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1. High incidence of multidrug-resistant Escherichia coli coharboring mcr-1 and blaCTX-M-15 recovered from pigs

Author

Shafiq M, Huang J, Ur Rahman S, Shah JM, Chen L, Gao Y, Wang M, and Wang L

Subjects
E. coli, colistin, mcr-1, ESBL, co-existence, Infectious and parasitic diseases, RC109-216
Abstract

Muhammad Shafiq,1 Jinhu Huang,1 Sadeeq Ur Rahman,2 Jan Mohammad Shah,1 Li Chen,1 Yi Gao,1 Mengli Wang,1 Liping Wang11Moe Joint International Research Laboratory of Animal Health and Food Safety, Laboratory of Veterinary Pharmacology and Toxicology, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, People’s Republic of China; 2College of Veterinary Sciences and Animal Husbandry, Section Microbiology, Abdul Wali Khan University, Mardan, KP, PakistanPurpose: The coexistence of mobile colistin (COL)-resistant gene mcr-1 with extended-spectrum beta-lactamase (ESBL) gene in Escherichia coli has become a serious threat globally. The aim of this study was to investigate the increasing resistance to COL and in particular its coexistence with ESBL-producing E. coli recovered from pig farms in China.Materials and methods: E. coli were isolated from 14 pig farms in Jiangsu China. Susceptibility testing was identified by micro-dilution method. PCR assay and nucleotide sequencing were used to detect COL-resistant genes, mcr-1 to −5, as well as ESBL genes, blaCTX-M, blaSHV and blaTEM. Conjugation experiment, plasmid replicon typing of the multidrug resistance (MDR), S1-PFGE and DNA southern hybridization were performed to study the transferability of these genes.Results: Overall, 275 E. coli isolates were recovered from a total of 432 cloacal and nasal swabs. More than 90% of the isolates were MDR, of which 70.18% were resistant to COL. Of these 275 isolates, mcr-1 was identified as the most predominant gene carried by 71.63% (197/275) of isolates, 39.59% (78/197) of the isolates were harboring both mcr-1 and ESBL genes (blaCTX-M, blaSHV and blaTEM). ESBL genotyping showed that blaCTX-M was the most predominant ESBL (68.49%) followed by blaSHV (16.4%) and blaTEM (15%). Sequencing revealed that the most common variants of blaCTX-M identified were, blaCTX-M-15 (69%), blaCTX-M-55 (29%) and blaCTX-M-1 (1.8%). IncHI2, IncFIB, IncFIC, IncN and IncX4 were found to be the most common Inc-types found both in donors and in transconjugants and were associated with the transfer of the mcr-1 and ESBL encoding genes. Six strains carried a total of five different plasmids: approximately 97-, 130-, 160-, 227- and 242-kb plasmids.Conclusion: The coexistence of the mcr-1- and blaCTX-M-15-carrying isolates displaying high MDR, recovered from E. coli of pig origin, is a major concern for both humans and veterinary medicine.Keywords: E. coli, colistin, mcr-1, ESBL, coexistence

Published
2019

2. Class attendance and cardiology examination performance: a study in problem-based medical curriculum

Author

Bamuhair SS, Al Farhan AI, Althubaiti A, ur Rahman S, and Al-Kadri HM

Subjects
Class attendance, academic performance, problem-based learning, Medicine (General), R5-920
Abstract

Samira S Bamuhair,1 Ali I Al Farhan,1,2 Alaa Althubaiti,1 Saeed ur Rahman,1,2 Hanan M Al-Kadri1,3 1College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, 2Department of Family Medicine and Primary Health Care, 3Department of Obstetrics and Gynecology, King Abdulaziz Medical City, Riyadh, Saudi Arabia Background and aims: Information on the effect of students' class attendance on examination performance in a problem-based learning medical curriculum is limited. This study investigates the impact of different educational activities on students' academic performance in a problem-based learning curriculum. Methods: This is a retrospective cohort study conducted on the cardiology block at the College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia. All students who undertook the cardiology block during the academic year 2011–2012 were included. The students' attendance was measured using their overall attendance percentage. This percentage is a product of their attendance of many activities throughout the block. The students' performance was assessed by the final mark obtained, which is a product of many assessment elements. Statistical correlation between students' attendance and performance was established. Results: A total of 127 students were included. The average lecture attendance rate for the medical students in this study was found to be 86%. A significant positive correlation was noted between the overall attendance and the accumulated students' block mark (r=0.52; P

Published
2016

6. ISOLATION AND IDENTIFICATION OF PROTEASE-PRODUCING BACILLUS STRAIN FROM COLD CLIMATE SOIL AND OPTIMIZATION OF ITS PRODUCTION BY APPLYING DIFFERENT FERMENTATION CONDITIONS.

Author

KHATOON, N., ULLAH, N., SARWAR, A., UR RAHMAN, S., KHAN, A. A., AZIZ, T., ALHARBI, M., and ALSHAMMARI, A.

Subjects
BACILLUS (Bacteria), AGAR, BACTERIAL colonies, YEAST extract, SOYBEAN meal, FERMENTATION, PROTEOLYTIC enzymes
Abstract

Proteases have received a lot of attention in recent years thanks to their use in a variety of industries, including the food, feed, leather, textile, and pharmaceutical sectors. The soil sample from a cold climate was used in the current experimental study of protease production. In order to identify the protease-producing bacterial species, morphological, physiological, and biochemical analyses were carried out, and the isolated bacterial strain's ability to produce proteases on skim milk agar was assessed. As a result of casein hydrolysis, a zone formed surrounding the bacterial colony suggested a protease-positive strain. To increase the production of protease by isolated Bacillus species, various sources of nitrogen and carbon were examined. Yeast extract (309.32 IU/ml) was the nitrogen source that supported growth the best among the other sources studied, and fructose (269.4 IU/ml) was the carbon source that produced the most protease activity. The fermentation time of 72 h (393.7033 IU/ml) was anticipated to be the best setting for protease synthesis. When 2% (w/v) soybean meal was employed, protease activity was measured at 494.92 IU/ml. The influence of pH was investigated, and it was discovered that 7.5 was the best and optimal pH for Bacillus species to produce 511 IU/ml of protease. When the temperature range was discovered to be 40°C, the highest protease activity of 542.93 IU/ml was recorded. [ABSTRACT FROM AUTHOR]

Published
2023
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7. Private Schooling in the Northern Areas of Pakistan: A Decade of Rapid Expansion

Author

Harlech-Jones, B., Baig, M., Sajid, S., and ur-Rahman, S.

Abstract

This article investigates the rapid expansion of private schooling in the Northern Areas of Pakistan during the period 1993-2003. Our observations are mainly based on a survey of about 40% of the total number of private schools in the Northern Areas in which we attested trends that are characteristic of many private schools elsewhere, both nationally and internationally. For instance, most of the parents are by no means wealthy, most think that private schools provide better quality than government schools, English-medium instruction is a key requirement, and all have pragmatic expectations of the benefits for their children both from private schooling and from English-medium education.

Published
2005
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8. Recent expansions of novel strategies towards the drug targeting into the brain

Author

Alexander A, Agrawal M, Uddin A, Siddique S, Shehata AM, Shaker MA, Ata Ur Rahman S, and Abdul MIM

Subjects
Medicine (General), R5-920, intranasal drug delivery, liposome, Brain, nanocarrier, drug targeting, BBB
Abstract

Amit Alexander,1 Mukta Agrawal,1 Ajaz Uddin,1 Sabahuddin Siddique,2 Ahmed M Shehata,3,4 Mahmoud A Shaker,5,6 Syed Ata Ur Rahman,7 Mohi Iqbal M Abdul,3 Mohamed A Shaker6,71Department of Pharmaceutics, Rungta College of Pharmaceutical Sciences and Research, Bhilai, Chhattisgarh, India; 2Patel College of Pharmacy, Madhyanchal Professional University, Bhopal, Madhya Pradesh, India; 3Department of Pharmacology and Toxicology, College of Pharmacy, Taibah University, Al-Madinah Al-Munawarah, Kingdom of Saudi Arabia; 4Department of Pharmacology and Toxicology, Faculty of Pharmacy, Beni-Suef University, Beni-Suef, Egypt; 5Department of Pharmaceutics, College of Pharmacy, King Khalid University, Abha, Kingdom of Saudi Arabia; 6Pharmaceutics Department, Faculty of Pharmacy, Helwan University, Cairo, Egypt; 7Pharmaceutics and Pharmaceutical Technology Department, College of Pharmacy, Taibah University, Al-Madinah Al-Munawarah, Kingdom of Saudi ArabiaAbstract: The treatment of central nervous system (CNS) disorders always remains a challenge for the researchers. The presence of various physiological barriers, primarily the blood–brain barrier (BBB) limits the accessibility of the brain and hinders the efficacy of various drug therapies. Hence, drug targeting to the brain, particularly to the diseased cells by circumventing the physiological barriers is essential to develop a promising therapy for the treatment of brain disorders. Presently, the investigations emphasize the role of different nanocarrier systems or surface modified target specific novel carrier system to improve the efficiency and reduce the side effects of the brain therapeutics. Such approaches supposed to circumvent the BBB or have the ability to cross the barrier function and thus increases the drug concentration in the brain. Although the efficacy of novel carrier system depends upon various physiological factors like active efflux transport, protein corona of the brain, stability, and toxicity of the nanocarrier, physicochemical properties, patient-related factors and many more. Hence, to develop a promising carrier system, it is essential to understand the physiology of the brain and BBB and also the other associated factors. Along with this, some alternative route like direct nose-to-brain drug delivery can also offer a better means to access the brain without exposure of the BBB. In this review, we have discussed the role of various physiological barriers including the BBB and blood-cerebrospinal fluid barrier (BCSFB) on the drug therapy and the mechanism of drug transport across the BBB. Further, we discussed different novel strategies for brain targeting of drug including, polymeric nanoparticles, lipidic nanoparticles, inorganic nanoparticles, liposomes, nanogels, nanoemulsions, dendrimers, quantum dots, etc. along with the intranasal drug delivery to the brain. We have also illustrated various factors affecting the drug targeting efficiency of the developed novel carrier system.Keywords: brain, drug targeting, nanocarrier, BBB, liposome, intranasal drug delivery

Published
2019

10. Global, regional, and national age-sex-specific mortality and life expectancy, 1950-2017: A systematic analysis for the Global Burden of Disease Study 2017

Author

Dicker, D. Nguyen, G. Abate, D. Abate, K.H. Abay, S.M. Abbafati, C. Abbasi, N. Abbastabar, H. Abd-Allah, F. Abdela, J. Abdelalim, A. Abdel-Rahman, O. Abdi, A. Abdollahpour, I. Abdulkader, R.S. Abdurahman, A.A. Abebe, H.T. Abebe, M. Abebe, Z. Abebo, T.A. Aboyans, V. Abraha, H.N. Abrham, A.R. Abu-Raddad, L.J. Abu-Rmeileh, N.M.E. Accrombessi, M.M.K. Acharya, P. Adebayo, O.M. Adedeji, I.A. Adedoyin, R.A. Adekanmbi, V. Adetokunboh, O.O. Adhena, B.M. Adhikari, T.B. Adib, M.G. Adou, A.K. Adsuar, J.C. Afarideh, M. Afshin, A. Agarwal, G. Aggarwal, R. Aghayan, S.A. Agrawal, S. Agrawal, A. Ahmadi, M. Ahmadi, A. Ahmadieh, H. Ahmed, M.L.C.B. Ahmed, S. Ahmed, M.B. Aichour, A.N. Aichour, I. Aichour, M.T.E. Akanda, A.S. Akbari, M.E. Akibu, M. Akinyemi, R.O. Akinyemiju, T. Akseer, N. Alahdab, F. Al-Aly, Z. Alam, K. Alebel, A. Aleman, A.V. Alene, K.A. Al-Eyadhy, A. Ali, R. Alijanzadeh, M. Alizadeh-Navaei, R. Aljunid, S.M. Alkerwi, A. Alla, F. Allebeck, P. Allen, C.A. Alonso, J. Al-Raddadi, R.M. Alsharif, U. Altirkawi, K. Alvis-Guzman, N. Amare, A.T. Amini, E. Ammar, W. Amoako, Y.A. Anber, N.H. Andrei, C.L. Androudi, S. Animut, M.D. Anjomshoa, M. Anlay, D.Z. Ansari, H. Ansariadi, A. Ansha, M.G. Antonio, C.A.T. Appiah, S.C.Y. Aremu, O. Areri, H.A. Ärnlöv, J. Arora, M. Artaman, A. Aryal, K.K. Asadi-Lari, M. Asayesh, H. Asfaw, E.T. Asgedom, S.W. Assadi, R. Ataro, Z. Atey, T.M.M. Athari, S.S. Atique, S. Atre, S.R. Atteraya, M.S. Attia, E.F. Ausloos, M. Avila-Burgos, L. Avokpaho, E.F.G.A. Awasthi, A. Awuah, B. Ayala Quintanilla, B.P. Ayele, H.T. Ayele, Y. Ayer, R. Ayuk, T.B. Azzopardi, P.S. Azzopardi-Muscat, N. Badali, H. Badawi, A. Balakrishnan, K. Bali, A.G. Banach, M. Banstola, A. Barac, A. Barboza, M.A. Barquera, S. Barrero, L.H. Basaleem, H. Bassat, Q. Basu, A. Basu, S. Baune, B.T. Bazargan-Hejazi, S. Bedi, N. Beghi, E. Behzadifar, M. Behzadifar, M. Béjot, Y. Bekele, B.B. Belachew, A.B. Belay, A.G. Belay, E. Belay, S.A. Belay, Y.A. Bell, M.L. Bello, A.K. Bennett, D.A. Bensenor, I.M. Berhane, A. Berman, A.E. Bernabe, E. Bernstein, R.S. Bertolacci, G.J. Beuran, M. Beyranvand, T. Bhala, N. Bhatia, E. Bhatt, S. Bhattarai, S. Bhaumik, S. Bhutta, Z.A. Biadgo, B. Bijani, A. Bikbov, B. Bililign, N. Bin Sayeed, M.S. Birlik, S.M. Birungi, C. Bisanzio, D. Biswas, T. Bjørge, T. Bleyer, A. Bora Basara, B. Bose, D. Bosetti, C. Boufous, S. Bourne, R. Brady, O.J. Bragazzi, N.L. Brant, L.C. Brazinova, A. Breitborde, N.J.K. Brenner, H. Britton, G. Brugha, T. Burke, K.E. Busse, R. Butt, Z.A. Cahuana-Hurtado, L. Callender, C.S.K.H. Campos-Nonato, I.R. Campuzano Rincon, J.C. Cano, J. Car, M. Cárdenas, R. Carreras, G. Carrero, J.J. Carter, A. Carvalho, F. Castañeda-Orjuela, C.A. Castillo Rivas, J. Castro, F. Catalá-López, F. Çavlin, A. Cerin, E. Chaiah, Y. Champs, A.P. Chang, H.-Y. Chang, J.-C. Chattopadhyay, A. Chaturvedi, P. Chen, W. Chiang, P.P.-C. Chimed-Ochir, O. Chin, K.L. Chisumpa, V.H. Chitheer, A. Choi, J.-Y.J. Christensen, H. Christopher, D.J. Chung, S.-C. Cicuttini, F.M. Ciobanu, L.G. Cirillo, M. Claro, R.M. Cohen, A.J. Collado-Mateo, D. Constantin, M.-M. Conti, S. Cooper, C. Cooper, L.T. Cortesi, P.A. Cortinovis, M. Cousin, E. Criqui, M.H. Cromwell, E.A. Crowe, C.S. Crump, J.A. Cucu, A. Cunningham, M. Daba, A.K. Dachew, B.A. Dadi, A.F. Dandona, L. Dandona, R. Dang, A.K. Dargan, P.I. Daryani, A. Das, S.K. Das Gupta, R. Das Neves, J. Dasa, T.T. Dash, A.P. Davis Weaver, N. Davitoiu, D.V. Davletov, K. Dayama, A. de Courten, B. De la Hoz, F.P. De leo, D. De Neve, J.-W. Degefa, M.G. Degenhardt, L. Degfie, T.T. Deiparine, S. Dellavalle, R.P. Demoz, G.T. Demtsu, B.B. Denova-Gutiérrez, E. Deribe, K. Dervenis, N. Des Jarlais, D.C. Dessie, G.A. Dey, S. Dharmaratne, S.D. Dhimal, M. Ding, E.L. Djalalinia, S. Doku, D.T. Dolan, K.A. Donnelly, C.A. Dorsey, E.R. Douwes-Schultz, D. Doyle, K.E. Drake, T.M. Driscoll, T.R. Dubey, M. Dubljanin, E. Duken, E.E. Duncan, B.B. Duraes, A.R. Ebrahimi, H. Ebrahimpour, S. Edessa, D. Edvardsson, D. Eggen, A.E. El Bcheraoui, C. El Sayed Zaki, M. Elfaramawi, M. El-Khatib, Z. Ellingsen, C.L. Elyazar, I.R.F. Enayati, A. Endries, A.Y.Y. Er, B. Ermakov, S.P. Eshrati, B. Eskandarieh, S. Esmaeili, R. Esteghamati, A. Esteghamati, S. Fakhar, M. Fakhim, H. Farag, T. Faramarzi, M. Fareed, M. Farhadi, F. Farid, T.A. E Sá Farinha, C.S. Farioli, A. Faro, A. Farvid, M.S. Farzadfar, F. Farzaei, M.H. Fazeli, M.S. Feigin, V.L. Feigl, A.B. Feizy, F. Fentahun, N. Fereshtehnejad, S.-M. Fernandes, E. Fernandes, J.C. Feyissa, G.T. Fijabi, D.O. Filip, I. Finegold, S. Fischer, F. Flor, L.S. Foigt, N.A. Ford, J.A. Foreman, K.J. Fornari, C. Frank, T.D. Franklin, R.C. Fukumoto, T. Fuller, J.E. Fullman, N. Fürst, T. Furtado, J.M. Futran, N.D. Galan, A. Gallus, S. Gambashidze, K. Gamkrelidze, A. Gankpe, F.G. Garcia-Basteiro, A.L. Garcia-Gordillo, M.A. Gebre, T. Gebre, A.K. Gebregergs, G.B. Gebrehiwot, T.T. Gebremedhin, A.T. Gelano, T.F. Gelaw, Y.A. Geleijnse, J.M. Genova-Maleras, R. Gessner, B.D. Getachew, S. Gething, P.W. Gezae, K.E. Ghadami, M.R. Ghadimi, R. Ghasemi Falavarjani, K. Ghasemi-Kasman, M. Ghiasvand, H. Ghimire, M. Ghoshal, A.G. Gill, P.S. Gill, T.K. Gillum, R.F. Giussani, G. Goenka, S. Goli, S. Gomez, R.S. Gomez-Cabrera, M.C. Gómez-Dantés, H. Gona, P.N. Goodridge, A. Gopalani, S.V. Goto, A. Goulart, A.C. Goulart, B.N.G. Grada, A. Grosso, G. Gugnani, H.C. Guimaraes, A.L.S. Guo, Y. Gupta, P.C. Gupta, R. Gupta, R. Gupta, T. Gyawali, B. Haagsma, J.A. Hachinski, V. Hafezi-Nejad, N. Hagos, T.B. Hailegiyorgis, T.T. Hailu, G.B. Haj-Mirzaian, A. Haj-Mirzaian, A. Hamadeh, R.R. Hamidi, S. Handal, A.J. Hankey, G.J. Harb, H.L. Harikrishnan, S. Haririan, H. Haro, J.M. Hasan, M. Hassankhani, H. Hassen, H.Y. Havmoeller, R. Hay, R.J. Hay, S.I. He, Y. Hedayatizadeh-Omran, A. Hegazy, M.I. Heibati, B. Heidari, M. Hendrie, D. Henok, A. Henry, N.J. Heredia-Pi, I. Herteliu, C. Heydarpour, F. Heydarpour, P. Heydarpour, S. Hibstu, D.T. Hoek, H.W. Hole, M.K. Homaie Rad, E. Hoogar, P. Horino, M. Hosgood, H.D. Hosseini, S.M. Hosseinzadeh, M. Hostiuc, S. Hostiuc, M. Hotez, P.J. Hoy, D.G. Hsairi, M. Htet, A.S. Hu, G. Huang, J.J. Husseini, A. Hussen, M.M. Hutfless, S. Iburg, K.M. Igumbor, E.U. Ikeda, C.T. Ilesanmi, O.S. Iqbal, U. Irvani, S.S.N. Isehunwa, O.O. Islam, S.M.S. Islami, F. Jahangiry, L. Jahanmehr, N. Jain, R. Jain, S.K. Jakovljevic, M. James, S.L. Javanbakht, M. Jayaraman, S. Jayatilleke, A.U. Jee, S.H. Jeemon, P. Jha, R.P. Jha, V. Ji, J.S. Johnson, S.C. Jonas, J.B. Joshi, A. Jozwiak, J.J. Jungari, S.B. Jürisson, M. Madhanraj, K. Kabir, Z. Kadel, R. Kahsay, A. Kahssay, M. Kalani, R. Kapil, U. Karami, M. Karami Matin, B. Karch, A. Karema, C. Karimi, N. Karimi, S.M. Karimi-Sari, H. Kasaeian, A. Kassa, G.M. Kassa, T.D. Kassa, Z.Y. Kassebaum, N.J. Katibeh, M. Katikireddi, S.V. Kaul, A. Kawakami, N. Kazemeini, H. Kazemi, Z. Kazemi Karyani, A. Prakash, K.C. Kebede, S. Keiyoro, P.N. Kemp, G.R. Kengne, A.P. Keren, A. Kereselidze, M. Khader, Y.S. Khafaie, M.A. Khajavi, A. Khalid, N. Khalil, I.A. Khan, E.A. Khan, G. Khan, M.S. Khan, M.A. Khang, Y.-H. Khanna, T. Khater, M.M. Khatony, A. Khazaie, H. Khoja, A.T. Khosravi, A. Khosravi, M.H. Khubchandani, J. Kiadaliri, A.A. Kibret, G.D.D. Kim, C.-I. Kim, D. Kim, J.Y. Kim, Y.-E. Kimokoti, R.W. Kinfu, Y. Kinra, S. Kisa, A. Kissimova-Skarbek, K. Kissoon, N. Kivimäki, M. Kleber, M.E. Knibbs, L.D. Knudsen, A.K.S. Kochhar, S. Kokubo, Y. Kolola, T. Kopec, J.A. Kosek, M.N. Kosen, S. Koul, P.A. Koyanagi, A. Kravchenko, M.A. Krishan, K. Krishnaswami, S. Kuate Defo, B. Kucuk Bicer, B. Kudom, A.A. Kuipers, E.J. Kulikoff, X.R. Kumar, G.A. Kumar, M. Kumar, P. Kumsa, F.A. Kutz, M.J. Lad, S.D. Lafranconi, A. Lal, D.K. Lalloo, R. Lam, H. Lami, F.H. Lan, Q. Langan, S.M. Lansingh, V.C. Lansky, S. Larson, H.J. Laryea, D.O. Lassi, Z.S. Latifi, A. Lavados, P.M. Laxmaiah, A. Lazarus, J.V. Lebedev, G. Lee, P.H. Leigh, J. Leshargie, C.T. Leta, S. Levi, M. Li, S. Li, Y. Li, X. Liang, J. Liang, X. Liben, M.L. Lim, L.-L. Lim, S.S. Limenih, M.A. Linn, S. Liu, S. Liu, Y. Lodha, R. Logroscino, G. Lonsdale, C. Lorch, S.A. Lorkowski, S. Lotufo, P.A. Lozano, R. Lucas, T.C.D. Lunevicius, R. Lyons, R.A. Ma, S. Mabika, C. Macarayan, E.R.K. Mackay, M.T. Maddison, E.R. Maddison, R. Madotto, F. Magdy Abd El Razek, H. Magdy Abd El Razek, M. Maghavani, D.P. Majdan, M. Majdzadeh, R. Majeed, A. Malekzadeh, R. Malik, M.A. Malta, D.C. Mamun, A.A. Manamo, W.A. Manda, A.-L. Mansournia, M.A. Mantovani, L.G. Mapoma, C.C. Marami, D. Maravilla, J.C. Marcenes, W. Marina, S. Martinez-Raga, J. Martins, S.C.O. Martins-Melo, F.R. März, W. Marzan, M.B. Mashamba-Thompson, T.P. Masiye, F. Massenburg, B.B. Maulik, P.K. Mazidi, M. McGrath, J.J. McKee, M. Mehata, S. Mehendale, S.M. Mehndiratta, M.M. Mehrotra, R. Mehta, K.M. Mehta, V. Mekonen, T. Mekonnen, T.C. Meles, H.G. Meles, K.G. Melese, A. Melku, M. Memiah, P.T.N. Memish, Z.A. Mendoza, W. Mengistu, D.T. Mengistu, G. Mensah, G.A. Mereta, S.T. Meretoja, A. Meretoja, T.J. Mestrovic, T. Mezgebe, H.B. Miangotar, Y. Miazgowski, B. Miazgowski, T. Miller, T.R. Mini, G.K. Mirica, A. Mirrakhimov, E.M. Misganaw, A.T. Moazen, B. Moges, N.A. Mohammad, K.A. Mohammadi, M. Mohammadifard, N. Mohammadi-Khanaposhtani, M. Mohammadnia-Afrouzi, M. Mohammed, S. Mohammed, M.A. Mohan, V. Mokdad, A.H. Molokhia, M. Monasta, L. Moradi, G. Moradi, M. Moradi-Lakeh, M. Moradinazar, M. Moraga, P. Morawska, L. Moreno Velásquez, I. Morgado-Da-costa, J. Morrison, S.D. Mosapour, A. Moschos, M.M. Mousavi, S.M. Muche, A.A. Muchie, K.F. Mueller, U.O. Mukhopadhyay, S. Mullany, E.C. Muller, K. Murhekar, M. Murphy, T.B. Murthy, G.V.S. Murthy, S. Musa, J. Musa, K.I. Mustafa, G. Muthupandian, S. Nachega, J.B. Nagel, G. Naghavi, M. Naheed, A. Nahvijou, A. Naik, G. Nair, S. Najafi, F. Nangia, V. Nansseu, J.R. Nascimento, B.R. Nawaz, H. Ncama, B.P. Neamati, N. Negoi, I. Negoi, R.I. Neupane, S. Newton, C.R.J. Ngalesoni, F.N. Ngunjiri, J.W. Nguyen, H.T. Nguyen, H.T. Nguyen, L.H. Nguyen, M. Nguyen, T.H. 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Younis, M.Z. Yousefifard, M. Yu, C. Zachariah, G. Zadnik, V. Zafar, S. Zaidi, Z. Zaman, S.B. Zamani, M. Zare, Z. Zeeb, H. Zeleke, M.M. Zenebe, Z.M. Zerfu, T.A. Zhang, K. Zhang, X. Zhou, M. Zhu, J. Zodpey, S. Zucker, I. Zuhlke, L.J.J. Lopez, A.D. Gakidou, E. Murray, C.J.L. GBD 2017 Mortality Collaborators

Abstract

Background: Assessments of age-specifc mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Afairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally. Methods: The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specifc mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in diferent components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950. Findings: Globally, 18·7% (95% uncertainty interval 18·4-19·0) of deaths were registered in 1950 and that proportion has been steadily increasing since, with 58·8% (58·2-59·3) of all deaths being registered in 2015. At the global level, between 1950 and 2017, life expectancy increased from 48·1 years (46·5-49·6) to 70·5 years (70·1-70·8) for men and from 52·9 years (51·7-54·0) to 75·6 years (75·3-75·9) for women. Despite this overall progress, there remains substantial variation in life expectancy at birth in 2017, which ranges from 49·1 years (46·5-51·7) for men in the Central African Republic to 87·6 years (86·9-88·1) among women in Singapore. The greatest progress across age groups was for children younger than 5 years; under-5 mortality dropped from 216·0 deaths (196·3-238·1) per 1000 livebirths in 1950 to 38·9 deaths (35·6-42·83) per 1000 livebirths in 2017, with huge reductions across countries. Nevertheless, there were still 5·4 million (5·2-5·6) deaths among children younger than 5 years in the world in 2017. Progress has been less pronounced and more variable for adults, especially for adult males, who had stagnant or increasing mortality rates in several countries. The gap between male and female life expectancy between 1950 and 2017, while relatively stable at the global level, shows distinctive patterns across super-regions and has consistently been the largest in central Europe, eastern Europe, and central Asia, and smallest in south Asia. Performance was also variable across countries and time in observed mortality rates compared with those expected on the basis of development. Interpretation: This analysis of age-sex-specifc mortality shows that there are remarkably complex patterns in population mortality across countries. The fndings of this study highlight global successes, such as the large decline in under-5 mortality, which refects signifcant local, national, and global commitment and investment over several decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among adult men and, to a lesser extent, women, whose mortality rates have stagnated in many countries over the time period of this study, and in some cases are increasing. © 2018 The Author(s).

Published
2018

11. Population and fertility by age and sex for 195 countries and territories, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author

Murray, C.J.L. Callender, C.S.K.H. Kulikoff, X.R. Srinivasan, V. Abate, D. Abate, K.H. Abay, S.M. Abbasi, N. Abbastabar, H. Abdela, J. Abdelalim, A. Abdel-Rahman, O. Abdi, A. Abdoli, N. Abdollahpour, I. Abdulkader, R.S. Abebe, H.T. Abebe, M. Abebe, Z. Abebo, T.A. Abejie, A.N. Aboyans, V. Abraha, H.N. Abreu, D.M.X. Abrham, A.R. Abu-Raddad, L.J. Abu-Rmeileh, N.M.E. Accrombessi, M.M.K. Acharya, P. Adamu, A.A. Adebayo, O.M. Adedeji, I.A. Adekanmbi, V. Adetokunboh, O.O. Adhena, B.M. Adhikari, T.B. Adib, M.G. Adou, A.K. Adsuar, J.C. Afarideh, M. Afshin, A. Agarwal, G. Agesa, K.M. Aghayan, S.A. Agrawal, S. Ahmadi, A. Ahmadi, M. Ahmed, M.B. Ahmed, S. Aichour, A.N. Aichour, I. Aichour, M.T.E. Akanda, A.S. Akbari, M.E. Akibu, M. Akinyemi, R.O. Akinyemiju, T. Akseer, N. Alahdab, F. Al-Aly, Z. Alam, K. Alebel, A. Aleman, A.V. Alene, K.A. Al-Eyadhy, A. Ali, R. Alijanzadeh, M. Alizadeh-Navaei, R. Aljunid, S.M. Alkerwi, A. Alla, F. Allebeck, P. Almasi, A. Alonso, J. Al-Raddadi, R.M. Alsharif, U. Altirkawi, K. Alvis-Guzman, N. Amare, A.T. Ammar, W. Anber, N.H. Andrei, C.L. Androudi, S. Animut, M.D. Ansari, H. Ansha, M.G. Antonio, C.A.T. Appiah, S.C.Y. Aremu, O. Areri, H.A. Arian, N. Ärnlöv, J. Artaman, A. Aryal, K.K. Asayesh, H. Asfaw, E.T. Asgedom, S.W. Assadi, R. Atey, T.M.M. Atique, S. Atteraya, M.S. Ausloos, M. Avokpaho, E.F.G.A. Awasthi, A. Ayala Quintanilla, B.P. Ayele, Y. Ayer, R. Ayuk, T.B. Azzopardi, P.S. Babalola, T.K. Babazadeh, A. Badali, H. Badawi, A. Bali, A.G. Banach, M. Barker-Collo, S.L. Bärnighausen, T.W. Barrero, L.H. Basaleem, H. Bassat, Q. Basu, A. Baune, B.T. Baynes, H.W. Beghi, E. Behzadifar, M. Behzadifar, M. Bekele, B.B. Belachew, A.B. Belay, A.G. Belay, E. Belay, S.A. Belay, Y.A. Bell, M.L. Bello, A.K. Bennett, D.A. Bensenor, I.M. Bergeron, G. Berhane, A. Berman, A.E. Bernabe, E. Bernstein, R.S. Bertolacci, G.J. Beuran, M. Bhattarai, S. Bhaumik, S. Bhutta, Z.A. Biadgo, B. Bijani, A. Bikbov, B. Bililign, N. Bin Sayeed, M.S. Birlik, S.M. Birungi, C. 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Ganji, M. Gankpe, F.G. Garcia, G.M. Garcia-Gordillo, M.Á. Gebre, A.K. Gebre, T. Gebregergs, G.B. Gebrehiwot, T.T. Gebremedhin, A.T. Gelano, T.F. Gelaw, Y.A. Geleijnse, J.M. Genova-Maleras, R. Gething, P. Gezae, K.E. Ghadami, M.R. Ghadimi, R. Ghadiri, K. Falavarjani, K.G. Ghasemi-Kasman, M. Ghiasvand, H. Ghimire, M. Ghoshal, A.G. Gill, P.S. Gill, T.K. Giussani, G. Gnedovskaya, E.V. Goli, S. Gomez, R.S. Gómez-Dantés, H. Gona, P.N. Goodridge, A. Gopalani, S.V. Goulart, A.C. Goulart, B.N.G. Grada, A. Grosso, G. Gugnani, H.C.C. Guo, J. Guo, Y. Gupta, P.C. Gupta, R. Gupta, R. Gupta, T. Haagsma, J.A. Hachinski, V. Hafezi-Nejad, N. Hagos, T.B. Hailegiyorgis, T.T. Hailu, G.B. Haj-Mirzaian, A. Haj-Mirzaian, A. Hamadeh, R.R. Hamidi, S. Handal, A.J. Hankey, G.J. Hao, Y. Harb, H.L. Haririan, H. Haro, J.M. Hasan, M. Hassankhani, H. Hassen, H.Y. Havmoeller, R. Hay, S.I. He, Y. Hedayatizadeh-Omran, A. Hegazy, M.I. Heibati, B. Heidari, B. Hendrie, D. Henok, A. Henry, N.J. Herteliu, C. Heydarpour, F. Hibstu, D.T. Hole, M.K. Rad, E.H. Hoogar, P. Hosgood, H.D. Hosseini, S.M. Hosseini Chavoshi, M.M. Hosseinzadeh, M. Hostiuc, M. Hostiuc, S. Hsairi, M. Hsiao, T. Hu, G. Huang, J.J. Iburg, K.M. Igumbor, E.U. Ikeda, C.T. Ilesanmi, O.S. Iqbal, U. Irenso, A.A. Irvani, S.S.N. Isehunwa, O.O. Islam, S.M.S. Jahangiry, L. Jahanmehr, N. Jain, S.K. Jakovljevic, M. Jalu, M.T. James, S.L. Jassal, S.K. Javanbakht, M. Jayatilleke, A.U. Jeemon, P. Jha, R.P. Jha, V. Ji, J.S. Jonas, J.B. Jozwiak, J.J. Jungari, S.B. Jürisson, M. Kabir, Z. Kadel, R. Kahsay, A. Kalani, R. Kapil, U. Karami, M. Karami Matin, B. Karch, A. Karema, C. Karimi, S.M. Kasaeian, A. Kassa, D.H. Kassa, G.M. Kassa, T.D. Kassa, Z.Y. Kassebaum, N.J. Kastor, A. Katikireddi, S.V. Kaul, A. Kawakami, N. Kazemi Karyani, A. Kebede, S. Keiyoro, P.N. Kemp, G.R. Kengne, A.P. Keren, A. Kereselidze, M. Khader, Y.S. Khafaie, M.A. Khajavi, A. Khalid, N. Khalil, I.A. Khan, E.A. Khan, M.S. Khang, Y.-H. Khanna, T. Khater, M.M. Khatony, A. Khazaeipour, Z. Khazaie, H. Khoja, A.T. Khosravi, A. Khosravi, M.H. Kibret, G.D. Kidanemariam, Z.T. Kiirithio, D.N. Kilgore, P.E. Kim, D. Kim, J.Y. Kim, Y.-E. Kim, Y.J. Kimokoti, R.W. Kinfu, Y. Kinra, S. Kisa, A. Kivimäki, M. Kochhar, S. Kokubo, Y. Kolola, T. Kopec, J.A. Kosek, M.N. Kosen, S. Koul, P.A. Koyanagi, A. Krishan, K. Krishnaswami, S. Krohn, K.J. Defo, B.K. Bicer, B.K. Kumar, G.A. Kumar, M. Kumar, P. Kumsa, F.A. Kutz, M.J. Lad, S.D. Lafranconi, A. Lal, D.K. Lalloo, R. Lam, H. Lami, F.H. Lang, J.J. Lansky, S. Lansingh, V.C. Laryea, D.O. Lassi, Z.S. Latifi, A. Laxmaiah, A. Lazarus, J.V. Lee, J.B. Lee, P.H. Leigh, J. Leshargie, C.T. Leta, S. Levi, M. Li, S. Li, X. Li, Y. Liang, J. Liang, X. Liben, M.L. Lim, L.-L. Limenih, M.A. Linn, S. Liu, S. Lorkowski, S. Lotufo, P.A. Lozano, R. Lunevicius, R. Mabika, C.M. Macarayan, E.R.K. Mackay, M.T. Madotto, F. Mahmood, T.A.E. Mahotra, N.B. Majdan, M. Majdzadeh, R. Majeed, A. Malekzadeh, R. Malik, M.A. Mamun, A.A. Manamo, W.A. Manda, A.-L. Mangalam, S. Mansournia, M.A. Mantovani, L.G. Mapoma, C.C. Marami, D. Maravilla, J.C. Marcenes, W. Marina, S. Martins-Melo, F.R. März, W. Marzan, M.B. Mashamba-Thompson, T.P. Masiye, F. Mason-Jones, A.J. Massenburg, B.B. Mathur, M.R. Maulik, P.K. Mazidi, M. McGrath, J.J. Mehata, S. Mehendale, S.M. Mehndiratta, M.M. Mehrotra, R. Mehrzadi, S. Mehta, K.M. Mehta, V. Mekonnen, T.C. Meles, H.G. Meles, K.G. Melese, A. Melku, M. Memiah, P.T.N. Memish, Z.A. Mendoza, W. Mengesha, M.M. Mengistu, D.T. Mengistu, G. Mensah, G.A. Mereta, S.T. Meretoja, A. Meretoja, T.J. Mestrovic, T. Mezgebe, H.B. Miangotar, Y. Miazgowski, B. Miazgowski, T. Miller, T.R. Miller-Petrie, M.K. Mini, G.K. Mirabi, P. Mirica, A. Mirrakhimov, E.M. Misganaw, A.T. Moazen, B. Mohammad, K.A. Mohammadi, M. Mohammadifard, N. Mohammadi-Khanaposhtani, M. Mohammed, M.A. Mohammed, S. Mokdad, A.H. Mola, G.D. Molokhia, M. Monasta, L. Montañez, J.C. Moradi, G. Moradi, M. Moradi-Lakeh, M. Moradinazar, M. Moraga, P. Morgado-Da-Costa, J. Mori, R. Morrison, S.D. Mosapour, A. Moschos, M.M. Mousavi, S.M. Muche, A.A. Muchie, K.F. Mueller, U.O. Mukhopadhyay, S. Murphy, T.B. Muller, K. Murthy, G.V.S. Musa, J. Musa, K.I. Mustafa, G. Muthupandian, S. Nachega, J.B. Nagel, G. Naghavi, M. Naheed, A. Nahvijou, A. Naik, G. Naik, P. Najafi, F. Naldi, L. Nangia, V. Nansseu, J.R. Nascimento, B.R. Nawaz, H. Ncama, B.P. Neamati, N. Negoi, I. Negoi, R.I. Neupane, S. Newton, C.R.J. Ngalesoni, F.N. Ngunjiri, J.W. Nguyen, G. Nguyen, L.H. Nguyen, T.H. Ningrum, D.N.A. Nirayo, Y.L. Nisar, M.I. Nixon, M.R. Nomura, S. Noroozi, M. Noubiap, J.J. Nouri, H.R. Nourollahpour Shiadeh, M. Nowroozi, M.R. Nyandwi, A. Nyasulu, P.S. Odell, C.M. Ofori-Asenso, R. Ogah, O.S. Ogbo, F.A. Oh, I.-H. Okoro, A. Oladimeji, O. Olagunju, A.T. Olagunju, T.O. Olivares, P.R. Olusanya, B.O. Olusanya, J.O. Ong, S.K. Ortiz, A. Osgood-Zimmerman, A. Ota, E. Otieno, B.A. Otstavnov, S.S. Owolabi, M.O. Oyekale, A.S. Mahesh, P.A. Pakhale, S. Pakhare, A.P. Pana, A. Panda, B.K. Panda-Jonas, S. Pandey, A.R. Park, E.-K. Parsian, H. Patel, S. Patil, S.T. Patle, A. Patton, G.C. Paturi, V.R. Paudel, D. Pedroso, M.M. Peprah, E.K. Pereira, D.M. Perico, N. Pesudovs, K. Petri, W.A. Petzold, M. Pierce, M. Pigott, D.M. Pillay, J.D. Pirsaheb, M. Polanczyk, G.V. Postma, M.J. Pourmalek, F. Pourshams, A. Poustchi, H. Prakash, S. Prasad, N. Purcell, C.A. Purwar, M.B. Qorbani, M. Quansah, R. Radfar, A. Rafay, A. Rafiei, A. Rahim, F. Rahimi-Movaghar, A. Rahimi-Movaghar, V. Rahman, M. Rahman, M.S. Ur Rahman, M.H. Rahman, M.A. Ur Rahman, S. Rai, R.K. Rajati, F. Rajsic, S. Ram, U. Ranabhat, C.L. Ranjan, P. Rawaf, D.L. Rawaf, S. Ray, S.E. Razo-García, C. Reiner, R.C. Reis, C. Remuzzi, G. Renzaho, A.M.N. Resnikoff, S. Rezaei, S. Rezaeian, S. Rezai, M.S. Riahi, S.M. Rios-Blancas, M.J. Roba, K.T. Roberts, N.L.S. Roever, L. Ronfani, L. Roshandel, G. Rostami, A. Rubagotti, E. Ruhago, G.M. Sabde, Y.D. Sachdev, P.S. Saddik, B. Moghaddam, S.S. Safari, H. Safari, Y. Safari-Faramani, R. Safdarian, M. Safi, S. Safiri, S. Sagar, R. Sahebkar, A. Sahraian, M.A. Sajadi, H.S. Salahshoor, M. Salam, N. Salama, J.S. Salamati, P. Saldanha, R.D.F. Saleem, Z. Salimi, Y. Salimzadeh, H. Salomon, J.A. Salvi, S.S. Salz, I. Sambala, E.Z. Samy, A.M. Sanabria, J. Sanchez-Niño, M.D. Santos, I.S. Santric Milicevic, M.M. Sao Jose, B.P. Sardana, M. Sarker, A.R. Sarmiento-Suárez, R. Saroshe, S. Sarrafzadegan, N. Sartorius, B. Sarvi, S. Sathian, B. Satpathy, M. Sawant, A.R. Sawhney, M. Saxena, S. Schaeffner, E. Schelonka, K. Schneider, I.J.C. Schwebel, D.C. Schwendicke, F. Seedat, S. Sekerija, M. Sepanlou, S.G. Serván-Mori, E. Shabaninejad, H. Shackelford, K.A. Shafieesabet, A. Shaheen, A.A. Shaikh, M.A. Shakir, R.A. Shams-Beyranvand, M. Shamsi, M. Shamsizadeh, M. Sharafi, H. Sharafi, K. Sharif, M. Sharif-Alhoseini, M. Sharma, J. Sharma, R. She, J. Sheikh, A. Shi, P. Shibuya, K. Shigematsu, M. Shiri, R. Shirkoohi, R. Shiue, I. Shokraneh, F. Shukla, S.R. Si, S. Siabani, S. Sibai, A.M. Siddiqi, T.J. Sigfusdottir, I.D. Sigurvinsdottir, R. Silpakit, N. Silva, D.A.S. Silva, J.P. Silveira, D.G.A. Singam, N.S.V. Singh, J.A. Singh, N.P. Singh, V. Sinha, D.N. Sliwa, K. Soares Filho, A.M. Sobaih, B.H. Sobhani, S. Soofi, M. Soriano, J.B. Soyiri, I.N. Sreeramareddy, C.T. Starodubov, V.I. Steiner, C. Stewart, L.G. Stokes, M.A. Strong, M. Subart, M.L. Sufiyan, M.B. Sulo, G. Sunguya, B.F. Sur, P.J. Sutradhar, I. Sykes, B.L. Sylaja, P.N. Sylte, D.O. Szoeke, C.E.I. Tabarés-Seisdedos, R. Tabb, K.M. Tadakamadla, S.K. Tandon, N. Tassew, A.A. Tassew, S.G. Taveira, N. Tawye, N.Y. Tehrani-Banihashemi, A. Tekalign, T.G. Tekle, M.G. Temsah, M.-H. Terkawi, A.S. Teshale, M.Y. Tessema, B. Teweldemedhin, M. Thakur, J.S. Thankappan, K.R. Thirunavukkarasu, S. Thomas, N. Thomson, A.J. Tilahun, B. To, Q.G. Tonelli, M. Topor-Madry, R. Torre, A.E. Tortajada-Girbés, M. Tovani-Palone, M.R. Toyoshima, H. Tran, B.X. Tran, K.B. Tripathy, S.P. Truelsen, T.C. Truong, N.T. Tsadik, A.G. Tsegay, A. Tsilimparis, N. Car, L.T. Ukwaja, K.N. Ullah, I. Usman, M.S. Uthman, O.A. Uzun, S.B. Vaduganathan, M. Vaezi, A. Vaidya, G. Valdez, P.R. Varavikova, E. Varughese, S. Vasankari, T.J. Vasconcelos, A.M.N. Venketasubramanian, N. Villafaina, S. Violante, F.S. Vladimirov, S.K. Vlassov, V. Vollset, S.E. Vos, T. Vosoughi, K. Vujcic, I.S. Wagnew, F.S. Waheed, Y. Walson, J.L. Wang, Y. Wang, Y.-P. Weiderpass, E. Weintraub, R.G. Weldegwergs, K.G. Werdecker, A. Westerman, R. Whiteford, H. Widecka, J. Widecka, K. Wijeratne, T. Winkler, A.S. Wiysonge, C.S. Wolfe, C.D.A. Wu, S. Wyper, G.M.A. Xu, G. Yamada, T. Yano, Y. Yaseri, M. Yasin, Y.J. Ye, P. Yentür, G.K. Yeshaneh, A. Yimer, E.M. Yip, P. Yisma, E. Yonemoto, N. Yoon, S.-J. Yotebieng, M. Younis, M.Z. Yousefifard, M. Yu, C. Zadnik, V. Zaidi, Z. Zaman, S.B. Zamani, M. Zare, Z. Zeleke, M.M. Zenebe, Z.M. Zerfu, T.A. Zhang, X. Zhao, X.-J. Zhou, M. Zhu, J. Zimsen, S.R.M. Zodpey, S. Zoeckler, L. Lopez, A.D. Lim, S.S. GBD 2017 Population Fertility Collaborators

Abstract

Background: Population estimates underpin demographic and epidemiological research and are used to track progress on numerous international indicators of health and development. To date, internationally available estimates of population and fertility, although useful, have not been produced with transparent and replicable methods and do not use standardised estimates of mortality. We present single-calendar year and single-year of age estimates of fertility and population by sex with standardised and replicable methods. Methods: We estimated population in 195 locations by single year of age and single calendar year from 1950 to 2017 with standardised and replicable methods. We based the estimates on the demographic balancing equation, with inputs of fertility, mortality, population, and migration data. Fertility data came from 7817 location-years of vital registration data, 429 surveys reporting complete birth histories, and 977 surveys and censuses reporting summary birth histories. We estimated age-specific fertility rates (ASFRs; the annual number of livebirths to women of a specified age group per 1000 women in that age group) by use of spatiotemporal Gaussian process regression and used the ASFRs to estimate total fertility rates (TFRs; the average number of children a woman would bear if she survived through the end of the reproductive age span [age 10–54 years] and experienced at each age a particular set of ASFRs observed in the year of interest). Because of sparse data, fertility at ages 10–14 years and 50–54 years was estimated from data on fertility in women aged 15–19 years and 45–49 years, through use of linear regression. Age-specific mortality data came from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 estimates. Data on population came from 1257 censuses and 761 population registry location-years and were adjusted for underenumeration and age misreporting with standard demographic methods. Migration was estimated with the GBD Bayesian demographic balancing model, after incorporating information about refugee migration into the model prior. Final population estimates used the cohort-component method of population projection, with inputs of fertility, mortality, and migration data. Population uncertainty was estimated by use of out-of-sample predictive validity testing. With these data, we estimated the trends in population by age and sex and in fertility by age between 1950 and 2017 in 195 countries and territories. Findings: From 1950 to 2017, TFRs decreased by 49·4% (95% uncertainty interval [UI] 46·4–52·0). The TFR decreased from 4·7 livebirths (4·5–4·9) to 2·4 livebirths (2·2–2·5), and the ASFR of mothers aged 10–19 years decreased from 37 livebirths (34–40) to 22 livebirths (19–24) per 1000 women. Despite reductions in the TFR, the global population has been increasing by an average of 83·8 million people per year since 1985. The global population increased by 197·2% (193·3–200·8) since 1950, from 2·6 billion (2·5–2·6) to 7·6 billion (7·4–7·9) people in 2017; much of this increase was in the proportion of the global population in south Asia and sub-Saharan Africa. The global annual rate of population growth increased between 1950 and 1964, when it peaked at 2·0%; this rate then remained nearly constant until 1970 and then decreased to 1·1% in 2017. Population growth rates in the southeast Asia, east Asia, and Oceania GBD super-region decreased from 2·5% in 1963 to 0·7% in 2017, whereas in sub-Saharan Africa, population growth rates were almost at the highest reported levels ever in 2017, when they were at 2·7%. The global average age increased from 26·6 years in 1950 to 32·1 years in 2017, and the proportion of the population that is of working age (age 15–64 years) increased from 59·9% to 65·3%. At the national level, the TFR decreased in all countries and territories between 1950 and 2017; in 2017, TFRs ranged from a low of 1·0 livebirths (95% UI 0·9–1·2) in Cyprus to a high of 7·1 livebirths (6·8–7·4) in Niger. The TFR under age 25 years (TFU25; number of livebirths expected by age 25 years for a hypothetical woman who survived the age group and was exposed to current ASFRs) in 2017 ranged from 0·08 livebirths (0·07–0·09) in South Korea to 2·4 livebirths (2·2–2·6) in Niger, and the TFR over age 30 years (TFO30; number of livebirths expected for a hypothetical woman ageing from 30 to 54 years who survived the age group and was exposed to current ASFRs) ranged from a low of 0·3 livebirths (0·3–0·4) in Puerto Rico to a high of 3·1 livebirths (3·0–3·2) in Niger. TFO30 was higher than TFU25 in 145 countries and territories in 2017. 33 countries had a negative population growth rate from 2010 to 2017, most of which were located in central, eastern, and western Europe, whereas population growth rates of more than 2·0% were seen in 33 of 46 countries in sub-Saharan Africa. In 2017, less than 65% of the national population was of working age in 12 of 34 high-income countries, and less than 50% of the national population was of working age in Mali, Chad, and Niger. Interpretation: Population trends create demographic dividends and headwinds (ie, economic benefits and detriments) that affect national economies and determine national planning needs. Although TFRs are decreasing, the global population continues to grow as mortality declines, with diverse patterns at the national level and across age groups. To our knowledge, this is the first study to provide transparent and replicable estimates of population and fertility, which can be used to inform decision making and to monitor progress. Funding: Bill & Melinda Gates Foundation. © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license

Published
2018

13. Direct wavefront sensing in adaptive microscopy

Author

Azmeen-ur-Rahman, S and Booth, M

Subjects
Medical Sciences, Optics,electromagnetic theory (mathematics), Sensors, Electrical engineering, Optoelectronics, Electronics, Biomedical engineering
Abstract

Specimen-induced aberrations are frequently encountered in high resolution microscopy, particularly when high numerical aperture lenses are used to image deep into biological specimens. These aberrations distort the focal spot causing reduction in resolution, signal level and contrast. Aberrations arise due to refractive index variations in the specimen. Adaptive optics has been used in microscopes to correct for these effects and restore optimum imaging performance. An adaptive element, such as a deformable mirror, is used to compensate for aberrations by introducing equal but opposite phase distortions to that introduced by the specimen. Most adaptive optics systems in microscopy have employed indirect optimisation schemes that require several exposures of the specimen before the correction phase can be determined. This could lead to photo-toxicity and is sometimes unsuitable for real-time imaging. Direct wavefront sensing can significantly decrease the time required for aberration measurements by using dedicated sensors, but has limitations, particularly when backscattered light is used from thick specimens. While similar research has been undertaken in ophthalmology where the imaged retina is approximately two-dimensional, this report extends that work to three-dimensional specimens in microscopes. Aberration correction has already been demonstrated in single-pass systems for scattering specimens, but have employed either indirect wavefront sensing techniques or fluorescent beads as guide stars. The use of a Shack-Hartmann wavefront sensor for direct wavefront sensing using backscattered light in a dual-pass system is investigated here. Out-of-focus rejection using an axial selectivity pinhole is studied, along with the phase smoothing effect that is dependant on the pinhole size. The effectiveness of using asymmetric illumination and detection paths, and polarisation filtering in the retrieval of phase information are also demonstrated. It is shown that whilst direct quantitative measurements are not possible for scattering specimens, the measurements could be used in closed-loop adaptive optics systems to correct aberrations.

Published
2016

14. Treatment of Missing Values in Data Mining

Author

Imran Mj, Waqas I, Rehan A, and Syed Saeed-Ur Rahman S

Subjects
business.industry, Computer science, Human error, Information technology, computer.software_genre, Missing data, Set (abstract data type), Data set, Pure Data, Path (graph theory), Data mining, business, Value (mathematics), computer, computer.programming_language
Abstract

Data mining has pushed the realm of information technology beyond predictable limits. Data mining has left its permanent marks on decision making in just in few years of its inception. Missing value is one of the major factor, which can render the obtain result beyond use attained from specific data set by applying data mining technique. There could be numerous reasons for missing values in a data set such as human error, hardware malfunction etc. It is imperative to tackle the labyrinth of missing values before applying any technique of data mining; otherwise, the information extracted from data set containing missing values will lead to the path of wrong decision making. There are several techniques available to control the issue of missing values such as replacing the missing value with: (a) closest value, (b) mean value and (c) median value etc. Some algorithms are also used to deal with the problem of missing values such as k-nearest neighbour. Paper reviewed certain techniques and algorithms to deal with the puzzle of missing values whereby achieving pure data set (i.e., data set without missing value) which in-turn will lead to path of correct and accurate decision making.

Published
2015

22. Factors Affecting the Consumer Purchasing Decisions of Perishable Foods: Exploring the Attitudes and the Preferences.

Author

MASOOM, Muhammad Rehan, PASHA, Syed Habib Anwar, and Asif-Ur-RAHMAN, S. M.

Subjects
CONSUMER behavior, PURCHASING, DECISION making, PERISHABLE foods, FOOD quality
Abstract

The present study is designed to make a comprehensive understanding of the attitude of the urban consumers and explore the factors involved in dealing with the perishable food of certain kinds. The rise of the middle class stipulates the enhancement of the shopping environment; hence witnessing a substantial increase of the number of the supermarkets in developing countries like Bangladesh will not be surprising. A number of urban supermarkets in recent times start selling perishable foods that were once available in Bangladesh only in flea markets (Kaccha Bazaar). However, due to the lack of proper infrastructure, agro-based perishable food reaches the urban market via a long process of chain mediations and raises concerns about quality and price for both retailers and consumers. Very often the attitudes of consumers regarding perishable foods are unknown and their preferences remain unidentified. This high level of uncertainty regarding the attitude of consumers and the unpopularity regarding overall food quality need to be resolved to ensure the continuity of the business and guarantee the quality of the products. This has made the study of the consumers' attitude towards perishable food, especially relevant for emerging economies like Bangladesh. The data is collected from one hundred (100) consumers, who buy food regularly from both super-shops and flea markets in Dhaka city. The collected data are analyzed in terms of factors like importance, expectation and perceived actual level of value to show the gap in terms of perishable foods involved. [ABSTRACT FROM AUTHOR]

Published
2015

30. Impact of ethnicity on left ventricular mass and relative wall thickness in essential hypertension.

Author

Zabalgoitia, Miguel, Rahman, S. Noor Ur, Haley, William E., Oneschuk, Lori, Yunis, Carla, Lucas, Charles, Yarows, Steven, Krause, Lisa, Amerena, John, Zabalgoitia, M, Ur Rahman, S N, Haley, W E, Oneschuk, L, Yunis, C, Lucas, C, Yarows, S, Krause, L, and Amerena, J

Subjects
*LEFT heart ventricle, *HYPERTENSION
Abstract

This study was designed to evaluate the impact of ethnicity on left ventricular (LV) mass, and relative wall thickness in 527 patients (57% men, mean age 60 +/- 7 years) with mild to moderate high blood pressure. There were 63% Caucasians, 21% African-Americans, and 16% Hispanics. LV mass was indexed according to body surface area, height, and height to the allometric power of 2.7. Relative wall thickness included the 4 widely recognized patterns: normal, concentric remodeling, eccentric hypertrophy, and concentric hypertrophy. LV mass indexed to body surface area was similar among all 3 ethnic groups (Caucasians 117.1 g/m2, African-Americans 119.2 g/m2, Hispanics 122.7 g/m2); however, when indexed to height and height to the power of 2.7, Hispanics had slightly larger masses than the other 2 groups (Hispanics 168.1 and 73.3 g/m2.7 vs Caucasians 159.8 and 64.4 g/m2.7 [p = NS and p < 0.005]; and vs African-Americans 164.8 and 69.2 g/m2.7 [p = NS for both]). Using body surface area, the concentric remodeling was the predominant form of cardiac adaptation in Caucasians (36%) and African-Americans (42%), whereas the concentric hypertrophy pattern was 38% in Hispanics. Using indexing for both height and height to the power of 2.7, the concentric hypertrophy pattern predominated in all 3 ethnic groups (Caucasians 48% and 51%; African-Americans 68% and 66%; Hispanics 59% and 65%). In conclusion, because of the independent impact of weight on high blood pressure, LV mass adjusted to height or to height at the power of 2.7 should be reported in population studies. The concentric hypertrophy pattern--classic LV response to pressure overload conditions--is better represented when LV mass is indexed to height or to height to the allometric power of 2.7 than to body surface area. [ABSTRACT FROM AUTHOR]

Published
1998
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31. Global, regional, and national levels and causes of maternal mortality during 1990-2013: A systematic analysis for the Global Burden of Disease Study 2013

Author

Carl Abelardo T. Antonio, Rob E. Dorrington, Belinda K Lloyd, Elisabete Weiderpass, Kovin Naidoo, Leslie T. Cooper, Sandra Nolte, Eduardo A. Undurraga, Mohammad A. AlMazroa, R. Kumar, Xiaofeng Liang, Amanda J. Mason-Jones, Kazem Rahimi, Sanjay Basu, Vasiliy Victorovich Vlassov, André Karch, Dipan Bose, Vivekanand Jha, Adansi A. Amankwaa, Kaire Innos, Ione Jayce Ceola Schneider, Itamar S. Santos, Anwar Rafay, Bolajoko O. Olusanya, Tommi Vasankari, Nana Kwaku Mainoo, Saleem M Rana, Wagner Marcenes, Fortuné Gbètoho Gankpé, Rana J. Asghar, Lela Sturua, Nicholas J K Breitborde, Corine Karema, Charles R. Newton, Uche S. Uchendu, Jongmin Lee, Inga Dora Sigfusdottir, Harish Chander Gugnani, Kaushalendra Kumar, Reza Assadi, Ibrahim Abubakar, Konstantinos Stroumpoulis, Megan Coggeshall, Timothy M. Wolock, Ronny Westerman, Samath D Dharmaratne, Katya Anne Shackelford, Anders Larsson, Jeffrey A. Towbin, Jixiang Ma, Lynne Gaffikin, Konstantin Kazanjan, Mohammad Ali Sahraian, Mohammad H. Forouzanfar, Yichong Li, Felix Sayinzoga, Daniel Dicker, Philimon Gona, Maurice Giroud, Maysaa El Sayed Zaki, Shiwei Liu, Lorenzo Monasta, Chantal Huynh, Abdullatif Husseini, Ted R. Miller, Solomon Meseret Woldeyohannes, D. Alex Quistberg, Justin Beardsley, Majed Asad, Uʇur Dilmen, Alaa Badawi, Hsien-Ho Lin, Haidong Kan, Vinod K. Paul, Mitsuru Mukaigawara, James Leigh, Xiao Nong Zou, Sajjad Ur Rahman, Valentina Arsić Arsenijević, Gokalp Kadri Yentur, Man Mohan Mehndiratta, Murugesan Raju, Stephanie J. London, Kingsley N. Ukwaja, Young-Ho Khang, Knud Juel, Mohsen Naghavi, Rasmus Havmoeller, Gelin Xu, Semaw Ferede Abera, Devina Nand, Norito Kawakami, Neil Pearce, Elisabeth Barboza França, Ferrán Catalá-López, Ketevan Goginashvili, Vegard Skirbekk, Neeraj Bedi, Barthelemy Kuate Defo, Andrew H. Kemp, H. Dean Hosgood, Vafa Rahimi-Movaghar, Konrad Pesudovs, Linhong Wang, Xiao Rong Wang, Alan D. Lopez, Ademola Lukman Adelekan, Joshua A. Salomon, Walter Mendoza, Aref A. Bin Abdulhak, Ivy Shiue, G Anil Kumar, Yuichiro Yano, Luke D. Knibbs, Jung-Chen Chang, Yousef Khader, Caitlyn Steiner, Selen Begüm Uzun, Luciano A. Sposato, Gabrielle deVeber, Raghib Ali, Andre Pascal Kengne, Chakib Nejjari, Rafael Alfonso-Cristancho, Tania Georgina Sánchez Pimienta, Roberto Tchio Talongwa, Hilda L Harb, Ali H. Mokdad, Edward J Mills, Angel J Paternina Caicedo, Xiaohong Li, Luke Nyakarahuka, Diego De Leo, Rashmi Gupta, Robert G. Weintraub, Tim Driscoll, Sun Ha Jee, Carolina Maria Teixeira, Ole Frithjof Norheim, Zulfiqar A Bhutta, Hwashin Hyun Shin, Palwasha Anwari, Daniel Pope, Hassan Amini, Jae-Hyun Park, Saad B. Omer, Eric L. Ding, Narayanaswamy Venketasubramanian, Juan Liang, Tara Templin, Arindam Basu, Farshad Farzadfar, Yang Yang, Xuan Che, Scott Weichenthal, Jeyaraj D Pandian, David L. Tirschwell, Adrian Davis, Hilton Lam, Feng Tan, Stephen S Lim, Soewarta Kosen, Atsushi Goto, Ratilal Lalloo, Yanping Wang, Glen Mola, Paulo A. Lotufo, Dhruv S. Kazi, Jose C. Adsuar, Amany H Refaat, Ruben Castro, Gene F. Kwan, Johanna M. Geleijnse, Emerito Jose A. Faraon, Costas A. Christophi, Theo Vos, Sara Sheikhbahaei, Guilherme V. Polanczyk, Jed D. Blore, Azmeraw T. Amare, Kyle R. Heuton, Walid Ammar, Louisa Degenhardt, Andrew Vallely, Guohong Jiang, Ricky Leung, Jasvinder A. Singh, Zewdie Aderaw Alemu, A Artaman, Steven E. Lipshultz, Carlos A Castañeda-Orjuela, Seyed-Mohammad Fereshtehnejad, Sadaf G. Sepanlou, Mark J. Nieuwenhuijsen, John Q. Wong, Manami Inoue, Coen H. Van Gool, James D. Wilkinson, Ejaz Ahmad Khan, Yoshihiro Kokubo, Manuela Mendonca Felicio, Farshad Pourmalek, Boris I. Pavlin, Karen Sliwa, Robert G. Nelson, Tom Achoki, Edmond K. Kabagambe, Orish Ebere Orisakwe, Christopher J L Murray, In-Hwan Oh, Uchechukwu K.A. Sampson, Ulrich O Mueller, Austin E Schumacher, Edson Serván-Mori, Berrak Bora Basara, Simon I. Hay, Anil Kaul, Foad Abd-Allah, Takayoshi Ohkubo, Kim Yun Jin, Abdullah Sulieman Terkawi, Mall Leinsalu, Sergei Petrovich Ermakov, Marek Majdan, Ileana B. Heredia Pi, Christina Papachristou, Scott B. Patten, Rajeev Gupta, Kalpana Balakrishnan, Mustafa Z. Younis, Kenji Shibuya, Graça Maria Ferreira De Lima, Andrea P. Silva, Maziar Moradi-Lakeh, Anand Dayama, Eiman Jahangir, Stefan Ma, Karen M. Tabb, Nicholas J Kassebaum, Shams Eldin Ali Hassan Khalifa, Mazin J. Al Kahbouri, Nadim E. Karam, Jun Zhu, Chandrashekhar T Sreeramareddy, Dinorah González-Castell, Diego Gonzalez-Medina, Aliya Naheed, Ryan M Barber, Salvador Villalpando, Yang Liu, Chanda Kulkarni, Vinay Nangia, Haidong Wang, Yongmei Li, Rosario Cárdenas, Randah R. Hamadeh, Suzanne Polinder, Van C. Lansingh, François Alla, Max Petzold, Bryan L. Sykes, Ubai Alsharif, Chuanhua Yu, Francesco Saverio Violante, Monika Sawhney, Ayse Abbasoglu Ozgoren, Graeme J. Hankey, Mouhanad Hammami, Iuri da Costa Leite, Dickens Akena, Rintaro Mori, Alanur Çavlin, Maia Kereselidze, Jonathan de la Cruz Monis, Deena Alasfoor, Taavi Lai, Eric Y. Tenkorang, Cyrus Cooper, Sudan Prasad Neupane, Dan Poenaru, Veena S. Kulkarni, Naohiro Yonemoto, Elizabeth Glaser, Sergey Soshnikov, Ziad A. Memish, Paul N. Jensen, Fabiola Mejía-Rodríguez, Ana C. Garcia, Rakhi Dandona, Emilie Agardh, Katherine B Gibney, Vasco Manuel Pedro Machado, Michelle L. Bell, David M. Pereira, Muluemebet Abera Wordofa, Samantha M. Colquhoun, Elena Alvarez, Stephen G. Waller, Ketevan Gambashidze, Eduardo Bernabé, Rafael Lozano, Damian G Hoy, Miltiadis K. Tsilimbaris, Hebe N. Gouda, Muhammad Imran Nisar, Zanfina Ademi, Andrew L. Thorne-Lyman, Denis Nash, Dima M. Qato, Luca Ronfani, Nobhojit Roy, Donald H. Silberberg, Monica S. Vavilala, Lydia S. Atkins, Hans W. Hoek, Muluken Dessalegn, David C. Schwebel, Christopher C. Mapoma, Jost B. Jonas, Tolesa Bekele, Lalit Dandona, Borja del Pozo-Cruz, Sumeet S. Chugh, Johan Ärnlöv, Tariku Jibat Beyene, Melvin Barrientos Marzan, Ami R. Moore, Marie Ng, Maigeng Zhou, Samia Alhabib, Massimo Cirillo, Soraya Seedat, Paul S. F. Yip, Nima Hafezi-Nejad, Amelia Bertozzi-Villa, Kebede Deribe, John Nelson Opio, Peter J. Allen, Marina Shakh-Nazarova, Bach Xuan Tran, Arsène Kouablan Adou, Yingfeng Zheng, Julio Cesar Montañez Hernandez, Yong Zhao, Nelson Alvis-Guzman, Bulat Idrisov, Alireza Esteghamati, Seok Jun Yoon, Kathryn H. Jacobsen, Kassebaum, Nicholas J., Bertozzi-Villa, Amelia, Coggeshall, Megan S., Shackelford, Katya A., Steiner, Caitlyn, Heuton, Kyle R., Gonzalez-Medina, Diego, Barber, Ryan, Huynh, Chantal, Dicker, Daniel, Templin, Tara, Wolock, Timothy M., Ozgoren, Ayse Abbasoglu, Abd-Allah, Foad, Abera, Semaw Ferede, Abubakar, Ibrahim, Achoki, Tom, Adelekan, Ademola, Ademi, Zanfina, Adou, Arsène Kouablan, Adsuar, José C., Agardh, Emilie E., Akena, Dicken, Alasfoor, Deena, Alemu, Zewdie Aderaw, Alfonso-Cristancho, Rafael, Alhabib, Samia, Ali, Raghib, Al Kahbouri, Mazin J., Alla, Françoi, Allen, Peter J., Almazroa, Mohammad A., Alsharif, Ubai, Alvarez, Elena, Alvis-Guzmán, Nelson, Amankwaa, Adansi A., Amare, Azmeraw T., Amini, Hassan, Ammar, Walid, Antonio, Carl A.T., Anwari, Palwasha, Ärnlöv, Johan, Arsenijevic, Valentina S. Arsic, Artaman, Ali, Asad, Majed Masoud, Asghar, Rana J., Assadi, Reza, Atkins, Lydia S., Badawi, Alaa, Balakrishnan, Kalpana, Basu, Arindam, Basu, Sanjay, Beardsley, Justin, Bedi, Neeraj, Bekele, Tolesa, Bell, Michelle L., Bernabe, Eduardo, Beyene, Tariku J., Bhutta, Zulfiqar, Abdulhak, Aref Bin, Blore, Jed D., Basara, Berrak Bora, Bose, Dipan, Breitborde, Nichola, Cárdenas, Rosario, Castañeda-Orjuela, Carlos A., Castro, Ruben Estanislao, Catalá-López, Ferrán, Cavlin, Alanur, Chang, Jung-Chen, Che, Xuan, Christophi, Costas A., Chugh, Sumeet S., Cirillo, Massimo, Colquhoun, Samantha M., Cooper, Leslie Trumbull, Cooper, Cyru, Da Costa Leite, Iuri, Dandona, Lalit, Dandona, Rakhi, Davis, Adrian, Dayama, Anand, Degenhardt, Louisa, De Leo, Diego, Del Pozo-Cruz, Borja, Deribe, Kebede, Dessalegn, Muluken, Deveber, Gabrielle A., Dharmaratne, Samath D., Dilmen, Uʇur, Ding, Eric L., Dorrington, Rob E., Driscoll, Tim R., Ermakov, Sergei Petrovich, Esteghamati, Alireza, Faraon, Emerito Jose A., Farzadfar, Farshad, Felicio, Manuela Mendonca, Fereshtehnejad, Seyed-Mohammad, De Lima, Graça Maria Ferreira, Forouzanfar, Mohammad H., França, Elisabeth B., Gaffikin, Lynne, Gambashidze, Ketevan, Gankpé, Fortuné Gbètoho, Garcia, Ana C., Geleijnse, Johanna M., Gibney, Katherine B., Giroud, Maurice, Glaser, Elizabeth L., Goginashvili, Ketevan, Gona, Philimon, González-Castell, Dinorah, Goto, Atsushi, Gouda, Hebe N., Gugnani, Harish Chander, Gupta, Rahul, Gupta, Rajeev, Hafezi-Nejad, Nima, Hamadeh, Randah Ribhi, Hammami, Mouhanad, Hankey, Graeme J., Harb, Hilda L., Havmoeller, Rasmu, Hay, Simon I., Pi, Ileana B. Heredia, Hoek, Hans W., Hosgood, H Dean, Hoy, Damian G., Husseini, Abdullatif, Idrisov, Bulat T., Innos, Kaire, Inoue, Manami, Jacobsen, Kathryn H., Jahangir, Eiman, Jee, Sun Ha, Jensen, Paul N., Jha, Vivekanand, Jiang, Guohong, Jonas, Jost B., Juel, Knud, Kabagambe, Edmond Kato, Kan, Haidong, Karam, Nadim E., Karch, André, Karema, Corine Kakizi, Kaul, Anil, Kawakami, Norito, Kazanjan, Konstantin, Kazi, Dhruv S., Kemp, Andrew H., Kengne, Andre Pascal, Kereselidze, Maia, Khader, Yousef Saleh, Khalifa, Shams Eldin Ali Hassan, Khan, Ejaz Ahmed, Khang, Young-Ho, Knibbs, Luke, Kokubo, Yoshihiro, Kosen, Soewarta, Defo, Barthelemy Kuate, Kulkarni, Chanda, Kulkarni, Veena S., Kumar, G. Anil, Kumar, Kaushalendra, Kumar, Ravi B., Kwan, Gene, Lai, Taavi, Lalloo, Ratilal, Lam, Hilton, Lansingh, Van C., Larsson, Ander, Lee, Jong-Tae, Leigh, Jame, Leinsalu, Mall, Leung, Ricky, Li, Xiaohong, Li, Yichong, Li, Yongmei, Liang, Juan, Liang, Xiaofeng, Lim, Stephen S., Lin, Hsien-Ho, Lipshultz, Steven E., Liu, Shiwei, Liu, Yang, Lloyd, Belinda K., London, Stephanie J., Lotufo, Paulo A., Ma, Jixiang, Ma, Stefan, Machado, Vasco Manuel Pedro, Mainoo, Nana Kwaku, Majdan, Marek, Mapoma, Christopher Chabila, Marcenes, Wagner, Marzan, Melvin Barriento, Mason-Jones, Amanda J., Mehndiratta, Man Mohan, Mejia-Rodriguez, Fabiola, Memish, Ziad A., Mendoza, Walter, Miller, Ted R., Mills, Edward J., Mokdad, Ali H., Mola, Glen Liddell, Monasta, Lorenzo, De La Cruz Monis, Jonathan, Hernandez, Julio Cesar Montañez, Moore, Ami R., Moradi-Lakeh, Maziar, Mori, Rintaro, Mueller, Ulrich O., Mukaigawara, Mitsuru, Naheed, Aliya, Naidoo, Kovin S., Nand, Devina, Nangia, Vinay, Nash, Deni, Nejjari, Chakib, Nelson, Robert G., Neupane, Sudan Prasad, Newton, Charles R., Ng, Marie, Nieuwenhuijsen, Mark J., Nisar, Muhammad Imran, Nolte, Sandra, Norheim, Ole F., Nyakarahuka, Luke, Oh, In-Hwan, Ohkubo, Takayoshi, Olusanya, Bolajoko O., Omer, Saad B., Opio, John Nelson, Orisakwe, Orish Ebere, Pandian, Jeyaraj D., Papachristou, Christina, Park, Jae-Hyun, Paternina Caicedo, Angel J., Patten, Scott B., Paul, Vinod K., Pavlin, Boris Igor, Pearce, Neil, Pereira, David M., Pesudovs, Konrad, Petzold, Max, Poenaru, Dan, Polanczyk, Guilherme V., Polinder, Suzanne, Pope, Dan, Pourmalek, Farshad, Qato, Dima, Quistberg, D. Alex, Rafay, Anwar, Rahimi, Kazem, Rahimi-Movaghar, Vafa, Ur Rahman, Sajjad, Raju, Murugesan, Rana, Saleem M., Refaat, Amany, Ronfani, Luca, Roy, Nobhojit, Pimienta, Tania Georgina Sánchez, Sahraian, Mohammad Ali, Salomon, Joshua A., Sampson, Uchechukwu, Santos, Itamar S., Sawhney, Monika, Sayinzoga, Felix, Schneider, Ione J.C., Schumacher, Austin, Schwebel, David C., Seedat, Soraya, Sepanlou, Sadaf G., Servan-Mori, Edson E., Shakh-Nazarova, Marina, Sheikhbahaei, Sara, Shibuya, Kenji, Shin, Hwashin Hyun, Shiue, Ivy, Sigfusdottir, Inga Dora, Silberberg, Donald H., Silva, Andrea P., Singh, Jasvinder A., Skirbekk, Vegard, Sliwa, Karen, Soshnikov, Sergey S., Sposato, Luciano A., Sreeramareddy, Chandrashekhar T., Stroumpoulis, Konstantino, Sturua, Lela, Sykes, Bryan L., Tabb, Karen M., Talongwa, Roberto Tchio, Tan, Feng, Teixeira, Carolina Maria, Tenkorang, Eric Yeboah, Terkawi, Abdullah Sulieman, Thorne-Lyman, Andrew L., Tirschwell, David L., Towbin, Jeffrey A., Tran, Bach X., Tsilimbaris, Miltiadi, Uchendu, Uche S., Ukwaja, Kingsley N., Undurraga, Eduardo A., Uzun, Selen Begüm, Vallely, Andrew J., Van Gool, Coen H., Vasankari, Tommi J., Vavilala, Monica S., Venketasubramanian, N., Villalpando, Salvador, Violante, Francesco S., Vlassov, Vasiliy Victorovich, Vos, Theo, Waller, Stephen, Wang, Haidong, Wang, Linhong, Wang, Xiao Rong, Wang, Yanping, Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G., Westerman, Ronny, Wilkinson, James D., Woldeyohannes, Solomon Meseret, Wong, John Q., Wordofa, Muluemebet Abera, Xu, Gelin, Yang, Yang C., Yano, Yuichiro, Yentur, Gokalp Kadri, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Younis, Mustafa Z., Yu, Chuanhua, Jin, Kim Yun, El Sayed Zaki, Maysaa, Zhao, Yong, Zheng, Yingfeng, Zhou, Maigeng, Zhu, Jun, Zou, Xiao Nong, Lopez, Alan D., Naghavi, Mohsen, Murray, Christopher J.L., Lozano, Rafael, Kassebaum, Nj, Bertozzi-Villa, A, Coggeshall, M, Shackelford, Ka, Steiner, C, Heuton, Kr, Gonzalez-Medina, D, Barber, R, Huynh, C, Dicker, D, Templin, T, Wolock, Tm, Ozgoren, Aa, Abd-Allah, F, Abera, Sf, Achoki, T, Adelekan, A, Ademi, Z, Adou, Ak, Adsuar, Jc, Agardh, Ee, Akena, D, Alasfoor, D, Alemu, Za, Alfonso-Cristancho, R, Alhabib, S, Ali, R, Al Kahbouri, Mj, Alla, F, Allen, Pj, Almazroa, Ma, Alsharif, U, Alvarez, E, Alvis-Guzmán, N, Amankwaa, Aa, Amare, At, Amini, H, Ammar, W, Antonio, Ca, Anwari, P, Arnlöv, J, Arsenijevic, V, Artaman, A, Asad, Mm, Asghar, Rj, Assadi, R, Atkins, L, Badawi, A, Balakrishnan, K, Basu, A, Basu, S, Beardsley, J, Bedi, N, Bekele, T, Bell, Ml, Bernabe, E, Beyene, Tj, Bhutta, Z, Bin Abdulhak, A, Blore, J, Basara, Bb, Bose, D, Breitborde, N, Cárdenas, R, Castañeda-Orjuela, Ca, Castro, Re, Catalá-López, F, Cavlin, A, Chang, Jc, Che, X, Christophi, Ca, Chugh, S, Cirillo, M, Colquhoun, Sm, Cooper, Lt, Cooper, C, da Costa Leite, I, Dandona, L, Dandona, R, Davis, A, Dayama, A, Degenhardt, L, De Leo, D, Del Pozo-Cruz, B, Deribe, K, Dessalegn, M, Deveber, Ga, Dharmaratne, Sd, Dilmen, U, Ding, El, Dorrington, Re, Driscoll, Tr, Ermakov, Sp, Esteghamati, A, Faraon, Ej, Farzadfar, F, Felicio, Mm, Fereshtehnejad, Sm, de Lima, Gm, Forouzanfar, Mh, França, Eb, Gaffikin, L, Gambashidze, K, Gankpé, Fg, Garcia, Ac, Geleijnse, Jm, Gibney, Kb, Giroud, M, Glaser, El, Goginashvili, K, Gona, P, González-Castell, D, Goto, A, Gouda, Hn, Gugnani, Hc, Gupta, R, Hafezi-Nejad, N, Hamadeh, Rr, Hammami, M, Hankey, Gj, Harb, Hl, Havmoeller, R, Hay, S, Pi, Ib, Hoek, Hw, Hosgood, Hd, Hoy, Dg, Husseini, A, Idrisov, Bt, Innos, K, Inoue, M, Jacobsen, Kh, Jahangir, E, Jee, Sh, Jensen, Pn, Jha, V, Jiang, G, Juel, K, Kabagambe, Ek, Kan, H, Karam, Ne, Karch, A, Karema, Ck, Kaul, A, Kawakami, N, Kazanjan, K, Kazi, D, Kemp, Ag, Kengne, Ap, Kereselidze, M, Khader, Y, Khalifa, Se, Khan, Ea, Khang, Yh, Knibbs, L, Kokubo, Y, Kosen, S, Defo, Bk, Kulkarni, C, Kulkarni, V, Kumar, Ga, Kumar, K, Kumar, Rb, Kwan, G, Lai, T, Lalloo, R, Lam, H, Lansingh, Vc, Larsson, A, Lee, Jt, Leigh, J, Leinsalu, M, Leung, R, Li, X, Li, Y, Liang, J, Liang, X, Lim, S, Lin, Hh, Lipshultz, Se, Liu, S, Liu, Y, Lloyd, Bk, London, Sj, Lotufo, Pa, Ma, J, Ma, S, Machado, Vm, Mainoo, Nk, Majdan, M, Mapoma, Cc, Marcenes, W, Marzan, Mb, Mason-Jones, Aj, Mehndiratta, Mm, Mejia-Rodriguez, F, Memish, Za, Mendoza, W, Miller, Tr, Mills, Ej, Mokdad, Ah, Mola, Gl, Monasta, L, de la Cruz Monis, J, Hernandez, Jc, Moore, Ar, Mori, R, Mueller, Uo, Mukaigawara, M, Naheed, A, Naidoo, K, Nand, D, Nangia, V, Nash, D, Nejjari, C, Nelson, Rg, Neupane, Sp, Newton, Cr, Ng, M, Nieuwenhuijsen, Mj, Nisar, Mi, Nolte, S, Norheim, Of, Nyakarahuka, L, Oh, Ih, Ohkubo, T, Olusanya, Bo, Omer, Sb, Opio, Jn, Orisakwe, Oe, Pandian, Jd, Papachristou, C, Park, Jh, Caicedo, Aj, Patten, Sb, Paul, Vk, Pavlin, Bi, Pearce, N, Pereira, Dm, Pesudovs, K, Petzold, M, Poenaru, D, Polanczyk, Gv, Polinder, S, Pope, D, Pourmalek, F, Qato, D, Quistberg, Da, Rafay, A, Rahimi, K, Rahimi-Movaghar, V, Ur Rahman, S, Raju, M, Rana, Sm, Refaat, A, Ronfani, L, Roy, N, Pimienta, Tg, Sahraian, Ma, Salomon, J, Sampson, U, Santos, I, Sawhney, M, Sayinzoga, F, Schneider, Ij, Schumacher, A, Schwebel, Dc, Seedat, S, Sepanlou, Sg, Servan-Mori, Ee, Shakh-Nazarova, M, Sheikhbahaei, S, Shibuya, K, Shin, Hh, Shiue, I, Sigfusdottir, Id, Silberberg, Dh, Silva, Ap, Singh, Ja, Skirbekk, V, Sliwa, K, Soshnikov, S, Sposato, La, Sreeramareddy, Ct, Stroumpoulis, K, Sturua, L, Sykes, Bl, Tabb, Km, Talongwa, Rt, Tan, F, Teixeira, Cm, Tenkorang, Ey, Terkawi, A, Thorne-Lyman, Al, Tirschwell, Dl, Towbin, Ja, Tran, Bx, Tsilimbaris, M, Uchendu, U, Ukwaja, Kn, Undurraga, Ea, Uzun, Sb, Vallely, Aj, van Gool, Ch, Vasankari, Tj, Vavilala, M, Venketasubramanian, N, Villalpando, S, Violante, F, Vlassov, Vv, Vos, T, Waller, S, Wang, H, Wang, L, Wang, Sx, Wang, Y, Weichenthal, S, Weiderpass, E, Weintraub, Rg, Westerman, R, Wilkinson, Jd, Woldeyohannes, Sm, Wong, Jq, Wordofa, Ma, Xu, G, Yang, Yc, Yano, Y, Yentur, Gk, Yip, P, Yonemoto, N, Yoon, Sj, Younis, Mz, Yu, C, Jin, Ky, El Sayed Zaki, M, Zhao, Y, Zheng, Y, Zhou, M, Zhu, J, Zou, Xn, Lopez, Ad, Naghavi, M, Murray, Cj, Lozano, R, Cell biology, Epidemiology, Public Health, Erasmus MC other, Cardiothoracic Surgery, and Pathology

Subjects
Pediatrics, Time Factors, Nutrition and Disease, hiv-infection, immunodeficiency virus-1 infection, peripartum cardiomyopathy, Poison control, HIV Infections, IMMUNODEFICIENCY VIRUS-1 INFECTION, Socioeconomic Factor, Global Health, 0302 clinical medicine, PERIPARTUM CARDIOMYOPATHY, pregnancy-related mortality, Risk Factors, Pregnancy, Voeding en Ziekte, Cause of Death, Global health, HIV Infection, 030212 general & internal medicine, Pregnancy Complications, Infectious, 10. No inequality, Cause of death, 030219 obstetrics & reproductive medicine, south-africa, Medicine (all), 1. No poverty, WOMEN, PREGNANCY-RELATED MORTALITY, health initiatives, General Medicine, SOUTH-AFRICA, 3. Good health, Maternal Mortality, World Health, CHILD SURVIVAL, Female, Maternal death, women, Human, medicine.medical_specialty, Time Factor, DEATHS, child survival, Article, adult mortality, 03 medical and health sciences, Age Distribution, HEALTH INITIATIVES, SDG 3 - Good Health and Well-being, HIV-INFECTION, ADULT MORTALITY, Injury prevention, medicine, Organizational Objectives, Organizational Objective, Humans, VLAG, Models, Statistical, business.industry, Risk Factor, medicine.disease, deaths, Standardized mortality ratio, Socioeconomic Factors, Relative risk, Pregnancy Complications, Infectiou, business, Demography
Abstract

BACKGROUND: The fifth Millennium Development Goal (MDG 5) established the goal of a 75% reduction in the maternal mortality ratio (MMR; number of maternal deaths per 100,000 livebirths) between 1990 and 2015. We aimed to measure levels and track trends in maternal mortality, the key causes contributing to maternal death, and timing of maternal death with respect to delivery.METHODS: We used robust statistical methods including the Cause of Death Ensemble model (CODEm) to analyse a database of data for 7065 site-years and estimate the number of maternal deaths from all causes in 188 countries between 1990 and 2013. We estimated the number of pregnancy-related deaths caused by HIV on the basis of a systematic review of the relative risk of dying during pregnancy for HIV-positive women compared with HIV-negative women. We also estimated the fraction of these deaths aggravated by pregnancy on the basis of a systematic review. To estimate the numbers of maternal deaths due to nine different causes, we identified 61 sources from a systematic review and 943 site-years of vital registration data. We also did a systematic review of reports about the timing of maternal death, identifying 142 sources to use in our analysis. We developed estimates for each country for 1990-2013 using Bayesian meta-regression. We estimated 95% uncertainty intervals (UIs) for all values.FINDINGS: 292,982 (95% UI 261,017-327,792) maternal deaths occurred in 2013, compared with 376,034 (343,483-407,574) in 1990. The global annual rate of change in the MMR was -0·3% (-1·1 to 0·6) from 1990 to 2003, and -2·7% (-3·9 to -1·5) from 2003 to 2013, with evidence of continued acceleration. MMRs reduced consistently in south, east, and southeast Asia between 1990 and 2013, but maternal deaths increased in much of sub-Saharan Africa during the 1990s. 2070 (1290-2866) maternal deaths were related to HIV in 2013, 0·4% (0·2-0·6) of the global total. MMR was highest in the oldest age groups in both 1990 and 2013. In 2013, most deaths occurred intrapartum or postpartum. Causes varied by region and between 1990 and 2013. We recorded substantial variation in the MMR by country in 2013, from 956·8 (685·1-1262·8) in South Sudan to 2·4 (1·6-3·6) in Iceland.INTERPRETATION: Global rates of change suggest that only 16 countries will achieve the MDG 5 target by 2015. Accelerated reductions since the Millennium Declaration in 2000 coincide with increased development assistance for maternal, newborn, and child health. Setting of targets and associated interventions for after 2015 will need careful consideration of regions that are making slow progress, such as west and central Africa.FUNDING: Bill & Melinda Gates Foundation.

Published
2016

32. 6-Methoxyflavone antagonizes chronic constriction injury and diabetes associated neuropathic nociception expression.

Author

Shahid M, Subhan F, Ahmad N, Din ZU, Ullah I, Ur Rahman S, Ullah R, Farooq U, Alam J, Nawaz NUA, Abbas S, and Sewell RDE

Subjects
Animals, Rats, Male, Diabetes Mellitus, Experimental complications, Diabetes Mellitus, Experimental drug therapy, Gabapentin pharmacology, Gabapentin therapeutic use, Nociception drug effects, Diabetic Neuropathies drug therapy, Diabetic Neuropathies metabolism, Female, gamma-Aminobutyric Acid metabolism, Amines pharmacology, Amines therapeutic use, Sciatic Nerve injuries, Sciatic Nerve drug effects, Vulvodynia drug therapy, Constriction, Neuroprotective Agents pharmacology, Neuroprotective Agents therapeutic use, Analgesics pharmacology, Analgesics therapeutic use, Rats, Sprague-Dawley, Neuralgia drug therapy, Neuralgia etiology, Flavones pharmacology, Flavones therapeutic use, Hyperalgesia drug therapy
Abstract

Neuropathy is a disturbance of function or a pathological change in nerves causing poor health and quality of life. A proportion of chronic pain patients in the community suffer persistent neuropathic pain symptoms because current drug therapies may be suboptimal so there is a need for new therapeutic modalities. This study investigated the neuroprotective flavonoid, 6-methoxyflavone (6MF), as a potential therapeutic agent and gabapentin as the standard comparator, against neuropathic models. Thus, neuropathic-like states were induced in Sprague-Dawley rats using sciatic nerve chronic constriction injury (CCI) mononeuropathy and systemic administration of streptozotocin (STZ) to induce polyneuropathy. Subsequent behaviors reflecting allodynia, hyperalgesia, and vulvodynia were assessed and any possible motoric side-effects were evaluated including locomotor activity, as well as rotarod discoordination and gait disruption. 6MF (25-75 mg/kg) antagonized neuropathic-like nociceptive behaviors including static- (pressure) and dynamic- (light brushing) hindpaw allodynia plus heat/cold and pressure hyperalgesia in the CCI and STZ models. 6MF also reduced static and dynamic components of vulvodynia in the STZ induced polyneuropathy model. Additionally, 6MF reversed CCI and STZ suppression of locomotor activity and rotarod discoordination, suggesting a beneficial activity on motor side effects, in contrast to gabapentin. Hence, 6MF possesses anti-neuropathic-like activity not only against different nociceptive modalities but also impairment of motoric side effects., Competing Interests: Declaration of competing interest The authors declare that they have no conflicts of interest., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Published
2024
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33. Association of water stress and Fusarium solani exacerbated Dalbergia sissoo dieback disease.

Author

Muhammad AJ, Bilal Zia M, Yasin G, Naseer J, Alharbi SA, Alfarraj S, Javed Ansari M, Du Z, and Ur Rahman S

Subjects
Plant Leaves microbiology, Dehydration, Chlorophyll metabolism, Seedlings microbiology, Water, Alternaria physiology, Alternaria pathogenicity, Fusarium pathogenicity, Fusarium physiology, Plant Diseases microbiology
Abstract

Globally, there is a growing concern about tree mortality due to harsh climates and changes in pest and disease patterns. However, experimental studies on the interactions between biotic and abiotic stresses in plants are relatively scarce. In this study, we investigated the interaction between Fusarium solani and water-stressed Dalbergia sissoo saplings. We postulated that under drought conditions, sissoo plants would become more susceptible to dieback infestation. Five fungi, including Fusarium oxysporum, Curvularia lunata, Cladophialophora carrionii, Alternaria alternaria, and Fusarium solani, were isolated from an old shisham tree showing advanced symptoms of dieback infestation. These fungi were identified based on their ITS sequence homology and spore characteristics. Dieback development was more pronounced in plants experiencing water stress, regardless of their predisposition or whether it occurred simultaneously. Lesions were more noticeable and longer in predisposed saplings (3.8cm), followed by simultaneous (2.4cm) and much smaller lesions in seedlings that were inoculated and well-watered (0.24cm). Progressive browning of the upper leaves, which lowers sapling height in predisposed, simultaneous, and well-watered inoculated saplings to 8.09 inches, 5.93 inches, and 17.42 inches, are typical dieback symptoms. Water stress causes the loss of chlorophyll a, b, and carotenoids, which reduces stomatal conductance, transpiration rate, and photosynthetic activity, leading to poor development and mortality. Similarly, predisposed, simultaneous, and well-watered inoculated seedlings expressed increased activity of CAT (22.57, 18.148, and 9.714 U/mg) and POD (3.0, 4.848, 1.246 U/mg), to reduce the damage caused by elevated levels of H2O2 expression. It is concluded that water stress is the main cause of dieback in shisham saplings that subsequently disposed of infected seedlings to secondary agents such as fungi and insects in the advanced stages of the dieback with prolonged drought stress. The lack of dieback in native populations is attributed to the absence of several ecological stresses, including water stress, extended droughts, waterlogging, and salinity. This study emphasizes the need for additional research into the effects of abiotic factors linked with fungal diseases on the long-term production and management of D. sissoo in Pakistan.

Published
2024
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34. Comparative assessment of phytoremediation potential of four Ficus spp. under Semi-arid environmental conditions.

Author

Yasin G, Bin Yousaf MT, Uz Zaman Q, Farooq Azhar M, Muhammad AJ, Al Obaid S, Javed Ansari M, and Ur Rahman S

Subjects
Pakistan, Soil Pollutants analysis, Soil Pollutants metabolism, Ficus metabolism, Ficus chemistry, Biodegradation, Environmental, Metals, Heavy analysis, Metals, Heavy metabolism, Plant Leaves metabolism, Plant Leaves chemistry
Abstract

Heavy metals have been recognized as a prominent hazard in today's world, causing pollution in the air environment. Woody tree species can play a significant role in the extraction and remediation of metal pollutants from the air, therefore promoting the air quality index. This study investigated the potential of four species of the Ficus genus (F. benjamina, F. microcarpa, F. religiosa, and F. virens) to remediate varying levels of heavy metal contamination in industrial, residential, and highway areas of Faisalabad City, Pakistan. For this purpose, six heavy metals (cadmium, chromium, copper, lead, zinc, and manganese) were assessed in young leaves (YL) as well as old leaves (OL) of subjected tree species at selected study sites. Eight fully expanded leaves were selected from each tree species: two from each cardinal direction from the shoot of the current year (young leaves, YL), as well as from the shoot of the previous year (old leaves, OL). The results showed that the same genus has different capabilities to accumulate different heavy metals, and the overall trend was in the following order: F. virens > F. religiosa > F. benjamina > F. microcarpa at all study sites. The heavy metal contents in both YL and OL of selected tree species decreased in the order of Manganese (Mn)> Zinc (Zn)> Copper (Cu) > Chromium (Cr) > Lead (Pb) > Cadmium (Cd) at all study sites. The metal accumulation index (MAI) values ranged between 2.14-5.42 for F. benjamina, 2.09-3.89 for F. microcarpa, 3.61-7.01 for F. religiosa and 4.77-6.48 for F. virens across all study sites. Among the studied  tree species, it has been determined that F. virens and F. religiosa are well-suited for urban areas with significant heavy metal contamination and can be strategically planted in barrier areas to effectively combat atmospheric pollution.

Published
2024
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35. Novel acyl hydrazide derivatives of polyhydroquinoline as potent anti-diabetic and anti-glycating agents: Synthesis, in vitro α-amylase, α-glucosidase inhibition and anti-glycating activity with molecular docking insights.

Author

Ur Rahman S, Alam A, Parveen Z, Zainab, Assad M, Adnan Ali Shah S, Rafiq H, Ayaz M, Latif A, Naveed Umar M, Ali M, and Ahmad M

Subjects
Structure-Activity Relationship, Hydrazines chemistry, Hydrazines pharmacology, Hydrazines chemical synthesis, Molecular Structure, Humans, Dose-Response Relationship, Drug, Quinolines chemistry, Quinolines pharmacology, Quinolines chemical synthesis, Antiglycation Agents, alpha-Amylases antagonists & inhibitors, alpha-Amylases metabolism, Molecular Docking Simulation, alpha-Glucosidases metabolism, Glycoside Hydrolase Inhibitors pharmacology, Glycoside Hydrolase Inhibitors chemical synthesis, Glycoside Hydrolase Inhibitors chemistry, Hypoglycemic Agents pharmacology, Hypoglycemic Agents chemistry, Hypoglycemic Agents chemical synthesis
Abstract

In this study, eleven novel acyl hydrazides derivative of polyhydroquinoline were synthesized, characterized and screened for their in vitro anti-diabetic and anti-glycating activities. Seven compounds 2a, 2d, 2i, 2 h, 2j, 2f, and 2 g exhibited notable α-amylase inhibitory activity having IC 50 values from 3.51 ± 2.13 to 11.92 ± 2.30 µM. Similarly, six compounds 2d, 2f, 2 h, 2i, 2j, and 2 g displayed potent α-glucosidase inhibitory activity compared to the standard acarbose. Moreover, eight derivatives 2d, 2 g, 2f, 2j, 2a, 2i, 2 g, and 2e showed excellent anti-glycating activity with IC 50 values from 6.91 ± 2.66 to 15.80 ± 1.87 µM when compared them with the standard rutin (IC 50  = 22.5 ± 0.90 µM). Molecular docking was carried out to predict the binding modes of all the compounds with α-amylase and α-glucosidase. The docking analysis revealed that most of the compounds established strong interactions with α-amylase and α-glucosidase. All compounds fitted well into the binding pockets of α-amylase and α-glucosidase. Among all compounds 2a and 2f were most potent based on docking score -8.2515 and -7.3949 against α-amylase and α-glucosidase respectively. These results hold promise for the development of novel candidates targeted at controlling postprandial glucose levels in individuals with diabetes., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Published
2024
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36. Distance and similarity measures on belief and plausibility under q-rung orthopair fuzzy sets with applications.

Author

Hussain R, Hussain Z, Sarhan NM, Juraev N, and Ur Rahman S

Abstract

Belief and plausibility functions based on evidence theory (ET) have been widely used in managing uncertainty. Various generalizations of ET to fuzzy sets (FSs) have been reported in the literature, but no generalization of ET to q-rung orthopair fuzzy sets (q-ROFSs) has been made yet. Therefore, this paper proposes a novel, simple, and intuitive approach to distance and similarity measures for q-ROFSs based on belief and plausibility functions within the framework of ET. This research addresses a significant research gap by introducing a comprehensive framework for handling uncertainty in q-ROFSs using ET. Furthermore, it acknowledges the limitations inherent in the current state of research, notably the absence of generalizations of ET to q-ROFSs and the challenges in extending belief and plausibility measures to certain aggregation operators and other generalizations including Hesitant fuzzy sets, Bipolar fuzzy sets, Fuzzy soft sets etc. Our contribution lies in the proposal of a novel approach to distance and similarity measures for q-ROFSs under ET, utilizing Orthopairian belief and plausibility intervals (OBPIs). We establish new similarity measures within the generalized ET framework and demonstrate the reasonability of our method through useful numerical examples. Additionally, we construct Orthopairian belief and plausibility GRA (OBP-GRA) for managing daily life complex issues, particularly in multicriteria decision-making scenarios. Numerical simulations and results confirm the usability and practical applicability of our proposed method in the framework of ET., (© 2024. The Author(s).)

Published
2024
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37. Designing and Synthesis of Novel Fexofenadine-Derived Hydrazone-Schiff Bases as Potential Urease Inhibitors: In-Vitro, Molecular Docking and DFT Investigations.

Author

Ayaz M, Alam A, Zainab, Elhenawy AA, Ur Rehman N, Ur Rahman S, Ali M, Latif A, Al-Harrasi A, and Ahmad M

Subjects
Density Functional Theory, Molecular Structure, Structure-Activity Relationship, Canavalia enzymology, Urease antagonists & inhibitors, Urease metabolism, Molecular Docking Simulation, Hydrazones chemistry, Hydrazones pharmacology, Hydrazones chemical synthesis, Enzyme Inhibitors chemistry, Enzyme Inhibitors pharmacology, Enzyme Inhibitors chemical synthesis, Schiff Bases chemistry, Schiff Bases pharmacology, Schiff Bases chemical synthesis, Drug Design, Terfenadine analogs & derivatives, Terfenadine chemistry, Terfenadine metabolism, Terfenadine pharmacology, Terfenadine chemical synthesis
Abstract

Thirteen novel hydrazone-Schiff bases (3-15) of fexofenadine were succesfully synthesized, structurally deduced and finally assessed their capability to inhibit urease enzyme (in vitro). In the series, six compounds 12 (IC 50 =10.19±0.16 μM), 11 (IC 50 =15.05±1.11 μM), 10 (IC 50 =17.01±1.23 μM), 9 (IC 50 =17.22±0.81 μM), 13 (IC 50 =19.31±0.18 μM), and 14 (IC 50 =19.62±0.21 μM) displayed strong inhibitory action better than the standard thiourea (IC 50 =21.14±0.24 μM), while the remaining compounds displayed significant to less inhibition. LUMO and HOMO showed the transferring of charges from molecules to biological transfer and MEP map showed the chemically reactive zone appropriate for drug action are calculated using DFT. AIM charges, non-bonding orbitals, and ELF are also computed. The urease protein binding analysis benefited from the docking studies., (© 2024 Wiley-VHCA AG, Zurich, Switzerland.)

Published
2024
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38. Remediation of lead toxicity with waste-bio materials from aqueous solutions in fixed-bed column using response surface methodology.

Author

Manzoor Shah A, Mustafa Khan I, Du Z, Rasool R, Habib Kant R, Mir S, Sheikh TA, Jeelani Wani F, Ayoub Bhat M, Bhat JA, Chesti MH, Ganie MA, Hanif Mir Y, Dolker T, Alharbi SA, Alahmadi TA, and Ur Rahman S

Abstract

Heavy metal ions pose significant risks to human health, pelagic, and several other life forms due to perniciousness, tendency to accumulate, and resistance to biodegradation. Waste bio-materials extend a budding alternative as low-cost adsorbent to address the removal of noxious pollutants from wastewater on account of being cost-effective and exhibiting exceptional adsorption capacities. The current exploration was accomplished to gauge the performance of raw and modified human hair concerning lead scavenging in a down-flow fixed bed column. The appraisal of column performance under varying operational parameters encompassing bed height (15-45 cm), influent metal ion concentration (60-140 mg L -1 ), and a solution flow rate (20-40 mL min -1 ) was performed by breakthrough curve analysis. The consequences acquired were evaluated using the Yoon Nelson, Thomas, Adam-Bohart, and Bed Depth Service Time (BDST) model. Among these employed models, Bed Depth Service Time (BDST) and Thomas models exhibited the highest R-squared value compared to the Yoon Nelson and Adam-Bohart's model for most cases. In addition, the optimization of lead adsorption was followed using the Box-Behnken design of response surface methodology (RSM). The optimal conditions (desirability-1.00) for achieving a goal of maximum percent removal of lead ions were marked to be a bed height of 42.79 cm, solution flow rate of 20.92 mL min -1, and an initial metal concentration of 139.51 mg L -1 . Under these optimized conditions, the percent amputation of lead in a fixed bed was observed to be 82.31 %, while the results of the experiment performed approximately under these optimized conditions revealed a percent removal of 85.05 %, reflecting a reasonable conformity with values acquired through Box-Behnken design., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors.)

Published
2024
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39. Does green investment affect environment pollution: Evidence from asymmetric ARDL approach?

Author

Shen Y, Ur Rahman S, Hafiza NS, Meo MS, and Ali MSE

Subjects
Investments, Carbon Dioxide analysis, Economic Development, Environmental Pollution analysis, Sustainable Development
Abstract

Pollution in the environment is today the biggest issue facing the globe and the main factor in the development of many fatal diseases. The main objective of the study to investigate green investments, economic growth and financial development on environmental pollution in the G-7 countries. This study used annual penal data from 1997 to 2021. The panel NARDL (Non-linear autoregressive distributed lag) results affirm that the positive change of green investment and negative shock in green investment have a significant and positive association with environment pollution in G-7 nations. Our findings provide more evidence for the long-term asymmetry between financial development and environmental performance. However, the findings confirm that a positive modification in financial development has a positive and significant effect on environment pollution. Whereas negative shock in financial development is negative and insignificant relationship with environment pollution. Moreover, the outcomes of the study reveal that both positive shock in gross domestic product growth and negative shock of economic growth have a significant and positive link with environment pollution in G-7 countries. According to the findings, by lowering carbon dioxide emissions, green investments reduced environmental pollution in the G-7 nations over the long and short term. Moreover, it is an innovative research effort that provides light on the connection between green investments, financial development, and the environment while making mention to the EKC in G-7 countries. After all these, our recommendation is to increases green investment expenditures to reduce environmental pollution in the G-7 nations based on our findings. Additionally, one important way for the nation to achieve its sustainable development goals is to improve advancements in the financial sector., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Shen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Published
2024
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40. Biochar impacts on carbon dioxide, methane emission, and cadmium accumulation in rice from Cd-contaminated soils; A meta-analysis.

Author

Khaliq MA, Alsudays IM, Alhaithloul HAS, Rizwan M, Yong JWH, Ur Rahman S, Sagir M, Bashir S, Ali H, and Hongchao Z

Subjects
Cadmium analysis, Soil, Carbon Dioxide analysis, Sewage, Methane, Carbon, Charcoal, Arachis, Oryza, Soil Pollutants analysis
Abstract

Climate change and cadmium (Cd) contamination pose severe threats to rice production and food security. Biochar (BC) has emerged as a promising soil amendment for mitigating these challenges. To investigate the BC effects on paddy soil upon GHG emissions, Cd bioavailability, and its accumulation, a meta-analysis of published data from 2000 to 2023 was performed. Data Manager 5.3 and GetData plot Digitizer software were used to obtain and process the data for selected parameters. Our results showed a significant increase of 18% in soil pH with sewage sludge BC application, while 9% increase in soil organic carbon (SOC) using bamboo chips BC. There was a significant reduction in soil bulk density (8%), but no significant effects were observed for soil porosity, except for wheat straw BC which reduced the soil porosity by 6%. Sewage sludge and bamboo chips BC significantly reduced carbon dioxide (CO 2 ) by 7-8% while municipal biowaste reduced methane (CH 4 ) emissions by 2%. In the case of heavy metals, sunflower seedshells-derived materials and rice husk BC significantly reduced the bioavailable Cd in paddy soils by 24% and 12%, respectively. Cd uptake by rice roots was lowered considerably by the addition of kitchen waste (22%), peanut hulls (21%), and corn cob (15%) based BC. Similarly, cotton sticks, kitchen waste, peanut hulls, and rice husk BC restricted Cd translocation from rice roots to shoots by 22%, 27%, 20%, and 19%, respectively, while sawdust and rice husk-based BC were effective for reducing Cd accumulation in rice grains by 25% and 13%. Regarding rice yield, cotton sticks-based BC significantly increased the yield by 37% in Cd-contaminated paddy soil. The meta-analysis demonstrated that BC is an effective and multi-pronged strategy for sustainable and resilient rice cultivation by lowering greenhouse gas emissions and Cd accumulation while improving yields under the increasing threat of climate change., Competing Interests: Declaration of Competing Interest The authors declared that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Published
2024
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41. Pb uptake, accumulation, and translocation in plants: Plant physiological, biochemical, and molecular response: A review.

Author

Ur Rahman S, Qin A, Zain M, Mushtaq Z, Mehmood F, Riaz L, Naveed S, Ansari MJ, Saeed M, Ahmad I, and Shehzad M

Abstract

Lead (Pb) is a highly toxic contaminant that is ubiquitously present in the ecosystem and poses severe environmental issues, including hazards to soil-plant systems. This review focuses on the uptake, accumulation, and translocation of Pb metallic ions and their toxicological effects on plant morpho-physiological and biochemical attributes. We highlight that the uptake of Pb metal is controlled by cation exchange capacity, pH, size of soil particles, root nature, and other physio-chemical limitations. Pb toxicity obstructs seed germination, root/shoot length, plant growth, and final crop-yield. Pb disrupts the nutrient uptake through roots, alters plasma membrane permeability, and disturbs chloroplast ultrastructure that triggers changes in respiration as well as transpiration activities, creates the reactive oxygen species (ROS), and activates some enzymatic and non-enzymatic antioxidants. Pb also impairs photosynthesis, disrupts water balance and mineral nutrients, changes hormonal status, and alters membrane structure and permeability. This review provides consolidated information concentrating on the current studies associated with Pb-induced oxidative stress and toxic conditions in various plants, highlighting the roles of different antioxidants in plants mitigating Pb-stress. Additionally, we discussed detoxification and tolerance responses in plants by regulating different gene expressions, protein, and glutathione metabolisms to resist Pb-induced phytotoxicity. Overall, various approaches to tackle Pb toxicity have been addressed; the phytoremediation techniques and biochar amendments are economical and eco-friendly remedies for improving Pb-contaminated soils., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors. Published by Elsevier Ltd.)

Published
2024
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42. Melatonin decreases GSDME mediated mesothelial cell pyroptosis and prevents peritoneal fibrosis and ultrafiltration failure.

Author

Ruan H, Li X, Zhou L, Zheng Z, Hua R, Wang X, Wang Y, Fan Y, Guo S, Wang L, Ur Rahman S, Wang Z, Wei Y, Yu S, Zhang R, Cheng Q, Sheng J, Li X, Liu X, Yuan R, Zhang X, Chen L, Xu G, Guan Y, Nie J, Qin H, and Zheng F

Subjects
Humans, Animals, Mice, Vascular Endothelial Growth Factor A, Pyroptosis, Ultrafiltration, Epithelial Cells, Glucose pharmacology, Fibrosis, Peritoneal Fibrosis etiology, Peritoneal Fibrosis prevention & control, Peritoneal Fibrosis pathology, Melatonin pharmacology, Melatonin therapeutic use
Abstract

Peritoneal fibrosis together with increased capillaries is the primary cause of peritoneal dialysis failure. Mesothelial cell loss is an initiating event for peritoneal fibrosis. We find that the elevated glucose concentrations in peritoneal dialysate drive mesothelial cell pyroptosis in a manner dependent on caspase-3 and Gasdermin E, driving downstream inflammatory responses, including the activation of macrophages. Moreover, pyroptosis is associated with elevated vascular endothelial growth factor A and C, two key factors in vascular angiogenesis and lymphatic vessel formation. GSDME deficiency mice are protected from high glucose induced peritoneal fibrosis and ultrafiltration failure. Application of melatonin abrogates mesothelial cell pyroptosis through a MT1R-mediated action, and successfully reduces peritoneal fibrosis and angiogenesis in an animal model while preserving dialysis efficacy. Mechanistically, melatonin treatment maintains mitochondrial integrity in mesothelial cells, meanwhile activating mTOR signaling through an increase in the glycolysis product dihydroxyacetone phosphate. These effects together with quenching free radicals by melatonin help mesothelial cells maintain a relatively stable internal environment in the face of high-glucose stress. Thus, Melatonin treatment holds some promise in preserving mesothelium integrity and in decreasing angiogenesis to protect peritoneum function in patients undergoing peritoneal dialysis., (© 2023. Science China Press.)

Published
2024
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43. Aluminum phytotoxicity in acidic environments: A comprehensive review of plant tolerance and adaptation strategies.

Author

Ur Rahman S, Han JC, Ahmad M, Ashraf MN, Khaliq MA, Yousaf M, Wang Y, Yasin G, Nawaz MF, Khan KA, and Du Z

Subjects
Malates metabolism, Plant Breeding, Plants metabolism, Organic Chemicals metabolism, Soil chemistry, Plant Roots metabolism, Gene Expression Regulation, Plant, Aluminum toxicity, Aluminum metabolism, Alkaloids pharmacology
Abstract

Aluminum (Al), a non-essential metal for plant growth, exerts significant phytotoxic effects, particularly on root growth. Anthropogenic activities would intensify Al's toxic effects by releasing Al 3+ into the soil solution, especially in acidic soils with a pH lower than 5.5 and rich mineral content. The severity of Al-induced phytotoxicity varies based on factors such as Al concentration, ionic form, plant species, and growth stages. Al toxicity leads to inhibited root and shoot growth, reduced plant biomass, disrupted water uptake causing nutritional imbalance, and adverse alterations in physiological, biochemical, and molecular processes. These effects collectively lead to diminished plant yield and quality, along with reduced soil fertility. Plants employ various mechanisms to counter Al toxicity under stress conditions, including sequestering Al in vacuoles, exuding organic acids (OAs) like citrate, oxalate, and malate from root tip cells to form Al-complexes, activating antioxidative enzymes, and overexpressing Al-stress regulatory genes. Recent advancements focus on enhancing the exudation of OAs to prevent Al from entering the plant, and developing Al-tolerant varieties. Gene transporter families, such as ATP-Binding Cassette (ABC), Aluminum-activated Malate Transporter (ALMT), Natural resistance-associated macrophage protein (Nramp), Multidrug and Toxic compounds Extrusion (MATE), and aquaporin, play a crucial role in regulating Al toxicity. This comprehensive review examined recent progress in understanding the cytotoxic impact of Al on plants at the cellular and molecular levels. Diverse strategies developed by both plants and scientists to mitigate Al-induced phytotoxicity were discussed. Furthermore, the review explored recent genomic developments, identifying candidate genes responsible for OAs exudation, and delved into genome-mediated breeding initiatives, isolating transgenic and advanced breeding lines to cultivate Al-tolerant plants., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

Published
2024
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44. Nanotechnology in precision agriculture: Advancing towards sustainable crop production.

Author

Zain M, Ma H, Ur Rahman S, Nuruzzaman M, Chaudhary S, Azeem I, Mehmood F, Duan A, and Sun C

Subjects
Nanotechnology methods, Crop Production methods, Fertilizers analysis, Plants, Soil, Agriculture methods, Pesticides
Abstract

Nanotechnology offers many potential solutions for sustainable agroecosystem, including improvement in nutrient use efficiency, efficacy of pest management, and minimizing the adverse environmental effects of agricultural production. Herein, we first highlighted the integrated application of nanotechnology and precision agriculture for sustainable productivity. Application of nanoparticle mediated material and advanced biosensors in precision agriculture is only possible by nanochips or nanosensors. Nanosensors offers the measurement of various stresses, soil quality parameters and detection of heavy metals along with the enhanced data collection, enabling precise decision-making and resource management in agricultural systems. Nanoencapsulation of conventional chemical fertilizers (known as nanofertilizers), and pesticides (known as nanopesticides) helps in sustained and slow release of chemicals to soils and results in precise dosage to plants. Further, nano-based disease detection kits are popular tools for early and speedy detection of viral diseases. Many other innovative approaches including biosynthesized nanoparticles have been evaluated and proposed at various scales, but in fact there are some barriers for practical application of nanotechnology in soil-plant system, including safety and regulatory concerns, efficient delivery at field levels, and consumer acceptance. Finally, we outlined the policy options and actions required for sustainable agricultural productivity, and proposed various research pathways that may help to overcome the upcoming challenges regarding practical implications of nanotechnology., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Masson SAS. All rights reserved.)

Published
2024
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45. Responses of microbial communities in rhizocompartments of king grass to phytoremediation of cadmium-contaminated soil.

Author

Khalid M, Liu X, Ur Rahman S, Rehman A, Zhao C, Li X, Yucheng B, and Hui N

Subjects
Cadmium toxicity, Poaceae, Biodegradation, Environmental, RNA, Ribosomal, 16S, Soil, Rhizosphere, Bacteria, Soil Microbiology, Soil Pollutants, Metals, Heavy toxicity, Microbiota
Abstract

King grass has been recognized as a potential phytoremediation plant species due to its high biomass and resistance to heavy metals (HMs). However, the possible impacts of cadmium (Cd) contamination on rhizocompartments' microbial activities in association with king grass have not been extensively explored. The utilization of 16S rRNA gene and ITS sequencing was carried out to examine alterations in the bacterial and fungal communities in the rhizosphere and rhizoplane of king grass in response to low and high Cd stress. Results demonstrated that both bacterial and fungal communities' diversity and richness were negatively impacted by Cd stress, regardless of its concentration. However, evenness did not exhibit any significant response to either of the concentrations. Additionally, nonmetric multidimensional scaling (NMDS) ordination demonstrated a significant difference (p < 0.001) in microbial communities under different treatments. The abundance of bacterial taxa such as Steroibacter, Nitrospira, Pseudoxanthomonas, Cellvirio, Phenylobacterium, Mycobacterium, Pirellula and Aquicella was adversely affected under Cd stress while Flavobacterium, Gemmata, Thiobacillus and Gemmatimonas showed no prominent response, indicating their resistance to Cd stress. Like that, certain fungal taxa for instance, Cladosporium, Cercophora, Acremonium, Mortierella, Aspergillus, Penicillium, Glomus and Sebacina were also highly reduced by low and high Cd stress. In contrast, Fusarium, Thanatephorus, Botrytis and Curvularia did not show any response to Cd stress. The identified taxa may have a crucial role in the growth of king grass under heavy metal contamination, making them promising candidates for developing bioinoculants to encourage plant performance and phytoremediation capability in HM-contaminated soils., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Published
2023
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46. Discovery of (S)-flurbiprofen-based novel azine derivatives as prostaglandin endoperoxide synthase-II inhibitors: Synthesis, in-vivo analgesic, anti-inflammatory activities, and their molecular docking.

Author

Alam A, Ali M, Zainab, Latif A, Ur Rehman N, Jabbar Shah A, Amir Khan I, Ayaz M, Ur Rahman S, Al-Harrasi A, and Ahmad M

Subjects
Humans, Cyclooxygenase Inhibitors pharmacology, Molecular Docking Simulation, Cyclooxygenase 2, Analgesics pharmacology, Analgesics therapeutic use, Analgesics chemistry, Anti-Inflammatory Agents chemistry, Edema chemically induced, Edema drug therapy, Anti-Inflammatory Agents, Non-Steroidal chemistry, Carrageenan, Flurbiprofen pharmacology, Flurbiprofen chemistry
Abstract

The anti-inflammatory and analgesic drugs currently used are associated with several adverse effects and found to be highly unsafe for long-term use. Currently, nineteen novel bis-Schiff base derivatives (1-19) of flurbiprofen have been designed, prepared and assessed for in-vivo analgesic, anti-inflammatory and in vivo acute toxicity evaluation. The structures of the acquired compounds were deduced through modern spectroscopic techniques including HR-ESI-MS, 13 C-, and 1 H NMR. Amongst the series, compounds 7, 9, and 10 attributed potent activities with 93.89, 92.50, and 90.47% decreased edema, respectively compared to flurbiprofen (90.01%), however, compounds 11 and 15 exhibited significant activity of 90.00% decrease. Out of them, fourteen compounds (1-6, 8, 12-14, and 16-19) displayed good activity in the range of 68.96-86.95%. In case of an analgesic study, all the derivatives significantly (p 0.001) increased the pain threshold time particularly compound 7 had the best analgesic effect (24 ± 2.08 s) in comparison with flurbiprofen (21.66 ± 2.02 s) using hot plate test. Similarly, in the acetic acid-induced writhing test, compound 7 determined a potent inhibitory effect (60.47 %) close to flurbiprofen (59.28%). All the synthesized derivatives were found safe up to the dose of 30 mg/kg, in acute toxicity study. On a molecular scale, the synthesized compounds were modeled through a ligand-based pharmacophore study and molecular docking to have insight into the different possible interactions leading to high inhibition levels against the COX-2 enzyme., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Published
2023
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47. Scrutinizing the therapeutic response of Phyllanthus exmblica's different doses to restore the immunomodulation potential in immunosuppressed female albino rats.

Author

Riasat A, Jahangeer M, Sarwar A, Saleem Y, Shahzad K, Ur Rahman S, Aziz R, Aziz T, Alharbi M, Albakeiri TH, and Alasmari AF

Subjects
Rats, Animals, Antioxidants chemistry, Plant Extracts pharmacology, Plant Extracts chemistry, Phytochemicals, Immunomodulation, Phyllanthus, Plants, Medicinal
Abstract

Objective: Immunosuppression and microbial resistance are the major drawbacks in conventional pharmaceutics. The present research work was planned to screen and characterize phytochemical constituents present in Phyllanthus emblica and to explore the immunomodulation potential of P. emblica by evaluating stress markers and different biochemical parameters in animals., Materials and Methods: The phytochemical analysis explored the presence of antioxidant profiles and revealed the radical scavenging activities. In the second phase, an animal trial was performed using female albino rats. Female rats (n=18) were administered three different doses of P. emblica (low dose 100 mg/kg, intermediate 200 mg/kg, and high dose 300 mg/kg) for three weeks. After a significant change (p<0.05) in antioxidant status i.e., TOS and TAS, hematological, biochemical parameters, and immunoregulation i.e., IgM and IgG were elevated. Statistical analysis (ANOVA) illustrates that these selected plants have a great impact on microbial resistance and immunosuppression and have shown highly significant results., Results: The results of all in vitro and in vivo assays conducted as part of the recent research work offer considerable evidence that the chosen medicinal plant has the ability to induce specific hormone release and boost the immune system., Conclusions: Based on our findings, it is proposed that medicinal herbs may be isolated using cutting-edge approaches to tackle the issues of immunosuppression and microbial resistance.

Published
2023
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49. Identification of salt stress-tolerant candidate genes in the BC 2 F 2 population at the seedling stages of G. hirsutum and G. darwinii using NGS-based bulked segregant analysis.

Author

Shehzad M, Ditta A, Cai X, Ur Rahman S, Xu Y, Wang K, Zhou Z, and Fang L

Abstract

Salinity is a major threat to the yield and productivity of cotton seedlings. In the present study, we developed a BC 2 F 2 population of cotton plants from Gossypium darwinii (5-7) and Gossypium hirsutum (CCRI 12-4) salt-susceptible parents to identify salt-resistant candidate genes. The Illumina HiSeq™ strategy was used with bulked segregant analysis. Salt-resistant and salt-susceptible DNA bulks were pooled by using 30 plants from a BC 2 F 2 population. Next-generation sequencing (NGS) technology was used for the sequencing of parents and both bulks. Four significant genomic regions were identified: the first genomic region was located on chromosome 18 (1.86 Mb), the second and third genomic regions were on chromosome 25 (1.06 Mb and 1.94 Mb, respectively), and the fourth was on chromosome 8 (1.41 Mb). The reads of bulk1 and bulk2 were aligned to the G. darwinii and G. hirsutum genomes, respectively, leading to the identification of 20,664,007 single-nucleotide polymorphisms (SNPs) and insertions/deletions (indels). After the screening, 6,573 polymorphic markers were obtained after filtration of the candidate regions. The SNP indices in resistant and susceptible bulks and Δ(SNP-index) values of resistant and susceptible bulks were measured. Based on the higher Δ(SNP-index) value, six effective polymorphic SNPs were selected in a different chromosome. Six effective SNPs were linked to five candidate genes in four genomic regions. Further validation of these five candidate genes was carried out using reverse transcription-quantitative polymerase chain reaction (RT-qPCR), resulting in an expression profile that showed two highly upregulated genes in the salt-tolerant species G. darwinii , i.e., Gohir.D05G367800 and Gohir.D12G239100 ; however, the opposite was shown in G. hirsutum , for which all genes, except one, showed partial expression. The results indicated that Gohir.D05G367800 and Gohir.D12G239100 may be salt-tolerant genes. We are confident that this study could be helpful for the cloning, transformation, and development of salt-resistant cotton varieties., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Shehzad, Ditta, Cai, Ur Rahman, Xu, Wang, Zhou and Fang.)

Published
2023
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50. Evaluating the in-vivo effects of olive oil, soya bean oil, and vitamins against oxidized ghee toxicity.

Author

Saleem K, Aziz T, Ali Khan A, Muhammad A, Ur Rahman S, Alharbi M, Alshammari A, and F Alasmari A

Subjects
Animals, Male, Rabbits, Antioxidants pharmacology, Vitamins pharmacology, Olive Oil, Vitamin E pharmacology, Cholesterol, Vitamin A pharmacology, Ascorbic Acid pharmacology, Liver, Vitamin K pharmacology, Inflammation, Plant Oils pharmacology, Soybean Oil pharmacology, Ghee
Abstract

The aim of this study was to examine the protective role of various lipids (olive and soya oil) and vitamin (E and C) against the toxicity of thermally oxidized ghee in rabbits. Vanaspati ghee was thermally oxidized on a hot plate at 100°C for ten consecutive hours, and the oxidized ghee was stored in a refrigerator at -20°C until administration. Thirty male rabbits were purchased as experimental animals at a local market and were divided into ten corresponding groups of three based on their body weight. The blood samples of 5 ml were collected on day 0, 7, and 14 of the experiment for the analysis of hematological and biochemical serum parameters. We observed that oxidized ghee significantly elevated ALT level by affecting liver hepatocytes. Furthermore, vitamin E rapidly decreased the ALT levels compared to vitamin C and other oils. The oxidized ghee caused a significant increase in cholesterol compared to the other groups. Vitamin E and C showed the best antioxidant activity and decreased cholesterol levels to normal. Histopathological examinations of the normal rabbits' liver sections revealed no significant histological abnormality. The liver of the rabbits fed with oxidized ghee had an intact lobular architecture but the portal tracts showed inflammation and mild fibrosis, the bile ducts showed proliferation, and the hepatocytes showed feathery degeneration. In the liver sections from the groups fed with oxidized ghee and different doses of olive oil inflammation in portal tracts and large vacuoles in the hepatocytes were observed. The group fed with oxidized ghee and vitamin E had intact lobular architecture with no significant histological abnormality in portal tracts but fatty changes were present in the hepatocytes. These findings support the antioxidant activity of vitamins C and E as they reduced liver infection caused by oxidized ghee. It was concluded that oxidized ghee was highly toxic and not safe for consumption. The present study indicated that soya bean oil and vitamin E were more effective in protecting against the toxicity of thermally oxidized ghee than olive oil and vitamin C.

Published
2023
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