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6. Age–sex differences in the global burden of lower respiratory infections and risk factors, 1990–2019: results from the Global Burden of Disease Study 2019

Author

Collaborators, GBD 2019 LRI, Kyu, Hmwe Hmwe, Vongpradith, Avina, Sirota, Sarah Brooke, Novotney, Amanda, Troeger, Christopher E, Doxey, Matthew C, Bender, Rose G, Ledesma, Jorge R, Biehl, Molly H, Albertson, Samuel B, Frostad, Joseph Jon, Burkart, Katrin, Bennitt, Fiona B, Zhao, Jeff T, Gardner, William M, Hagins, Hailey, Bryazka, Dana, Dominguez, Regina-Mae Villanueva, Abate, Semagn Mekonnen, Abdelmasseh, Michael, Abdoli, Amir, Abdoli, Gholamreza, Abedi, Aidin, Abedi, Vida, Abegaz, Tadesse M, Abidi, Hassan, Aboagye, Richard Gyan, Abolhassani, Hassan, Abtew, Yonas Derso, Ali, Hiwa Abubaker, Abu-Gharbieh, Eman, Abu-Zaid, Ahmed, Adamu, Kidist, Addo, Isaac Yeboah, Adegboye, Oyelola A, Adnan, Mohammad, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Muhammad Sohail, Afzal, Saira, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Araz Ramazan, Ahmad, Sajjad, Ahmadi, Ali, Ahmadi, Sepideh, Ahmed, Haroon, Ahmed, Jivan Qasim, Rashid, Tarik Ahmed, Akbarzadeh-Khiavi, Mostafa, Hamad, Hanadi Al, Albano, Luciana, Aldeyab, Mamoon A, Alemu, Bezatu Mengistie, Alene, Kefyalew Addis, Algammal, Abdelazeem M, Alhalaiqa, Fadwa Alhalaiqa Naji, Alhassan, Robert Kaba, Ali, Beriwan Abdulqadir, Ali, Liaqat, Ali, Musa Mohammed, Ali, Syed Shujait, Alimohamadi, Yousef, Alipour, Vahid, Al-Jumaily, Adel, Aljunid, Syed Mohamed, Almustanyir, Sami, Al-Raddadi, Rajaa M, Al-Rifai, Rami H Hani, AlRyalat, Saif Aldeen S, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson J, Ameyaw, Edward Kwabena, Dehkordi, Javad Javad Aminian, Amuasi, John H, Amugsi, Dickson A, Anbesu, Etsay Woldu, Ansar, Adnan, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Areda, Demelash, Argaw, Ayele Mamo, Argaw, Zeleke Gebru, Arulappan, Judie, Aruleba, Raphael Taiwo, Asemahagn, Mulusew A, Athari, Seyyed Shamsadin, Atlaw, Daniel, Attia, Engi F, Attia, Sameh, Aujayeb, Avinash, Awoke, Tewachew, Ayana, Tegegn Mulatu, Ayanore, Martin Amogre, Azadnajafabad, Sina, Azangou-Khyavy, Mohammadreza, Azari, Samad, Jafari, Amirhossein Azari, Badar, Muhammad, and Badiye, Ashish D

Subjects
Prevention, Good Health and Well Being, Adult, Child, Female, Male, Humans, Child, Preschool, Aged, Aged, 80 and over, Global Burden of Disease, Bayes Theorem, Sex Characteristics, Pyridinolcarbamate, Global Health, Respiratory Tract Infections, Risk Factors, Particulate Matter, Quality-Adjusted Life Years, GBD 2019 LRI Collaborators, Clinical Sciences, Medical Microbiology, Public Health and Health Services, Microbiology
Abstract

BackgroundThe global burden of lower respiratory infections (LRIs) and corresponding risk factors in children older than 5 years and adults has not been studied as comprehensively as it has been in children younger than 5 years. We assessed the burden and trends of LRIs and risk factors across all age groups by sex, for 204 countries and territories.MethodsIn this analysis of data for the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we used clinician-diagnosed pneumonia or bronchiolitis as our case definition for LRIs. We included International Classification of Diseases 9th edition codes 079.6, 466-469, 470.0, 480-482.8, 483.0-483.9, 484.1-484.2, 484.6-484.7, and 487-489 and International Classification of Diseases 10th edition codes A48.1, A70, B97.4-B97.6, J09-J15.8, J16-J16.9, J20-J21.9, J91.0, P23.0-P23.4, and U04-U04.9. We used the Cause of Death Ensemble modelling strategy to analyse 23 109 site-years of vital registration data, 825 site-years of sample vital registration data, 1766 site-years of verbal autopsy data, and 681 site-years of mortality surveillance data. We used DisMod-MR 2.1, a Bayesian meta-regression tool, to analyse age-sex-specific incidence and prevalence data identified via systematic reviews of the literature, population-based survey data, and claims and inpatient data. Additionally, we estimated age-sex-specific LRI mortality that is attributable to the independent effects of 14 risk factors.FindingsGlobally, in 2019, we estimated that there were 257 million (95% uncertainty interval [UI] 240-275) LRI incident episodes in males and 232 million (217-248) in females. In the same year, LRIs accounted for 1·30 million (95% UI 1·18-1·42) male deaths and 1·20 million (1·07-1·33) female deaths. Age-standardised incidence and mortality rates were 1·17 times (95% UI 1·16-1·18) and 1·31 times (95% UI 1·23-1·41) greater in males than in females in 2019. Between 1990 and 2019, LRI incidence and mortality rates declined at different rates across age groups and an increase in LRI episodes and deaths was estimated among all adult age groups, with males aged 70 years and older having the highest increase in LRI episodes (126·0% [95% UI 121·4-131·1]) and deaths (100·0% [83·4-115·9]). During the same period, LRI episodes and deaths in children younger than 15 years were estimated to have decreased, and the greatest decline was observed for LRI deaths in males younger than 5 years (-70·7% [-77·2 to -61·8]). The leading risk factors for LRI mortality varied across age groups and sex. More than half of global LRI deaths in children younger than 5 years were attributable to child wasting (population attributable fraction [PAF] 53·0% [95% UI 37·7-61·8] in males and 56·4% [40·7-65·1] in females), and more than a quarter of LRI deaths among those aged 5-14 years were attributable to household air pollution (PAF 26·0% [95% UI 16·6-35·5] for males and PAF 25·8% [16·3-35·4] for females). PAFs of male LRI deaths attributed to smoking were 20·4% (95% UI 15·4-25·2) in those aged 15-49 years, 30·5% (24·1-36·9) in those aged 50-69 years, and 21·9% (16·8-27·3) in those aged 70 years and older. PAFs of female LRI deaths attributed to household air pollution were 21·1% (95% UI 14·5-27·9) in those aged 15-49 years and 18·2% (12·5-24·5) in those aged 50-69 years. For females aged 70 years and older, the leading risk factor, ambient particulate matter, was responsible for 11·7% (95% UI 8·2-15·8) of LRI deaths.InterpretationThe patterns and progress in reducing the burden of LRIs and key risk factors for mortality varied across age groups and sexes. The progress seen in children younger than 5 years was clearly a result of targeted interventions, such as vaccination and reduction of exposure to risk factors. Similar interventions for other age groups could contribute to the achievement of multiple Sustainable Development Goals targets, including promoting wellbeing at all ages and reducing health inequalities. Interventions, including addressing risk factors such as child wasting, smoking, ambient particulate matter pollution, and household air pollution, would prevent deaths and reduce health disparities.FundingBill & Melinda Gates Foundation.

Published
2022

8. Meat and meat products as potential sources of emerging MDR Bacillus cereus: groEL gene sequencing, toxigenic and antimicrobial resistance

Author

Abdelazeem M. Algammal, Hamza M. Eid, Saad Alghamdi, Hanaa Ghabban, Roba Alatawy, Enas A. Almanzalawi, Tahani M. Alqahtani, Sabreen G. Elfouly, Gihan M. Mohammed, Helal F. Hetta, and Reham M. El-Tarabili

Subjects
MDR B. cereus, Meat and meat products, Resistance patterns, Toxigenic genes, Resistance genes, Microbiology, QR1-502
Abstract

Abstract Background Bacillus cereus is implicated in severe foodborne infection in humans. This study intended to assess the occurrence, groEL gene sequencing, biofilm production, and resistance profiles of emerged multidrug resistant (MDR) B. cereus in meat and meat product samples. Moreover, this work highlights the virulence and toxigenic genes (hblABCD complex, nheABC complex, cytK, ces, and pc-plc) and antimicrobial resistance genes (bla1, tetA, bla2, tetB, and ermA). Methods Consequently, 200 samples (sausage, minced meat, luncheon, beef meat, and liver; n = 40 for each) were indiscriminately collected from commercial supermarkets in Port Said Province, Egypt, from March to May 2021. Subsequently, food samples were bacteriologically examined. The obtained isolates were tested for groEL gene sequence analysis, antibiotic susceptibility, biofilm production, and PCR screening of toxigenic and resistance genes. Results The overall prevalence of B. cereus among the inspected food samples was 21%, where the highest predominance was detected in minced meat (42.5%), followed by beef meat (30%). The phylogenetic analysis of the groEL gene exposed that the examined B. cereus strain disclosed a notable genetic identity with other strains from the USA and China. Moreover, the obtained B. cereus strains revealed β-hemolytic activity, and 88.1% of the recovered strains tested positive for biofilm production. PCR evidenced that the obtained B. cereus strains usually inherited the nhe complex genes (nheA and nheC: 100%, and nheB: 83.3%), followed by cytK (76.2%), hbl complex (hblC and hblD: 59.5%, hblB: 16.6%, and hblA: 11.9%), ces (54.7%), and pc-plc (30.9%) virulence genes. Likewise, 42.9% of the examined B. cereus strains were MDR to six antimicrobial classes and encoded bla1, bla2, ermA, and tetA genes. Conclusion In summary, this study highlights the presence of MDR B. cereus in meat and meat products, posing a significant public health risk. The contamination by B. cereus is common in minced meat and beef meat. The molecular assay is a reliable fundamental tool for screening emerging MDR B. cereus strains in meat and meat products.

Published
2024
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9. The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019

Author

Collaborators, GBD 2019 Cancer Risk Factors, Tran, Khanh Bao, Lang, Justin J, Compton, Kelly, Xu, Rixing, Acheson, Alistair R, Henrikson, Hannah Jacqueline, Kocarnik, Jonathan M, Penberthy, Louise, Aali, Amirali, Abbas, Qamar, Abbasi, Behzad, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abbastabar, Hedayat, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdelwahab, Ahmed Abdelwahab, Abdoli, Gholamreza, Abdulkadir, Hanan Abdulkadir, Abedi, Aidin, Abegaz, Kedir Hussein, Abidi, Hassan, Aboagye, Richard Gyan, Abolhassani, Hassan, Absalan, Abdorrahim, Abtew, Yonas Derso, Ali, Hiwa Abubaker, Abu-Gharbieh, Eman, Achappa, Basavaprabhu, Acuna, Juan Manuel, Addison, Daniel, Addo, Isaac Yeboah, Adegboye, Oyelola A, Adesina, Miracle Ayomikun, Adnan, Mohammad, Adnani, Qorinah Estiningtyas Sakilah, Advani, Shailesh M, Afrin, Sumia, Afzal, Muhammad Sohail, Aggarwal, Manik, Ahinkorah, Bright Opoku, Ahmad, Araz Ramazan, Ahmad, Rizwan, Ahmad, Sajjad, Ahmad, Sohail, Ahmadi, Sepideh, Ahmed, Haroon, Ahmed, Luai A, Ahmed, Muktar Beshir, Rashid, Tarik Ahmed, Aiman, Wajeeha, Ajami, Marjan, Akalu, Gizachew Taddesse, Akbarzadeh-Khiavi, Mostafa, Aklilu, Addis, Akonde, Maxwell, Akunna, Chisom Joyqueenet, Hamad, Hanadi Al, Alahdab, Fares, Alanezi, Fahad Mashhour, Alanzi, Turki M, Alessy, Saleh Ali, Algammal, Abdelazeem M, Al-Hanawi, Mohammed Khaled, Alhassan, Robert Kaba, Ali, Beriwan Abdulqadir, Ali, Liaqat, Ali, Syed Shujait, Alimohamadi, Yousef, Alipour, Vahid, Aljunid, Syed Mohamed, Alkhayyat, Motasem, Al-Maweri, Sadeq Ali Ali, Almustanyir, Sami, Alonso, Nivaldo, Alqalyoobi, Shehabaldin, Al-Raddadi, Rajaa M, Al-Rifai, Rami H Hani, Al-Sabah, Salman Khalifah, Al-Tammemi, Ala'a B, Altawalah, Haya, Alvis-Guzman, Nelson, Amare, Firehiwot, Ameyaw, Edward Kwabena, Dehkordi, Javad Javad Aminian, Amirzade-Iranaq, Mohammad Hosein, Amu, Hubert, Amusa, Ganiyu Adeniyi, Ancuceanu, Robert, Anderson, Jason A, Animut, Yaregal Animut, Anoushiravani, Amir, Anoushirvani, Ali Arash, Ansari-Moghaddam, Alireza, Ansha, Mustafa Geleto, Antony, Benny, Antwi, Maxwell Hubert, Anwar, Sumadi Lukman, and Anwer, Razique

Subjects
Prevention, Cancer, Aetiology, 2.2 Factors relating to the physical environment, Good Health and Well Being, Female, Global Burden of Disease, Global Health, Humans, Male, Neoplasms, Quality-Adjusted Life Years, Risk Assessment, Risk Factors, Smoking, GBD 2019 Cancer Risk Factors Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract

BackgroundUnderstanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally.MethodsThe GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented.FindingsGlobally, in 2019, the risk factors included in this analysis accounted for 4·45 million (95% uncertainty interval 4·01-4·94) deaths and 105 million (95·0-116) DALYs for both sexes combined, representing 44·4% (41·3-48·4) of all cancer deaths and 42·0% (39·1-45·6) of all DALYs. There were 2·88 million (2·60-3·18) risk-attributable cancer deaths in males (50·6% [47·8-54·1] of all male cancer deaths) and 1·58 million (1·36-1·84) risk-attributable cancer deaths in females (36·3% [32·5-41·3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20·4% (12·6-28·4) and DALYs by 16·8% (8·8-25·0), with the greatest percentage increase in metabolic risks (34·7% [27·9-42·8] and 33·3% [25·8-42·0]).InterpretationThe leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden.FundingBill & Melinda Gates Foundation.

Published
2022

12. Resistance profiles, virulence and antimicrobial resistance genes of XDR S. Enteritidis and S. Typhimurium

Author

Abdelazeem M. Algammal, Reham M. El-Tarabili, Wafaa A. Abd El-Ghany, Enas A. Almanzalawi, Tahani M. Alqahtani, Hanaa Ghabban, Amenah S. Al-otaibi, Nayera M. Alatfeehy, Naira M. Abosleima, Helal F. Hetta, and Ghada A. Badawy

Subjects
S. Typhimurium, S. Enteritidis, XDR, Diseased broilers, Virulence genes, Antibiotic resistance genes, Biotechnology, TP248.13-248.65, Microbiology, QR1-502
Abstract

Abstract Avian salmonellosis is concomitant with high financial crises in the poultry industry as well as food-borne illness in man. The present study is designed to investigate the emergence of Salmonella Enteritidis and Salmonella Typhimurium in diseased broilers, resistance profiles, and monitoring virulence and antibiotic resistance genes. Consequently, 450 samples (cloacal swabs, liver, and spleen) were collected from 150 diseased birds from different farms in Giza Governorate, Egypt. Subsequently, the bacteriological examination was done. Afterward, the obtained Salmonella isolates were tested for serogrouping, antibiogram, PCR monitoring of virulence (invA, stn, hilA, and pefA), and antimicrobial resistance genes (bla TEM, bla CTX-M, bla NDM, ermA, sul1, tetA, and aadA1). The total prevalence of Salmonella in the examined diseased broilers was 9.3%, and the highest prevalence was noticed in cloacal swabs. Among the recovered Salmonella isolates (n = 35), 20 serovars were recognized as S. Enteritidis and 15 serovars were identified as S. Typhimurium. Almost 60% of the retrieved S. Enteritidis serovars were extensively drug-resistant (XDR) to seven antimicrobial classes and inherited sul1, bla TEM, tetA, bla CTX-M, ereA, and aadA1 genes. Likewise, 25% of the recovered S. Enteritidis serovars were multidrug-resistant (MDR) to six classes and have sul1, bla TEM, tetA, bla CTX-M, and ereA resistance genes. Also, 66.7% of the retrieved S. Typhimurium serovars were XDR to seven classes and have sul1, bla TEM, tetA, bla CTX-M, ereA, and aadA1 genes. Succinctly, this report underlined the reemergence of XDR S. Typhimurium and S. Enteritidis in broiler chickens. Meropenem and norfloxacin exposed a hopeful antimicrobial activity toward the re-emerging XDR S. Typhimurium and S. Enteritidis in broilers. Moreover, the recurrence of these XDR Salmonella strains poses a potential public health threat.

Published
2023
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14. Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author

Steinmetz, Jaimie D, Seeher, Katrin Maria, Schiess, Nicoline, Nichols, Emma, Cao, Bochen, Servili, Chiara, Cavallera, Vanessa, Cousin, Ewerton, Hagins, Hailey, Moberg, Madeline E, Mehlman, Max L, Abate, Yohannes Habtegiorgis, Abbas, Jaffar, Abbasi, Madineh Akram, Abbasian, Mohammadreza, Abbastabar, Hedayat, Abdelmasseh, Michael, Abdollahi, Mohammad, Abdollahi, Mozhan, Abdollahifar, Mohammad-Amin, Abd-Rabu, Rami, Abdulah, Deldar Morad, Abdullahi, Auwal, Abedi, Aidin, Abedi, Vida, Abeldańo Zuńiga, Roberto Ariel, Abidi, Hassan, Abiodun, Olumide, Aboagye, Richard Gyan, Abolhassani, Hassan, Aboyans, Victor, Abrha, Woldu Aberhe, Abualhasan, Ahmed, Abu-Gharbieh, Eman, Aburuz, Salahdein, Adamu, Lawan Hassan, Addo, Isaac Yeboah, Adebayo, Oladimeji M, Adekanmbi, Victor, Adekiya, Tayo Alex, Adikusuma, Wirawan, Adnani, Qorinah Estiningtyas Sakilah, Adra, Saryia, Afework, Tsion, Afolabi, Aanuoluwapo Adeyimika, Afraz, Ali, Afzal, Saira, Aghamiri, Shahin, Agodi, Antonella, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Danish, Ahmad, Sajjad, Ahmadzade, Amir Mahmoud, Ahmed, Ali, Ahmed, Ayman, Ahmed, Haroon, Ahmed, Jivan Qasim, Ahmed, Luai A, Ahmed, Muktar Beshir, Ahmed, Syed Anees, Ajami, Marjan, Aji, Budi, Ajumobi, Olufemi, Akade, Seyed Esma'il, Akbari, Morteza, Akbarialiabad, Hossein, Akhlaghi, Shiva, Akinosoglou, Karolina, Akinyemi, Rufus Olusola, Akonde, Maxwell, Al Hasan, Syed Mahfuz, Alahdab, Fares, AL-Ahdal, Tareq Mohammed Ali, Al-amer, Rasmieh Mustafa, Albashtawy, Mohammed, AlBataineh, Mohammad T, Aldawsari, Khalifah A, Alemi, Hediyeh, Alemi, Sharifullah, Algammal, Abdelazeem M, Al-Gheethi, Adel Ali Saeed, Alhalaiqa, Fadwa Alhalaiqa Naji, Alhassan, Robert Kaba, Ali, Abid, Ali, Endale Alemayehu, Ali, Liaqat, Ali, Mohammed Usman, Ali, Musa Mohammed, Ali, Rafat, Ali, Shahid, Ali, Syed Shujait Shujait, Ali, Zahid, Alif, Sheikh Mohammad, Alimohamadi, Yousef, Aliyi, Ahmednur Adem, Aljofan, Mohamad, Aljunid, Syed Mohamed, Alladi, Suvarna, Almazan, Joseph Uy, Almustanyir, Sami, Al-Omari, Basem, Alqahtani, Jaber S, Alqasmi, Ibrahim, Alqutaibi, Ahmed Yaseen, Al-Shahi Salman, Rustam, Altaany, Zaid, Al-Tawfiq, Jaffar A, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Al-Worafi, Yaser Mohammed, Aly, Hany, Aly, Safwat, Alzoubi, Karem H, Amani, Reza, Amindarolzarbi, Alireza, Amiri, Sohrab, Amirzade-Iranaq, Mohammad Hosein, Amu, Hubert, Amugsi, Dickson A, Amusa, Ganiyu Adeniyi, Amzat, Jimoh, Ancuceanu, Robert, Anderlini, Deanna, Anderson, David B, Andrei, Catalina Liliana, Androudi, Sofia, Angappan, Dhanalakshmi, Angesom, Teklit W, Anil, Abhishek, Ansari-Moghaddam, Alireza, Anwer, Razique, Arafat, Mosab, Aravkin, Aleksandr Y, Areda, Demelash, Ariffin, Hany, Arifin, Hidayat, Arkew, Mesay, Ärnlöv, Johan, Arooj, Mahwish, Artamonov, Anton A, Artanti, Kurnia Dwi, Aruleba, Raphael Taiwo, Asadi-Pooya, Ali A, Asena, Tilahun Ferede, Asghari-Jafarabadi, Mohammad, Ashraf, Muhammad, Ashraf, Tahira, Atalell, Kendalem Asmare, Athari, Seyyed Shamsadin, Atinafu, Bantalem Tilaye Tilaye, Atorkey, Prince, Atout, Maha Moh'd Wahbi, Atreya, Alok, Aujayeb, Avinash, Avan, Abolfazl, Ayala Quintanilla, Beatriz Paulina, Ayatollahi, Haleh, Ayinde, Olatunde O, Ayyoubzadeh, Seyed Mohammad, Azadnajafabad, Sina, Azizi, Zahra, Azizian, Khalil, Azzam, Ahmed Y, Babaei, Mahsa, Badar, Muhammad, Badiye, Ashish D, Baghdadi, Soroush, Bagherieh, Sara, Bai, Ruhai, Baig, Atif Amin, Balakrishnan, Senthilkumar, Balalla, Shivanthi, Baltatu, Ovidiu Constantin, Banach, Maciej, Bandyopadhyay, Soham, Banerjee, Indrajit, Baran, Mehmet Firat, Barboza, Miguel A, Barchitta, Martina, Bardhan, Mainak, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barrow, Amadou, Bashash, Davood, Bashiri, Hamideh, Bashiru, Hameed Akande, Basiru, Afisu, Basso, João Diogo, Basu, Sanjay, Batiha, Abdul-Monim Mohammad, Batra, Kavita, Baune, Bernhard T, Bedi, Neeraj, Begde, Ahmet, Begum, Tahmina, Behnam, Babak, Behnoush, Amir Hossein, Beiranvand, Maryam, Béjot, Yannick, Bekele, Alehegn, Belete, Melaku Ashagrie, Belgaumi, Uzma Iqbal, Bemanalizadeh, Maryam, Bender, Rose G, Benfor, Bright, Bennett, Derrick A, Bensenor, Isabela M, Berice, Betyna, Bettencourt, Paulo J G, Beyene, Kebede A, Bhadra, Abhishek, Bhagat, Devidas S, Bhangdia, Kayleigh, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhargava, Ashish, Bhaskar, Sonu, Bhat, Ajay Nagesh, Bhat, Vivek, Bhatti, Gurjit Kaur, Bhatti, Jasvinder Singh, Bhatti, Rajbir, Bijani, Ali, Bikbov, Boris, Bilalaga, Mariah Malak, Biswas, Atanu, Bitaraf, Saeid, Bitra, Veera R, Bjørge, Tone, Bodolica, Virginia, Bodunrin, Aadam Olalekan, Boloor, Archith, Braithwaite, Dejana, Brayne, Carol, Brenner, Hermann, Briko, Andrey, Bringas Vega, Maria L, Brown, Julie, Budke, Christine M, Buonsenso, Danilo, Burkart, Katrin, Burns, Richard A, Bustanji, Yasser, Butt, Muhammad Hammad, Butt, Nadeem Shafique, Butt, Zahid A, Cabral, Lucas Scotta, Caetano dos Santos, Florentino Luciano, Calina, Daniela, Campos-Nonato, Ismael R, Cao, Chao, Carabin, Hélène, Cárdenas, Rosario, Carreras, Giulia, Carvalho, Andre F, Castańeda-Orjuela, Carlos A, Casulli, Adriano, Catalá-López, Ferrán, Catapano, Alberico L, Caye, Arthur, Cegolon, Luca, Cenderadewi, Muthia, Cerin, Ester, Chacón-Uscamaita, Pamela R, Chan, Jeffrey Shi Kai, Chanie, Gashaw Sisay, Charan, Jaykaran, Chattu, Vijay Kumar, Chekol Abebe, Endeshaw, Chen, Hui, Chen, Jianqi, Chi, Gerald, Chichagi, Fatemeh, Chidambaram, Saravana Babu, Chimoriya, Ritesh, Ching, Patrick R, Chitheer, Abdulaal, Chong, Yuen Yu, Chopra, Hitesh, Choudhari, Sonali Gajanan, Chowdhury, Enayet Karim, Chowdhury, Rajiv, Christensen, Hanne, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Chung, Eric, Coberly, Kaleb, Columbus, Alyssa, Comachio, Josielli, Conde, Joao, Cortesi, Paolo Angelo, Costa, Vera Marisa, Couto, Rosa A S, Criqui, Michael H, Cruz-Martins, Natália, Dabbagh Ohadi, Mohammad Amin, Dadana, Sriharsha, Dadras, Omid, Dai, Xiaochen, Dai, Zhaoli, D'Amico, Emanuele, Danawi, Hadi A, Dandona, Lalit, Dandona, Rakhi, Darwish, Amira Hamed, Das, Saswati, Das, Subasish, Dascalu, Ana Maria, Dash, Nihar Ranjan, Dashti, Mohsen, De la Hoz, Fernando Pio, de la Torre-Luque, Alejandro, De Leo, Diego, Dean, Frances E, Dehghan, Amin, Dehghan, Azizallah, Dejene, Hiwot, Demant, Daniel, Demetriades, Andreas K, Demissie, Solomon, Deng, Xinlei, Desai, Hardik Dineshbhai, Devanbu, Vinoth Gnana Chellaiyan, Dhama, Kuldeep, Dharmaratne, Samath Dhamminda, Dhimal, Meghnath, Dias da Silva, Diana, Diaz, Daniel, Dibas, Mahmoud, Ding, Delaney D, Dinu, Monica, Dirac, M Ashworth, Diress, Mengistie, Do, Thanh Chi, Do, Thao Huynh Phuong, Doan, Khanh Duy Khanh, Dodangeh, Milad, Doheim, Mohamed Fahmy, Dokova, Klara Georgieva, Dongarwar, Deepa, Dsouza, Haneil Larson, Dube, John, Duraisamy, Senbagam, Durojaiye, Oyewole Christopher, Dutta, Sulagna, Dziedzic, Arkadiusz Marian, Edinur, Hisham Atan, Eissazade, Negin, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, El Nahas, Nevine, El Sayed, Iman, Elahi Najafi, Mohammad Amin, Elbarazi, Iffat, Elemam, Noha 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17. Evaluation of Rezum therapy as a minimally invasive modality for management of Benign Prostatic Hyperplasia: A prospective observational study

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Tamer A. Abouelgreed, Ayman K. Koritenah, Yasser Badran, Ibrahim Tagreda, Mohamed Algammal, Hesham Abozied, Hany A. Eldamanhory, Hossam A. Shouman, Abdelhamid A. Khattab, Munira Ali, Mohammad Thabet Alnajem, and Ahmed A. Abdelwahed

Subjects
Hyperplasia, Prostate, Rezum, Diseases of the genitourinary system. Urology, RC870-923
Abstract

Objective: To evaluate safety and efficacy of Rezum therapy as a minimally invasive modality for management of benign prostatic hyperplasia in patients with prostate volume < 80cc and those with prostate volume > 80cc. Methods: Between June 2020 and February 2023, A total of 98 patients diagnosed with BPH and managed by Rezum were included in this study. Patients were divided based on their prostate volume of either less than 80 cc or greater than 80 cc. We evaluated several parameters related to their condition, including prostate volume, post-voiding residual (PVR) before and after surgery, number of treatments received, maximum urine flow rate (Qmax) before and after surgery and mean follow- up periods. Results: The mean age was 68 years (SD 11.2). The median prostatic volume was 62 cc (IQR 41, 17). A maximum of 9 treatments were administered. Six months was determined to be the average post-operative follow-up period (IQR: 3.5-7.2). The mean preoperative total PSA was 2.7 (IQR 1, 2), preoperative mean PVR was 79.8 cm3, preoperative mean Qmax was 8.2 ml/s (IQR 4.7-10.5), and median post-operative days until catheter removal was four days (IQR 3,1). Post-operative PVR was 24.7 cm3 (IQR 18.2, 29.4) and the mean post-operative Qmax was 18.3 ml/s (SD 6.3). Qmax levels significantly increased, by an average of 8.2 ml/s (SD 7.13) (p < 0.001). Similarly, a decrease of average PVR of 97.28 cm3 (SD 95.85) (p < 0.001) was detected, which is a substantial reduction. Between prostates less 80cc and those over 80cc, there were no appreciable differences in Qmax or PVR (p-values: 0.435 and 0.431, respectively). Conclusions: From our study, we conclude that Rezum water vapor thermal therapy, as a minimally invasive modality, is an effective and safe surgical option for management of benign prostatic hyperplasia of men with moderate to severe lower urinary tract symptoms (LUTS). This procedure has been shown to be effective in patients with varying larger prostate volumes.

Published
2023
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19. Evaluation of bipolar Transurethral Enucleation and Resection of the Prostate in terms of efficiency and patient satisfaction compared to retropubic open prostatectomy in prostates larger than 80 cc. A prospective randomized study

Author

Ibrahim Tagreda, Mahmoud Heikal, Adel Elatreisy, Mohamed Fawzy Salman, Ahmed Mohamed Soliman, Ayman Kotb Koritenah, Hesham Abozied, Mohamed Ibrahim Algammal, Ahmed A. Alrefaey, Mohamed Elsalhy, Mohamed Shehab, Mahmoud Mohammed Ali, Aly Gomaa Eid, Abdrabuh M. Abdrabuh, and Sayed Eleweedy

Subjects
TUERP, simple retropubic prostatectomy, complications, Diseases of the genitourinary system. Urology, RC870-923
Abstract

Objectives: To compare the outcomes of bipolar Transurethral Enucleation Resection of the Prostate (TUERP) and simple retropubic prostatectomy in patients with prostate volumes larger than 80 cc. Patients and methods: A prospective randomized study included all patients amenable to surgeries for benign prostate hyperplasia (BPH) with prostate size over 80 cc at a tertiary care hospital between January 2020 to February 2022. Bipolar TUERP and Retropubic open prostatectomy techniques were compared regarding patients' demographics, intraoperative parameters, outcomes, and peri-operative complications. Results: Ninety patients were included in our study and randomly assigned to bipolar TUERP (Group 1 = 45 patients) and retropubic open prostatectomy (Group 2 = 45 patients). The TUERP group demonstrated significantly lower operative time (77 ± 11 minutes vs. 99 ± 14 minutes, p < 0.001), hemoglobin drop (median = 1.1 vs. 2.5, p < 0.001), and resected tissue weight (71 ± 6.6 cc vs. 84.5 ± 10.6 cc, p < 0.001). Postoperatively, the TUERP group demonstrated significantly lower catheter time (median = 2 vs. 7 days, p < 0.001) and less hospital stay. IPSS, Qmax, and patient satisfaction were better in the TUERP group within six months of surgery. We reported 90-day complications after TUERP in 13.3% of patients compared to 17.8% after retropubic prostatectomy, with a statistically insignificant difference. Urethral stricture predominated after TUERP, while blood transfusion dominated in retropubic prostatectomy. Conclusions: The present study found that TUERP had equivalent efficacy and safety to open retropubic prostatectomy for patients with BPH and prostate volumes > 80 ml.

Published
2023
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21. Safety and efficacy of percutaneous nephrolithotripsy in comorbid patients: A 3 years prospective observational study

Author

Tamer A. Abouelgreed, Hassan Ismail, Sameh S. Ali, Ayman K. Koritenah, Yasser Badran, Mahmoud Ali, Rasha Ahmed, Mohamed Algammal, Ahmed Alrefaey, Aly Gomaa, Mohame. F. Elebiary, Hany A. Eldamanhory, Abdelhamid A. Khattab, Nermeen M. Abdelmonem, Mohamed Thabet Alnajem, Tamer G. Abdelhamid, Ahmed A. Abdelwahed, and Salma F. Abdelkader

Subjects
Percutaneous nephrolithotripsy, Nephrostomy, Renal stones, Diseases of the genitourinary system. Urology, RC870-923
Abstract

Purpose: To report the result of percutaneous nephrolithotripsy (PCNL) via standard nephrostomy tract in a single training institution. The perioperative complications in relation to the comorbid state are particularly assessed. Patients and methods: A prospective interventional study between January 2019 to November 2022, included 210 patients scheduled for PCNL. The average age was 40.3 ± 11.8 years (range 18- 67 years). Patients were categorized into two groups. The first group comprised 146 cases (69 .5%) with no associated co-morbidities while the second group 64 (30.5%) had co-morbidities such as obesity in 4 cases (1.9%), hypertension (HTN) in 24 cases (11.4%) cases, diabetes mellitus (DM) in 17 (8.1%) cases, history of recurrent stone surgery in 11 (5.2%) cases and more than one in 8 cases (3.8%). Co-morbidities, stone burden, location of stone, time of surgery, stay in the hospital, further operations, and negative events were among the reported data. Complications and the stone-free rate were the main outcome indicators. Results: Intraoperative complications were reported in 40 (18.8%) patients (18 group 1 and 22 group 2) during PCNL. Bleeding occurred in 22 (10.5%) patients (9 group 1 and 13 group 2), blood transfusions were needed in 4 (1.9%) (2 group 1 and 2 group 2), extravasation was observed in 11 patients (5.2%) (6 group 1 and 5 group 2) and cardiac arrhythmia in 3 (1.4%) (1 group 1 and 2 group 2) patients. Postoperative complications occurred in 61 patients (29%) (24 group 1 and 37 group 2) in the form of fever in 10 patients (4.8 %) (3 group 1 and 7 group 2) and prolonged leakage in 50 patients (23.8%) (21 group 1 and 29 group 2). One patient of group 2 died from postoperative sepsis. Extravasation and postoperative leakage were higher in diabetic patients than in non-diabetics. Stonefree rate was 60.5% (127 of 210). Clinically significant residual fragments (CSRFs) found in 70 cases (33.3%) (33 group 1 and 37 group 2). In 13 cases (6.2%) (5 group 1 and 8 group 2), clinically insignificant residual fragments (CIRFs) were found. In 8 (3 group 1 and 5 group 2) of the 13 cases, spontaneous stone passage was observed within 4-6 weeks of surgery. Residual stones in three cases (1 group 1 and 2 group 2) were asymptomatic and 4 mm or less, whereas stones increased in two cases of group 2. Among all factors studied, stone burden was significantly correlated to both intraoperative and postoperative complications. The occurrence of postoperative fever increased with large stone burden. Conclusions: PCNL is a therapeutic modality that is effective, feasible, and safe for a wide range of patients with concurrent medical issues. A steep curve is required to reduce intraoperative and postoperative complications.

Published
2023
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23. oprL Gene Sequencing, Resistance Patterns, Virulence Genes, Quorum Sensing and Antibiotic Resistance Genes of XDR Pseudomonas aeruginosa Isolated from Broiler Chickens

Author

Algammal AM, Eidaroos NH, Alfifi KJ, Alatawy M, Al-Harbi AI, Alanazi YF, Ghobashy MOI, khafagy AR, Esawy AM, El-Sadda SS, Hetta HF, and El-Tarabili RM

Subjects
p. aeruginosa, mdr, xdr, oprl sequence analysis, quorum sensing, virulence genes, resistance genes., Infectious and parasitic diseases, RC109-216
Abstract

Abdelazeem M Algammal,1 Nada H Eidaroos,1 Khyreyah J Alfifi,2 Marfat Alatawy,2 Alhanouf I Al-Harbi,3 Yasmene F Alanazi,4 Madeha OI Ghobashy,2,5 Ahmed R khafagy,6 Aboelkheir M Esawy,7 Soha S El-Sadda,7 Helal F Hetta,8 Reham M El-Tarabili1 1Department of Bacteriology, Immunology, and Mycology, Faculty of Veterinary Medicine, Suez Canal University, Ismailia, Egypt; 2Department of Biology, Faculty of Science, University of Tabuk, Tabuk, Saudi Arabia; 3Department of Medical Laboratory, College of Applied Medical Sciences, Taibah University, Yanbu, Saudi Arabia; 4Department of Biochemistry, Faculty of Science, University of Tabuk, Tabuk, Saudi Arabia; 5Microbiology Department, Faculty of Science, Ain Shams University, Cairo, Egypt; 6Department of Microbiology, Faculty of Veterinary Medicine, Ain Shams University, Cairo, Egypt; 7Animal Health Research Institute, Mansoura, Egypt; 8Department of Medical Microbiology and Immunology, Faculty of Medicine, Assiut University, Assiut, EgyptCorrespondence: Abdelazeem M Algammal, Department of Bacteriology, Immunology and Mycology, Faculty of Veterinary Medicine, Suez Canal University, Ismailia, 41522, Egypt, Email abdelazeem.algammal@vet.suez.edu.egBackground: Pseudomonas aeruginosa is incriminated in septicemia, significant economic losses in the poultry production sector, and severe respiratory infections in humans. This study aimed to investigate the occurrence, oprL sequencing, antimicrobial resistance patterns, virulence-determinant, Quorum sensing, and antibiotic resistance genes of P. aeruginosa retrieved from broiler chickens.Methods: Two hundred samples were collected from 120 broiler chickens from broiler farms at Ismailia Governorate, Egypt. Consequently, the bacteriological examination was conducted and the obtained P. aeruginosa strains were tested for oprL gene sequencing, antibiogram, and PCR screening of virulence, Quorum sensing, and antibiotic resistance genes.Results: The overall prevalence of P. aeruginosa in the examined birds was 28.3%. The oprL gene sequence analysis underlined that the tested strain expressed a notable genetic identity with various P. aeruginosa strains isolated from different geographical areas in the USA, India, China, Chile, and Ghana. PCR evidenced that the obtained P. aeruginosa strains, carrying virulence-related genes: oprL, toxA, aprA, phzM, and exoS in a prevalence of 100%, 100%, 42.5%, 33.3%, and 25.9%, respectively. Moreover, the recovered P. aeruginosa strains possessed the Quorum sensing genes: lasI, lasR, rhlI, and rhlR in a prevalence of 85.2%, 85.2%, 81.5%, and 81.5%, respectively. Furthermore, 40.7% of the isolated P. aeruginosa were XDR to seven antimicrobial classes, possessing sul 1, blaTEM, tetA, blaCTX-M, blaOXA-1, and aadA1 genes.Conclusion: As we can tell, this is the first report emphasizing the evolution of XDR P. aeruginosa strains from broiler chicken in Egypt, which is supposed to be a serious threat to public health. The emerging XDR P. aeruginosa in poultry frequently harbored the oprL, toxA, and aprA virulence genes, the lasI, lasR, rhlI, and rhlR Quorum sensing genes, and the sul 1, blaTEM, tetA, blaCTXM, blaOXA-1, and aadA1 resistance genes.Keywords: P. aeruginosa, MDR, XDR, oprL sequence analysis, Quorum sensing, virulence genes, resistance genes

Published
2023

24. Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author

Steinmetz, J, Seeher, K, Schiess, N, Nichols, E, Cao, B, Servili, C, Cavallera, V, Cousin, E, Hagins, H, Moberg, M, Mehlman, M, Abate, Y, Abbas, J, Abbasi, M, Abbasian, M, Abbastabar, H, Abdelmasseh, M, Abdollahi, M, Abdollahifar, M, Abd-Rabu, R, Abdulah, D, Abdullahi, A, Abedi, A, Abedi, V, Abeldano Zuniga, R, Abidi, H, Abiodun, O, Aboagye, R, Abolhassani, H, Aboyans, V, Abrha, W, Abualhasan, A, Abu-Gharbieh, E, Aburuz, S, Adamu, L, Addo, I, Adebayo, O, Adekanmbi, V, Adekiya, T, Adikusuma, W, Adnani, Q, Adra, S, Afework, T, Afolabi, A, Afraz, A, Afzal, S, Aghamiri, S, Agodi, A, Agyemang-Duah, W, Ahinkorah, B, Ahmad, A, Ahmad, D, Ahmad, S, Ahmadzade, A, Ahmed, A, Ahmed, H, Ahmed, J, Ahmed, L, Ahmed, M, Ahmed, S, Ajami, M, Aji, B, Ajumobi, O, Akade, S, Akbari, M, Akbarialiabad, H, Akhlaghi, S, Akinosoglou, K, Akinyemi, R, Akonde, M, Al Hasan, S, Alahdab, F, Al-Ahdal, T, Al-Amer, R, Albashtawy, M, Albataineh, M, Aldawsari, K, Alemi, H, Alemi, S, Algammal, A, Al-Gheethi, A, Alhalaiqa, F, Alhassan, R, Ali, A, Ali, E, Ali, L, Ali, M, Ali, R, Ali, S, Shujait Ali, S, Ali, Z, Alif, S, Alimohamadi, Y, Aliyi, A, Aljofan, M, Aljunid, S, Alladi, S, Almazan, J, Almustanyir, S, Al-Omari, B, Alqahtani, J, Alqasmi, I, Alqutaibi, A, Al-Shahi Salman, R, Altaany, Z, Al-Tawfiq, J, Altirkawi, K, Alvis-Guzman, N, Al-Worafi, Y, Aly, H, Aly, S, Alzoubi, K, Amani, R, Amindarolzarbi, A, Amiri, S, Amirzade-Iranaq, M, Amu, H, Amugsi, D, Amusa, G, Amzat, J, Ancuceanu, R, Anderlini, D, Anderson, D, Andrei, C, Androudi, S, Angappan, D, Angesom, T, Anil, A, Ansari-Moghaddam, A, Anwer, R, Arafat, M, Aravkin, A, Areda, D, Ariffin, H, Arifin, H, Arkew, M, Arnlov, J, Arooj, M, Artamonov, A, Artanti, K, Aruleba, R, Asadi-Pooya, A, Asena, T, Asghari-Jafarabadi, M, Ashraf, M, Ashraf, T, Atalell, K, Athari, S, Atinafu, B, Atorkey, P, Atout, M, Atreya, A, Aujayeb, A, Avan, A, Ayala Quintanilla, B, Ayatollahi, H, Ayinde, O, Mohammad Ayyoubzadeh, S, Azadnajafabad, S, Azizi, Z, Azizian, K, Azzam, A, Babaei, M, Badar, M, Badiye, A, Baghdadi, S, Bagherieh, S, Bai, R, Baig, A, Balakrishnan, S, Balalla, S, Baltatu, O, Banach, M, Bandyopadhyay, S, Banerjee, I, Baran, M, Barboza, M, Barchitta, M, Bardhan, M, Barker-Collo, S, Barnighausen, T, Barrow, A, Bashash, D, Bashiri, H, Bashiru, H, Basiru, A, Basso, J, Basu, S, Batiha, A, Batra, K, Baune, B, Bedi, N, Begde, A, Begum, T, Behnam, B, Behnoush, A, Beiranvand, M, Bejot, Y, Bekele, A, Belete, M, Belgaumi, U, Bemanalizadeh, M, Bender, R, Benfor, B, Bennett, D, Bensenor, I, Berice, B, Bettencourt, P, Beyene, K, Bhadra, A, Bhagat, D, Bhangdia, K, Bhardwaj, N, Bhardwaj, P, Bhargava, A, Bhaskar, S, Bhat, A, Bhat, V, Bhatti, G, Bhatti, J, Bhatti, R, Bijani, A, Bikbov, B, Bilalaga, M, Biswas, A, Bitaraf, S, Bitra, V, Bjorge, T, Bodolica, V, Bodunrin, A, Boloor, A, Braithwaite, D, Brayne, C, Brenner, H, Briko, A, Bringas Vega, M, Brown, J, Budke, C, Buonsenso, D, Burkart, K, Burns, R, Bustanji, Y, Butt, M, Butt, N, Butt, Z, Cabral, L, dos Santos, F, Calina, D, Campos-Nonato, I, Cao, C, Carabin, H, Cardenas, R, Carreras, G, Carvalho, A, Castaneda-Orjuela, C, Casulli, A, Catala-Lopez, F, Catapano, A, Caye, A, Cegolon, L, Cenderadewi, M, Cerin, E, Chacon-Uscamaita, P, Chan, J, Chanie, G, Charan, J, Chattu, V, Chekol Abebe, E, Chen, H, Chen, J, Chi, G, Chichagi, F, Chidambaram, S, Chimoriya, R, Ching, P, Chitheer, A, Chong, Y, Chopra, H, Choudhari, S, Chowdhury, E, Chowdhury, R, Christensen, H, Chu, D, Chukwu, I, Chung, E, Coberly, K, Columbus, A, Comachio, J, Conde, J, Cortesi, P, Costa, V, Couto, R, Criqui, M, Cruz-Martins, N, Dabbagh Ohadi, M, Dadana, S, Dadras, O, Dai, X, Dai, Z, D'Amico, E, Danawi, H, Dandona, L, Dandona, R, Darwish, A, Das, S, Dascalu, A, Dash, N, Dashti, M, De la Hoz, F, de la Torre-Luque, A, De Leo, D, Dean, F, Dehghan, A, Dejene, H, Demant, D, Demetriades, A, Demissie, S, Deng, X, Desai, H, Devanbu, V, Dhama, K, Dharmaratne, S, Dhimal, M, Dias da Silva, D, Diaz, D, Dibas, M, Ding, D, Dinu, M, Dirac, M, Diress, M, Do, T, Doan, K, Dodangeh, M, Doheim, M, Dokova, K, Dongarwar, D, Dsouza, H, Dube, J, Duraisamy, S, Durojaiye, O, Dutta, S, Dziedzic, A, Edinur, H, Eissazade, N, Ekholuenetale, M, Ekundayo, T, El Nahas, N, El Sayed, I, Elahi Najafi, M, Elbarazi, I, Elemam, N, Elgar, F, Elgendy, I, Elhabashy, H, Elhadi, M, Elilo, L, Ellenbogen, R, Elmeligy, O, Elmonem, M, Elshaer, M, Elsohaby, I, Emamverdi, M, Emeto, T, Endres, M, Esezobor, C, Eskandarieh, S, Fadaei, A, Fagbamigbe, A, Fahim, A, Faramarzi, A, Fares, J, Farjoud Kouhanjani, M, Faro, A, Farzadfar, F, Fatehizadeh, A, Fathi, M, Fathi, S, Fatima, S, Feizkhah, A, Fereshtehnejad, S, Ferrari, A, Ferreira, N, Fetensa, G, Firouraghi, N, Fischer, F, Fonseca, A, Force, L, Fornari, A, Foroutan, B, Fukumoto, T, Gadanya, M, Gaidhane, A, Galali, Y, Galehdar, N, Gan, Q, Gandhi, A, Ganesan, B, Gardner, W, Garg, N, Gau, S, Gautam, R, Gebre, T, Gebrehiwot, M, Gebremeskel, G, Gebreslassie, H, Getacher, L, Ghaderi Yazdi, B, Ghadirian, F, Ghaffarpasand, F, Ghanbari, R, Ghasemi, M, Ghazy, R, Ghimire, S, Gholami, A, Gholamrezanezhad, A, Ghotbi, E, Ghozy, S, Gialluisi, A, Gill, P, Glasstetter, L, Gnedovskaya, E, Golchin, A, Golechha, M, Goleij, P, Golinelli, D, Gomes-Neto, M, Goulart, A, Goyal, A, Gray, R, Grivna, M, Guadie, H, Guan, B, Guarducci, G, Guicciardi, S, Gunawardane, D, Guo, H, Gupta, B, Gupta, R, Gupta, S, Gupta, V, Gutierrez, R, Habibzadeh, F, Hachinski, V, Haddadi, R, Hadei, M, Hadi, N, Haep, N, Haile, T, Haj-Mirzaian, A, Hall, B, Halwani, R, Hameed, S, Hamiduzzaman, M, Hammoud, A, Han, H, Hanifi, N, Hankey, G, Hannan, M, Hao, J, Harapan, H, Hareru, H, Hargono, A, Harlianto, N, Haro, J, Hartman, N, Hasaballah, A, Hasan, F, Hasani, H, Hasanian, M, Hassan, A, Hassan, S, Hassanipour, S, Hassankhani, H, Hassen, M, Haubold, J, Hay, S, Hayat, K, Hegazy, M, Heidari, G, Heidari, M, Heidari-Soureshjani, R, Hesami, H, Hezam, K, Hiraike, Y, Hoffman, H, Holla, R, Hopf, K, Horita, N, Hossain, M, Hossain, S, Hosseinzadeh, H, Hosseinzadeh, M, Hostiuc, S, Hu, C, Huang, J, Huda, M, Hussain, J, Hussein, N, Huynh, H, Hwang, B, Ibitoye, S, Ilaghi, M, Ilesanmi, O, Ilic, I, Ilic, M, Immurana, M, Iravanpour, F, Islam, S, Ismail, F, Iso, H, Isola, G, Iwagami, M, Iwu, C, Iyer, M, Jaan, A, Jacob, L, Jadidi-Niaragh, F, Jafari, M, Jafarinia, M, Jafarzadeh, A, Jahankhani, K, Jahanmehr, N, Jahrami, H, Jaiswal, A, Jakovljevic, M, Jamora, R, Jana, S, Javadi, N, Javed, S, Javeed, S, Jayapal, S, Jayaram, S, Jiang, H, Johnson, C, Johnson, W, Jokar, M, Jonas, J, Joseph, A, Joseph, N, Joshua, C, Jurisson, M, Kabir, A, Kabir, Z, Kabito, G, Kadashetti, V, Kafi, F, Kalani, R, Kalantar, F, Kaliyadan, F, Kamath, A, Kamath, S, Kanchan, T, Kandel, A, Kandel, H, Kanmodi, K, Karajizadeh, M, Karami, J, Karanth, S, Karaye, I, Karch, A, Karimi, A, Karimi, H, Karimi Behnagh, A, Kasraei, H, Kassebaum, N, Kauppila, J, Kaur, H, Kaur, N, Kayode, G, Kazemi, F, Keikavoosi-Arani, L, Keller, C, Keykhaei, M, Khadembashiri, M, Khader, Y, Khafaie, M, Khajuria, H, Khalaji, A, Khamesipour, F, Khammarnia, M, Khan, M, Khan, Y, Suheb, M, Khanmohammadi, S, Khanna, T, Khatab, K, Khatatbeh, H, Khatatbeh, M, Khateri, S, Khatib, M, Khayat Kashani, H, Khonji, M, Khorashadizadeh, F, Khormali, M, Khubchandani, J, Kian, S, Kim, G, Kim, J, Kim, M, Kim, Y, Kimokoti, R, Kisa, A, Kisa, S, Kivimaki, M, Kochhar, S, Kolahi, A, Koly, K, Kompani, F, Koroshetz, W, Kosen, S, Kourosh Arami, M, Koyanagi, A, Kravchenko, M, Krishan, K, Krishnamoorthy, V, Defo, B, Kuddus, M, Kumar, A, Kumar, G, Kumar, M, Kumar, N, Kumsa, N, Kundu, S, Kurniasari, M, Kusuma, D, Kuttikkattu, A, Kyu, H, La Vecchia, C, Ladan, M, Lahariya, C, Laksono, T, Lal, D, Lallukka, T, Lam, J, Lami, F, Landires, I, Langguth, B, Lasrado, S, Latief, K, Latifinaibin, K, Lau, K, Laurens, M, Lawal, B, Le, L, Le, T, Ledda, C, Lee, M, Lee, S, Lee, W, Lee, Y, Leonardi, M, Lerango, T, Li, M, Li, W, Ligade, V, Lim, S, Linehan, C, Liu, C, Liu, J, Liu, W, Lo, C, Lo, W, Lobo, S, Logroscino, G, Lopes, G, Lopukhov, P, Lorenzovici, L, Lorkowski, S, Loureiro, J, Lubinda, J, Lucchetti, G, Saute, R, Ma, Z, Mabrok, M, Machoy, M, Madadizadeh, F, El Razek, M, Maghazachi, A, Maghbouli, N, Mahjoub, S, Mahmoudi, M, Majeed, A, Malagon-Rojas, J, Malakan Rad, E, Malhotra, K, Malik, A, Malik, I, Mallhi, T, Malta, D, Manilal, A, Mansouri, V, Mansournia, M, Marasini, B, Marateb, H, Maroufi, S, Martinez-Raga, J, Martini, S, Martins-Melo, F, Martorell, M, Marz, W, Marzo, R, Massano, J, Mathangasinghe, Y, Mathews, E, Maude, R, Maugeri, A, Maulik, P, Mayeli, M, Mazaheri, M, Mcalinden, C, Mcgrath, J, Meena, J, Mehndiratta, M, Mendez-Lopez, M, Mendoza, W, Mendoza-Cano, O, Menezes, R, Merati, M, Meretoja, A, Merkin, A, Mersha, A, Mestrovic, T, Mi, T, Miazgowski, T, Michalek, I, Mihretie, E, Minh, L, Mirfakhraie, R, Mirica, A, Mirrakhimov, E, Mirzaei, M, Misganaw, A, Misra, S, Mithra, P, Mizana, B, Mohamadkhani, A, Mohamed, N, Mohammadi, E, Mohammadi, H, Mohammadi, S, Mohammadshahi, M, Mohammed, M, Mohammed, S, Mohan, S, Mojiri-Forushani, H, Moka, N, Mokdad, A, Molinaro, S, Moller, H, Monasta, L, Moniruzzaman, M, Montazeri, F, Moradi, M, Moradi, Y, Moradi-Lakeh, M, Moraga, P, Morovatdar, N, Morrison, S, Mosapour, A, Mosser, J, Mossialos, E, Motaghinejad, M, Mousavi, P, Ehsan Mousavi, S, Mubarik, S, Muccioli, L, Mughal, F, Mukoro, G, Mulita, A, Mulita, F, Musaigwa, F, Mustafa, A, Mustafa, G, Muthu, S, Nagarajan, A, Naghavi, P, Naik, G, Nainu, F, Nair, T, Najmuldeen, H, Nakhostin Ansari, N, Nambi, G, Namdar Areshtanab, H, Nargus, S, Nascimento, B, Naser, A, Nashwan, A, Nasoori, H, Nasreldein, A, Natto, Z, Nauman, J, Nayak, B, Nazri-Panjaki, A, Negaresh, M, Negash, H, Negoi, I, Negoi, R, Negru, S, Nejadghaderi, S, Nematollahi, M, Nesbit, O, Newton, C, Nguyen, D, Nguyen, H, Nguyen, N, Nguyen, P, Nguyen, V, Niazi, R, Nikolouzakis, T, Niranjan, V, Nnyanzi, L, Noman, E, Noroozi, N, Norrving, B, Noubiap, J, Nri-Ezedi, C, Ntaios, G, Nunez-Samudio, V, Nurrika, D, Oancea, B, Odetokun, I, O'Donnell, 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N., Mirfakhraie R., Mirica A., Mirrakhimov E. M., Mirzaei M., Misganaw A., Misra S., Mithra P., Mizana B. A., Mohamadkhani A., Mohamed N. S., Mohammadi E., Mohammadi H., Mohammadi S., Mohammadshahi M., Mohammed M., Mohammed S., Mohan S., Mojiri-Forushani H., Moka N., Mokdad A. H., Molinaro S., Moller H., Monasta L., Moniruzzaman M., Montazeri F., Moradi M., Moradi Y., Moradi-Lakeh M., Moraga P., Morovatdar N., Morrison S. D., Mosapour A., Mosser J. F., Mossialos E., Motaghinejad M., Mousavi P., Ehsan Mousavi S., Mubarik S., Muccioli L., Mughal F., Mukoro G. D., Mulita A., Mulita F., Musaigwa F., Mustafa A., Mustafa G., Muthu S., Nagarajan A. J., Naghavi P., Naik G. R., Nainu F., Nair T. S., Najmuldeen H. H. R., Nakhostin Ansari N., Nambi G., Namdar Areshtanab H., Nargus S., Nascimento B. R., Naser A. Y., Nashwan A. J. J., Nasoori H., Nasreldein A., Natto Z. S., Nauman J., Nayak B. P., Nazri-Panjaki A., Negaresh M., Negash H., Negoi I., Negoi R. I., Negru S. M., Nejadghaderi S. A., Nematollahi M. H., Nesbit O. D., Newton C. R. J., Nguyen D. H., Nguyen H. T. H., Nguyen H. Q., Nguyen N. -T. T., Nguyen P. T., Nguyen V. T., Niazi R. K., Nikolouzakis T. K., Niranjan V., Nnyanzi L. A., Noman E. A., Noroozi N., Norrving B., Noubiap J. J., Nri-Ezedi C. A., Ntaios G., Nunez-Samudio V., Nurrika D., Oancea B., Odetokun I. A., O'Donnell M. J., Ogunsakin R. E., Oguta J. O., Oh I. -H., Okati-Aliabad H., Okeke S. R., Okekunle A. P., Okonji O. C., Okwute P. G., Olagunju A. T., Olaiya M. T., Olana M. D., Olatubi M. I., Oliveira G. M. M., Olufadewa I. I., Olusanya B. O., Bali A. O., Ong S., Onwujekwe O. E., Ordak M., Orji A. U., Ortega-Altamirano D. V., Osuagwu U. L., Otstavnov N., Otstavnov S. S., Ouyahia A., Owolabi M. O., Mahesh Padukudru P. A., Pacheco-Barrios K., Padubidri J. R., Pal P. K., Palange P. N., Palladino C., Palladino R., Palma-Alvarez R. F., Pan F., Panagiotakos D., Panda-Jonas S., Pandey A., Pandian J. D., Pangaribuan H. U., Pantazopoulos I., Pardhan S., Parija P. P., Parikh R. R., Park S., Parthasarathi A., Pashaei A., Patel J., Patil S., Patoulias D., Pawar S., Pedersini P., Pensato U., Pereira D. M., Pereira J., Pereira M. O., Peres M. F. P., Perico N., Perna S., Petcu I. -R., Petermann-Rocha F. E., Pham H. T., Phillips M. R., Pinilla-Monsalve G. D., Piradov M. A., Plotnikov E., Poddighe D., Polat B., Poluru R., Pond C. D., Poudel G. R., Pouramini A., Pourbagher-Shahri A. M., Pourfridoni M., Pourtaheri N., Prakash P. Y., Prakash S., Prakash V., Prates E. J. S., Pritchett N., Purnobasuki H., Qasim N. H., Qattea I., Qian G., Radhakrishnan V., Raee P., Shahraki H. R., Rafique I., Raggi A., Raghav P. R., Rahati M. M., Rahim F., Rahimi Z., Rahimifard M., Rahman M. O., Rahman M. H. U., Rahman M., Rahman M. A., Rahmani A. M., Rahmani S., Youshanlouei H. R., Rahmati M., Raj Moolambally S., Rajabpour-Sanati A., Ramadan H., Ramasamy S. K., Ramasubramani P., Ramazanu S., Rancic N., Rao I. R., Rao S. J., Rapaka D., Rashedi V., Rashid A. M., Rashidi M. -M., Rashidi Alavijeh M., Rasouli-Saravani A., Rawaf S., Razo C., Redwan E. M. M., Bana A. R., Remuzzi G., Rezaei N., Rezaeian M., Rhee T. G., Riad A., Robinson S. R., Rodrigues M., Rodriguez J. A. B., Roever L., Rogowski E. L. B., Romoli M., Ronfani L., Roy P., Pramanik K. R., Rubagotti E., Ruiz M. A., Russ T. C., Sunnerhagen K. S., Saad A. M. A., Saadatian Z., Saber K., SaberiKamarposhti M., Sacco S., Saddik B., Sadeghi E., Sadeghian S., Saeed U., Safdarian M., Safi S. Z., Sagar R., Sagoe D., Saheb Sharif-Askari F. S., Saheb Sharif-Askari N., Sahebkar A., Sahoo S. S., Sahraian M. A., Sajedi S. A., Sakshaug J. W., Saleh M. A., Salehi Omran H., Salem M. R., Salimi S., Samadi Kafil H., Samadzadeh S., Samargandy S., Samodra Y. L., Samuel V. P., Samy A. M., Sanadgol N., Sanjeev R. K., Sanmarchi F., Santomauro D. F., Santri I. N., Santric-Milicevic M. M., Saravanan A., Sarveazad A., Satpathy M., Saylan M., Sayyah M., Scarmeas N., Schlaich M. P., Schuermans A., Schwarzinger M., Schwebel D. C., Selvaraj S., Sendekie A. K., Sengupta P., Senthilkumaran S., Serban D., Sergindo M. T., Sethi Y., SeyedAlinaghi S., Seylani A., Shabani M., Shabany M., Shafie M., Shahabi S., Shahbandi A., Shahid S., Shahraki-Sanavi F., Shahsavari H. R., Shahwan M. J., Shaikh M. A., Shaji K. S., Sham S., Shama A. T. T., Shamim M. A., Shams-Beyranvand M., Shamsi M. A., Shanawaz M., Sharath M., Sharfaei S., Sharifan A., Sharma M., Sharma R., Shashamo B. B., Shayan M., Sheikhi R. A., Shekhar S., Shen J., Shenoy S. M., Shetty P. H., Shiferaw D. S., Shigematsu M., Shiri R., Shittu A., Shivakumar K. M., Shokri F., Shool S., Shorofi S. A., Shrestha S., Siankam Tankwanchi A. B., Siddig E. E., Sigfusdottir I. D., Silva J. P., Silva L. M. L. R., Sinaei E., Singh B. B., Singh G., Singh P., Singh S., Sirota S. B., Sivakumar S., Sohag A. A. M., Solanki R., Soleimani H., Solikhah S., Solomon Y., Song S., Song Y., Sotoudeh H., Spartalis M., Stark B. A., Starnes J. R., Starodubova A. V., Stein D. J., Steiner T. J., Stovner L. J., Suleman M., Abdulkader R. S., Sultana A., Sun J., Sunkersing D., Sunny A., Susianti H., Swain C. K., Szeto M. D., Tabares-Seisdedos R., Tabatabaei S. M., Tabatabai S., Tabish M., Taheri M., Tahvildari A., Tajbakhsh A., Tampa M., Lukenze Tamuzi J. J. L., Tan K. -K., Tang H., Tareke M., Tarigan I. U., Tat N. Y., Tat V. Y., Tavakoli Oliaee R., Tavangar S. M., Tavasol A., Tefera Y. M., Tehrani-Banihashemi A., Temesgen W. A., Temsah M. -H., Teramoto M., Tesfaye A. H., Tesfaye E. G., Tesler R., Thakali O., Thangaraju P., Thapa R., Thapar R., Thomas N. K., Thrift A. G., Ticoalu J. H. V., Tillawi T., Toghroli R., Tonelli M., Tovani-Palone M. R., Traini E., Tran N. M., Tran N. -H., Van Tran P., Tromans S. J., Truelsen T. C., Truyen T. T. T. T., Tsatsakis A., Tsegay G. M., Tsermpini E. E., Tualeka A. R., Tufa D. G., Ubah C. S., Udoakang A. J., Ulhaq I., Umair M., Umakanthan S., Umapathi K. K., Unim B., Unnikrishnan B., Vaithinathan A. G., Vakilian A., Tahbaz S. V., Valizadeh R., Van den Eynde J., Vart P., Varthya S. B., Vasankari T. J., Vaziri S., Vellingiri B., Venketasubramanian N., Verras G. -I., Vervoort D., Villafane J. H., Villani L., Veloz A. F. V., Viskadourou M., Vladimirov S. K., Vlassov V., Volovat S. R., Vu L. T., Vujcic I. S., Wagaye B., Waheed Y., Wahood W., Walde M. T., Wang F., Wang S., Wang Y., Wang Y. -P., Waqas M., Waris A., Weerakoon K. G., Weintraub R. G., Weldemariam A. H., Westerman R., Whisnant J. L., Wickramasinghe D. P., Wickramasinghe N. D., Willekens B., Wilner L. B., Winkler A. S., Wolfe C. D. A., Wu A. -M., Wulf Hanson S., Xu S., Xu X., Yadollahpour A., Yaghoubi S., Yahya G., Yamagishi K., Yang L., Yano Y., Yao Y., Yehualashet S. S., Yeshaneh A., Yesiltepe M., Yi S., Yigit A., Yigit V., Yon D. K., Yonemoto N., You Y., Younis M. Z., Yu C., Yusuf H., Zadey S., Zahedi M., Zakham F., Zaki N., Zali A., Zamagni G., Zand R., Zandieh G. G. Z., Zangiabadian M., Zarghami A., Zastrozhin M. S., Zeariya M. G. M., Zegeye Z. B., Zeukeng F., Zhai C., Zhang C., Zhang H., Zhang Y., Zhang Z. -J., Zhao H., Zhao Y., Zheng P., Zhou H., Zhu B., Zhumagaliuly A., Zielinska M., Zikarg Y. T., Zoladl M., Murray C. J. L., Ong K. L., Feigin V. L., Vos T., and Dua T.

Abstract

Background: Disorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by the International Classification of Diseases (ICD)-11, or a subset of cases of congenital, neonatal, and infectious conditions that cause neurological damage. Here, we estimate nervous system health loss caused by 37 unique conditions and their associated risk factors globally, regionally, and nationally from 1990 to 2021. Methods: We estimated mortality, prevalence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs), with corresponding 95% uncertainty intervals (UIs), by age and sex in 204 countries and territories, from 1990 to 2021. We included morbidity and deaths due to neurological conditions, for which health loss is directly due to damage to the CNS or peripheral nervous system. We also isolated neurological health loss from conditions for which nervous system morbidity is a consequence, but not the primary feature, including a subset of congenital conditions (ie, chromosomal anomalies and congenital birth defects), neonatal conditions (ie, jaundice, preterm birth, and sepsis), infectious diseases (ie, COVID-19, cystic echinococcosis, malaria, syphilis, and Zika virus disease), and diabetic neuropathy. By conducting a sequela-level analysis of the health outcomes for these conditions, only cases where nervous system damage occurred were included, and YLDs were recalculated to isolate the non-fatal burden directly attributable to nervous system health loss. A comorbidity correction was used to calculate total prevalence of all conditions that affect the nervous s

Published
2024

26. Sequence Analysis, Antibiogram Profile, Virulence and Antibiotic Resistance Genes of XDR and MDR Gallibacterium anatis Isolated from Layer Chickens in Egypt

Author

Algammal AM, Abo Hashem ME, Alfifi KJ, Al-otaibi AS, Alatawy M, ElTarabili RM, Abd El-Ghany WA, Hetta HF, Hamouda AM, Elewa AA, and Azab MM

Subjects
g. anatis, poultry, antibiogram, xdr, sequence analyses, virulence genes, antibiotic resistance genes, Infectious and parasitic diseases, RC109-216
Abstract

Abelazeem M Algammal,1 Marwa E Abo Hashem,1 Khyreyah J Alfifi,2 Amenah S Al-otaibi,2 Marfat Alatawy,2 Reham M ElTarabili,1 Wafaa A Abd El-Ghany,3 Helal F Hetta,4 Ahmed M Hamouda,5 Amira A Elewa,5 Marwa M Azab6 1Department of Bacteriology, Immunology, and Mycology, Faculty of Veterinary Medicine, Suez Canal University, Ismailia, Egypt; 2Biology Department, Faculty of Science, Tabuk University, Tabuk, Saudi Arabia; 3Poultry Diseases Department, Faculty of Veterinary Medicine, Cairo University, Giza, Egypt; 4Department of Medical Microbiology and Immunology, Faculty of Medicine, Assiut University, Assiut, Egypt; 5Animal Health Research Institute, Zagazig Branch, Zagazig, Egypt; 6Department of Microbiology and Immunology, Faculty of Pharmacy, Suez Canal University, Ismailia, EgyptCorrespondence: Abelazeem M Algammal, Department of Bacteriology, Immunology and Mycology, Faculty of Veterinary Medicine, Suez Canal University, Ismailia, Egypt, Email abdelazeem.algammal@vet.suez.edu.egBackground: Gallibacterium anatis is incriminated frequently in severe economic losses and mortalities in the poultry industry. This study aimed to detect the prevalence of G. anatis in layer chickens, sequence analysis, the antibiogram profiles, and PCR screening of virulence determinants and antibiotic resistance genes.Methods: Accordingly, 300 samples (tracheal swabs, ovary and oviduct, and lung) were randomly collected from 100 diseased layer chickens from private commercial layer farms at Elsharkia Governorate, Egypt. The bacteriological examination was carried out. The retrieved isolates were tested for 16S rRNA-23S rRNA gene sequencing, antibiogram profiling, PCR screening of virulence (gtxA, fifA, and gyrB), and antibiotic resistance genes (blaROB, aphA1, tetB, and tetH).Results: The prevalence of G. anatis was 25% in the examined diseased layer chickens. The sequence analyses emphasized that the tested strains derived from a common ancestor and exhibited a notable genetic similarity with other G. anatis strains from USA, China, and Denmark. The isolated G. anatis strains were highly resistant to sulfamethoxazole-trimethoprim, oxytetracycline, penicillin, ampicillin, kanamycin, neomycin, and erythromycin. The PCR revealed that the retrieved G. anatis strains carried gtxA, gyrB, and fifA virulence genes with a prevalence of 100%, 100%, and 38.3%, respectively. Approximately 30.1% of the retrieved G. anatis isolates were XDR to six antimicrobial classes and harbored blaROB, aphA1, and tetB resistance genes. Moreover, 20.5% of the isolated G. anatis strains were MDR to three different classes and carried blaROB and tetH resistance genes.Conclusion: Briefly, this study emphasized the existence of XDR and MDR G. anatis strains in poultry. Florfenicol and norfloxacin displayed a promising antimicrobial effect against the emerging XDR and MDR G. anatis in poultry. The emergence of XDR and MDR G. anatis is considered a public health alarm.Graphical Abstract: Keywords: G. anatis, poultry, antibiogram, XDR, sequence analyses, virulence genes, antibiotic resistance genes

Published
2022

27. COVID-19 associated mucormycosis in Assiut University Hospitals: a multidisciplinary dilemma

Author

Sahar Farghly Youssif, Marwa M. Abdelrady, Ahmed Atef Thabet, Mohamed A. Abdelhamed, Mohamed Omar A. Gad, Ahmed Mohmmed Abu-Elfatth, Ghada Mohamed Saied, Islam Goda, Abdelazeem M. Algammal, Gaber El-Saber Batiha, Nessren M. Abd el-Rady, Helal F. Hetta, and Soheir M. Kasem

Subjects
Medicine, Science
Abstract

Abstract Mucormycosis is a life-threatening opportunistic angioinvasive fungal infection. We aimed to describe the frequency, presentations, predictors, and in-hospital outcome of mucormycosis patients in the scope of CoronaVirusDisease-19 (COVID-19) during the third viral pandemic wave. This cross-sectional retrospective study included all patients who fulfilled the criteria of mucormycosis with concurrent confirmed covid19 infection admitted to Assuit University Hospital between March 2021 and July 2021. Overall, 433 patients with definite covid-19 infection, of which 33 (7.63%) participants were infected with mucormycosis. Mucormycosis was predominantly seen in males (21 vs. 12; p = 0.01). Diabetes mellitus (35% vs. 63.6%; p

Published
2022
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28. Age–sex differences in the global burden of lower respiratory infections and risk factors, 1990–2019: results from the Global Burden of Disease Study 2019

Author

Kyu, Hmwe Hmwe, Vongpradith, Avina, Sirota, Sarah Brooke, Novotney, Amanda, Troeger, Christopher E, Doxey, Matthew C, Bender, Rose G, Ledesma, Jorge R, Biehl, Molly H, Albertson, Samuel B, Frostad, Joseph Jon, Burkart, Katrin, Bennitt, Fiona B, Zhao, Jeff T, Gardner, William M, Hagins, Hailey, Bryazka, Dana, Dominguez, Regina-Mae Villanueva, Abate, Semagn Mekonnen, Abdelmasseh, Michael, Abdoli, Amir, Abdoli, Gholamreza, Abedi, Aidin, Abedi, Vida, Abegaz, Tadesse M, Abidi, Hassan, Aboagye, Richard Gyan, Abolhassani, Hassan, Abtew, Yonas Derso, Abubaker Ali, Hiwa, Abu-Gharbieh, Eman, Abu-Zaid, Ahmed, Adamu, Kidist, Addo, Isaac Yeboah, Adegboye, Oyelola A, Adnan, Mohammad, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Muhammad Sohail, Afzal, Saira, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Araz Ramazan, Ahmad, Sajjad, Ahmadi, Ali, Ahmadi, Sepideh, Ahmed, Haroon, Ahmed, Jivan Qasim, Ahmed Rashid, Tarik, Akbarzadeh-Khiavi, Mostafa, Al Hamad, Hanadi, Albano, Luciana, Aldeyab, Mamoon A, Alemu, Bezatu Mengistie, Alene, Kefyalew Addis, Algammal, Abdelazeem M, Alhalaiqa, Fadwa Alhalaiqa Naji, Alhassan, Robert Kaba, Ali, Beriwan Abdulqadir, Ali, Liaqat, Ali, Musa Mohammed, Ali, Syed Shujait, Alimohamadi, Yousef, Alipour, Vahid, Al-Jumaily, Adel, Aljunid, Syed Mohamed, Almustanyir, Sami, Al-Raddadi, Rajaa M, Al-Rifai, Rami H Hani, AlRyalat, Saif Aldeen S, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson J, Ameyaw, Edward Kwabena, Aminian Dehkordi, Javad Javad, Amuasi, John H, Amugsi, Dickson A, Anbesu, Etsay Woldu, Ansar, Adnan, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Areda, Demelash, Argaw, Ayele Mamo, Argaw, Zeleke Gebru, Arulappan, Judie, Aruleba, Raphael Taiwo, Asemahagn, Mulusew A, Athari, Seyyed Shamsadin, Atlaw, Daniel, Attia, Engi F, Attia, Sameh, Aujayeb, Avinash, Awoke, Tewachew, Ayana, Tegegn Mulatu, Ayanore, Martin Amogre, Azadnajafabad, Sina, Azangou-Khyavy, Mohammadreza, Azari, Samad, Azari Jafari, Amirhossein, Badar, Muhammad, Badiye, Ashish D, Baghcheghi, Nayereh, Bagherieh, Sara, Baig, Atif Amin, Banach, Maciej, Banerjee, Indrajit, Bardhan, Mainak, Barone-Adesi, Francesco, Barqawi, Hiba Jawdat, Barrow, Amadou, Bashiri, Azadeh, Bassat, Quique, Batiha, Abdul-Monim Mohammad, Belachew, Abate Bekele, Belete, Melaku Ashagrie, Belgaumi, Uzma Iqbal, Bhagavathula, Akshaya Srikanth, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhatt, Parth, Bhojaraja, Vijayalakshmi S, Bhutta, Zulfiqar A, Bhuyan, Soumitra S, Bijani, Ali, Bitaraf, Saeid, Bodicha, Belay Boda Abule, Briko, Nikolay Ivanovich, Buonsenso, Danilo, Butt, Muhammad Hammad, Cai, Jiao, Camargos, Paulo, Cámera, Luis Alberto, Chakraborty, Promit Ananyo, Chanie, Muluken Genetu, Charan, Jaykaran, Chattu, Vijay Kumar, Ching, Patrick R, Choi, Sungchul, Chong, Yuen Yu, Choudhari, Sonali Gajanan, Chowdhury, Enayet Karim, Christopher, Devasahayam J, Chu, Dinh-Toi, Cobb, Natalie L, Cohen, Aaron J, Cruz-Martins, Natália, Dadras, Omid, Dagnaw, Fentaw Teshome, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, Dao, An Thi Minh, Debela, Sisay Abebe, Demisse, Biniyam, Demisse, Fitsum Wolde, Demissie, Solomon, Dereje, Diriba, Desai, Hardik Dineshbhai, Desta, Abebaw Alemayehu, Desye, Belay, Dhingra, Sameer, Diao, Nancy, Diaz, Daniel, Digesa, Lankamo Ena, Doan, Linh Phuong, Dodangeh, Milad, Dongarwar, Deepa, Dorostkar, Fariba, dos Santos, Wendel Mombaque, Dsouza, Haneil Larson, Dubljanin, Eleonora, Durojaiye, Oyewole Christopher, Edinur, Hisham Atan, Ehsani-Chimeh, Elham, Eini, Ebrahim, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, El Desouky, Eman D, El Sayed, Iman, El Sayed Zaki, Maysaa, Elhadi, Muhammed, Elkhapery, Ahmed Mahmoud Rabie, Emami, Amir, Engelbert Bain, Luchuo, Erkhembayar, Ryenchindorj, Etaee, Farshid, Ezati Asar, Mohamad, Fagbamigbe, Adeniyi Francis, Falahi, Shahab, Fallahzadeh, Aida, Faraj, Anwar, Faraon, Emerito Jose A, Fatehizadeh, Ali, Ferrara, Pietro, Ferrari, Allegra Allegra, Fetensa, Getahun, Fischer, Florian, Flavel, Joanne, Foroutan, Masoud, Gaal, Peter Andras, Gaidhane, Abhay Motiramji, Gaihre, Santosh, Galehdar, Nasrin, Garcia-Basteiro, Alberto L, Garg, Tushar, Gebrehiwot, Mesfin Damtew, Gebremichael, Mathewos Alemu, Gela, Yibeltal Yismaw, Gemeda, Belete Negese Belete, Gessner, Bradford D, Getachew, Melaku, Getie, Asmare, Ghamari, Seyyed-Hadi, Ghasemi Nour, Mohammad, Ghashghaee, Ahmad, Gholamrezanezhad, Ali, Gholizadeh, Abdolmajid, Ghosh, Rakesh, Ghozy, Sherief, Goleij, Pouya, Golitaleb, Mohamad, Gorini, Giuseppe, Goulart, Alessandra C, Goyomsa, Girma Garedew, Guadie, Habtamu Alganeh, Gudisa, Zewdie, Guled, Rashid Abdi, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Guta, Alemu, Habibzadeh, Parham, Haj-Mirzaian, Arvin, Halwani, Rabih, Hamidi, Samer, Hannan, Md Abdul, Harorani, Mehdi, Hasaballah, Ahmed I, Hasani, Hamidreza, Hassan, Abbas M, Hassani, Shokoufeh, Hassanian-Moghaddam, Hossein, Hassankhani, Hadi, Hayat, Khezar, Heibati, Behzad, Heidari, Mohammad, Heyi, Demisu Zenbaba, Hezam, Kamal, Holla, Ramesh, Hong, Sung Hwi, Horita, Nobuyuki, Hosseini, Mohammad-Salar, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Househ, Mowafa, Hoveidamanesh, Soodabeh, Huang, Junjie, Hussein, Nawfal R, Iavicoli, Ivo, Ibitoye, Segun Emmanuel, Ikuta, Kevin S, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Immurana, Mustapha, Ismail, Nahlah Elkudssiah, Iwagami, Masao, Jaafari, Jalil, Jamshidi, Elham, Jang, Sung-In, Javadi Mamaghani, Amirreza, Javaheri, Tahereh, Javanmardi, Fatemeh, Javidnia, Javad, Jayapal, Sathish Kumar, Jayarajah, Umesh, Jayaram, Shubha, Jema, Alelign Tasew, Jeong, Wonjeong, Jonas, Jost B, Joseph, Nitin, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, K, Vaishali, Kabir, Zubair, Kacimi, Salah Eddine Oussama, Kadashetti, Vidya, Kalankesh, Laleh R, Kalhor, Rohollah, Kamath, Ashwin, Kamble, Bhushan Dattatray, Kandel, Himal, Kanko, Tesfaye K, Karaye, Ibraheem M, Karch, André, Karkhah, Samad, Kassa, Bekalu Getnet, Katoto, Patrick DMC, Kaur, Harkiran, Kaur, Rimple Jeet, Keikavoosi-Arani, Leila, Keykhaei, Mohammad, Khader, Yousef Saleh, Khajuria, Himanshu, Khan, Ejaz Ahmad, Khan, Gulfaraz, Khan, Imteyaz A, Khan, Maseer, Khan, Md Nuruzzaman, Khan, Moien AB, Khan, Yusra H, Khatatbeh, Moawiah Mohammad, Khosravifar, Mina, Khubchandani, Jagdish, Kim, Min Seo, Kimokoti, Ruth W, Kisa, Adnan, Kisa, Sezer, Kissoon, Niranjan, Knibbs, Luke D, Kochhar, Sonali, Kompani, Farzad, Koohestani, Hamid Reza, Korshunov, Vladimir Andreevich, Kosen, Soewarta, Koul, Parvaiz A, Koyanagi, Ai, Krishan, Kewal, Kuate Defo, Barthelemy, Kumar, G Anil, Kurmi, Om P, Kuttikkattu, Ambily, Lal, Dharmesh Kumar, Lám, Judit, Landires, Iván, Ledda, Caterina, Lee, Sang-woong, Levi, Miriam, Lewycka, Sonia, Liu, Gang, Liu, Wei, Lodha, Rakesh, Lorenzovici, László, Lotfi, Mojgan, Loureiro, Joana A, Madadizadeh, Farzan, Mahmoodpoor, Ata, Mahmoudi, Razzagh, Mahmoudimanesh, Marzieh, Majidpoor, Jamal, Makki, Alaa, Malakan Rad, Elaheh, Malik, Ahmad Azam, Mallhi, Tauqeer Hussain, Manla, Yosef, Matei, Clara N, Mathioudakis, Alexander G, Maude, Richard James, Mehrabi Nasab, Entezar, Melese, Addisu, Memish, Ziad A, Mendoza-Cano, Oliver, Mentis, Alexios-Fotios A, Meretoja, Tuomo J, Merid, Mehari Woldemariam, Mestrovic, Tomislav, Micheletti Gomide Nogueira de Sá, Ana Carolina, Mijena, Gelana Fekadu Worku, Minh, Le Huu Nhat, Mir, Shabir Ahmad, Mirfakhraie, Reza, Mirmoeeni, Seyyedmohammadsadeq, Mirza, Agha Zeeshan, Mirza, Moonis, Mirza-Aghazadeh-Attari, Mohammad, Misganaw, Abay Sisay, Misganaw, Awoke Temesgen, Mohammadi, Esmaeil, Mohammadi, Mokhtar, Mohammed, Arif, Mohammed, Shafiu, Mohan, Syam, Mohseni, Mohammad, Moka, Nagabhishek, Mokdad, Ali H, Momtazmanesh, Sara, Monasta, Lorenzo, Moniruzzaman, Md, Montazeri, Fateme, Moore, Catrin E, Moradi, Abdolvahab, Morawska, Lidia, Mosser, Jonathan F, Mostafavi, Ebrahim, Motaghinejad, Majid, Mousavi Isfahani, Haleh, Mousavi-Aghdas, Seyed Ali, Mubarik, Sumaira, Murillo-Zamora, Efrén, Mustafa, Ghulam, Nair, Sanjeev, Nair, Tapas Sadasivan, Najafi, Houshang, Naqvi, Atta Abbas, Narasimha Swamy, Sreenivas, Natto, Zuhair S, Nayak, Biswa Prakash, Nejadghaderi, Seyed Aria, Nguyen, Huy Van Nguyen, Niazi, Robina Khan, Nogueira de Sá, Antonio Tolentino, Nouraei, Hasti, Nowroozi, Ali, Nuñez-Samudio, Virginia, Nzoputam, Chimezie Igwegbe, Nzoputam, Ogochukwu Janet, Oancea, Bogdan, Ochir, Chimedsuren, Odukoya, Oluwakemi Ololade, Okati-Aliabad, Hassan, Okekunle, Akinkunmi Paul, Okonji, Osaretin Christabel, Olagunju, Andrew T, Olufadewa, Isaac Iyinoluwa, Omar Bali, Ahmed, Omer, Emad, Oren, Eyal, Ota, Erika, Otstavnov, Nikita, Oulhaj, Abderrahim, P A, Mahesh, Padubidri, Jagadish Rao, Pakshir, Keyvan, Pakzad, Reza, Palicz, Tamás, Pandey, Anamika, Pant, Suman, Pardhan, Shahina, Park, Eun-Cheol, Park, Eun-Kee, Pashazadeh Kan, Fatemeh, Paudel, Rajan, Pawar, Shrikant, Peng, Minjin, Pereira, Gavin, Perna, Simone, Perumalsamy, Navaraj, Petcu, Ionela-Roxana, Pigott, David M, Piracha, Zahra Zahid, Podder, Vivek, Polibin, Roman V, Postma, Maarten J, Pourasghari, Hamid, Pourtaheri, Naeimeh, Qadir, Mirza Muhammad Fahd, Raad, Mathieu, Rabiee, Mohammad, Rabiee, Navid, Raeghi, Saber, Rafiei, Alireza, Rahim, Fakher, Rahimi, Mehran, Rahimi-Movaghar, Vafa, Rahman, Azizur, Rahman, Md Obaidur, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmani, Amir Masoud, Rahmanian, Vahid, Ram, Pradhum, Ramezanzadeh, Kiana, Rana, Juwel, Ranasinghe, Priyanga, Rani, Usha, Rao, Sowmya J, Rashedi, Sina, Rashidi, Mohammad-Mahdi, Rasul, Azad, Ratan, Zubair Ahmed, Rawaf, David Laith, Rawaf, Salman, Rawassizadeh, Reza, Razeghinia, Mohammad Sadegh, Redwan, Elrashdy Moustafa Mohamed, Reitsma, Marissa B, Renzaho, Andre M N, Rezaeian, Mohsen, Riad, Abanoub, Rikhtegar, Reza, Rodriguez, Jefferson Antonio Buendia, Rogowski, Emma L B, Ronfani, Luca, Rudd, Kristina E, Saddik, Basema, Sadeghi, Erfan, Saeed, Umar, Safary, Azam, Safi, Sher Zaman, Sahebazzamani, Maryam, Sahebkar, Amirhossein, Sakhamuri, Sateesh, Salehi, Sana, Salman, Muhammad, Samadi Kafil, Hossein, Samy, Abdallah M, Santric-Milicevic, Milena M, Sao Jose, Bruno Piassi, Sarkhosh, Maryam, Sathian, Brijesh, Sawhney, Monika, Saya, Ganesh Kumar, Seidu, Abdul-Aziz, Seylani, Allen, Shaheen, Amira A, Shaikh, Masood Ali, Shaker, Elaheh, Shamshad, Hina, Sharew, Mequannent Melaku, Sharhani, Asaad, Sharifi, Azam, Sharma, Purva, Sheidaei, Ali, Shenoy, Suchitra M, Shetty, Jeevan K, Shiferaw, Damtew Solomon, Shigematsu, Mika, Shin, Jae Il, Shirzad-Aski, Hesamaddin, Shivakumar, K M, Shivalli, Siddharudha, Shobeiri, Parnian, Simegn, Wudneh, Simpson, Colin R, Singh, Harpreet, Singh, Jasvinder A, Singh, Paramdeep, Siwal, Samarjeet Singh, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Soltani-Zangbar, Mohammad Sadegh, Song, Suhang, Song, Yimeng, Sood, Prashant, Sreeramareddy, Chandrashekhar T, Steiropoulos, Paschalis, Suleman, Muhammad, Tabatabaeizadeh, Seyed-Amir, Tahamtan, Alireza, Taheri, Majid, Taheri Soodejani, Moslem, Taki, Elahe, Talaat, Iman M, Tampa, Mircea, Tandukar, Sarmila, Tat, Nathan Y, Tat, Vivian Y, Tefera, Yibekal Manaye, Temesgen, Gebremaryam, Temsah, Mohamad-Hani, Tesfaye, Azene, Tesfaye, Degefa Gomora, Tessema, Belay, Thapar, Rekha, Ticoalu, Jansje Henny Vera, Tiyuri, Amir, Tleyjeh, Imad I, Togtmol, Munkhsaikhan, Tovani-Palone, Marcos Roberto, Tufa, Derara Girma, Ullah, Irfan, Upadhyay, Era, Valadan Tahbaz, Sahel, Valdez, Pascual R, Valizadeh, Rohollah, Vardavas, Constantine, Vasankari, Tommi Juhani, Vo, Bay, Vu, Linh Gia, Wagaye, Birhanu, Waheed, Yasir, Wang, Yu, Waris, Abdul, West, T Eoin, Wickramasinghe, Nuwan Darshana, Xu, Xiaoyue, Yaghoubi, Sajad, Yahya, Gahin Abdulraheem Tayib, Yahyazadeh Jabbari, Seyed Hossein, Yon, Dong Keon, Yonemoto, Naohiro, Zaman, Burhan Abdullah, Zandifar, Alireza, Zangiabadian, Moein, Zar, Heather J, Zare, Iman, Zareshahrabadi, Zahra, Zarrintan, Armin, Zastrozhin, Mikhail Sergeevich, Zeng, Wu, Zhang, Mengxi, Zhang, Zhi-Jiang, Zhong, Chenwen, Zoladl, Mohammad, Zumla, Alimuddin, Lim, Stephen S, Vos, Theo, Naghavi, Mohsen, Brauer, Michael, Hay, Simon I, and Murray, Christopher J L

Published
2022
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29. Whole-genome sequencing of Listeria innocua recovered from retail milk and dairy products in Egypt

Author

Hazem Ramadan, Maha Al-Ashmawy, Ahmed M. Soliman, Mohammed Elbediwi, Islam Sabeq, Mona Yousef, Abdelazeem M. Algammal, Lari M. Hiott, Mark E. Berrang, Jonathan G. Frye, and Charlene R. Jackson

Subjects
Listeria innocua, whole-genome sequencing, genetic context, clpL gene, phylogenetic analysis, milk, Microbiology, QR1-502
Abstract

The similarity of the Listeria innocua genome with Listeria monocytogenes and their presence in the same niche may facilitate gene transfer between them. A better understanding of the mechanisms responsible for bacterial virulence requires an in-depth knowledge of the genetic characteristics of these bacteria. In this context, draft whole genome sequences were completed on five L. innocua isolated from milk and dairy products in Egypt. The assembled sequences were screened for antimicrobial resistance and virulence genes, plasmid replicons and multilocus sequence types (MLST); phylogenetic analysis of the sequenced isolates was also performed. The sequencing results revealed the presence of only one antimicrobial resistance gene, fosX, in the L. innocua isolates. However, the five isolates carried 13 virulence genes involved in adhesion, invasion, surface protein anchoring, peptidoglycan degradation, intracellular survival, and heat stress; all five lacked the Listeria Pathogenicity Island 1 (LIPI-1) genes. MLST assigned these five isolates into the same sequence type (ST), ST-1085; however, single nucleotide polymorphism (SNP)-based phylogenetic analysis revealed 422–1,091 SNP differences between our isolates and global lineages of L. innocua. The five isolates possessed an ATP-dependent protease (clpL) gene, which mediates heat resistance, on a rep25 type plasmids. Blast analysis of clpL-carrying plasmid contigs showed approximately 99% sequence similarity to the corresponding parts of plasmids of L. monocytogenes strains 2015TE24968 and N1-011A previously isolated from Italy and the United States, respectively. Although this plasmid has been linked to L. monocytogenes that was responsible for a serious outbreak, this is the first report of L. innocua containing clpL-carrying plasmids. Various genetic mechanisms of virulence transfer among Listeria species and other genera could raise the possibility of the evolution of virulent strains of L. innocua. Such strains could challenge processing and preservation protocols and pose health risks from dairy products. Ongoing genomic research is necessary to identify these alarming genetic changes and develop preventive and control measures.

Published
2023
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30. T cell subsets, regulatory T, regulatory B cells and proinflammatory cytokine profile in Schistosoma haematobium associated bladder cancer: First report from Upper Egypt.

Author

Sara Abdelal Mohammed, Helal F Hetta, Asmaa M Zahran, Mohammed E M Tolba, Rasha A H Attia, Hosny M Behnsawy, Abdelazeem M Algammal, Gaber El-Saber Batiha, Ahmed Qasem Mohammed, and Alzahraa Abdelraouf Ahmad

Subjects
Arctic medicine. Tropical medicine, RC955-962, Public aspects of medicine, RA1-1270
Abstract

BackgroundThe function of different populations of the immune system in bladder cancer (BCa) is well established. However, the cohesive role of the immune cell profile of schistosomal BCa at systemic and tissue levels is still lacking, especially in endemic countries. The balance hypothesized between protumorigenic and antitumor molecules determines the prognosis of tumor progression. This study aimed to investigate the frequency of T cell subsets at both blood and tumor tissue, regulatory T(Treg), regulatory B cells (Breg) and proinflammatory cytokines in S. haematobium-related BCa patients in Egypt.Methodology/principal findingsThe frequency of T cell subsets at both blood and tumor tissue, regulatory T(Treg), regulatory B cells (Breg) were studied by flow cytometry and proinflammatory cytokines by ELISA in S. haematobium-related BCa patients in Egypt. The results indicated a significant increase in the activity of T-cell populations, particularly CD3+, CD4+, and regulatory T cells (Tregs), and a decrease in cytotoxic CD8+ T cells in the patient group. An increased proportion of CD19+CD24+CD38+ Bregs and proinflammatory cytokines (IL-1β, IL-6, and TNF-α) was also observed. However, T-cell subpopulations in the tumor microenvironment showed a significant reduction in cancer patients compared to controls. Moreover, positive correlations were observed between the frequencies of Bregs and Tregs, suggesting the promotion of cancer progression besides their relation to the intensity of schistosomal infection.Conclusions/significanceTrapped Schistosoma haematobium eggs in bladder tissue might lead to persistent inflammation that contributes to immunomodulation and promotes tumor progression, as evidenced by the increase in peripheral T helper, Tregs, Bregs and serum tumor-promoting cytokines. Considering the role and integrated functions of specific immune responses in BCa could help future diagnostic and therapeutic implications.

Published
2023
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31. The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019

Author

Tran, Khanh Bao, Lang, Justin J, Compton, Kelly, Xu, Rixing, Acheson, Alistair R, Henrikson, Hannah Jacqueline, Kocarnik, Jonathan M, Penberthy, Louise, Aali, Amirali, Abbas, Qamar, Abbasi, Behzad, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abbastabar, Hedayat, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdelwahab, Ahmed Abdelwahab, Abdoli, Gholamreza, Abdulkadir, Hanan Abdulkadir, Abedi, Aidin, Abegaz, Kedir Hussein, Abidi, Hassan, Aboagye, Richard Gyan, Abolhassani, Hassan, Absalan, Abdorrahim, Abtew, Yonas Derso, Abubaker Ali, Hiwa, Abu-Gharbieh, Eman, Achappa, Basavaprabhu, Acuna, Juan Manuel, Addison, Daniel, Addo, Isaac Yeboah, Adegboye, Oyelola A, Adesina, Miracle Ayomikun, Adnan, Mohammad, Adnani, Qorinah Estiningtyas Sakilah, Advani, Shailesh M, Afrin, Sumia, Afzal, Muhammad Sohail, Aggarwal, Manik, Ahinkorah, Bright Opoku, Ahmad, Araz Ramazan, Ahmad, Rizwan, Ahmad, Sajjad, Ahmad, Sohail, Ahmadi, Sepideh, Ahmed, Haroon, Ahmed, Luai A, Ahmed, Muktar Beshir, Ahmed Rashid, Tarik, Aiman, Wajeeha, Ajami, Marjan, Akalu, Gizachew Taddesse, Akbarzadeh-Khiavi, Mostafa, Aklilu, Addis, Akonde, Maxwell, Akunna, Chisom Joyqueenet, Al Hamad, Hanadi, Alahdab, Fares, Alanezi, Fahad Mashhour, Alanzi, Turki M, Alessy, Saleh Ali, Algammal, Abdelazeem M, Al-Hanawi, Mohammed Khaled, Alhassan, Robert Kaba, Ali, Beriwan Abdulqadir, Ali, Liaqat, Ali, Syed Shujait, Alimohamadi, Yousef, Alipour, Vahid, Aljunid, Syed Mohamed, Alkhayyat, Motasem, Al-Maweri, Sadeq Ali Ali, Almustanyir, Sami, Alonso, Nivaldo, Alqalyoobi, Shehabaldin, Al-Raddadi, Rajaa M, Al-Rifai, Rami H Hani, Al-Sabah, Salman Khalifah, Al-Tammemi, Ala'a B, Altawalah, Haya, Alvis-Guzman, Nelson, Amare, Firehiwot, Ameyaw, Edward Kwabena, Aminian Dehkordi, Javad Javad, Amirzade-Iranaq, Mohammad Hosein, Amu, Hubert, Amusa, Ganiyu Adeniyi, Ancuceanu, Robert, Anderson, Jason A, Animut, Yaregal Animut, Anoushiravani, Amir, Anoushirvani, Ali Arash, Ansari-Moghaddam, Alireza, Ansha, Mustafa Geleto, Antony, Benny, Antwi, Maxwell Hubert, Anwar, Sumadi Lukman, Anwer, Razique, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Arab-Zozani, Morteza, Aremu, Olatunde, Argaw, Ayele Mamo, Ariffin, Hany, Aripov, Timur, Arshad, Muhammad, Artaman, Al, Arulappan, Judie, Aruleba, Raphael Taiwo, Aryannejad, Armin, Asaad, Malke, Asemahagn, Mulusew A, Asemi, Zatollah, Asghari-Jafarabadi, Mohammad, Ashraf, Tahira, Assadi, Reza, Athar, Mohammad, Athari, Seyyed Shamsadin, Atout, Maha Moh'd Wahbi, Attia, Sameh, Aujayeb, Avinash, Ausloos, Marcel, Avila-Burgos, Leticia, Awedew, Atalel Fentahun, Awoke, Mamaru Ayenew, Awoke, Tewachew, Ayala Quintanilla, Beatriz Paulina, Ayana, Tegegn Mulatu, Ayen, Solomon Shitu, Azadi, Davood, Azadnajafabad, Sina, Azami-Aghdash, Saber, Azanaw, Melkalem Mamuye, Azangou-Khyavy, Mohammadreza, Azari Jafari, Amirhossein, Azizi, Hosein, Azzam, Ahmed Y Y, Babajani, Amirhesam, Badar, Muhammad, Badiye, Ashish D, Baghcheghi, Nayereh, Bagheri, Nader, Bagherieh, Sara, Bahadory, Saeed, Baig, Atif Amin, Baker, Jennifer L, Bakhtiari, Ahad, Bakshi, Ravleen Kaur, Banach, Maciej, Banerjee, Indrajit, Bardhan, Mainak, Barone-Adesi, Francesco, Barra, Fabio, Barrow, Amadou, Bashir, Nasir Z, Bashiri, Azadeh, Basu, Saurav, Batiha, Abdul-Monim Mohammad, Begum, Aeysha, Bekele, Alehegn Bekele, Belay, Alemayehu Sayih, Belete, Melaku Ashagrie, Belgaumi, Uzma Iqbal, Bell, Arielle Wilder, Belo, Luis, Benzian, Habib, Berhie, Alemshet Yirga, Bermudez, Amiel Nazer C, Bernabe, Eduardo, Bhagavathula, Akshaya Srikanth, Bhala, Neeraj, Bhandari, Bharti Bhandari, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhattacharyya, Krittika, Bhojaraja, Vijayalakshmi S, Bhuyan, Soumitra S, Bibi, Sadia, Bilchut, Awraris Hailu, Bintoro, Bagas Suryo, Biondi, Antonio, Birega, Mesfin Geremaw Birega, Birhan, Habitu Eshetu, Bjørge, Tone, Blyuss, Oleg, Bodicha, Belay Boda Abule, Bolla, Srinivasa Rao, Boloor, Archith, Bosetti, Cristina, Braithwaite, Dejana, Brauer, Michael, Brenner, Hermann, Briko, Andrey Nikolaevich, Briko, Nikolay Ivanovich, Buchanan, Christina Maree, Bulamu, Norma B, Bustamante-Teixeira, Maria Teresa, Butt, Muhammad Hammad, Butt, Nadeem Shafique, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Cámera, Luis Alberto, Cao, Chao, Cao, Yin, Carreras, Giulia, Carvalho, Márcia, Cembranel, Francieli, Cerin, Ester, Chakraborty, Promit Ananyo, Charalampous, Periklis, Chattu, Vijay Kumar, Chimed-Ochir, Odgerel, Chirinos-Caceres, Jesus Lorenzo, Cho, Daniel Youngwhan, Cho, William C S, Christopher, Devasahayam J, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Cohen, Aaron J, Conde, Joao, Cortés, Sandra, Costa, Vera Marisa, Cruz-Martins, Natália, Culbreth, Garland T, Dadras, Omid, Dagnaw, Fentaw Teshome, Dahlawi, Saad M A, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, Daneshpajouhnejad, Parnaz, Danielewicz, Anna, Dao, An Thi Minh, Darvishi Cheshmeh Soltani, Reza, Darwesh, Aso Mohammad, Das, Saswati, Davitoiu, Dragos Virgil, Davtalab Esmaeili, Elham, De la Hoz, Fernando Pio, Debela, Sisay Abebe, Dehghan, Azizallah, Demisse, Biniyam, Demisse, Fitsum Wolde, Denova-Gutiérrez, Edgar, Derakhshani, Afshin, Derbew Molla, Meseret, Dereje, Diriba, Deribe, Kalkidan Solomon, Desai, Rupak, Desalegn, Markos Desalegn, Dessalegn, Fikadu Nugusu, Dessalegni, Samuel Abebe A, Dessie, Gashaw, Desta, Abebaw Alemayehu, Dewan, Syed Masudur Rahman, Dharmaratne, Samath Dhamminda, Dhimal, Meghnath, Dianatinasab, Mostafa, Diao, Nancy, Diaz, Daniel, Digesa, Lankamo Ena, Dixit, Shilpi Gupta, Doaei, Saeid, Doan, Linh Phuong, Doku, Paul Narh, Dongarwar, Deepa, dos Santos, Wendel Mombaque, Driscoll, Tim Robert, Dsouza, Haneil Larson, Durojaiye, Oyewole Christopher, Edalati, Sareh, Eghbalian, Fatemeh, Ehsani-Chimeh, Elham, Eini, Ebrahim, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, Ekwueme, Donatus U, El Tantawi, Maha, Elbahnasawy, Mostafa Ahmed, Elbarazi, Iffat, Elghazaly, Hesham, Elhadi, Muhammed, El-Huneidi, Waseem, Emamian, Mohammad Hassan, Engelbert Bain, Luchuo, Enyew, Daniel Berhanie, Erkhembayar, Ryenchindorj, Eshetu, Tegegne, Eshrati, Babak, Eskandarieh, Sharareh, Espinosa-Montero, Juan, Etaee, Farshid, Etemadimanesh, Azin, Eyayu, Tahir, Ezeonwumelu, Ifeanyi Jude, Ezzikouri, Sayeh, Fagbamigbe, Adeniyi Francis, Fahimi, Saman, Fakhradiyev, Ildar Ravisovich, Faraon, Emerito Jose A, Fares, Jawad, Farmany, Abbas, Farooque, Umar, Farrokhpour, Hossein, Fasanmi, Abidemi Omolara, Fatehizadeh, Ali, Fatima, Wafa, Fattahi, Hamed, Fekadu, Ginenus, Feleke, Berhanu Elfu, Ferrari, Allegra Allegra, Ferrero, Simone, Ferro Desideri, Lorenzo, Filip, Irina, Fischer, Florian, Foroumadi, Roham, Foroutan, Masoud, Fukumoto, Takeshi, Gaal, Peter Andras, Gad, Mohamed M, Gadanya, Muktar A, Gaipov, Abduzhappar, Galehdar, Nasrin, Gallus, Silvano, Garg, Tushar, Gaspar Fonseca, Mariana, Gebremariam, Yosef Haile, Gebremeskel, Teferi Gebru, Gebremichael, Mathewos Alemu, Geda, Yohannes Fikadu, Gela, Yibeltal Yismaw, Gemeda, Belete Negese Belete, Getachew, Melaku, Getachew, Motuma Erena, Ghaffari, Kazem, Ghafourifard, Mansour, Ghamari, Seyyed-Hadi, Ghasemi Nour, Mohammad, Ghassemi, Fariba, Ghimire, Ajnish, Ghith, Nermin, Gholamalizadeh, Maryam, Gholizadeh Navashenaq, Jamshid, Ghozy, Sherief, Gilani, Syed Amir, Gill, Paramjit Singh, Ginindza, Themba G, Gizaw, Abraham Tamirat T, Glasbey, James C, Godos, Justyna, Goel, Amit, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Golitaleb, Mohamad, Gorini, Giuseppe, Goulart, Bárbara Niegia Garcia, Grosso, Giuseppe, Guadie, Habtamu Alganeh, Gubari, Mohammed Ibrahim Mohialdeen, Gudayu, Temesgen Worku, Guerra, Maximiliano Ribeiro, Gunawardane, Damitha Asanga, Gupta, Bhawna, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Gurara, Mekdes Kondale, Guta, Alemu, Habibzadeh, Parham, Haddadi Avval, Atlas, Hafezi-Nejad, Nima, Hajj Ali, Adel, Haj-Mirzaian, Arvin, Halboub, Esam S, Halimi, Aram, Halwani, Rabih, Hamadeh, Randah R, Hameed, Sajid, Hamidi, Samer, Hanif, Asif, Hariri, Sanam, Harlianto, Netanja I, Haro, Josep Maria, Hartono, Risky Kusuma, Hasaballah, Ahmed I, Hasan, S M Mahmudul, Hasani, Hamidreza, Hashemi, Seyedeh Melika, Hassan, Abbas M, Hassanipour, Soheil, Hayat, Khezar, Heidari, Golnaz, Heidari, Mohammad, Heidarymeybodi, Zahra, Herrera-Serna, Brenda Yuliana, Herteliu, Claudiu, Hezam, Kamal, Hiraike, Yuta, Hlongwa, Mbuzeleni Mbuzeleni, Holla, Ramesh, Holm, Marianne, Horita, Nobuyuki, Hoseini, Mohammad, Hossain, Md Mahbub, Hossain, Mohammad Bellal Hossain, Hosseini, Mohammad-Salar, Hosseinzadeh, Ali, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Househ, Mowafa, Huang, Junjie, Hugo, Fernando N, Humayun, Ayesha, Hussain, Salman, Hussein, Nawfal R, Hwang, Bing-Fang, Ibitoye, Segun Emmanuel, Iftikhar, Pulwasha Maria, Ikuta, Kevin S, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Immurana, Mustapha, Innos, Kaire, Iranpour, Pooya, Irham, Lalu Muhammad, Islam, Md Shariful, Islam, Rakibul M, Islami, Farhad, Ismail, Nahlah Elkudssiah, Isola, Gaetano, Iwagami, Masao, J, Linda Merin, Jaiswal, Abhishek, Jakovljevic, Mihajlo, Jalili, Mahsa, Jalilian, Shahram, Jamshidi, Elham, Jang, Sung-In, Jani, Chinmay T, Javaheri, Tahereh, Jayarajah, Umesh Umesh, Jayaram, Shubha, Jazayeri, Seyed Behzad, Jebai, Rime, Jemal, Bedru, Jeong, Wonjeong, Jha, Ravi Prakash, Jindal, Har Ashish, John-Akinola, Yetunde O, Jonas, Jost B, Joo, Tamas, Joseph, Nitin, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kabir, Ali, Kacimi, Salah Eddine Oussama, Kadashetti, Vidya, Kahe, Farima, Kakodkar, Pradnya Vishal, Kalankesh, Laleh R, Kalankesh, Leila R, Kalhor, Rohollah, Kamal, Vineet Kumar, Kamangar, Farin, Kamath, Ashwin, Kanchan, Tanuj, Kandaswamy, Eswar, Kandel, Himal, Kang, HyeJung, Kanno, Girum Gebremeskel, Kapoor, Neeti, Kar, Sitanshu Sekhar, Karanth, Shama D, Karaye, Ibraheem M, Karch, André, Karimi, Amirali, Kassa, Bekalu Getnet, Katoto, Patrick DMC, Kauppila, Joonas H, Kaur, Harkiran, Kebede, Abinet Gebremickael, Keikavoosi-Arani, Leila, Kejela, Gemechu Gemechu, Kemp Bohan, Phillip M, Keramati, Maryam, Keykhaei, Mohammad, Khajuria, Himanshu, Khan, Abbas, Khan, Abdul Aziz Khan, Khan, Ejaz Ahmad, Khan, Gulfaraz, Khan, Md Nuruzzaman, Khan, Moien AB, Khanali, Javad, Khatab, Khaled, Khatatbeh, Moawiah Mohammad, Khatib, Mahalaqua Nazli, Khayamzadeh, Maryam, Khayat Kashani, Hamid Reza, Khazeei Tabari, Mohammad Amin, Khezeli, Mehdi, Khodadost, Mahmoud, Kim, Min Seo, Kim, Yun Jin, Kisa, Adnan, Kisa, Sezer, Klugar, Miloslav, Klugarová, Jitka, Kolahi, Ali-Asghar, Kolkhir, Pavel, Kompani, Farzad, Koul, Parvaiz A, Koulmane Laxminarayana, Sindhura Lakshmi, Koyanagi, Ai, Krishan, Kewal, Krishnamoorthy, Yuvaraj, Kucuk Bicer, Burcu, Kugbey, Nuworza, Kulimbet, Mukhtar, Kumar, Akshay, Kumar, G Anil, Kumar, Narinder, Kurmi, Om P, Kuttikkattu, Ambily, La Vecchia, Carlo, Lahiri, Arista, Lal, Dharmesh Kumar, Lám, Judit, Lan, Qing, Landires, Iván, Larijani, Bagher, Lasrado, Savita, Lau, Jerrald, Lauriola, Paolo, Ledda, Caterina, Lee, Sang-woong, Lee, Shaun Wen Huey, Lee, Wei-Chen, Lee, Yeong Yeh, Lee, Yo Han, Legesse, Samson Mideksa, Leigh, James, Leong, Elvynna, Li, Ming-Chieh, Lim, Stephen S, Liu, Gang, Liu, Jue, Lo, Chun-Han, Lohiya, Ayush, Lopukhov, Platon D, Lorenzovici, László, Lotfi, Mojgan, Loureiro, Joana A, Lunevicius, Raimundas, Madadizadeh, Farzan, Mafi, Ahmad R, Magdeldin, Sameh, Mahjoub, Soleiman, Mahmoodpoor, Ata, Mahmoudi, Morteza, Mahmoudimanesh, Marzieh, Mahumud, Rashidul Alam, Majeed, Azeem, Majidpoor, Jamal, Makki, Alaa, Makris, Konstantinos Christos, Malakan Rad, Elaheh, Malekpour, Mohammad-Reza, Malekzadeh, Reza, Malik, Ahmad Azam, Mallhi, Tauqeer Hussain, Mallya, Sneha Deepak, Mamun, Mohammed A, Manda, Ana Laura, Mansour-Ghanaei, Fariborz, Mansouri, Borhan, Mansournia, Mohammad Ali, Mantovani, Lorenzo Giovanni, Martini, Santi, Martorell, Miquel, Masoudi, Sahar, Masoumi, Seyedeh Zahra, Matei, Clara N, Mathews, Elezebeth, Mathur, Manu Raj, Mathur, Vasundhara, McKee, Martin, Meena, Jitendra Kumar, Mehmood, Khalid, Mehrabi Nasab, Entezar, Mehrotra, Ravi, Melese, Addisu, Mendoza, Walter, Menezes, Ritesh G, Mengesha, SIsay Derso, Mensah, Laverne G, Mentis, Alexios-Fotios A, Mera-Mamián, Andry Yasmid Mera, Meretoja, Tuomo J, Merid, Mehari Woldemariam, Mersha, Amanual Getnet, Meselu, Belsity Temesgen, Meshkat, Mahboobeh, Mestrovic, Tomislav, Miao Jonasson, Junmei, Miazgowski, Tomasz, Michalek, Irmina Maria, Mijena, Gelana Fekadu Worku, Miller, Ted R, Mir, Shabir Ahmad, Mirinezhad, Seyed Kazem, Mirmoeeni, Seyyedmohammadsadeq, Mirza-Aghazadeh-Attari, Mohammad, Mirzaei, Hamed, Mirzaei, Hamid Reza, Misganaw, Abay Sisay, Misra, Sanjeev, Mohammad, Karzan Abdulmuhsin, Mohammadi, Esmaeil, Mohammadi, Mokhtar, Mohammadian-Hafshejani, Abdollah, Mohammadpourhodki, Reza, Mohammed, Arif, Mohammed, Shafiu, Mohan, Syam, Mohseni, Mohammad, Moka, Nagabhishek, Mokdad, Ali H, Molassiotis, Alex, Molokhia, Mariam, Momenzadeh, Kaveh, Momtazmanesh, Sara, Monasta, Lorenzo, Mons, Ute, Montasir, Ahmed Al, Montazeri, Fateme, Montero, Arnulfo, Moosavi, Mohammad Amin, Moradi, Abdolvahab, Moradi, Yousef, Moradi Sarabi, Mostafa, Moraga, Paula, Morawska, Lidia, Morrison, Shane Douglas, Morze, Jakub, Mosapour, Abbas, Mostafavi, Ebrahim, Mousavi, Seyyed Meysam, Mousavi Isfahani, Haleh, Mousavi Khaneghah, Amin, Mpundu-Kaambwa, Christine, Mubarik, Sumaira, Mulita, Francesk, Munblit, Daniel, Munro, Sandra B, Murillo-Zamora, Efrén, Musa, Jonah, Nabhan, Ashraf F, Nagarajan, Ahamarshan Jayaraman, Nagaraju, Shankar Prasad, Nagel, Gabriele, Naghipour, Mohammadreza, Naimzada, Mukhammad David, Nair, Tapas Sadasivan, Naqvi, Atta Abbas, Narasimha Swamy, Sreenivas, Narayana, Aparna Ichalangod, Nassereldine, Hasan, Natto, Zuhair S, Nayak, Biswa Prakash, Ndejjo, Rawlance, Nduaguba, Sabina Onyinye, Negash, Wogene Wogene, Nejadghaderi, Seyed Aria, Nejati, Kazem, Neupane Kandel, Sandhya, Nguyen, Huy Van Nguyen, Niazi, Robina Khan, Noor, Nurulamin M, Noori, Maryam, Noroozi, Nafise, Nouraei, Hasti, Nowroozi, Ali, Nuñez-Samudio, Virginia, Nzoputam, Chimezie Igwegbe, Nzoputam, Ogochukwu Janet, Oancea, Bogdan, Odukoya, Oluwakemi Ololade, Oghenetega, Onome Bright, Ogunsakin, Ropo Ebenezer, Oguntade, Ayodipupo Sikiru, Oh, In-Hwan, Okati-Aliabad, Hassan, Okekunle, Akinkunmi Paul, Olagunju, Andrew T, Olagunju, Tinuke O, Olakunde, Babayemi Oluwaseun, Olufadewa, Isaac Iyinoluwa, Omer, Emad, Omonisi, Abidemi E Emmanuel, Ong, Sokking, Onwujekwe, Obinna E, Orru, Hans, Otstavnov, Stanislav S, Oulhaj, Abderrahim, Oumer, Bilcha, Owopetu, Oluwatomi Funbi, Oyinloye, Babatunji Emmanuel, P A, Mahesh, Padron-Monedero, Alicia, Padubidri, Jagadish Rao, Pakbin, Babak, Pakshir, Keyvan, Pakzad, Reza, Palicz, Tamás, Pana, Adrian, Pandey, Anamika, Pandey, Ashok, Pant, Suman, Pardhan, Shahina, Park, Eun-Cheol, Park, Eun-Kee, Park, Seoyeon, Patel, Jay, Pati, Siddhartha, Paudel, Rajan, Paudel, Uttam, Paun, Mihaela, Pazoki Toroudi, Hamidreza, Peng, Minjin, Pereira, Jeevan, Pereira, Renato B, Perna, Simone, Perumalsamy, Navaraj, Pestell, Richard G, Pezzani, Raffaele, Piccinelli, Cristiano, Pillay, Julian David, Piracha, Zahra Zahid, Pischon, Tobias, Postma, Maarten J, Pourabhari Langroudi, Ashkan, Pourshams, Akram, Pourtaheri, Naeimeh, Prashant, Akila, Qadir, Mirza Muhammad Fahd, Quazi Syed, Zahiruddin, Rabiee, Mohammad, Rabiee, Navid, Radfar, Amir, Radhakrishnan, Raghu Anekal, Radhakrishnan, Venkatraman, Raeisi, Mojtaba, Rafiee, Ata, Rafiei, Alireza, Raheem, Nasiru, Rahim, Fakher, Rahman, Md Obaidur, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmani, Amir Masoud, Rahmani, Shayan, Rahmanian, Vahid, Rajai, Nazanin, Rajesh, Aashish, Ram, Pradhum, Ramezanzadeh, Kiana, Rana, Juwel, Ranabhat, Kamal, Ranasinghe, Priyanga, Rao, Chythra R, Rao, Sowmya J, Rashedi, Sina, Rashidi, Amirfarzan, Rashidi, Mahsa, Rashidi, Mohammad-Mahdi, Ratan, Zubair Ahmed, Rawaf, David Laith, Rawaf, Salman, Rawal, Lal, Rawassizadeh, Reza, Razeghinia, Mohammad Sadegh, Rehman, Ashfaq Ur, Rehman, Inayat ur, Reitsma, Marissa B, Renzaho, Andre M N, Rezaei, Maryam, Rezaei, Nazila, Rezaei, Negar, Rezaei, Nima, Rezaei, Saeid, Rezaeian, Mohsen, Rezapour, Aziz, Riad, Abanoub, Rikhtegar, Reza, Rios-Blancas, Maria, Roberts, Thomas J, Rohloff, Peter, Romero-Rodríguez, Esperanza, Roshandel, Gholamreza, Rwegerera, Godfrey M, S, Manjula, Saber-Ayad, Maha Mohamed, Saberzadeh-Ardestani, Bahar, Sabour, Siamak, Saddik, Basema, Sadeghi, Erfan, Saeb, Mohammad Reza, Saeed, Umar, Safaei, Mohsen, Safary, Azam, Sahebazzamani, Maryam, Sahebkar, Amirhossein, Sahoo, Harihar, Sajid, Mirza Rizwan, Salari, Hedayat, Salehi, Sana, Salem, Marwa Rashad, Salimzadeh, Hamideh, Samodra, Yoseph Leonardo, Samy, Abdallah M, Sanabria, Juan, Sankararaman, Senthilkumar, Sanmarchi, Francesco, Santric-Milicevic, Milena M, Saqib, Muhammad Arif Nadeem, Sarveazad, Arash, Sarvi, Fatemeh, Sathian, Brijesh, Satpathy, Maheswar, Sayegh, Nicolas, Schneider, Ione Jayce Ceola, Schwarzinger, Michaël, Šekerija, Mario, Senthilkumaran, Subramanian, Sepanlou, Sadaf G, Seylani, Allen, Seyoum, Kenbon, Sha, Feng, Shafaat, Omid, Shah, Pritik A, Shahabi, Saeed, Shahid, Izza, Shahrbaf, Mohammad Amin, Shahsavari, Hamid R, Shaikh, Masood Ali, Shaka, Mohammed Feyisso, Shaker, Elaheh, Shannawaz, Mohammed, Sharew, Mequannent Melaku Sharew, Sharifi, Azam, Sharifi-Rad, Javad, Sharma, Purva, Shashamo, Bereket Beyene, Sheikh, Aziz, Sheikh, Mahdi, Sheikhbahaei, Sara, Sheikhi, Rahim Ali, Sheikhy, Ali, Shepherd, Peter Robin, Shetty, Adithi, Shetty, Jeevan K, Shetty, Ranjitha S, Shibuya, Kenji, Shirkoohi, Reza, Shirzad-Aski, Hesamaddin, Shivakumar, K M, Shivalli, Siddharudha, Shivarov, Velizar, Shobeiri, Parnian, Shokri Varniab, Zahra, Shorofi, Seyed Afshin, Shrestha, Sunil, Sibhat, Migbar Mekonnen, Siddappa Malleshappa, Sudeep K, Sidemo, Negussie Boti, Silva, Diego Augusto Santos, Silva, Luís Manuel Lopes Rodrigues, Silva Julian, Guilherme, Silvestris, Nicola, Simegn, Wudneh, Singh, Achintya Dinesh, Singh, Ambrish, Singh, Garima, Singh, Harpreet, Singh, Jasvinder A, Singh, Jitendra Kumar, Singh, Paramdeep, Singh, Surjit, Sinha, Dhirendra Narain, Sinke, Abiy H, Siraj, Md Shahjahan, Sitas, Freddy, Siwal, Samarjeet Singh, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Socea, Bogdan, Soeberg, Matthew J, Sofi-Mahmudi, Ahmad, Solomon, Yonatan, Soltani-Zangbar, Mohammad Sadegh, Song, Suhang, Song, Yimeng, Sorensen, Reed J D, Soshnikov, Sergey, Sotoudeh, Houman, Sowe, Alieu, Sufiyan, Mu'awiyyah Babale, Suk, Ryan, Suleman, Muhammad, Suliankatchi Abdulkader, Rizwan, Sultana, Saima, Sur, Daniel, Szócska, Miklós, Tabaeian, Seidamir Pasha, Tabarés-Seisdedos, Rafael, Tabatabaei, Seyyed Mohammad, Tabuchi, Takahiro, Tadbiri, Hooman, Taheri, Ensiyeh, Taheri, Majid, Taheri Soodejani, Moslem, Takahashi, Ken, Talaat, Iman M, Tampa, Mircea, Tan, Ker-Kan, Tat, Nathan Y, Tat, Vivian Y, Tavakoli, Ahmad, Tavakoli, Arash, Tehrani-Banihashemi, Arash, Tekalegn, Yohannes, Tesfay, Fisaha Haile, Thapar, Rekha, Thavamani, Aravind, Thoguluva Chandrasekar, Viveksandeep, Thomas, Nihal, Thomas, Nikhil Kenny, Ticoalu, Jansje Henny Vera, Tiyuri, Amir, Tollosa, Daniel Nigusse, Topor-Madry, Roman, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Traini, Eugenio, Tran, Mai Thi Ngoc, Tripathy, Jaya Prasad, Ukke, Gebresilasea Gendisha, Ullah, Irfan, Ullah, Saif, Ullah, Sana, Unnikrishnan, Bhaskaran, Vacante, Marco, Vaezi, Maryam, Valadan Tahbaz, Sahel, Valdez, Pascual R, Vardavas, Constantine, Varthya, Shoban Babu, Vaziri, Siavash, Velazquez, Diana Zuleika, Veroux, Massimiliano, Villeneuve, Paul J, Violante, Francesco S, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vo, Bay, Vu, Linh Gia, Wadood, Abdul Wadood, Waheed, Yasir, Walde, Mandaras Tariku, Wamai, Richard G, Wang, Cong, Wang, Fang, Wang, Ning, Wang, Yu, Ward, Paul, Waris, Abdul, Westerman, Ronny, Wickramasinghe, Nuwan Darshana, Woldemariam, Melat, Woldu, Berhanu, Xiao, Hong, Xu, Suowen, Xu, Xiaoyue, Yadav, Lalit, Yahyazadeh Jabbari, Seyed Hossein, Yang, Lin, Yazdanpanah, Fereshteh, Yeshaw, Yigizie, Yismaw, Yazachew, Yonemoto, Naohiro, Younis, Mustafa Z, Yousefi, Zabihollah, Yousefian, Fatemeh, Yu, Chuanhua, Yu, Yong, Yunusa, Ismaeel, Zahir, Mazyar, Zaki, Nazar, Zaman, Burhan Abdullah, Zangiabadian, Moein, Zare, Fariba, Zare, Iman, Zareshahrabadi, Zahra, Zarrintan, Armin, Zastrozhin, Mikhail Sergeevich, Zeineddine, Mohammad A, Zhang, Dongyu, Zhang, Jianrong, Zhang, Yunquan, Zhang, Zhi-Jiang, Zhou, Linghui, Zodpey, Sanjay, Zoladl, Mohammad, Vos, Theo, Hay, Simon I, Force, Lisa M, and Murray, Christopher J L

Published
2022
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35. Pseudomonas species prevalence, protein analysis, and antibiotic resistance: an evolving public health challenge

Author

Ayman Elbehiry, Eman Marzouk, Musaad Aldubaib, Ihab Moussa, Adil Abalkhail, Mai Ibrahem, Mohamed Hamada, Wael Sindi, Feras Alzaben, Abdulaziz Mohammad Almuzaini, Abdelazeem M. Algammal, and Mohammed Rawway

Subjects
Pseudomonas spp., Chilled meat, Identification, Antimicrobial resistance, Biotechnology, TP248.13-248.65, Microbiology, QR1-502
Abstract

Abstract Psychrotrophic Pseudomonas is one of the significant microbes that lead to putrefaction in chilled meat. One of the biggest problems in the detection of Pseudomonas is that several species are seemingly identical. Currently, antibiotic resistance is one of the most significant challenges facing the world's health and food security. Therefore, this study was designed to apply an accurate technique for eliminating the identification discrepancy of Pseudomonas species and to study their resistance against various antimicrobials. A total of 320 chicken meat specimens were cultivated, and the isolated bacteria’ were phenotypically recognized. Protein analysis was carried out for cultured isolates via Microflex LT. The resistance of Pseudomonas isolates was recorded through Vitek® 2 AST-GN83 cards. Overall, 69 samples were identified as Pseudomonas spp. and included 18 Pseudomonas lundensis (P. lundensis), 16 Pseudomonas fragi (P. fragi), 13 Pseudomonas oryzihabitans (P. oryzihabitans), 10 Pseudomonas stutzeri (P. stutzeri), 5 Pseudomonas fluorescens (P. fluorescens), 4 Pseudomonas putida (P. putida), and 3 Pseudomonas aeruginosa (P. aeruginosa) isolates. Microflex LT identified all Pseudomonas isolates (100%) correctly with a score value ≥ 2.00. PCA positively discriminated the identified isolates into various groups. The antimicrobial resistance levels against Pseudomonas isolates were 81.16% for nitrofurantoin, 71% for ampicillin and ampicillin/sulbactam, 65.22% for cefuroxime and ceftriaxone, 55% for aztreonam, and 49.28% for ciprofloxacin. The susceptibilities were 100% for cefotaxime, 98.55% for ceftazidime, 94.20% for each piperacillin/tazobactam and cefepime, 91.3% for cefazolin. In conclusion, chicken meat was found to be contaminated with different Pseudomonas spp., with high incidence rates of P. lundensis. Microflex LT is a potent tool for distinguishing Pseudomonads at the species level.

Published
2022
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36. Newly Emerging MDR B. cereus in Mugil seheli as the First Report Commonly Harbor nhe, hbl, cytK, and pc-plc Virulence Genes and bla1, bla2, tetA, and ermA Resistance Genes

Author

Algammal AM, Alfifi KJ, Mabrok M, Alatawy M, Abdel-moneam DA, Alghamdi S, Azab MM, Ibrahim RA, Hetta HF, and El-Tarabili RM

Subjects
mdr b. cereus, virulence traits, antibiogram, virulence genes, antimicrobial resistance genes, Infectious and parasitic diseases, RC109-216
Abstract

Abdelazeem M Algammal,1 Khyreyah J Alfifi,2 Mahmoud Mabrok,3 Marfat Alatawy,2 Dalia A Abdel-moneam,4 Saad Alghamdi,5 Marwa M Azab,6 Reham A Ibrahim,7 Helal F Hetta,8 Reham M El-Tarabili1 1Department of Bacteriology, Immunology, and Mycology, Faculty of Veterinary Medicine, Suez Canal University, Ismailia, 41522, Egypt; 2Biology Department, Faculty of Science, Tabuk University, Tabuk, 71421, Saudi Arabia; 3Department of Fish Diseases and Management, Faculty of Veterinary Medicine, Suez Canal University, Ismailia, 41522, Egypt; 4Department of Aquatic Animal Medicine and Management, Faculty of Veterinary Medicine, Cairo University, Cairo, 12613, Egypt; 5Laboratory Medicine Department, Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, 21955, Saudi Arabia; 6Department of Microbiology and Immunology, Faculty of Pharmacy, Suez Canal University, Ismailia, 41522, Egypt; 7Marine Environmental Division- National Institute of Oceanography and Fisheries (NIOF), Suez, 43511, Egypt; 8Department of Medical Microbiology and Immunology, Faculty of Medicine, Assiut University, Assiut, 71515, EgyptCorrespondence: Abdelazeem M Algammal, Department of Bacteriology, Immunology and Mycology, Faculty of Veterinary Medicine, Suez Canal University, Ismailia, 41522, Egypt, Email abdelazeem.algammal@vet.suez.edu.eg Mahmoud Mabrok, Department of Fish Diseases and Management, Faculty of Veterinary Medicine, Suez Canal University, Ismailia, 41522, Egypt, Email dr.mahmoudmabrok@yahoo.comBackground: Bacillus cereus is a common food poisoning pathogen in humans. This study aimed to investigate the prevalence, molecular typing, antibiogram profile, pathogenicity, dissemination of virulence and antibiotic resistance genes associated with natural B. cereus infection among Mugil seheli.Methods: Consequently, 120 M. seheli (40 healthy and 80 diseased) were obtained from private fish farms in Port-said Governorate, Egypt. Afterward, samples were processed for clinical, post-mortem, and bacteriological examinations. The recovered isolates were tested for antimicrobial susceptibility, phenotypic assessment of virulence factors, pathogeneicity, and PCR-based detection of virulence and antibiotic resistance genes.Results: B. cereus was isolated from 30 (25%) examined fish; the highest prevalence was noticed in the liver (50%). The phylogenetic and sequence analyses of the gyrB gene revealed that the tested B. cereus isolate displayed a high genetic similarity with other B. cereus strains from different origins. All the recovered B. cereus isolates (n =60, 100%) exhibited β-hemolytic and lecithinase activities, while 90% (54/60) of the tested isolates were biofilm producers. Using PCR, the tested B. cereus isolates harbor nhe, hbl, cytK, pc-plc, and ces virulence genes with prevalence rates of 91.6%, 86.6%, 83.4%, 50%, and 33.4%, respectively. Moreover, 40% (24/60) of the tested B. cereus isolates were multidrug-resistant (MDR) to six antimicrobial classes and carried the bla 1, bla 2, tetA, and ermA genes. The experimentally infected fish with B. cereus showed variable mortality in direct proportion to the inoculated doses.Conclusion: As far as we know, this is the first report that emphasized the existence of MDR B. cereus in M. seheli that reflects a threat to the public health and the aquaculture sector. Newly emerging MDR B. cereus in M. seheli commonly carried virulence genes nhe, hbl, cytK, and pc-plc, as well as resistance genes bla 1, bla 2, tetA, and ermA.Keywords: MDR B. cereus, virulence traits, antibiogram, virulence genes, antimicrobial resistance genes

Published
2022

37. Virulence determinant and antimicrobial resistance traits of Emerging MDR Shiga toxigenic E. coli in diarrheic dogs

Author

Abdelazeem M. Algammal, Reham M. El-Tarabili, Khyreyah J. Alfifi, Amenah S. Al-Otaibi, Marwa E. Abo Hashem, Mamdouh M. El-Maghraby, and Ahmed E. Mahmoud

Subjects
STEC, Dogs, Antibiogram, MDR, Antimicrobial resistance genes, Virulence determinants, Biotechnology, TP248.13-248.65, Microbiology, QR1-502
Abstract

Abstract Shiga-toxigenic Escherichia coli (STEC) is incriminated in severe hemorrhagic enteritis in dogs, which is considered a veterinary and public health alarm. To investigate the prevalence, antimicrobial resistance patterns, virulence determinants, and distribution of antimicrobial resistance genes in STEC strains isolated from dogs: 80 fecal samples were obtained from diseased dogs suffering from hemorrhagic diarrhea from pet animal clinics in Ismailia governorate, Egypt. The obtained samples were examined bacteriologically. Moreover, the retrieved isolates were tested for serogrouping, Congo-red binding, antimicrobial resistance, and PCR-based determination of virulence and antimicrobial resistance genes. The prevalence of E. coli in the examined diseased dogs was 23.75% (19/80). The serogrouping of the recovered isolates revealed that 84.2% of the tested isolates were distributed into three serogroups: O146 (36.8%), O111 (31.5%), and O26 (15.7%). Meanwhile, three isolates were untypable (15.8%). Moreover, all the tested E. coli serovars were positive for CR-binding. PCR revealed that the prevalence of stx1, eaeA, hlyA, and stx2 virulence genes was 100%, 100%, 100%, and 47.3%, respectively. Our findings revealed that 31.5% of the recovered isolates showed MDR to five antimicrobial classes and harbored bla TEM, bla CTX-M, tetA, tetB, and sul1 genes. Alarmingly, three isolates were carbapenem-resistant. Two strains harbored the bla KPC gene, while one strain carried the bla NDM-1 gene. Concisely, as far as we know, this is the first study that reported the existence of MDR-STEC in dogs in Egypt. The stx1 gene is the most predominant Shiga toxin gene that accompanied the STEC isolated from hemorrhagic enteritis in dogs. The emerging MDR-STEC in dogs commonly harbors bla TEM, bla CTX-M, sul1, tetA, tetB, and qnrA resistance genes. Meropenem, levofloxacin, and tigecycline exhibited talented antimicrobial activity against MDR-STEC isolated from dogs.

Published
2022
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41. Tenacibaculosis caused by Tenacibaculum maritimum: Updated knowledge of this marine bacterial fish pathogen

Author

Mahmoud Mabrok, Abdelazeem M. Algammal, Elayaraja Sivaramasamy, Helal F. Hetta, Banan Atwah, Saad Alghamdi, Aml Fawzy, Ruben Avendaño-Herrera, and Channarong Rodkhum

Subjects
Tenacibaculum maritimum, tenacibaculosis, pathogenicity, marine fish, aquaculture, Microbiology, QR1-502
Abstract

Tenacibaculosis occurs due to the marine bacterial pathogen Tenacibaculum maritimum. This ulcerative disease causes high mortalities for various marine fish species worldwide. Several external clinical signs can arise, including mouth erosion, epidermal ulcers, fin necrosis, and tail rot. Research in the last 15 years has advanced knowledge on the traits and pathogenesis mechanisms of T. maritimum. Consequently, significant progress has been made in defining the complex host-pathogen relationship. Nevertheless, tenacibaculosis pathogenesis is not yet fully understood. Continued research is urgently needed, as demonstrated by recent reports on the re-emerging nature of tenacibaculosis in salmon farms globally. Current sanitary conditions compromise the development of effective alternatives to antibiotics, in addition to hindering potential preventive measures against tenacibaculosis. The present review compiles knowledge of T. maritimum reported after the 2006 review by Avendaño-Herrera and colleagues. Essential aspects are emphasized, including antigenic and genomic characterizations and molecular diagnostic procedures. Further summarized are the epidemiological foundations of the T. maritimum population structure and elucidations as to the virulence mechanisms of pathogenic isolates, as found using biological, microbiological, and genomic techniques. This comprehensive source of reference will undoubtable serve in tenacibaculosis prevention and control within the marine fish farming industry. Lastly, knowledge gaps and valuable research areas are indicated as potential guidance for future studies.

Published
2023
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42. COVID-19 surveillance in wastewater: An epidemiological tool for the monitoring of SARS-CoV-2

Author

Sajida Maryam, Ihtisham Ul Haq, Galal Yahya, Mehboob Ul Haq, Abdelazeem M. Algammal, Sameh Saber, and Simona Cavalu

Subjects
wastewater surveillance, point-of-care diagnostics, COVID-19 pandemic, COVID-19 surveillance system, early warning system, Microbiology, QR1-502
Abstract

The coronavirus disease 2019 (COVID-19) pandemic has prompted a lot of questions globally regarding the range of information about the virus’s possible routes of transmission, diagnostics, and therapeutic tools. Worldwide studies have pointed out the importance of monitoring and early surveillance techniques based on the identification of viral RNA in wastewater. These studies indicated the presence of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in human feces, which is shed via excreta including mucus, feces, saliva, and sputum. Subsequently, they get dumped into wastewater, and their presence in wastewater provides a possibility of using it as a tool to help prevent and eradicate the virus. Its monitoring is still done in many regions worldwide and serves as an early “warning signal”; however, a lot of limitations of wastewater surveillance have also been identified.

Published
2023
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44. Coexistence of blaNDM–5 and tet(X4) in international high-risk Escherichia coli clone ST648 of human origin in China

Author

Muhammad Shafiq, Mi Zeng, Budi Permana, Hazrat Bilal, Jinhu Huang, Fen Yao, Abdelazeem Mohamed Algammal, Xin Li, Yumeng Yuan, and Xiaoyang Jiao

Subjects
antimicrobial resistance, Escherichia coli, blaNDM–5, tet(X4), coexistence, superbugs, Microbiology, QR1-502
Abstract

The emergence of pathogens is conferring resistance to last-resort therapies such as tigecycline, colistin, and carbapenems, limiting the therapeutic options, and raising concerns about the emergence of new “superbugs.” This study reports the first incident of a blaNDM–5 and tet(X4) co-harboring Escherichia coli with resistance to carbapenem and tigecycline recovered as the causative agent of a urinary tract infection in a 94-year-old patient. The E. coli strain ECCL209 carries multiple resistance genes [i.e., blaTEM–1B, blaNDM–5, blaCMY–2, aadA22, florR, erm(B), mph(A), erm(42), lnuG, qnrS1, and sul2] and exhibits resistance to almost all clinically used antibiotics. MLST analysis found that the strain belongs to ST648, considered a worldwide high-risk pandemic clone. Moreover, multiple plasmid incompatibility types were detected, i.e., IncHI1A, IncHI1B, IncFII, IncFIA, IncFIB, IncQ1, Col, and IncX4. Genetic analysis revealed that blaNDM–5 and tet(X4) genes were localized on two hybrid plasmids with multiple replicons. Continuous monitoring studies are suggested to quantify the antimicrobial resistance and assess the dissemination of such superbugs into a human healthcare setting.

Published
2022
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45. Emerging MDR-Mycobacterium avium subsp. avium in house-reared domestic birds as the first report in Egypt

Author

Abdelazeem M. Algammal, Hany R. Hashem, Amenah S. Al-otaibi, Khyreyah J. Alfifi, Esraa M. El-dawody, Eman Mahrous, Helal F. Hetta, Ali W. El-Kholy, Hazem Ramadan, and Reham M. El-Tarabili

Subjects
M. avium subsp. avium, House-reared domestic birds, prevalence, Antibiogram, MDR, antibiotic resistance-related genes, Microbiology, QR1-502
Abstract

Abstract Background Avian tuberculosis is a chronic and zoonotic disease that affects a wide variety of birds, mammals, and humans. This study aimed to estimate the frequency of Mycobacterium avium subsp. avium in some domestic birds based on molecular diagnosis, antibiogram profile, and PCR-based detection of inhA, rpoB, rpsL, and otrB antibiotic resistance-related genes. Methods A total of 120 fecal samples were collected from small flocks of house-reared domestic birds at Ismailia Governorate, Egypt. The collected samples were processed and subjected to the bacteriological examination. The antimicrobial susceptibility testing of the recovered isolates was performed using the broth microdilution method for the detection of minimum inhibitory concentrations (MICs). The genetic detection of the IS901confirmatory gene, inhA, rpoB, rpsL, and otrB genes was carried out using PCR. Results The frequency of M. avium subsp. avium was 4.1% (5/120); 10% (4/40) in ducks, and 2.5% (1/10) in geese. The identification of the recovered isolates was confirmed using PCR, where all the tested isolates were positive for IS901confirmatory gene. The results of the broth microdilution method revealed that most of the recovered isolates exhibited multidrug resistance (MDR) to isoniazid, rifampicin, streptomycin, oxytetracycline, and doxycycline, and harbored the inhA, rpoB, rpsL, and otrB genes. Conclusion In brief, to the best of our knowledge this is the first report that emphasized the emergence of avian tuberculosis in house-reared domestic birds in Egypt. The emergence of MDR- M. avium subsp. avium is considered a public health threat. Emerging MDR-M. avium subsp. avium in domestic birds are commonly harbored the IS901, inhA, rpoB, rpsL, and otrB genes. Azithromycin and clofazimine revealed a promising in-vitro antibacterial activity against M. avium subsp. avium.

Published
2021
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46. atpD gene sequencing, multidrug resistance traits, virulence-determinants, and antimicrobial resistance genes of emerging XDR and MDR-Proteus mirabilis

Author

Abdelazeem M. Algammal, Hany R. Hashem, Khyreyah J. Alfifi, Helal F. Hetta, Norhan S. Sheraba, Hazem Ramadan, and Reham M. El-Tarabili

Subjects
Medicine, Science
Abstract

Abstract Proteus mirabilis is a common opportunistic pathogen causing severe illness in humans and animals. To determine the prevalence, antibiogram, biofilm-formation, screening of virulence, and antimicrobial resistance genes in P. mirabilis isolates from ducks; 240 samples were obtained from apparently healthy and diseased ducks from private farms in Port-Said Province, Egypt. The collected samples were examined bacteriologically, and then the recovered isolates were tested for atpD gene sequencing, antimicrobial susceptibility, biofilm-formation, PCR detection of virulence, and antimicrobial resistance genes. The prevalence of P. mirabilis in the examined samples was 14.6% (35/240). The identification of the recovered isolates was confirmed by the atpD gene sequencing, where the tested isolates shared a common ancestor. Besides, 94.3% of P. mirabilis isolates were biofilm producers. The recovered isolates were resistant to penicillins, sulfonamides, β-Lactam-β-lactamase-inhibitor-combinations, tetracyclines, cephalosporins, macrolides, and quinolones. Using PCR, the retrieved strains harbored atpD, ureC, rsbA, and zapA virulence genes with a prevalence of 100%, 100%, 94.3%, and 91.4%, respectively. Moreover, 31.4% (11/35) of the recovered strains were XDR to 8 antimicrobial classes that harbored bla TEM , bla OXA-1 , bla CTX-M , tetA, and sul1 genes. Besides, 22.8% (8/35) of the tested strains were MDR to 3 antimicrobial classes and possessed bla TEM , tetA, and sul1genes. Furthermore, 17.1% (6/35) of the tested strains were MDR to 7 antimicrobial classes and harbored bla TEM , bla OXA-1 , bla CTX-M , tetA, and sul1 genes. Alarmingly, three strains were carbapenem-resistant that exhibited PDR to all the tested 10 antimicrobial classes and shared bla TEM, bla OXA-1, bla CTX-M, tetA, and sul1 genes. Of them, two strains harbored the bla NDM-1 gene, and one strain carried the bla KPC gene. In brief, to the best of our knowledge, this is the first study demonstrating the emergence of XDR and MDR-P.mirabilis in ducks. Norfloxacin exhibited promising antibacterial activity against the recovered XDR and MDR-P. mirabilis. The emergence of PDR, XDR, and MDR-strains constitutes a threat alarm that indicates the complicated treatment of the infections caused by these superbugs.

Published
2021
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47. Antibiofilm and antivirulence potential of silver nanoparticles against multidrug-resistant Acinetobacter baumannii

Author

Helal F. Hetta, Israa M. S. Al-Kadmy, Saba Saadoon Khazaal, Suhad Abbas, Ahmed Suhail, Mohamed A. El-Mokhtar, Noura H. Abd Ellah, Esraa A. Ahmed, Rasha B. Abd-ellatief, Eman A. El-Masry, Gaber El-Saber Batiha, Azza A. Elkady, Nahed A. Mohamed, and Abdelazeem M. Algammal

Subjects
Medicine, Science
Abstract

Abstract We aimed to isolate Acinetobacter baumannii (A. baumannii) from wound infections, determine their resistance and virulence profile, and assess the impact of Silver nanoparticles (AgNPs) on the bacterial growth, virulence and biofilm-related gene expression. AgNPs were synthesized and characterized using TEM, XRD and FTIR spectroscopy. A. baumannii (n = 200) were isolated and identified. Resistance pattern was determined and virulence genes (afa/draBC, cnf1, cnf2, csgA, cvaC, fimH, fyuA, ibeA, iutA, kpsMT II, PAI, papC, PapG II, III, sfa/focDE and traT) were screened using PCR. Biofilm formation was evaluated using Microtiter plate method. Then, the antimicrobial activity of AgNPs was evaluated by the well-diffusion method, growth kinetics and MIC determination. Inhibition of biofilm formation and the ability to disperse biofilms in exposure to AgNPs were evaluated. The effect of AgNPs on the expression of virulence and biofilm-related genes (bap, OmpA, abaI, csuA/B, A1S_2091, A1S_1510, A1S_0690, A1S_0114) were estimated using QRT-PCR. In vitro infection model for analyzing the antibacterial activity of AgNPs was done using a co-culture infection model of A. baumannii with human fibroblast skin cell line HFF-1 or Vero cell lines. A. baumannii had high level of resistance to antibiotics. Most of the isolates harbored the fimH, afa/draBC, cnf1, csgA and cnf2, and the majority of A. baumannii produced strong biofilms. AgNPs inhibited the growth of A. baumannii efficiently with MIC ranging from 4 to 25 µg/ml. A. baumannii showed a reduced growth rate in the presence of AgNPs. The inhibitory activity and the anti-biofilm activity of AgNPs were more pronounced against the weak biofilm producers. Moreover, AgNPs decreased the expression of kpsMII , afa/draBC,bap, OmpA, and csuA/B genes. The in vitro infection model revealed a significant antibacterial activity of AgNPs against extracellular and intracellular A. baumannii. AgNPs highly interrupted bacterial multiplication and biofilm formation. AgNPs downregulated the transcription level of important virulence and biofilm-related genes. Our findings provide an additional step towards understanding the mechanisms by which sliver nanoparticles interfere with the microbial spread and persistence.

Published
2021
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48. Molecular and HPLC-based approaches for detection of aflatoxin B1 and ochratoxin A released from toxigenic Aspergillus species in processed meat

Author

Abdelazeem M. Algammal, Mahmoud E. Elsayed, Hany R. Hashem, Hazem Ramadan, Norhan S. Sheraba, Eman M. El-Diasty, Sarah M. Abbas, and Helal F. Hetta

Subjects
A. flavus, A. ochraceus, Meat-products, HPLC, Aflatoxin B1, Ochratoxin A, Gene sequencing, Microbiology, QR1-502
Abstract

Abstract Background Meat-products are considered an enriched media for mycotoxins. This study aimed to investigate the prevalence of toxigenic Aspergillus species in processed meat samples, HPLC-quantitative measurement of aflatoxin B1 and ochratoxin A residues, and molecular sequencing of aflR1 and pks genes. One hundred and twenty processed beef meat specimens (basterma, sausage, and minced meat; n = 40 for each) were collected from Ismailia Province, Egypt. Samples were prepared for total mold count, isolation, and identification of Aspergillus species. All samples were analyzed for the production of both Aflatoxin B1 and Ochratoxin A mycotoxins by HPLC. Molecular identification of Aspergillus flavus and Aspergillus ochraceus was performed using PCR amplification of the internal transcribed spacer (ITS) region; furthermore, the aflR1 and pks genes were sequenced. Results The total mold count obtained from sausage samples was the highest one, followed by minced meat samples. The prevalence of A. flavus was (15%), (7.5%), and (10%), while the prevalence of A. ochraceus was (2.5%), (10%), and (0%) in the examined basterma, sausage, and minced meat samples, respectively. Using PCR, the ITS region was successfully amplified in all the tested A. flavus and A. ochraceus strains. Aflatoxin B1 was detected in six basterma samples (15%). Moreover, the ochratoxin A was detected only in four sausage samples (10%). The aflR1 and pks genes were amplified and sequenced successfully and deposited in the GenBank with accession numbers MF694264 and MF694264, respectively. Conclusions To the best of our knowledge, this is the first report concerning the HPLC-Molecular-based approaches for the detection of aflatoxin B1 and ochratoxin A in processed beef meat in Egypt. The production of aflatoxin B1 and ochratoxin A in processed meat constitutes a public health threat. Aflatoxin B1 is commonly associated with basterma samples. Moreover, ochratoxin A was detected frequently in sausage samples. The routine inspection of mycotoxins in processed meat products is essential to protect human consumers.

Published
2021
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49. BCG Vaccine-Induced Trained Immunity and COVID-19: Protective or Bystander?

Author

Koneru G, Batiha GES, Algammal AM, Mabrok M, Magdy S, Sayed S, AbuElmagd ME, Elnemr R, Saad MM, Abd Ellah NH, Hosni A, Muhammad K, and Hetta HF

Subjects
covid-19, bcg vaccine, coronavirus, trained immunity, tuberculosis, Infectious and parasitic diseases, RC109-216
Abstract

Gopala Koneru,1 Gaber El-Saber Batiha,2 Abdelazeem M Algammal,3 Mahmoud Mabrok,4,5 Sara Magdy,6 Shrouk Sayed,6 Mai E AbuElmagd,6 Reham Elnemr,6 Mahmoud M Saad,6 Noura H Abd Ellah,7 Amal Hosni,8 Khalid Muhammad,9,* Helal F Hetta10,11,* 1Department of Medicine, Division of Gastroenterology and Hepatology, Rutger New Jersey Medical School, Rutgers University, New Brunswick, NJ, 07103, USA; 2Department of Pharmacology and Therapeutics, Faculty of Veterinary Medicines, Damanhour University, Damanhur, 22511, Egypt; 3Department of Bacteriology, Immunology, and Mycology, Faculty of Veterinary Medicine, Suez Canal University, Ismailia, 41522, Egypt; 4Department of Fish Diseases and Management, Faculty of Veterinary Medicine, Suez Canal University, Ismailia, 41522, Egypt; 5Fish Infectious Diseases Research Unit (FID RU), Department of Veterinary Microbiology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, 10330, Thailand; 6Faculty of Medicine, Assiut University, Assiut, 71515, Egypt; 7Department of Pharmaceutics, Faculty of Pharmacy, Assiut University, Assiut, 71526, Egypt; 8Department of Clinical Pathology, Faculty of Medicine, Assiut University, Assiut, Egypt; 9Department of Biology, College of Science, United Arab Emirates University, Al Ain, United Arab Emirates; 10Department of Medical Microbiology and Immunology, Faculty of Medicine, Assiut University, Assiut, Egypt; 11Department of Internal Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, 45267, USA*These authors contributed equally to this workCorrespondence: Khalid Muhammad; Helal F Hetta Email k.muhammad@uaeu.ac.ae; helalhetta@aun.edu.egAbstract: In late 2019, a new virulent coronavirus (CoV) emerged in Wuhan, China and was named as severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). This virus spread rapidly, causing the coronavirus disease-2019 (COVID-19) pandemic. Bacillus Calmette–Guérin (BCG) is a live attenuated tuberculosis (TB) vaccine, associated with induction of non-specific cross-protection against unrelated infections. This protection is a memory-like response in innate immune cells (trained immunity), which is caused by epigenetic reprogramming via histone modification in the regulatory elements of specific genes in monocytes. COVID-19 related epidemiological studies showed an inverse relationship between national BCG vaccination policies and COVID-19 incidence and death, suggesting that BCG may induce trained immunity that could confer some protection against SARS-CoV-2. As this pandemic has put most of Earth’s population under quarantine, repurposing of the old, well-characterized BCG may ensure some protection against COVID-19. This review focuses on BCG-related cross-protection and acquisition of trained immunity, as well as the correlation between BCG vaccination and COVID-19 incidence and mortality.Keywords: COVID-19, BCG vaccine, coronavirus, trained immunity, tuberculosis

Published
2021

50. Detection of gyrA and parC Mutations and Prevalence of Plasmid-Mediated Quinolone Resistance Genes in Klebsiella pneumoniae

Author

Kareem SM, Al-kadmy IMS, Kazaal SS, Mohammed Ali AN, Aziz SN, Makharita RR, Algammal AM, Al-Rejaie S, Behl T, Batiha GES, El-Mokhtar MA, and Hetta HF

Subjects
mdr k. pneumoniae, quinolones resistance gene, pmqr., Infectious and parasitic diseases, RC109-216
Abstract

Sawsan Mohammed Kareem,1 Israa MS Al-kadmy,1,2 Saba S Kazaal,1 Alaa N Mohammed Ali,1 Sarah Naji Aziz,1 Rabab R Makharita,3 Abdelazeem M Algammal,4 Salim Al-Rejaie,5 Tapan Behl,6 Gaber El-Saber Batiha,7 Mohamed A El-Mokhtar,8 Helal F Hetta8,9 1Branch of Biotechnology, Department of Biology, College of Science, University of Mustansiriyah, Baghdad, Iraq; 2Faculty of Science & Engineering, School of Engineering, University of Plymouth, Plymouth, PL4 8AA, UK; 3Botany Department, Faculty of Science, Suez Canal University, Ismailia, 41522, Egypt; 4Department of Bacteriology, Immunology and Mycology, Faculty of Veterinary Medicine, Suez Canal University, Ismailia, 41522, Egypt; 5Department of Pharmacology & Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia; 6Chitkara College of Pharmacy, Chitkara University, Rajpura, Punjab, India; 7Department of Pharmacology and Therapeutics, Faculty of Veterinary Medicines, Damanhour University, Damanhour, 22511, Egypt; 8Department of Medical Microbiology and Immunology, Faculty of Medicine, Assiut University, Assiut, 71515, Egypt; 9Department of Internal Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio, USACorrespondence: Helal F HettaUniversity of Cincinnati College of Medicine, Department of Internal Medicine, PO Box 670595, Cincinnati, OH, 45267-0595, USAEmail helal.hetta@uc.eduIsraa MS Al-kadmyFaculty of Science & Engineering, School of Engineering, University of Plymouth, Drake Circus, Plymouth, PL4 8AA, United KingdomEmail israa.al-kadmy@plymouth.ac.ukBackground and Aim: Recently, the extensive use of quinolones led to increased resistance to these antimicrobial agents, with different rates according to the organism and the geographical region. The aim of this study was to detect the resistance rate of Klebsiella pneumoniae Iraqi isolates toward quinolone antimicrobial agents, to determine genetic mutations in gyrA and parC, to screen for efflux-pump activity, and to screen the presence of plasmid-mediated quinolone resistance (PMQR) genes.Methods: Forty-three K. pneumoniae isolates were confirmed phenotypically and genotypically by Vitek 2 system and species specific primers by PCR using the targeting rpo gene followed by sequencing. Antibiotic susceptibility test was carried out using disc diffusion method. Quinolone resistant isolates were subjected to ciprofloxacin MIC testing, and cartwheel method to screen for efflux pump activity. The presence of the plasmid mediated quinolone resistance genes qepA, qnrB, qnrS, and aac(6)Ib was tested by PCR. Sequencing of gyrA and parC was performed.Results: We observed a high rate of resistance to ceftriaxone, gentamicin ciprofloxacin, and levofloxacin. Low rate of resistance was detected against amikacin and azithromycin. Ciprofloxacin MIC results revealed that 96.1% of the isolates had MICs > 256 μg/mL, 83.4% had MICs > 512 μg/mL while 34.6% had MIC > 1024 μg/mL. Testing of isolates against ciprofloxacin mixed with EtBr at various concentrations resulted in decreased resistant. Sequencing results showed that Ser83Leu was the most common mutation in gyrA that was observed in all quinolone resistant isolates, followed by Asp87Asn. Ser80Ile mutation in parC was observed in 77.7% of the tested isolates. The prevalence of PMQR genes was 92.5% aac (6)-Ib, 51.8% qnrB, 40.7% qepA, and 37% qnrS.Conclusion: Quinolone resistance is common in K. pneumoniae isolates in Baghdad. The frequent mutation in gyrA and parC, and the presence of PMQR genes is alarming.Keywords: MDR K. pneumoniae, quinolones resistance gene, PMQR

Published
2021

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