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52. Sex and gender differences in the outcome of patients with COVID‐19.

Author

Falahi, Shahab and Kenarkoohi, Azra

Subjects
COVID-19, GENDER, SEX factors in disease, ANGIOTENSIN converting enzyme
Abstract

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic is a new wave of emerging infections that the world is struggling with. Circulating ACE2 level can act as a contributing factor in determining the disease severity. it is recommended that more studies should be designed and implemented in the area of ACE2 role, protective or damaging, in pathogenesis and outcome of COVID-19 infection. A comparison study of SARS-CoV-2 IgG antibody between male and female COVID-19 patients: a possible reason underlying different outcome between sex. [Extracted from the article]

Published
2021
Full Text
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54. Prediction of hepatitis B virus lamivudine resistance based on YMDD sequence data using an artificial neural network model.

Author

Ravanshad, Mehrdad, Sabahi, Farzaneh, Falahi, Shahab, kenarkoohi, Azra, Amini-Bavil-Olyaee, Samad, Hosseini, Seyed Younes, Madvar, Hossein Riahi, and Khanizade, Sayad

Subjects
*LAMIVUDINE, *ALGORITHMS, *CHRONIC diseases, *COMPUTER simulation, *DRUG resistance, *GENETIC techniques, *HEPATITIS B, *MATHEMATICAL models, *ARTIFICIAL neural networks, *HEALTH outcome assessment, *PATIENTS, *STATISTICS, *SURGERY, *PHENOTYPES, *THEORY, *MULTIPLE regression analysis, *PREDICTIVE validity, *TREATMENT effectiveness, *THERAPEUTICS
Abstract

Background: Hepatitis B virus (HBV) infection is an important health problem worldwide with critical outcomes. The nucleoside analog lamivudine (LMV) is a potent inhibitor of HBV polymer­ase and impedes HBV replication in patients with chronic hepatitis B. Treatment with LMV for long periods causes the appearance and reproduction of drug-resistant strains, rising to more than 40% after 2 years and to over 50% and 70% after 3 and 4 years, respectively.Objectives: Artificial neural networks (ANNs) were used to make predictions with regard to re­sistance phenotypes using biochemical and biophysical features of the YMDD sequence.Patients and Methods: The study population comprised patients who were intended for surgery in various hospitals in Tehran-Iran. An ACRS-PCR method was performed to distinguish muta­tions in the YMDD motif of HBV polymerase. In the training and testing stages, these parameters were used to identify the most promising optimal network. The ideal values of RMSE and MAE are zero, and a value near zero indicates better performance. The selection was performed using statistical accuracy measures, such as root mean square error (RMSE), coefficient of determina­tion (R2), and mean absolute error (MAE). The main purpose of this paper was to develop a new method based on ANNs to simulate HBV drug resistance using the physiochemical properties of the YMDD motif and compare its results with multiple regression models. Results: The results of the MLP in the training stage were 0.8834, 0.07, and 0.09 and 0.8465, 0.160.04 in the testing stage; for the total data, the values were 0.8549, 0.115, and 0.065, respec­tively. The MLP model predicts lamivudine resistance in HBV better than the MLR model. Conclusions: The ANN model can be used as an alternative method of predicting the outcome of HBV therapy. In a case study, the proposed model showed vigorous clusterization of predicted and observed drug responses. The current study was designed to develop an algorithm for pre­dicting drug resistance using chemiophysical data with artificially created neural networks. To this end, an intelligent and multidisciplinary program should be developed on the basis of the information to be gained on the essentials of different applications by similar investigations. This program will help design expert neural network architectures for each application auto­matically. [ABSTRACT FROM AUTHOR]

Published
2011

55. Global mortality associated with 33 bacterial pathogens in 2019

Author

Kevin S Ikuta, Lucien R Swetschinski, Gisela Robles Aguilar, Fablina Sharara, Tomislav Mestrovic, Authia P Gray, Nicole Davis Weaver, Eve E Wool, Chieh Han, Anna Gershberg Hayoon, Amirali Aali, Semagn Mekonnen Abate, Mohsen Abbasi-Kangevari, Zeinab Abbasi-Kangevari, Sherief Abd-Elsalam, Getachew Abebe, Aidin Abedi, Amir Parsa Abhari, Hassan Abidi, Richard Gyan Aboagye, Abdorrahim Absalan, Hiwa Abubaker Ali, Juan Manuel Acuna, Tigist Demssew Adane, Isaac Yeboah Addo, Oyelola A Adegboye, Mohammad Adnan, Qorinah Estiningtyas Sakilah Adnani, Muhammad Sohail Afzal, Saira Afzal, Zahra Babaei Aghdam, Bright Opoku Ahinkorah, Aqeel Ahmad, Araz Ramazan Ahmad, Rizwan Ahmad, Sajjad Ahmad, Sohail Ahmad, Sepideh Ahmadi, Ali Ahmed, Haroon Ahmed, Jivan Qasim Ahmed, Tarik Ahmed Rashid, Marjan Ajami, Budi Aji, Mostafa Akbarzadeh-Khiavi, Chisom Joyqueenet Akunna, Hanadi Al Hamad, Fares Alahdab, Ziyad Al-Aly, Mamoon A Aldeyab, Alicia V Aleman, Fadwa Alhalaiqa Naji Alhalaiqa, Robert Kaba Alhassan, Beriwan Abdulqadir Ali, Liaqat Ali, Syed Shujait Ali, Yousef Alimohamadi, Vahid Alipour, Atiyeh Alizadeh, Syed Mohamed Aljunid, Kasim Allel, Sami Almustanyir, Edward Kwabena Ameyaw, Arianna Maever L Amit, Nivedita Anandavelane, Robert Ancuceanu, Catalina Liliana Andrei, Tudorel Andrei, Dewi Anggraini, Adnan Ansar, Anayochukwu Edward Anyasodor, Jalal Arabloo, Aleksandr Y Aravkin, Demelash Areda, Timur Aripov, Anton A Artamonov, Judie Arulappan, Raphael Taiwo Aruleba, Muhammad Asaduzzaman, Tahira Ashraf, Seyyed Shamsadin Athari, Daniel Atlaw, Sameh Attia, Marcel Ausloos, Tewachew Awoke, Beatriz Paulina Ayala Quintanilla, Tegegn Mulatu Ayana, Sina Azadnajafabad, Amirhossein Azari Jafari, Darshan B B, Muhammad Badar, Ashish D Badiye, Nayereh Baghcheghi, Sara Bagherieh, Atif Amin Baig, Indrajit Banerjee, Aleksandra Barac, Mainak Bardhan, Francesco Barone-Adesi, Hiba Jawdat Barqawi, Amadou Barrow, Pritish Baskaran, Saurav Basu, Abdul-Monim Mohammad Batiha, Neeraj Bedi, Melaku Ashagrie Belete, Uzma Iqbal Belgaumi, Rose G Bender, Bharti Bhandari, Dinesh Bhandari, Pankaj Bhardwaj, Sonu Bhaskar, Krittika Bhattacharyya, Suraj Bhattarai, Saeid Bitaraf, Danilo Buonsenso, Zahid A Butt, Florentino Luciano Caetano dos Santos, Jiao Cai, Daniela Calina, Paulo Camargos, Luis Alberto Cámera, Rosario Cárdenas, Muge Cevik, Joshua Chadwick, Jaykaran Charan, Akhilanand Chaurasia, Patrick R Ching, Sonali Gajanan Choudhari, Enayet Karim Chowdhury, Fazle Rabbi Chowdhury, Dinh-Toi Chu, Isaac Sunday Chukwu, Omid Dadras, Fentaw Teshome Dagnaw, Xiaochen Dai, Saswati Das, Anna Dastiridou, Sisay Abebe Debela, Fitsum Wolde Demisse, Solomon Demissie, Diriba Dereje, Msganaw Derese, Hardik Dineshbhai Desai, Fikadu Nugusu Dessalegn, Samuel Abebe A Dessalegni, Belay Desye, Kartik Dhaduk, Meghnath Dhimal, Sameer Dhingra, Nancy Diao, Daniel Diaz, Shirin Djalalinia, Milad Dodangeh, Deepa Dongarwar, Bezabih Terefe Dora, Fariba Dorostkar, Haneil Larson Dsouza, Eleonora Dubljanin, Susanna J Dunachie, Oyewole Christopher Durojaiye, Hisham Atan Edinur, Habtamu Bekele Ejigu, Michael Ekholuenetale, Temitope Cyrus Ekundayo, Hassan El-Abid, Muhammed Elhadi, Mohamed A Elmonem, Amir Emami, Luchuo Engelbert Bain, Daniel Berhanie Enyew, Ryenchindorj Erkhembayar, Babak Eshrati, Farshid Etaee, Adeniyi Francis Fagbamigbe, Shahab Falahi, Aida Fallahzadeh, Emerito Jose A Faraon, Ali Fatehizadeh, Ginenus Fekadu, João C Fernandes, Allegra Ferrari, Getahun Fetensa, Irina Filip, Florian Fischer, Masoud Foroutan, Peter Andras Gaal, Muktar A Gadanya, Abhay Motiramji Gaidhane, Balasankar Ganesan, Mesfin Gebrehiwot, Reza Ghanbari, Mohammad Ghasemi Nour, Ahmad Ghashghaee, Ali Gholamrezanezhad, Abdolmajid Gholizadeh, Mahaveer Golechha, Pouya Goleij, Davide Golinelli, Amador Goodridge, Damitha Asanga Gunawardane, Yuming Guo, Rajat Das Gupta, Sapna Gupta, Veer Bala Gupta, Vivek Kumar Gupta, Alemu Guta, Parham Habibzadeh, Atlas Haddadi Avval, Rabih Halwani, Asif Hanif, Md. Abdul Hannan, Harapan Harapan, Shoaib Hassan, Hadi Hassankhani, Khezar Hayat, Behzad Heibati, Golnaz Heidari, Mohammad Heidari, Reza Heidari-Soureshjani, Claudiu Herteliu, Demisu Zenbaba Heyi, Kamal Hezam, Praveen Hoogar, Nobuyuki Horita, Md Mahbub Hossain, Mehdi Hosseinzadeh, Mihaela Hostiuc, Sorin Hostiuc, Soodabeh Hoveidamanesh, Junjie Huang, Salman Hussain, Nawfal R Hussein, Segun Emmanuel Ibitoye, Olayinka Stephen Ilesanmi, Irena M Ilic, Milena D Ilic, Mohammad Tarique Imam, Mustapha Immurana, Leeberk Raja Inbaraj, Arnaud Iradukunda, Nahlah Elkudssiah Ismail, Chidozie C D Iwu, Chinwe Juliana Iwu, Linda Merin J, Mihajlo Jakovljevic, Elham Jamshidi, Tahereh Javaheri, Fatemeh Javanmardi, Javad Javidnia, Sathish Kumar Jayapal, Umesh Jayarajah, Rime Jebai, Ravi Prakash Jha, Tamas Joo, Nitin Joseph, Farahnaz Joukar, Jacek Jerzy Jozwiak, Salah Eddine Oussama Kacimi, Vidya Kadashetti, Laleh R Kalankesh, Rohollah Kalhor, Vineet Kumar Kamal, Himal Kandel, Neeti Kapoor, Samad Karkhah, Bekalu Getnet Kassa, Nicholas J Kassebaum, Patrick DMC Katoto, Mohammad Keykhaei, Himanshu Khajuria, Abbas Khan, Imteyaz A Khan, Maseer Khan, Md Nuruzzaman Khan, Moien AB Khan, Moawiah Mohammad Khatatbeh, Mona M Khater, Hamid Reza Khayat Kashani, Jagdish Khubchandani, Hanna Kim, Min Seo Kim, Ruth W Kimokoti, Niranjan Kissoon, Sonali Kochhar, Farzad Kompani, Soewarta Kosen, Parvaiz A Koul, Sindhura Lakshmi Koulmane Laxminarayana, Fiorella Krapp Lopez, Kewal Krishan, Vijay Krishnamoorthy, Vishnutheertha Kulkarni, Naveen Kumar, Om P Kurmi, Ambily Kuttikkattu, Hmwe Hmwe Kyu, Dharmesh Kumar Lal, Judit Lám, Iván Landires, Savita Lasrado, Sang-woong Lee, Jacopo Lenzi, Sonia Lewycka, Shanshan Li, Stephen S Lim, Wei Liu, Rakesh Lodha, Michael J Loftus, Ayush Lohiya, László Lorenzovici, Mojgan Lotfi, Ata Mahmoodpoor, Mansour Adam Mahmoud, Razzagh Mahmoudi, Azeem Majeed, Jamal Majidpoor, Alaa Makki, Galana Ayana Mamo, Yosef Manla, Miquel Martorell, Clara N Matei, Barney McManigal, Entezar Mehrabi Nasab, Ravi Mehrotra, Addisu Melese, Oliver Mendoza-Cano, Ritesh G Menezes, Alexios-Fotios A Mentis, Georgia Micha, Irmina Maria Michalek, Ana Carolina Micheletti Gomide Nogueira de Sá, Neda Milevska Kostova, Shabir Ahmad Mir, Mojgan Mirghafourvand, Seyyedmohammadsadeq Mirmoeeni, Erkin M Mirrakhimov, Mohammad Mirza-Aghazadeh-Attari, Abay Sisay Misganaw, Awoke Misganaw, Sanjeev Misra, Esmaeil Mohammadi, Mokhtar Mohammadi, Abdollah Mohammadian-Hafshejani, Shafiu Mohammed, Syam Mohan, Mohammad Mohseni, Ali H Mokdad, Sara Momtazmanesh, Lorenzo Monasta, Catrin E Moore, Maryam Moradi, Mostafa Moradi Sarabi, Shane Douglas Morrison, Majid Motaghinejad, Haleh Mousavi Isfahani, Amin Mousavi Khaneghah, Seyed Ali Mousavi-Aghdas, Sumaira Mubarik, Francesk Mulita, Getaneh Baye B Mulu, Sandra B Munro, Saravanan Muthupandian, Tapas Sadasivan Nair, Atta Abbas Naqvi, Himanshi Narang, Zuhair S Natto, Muhammad Naveed, Biswa Prakash Nayak, Shumaila Naz, Ionut Negoi, Seyed Aria Nejadghaderi, Sandhya Neupane Kandel, Che Henry Ngwa, Robina Khan Niazi, Antonio Tolentino Nogueira de Sá, Nafise Noroozi, Hasti Nouraei, Ali Nowroozi, Virginia Nuñez-Samudio, Jerry John Nutor, Chimezie Igwegbe Nzoputam, Ogochukwu Janet Nzoputam, Bogdan Oancea, Rahman Md Obaidur, Vivek Anand Ojha, Akinkunmi Paul Okekunle, Osaretin Christabel Okonji, Andrew T Olagunju, Bolajoko Olubukunola Olusanya, Ahmed Omar Bali, Emad Omer, Nikita Otstavnov, Bilcha Oumer, Mahesh P A, Jagadish Rao Padubidri, Keyvan Pakshir, Tamás Palicz, Adrian Pana, Shahina Pardhan, Jose L Paredes, Utsav Parekh, Eun-Cheol Park, Seoyeon Park, Ashish Pathak, Rajan Paudel, Uttam Paudel, Shrikant Pawar, Hamidreza Pazoki Toroudi, Minjin Peng, Umberto Pensato, Veincent Christian Filipino Pepito, Marcos Pereira, Mario F P Peres, Norberto Perico, Ionela-Roxana Petcu, Zahra Zahid Piracha, Indrashis Podder, Nayanum Pokhrel, Ramesh Poluru, Maarten J Postma, Naeimeh Pourtaheri, Akila Prashant, Ibrahim Qattea, Mohammad Rabiee, Navid Rabiee, Amir Radfar, Saber Raeghi, Sima Rafiei, Pankaja Raghav Raghav, Leila Rahbarnia, Vafa Rahimi-Movaghar, Mosiur Rahman, Muhammad Aziz Rahman, Amir Masoud Rahmani, Vahid Rahmanian, Pradhum Ram, Muhammad Modassar Ali Nawaz Ranjha, Sowmya J Rao, Mohammad-Mahdi Rashidi, Azad Rasul, Zubair Ahmed Ratan, Salman Rawaf, Reza Rawassizadeh, Mohammad Sadegh Razeghinia, Elrashdy Moustafa Mohamed Redwan, Misganu Teshoma Regasa, Giuseppe Remuzzi, Melese Abate Reta, Nazila Rezaei, Aziz Rezapour, Abanoub Riad, Rezaul Karim Ripon, Kristina E Rudd, Basema Saddik, Saeid Sadeghian, Umar Saeed, Mohsen Safaei, Azam Safary, Sher Zaman Safi, Maryam Sahebazzamani, Amirhossein Sahebkar, Harihar Sahoo, Saina Salahi, Sarvenaz Salahi, Hedayat Salari, Sana Salehi, Hossein Samadi Kafil, Abdallah M Samy, Nima Sanadgol, Senthilkumar Sankararaman, Francesco Sanmarchi, Brijesh Sathian, Monika Sawhney, Ganesh Kumar Saya, Subramanian Senthilkumaran, Allen Seylani, Pritik A Shah, Masood Ali Shaikh, Elaheh Shaker, Murad Ziyaudinovich Shakhmardanov, Mequannent Melaku Sharew, Athena Sharifi-Razavi, Purva Sharma, Rahim Ali Sheikhi, Ali Sheikhy, Pavanchand H Shetty, Mika Shigematsu, Jae Il Shin, Hesamaddin Shirzad-Aski, K M Shivakumar, Parnian Shobeiri, Seyed Afshin Shorofi, Sunil Shrestha, Migbar Mekonnen Sibhat, Negussie Boti Sidemo, Mustafa Kamal Sikder, Luís Manuel Lopes Rodrigues Silva, Jasvinder A Singh, Paramdeep Singh, Surjit Singh, Md Shahjahan Siraj, Samarjeet Singh Siwal, Valentin Yurievich Skryabin, Anna Aleksandrovna Skryabina, Bogdan Socea, Damtew Damtew Solomon, Yimeng Song, Chandrashekhar T Sreeramareddy, Muhammad Suleman, Rizwan Suliankatchi Abdulkader, Saima Sultana, Miklós Szócska, Seyed-Amir Tabatabaeizadeh, Mohammad Tabish, Majid Taheri, Elahe Taki, Ker-Kan Tan, Sarmila Tandukar, Nathan Y Tat, Vivian Y Tat, Belay Negash Tefera, Yibekal Manaye Tefera, Gebremaryam Temesgen, Mohamad-Hani Temsah, Samar Tharwat, Arulmani Thiyagarajan, Imad I Tleyjeh, Christopher E Troeger, Krishna Kishore Umapathi, Era Upadhyay, Sahel Valadan Tahbaz, Pascual R Valdez, Jef Van den Eynde, H. Rogier van Doorn, Siavash Vaziri, Georgios-Ioannis Verras, Harimadhav Viswanathan, Bay Vo, Abdul Waris, Gizachew Tadesse Wassie, Nuwan Darshana Wickramasinghe, Sajad Yaghoubi, Gahin Abdulraheem Tayib Yahya Yahya, Seyed Hossein Yahyazadeh Jabbari, Arzu Yigit, Vahit Yiğit, Dong Keon Yon, Naohiro Yonemoto, Mazyar Zahir, Burhan Abdullah Zaman, Sojib Bin Zaman, Moein Zangiabadian, Iman Zare, Mikhail Sergeevich Zastrozhin, Zhi-Jiang Zhang, Peng Zheng, Chenwen Zhong, Mohammad Zoladl, Alimuddin Zumla, Simon I Hay, Christiane Dolecek, Benn Sartorius, Christopher J L Murray, Mohsen Naghavi, Ikuta, Kevin S, Swetschinski, Lucien R, Robles Aguilar, Gisela, Sharara, Fablina, Mestrovic, Tomislav, Gray, Authia P, Davis Weaver, Nicole, Wool, Eve E, Han, Chieh, Gershberg Hayoon, Anna, Aali, Amirali, Abate, Semagn Mekonnen, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abd-Elsalam, Sherief, Abebe, Getachew, Abedi, Aidin, Abhari, Amir Parsa, Abidi, Hassan, Aboagye, Richard Gyan, Absalan, Abdorrahim, Abubaker Ali, Hiwa, Acuna, Juan Manuel, Adane, Tigist Demssew, Addo, Isaac Yeboah, Adegboye, Oyelola A, Adnan, Mohammad, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Muhammad Sohail, Afzal, Saira, Aghdam, Zahra Babaei, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Araz Ramazan, Ahmad, Rizwan, Ahmad, Sajjad, Ahmad, Sohail, Ahmadi, Sepideh, Ahmed, Ali, Ahmed, Haroon, Ahmed, Jivan Qasim, Ahmed Rashid, Tarik, Ajami, Marjan, Aji, Budi, Akbarzadeh-Khiavi, Mostafa, Akunna, Chisom Joyqueenet, Al Hamad, Hanadi, Alahdab, Fare, Al-Aly, Ziyad, Aldeyab, Mamoon A, Aleman, Alicia V, Alhalaiqa, Fadwa Alhalaiqa Naji, Alhassan, Robert Kaba, Ali, Beriwan Abdulqadir, Ali, Liaqat, Ali, Syed Shujait, Alimohamadi, Yousef, Alipour, Vahid, Alizadeh, Atiyeh, Aljunid, Syed Mohamed, Allel, Kasim, Almustanyir, Sami, Ameyaw, Edward Kwabena, Amit, Arianna Maever L, Anandavelane, Nivedita, Ancuceanu, Robert, Andrei, Catalina Liliana, Andrei, Tudorel, Anggraini, Dewi, Ansar, Adnan, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Aravkin, Aleksandr Y, Areda, Demelash, Aripov, Timur, Artamonov, Anton A, Arulappan, Judie, Aruleba, Raphael Taiwo, Asaduzzaman, Muhammad, Ashraf, Tahira, Athari, Seyyed Shamsadin, Atlaw, Daniel, Attia, Sameh, Ausloos, Marcel, Awoke, Tewachew, Ayala Quintanilla, Beatriz Paulina, Ayana, Tegegn Mulatu, Azadnajafabad, Sina, Azari Jafari, Amirhossein, B, Darshan B, Badar, Muhammad, Badiye, Ashish D, Baghcheghi, Nayereh, Bagherieh, Sara, Baig, Atif Amin, Banerjee, Indrajit, Barac, Aleksandra, Bardhan, Mainak, Barone-Adesi, Francesco, Barqawi, Hiba Jawdat, Barrow, Amadou, Baskaran, Pritish, Basu, Saurav, Batiha, Abdul-Monim Mohammad, Bedi, Neeraj, Belete, Melaku Ashagrie, Belgaumi, Uzma Iqbal, Bender, Rose G, Bhandari, Bharti, Bhandari, Dinesh, Bhardwaj, Pankaj, Bhaskar, Sonu, Bhattacharyya, Krittika, Bhattarai, Suraj, Bitaraf, Saeid, Buonsenso, Danilo, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Cai, Jiao, Calina, Daniela, Camargos, Paulo, Cámera, Luis Alberto, Cárdenas, Rosario, Cevik, Muge, Chadwick, Joshua, Charan, Jaykaran, Chaurasia, Akhilanand, Ching, Patrick R, Choudhari, Sonali Gajanan, Chowdhury, Enayet Karim, Chowdhury, Fazle Rabbi, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Dadras, Omid, Dagnaw, Fentaw Teshome, Dai, Xiaochen, Das, Saswati, Dastiridou, Anna, Debela, Sisay Abebe, Demisse, Fitsum Wolde, Demissie, Solomon, Dereje, Diriba, Derese, Msganaw, Desai, Hardik Dineshbhai, Dessalegn, Fikadu Nugusu, Dessalegni, Samuel Abebe A, Desye, Belay, Dhaduk, Kartik, Dhimal, Meghnath, Dhingra, Sameer, Diao, Nancy, Diaz, Daniel, Djalalinia, Shirin, Dodangeh, Milad, Dongarwar, Deepa, Dora, Bezabih Terefe, Dorostkar, Fariba, Dsouza, Haneil Larson, Dubljanin, Eleonora, Dunachie, Susanna J, Durojaiye, Oyewole Christopher, Edinur, Hisham Atan, Ejigu, Habtamu Bekele, Ekholuenetale, Michael, Ekundayo, Temitope Cyru, El-Abid, Hassan, Elhadi, Muhammed, Elmonem, Mohamed A, Emami, Amir, Engelbert Bain, Luchuo, Enyew, Daniel Berhanie, Erkhembayar, Ryenchindorj, Eshrati, Babak, Etaee, Farshid, Fagbamigbe, Adeniyi Franci, Falahi, Shahab, Fallahzadeh, Aida, Faraon, Emerito Jose A, Fatehizadeh, Ali, Fekadu, Ginenu, Fernandes, João C, Ferrari, Allegra, Fetensa, Getahun, Filip, Irina, Fischer, Florian, Foroutan, Masoud, Gaal, Peter Andra, Gadanya, Muktar A, Gaidhane, Abhay Motiramji, Ganesan, Balasankar, Gebrehiwot, Mesfin, Ghanbari, Reza, Ghasemi Nour, Mohammad, Ghashghaee, Ahmad, Gholamrezanezhad, Ali, Gholizadeh, Abdolmajid, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Goodridge, Amador, Gunawardane, Damitha Asanga, Guo, Yuming, Gupta, Rajat Da, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Guta, Alemu, Habibzadeh, Parham, Haddadi Avval, Atla, Halwani, Rabih, Hanif, Asif, Hannan, Md. Abdul, Harapan, Harapan, Hassan, Shoaib, Hassankhani, Hadi, Hayat, Khezar, Heibati, Behzad, Heidari, Golnaz, Heidari, Mohammad, Heidari-Soureshjani, Reza, Herteliu, Claudiu, Heyi, Demisu Zenbaba, Hezam, Kamal, Hoogar, Praveen, Horita, Nobuyuki, Hossain, Md Mahbub, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hoveidamanesh, Soodabeh, Huang, Junjie, Hussain, Salman, Hussein, Nawfal R, Ibitoye, Segun Emmanuel, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Imam, Mohammad Tarique, Immurana, Mustapha, Inbaraj, Leeberk Raja, Iradukunda, Arnaud, Ismail, Nahlah Elkudssiah, Iwu, Chidozie C D, Iwu, Chinwe Juliana, J, Linda Merin, Jakovljevic, Mihajlo, Jamshidi, Elham, Javaheri, Tahereh, Javanmardi, Fatemeh, Javidnia, Javad, Jayapal, Sathish Kumar, Jayarajah, Umesh, Jebai, Rime, Jha, Ravi Prakash, Joo, Tama, Joseph, Nitin, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Kacimi, Salah Eddine Oussama, Kadashetti, Vidya, Kalankesh, Laleh R, Kalhor, Rohollah, Kamal, Vineet Kumar, Kandel, Himal, Kapoor, Neeti, Karkhah, Samad, Kassa, Bekalu Getnet, Kassebaum, Nicholas J, Katoto, Patrick DMC, Keykhaei, Mohammad, Khajuria, Himanshu, Khan, Abba, Khan, Imteyaz A, Khan, Maseer, Khan, Md Nuruzzaman, Khan, Moien AB, Khatatbeh, Moawiah Mohammad, Khater, Mona M, Khayat Kashani, Hamid Reza, Khubchandani, Jagdish, Kim, Hanna, Kim, Min Seo, Kimokoti, Ruth W, Kissoon, Niranjan, Kochhar, Sonali, Kompani, Farzad, Kosen, Soewarta, Koul, Parvaiz A, Koulmane Laxminarayana, Sindhura Lakshmi, Krapp Lopez, Fiorella, Krishan, Kewal, Krishnamoorthy, Vijay, Kulkarni, Vishnutheertha, Kumar, Naveen, Kurmi, Om P, Kuttikkattu, Ambily, Kyu, Hmwe Hmwe, Lal, Dharmesh Kumar, Lám, Judit, Landires, Iván, Lasrado, Savita, Lee, Sang-woong, Lenzi, Jacopo, Lewycka, Sonia, Li, Shanshan, Lim, Stephen S, Liu, Wei, Lodha, Rakesh, Loftus, Michael J, Lohiya, Ayush, Lorenzovici, László, Lotfi, Mojgan, Mahmoodpoor, Ata, Mahmoud, Mansour Adam, Mahmoudi, Razzagh, Majeed, Azeem, Majidpoor, Jamal, Makki, Alaa, Mamo, Galana Ayana, Manla, Yosef, Martorell, Miquel, Matei, Clara N, McManigal, Barney, Mehrabi Nasab, Entezar, Mehrotra, Ravi, Melese, Addisu, Mendoza-Cano, Oliver, Menezes, Ritesh G, Mentis, Alexios-Fotios A, Micha, Georgia, Michalek, Irmina Maria, Micheletti Gomide Nogueira de Sá, Ana Carolina, Milevska Kostova, Neda, Mir, Shabir Ahmad, Mirghafourvand, Mojgan, Mirmoeeni, Seyyedmohammadsadeq, Mirrakhimov, Erkin M, Mirza-Aghazadeh-Attari, Mohammad, Misganaw, Abay Sisay, Misganaw, Awoke, Misra, Sanjeev, Mohammadi, Esmaeil, Mohammadi, Mokhtar, Mohammadian-Hafshejani, Abdollah, Mohammed, Shafiu, Mohan, Syam, Mohseni, Mohammad, Mokdad, Ali H, Momtazmanesh, Sara, Monasta, Lorenzo, Moore, Catrin E, Moradi, Maryam, Moradi Sarabi, Mostafa, Morrison, Shane Dougla, Motaghinejad, Majid, Mousavi Isfahani, Haleh, Mousavi Khaneghah, Amin, Mousavi-Aghdas, Seyed Ali, Mubarik, Sumaira, Mulita, Francesk, Mulu, Getaneh Baye B, Munro, Sandra B, Muthupandian, Saravanan, Nair, Tapas Sadasivan, Naqvi, Atta Abba, Narang, Himanshi, Natto, Zuhair S, Naveed, Muhammad, Nayak, Biswa Prakash, Naz, Shumaila, Negoi, Ionut, Nejadghaderi, Seyed Aria, Neupane Kandel, Sandhya, Ngwa, Che Henry, Niazi, Robina Khan, Nogueira de Sá, Antonio Tolentino, Noroozi, Nafise, Nouraei, Hasti, Nowroozi, Ali, Nuñez-Samudio, Virginia, Nutor, Jerry John, Nzoputam, Chimezie Igwegbe, Nzoputam, Ogochukwu Janet, Oancea, Bogdan, Obaidur, Rahman Md, Ojha, Vivek Anand, Okekunle, Akinkunmi Paul, Okonji, Osaretin Christabel, Olagunju, Andrew T, Olusanya, Bolajoko Olubukunola, Omar Bali, Ahmed, Omer, Emad, Otstavnov, Nikita, Oumer, Bilcha, P A, Mahesh, Padubidri, Jagadish Rao, Pakshir, Keyvan, Palicz, Tamá, Pana, Adrian, Pardhan, Shahina, Paredes, Jose L, Parekh, Utsav, Park, Eun-Cheol, Park, Seoyeon, Pathak, Ashish, Paudel, Rajan, Paudel, Uttam, Pawar, Shrikant, Pazoki Toroudi, Hamidreza, Peng, Minjin, Pensato, Umberto, Pepito, Veincent Christian Filipino, Pereira, Marco, Peres, Mario F P, Perico, Norberto, Petcu, Ionela-Roxana, Piracha, Zahra Zahid, Podder, Indrashi, Pokhrel, Nayanum, Poluru, Ramesh, Postma, Maarten J, Pourtaheri, Naeimeh, Prashant, Akila, Qattea, Ibrahim, Rabiee, Mohammad, Rabiee, Navid, Radfar, Amir, Raeghi, Saber, Rafiei, Sima, Raghav, Pankaja Raghav, Rahbarnia, Leila, Rahimi-Movaghar, Vafa, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmani, Amir Masoud, Rahmanian, Vahid, Ram, Pradhum, Ranjha, Muhammad Modassar Ali Nawaz, Rao, Sowmya J, Rashidi, Mohammad-Mahdi, Rasul, Azad, Ratan, Zubair Ahmed, Rawaf, Salman, Rawassizadeh, Reza, Razeghinia, Mohammad Sadegh, Redwan, Elrashdy Moustafa Mohamed, Regasa, Misganu Teshoma, Remuzzi, Giuseppe, Reta, Melese Abate, Rezaei, Nazila, Rezapour, Aziz, Riad, Abanoub, Ripon, Rezaul Karim, Rudd, Kristina E, Saddik, Basema, Sadeghian, Saeid, Saeed, Umar, Safaei, Mohsen, Safary, Azam, Safi, Sher Zaman, Sahebazzamani, Maryam, Sahebkar, Amirhossein, Sahoo, Harihar, Salahi, Saina, Salahi, Sarvenaz, Salari, Hedayat, Salehi, Sana, Samadi Kafil, Hossein, Samy, Abdallah M, Sanadgol, Nima, Sankararaman, Senthilkumar, Sanmarchi, Francesco, Sathian, Brijesh, Sawhney, Monika, Saya, Ganesh Kumar, Senthilkumaran, Subramanian, Seylani, Allen, Shah, Pritik A, Shaikh, Masood Ali, Shaker, Elaheh, Shakhmardanov, Murad Ziyaudinovich, Sharew, Mequannent Melaku, Sharifi-Razavi, Athena, Sharma, Purva, Sheikhi, Rahim Ali, Sheikhy, Ali, Shetty, Pavanchand H, Shigematsu, Mika, Shin, Jae Il, Shirzad-Aski, Hesamaddin, Shivakumar, K M, Shobeiri, Parnian, Shorofi, Seyed Afshin, Shrestha, Sunil, Sibhat, Migbar Mekonnen, Sidemo, Negussie Boti, Sikder, Mustafa Kamal, Silva, Luís Manuel Lopes Rodrigue, Singh, Jasvinder A, Singh, Paramdeep, Singh, Surjit, Siraj, Md Shahjahan, Siwal, Samarjeet Singh, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Socea, Bogdan, Solomon, Damtew Damtew, Song, Yimeng, Sreeramareddy, Chandrashekhar T, Suleman, Muhammad, Suliankatchi Abdulkader, Rizwan, Sultana, Saima, Szócska, Mikló, Tabatabaeizadeh, Seyed-Amir, Tabish, Mohammad, Taheri, Majid, Taki, Elahe, Tan, Ker-Kan, Tandukar, Sarmila, Tat, Nathan Y, Tat, Vivian Y, Tefera, Belay Negash, Tefera, Yibekal Manaye, Temesgen, Gebremaryam, Temsah, Mohamad-Hani, Tharwat, Samar, Thiyagarajan, Arulmani, Tleyjeh, Imad I, Troeger, Christopher E, Umapathi, Krishna Kishore, Upadhyay, Era, Valadan Tahbaz, Sahel, Valdez, Pascual R, Van den Eynde, Jef, van Doorn, H. Rogier, Vaziri, Siavash, Verras, Georgios-Ioanni, Viswanathan, Harimadhav, Vo, Bay, Waris, Abdul, Wassie, Gizachew Tadesse, Wickramasinghe, Nuwan Darshana, Yaghoubi, Sajad, Yahya, Gahin Abdulraheem Tayib Yahya, Yahyazadeh Jabbari, Seyed Hossein, Yigit, Arzu, Yiğit, Vahit, Yon, Dong Keon, Yonemoto, Naohiro, Zahir, Mazyar, Zaman, Burhan Abdullah, Zaman, Sojib Bin, Zangiabadian, Moein, Zare, Iman, Zastrozhin, Mikhail Sergeevich, Zhang, Zhi-Jiang, Zheng, Peng, Zhong, Chenwen, Zoladl, Mohammad, Zumla, Alimuddin, Hay, Simon I, Dolecek, Christiane, Sartorius, Benn, Murray, Christopher J L, and Naghavi, Mohsen

Subjects
Male, Bacteria, Syndrome, Bacterial Infections, General Medicine, Global Health, Global Burden of Disease, Risk Factors, Sepsis, Humans, Female, Mortality, Child, Africa South of the Sahara
Abstract

Background: Reducing the burden of death due to infection is an urgent global public health priority. Previous studies have estimated the number of deaths associated with drug-resistant infections and sepsis and found that infections remain a leading cause of death globally. Understanding the global burden of common bacterial pathogens (both susceptible and resistant to antimicrobials) is essential to identify the greatest threats to public health. To our knowledge, this is the first study to present global comprehensive estimates of deaths associated with 33 bacterial pathogens across 11 major infectious syndromes. Methods: We estimated deaths associated with 33 bacterial genera or species across 11 infectious syndromes in 2019 using methods from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, in addition to a subset of the input data described in the Global Burden of Antimicrobial Resistance 2019 study. This study included 343 million individual records or isolates covering 11 361 study-location-years. We used three modelling steps to estimate the number of deaths associated with each pathogen: deaths in which infection had a role, the fraction of deaths due to infection that are attributable to a given infectious syndrome, and the fraction of deaths due to an infectious syndrome that are attributable to a given pathogen. Estimates were produced for all ages and for males and females across 204 countries and territories in 2019. 95% uncertainty intervals (UIs) were calculated for final estimates of deaths and infections associated with the 33 bacterial pathogens following standard GBD methods by taking the 2·5th and 97·5th percentiles across 1000 posterior draws for each quantity of interest. Findings: From an estimated 13·7 million (95% UI 10·9–17·1) infection-related deaths in 2019, there were 7·7 million deaths (5·7–10·2) associated with the 33 bacterial pathogens (both resistant and susceptible to antimicrobials) across the 11 infectious syndromes estimated in this study. We estimated deaths associated with the 33 bacterial pathogens to comprise 13·6% (10·2–18·1) of all global deaths and 56·2% (52·1–60·1) of all sepsis-related deaths in 2019. Five leading pathogens—Staphylococcus aureus, Escherichia coli, Streptococcus pneumoniae, Klebsiella pneumoniae, and Pseudomonas aeruginosa—were responsible for 54·9% (52·9–56·9) of deaths among the investigated bacteria. The deadliest infectious syndromes and pathogens varied by location and age. The age-standardised mortality rate associated with these bacterial pathogens was highest in the sub-Saharan Africa super-region, with 230 deaths (185–285) per 100 000 population, and lowest in the high-income super-region, with 52·2 deaths (37·4–71·5) per 100 000 population. S aureus was the leading bacterial cause of death in 135 countries and was also associated with the most deaths in individuals older than 15 years, globally. Among children younger than 5 years, S pneumoniae was the pathogen associated with the most deaths. In 2019, more than 6 million deaths occurred as a result of three bacterial infectious syndromes, with lower respiratory infections and bloodstream infections each causing more than 2 million deaths and peritoneal and intra-abdominal infections causing more than 1 million deaths. Interpretation: The 33 bacterial pathogens that we investigated in this study are a substantial source of health loss globally, with considerable variation in their distribution across infectious syndromes and locations. Compared with GBD Level 3 underlying causes of death, deaths associated with these bacteria would rank as the second leading cause of death globally in 2019; hence, they should be considered an urgent priority for intervention within the global health community. Strategies to address the burden of bacterial infections include infection prevention, optimised use of antibiotics, improved capacity for microbiological analysis, vaccine development, and improved and more pervasive use of available vaccines. These estimates can be used to help set priorities for vaccine need, demand, and development. Funding: Bill & Melinda Gates Foundation, Wellcome Trust, and Department of Health and Social Care, using UK aid funding managed by the Fleming Fund.

Published
2022

56. COVID-19 Mass Vaccination and Flu Season: Concern for Decreased Public Health Measures and Worsening the Influenza Situation.

Author

Kenarkoohi A, Mohamadi J, Pakzad I, Sayyadi H, and Falahi S

Subjects
Humans, Child, Seasons, Mass Vaccination, Public Health, COVID-19 Vaccines, Commerce, Internationality, Vaccination, Influenza, Human epidemiology, Influenza, Human prevention & control, COVID-19 epidemiology, COVID-19 prevention & control, Influenza Vaccines
Abstract

Reports show that other ordinary childhood infections like measles or influenza are likely to reemerge. The re-emergence of infectious diseases may happen due to the direct impact of the pandemic on the community because of decreased access to health and medical services, interrupted transport systems, weaknesses in the supply chain, flight restrictions, closings of the border, and international trade problems. The most prevalent cause (60.9%) for low vaccine uptake and coverage during the current pandemic was fear of exposure to the COVID-19 virus outside the home. The expectation and hope that the pattern of reduction in transmission and number of influenza cases will continue over the next flu season depend on continued adherence to nonpharmaceutical interventions and their long-term application. But there is always the fear and threat of increasing the spread of influenza by reducing the movement restrictions and low adherence to protective health measures due to vaccination. So far, not much information has been published about the interaction between different infectious diseases in the background of the coronavirus pandemic and related interventions. The purpose of this article is to examine the general effects of the COVID-19 vaccination on the spread of influenza in the coming seasons., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Published
2023
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57. Sufficient Sleep, Time of Vaccination, and Vaccine Efficacy: A Systematic Review of the Current Evidence and a Proposal for COVID-19 Vaccination.

Author

Rayatdoost E, Rahmanian M, Sanie MS, Rahmanian J, Matin S, Kalani N, Kenarkoohi A, Falahi S, and Abdoli A

Subjects
COVID-19 Vaccines, Humans, SARS-CoV-2, Sleep, Vaccination, COVID-19 prevention & control, Influenza Vaccines, Influenza, Human
Abstract

Introduction : The emergence of the novel Coronavirus Disease 2019 (COVID-19) sparked an unprecedented effort to develop effective vaccines against the disease. Some factors may boost the vaccine efficacy, including sufficient sleep and morning vaccination. We aimed to conduct a rapid systematic review to summarize data regarding the association between sleep and time of vaccination with immunity after vaccination. Materials and Methods : The systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, and three databases (PubMed, Web of Science, and Scopus) were searched up to March 12, 2022. Results : Eight studies were included regarding the sleep and immune response after vaccination, of them, five studies were on influenza, two studies on hepatitis A (HAV), and one study on hepatitis B. Accordingly, six out of eight studies found a positive correlation between sleep and immune response after vaccination. Regarding the time of vaccination, seven studies were eligible to be included (two studies on influenza, one study on HAV and influenza, one study on BCG, one study on hexavalent vaccine, and two studies on SARS-CoV-2 vaccine). Among them, four out of seven studies (including a study on SARS-CoV-2 inactivated vaccine) reported the priorities of morning versus afternoon vaccination regarding antibody production and immune response after vaccination. Conclusion : Taken together, cumulative evidence suggests that sufficient sleep and vaccination in the morning could enhance the immune response after vaccination. Hence, modulating the time of vaccination and sufficient sleep could a be simple and applicable strategy for increasing vaccine efficacy. Future studies could be performed with SARS-CoV-2 vaccines to investigate the effects of time of vaccination and sufficient sleep on COVID-19 vaccine efficacy., (Copyright ©2022, Yale Journal of Biology and Medicine.)

Published
2022

58. COVID-19 Vaccination, Peltzman Effect and Possible Increase in Highrisk Behaviors: A Growing Concern Related to Risk Compensation and Reduced Compliance to Public Health Protective Measures after Vaccines Rollout.

Author

Falahi S, Mohamadi J, Sayyadi H, Pakzad I, Rashidi A, Naserifar R, Abdi J, and Kenarkoohi A

Abstract

The world is still faced with widespread dissemination and many unanswered questions related to Coronavirus disease (COVID-19). Several candidate vaccines have been introduced against COVID-19, mostly requiring the injection of two doses and some with nearly 90-95% efficacy. All strategies against the spread of infection have focused on breaking the chain of virus transmission through protective public health measures and mass vaccination. The current situation emphasizes the global need for carefully designed policies to maximize vaccine access and uptake. The risk compensation theory (Peltzman Effect) states that the decrease in perceived risk through access to preventive measures may lead to increasing frequency of risky behaviors. The current pandemic has exposed people to the sense of risk compensation and behavior change in response to the perceived risk. Risk compensation phenomenon may significantly reverse the benefits of COVID-19 vaccination, especially if the vaccine is not sufficiently effective in real life or among high-risk populations. Recognition and awareness of Peltzman risk compensation are of high importance in counteracting and neutralizing the false complacency of the community, which also lends more weight to public health efforts. The public health messages and practices should be clearly expressed, straightforward, reliable and applicable. It is important to encourage mass vaccination of the population, and other NPIs must be re-established and implemented to ensure education to live with COVID-19 in parallel with daily activities and job tasks., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Published
2022
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59. An Updated Review on Complicated Mechanisms of COVID-19 Pathogenesis and Therapy: Direct Viral Damage, Renin-angiotensin System Dysregulation, Immune System Derangements, and Endothelial Dysfunction.

Author

Falahi S, Maleki M, and Kenarkoohi A

Abstract

SARS-CoV-2 was reported as the cause of coronavirus disease 2019 (COVID-19) in late December 2019. According to sequencing and phylogenetic studies, the new virus belongs to Coronaviridae family and Betacoronavirus genus. Genomic sequence analysis has shown SARS-CoV-2 to be similar to SARS. SARS-CoV-2 is more infectious, and the high level of COVID-19 community transmission has led to a growing pandemic. Although infections in most patients with COVID-19 are moderate or mild, 20% of the patients develop a severe or critical form of the disease. COVID-19 may affect a wide range of organs and tissues, including the respiratory system, digestive system, nervous system, and skin. Patients with COVID-19 have been confirmed to have renal, cardiovascular, gastrointestinal, and nervous system problems in addition to pulmonary involvement. The pathogenesis of SARS-CoV-2 is being investigated, but it is possible that the organ damage might in part be caused by direct viral damage (detection of inclusion bodies in tissues, such as the kidneys), dysregulation of the immune system, renin-angiotensin system, bradykinin pathway, and coagulation, as well as host genetic factors and their polymorphisms, which may affect the disease severity. In this review, an update on the possible pathogenesis pathways of COVID-19 has been provided. It is hoped that the best care strategy will be developed for patients with COVID-19 by identifying its pathogenesis pathways., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Published
2022
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60. Seroprevalence of Hepatitis E Virus Infection Among Pregnant Women in Ilam, West of Iran.

Author

Kenarkoohi A, Falahi S, Ghelijie F, and Mirzaei A

Subjects
Adult, Female, Humans, Immunoglobulin G, Immunoglobulin M, Iran epidemiology, Pregnancy, Pregnant Women, Seroepidemiologic Studies, Hepatitis E epidemiology, Hepatitis E virus, Pregnancy Complications, Infectious epidemiology
Abstract

Introduction: Hepatitis E infection is commonly known as acute and self-limiting hepatitis, and therefore, less attention is paid to it, whereas hepatitis E virus is a major cause of fulminant hepatitis in pregnant women and its infection during pregnancy is associated with maternal and fetal mortality. The prevalence of anti-HEV antibodies in pregnant women in Ilam city is unknown. The aim of the present study was to investigate the prevalence of anti-HEV total and anti- HEV IgM antibodies among pregnant women in this area., Materials and Methods: A total of 420 serum samples were collected between March 2018 and September 2019 from pregnant women, with a mean age of 29.61 years, ranging from 19 to 47 years, referred to Ilam health centers, West of Iran. Demographic data, including age and place of residence, were collected from patient records. The titers of anti-HEV total and anti-HEV IgM antibodies were measured by the ELISA method. The association between the prevalence of hepatitis E antibody and age and place of residence variables was evaluated by the chi-square test. Statistical analysis was performed using SPSS version 20., Results: In total, 18 of the 420 participants (4.3%) were positive for anti-HEV total, while 2 (0/47%) tested positive for anti-HEV immunoglobulins M (IgM). Anti-HEV status had no statistically significant association with age and place of residence., Conclusion: The seroprevalence rate of HEV infection among pregnant women in Ilam city is relatively low. Considering that seronegative pregnant women are at risk of acquiring HEV, it is recommended that pregnant women be educated to avoid sources of HEV infection., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Published
2021
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61. HSV-TK Expressing Mesenchymal Stem Cells Exert Inhibitory Effect on Cervical Cancer Model.

Author

Kenarkoohi A, Bamdad T, Soleimani M, Soleimanjahi H, Fallah A, and Falahi S

Abstract

A growing area of research is focused on cancer therapy, and new therapeutic approaches are welcomed. Mesenchymal stem cell (MSC)-based gene therapy is a promising strategy in oncology. Intrinsic tropism and migration to tumor microenvironment with off lights are attractive features of this type of cell carrier. In this way, suicide genes have also found a good platform for better performance and have shown a stronger anti-tumor mechanism by riding on mesenchymal cells. In this study, we investigated the anti-tumor activity of intratumoral injected MSCs transduced with a lentivector expressing the HSV/TK in a mouse cervical cancer model. Following the injection of MSCs transduced with lentivector carrying TK, MSCs alone or PBS into the mice tumor, ganciclovir was administered intraperitoneally during 14 days, and tumor size, survival time, natural killer (NK) cells and cytotoxic T lymphocyte (CTL) activities were assessed. We demonstrated that combination of suicide therapy and cell therapy leading m,to successful tumor inhibition. Significant reduction in tumor size was detected in test group in comparison with controls. Also, potent antitumor NK and CTL activity was seen in treatment group in comparison with controls. Our data demonstrated that the mesenchymal cells expressing TK had inhibitory effect on cervical cancer model.

Published
2020
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