77 results on '"Rezaee M"'
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2. Preparation and investigation of catalytic activity of a magnetic cu-complex immobilized on the histidine modified starch biopolymer
- Author
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Rezaee, M., Rafiee, F., and Fardi, E.
- Published
- 2024
- Full Text
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3. Foam drainage modeling of vertical foam column and validation with experimental results
- Author
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Hosseini-Nasab, S.M., Rezaee, M., and Zitha, P.L.J.
- Published
- 2024
- Full Text
- View/download PDF
4. Oncologic outcomes in patients with variant histologies of upper tract urothelial cancer: Results from an international multicenter cohort
- Author
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Pallauf, M., primary, Fletcher, S.A., additional, Rezaee, M., additional, Roupret, M., additional, Boorjian, S.A., additional, Potretzke, A.M., additional, Djaladat, H., additional, Ghoreifi, A., additional, Soria, F., additional, Mari, A., additional, Campi, R., additional, Khene, Z-E., additional, Kikuchi, E., additional, Rink, M., additional, Fujita, K., additional, D’Andrea, D., additional, Boormans, J.L., additional, Ploussard, G., additional, Breda, A., additional, Abdollah, F., additional, Raman, J.D., additional, Shariat, S.F., additional, Pradere, B., additional, and Singla, N., additional
- Published
- 2024
- Full Text
- View/download PDF
5. Metformin - a risk factor for metabolic acidosis after radical cystectomy with ileal conduit or continent diversion? A national claims database analysis
- Author
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Pallauf, M., primary, Rezaee, M., additional, Kohn, T.P., additional, Mcnamara, M., additional, Broenimann, S., additional, Hoffman-Censits, J., additional, Smith, A., additional, and Singla, N., additional
- Published
- 2024
- Full Text
- View/download PDF
6. Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic : a comprehensive demographic analysis for the Global Burden of Disease Study 2021
- Author
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Schumacher, A. E., Kyu, H. H., Antony, C. M., Aravkin, A. Y., Azhar, G. S., Bisignano, C., Burkart, K., Cercy, K. M., Chung, E., Coberly, K., Comfort, H., Cousin, E., Culbreth, G. T., Cunningham, M., Weaver, N. D., Degenhardt, L., Deitesfeld, L., Dirac, M. A., Estep, K., Feigin, V. L., Flaxman, A. D., Flor, L. S., Force, L. M., Fuller, J. E., Gakidou, E., Hay, S. I., Ikuta, K. S., Jones, D. P., Kassebaum, N. J., Kassel, M. B., Keller, C., Kinzel, K. E., Krohn, K. J., Lozano, R., May, E. A., McKowen, A. W., McLaughlin, S. A., Mehlman, M. L., Mestrovic, T., Mokdad, A. H., Mosser, J. F., Mougin, V., Naghavi, M., Nesbit, O. D., Novotney, A., Ozten, Y., Pease, S. A., Pigott, D. M., Reiner, R. C., Robinson-Oden, H. E., Shaw, D. H., Slepak, E. L. N., Sorensen, R. J. D., Verghese, N. A., Vollset, S., Vongpradith, A., Vos, T., Wang, D., Watson, S., Weaver, M. R., Wells, K. M., Wilson, S., Wool, E. E., Zheng, P., Lim, S. S., Murray, C. J. L., Boyko, E. J., Chahine, Y., Kalani, R., Krishnamoorthy, V., Khalil, I. A., Minja, N. W., Morrison, S. D., Nafukho, F. M., Olivas-Martinez, A., Orellana, E., Tram, K., Aali, A., Rahnavard, N., Ahmadzade, A., Mohammad-Pour, S., Morovatdar, N., Pourali, G., Zafari, N., Abbafati, C., Cattaruzza, M. S., Abbas, J., Phillips, M. R., Abbasgholizadeh, R., Emamverdi, M., Friedman, J., Abbasi, M. A., Daneshvar, S., Dashti, M., Ghasemzadeh, A., Mirza-Aghazadeh-Attari, M., Doshmangir, L., Ghafourifard, M., Lotfi, M., Hosseini, M., Jadidi-Niaragh, F., Kalankesh, L. R., Karimi, S., Mohammad-Alizadeh-Charandabi, S., Khalafi, M., Mirghafourvand, M., Mirinezhad, S., Heris, R. M., Mousavi, S., Kafil, H. S., Abbasian, M., Momenzadeh, K., Santos, F. C. D., Carr, S., Chi, G., Elgendy, I. Y., Feroze, A. H., Kempen, J. H., Kubeisy, C. M., Li, Z., Rohloff, P., Liu, X., Natto, Z. S., Olanipekun, T. O., Pigeolet, M., Pradhan, P. M. S., Zweck, E., Sharfaei, S., Sheikh, A., Abtahi, D., Salimi, S., Shakeri, A., Tajbakhsh, A., Aghamiri, S., Ahmadzade, M., Hashemi, M. B., Ajami, M., Asgary, S., Ghasemi, M., Hassanian-Moghaddam, H., Kolahi, A., Nikoobar, A., Heidari-Foroozan, M., Montazeri, F., Nejadghaderi, S., Rahmani, S., Ziaeefar, P., Hesami, H., Zahir, M., Jahankhani, K., Rasouli-Saravani, A., Jahanmehr, N., Kashani, H. K., Nasiri, M., Raee, P., Rezaee, M., Safi, S., Shool, S., Tabatabai, S., ElHafeez, S. A., Tantawi, M. E., Elmeligy, O. A. A., Ghazy, R. M., Talaat, I. M., Abdelmasseh, M., Sanabria, J., Abd-Elsalam, S., Abdelwahab, A., Abdollahi, M., Abolhassani, H., Rezaei, N., Saghazadeh, A., Ala, M., Noroozi, N., Bahri, R. A., Khatami, F., Ayyoubzadeh, S., Azadnajafabad, S., Keykhaei, M., Momtazmanesh, S., Mousavi, P., Behnoush, A., Farrokhpour, H., Karimi, H., Khalaji, A., Khanmohammadi, S., Mayeli, M., Mohammadi, S., Eskandarieh, S., Sahraian, M., Fahimi, S., Malekzadeh, R., Mansouri, V., Sepanlou, S. G., Ghassemi, F., Haddadi, M., Kazemian, S., Khadembashiri, M., Khamesipour, F., Khavandegar, A., Khormali, M., Salamati, P., Kompani, F., Larijani, B., Mirdamadi, N., Seyedi, S., Malazy, O. T., Mahmoudi, E., Rashedi, S., Rad, E. M., Mansournia, M., Nasab, E. M., Mohammadshahi, M., Mostafavi, H., SeyedAlinaghi, S., Shafie, M., Shahbandi, A., Vahdani, A. M., Sharifan, A., Shirkoohi, R., Sohrabi, H., Tavangar, S., Heidari-Soureshjani, R., Abdoun, M., Abdullahi, A., Awotidebe, A. W., Borodo, S. B., Gadanya, M. A., Ladan, M., Ali, M. U., Tyrovolas, S., Abdurehman, A. M., Debele, A. T., Getachew, T., Gudeta, M. D., Misgana, T., Sertsu, A., Abebe, M., Ayele, G. M., Afework, A., Lerango, T. L., Tebeje, T. M., Sibhat, M. M., Tesfaye, S. H., Abedi, A., Gholamrezanezhad, A., Salehi, S., Athari, S., Hanifi, N., Abegaz, T. M., Kifle, Z. D., Zuñiga, R. A. A., Abhilash, E. S., Abiodun, O. O., Aboagye, R. G., Amu, H., Ayanore, M. A., Dowou, R. K., Immurana, M., Klu, D., Orish, V. N., Carrero, J. J., Cederroth, C. R., Deuba, K., Laflamme, L., Fereshtehnejad, S., Kauppila, J. H., Abouzid, M., Abreu, L. G., Malta, D. C., Prates, E. J. S., Nascimento, B. R., Abrha, W. A., Weldemariam, A. H., Girmay, A., Abrigo, M. R. M., Rumeileh, S. A., Abu-Rmeileh, N. M., Aburuz, S., Ahmed, L. A., Alam, Z., Elbarazi, I., Grivna, M., Nauman, J., Khan, G., Khan, M. A., Zaki, N., Ahmad, M. M., Abu-Zaid, A., Temsah, R. M. H., Zand, R., Acuna, J. M., Gautam, P., Chowdhury, R., Adair, T., Jiang, H., Babu, A. S., Borschmann, R., Meretoja, A., Wijeratne, T., Addo, I. Y., Okeke, S. R., Dai, Z., Xu, X., Huda, M., Mitchell, P. B., Peden, A. E., Resnikoff, S., Sharma, S., Si, Y., Sitas, F., Ye, P., Adebayo, O. M., Aladelusi, T. O., Salami, A. A., Ilesanmi, O. S., Owolabi, M. O., Adegboye, O. A., Adekanmbi, V., AlBataineh, M. T., Almahmeed, W., Aden, B., Adepoju, A. V., Adetunji, C. O., Adeyeoluwa, T. E., Oyeyemi, I. T., Oyeyemi, O. T., Udoakang, A. J., Adeyomoye, O. I., Anuoluwa, I. A., Bello, O. O., Oluwafemi, Y. D., Ekundayo, T. C., Idowu, O. O., Oluwatunase, G. O., Afolabi, A. A., Ekholuenetale, M., Fagbamigbe, A. F., Olufadewa, I. I., Ibitoye, S. E., Okekunle, A. P., Adha, R., Adikusuma, W., Adibi, A., Chen, M., Hossain, M., Rasali, D. P., Pashaei, A., Adnani, Q. E. S., Postma, M. J., Adra, S., Barqawi, H. J., Dash, N. R., Halwani, R., Maghazachi, A. A., Saber-Ayad, M. M., Sharif-Askari, N. S., Ahmad, F., Saddik, B., Saleh, M. A., Alzoubi, K. H., Omar, H. A., Arumugam, A., Bustanji, Y., Elemam, N. M., Faris, M. E. M., Karim, A., Qaisar, R., Semreen, M. H., Soliman, S. S. M., Altirkawi, K. A., Afraz, A., Ilaghi, M., Nematollahi, M., Afyouni, S., Amindarolzarbi, A., Zandieh, G. G. Z., Columbus, A., Kamireddy, A., Shafaat, O., Kazemi, F., Vervoort, D., Zhang, H., Jamshidi, E., Afzal, S., Agasthi, P., Agodi, A., Barchitta, M., D'Amico, E., Maugeri, A., Veroux, M., Biondi, A., Isola, G., Vacante, M., Falzone, L., Libra, M., Agyemang-Duah, W., Nikpoor, A., Ahinkorah, B. O., Demant, D., Ahmad, A., Mustafa, G., Pathan, A. R., Tabish, M., Ahmad, D., Bagheri, N., Burns, R. A., Cherbuin, N., Ahmad, T., Ahmadi, K., Saxena, S., Beaney, T., Palladino, R., Rawaf, S., Mossialos, E., Rawaf, D. L., Ahmed, A., Siddig, E. E., Ahmed, H., Ahmed, M. B., Shiferaw, D., Ashemo, M. Y., Gerema, U., Getachew, M. E., Bayileyegn, N. S., Mohamed, A. I., Eshetie, T. C., Tiruye, T. Y., Ahmed, S., Ali, H., Bodunrin, A. O., Tumurkhuu, M., Tung, K., Ubah, C. S., Aruleba, R. T., Aji, B., Ajumobi, O., Akalu, G. T., Beyene, H. B., Deribe, K., Ijo, D., Kassaw, N. A., Akara, E., Akinosoglou, K., Akkala, S., Asaad, M., Hassan, A. M., Bleyer, A., Akyirem, S., Bell, M. L., Song, Y., Etaee, F., Goldust, M., Li, W., Pawar, S., Hamad, H. A., Sathian, B., Hasan, S. A., Homsi, A. A., Almidani, O., Göbölös, L., Qadire, M. A., AL-Ahdal, T. M. A., Chen, S., Moazen, B., Alalalmeh, S. O., Hegazi, O. E., Shahwan, M. J., Shamsi, M. A., Zyoud, S. H., Al-Aly, Z., Wang, C., Alam, K., Alam, M., Al-Amer, R. M., Naik, G. R., Alanzi, T. M., Bah, S., Menezes, R. G., Alanezi, F. M., Albashtawy, M., Aldridge, R. W., Chung, S., Hossain, S., Kim, J., Kivimäki, M., Sunkersing, D., Umar, T., Zumla, A., Alemi, S., Al-Eyadhy, A., Temsah, M., Alhabib, K. F., ElGohary, G. M. T., Meo, S. A., Al-Gheethi, A. A. S., Kiross, G. T., Alhalaiqa, F. A. N., Al-Maweri, S. A. A., Alomari, M. A., Mohammed, M., Al-Hanawi, M. K., Binmadi, N., Malik, A. A., Samargandy, S., Ali, A., Khan, I., Sawyer, S. M., Ali, B. A., Ali, R., Ali, S. S., Ali, Z., Samakkhah, S. A., Alicandro, G., Alif, S. M., Maharjan, P., Rai, P., Hasan, M., Thapa, R., Thrift, A. G., Aligol, M., Alimi, R., Aliyi, A. A., Jema, A., Al-Jumaily, A., Hankey, G. J., Kujan, O., Mansour, A., Aljunid, S. M., Al-Sabah, S. K., Al-Marwani, S., Almazan, J. U., Poddighe, D., Al-Mekhlafi, H. M., Ariffin, H., Lim, L., Bandyopadhyay, S., Basnyat, B., Maude, R. J., Bennett, D. A., Browne, A. J., Dolecek, C., Dunachie, S. J., Newton, C. R. J., Rodriguez, J. A. B., Kheirallah, K. A., Alonso, N., Bensenor, I. M., Brunoni, A. R., Castaldelli-Maia, J., Peres, M. F. P., Wang, Y., Alqahtani, J. S., Alqutaibi, A., Altaf, A., Alvi, F. J., Nargus, S., Arooj, M., Latif, M., Shahid, S., Shahid, W., Ashraf, M., Riaz, M. A., Al-Tawfiq, J. A., Alwafi, H., Rehman, F., Al-Worafi, Y. M., Aly, H., Ali, A. H., Amare, A., Gill, T. K., Yadav, L., Noubiap, J., Opio, J., Mengesha, E. W., Ameyaw, E. K., Amhare, A., Lin, S., Amin, T. T., Elhabashy, H. R., Hassan, A., Dehkordi, J. A., Kabir, H., Amiri, S., Amugsi, D. A., Wado, Y. D., Amzat, J., Bello, M. B., Shittu, A., Aruleba, I. T., Ancuceanu, R., Andrei, C., Florin, B. T., Negoi, I., Serban, D., Hostiuc, M., Hostiuc, S., Matei, C. N., Negoi, R. I., Anderlini, D., Begum, T., Kanmiki, E., Maravilla, J. C., Khan, A., Moni, M., Lalloo, R., McGrath, J. J., Veerman, L. J., Andrade, P. P., Busse, R., Mohammed, S., Andrei, T., Herteliu, C., Mirica, A., Otoiu, A., Petcu, I., Dima, A., Stefan, S., Angappan, D., Anil, A., Charan, J., Shamim, M., Singh, S., Varthya, S. B., Baskaran, P., Bhardwaj, P., Bhardwaj, N., Dixit, S. G., Krishna, H., Nayyar, A. K., Choudhary, R., Dixit, A., Misra, S., Mittal, M., Saravanan, A., Singh, M., Ram, P., Anjum, A., Antriyandarti, E., Anwar, S., Anyasodor, A. E., Appiah, S., Boampong, M. S., Aqeel, M., Arabloo, J., Eghdami, S., Panahi, P., Kabir, A., Salahi, S., Behnagh, A. K., Kasraei, H., Khodadoust, E., Latifinaibin, K., Moradi-Lakeh, M., Toroudi, H. P., Sarveazad, A., Zahedi, M., Moradi, M., Arab-Zozani, M., Ghalibaf, A. M., Rajabpour-Sanati, A., Arafat, M., Araújo, A. M., Belo, L., Carvalho, F., Costa, V. M., da Silva, D. D., Silva, J. P., Carvalho, M., Cruz-Martins, N., Freitas, A., Vieira, R. J., Pinheiro, M., Ribeiro, A., Aremu, A., Odetokun, I. A., Aripov, T., Armocida, B., Unim, B., Sabbatucci, M., Artamonov, A. A., Artanti, K. D., Efendi, F., Purnobasuki, H., Wulandari, R. D., Arulappan, J., Chavula, M. P., Edvardsson, D., Orru, H., Fattahi, H., Asika, M. O., Onwujekwe, O. E., Atout, M. M. W., Atreya, A., Attia, S., Aujayeb, A., Avan, A., Hachinski, V., Stranges, S., Bolarinwa, O. A., Ginindza, T. G., Ogunsakin, R. E., Quintanilla, B. A., Rahman, M., Ayuso-Mateos, J. L., Ortiz, A., Soriano, J. B., Catalá-López, F., Aziz, S., Azzam, A. Y., Babashahi, M., Bayati, M., Kouhanjani, M. F., Fazeli, P., Karajizadeh, M., Ghahramani, S., Sarikhani, Y., Shahabi, S., Iravanpour, F., Jafarinia, M., Oliaee, R. T., Ravangard, R., Razeghian-Jahromi, I., Roshanzamir, S., Mansoori, Y., Bakkannavar, S. M., Nayak, V. C., Holla, R., Kamath, A., Rao, M., Ligade, V. S., Rao, C. R., Shetty, R. S., Rao, I., Reshmi, B., Badar, M., Badawi, A., Bhutta, Z. A., Chattu, V., Malhotra, A. K., Mostofinejad, A., Shakil, H., Badiye, A. D., Bansal, H., Kapoor, N., Baghdadi, S., Bagherieh, S., Fatehizadeh, A., Mehrabani-Zeinabad, K., Sadeghi, M., Mirmosayyeb, O., Saber, K., Shafaat, A., Bahadorikhalili, S., Bai, J., Yu, C., Bai, R., Baker, J. L., Bako, A. T., Makram, O. M., Balakrishnan, S., Balogun, S. A., Singh, A., Tian, J., Jatau, A., Baltatu, O. C., Baltatu, O., Campos, L. A., Bam, K., Olaiya, M. T., Bhandari, D., Dalli, L. L., Banach, M., Banik, B., Banik, P. C., Barati, S., Saeedi, M., Bardhan, M., Barker-Collo, S. L., Beyene, K. A., Barone-Adesi, F., Barr, R. D., Kurmi, O. P., Mannan, F., Olagunju, A. T., Barrero, L. H., Basharat, Z., Bashir, A. I. J., Bashiru, H. A., Folayan, M. O., Bassat, Q., Basso, J. D., Silva, S., Rodrigues, M., Basu, S., Batra, K., Batra, R., Sharma, M., Baune, B. T., Bedi, N., Ghailan, K. Y., Khan, M., Halboub, E. S., Shanawaz, M., Sayeed, A., Siraj, M., Behboudi, E., Soleimani, H., Beiranvand, M., Ramirez, D. F. B., Malagón-Rojas, J. N., Belgaumi, U. I., Bello, A. K., Ebenezer, O., Eboreime, E., Umair, M., Beloukas, A., Lunevicius, R., Bendak, S., Benzian, H., Friedman, S. D., Peprah, E. K., Berezvai, Z., Berman, A. E., Bermudez, A. C., Loreche, A., Liu, S., Mohamed, M. F. H., Bettencourt, P. J. G., Bhagat, D. S., Bhagavathula, A. S., Bhala, N., Dehbandi, R., Glasbey, J. C., Bhalla, A., Marasini, B. P., Paudel, U., Poudel, L., Bhardwaj, P. V., Bhargava, A., Kahe, F., Bhaskar, S., Bhat, V., Bhatti, G. K., Kalra, S., Bhatti, J. S., Senapati, S., Bhatti, M. S., Bhatti, R., Das, J. K., Bikbov, B., Bintoro, B., Bisulli, F., Golinelli, D., Guicciardi, S., Lenzi, J., Mazzotti, A., Muccioli, L., Sanmarchi, F., Violante, F. S., Biswas, A., Dhali, A., Biswas, R., Chen, L., Driscoll, T. R., Tang, H. K., Islam, S., Kandel, H., You, Y., Leigh, J., Singh, B. B., Visontay, R., Bitaraf, S., Kaydi, N., Eini, E., Khafaie, M. A., Sadeghian, S., Bjørge, T., Dadras, O., Wojewodzic, M. W., Bodolica, V., Bonny, A., Bora, K., Basara, B. B., Francis, K. L., Kerr, J. A., Carvajal, A. B., Bouaoud, S., Ouyahia, A., Boudalia, S., Lanfranchi, F., Bragazzi, N. L., Braithwaite, D., Ding, D. D., Karanth, S. D., Naghavi, P., Brenner, H., Britton, G., Bulamu, N. B., Bulto, L. N., Foley, K. M., Jemere, D., Kaambwa, B., Mpundu-Kaambwa, C., Buonsenso, D., Villani, L., Nagaraja, S. B., Butt, Z. A., Cai, T., Calina, D., Cámera, L. A., Campos-Nonato, I. R., Denova-Gutiérrez, E., Ortega-Altamirano, D. V., Rios-Blancas, M., Pando-Robles, V., Cao, C., Cardenas, C. A., Cárdenas, R., Carreras, G., Carugno, A., Castañeda-Orjuela, C. A., Castelpietra, G., Catapano, A. L., Damiani, G., Vecchia, C. L., Caye, A., Duncan, B. B., Schmidt, M. I., Hugo, F. N., Cembranel, F., Cenderadewi, M., Emeto, T. I., Obamiro, K. O., Cerin, E., Poudel, G. R., Guo, C., Sarkar, C., Yip, P., Cevik, M., Chacón-Uscamaita, P. R., Chirinos-Caceres, J. L., Chakraborty, C., Chan, J., Chang, C., Douiri, A., Wafa, H. A., Hbid, Y., Mazidi, M., Urso, D., Charalampous, P., Volovici, V., Chatzimavridou-Grigoriadou, V., Johnson, O., Mathioudakis, A. G., Mughal, F., Cheema, H. A., Chen, A., Chen, H., Zhu, Z., Chew, D. S., Tonelli, M., Yang, L., Chitheer, A., Cho, S. J., Ebrahimi, A., Nguyen, D. H., Cho, W. C. S., Chong, B., Ma, S., Ramazanu, S., Tan, K., Venketasubramanian, N., Chopra, H., Mini, G., Tovani-Palone, M. R., Pantazopoulos, I., Pilgrim, T., Stortecky, S., Chu, D., Chukwu, I. S., Cini, K. I., Clark, C. C. T., Conde, J., Conti, S., Cortesi, P. A., Fornari, C., Mantovani, L. G., Ferrara, P., Cowden, R. G., Criqui, M. H., Cullen, P., Jarlais, D. C. D., Gunturu, S., Dadana, S., Dalal, Koustuv, Kurmanova, A., Guha, A., Qattea, I., Darwesh, A. M., Hosseinzadeh, M., Das, S., Dávila-Cervantes, C. A., Davletov, K., Leo, D. D., Delgado-Enciso, I., Delgado-Ortiz, L., Morawska, L., Demessa, B. H., Demetriades, A. K., Eze, U. A., Simpson, C. R., Verras, G., Deng, X., Dervenis, N., Patoulias, D., Desai, H. D., Desai, R., Devanbu, V. G. C., Dey, S., Perianayagam, A., Dhama, K., Ranabhat, C. L., Dhimal, M. L., Dhimal, M., Ghimire, S., Pandey, A., Dhingra, S., Diaz, D., Do, T. C., Pham, H., Do, T. H., Prado, C. B. D., Dodangeh, M., Dokova, K. G., Dorsey, E., Santos, W. M. D., Doshi, R., Dsouza, H. L., Rastogi, P., Shetty, B. K., Jeganathan, J., Joseph, N., Kumar, N., Mithra, P., Thapar, R., Reddy, M. M. R., Unnikrishnan, B., Dube, J., Dumith, S. C., Duraes, A. R., Pereira, M., Rasella, D., Duraisamy, S., Durojaiye, O. C., Oguta, J. O., Dutta, S., Dzianach, P. A., Gething, P. W., Sanna, F., Weiss, D. J., Kiss, J., McPhail, M. A., Rumisha, S. F., Lubinda, J., Saddler, A., Dziedzic, A. M., Tsermpini, E., Echieh, C. P., Ed-Dra, A., Edinur, H. A., Edvardsson, K., Efendi, D., Kusuma, D., Trihandini, I., Latief, K., Eikemo, T., Ekpor, E., Arab, R. A. E., Morsi, D. A. E., Zaki, M. E. S., Elshaer, M., Ramadan, H., Elgar, F. J., Mate, K. K. V., Ortiz-Brizuela, E., Rana, J., Nabhan, A. F., Samy, A. 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A., Daneshvar, S., Dashti, M., Ghasemzadeh, A., Mirza-Aghazadeh-Attari, M., Doshmangir, L., Ghafourifard, M., Lotfi, M., Hosseini, M., Jadidi-Niaragh, F., Kalankesh, L. R., Karimi, S., Mohammad-Alizadeh-Charandabi, S., Khalafi, M., Mirghafourvand, M., Mirinezhad, S., Heris, R. M., Mousavi, S., Kafil, H. S., Abbasian, M., Momenzadeh, K., Santos, F. C. D., Carr, S., Chi, G., Elgendy, I. Y., Feroze, A. H., Kempen, J. H., Kubeisy, C. M., Li, Z., Rohloff, P., Liu, X., Natto, Z. S., Olanipekun, T. O., Pigeolet, M., Pradhan, P. M. S., Zweck, E., Sharfaei, S., Sheikh, A., Abtahi, D., Salimi, S., Shakeri, A., Tajbakhsh, A., Aghamiri, S., Ahmadzade, M., Hashemi, M. B., Ajami, M., Asgary, S., Ghasemi, M., Hassanian-Moghaddam, H., Kolahi, A., Nikoobar, A., Heidari-Foroozan, M., Montazeri, F., Nejadghaderi, S., Rahmani, S., Ziaeefar, P., Hesami, H., Zahir, M., Jahankhani, K., Rasouli-Saravani, A., Jahanmehr, N., Kashani, H. 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- Abstract
Background: Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020–21 COVID-19 pandemic period. Methods: 22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, ant
- Published
- 2024
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7. Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021
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S, Jiang, Heng, Jin, Yingzhao, Jin, Yinzi, Johnson, Olatunji, Jomehzadeh, Nabi, Jones, Darwin Phan, Joo, Tamas, Joseph, Abel, Joseph, Nitin, Joshua, Charity Ehimwenma, Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kaambwa, Billingsley, Kabir, Ali, Kabir, Hannaneh, Kabir, Zubair, Kadashetti, Vidya, Kahe, Farima, Kakodkar, Pradnya Vishal, Kalani, Rizwan, Kalankesh, Leila R, Kaliyadan, Feroze, Kalra, Sanjay, Kamath, Ashwin, Kamireddy, Arun, Kanagasabai, Thanigaivelan, Kandel, Himal, Kanmiki, Edmund Wedam, Kanmodi, Kehinde Kazeem, Kantar, Rami S, Kapoor, Neeti, Karajizadeh, Mehrdad, Karami Matin, Behzad, Karanth, Shama D, Karaye, Ibraheem M, Karim, Asima, Karimi, Hanie, Karimi, Salah Eddin, Karimi Behnagh, Arman, Karkhah, Samad, Karna, Ajit K, Kashoo, Faizan Zaffar, Kasraei, Hengameh, Kassaw, Nigussie Assefa, Kassebaum, Nicholas J, Kassel, Molly B, Katamreddy, Adarsh, Katikireddi, Srinivasa Vittal, Katoto, Patrick DMC, Kauppila, Joonas H, Kaur, Navjot, Kaydi, Neda, Kayibanda, Jeanne Françoise, 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Skrindo, Kolahi, Ali-Asghar, Kompani, Farzad, Koren, Gerbrand, Kosen, Soewarta, Kostev, Karel, Kotnis, Ashwin Laxmikant, Koul, Parvaiz A, Koulmane Laxminarayana, Sindhura Lakshmi, Koyanagi, Ai, Kravchenko, Michael A, Krishan, Kewal, Krishna, Hare, Krishnamoorthy, Vijay, Krishnamoorthy, Yuvaraj, Krohn, Kris J, Kuate Defo, Barthelemy, Kubeisy, Connor M, Kucuk Bicer, Burcu, Kuddus, Md Abdul, Kuddus, Mohammed, Kuitunen, Ilari, Kujan, Omar, Kulimbet, Mukhtar, Kulkarni, Vishnutheertha, Kumar, Ashish, Kumar, Harish, Kumar, Nithin, Kumar, Rahul, Kumar, Shiv, Kumari, Madhulata, Kurmanova, Almagul, Kurmi, Om P, Kusnali, Asep, Kusuma, Dian, Kutluk, Tezer, Kuttikkattu, Ambily, Kyei, Evans F, Kyriopoulos, Ilias, La Vecchia, Carlo, Ladan, Muhammad Awwal, Laflamme, Lucie, Lahariya, Chandrakant, Lahmar, Abdelilah, Lai, Daphne Teck Ching, Laksono, Tri, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lallukka, Tea, Lám, Judit, Lamnisos, Demetris, Lan, Tuo, Lanfranchi, Francesco, Langguth, Berthold, Lansingh, Van 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Parsa, Mousavi, Seyed Ehsan, Mousavi Khaneghah, Amin, Mpundu-Kaambwa, Christine, Mrejen, Matías, Mubarik, Sumaira, Muccioli, Lorenzo, Mueller, Ulrich Otto, Mughal, Faraz, Mukherjee, Sumoni, Mukoro, George Duke, Mulita, Admir, Mulita, Francesk, Muniyandi, Malaisamy, Munjal, Kavita, Musaigwa, Fungai, Musallam, Khaled M, Mustafa, Ghulam, Muthu, Sathish, Muthupandian, Saravanan, Myung, Woojae, Nabhan, Ashraf F, Nafukho, Fredrick Muyia, Nagarajan, Ahamarshan Jayaraman, Naghavi, Mohsen, Naghavi, Pirouz, Naik, Ganesh R, Naik, Gurudatta, Naimzada, Mukhammad David, Nair, Sanjeev, Nair, Tapas Sadasivan, Najmuldeen, Hastyar Hama Rashid, Naldi, Luigi, Nangia, Vinay, Nargus, Shumaila, Nascimento, Bruno Ramos, Nascimento, Gustavo G, Naser, Abdallah Y, Nasiri, Mohammad Javad, Natto, Zuhair S, Nauman, Javaid, Naveed, Muhammad, Nayak, Biswa Prakash, Nayak, Vinod C, Nayyar, Ashish Kumar, Nazri-Panjaki, Athare, Negash, Hadush, Negero, Amayu Kumesa, Negoi, Ionut, Negoi, Ruxandra Irina, Negru, Serban Mircea, Nejadghaderi, Seyed Aria, Nejjari, Chakib, Nematollahi, Mohammad Hadi, Nena, Evangelia, Nepal, Samata, Nesbit, Olivia D, Newton, Charles Richard James, Ngunjiri, Josephine W, Nguyen, Dang H, Nguyen, Phat Tuan, Nguyen, Phuong The, Nguyen, Tuan Thanh, Nguyen, Van Thanh, Nigatu, Yeshambel T, Nikolouzakis, Taxiarchis Konstantinos, Nikoobar, Ali, Nikpoor, Amin Reza, Nizam, Muhammad A, Nomura, Shuhei, Noreen, Mamoona, Noroozi, Nafise, Norouzian Baghani, Abbas, Norrving, Bo, Noubiap, Jean Jacques, Novotney, Amanda, Nri-Ezedi, Chisom Adaobi, Ntaios, George, Ntsekhe, Mpiko, Nuñez-Samudio, Virginia, Nurrika, Dieta, Oancea, Bogdan, Obamiro, Kehinde O, Odetokun, Ismail A, Ofakunrin, Akinyemi O D, Ogunsakin, Ropo Ebenezer, Oguta, James Odhiambo, Oh, In-Hwan, Okati-Aliabad, Hassan, Okeke, Sylvester Reuben, Okekunle, Akinkunmi Paul, Okidi, Lawrence, Okonji, Osaretin Christabel, Okwute, Patrick Godwin, Olagunju, Andrew T, Olaiya, Muideen Tunbosun, Olanipekun, Titilope O, Olatubi, Matthew Idowu, Olivas-Martinez, Antonio, Oliveira, Gláucia Maria Moraes, Oliver, Susan, Olorukooba, Abdulhakeem Abayomi, Olufadewa, Isaac Iyinoluwa, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Oluwafemi, Yinka Doris, Oluwatunase, Gideon Olamilekan, Omar, Hany A, Omer, Goran Latif, Ong, Sokking, Onwujekwe, Obinna E, Onyedibe, Kenneth Ikenna, Opio, John Nelson, Ordak, Michal, Orellana, E Roberto, Orisakwe, Orish Ebere, Orish, Verner N, Orru, Hans, Ortega-Altamirano, Doris V, Ortiz, Alberto, Ortiz-Brizuela, Edgar, Ortiz-Prado, Esteban, Osuagwu, Uchechukwu Levi, Otoiu, Adrian, Otstavnov, Nikita, Ouyahia, Amel, Ouyang, Guoqing, Owolabi, Mayowa O, Oyeyemi, Ifeoluwa Temitayo, Oyeyemi, Oyetunde T, Ozten, Yaz, P A, Mahesh Padukudru, Padubidri, Jagadish Rao, Pahlavikhah Varnosfaderani, Mahsa, Pal, Pramod Kumar, Palicz, Tamás, Palladino, Claudia, Palladino, Raffaele, Palma-Alvarez, Raul Felipe, Pana, Adrian, Panahi, Parsa, Pandey, Ashok, Pandi-Perumal, Seithikurippu R, Pando-Robles, Victoria, Pangaribuan, Helena Ullyartha, Panos, Georgios D, Pantazopoulos, Ioannis, Papadopoulou, Paraskevi, Pardhan, Shahina, Parikh, Romil R, Park, Seoyeon, Parthasarathi, Ashwaghosha, Pashaei, Ava, Pasupula, Deepak Kumar, Patel, Jenil R, Patel, Sangram Kishor, Pathan, Aslam Ramjan, Patil, Ashlesh, Patil, Shankargouda, Patoulias, Dimitrios, Patthipati, Venkata Suresh, Paudel, Uttam, Pawar, Shrikant, Pazoki Toroudi, Hamidreza, Pease, Spencer A, Peden, Amy E, Pedersini, Paolo, Peng, Minjin, Pensato, Umberto, Pepito, Veincent Christian Filipino, Peprah, Emmanuel K, Pereira, Gavin, Pereira, Jeevan, Pereira, Marcos, Peres, Mario F P, Perianayagam, Arokiasamy, Perico, Norberto, Petcu, Ionela-Roxana, Petermann-Rocha, Fanny Emily, Pezzani, Raffaele, Pham, Hoang Tran, Phillips, Michael R, Pierannunzio, Daniela, Pigeolet, Manon, Pigott, David M, Pilgrim, Thomas, Pinheiro, Marina, Piradov, Michael A, Plakkal, Nishad, Plotnikov, Evgenii, Poddighe, Dimitri, Pollner, Peter, Poluru, Ramesh, Pond, Constance Dimity, Postma, Maarten J, Poudel, Govinda Raj, Poudel, Lisasha, Pourali, Ghazaleh, Pourtaheri, Naeimeh, Prada, Sergio I, Pradhan, Pranil Man Singh, Prajapati, Vijay Kumar, Prasad, Chandra P, Prasad, Manya, Prashant, Akila, Prates, Elton Junio Sady, Purnobasuki, Hery, Purohit, Bharathi M, Puvvula, Jagadeesh, Qaisar, Rizwan, Qasim, Nameer Hashim, Qattea, Ibrahim, Qian, Gangzhen, Quan, Nguyen Khoi, Radfar, Amir, Radhakrishnan, Venkatraman, Raee, Pourya, Raeisi Shahraki, Hadi, Rafiei Alavi, Seyedeh Niloufar, Rafique, Ibrar, Raggi, Alberto, Rahim, Fakher, Rahman, Md Mosfequr, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahman, Tafhimur, Rahmani, Amir Masoud, Rahmani, Shayan, Rahnavard, Niloufar, Rai, Pramila, Rajaa, Sathish, Rajabpour-Sanati, Ali, Rajput, Prashant, Ram, Prasanna, Ramadan, Hazem, Ramasamy, Shakthi Kumaran, Ramazanu, Sheena, Rana, Juwel, Rana, Kritika, Ranabhat, Chhabi Lal, Rancic, Nemanja, Rani, Smitha, Ranjan, Shubham, Rao, Chythra R, Rao, Indu Ramachandra, Rao, Mithun, Rao, Sowmya J, Rasali, Drona Prakash, Rasella, Davide, Rashedi, Sina, Rashedi, Vahid, Rashid, Ahmed Mustafa, Rasouli-Saravani, Ashkan, Rastogi, Prateek, Rasul, Azad, Ravangard, Ramin, Ravikumar, Nakul, Rawaf, David Laith, Rawaf, Salman, Rawassizadeh, Reza, Razeghian-Jahromi, Iman, Reddy, Murali Mohan Rama Krishna, Redwan, Elrashdy Moustafa Mohamed, Rehman, Faizan Ur, Reiner Jr, Robert C, Remuzzi, Giuseppe, Reshmi, Bhageerathy, Resnikoff, Serge, Reyes, Luis Felipe, Rezaee, Malihe, Rezaei, Negar, Rezaei, Nima, Rezaeian, Mohsen, Riaz, Mavra A, Ribeiro, Ana Isabel, Ribeiro, Daniel Cury, Rickard, Jennifer, Rios-Blancas, Maria Jesus, Robinson-Oden, Hannah Elizabeth, Rodrigues, Mónica, Rodriguez, Jefferson Antonio Buendia, Roever, Leonardo, Rohilla, Ravi, Rohloff, Peter, Romadlon, Debby Syahru, Ronfani, Luca, Roshandel, Gholamreza, Roshanzamir, Sharareh, Rostamian, Morteza, Roy, Bedanta, Roy, Priyanka, Rubagotti, Enrico, Rumisha, Susan Fred, Rwegerera, Godfrey M, Rynkiewicz, Andrzej, S, Manjula, S N, Chandan, S Sunnerhagen, Katharina, Saad, Aly M A, Sabbatucci, Michela, Saber, Korosh, Saber-Ayad, Maha Mohamed, Sacco, Simona, Saddik, Basema, Saddler, Adam, Sadee, Bashdar Abuzed, Sadeghi, Ehsan, Sadeghi, Masoumeh, Sadeghian, Saeid, Saeed, Umar, Saeedi, Maryam, Safi, Sare, Sagar, Rajesh, Saghazadeh, Amene, Saheb Sharif-Askari, Narjes, Sahoo, Soumya Swaroop, Sahraian, Mohammad Ali, Sajedi, Seyed Aidin, Sajid, Mirza Rizwan, Sakshaug, Joseph W, Salahi, Saina, Salahi, Sarvenaz, Salamati, Payman, Salami, Afeez Abolarinwa, Salaroli, Luciane B, Saleh, Mohamed A, Salehi, Sana, Salem, Marwa Rashad, Salem, Mohammed Z Y, Salimi, Sohrab, Samadi Kafil, Hossein, Samadzadeh, Sara, Samara, Kamel A, Samargandy, Saad, Samodra, Yoseph Leonardo, Samuel, Vijaya Paul, Samy, Abdallah M, Sanabria, Juan, Sanadgol, Nima, Sanganyado, Edmond, Sanjeev, Rama Krishna, Sanmarchi, Francesco, Sanna, Francesca, Santri, Ichtiarini Nurullita, Santric-Milicevic, Milena M, Sarasmita, Made Ary, Saravanan, Aswini, Saravi, Babak, Sarikhani, Yaser, Sarkar, Chinmoy, Sarmiento-Suárez, Rodrigo, Sarode, Gargi Sachin, Sarode, Sachin C, Sarveazad, Arash, Sathian, Brijesh, Sathish, Thirunavukkarasu, Sattin, Davide, Saulam, Jennifer, Sawyer, Susan M, Saxena, Sonia, Saya, Ganesh Kumar, Sayadi, Yaser, Sayeed, Abu, Sayeed, Md Abu, Saylan, Mete, Scarmeas, Nikolaos, Schaarschmidt, Benedikt Michael, Schlee, Winfried, Schmidt, Maria Inês, Schuermans, Art, Schwebel, David C, Schwendicke, Falk, Šekerija, Mario, Selvaraj, Siddharthan, Semreen, Mohammad H, Senapati, Sabyasachi, Sengupta, Pallav, Senthilkumaran, Subramanian, Sepanlou, Sadaf G, Serban, Dragos, Sertsu, Addisu, Sethi, Yashendra, SeyedAlinaghi, SeyedAhmad, Seyedi, Seyed Arsalan, Shafaat, Amir, Shafaat, Omid, Shafie, Mahan, Shafiee, Arman, Shah, Nilay S, Shah, Pritik A, Shahabi, Saeed, Shahbandi, Ataollah, Shahid, Izza, Shahid, Samiah, Shahid, Wajeehah, Shahwan, Moyad Jamal, Shaikh, Masood Ali, Shakeri, Alireza, Shakil, Husain, Sham, Sunder, Shamim, Muhammad Aaqib, Shams-Beyranvand, Mehran, Shamshad, Hina, Shamshirgaran, Mohammad Ali, Shamsi, Mohammad Anas, Shanawaz, Mohd, Shankar, Abhishek, Sharfaei, Sadaf, Sharifan, Amin, Shariff, Mariam, Sharifi-Rad, Javad, Sharma, Manoj, Sharma, Rajesh, Sharma, Saurab, Sharma, Vishal, Shastry, Rajesh P, Shavandi, Amin, Shaw, David H, Shayan, Amir Mehdi, Shehabeldine, Amr Mohamed Elsayed, Sheikh, Aziz, Sheikhi, Rahim Ali, Shen, Jiabin, Shenoy, Manjunath Mala, Shetty, B Suresh Kumar, Shetty, Ranjitha S, Shey, Robert Adamu, Shiani, Amir, Shibuya, Kenji, Shiferaw, Desalegn, Shigematsu, Mika, Shin, Jae Il, Shin, Min-Jeong, Shiri, Rahman, Shirkoohi, Reza, Shittu, Aminu, Shiue, Ivy, Shivakumar, K M, Shivarov, Velizar, Shool, Sina, Shrestha, Sunil, Shuja, Kanwar Hamza, Shuval, Kerem, Si, Yafei, Sibhat, Migbar Mekonnen, Siddig, Emmanuel Edwar, Sigfusdottir, Inga Dora, Silva, João Pedro, Silva, Luís Manuel Lopes Rodrigues, Silva, Soraia, Simões, Jorge Piano, Simpson, Colin R, Singal, Anjali, Singh, Abhinav, Singh, Aditya, Singh, Ambrish, Singh, Balbir Bagicha, Singh, Baljinder, Singh, Mahendra, Singh, Mayank, Singh, Narinder Pal, Singh, Paramdeep, Singh, Surjit, Siraj, Md Shahjahan, Sitas, Freddy, Sivakumar, Shravan, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Sleet, David A, Slepak, Erica Leigh N, Sohrabi, Hanye, Soleimani, Hamidreza, Soliman, Sameh S M, Solmi, Marco, Solomon, Yonatan, Song, Yimeng, Sorensen, Reed J D, Soriano, Joan B, Soyiri, Ireneous N, Spartalis, Michael, Sreeramareddy, Chandrashekhar T, Starnes, Joseph R, Starodubov, Vladimir I, Starodubova, Antonina V, Stefan, Simona Cătălina, Stein, Dan J, Steinbeis, Fridolin, Steiropoulos, Paschalis, Stockfelt, Leo, Stokes, Mark A, Stortecky, Stefan, Stranges, Saverio, Stroumpoulis, Konstantinos, Suleman, Muhammad, Suliankatchi Abdulkader, Rizwan, Sultana, Abida, Sun, Jing, Sunkersing, David, Susanty, Sri, Swain, Chandan Kumar, Sykes, Bryan L, Szarpak, Lukasz, Szeto, Mindy D, Szócska, Miklós, Tabaee Damavandi, Payam, Tabatabaei Malazy, Ozra, Tabatabaeizadeh, Seyed-Amir, Tabatabai, Shima, Tabb, Karen M, Tabish, Mohammad, Taborda-Barata, Luis M, Tabuchi, Takahiro, Tadesse, Birkneh Tilahun, Taheri, Amirmasoud, Taheri Abkenar, Yasaman, Taheri Soodejani, Moslem, Taherkhani, Amir, Taiba, Jabeen, Tajbakhsh, Ardeshir, Talaat, Iman M, Talukder, Ashis, Tamuzi, Jacques Lukenze, Tan, Ker-Kan, Tang, Haosu, Tang, Hong K, Tat, Nathan Y, Tat, Vivian Y, Tavakoli Oliaee, Razieh, Tavangar, Seyed Mohammad, Taveira, Nuno, Tebeje, Tsion Mulat, Tefera, Yibekal Manaye, Teimoori, Mojtaba, Temsah, Mohamad-Hani, Temsah, Reem Mohamad Hani, Teramoto, Masayuki, Tesfaye, Solomon Hailemariam, Thangaraju, Pugazhenthan, Thankappan, Kavumpurathu Raman, Thapa, Rajshree, Thapar, Rekha, Thomas, Nihal, Thrift, Amanda G, Thum, Chern Choong Chern, Tian, Jing, Tichopad, Ales, Ticoalu, Jansje Henny Vera, Tiruye, Tenaw Yimer, Tohidast, Seyed Abolfazl, Tonelli, Marcello, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Tram, Khai Hoan, Tran, Nghia Minh, Trico, Domenico, Trihandini, Indang, Tromans, Samuel Joseph, Truong, Vien T, Truyen, Thien Tan Tri Tai, Tsermpini, Evangelia Eirini, Tumurkhuu, Munkhtuya, Tung, Kang, Tyrovolas, Stefanos, Ubah, Chukwudi S, Udoakang, Aniefiok John, Udoh, Arit, Ulhaq, Inam, Ullah, Saeed, Ullah, Sana, Umair, Muhammad, Umar, Tungki Pratama, Umeokonkwo, Chukwuma David, Umesh, Anushri, Unim, Brigid, Unnikrishnan, Bhaskaran, Upadhyay, Era, Urso, Daniele, Vacante, Marco, Vahdani, Amir Mohammad, Vaithinathan, Asokan Govindaraj, Valadan Tahbaz, Sahel, Valizadeh, Rohollah, Van den Eynde, Jef, Varavikova, Elena, Varga, Orsolya, Varma, Siddhartha Alluri, Vart, Priya, Varthya, Shoban Babu, Vasankari, Tommi Juhani, Veerman, Lennert J, Venketasubramanian, Narayanaswamy, Venugopal, Deneshkumar, Verghese, Nicholas Alexander, Verma, Madhur, Verma, Pratibha, Veroux, Massimiliano, Verras, Georgios-Ioannis, Vervoort, Dominique, Vieira, Rafael José, Villafañe, Jorge Hugo, Villani, Leonardo, Villanueva, Gabriela Ines, Villeneuve, Paul J, Violante, Francesco S, Visontay, Rachel, Vlassov, Vasily, Vo, Bay, Vollset, Stein Emil, Volovat, Simona Ruxandra, Volovici, Victor, Vongpradith, Avina, Vos, Theo, Vujcic, Isidora S, Vukovic, Rade, Wado, Yohannes Dibaba, Wafa, Hatem A, Waheed, Yasir, Wamai, Richard G, Wang, Cong, Wang, Denny, Wang, Fang, Wang, Shu, Wang, Song, Wang, Yanzhong, Wang, Yuan-Pang, Ward, Paul, Watson, Stefanie, Weaver, Marcia R, Weerakoon, Kosala Gayan, Weiss, Daniel J, Weldemariam, Abrha Hailay, Wells, Katherine M, Wen, Yi Feng, Werdecker, Andrea, Westerman, Ronny, Wickramasinghe, Dakshitha Praneeth, Wickramasinghe, Nuwan Darshana, Wijeratne, Tissa, Wilson, Shadrach, Wojewodzic, Marcin W, Wool, Eve E, Woolf, Anthony D, Wu, Dongze, Wulandari, Ratna Dwi, Xiao, Hong, Xu, Bin, Xu, Xiaoyue, Yadav, Lalit, Yaghoubi, Sajad, Yang, Lin, Yano, Yuichiro, Yao, Yao, Ye, Pengpeng, Yesera, Gesila Endashaw, Yesodharan, Renjulal, Yesuf, Subah Abderehim, Yiğit, Arzu, Yiğit, Vahit, Yip, Paul, Yon, Dong Keon, Yonemoto, Naohiro, You, Yuyi, Younis, Mustafa Z, Yu, Chuanhua, Zadey, Siddhesh, Zadnik, Vesna, Zafari, Nima, Zahedi, Mohammad, Zahid, Muhammad Nauman, Zahir, Mazyar, Zakham, Fathiah, Zaki, Nazar, Zakzuk, Josefina, Zamagni, Giulia, Zaman, Burhan Abdullah, Zaman, Sojib Bin, Zamora, Nelson, Zand, Ramin, Zandi, Milad, Zandieh, Ghazal G Z, Zanghì, Aurora, Zare, Iman, Zastrozhin, Mikhail Sergeevich, Zeariya, Mohammed G M, Zeng, Youjie, Zhai, Chunxia, Zhang, Chen, Zhang, Haijun, Zhang, Hongwei, Zhang, Yunquan, Zhang, Zhaofeng, Zhang, Zhenyu, Zhao, Hanqing, Zhao, Yang, Zhao, Yong, Zheng, Peng, Zhong, Chenwen, Zhou, Juexiao, Zhu, Bin, Zhu, Zhaohua, Ziaeefar, Pardis, Zielińska, Magdalena, Zou, Zhiyong, Zumla, Alimuddin, Zweck, Elric, Zyoud, Samer H, Lim, Stephen S, and Murray, Christopher J L
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- 2024
8. (169) New Findings Regarding the Degree of Penile Curvature Correction with IPP Alone
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Atwater, B, primary, Rezaee, M, additional, Gross, M, additional, and Alvermann, T, additional
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- 2024
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9. (175) Shorter Duration of Postop IPP Inflation Following Manual Modeling May Lead to Curvature Regression
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Atwater, B, primary, Alvermann, T, additional, Rezaee, M, additional, and Gross, M, additional
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- 2024
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10. (171) The Effects of Pretreatment with Xiaflex on Penile Curvature Correction with Manual Modeling During and After IPP placement
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Atwater, B, primary, Rezaee, M, additional, Gross, M, additional, and Alvermann, T, additional
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- 2024
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11. Preclinical FLASH-SARRP System: Initial Experience on Small Animal Setup and Workflow
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Sforza, D., Tajikmansoury, M., Wong, J.W., Iordachita, I., and Rezaee, M.
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- 2024
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12. Investigating the Roles of the Epithelial-Mesenchymal Transition Program in Small Cell Lung Cancer Tumorigenesis and Chemoradiation Response
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Nguyen, T., Chang, J.H., Gabrielson, K., Shetty, A.C., Song, Y., Lafargue, A., Jagtap, S., Council, D.N., Chan, A., Chowdhury, D.D., Khan, M. Ajmal, Connis, N., Carrieri, F.A.A., Imada, E., Sforza, D., Gardner, E., McFarland, C., Marchionni, L., Rezaee, M., Hann, C., and Tran, P.T.
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- 2024
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13. Impact of TWIST1 Transactivation Domain towards Oncogene-Induced Senescence Suppression in Non-Small Cell Lung Cancer
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Lafargue, A., Wang, H., Thiruganasambandam, S., Gajula, R.P., Shetty, A.C., Song, Y., Simons, B.W., Nguyen, T., Connis, N., Chowdhury, D.D., Chang, J.H., Council, D.N., Taparra, K., Rezaee, M., Zachara, N., Morris, Z., McFarland, C., Abdulkadir, S.A., Hann, C.L., and Tran, P.T.
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- 2024
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14. Investigating the Role of TNIK in the Pathogenesis of Lung Squamous Cell Carcinoma
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Chang, J.H., Chowdhury, D.D., Council, D.N., Nguyen, T., Jagtap, S., Chan, A., Khan, M. Ajmal, Connis, N., Torres-Ayuso, P., Brognard, J., Rezaee, M., Lafargue, A., Hann, C.L., and Tran, P.T.
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- 2024
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15. Comparison of Post Treatment Hematologic Changes between FLASH and Conventional Dose Rate Murine Brain Irradiation
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Aziz, K., Sforza, D., Tajik-Mansoury, E., Rezaee, M., and Kleinberg, L.R.
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- 2024
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16. A0476 - Metformin - a risk factor for metabolic acidosis after radical cystectomy with ileal conduit or continent diversion? A national claims database analysis.
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Pallauf, M., Rezaee, M., Kohn, T.P., Mcnamara, M., Broenimann, S., Hoffman-Censits, J., Smith, A., and Singla, N.
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ACIDOSIS , *DATABASES , *CYSTECTOMY , *METFORMIN , *CONTINENTS , *BLADDER cancer - Published
- 2024
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17. ORCA: A Tool for Radiological Consequences for Accidental Releases.
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Maka, P., Van Heerden, E., and Rezaee, M.
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AbstractEvaluating atmospheric dispersion and radiological doses in the vicinity of buildings is required for small modular reactors (SMRs) because of the reduced size of their exclusion area boundary. The current Canadian nuclear industry tool for these calculations implements the methodology defined in CSA Standard N288.2-M91, which was written to support large Canada Deuterium Uranium (CANDU) nuclear reactors as opposed to SMRs. The ORCA (On/offsite Radiological Consequences of Accidents) code has been developed to address this technical concern in addition to evaluating atmospheric dispersion and doses in the far field. The code calculates worker and public doses following an airborne release of radioactive material into the atmosphere under postulated accident conditions at a nuclear facility. The current paper presents the key assumptions and methods utilized in ORCA and discusses qualification of the software to the requirements of CSA Standard N286.7-16. The new model is applicable to SMRs and existing reactor designs and reduces conservatisms in the near field (i.e., <1 km from the source) relative to the methods in CSA N288.2-M91. [ABSTRACT FROM AUTHOR]
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- 2024
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18. P268 - Oncologic outcomes in patients with variant histologies of upper tract urothelial cancer: Results from an international multicenter cohort.
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Pallauf, M., Fletcher, S.A., Rezaee, M., Roupret, M., Boorjian, S.A., Potretzke, A.M., Djaladat, H., Ghoreifi, A., Soria, F., Mari, A., Campi, R., Khene, Z-E., Kikuchi, E., Rink, M., Fujita, K., D'Andrea, D., Boormans, J.L., Ploussard, G., Breda, A., and Abdollah, F.
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TRANSITIONAL cell carcinoma , *TREATMENT effectiveness , *HISTOLOGY - Published
- 2024
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19. Dimethyl itaconate modulates neuroprotective effect on primary rat astrocytes under inflammatory condition by regulating the expression of neurotrophic factors and TrkA/B-P75 receptors.
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Azari N, Rezaee M, Dayer D, and Tabandeh MR
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Introduction: Astrocytes, specialized glial cells, are essential for maintaining the central nervous system homeostasis. Inflammatory conditions can disrupt neurotrophic factors and receptor expression in astrocytes, leading to potential central nervous system damage. Itaconate, recently identified for its anti-inflammatory properties, was investigated in this study for its effects on neurotrophic factors in LPS-stimulated primary rat astrocytes. Methods: Primary rat astrocyte cells were isolated from one-day-old Wistar rats and exposed to 1 µg/ml lipopolysaccharide (LPS) for 6 h to stimulate inflammation. The effect of DMI (62.5, 125, and 250 µM for 18 h) on the cell viability of astrocyte cells exposed to LPS was evaluated by the MTT assay. The effects of DMI on the mRNA and protein levels of NGF, BDNF, and GDNF were evaluated using ELISA and qRT-PCR assays. Protein and mRNA levels of neurotrophic factor receptors (TrkA, TrkB, and P75) were evaluated using qRT-PCR and Western blot analyses. Results: The results showed that DMI suppressed astrocytes cell death induced by LPS in a dose-dependent manner. DMI dose-dependently restored the reduced mRNA and protein levels of NGF, BDNF, GDNF, and TrkA and TrkB receptors in LPS-treated astrocytes, but it significantly decreased the p75 expression in the same condition. Conclusion: In conclusion, DMI may be able to support astrocyte survival and functions based on the restoration of neurotrophic factors and their receptors expression in LPS-stimulated astrocyte cells. This suggests that DMI could be a promising therapeutic option for neurodegenerative diseases characterized by inflammation-induced astrocyte dysfunction.
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- 2024
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20. The effects of Fe 3 O 4 NPs@SiO2 and Fe 3 O 4 NPs@pectin nanoparticles on the MCF-7 breast cancer cell line and the expression of BAX, TPX1 and BCL2 genes.
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Khajeh Hesami SR, Keshavarzi F, Khodabandeh Z, Jamhiri I, and Rezaee M
- Abstract
Breast cancer is a cause of death in women, making it a significant issue in women's health. The aim of this study was to evaluate the effects of nanoparticles (NPs) of Fe
3 O4 NPs@pectin and Fe3 O4 NPs@SiO2 on MCF-7 cells. Fe3 O4 NPs@pectin and Fe3 O4 NPs@SiO2 NPs were prepared using the chemical coprecipitation technique. The characteristics of the NPs were determined using physical methods. The cytotoxic effects of the NPs were assessed by the MTT assay. The expression levels of BAX, BCL2, and TPX1 genes were determined using real-time PCR. The results indicated a density ratio of 0.11, a saturation magnetism value of 68.5 emu/g, and a spherical with sizes of 98 nm for the NPs. The MTT assay showed that 500 μg/mL of NPs had 75 % toxicity on MCF-7 cells after five days. The increased expression of BAX with 250 μg/mL of Fe3 O4 @pectin showed a significant relationship (p-value = 0.0030). Down-regulated expression of BCL2 showed a significant relationship between the three groups treated with 250 μg/mL and 500 μg/mL of Fe3 O4 @SiO2 and 250 μg/mL of Fe3 O4 @pectin (p-values of 0.0014, 0.0009 and 0.0030, respectively). Additionally, decreased TPX indicated a significant relationship between treatment at 125, 250 and 500 μg/mL of Fe3 O4 @SiO2 (p-values of 0.0388, 0.0063 and 0.0496, respectively)., 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 B.V. All rights reserved.)- Published
- 2024
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21. Cost-effectiveness of oral versus injectable disease modifying therapies in relapsing multiple sclerosis: a systematic review analysis.
- Author
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Rezaee M, Ravangard R, Mojtabaeian SM, and Jafari A
- Subjects
- Humans, Administration, Oral, Alemtuzumab administration & dosage, Alemtuzumab therapeutic use, Alemtuzumab economics, Crotonates therapeutic use, Crotonates administration & dosage, Crotonates economics, Hydroxybutyrates, Immunosuppressive Agents economics, Immunosuppressive Agents therapeutic use, Immunosuppressive Agents administration & dosage, Injections, Interferon beta-1a therapeutic use, Interferon beta-1a administration & dosage, Interferon beta-1a economics, Nitriles economics, Nitriles therapeutic use, Nitriles administration & dosage, Toluidines therapeutic use, Toluidines administration & dosage, Toluidines economics, Fingolimod Hydrochloride therapeutic use, Fingolimod Hydrochloride economics, Fingolimod Hydrochloride administration & dosage, Multiple Sclerosis, Relapsing-Remitting drug therapy, Multiple Sclerosis, Relapsing-Remitting economics, Cost-Effectiveness Analysis
- Abstract
Background: Multiple sclerosis (MS) is a chronic and progressive neurological autoimmune disease that affects the central nervous system. There are two types of drugs used to treat this disease: injectable and oral drugs. The present study aimed at systematically reviewing the cost effectiveness of oral versus injectable drugs., Methods: The researchers searched the PubMed, Scopus, and Web of Science databases to find relevant studies. After removing the duplicates, two authors independently assessed the records. The studies that had conducted full economic evaluations of oral versus injectable drugs in MS patients were included. The Quality of Health Economic Studies (QHES) tool was also used to assess the quality of the studies., Results: Thirty studies that had conducted the economic analysis of oral versus injectable therapies in MS patients were included in this review. The QHES scores for all records were generally high (≥ 77) and they were of good quality. The lowest and highest levels of incremental net monetary benefit were respectively obtained through the comparison of Fingolimod and Alemtuzumab (-1,419,333) and the comparison of Teriflunomide and Interferon β-1a (1,792,810). The amount of INMB (incremental net monetary benefit) in the comparisons between oral and injectable drugs showed that the highest and lowest amount of INMB calculated between) Fingolimod and injectable drugs, respectively, compared to (interferon β-1a) 98,253 and (Ocrelizumab) -212,417, the highest amount in dimethyl fumarate is also against (peginterferon β-1a) 191,470 and the lowest against (alemtuzumab) -124,333, Teriflunomide against injectable drugs is the highest against (peginterferon β-1a) 89,956 and the lowest (Ocrelizumab) - 194,169, as well as Cladribine compared to injectable drugs, the highest was compared to (interferon β-1a) 236,430 and the lowest (Ocrelizumab) was 23,965., Conclusion: A large number of health economic evaluations of disease-modifying therapies (DMTs) in MS were available at the international level, the comparison of which was difficult and sometimes contradictory. However, despite the difference in the results, Cladribine tablets were cost-effective in all studies compared with injectable drugs. In addition, the present study could be of great importance for policymakers and other beneficiaries regarding the cost-effectiveness of the aforementioned drugs., (© 2024. The Author(s).)
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- 2024
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22. Effect of Ultrahigh Dose Rate on Biomolecular Radiation Damage.
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Sforza D, Bunz F, Wong J, Miles D, Adhikary A, and Rezaee M
- Abstract
Dose rate is one of the important parameters in radiation-induced biomolecular damage. The effects of dose rate have been known to modify radiation toxicity in biological systems. The rate and extent of sublethal DNA damage (e.g., base damage and single-strand breaks) repair and those of cell proliferation have been manifested by dose rate. However, the recent preclinical application of ultrahigh dose rate [(UHDR) ca. 40 Gy/s and higher] radiation modalities have been shown to lower the type and extent of radiation damage to biological systems. At these UHDR, radiation-induced physicochemical and chemical processes are expected to differ from those observed after irradiation at conventional dose rates (CONV). It is unclear whether these UHDR conditions can affect the quality (type) and quantity (extent) of biomolecular damage such as DNA lesions. Here, we comparatively study the influence of indirect effects of CONV and UHDR on the formation of DNA strand breaks and clustered damage including densely accumulated lesions in an aerated and an anoxic dilute aqueous solution of a plasmid DNA model under low and high hydroxyl radical (•OH) scavenging conditions. Aqueous solutions of purified supercoiled plasmid DNA (pUC19) were prepared in either air- or nitrogen-saturated conditions, with Tris buffer added as the radiation-produced •OH scavenger at low and high scavenging capacities. These DNA samples were irradiated using kV X-ray systems at CONV (0.1 Gy/s) and high dose rate (HDR, 25 Gy/s) as well as UHDR (55 and 125 Gy/s) under different scavenging and environmental conditions. DNA lesions including strand breaks and clustered damage including densely accumulated lesions were quantified by gel electrophoresis and the yields of these lesions were calculated from the dose-response curve. Non-DSB clustered damage including densely accumulated lesions were evaluated by treating DNAs using bacterial endonuclease enzymes (Fpg and Nth) prior to gel electrophoresis. UHDR of 55 and 125 Gy/s induced lower amounts of both isolated strand breaks and clustered DNA damage including densely accumulated lesions at doses >40 Gy in the presence of oxygen, compared to the abundance of these lesions induced by 0.1 and 25 Gy/s irradiation under the same dose conditions. Overall, the strand break and clustered damage including densely accumulated lesions yields decreased by factors of 1.3-3.5 after UHDR. We did not observe these differences either via •OH scavenging or by removing oxygen from the solution. In addition, our results point out that the inter-track recombination reactions did not contribute to the observed dose-rate effects on DNA damage. The effects of dose rate on DNA damage are highly dependent on the total dose, as expected, but also on the •OH scavenging capacity that is employed in the aqueous DNA solutions. These important variables may be relevant in biological systems as well. On a practical level, our in vitro plasmid DNA model, which permits to precisely vary the scavenging capacity and gassing conditions (air saturated vs. N2 saturated) can help to differentiate dose-rate effects on biomolecular damage. Our results indicate that the radical-radical reactions are important in understanding the dose-rate effect on DNA damage., (© 2024 by Radiation Research Society. All rights of reproduction in any form reserved.)
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- 2024
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23. Development of fast-dissolving sublingual nanofibers containing allergen and curcumin for immune response modulation in a mouse model of allergic rhinitis.
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Ansari B, Abbaspour MR, Estajy A, Haghnavaz N, Pordel S, Rezaee M, Shobeiri SS, Moghadam M, Hashemi M, and Sankian M
- Subjects
- Animals, Female, Mice, Administration, Sublingual, Interferon-gamma, Interleukin-4, Spleen drug effects, Spleen immunology, Lung drug effects, Lung pathology, Lung immunology, Nanofibers, Mice, Inbred BALB C, Rhinitis, Allergic drug therapy, Rhinitis, Allergic immunology, Ovalbumin immunology, Disease Models, Animal, Allergens administration & dosage, Allergens immunology, Curcumin administration & dosage, Curcumin pharmacology, Immunoglobulin E blood, Sublingual Immunotherapy methods
- Abstract
Curcumin (CUR) has been considered a potential therapeutic agent for allergic reactions due to its antioxidant and anti-inflammatory activities. Nanofibers have attracted increasing attention in drug delivery. The aim of this study was to investigate the combined therapeutic effects of curcumin and allergen in nanofiber-based treatments in order to increase the effectiveness of sublingual immunotherapy (SLIT) efficacy in a mouse model of allergic rhinitis. Nanofibers containing CUR (1.25% and 2.5%) and ovalbumin 2% (OVA) as an allergen were prepared via electrospinning and characterized. BALB/c mice were sensitized with OVA to the induced allergic rhinitis model. SLIT with free and/or nanofibers was carried out. IL-4, INF-γ, and IgE serum levels were measured using ELISA. Splenocyte proliferation was evaluated by the MTT assay. Lung and nasal histological examinations and nasal lavage fluid (NALF) cell counting were carried out. Nanofibers containing 1.25% CUR and 2% OVA were chosen as the optimal formulations. SLIT treatment with the CUR and OVA nanofiber co-administration led to a significantly decreased serum IgE. Nanofiber containing 2.5 µg of CUR/mouse combined with OVA nanofiber showed a significant decrease in IL-4 and an increase in IFN-γ compared to other groups. NALF assessment showed a significant decrease in specific cell and eosinophil counts in the treated nanofiber groups. The histopathological results of NAL in the optimal formulations were near normal, with diminished cellular infiltration and inflammation. Our findings suggest that co-sublingual administration of allergen and CUR nanofibers can be considered as potential immunomodulatory agents., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
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- 2024
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24. Transperineal vs Transrectal Prostate Biopsy-The PREVENT Randomized Clinical Trial.
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Hu JC, Assel M, Allaf ME, Vickers AJ, Ehdaie B, Cohen AJ, Green DA, Ghazi A, Ristau BT, Kowalczyk KJ, George AK, Patel HD, Montgomery JS, Han M, Rezaee M, Pavlovich CP, Patel NA, Ross AE, Kundu SD, Wang GJ, Shoag JE, Singla N, Stensland K, Gorin MA, Schaeffer AJ, and Schaeffer EM
- Published
- 2024
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25. Expandable hESC-derived cardiovascular progenitor cells generate functional cardiac lineage cells for microtissue construction.
- Author
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Rezaeiani S, Rezaee M, Shafaghi M, Karami M, Hamidi R, Khodayari H, Vahdat S, Pahlavan S, and Baharvand H
- Subjects
- Humans, Animals, Rats, Cell Lineage, Cells, Cultured, Cell Differentiation, Myocytes, Cardiac cytology, Myocytes, Cardiac metabolism, Human Embryonic Stem Cells cytology, Human Embryonic Stem Cells metabolism
- Abstract
Background: Cardiovascular progenitor cells (CPCs) derived from human embryonic stem cells (hESCs) are considered valuable cell sources for investigating cardiovascular physiology in vitro. Meeting the diverse needs of this application requires the large-scale production of CPCs in an in vitro environment. This study aimed to use an effective culture system utilizing signaling factors for the large-scale expansion of hESC-derived CPCs with the potential to differentiate into functional cardiac lineage cells., Methods and Results: Initially, CPCs were generated from hESCs using a 4-day differentiation protocol with a combination of four small molecules (CHIR99021, IWP2, SB-431542, and purmorphamine). These CPCs were then expanded and maintained in a medium containing three factors (bFGF, CHIR, and A83-01), resulting in a > 6,000-fold increase after 8 passages. These CPCs were successfully cryopreserved for an extended period in late passages. The expanded CPCs maintained their gene and protein expression signatures as well as their differentiation capacity through eight passages. Additionally, these CPCs could differentiate into four types of cardiac lineage cells: cardiomyocytes, endothelial cells, smooth muscle cells, and fibroblasts, demonstrating appropriate functionality. Furthermore, the coculture of these CPC-derived cardiovascular lineage cells in rat tail collagen resulted in cardiac microtissue formation, highlighting the potential of this 3D platform for studying cardiovascular physiology in vitro., Conclusion: In conclusion, expandable hESC-derived CPCs demonstrated the ability to self-renewal and differentiation into functional cardiovascular lineage cells consistently across passages, which may apply as potential cell sources for in vitro cardiovascular studies., (© 2024. The Author(s).)
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- 2024
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26. An environmentally friendly deep eutectic solvent for CO 2 capture.
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Manafpour AA, Feyzi F, and Rezaee M
- Abstract
A leading cause of global warming is the increase of carbon dioxide (CO
2 ) emissions due to anthropogenic activities which prompts an urgent need for substantial reduction. Recently, CO2 absorption in deep eutectic solvents (DESs) has attracted scientific attention, because of their adaptability compared to traditional ionic liquids and aqueous amine solutions. This study employs the heating method to synthesize DESs using tetrapropylammonium bromide (TPAB) and formic acid (Fa) with molar ratios of TPAB-Fa (1:1) and TPAB-Fa (1:2). Absorption experiments by static method quantified CO2 solubility in the DESs under varied pressures and temperatures. TPAB-Fa (1:2) at 25.0 °C was the most efficient with the CO2 solubility of 0.218. Thermodynamic modeling was performed by employing the nonrandom two liquids activity coefficient model and the Peng-Robinson equation of state for the liquid and gas phases, respectively. The Henry's law constant was determined from experimental data. CO2 physical absorption was confirmed via nuclear magnetic resonance (NMR) and Fourier-transform infrared (FT-IR) analyses. TPAB-Fa (1:2), as the superior DES, exhibited regeneration efficiency of 99% after five absorption/desorption cycles., (© 2024. The Author(s).)- Published
- 2024
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27. Predictors of pain intensity in carpal tunnel syndrome: Development and validation of a model.
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Rezaee M, Roshandel H, Rahimibarghani S, Rihani TSS, and Mohammadyahya E
- Subjects
- Humans, Female, Middle Aged, Male, Aged, Adult, Pain physiopathology, Pain etiology, Carpal Tunnel Syndrome physiopathology, Pain Measurement methods
- Abstract
Objective: Pain often accompanies carpal tunnel syndrome and affects patients' health-related quality of life. The aim was to develop and validate a predictive model for the pain intensity of carpal tunnel syndrome using demographic, clinical, electrophysiological, and ultrasound findings., Methods: We conducted a secondary analysis of data from a large sample of patients (May 2017 to December 2022) with carpal tunnel syndrome. A total of 520 (53.0 %) mild, 276 (28.1 %) moderate, and 186 (18.9 %) severe syndromes were included in the complete data set of 982 hands (61.1 % female). The mean age was 57.8 (10.7) years and the median duration [interquartile range] of the symptoms was 4 [2,10] months. A regression model was developed and validated to predict pain intensity on a numerical rating scale using a tree-based machine learning algorithm., Results: The validation of the regression model showed good performance with a root mean squared error, R-squared, and mean absolute error of 1.35, 0.42, and 1.05, respectively. Overall, the top significant predictors of pain intensity were compound motor nerve action potential latency, nocturnal pain, and thenar weakness. These were followed by the cross-sectional area of the median nerve, sensory nerve action potential, bowing of the flexor retinaculum, disease duration, and body mass index. We did not find strong associations between the median nerve transcarpal latency, age, sex, and diabetes with the pain intensity of carpal tunnel syndrome., Conclusion: Our model showed good performance in predicting the subjective pain intensity of carpal tunnel syndrome, even in the context of non-linear relations., Competing Interests: Competing interests The authors declare that they have no competing interests., (Copyright © 2024 Elsevier B.V. All rights reserved.)
- Published
- 2024
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28. Overutilization of head computed tomography in cases of mild traumatic brain injury: a systematic review and meta-analysis.
- Author
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Rezaee M, Nasehi MM, Effatpanah M, Jabbaripour S, Ghamkhar M, Karami H, Mehrizi R, Torabi P, and Ghamkhar L
- Subjects
- Humans, Tomography, X-Ray Computed, Brain Concussion diagnostic imaging
- Abstract
Head computed tomography (CT) is the preferred imaging modality for mild traumatic brain injury (mTBI). The routine use of head CT in low-risk individuals with mild TBI offers no clinical benefit but also causes notable health and financial burden. Despite the availability of related guidelines, studies have reported considerable rate of non-indicated head CT requests. The objectives were to provide an overall estimate for the head CT overutilization rate and to identify the factors contributing to the overuse. A systematic review of PubMed, Scopus, Web of Science, and Embase databases was conducted up to November 2023, following PRISMA and MOOSE guidelines. Two reviewers independently selected eligible articles and extracted data. Quality assessment was performed using a bias risk tool, and a random-effects model was used for data synthesis. Fourteen studies, encompassing 28,612 patients, were included, with 27,809 undergoing head CT scans. Notably, 75% of the included studies exhibited a moderate to high risk of bias. The overutilization rate for pediatric and adult patients was 27% (95% CI: 5-50%) and 32% (95% CI: 21-44%), respectively. An alternative rate, focusing on low-risk pediatric patients, was 54% (95% CI: 20-89%). Overutilization rates showed no significant difference between teaching and non-teaching hospitals. Patients with mTBI from falls or assaults were less likely to receive non-indicated scans. There was no significant association between physician specialty or seniority and overuse, nor between patients' age or sex and the likelihood of receiving a non-indicated scan. Approximately one-third of head CT scans in mTBI cases are avoidable, underscoring the necessity for quality improvement programs to reduce unnecessary imaging and its associated burdens., (© 2024. The Author(s), under exclusive licence to American Society of Emergency Radiology (ASER).)
- Published
- 2024
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29. Role of CRISPR-Cas systems and anti-CRISPR proteins in bacterial antibiotic resistance.
- Author
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Kadkhoda H, Gholizadeh P, Samadi Kafil H, Ghotaslou R, Pirzadeh T, Ahangarzadeh Rezaee M, Nabizadeh E, Feizi H, and Aghazadeh M
- Abstract
The emergence and development of antibiotic resistance in bacteria is a serious threat to global public health. Antibiotic resistance genes (ARGs) are often located on mobile genetic elements (MGEs). They can be transferred among bacteria by horizontal gene transfer (HGT), leading to the spread of drug-resistant strains and antibiotic treatment failure. CRISPR (clustered regularly interspaced short palindromic repeats)-Cas (CRISPR-associated genes) is one of the many strategies bacteria have developed under long-term selection pressure to restrict the HGT. CRISPR-Cas systems exist in about half of bacterial genomes and play a significant role in limiting the spread of antibiotic resistance. On the other hand, bacteriophages and other MGEs encode a wide range of anti-CRISPR proteins (Acrs) to counteract the immunity of the CRISPR-Cas system. The Acrs could decrease the CRISPR-Cas system's activity against phages and facilitate the acquisition of ARGs and virulence traits for bacteria. This review aimed to assess the relationship between the CRISPR-Cas systems and Acrs with bacterial antibiotic resistance. We also highlighted the CRISPR technology and Acrs to control and prevent antibacterial resistance. The CRISPR-Cas system can target nucleic acid sequences with high accuracy and reliability; therefore, it has become a novel gene editing and gene therapy tool to prevent the spread of antibiotic resistance. CRISPR-based approaches may pave the way for developing smart antibiotics, which could eliminate multidrug-resistant (MDR) bacteria and distinguish between pathogenic and beneficial microorganisms. Additionally, the engineered anti-CRISPR gene-containing phages in combination with antibiotics could be used as a cutting-edge treatment approach to reduce antibiotic resistance., 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.)
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- 2024
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30. Insight into the cardioprotective effects of melatonin: shining a spotlight on intercellular Sirt signaling communication.
- Author
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Yaghoobi A, Rezaee M, Hedayati N, Keshavarzmotamed A, Khalilzad MA, Russel R, Asemi Z, Rajabi Moghadam H, and Mafi A
- Abstract
Cardiovascular diseases (CVDs) are the leading causes of death and illness worldwide. While there have been advancements in the treatment of CVDs using medication and medical procedures, these conventional methods have limited effectiveness in halting the progression of heart diseases to complete heart failure. However, in recent years, the hormone melatonin has shown promise as a protective agent for the heart. Melatonin, which is secreted by the pineal gland and regulates our sleep-wake cycle, plays a role in various biological processes including oxidative stress, mitochondrial function, and cell death. The Sirtuin (Sirt) family of proteins has gained attention for their involvement in many cellular functions related to heart health. It has been well established that melatonin activates the Sirt signaling pathways, leading to several beneficial effects on the heart. These include preserving mitochondrial function, reducing oxidative stress, decreasing inflammation, preventing cell death, and regulating autophagy in cardiac cells. Therefore, melatonin could play crucial roles in ameliorating various cardiovascular pathologies, such as sepsis, drug toxicity-induced myocardial injury, myocardial ischemia-reperfusion injury, hypertension, heart failure, and diabetic cardiomyopathy. These effects may be partly attributed to the modulation of different Sirt family members by melatonin. This review summarizes the existing body of literature highlighting the cardioprotective effects of melatonin, specifically the ones including modulation of Sirt signaling pathways. Also, we discuss the potential use of melatonin-Sirt interactions as a forthcoming therapeutic target for managing and preventing CVDs., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
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- 2024
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31. Democratizing FLASH Radiotherapy.
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Moreau M, Mao S, Ngwa U, Yasmin-Karim S, China D, Hooshangnejad H, Sforza D, Ding K, Li H, Rezaee M, Narang AK, and Ngwa W
- Subjects
- Humans, Radiotherapy Dosage, Dose Fractionation, Radiation, Radiotherapy methods, Tumor Microenvironment radiation effects, Neoplasms radiotherapy
- Abstract
FLASH radiotherapy (RT) is emerging as a potentially revolutionary advancement in cancer treatment, offering the potential to deliver RT at ultra-high dose rates (>40 Gy/s) while significantly reducing damage to healthy tissues. Democratizing FLASH RT by making this cutting-edge approach more accessible and affordable for healthcare systems worldwide would have a substantial impact in global health. Here, we review recent developments in FLASH RT and present perspective on further developments that could facilitate the democratizing of FLASH RT. These include upgrading and validating current technologies that can deliver and measure the FLASH radiation dose with high accuracy and precision, establishing a deeper mechanistic understanding of the FLASH effect, and optimizing dose delivery conditions and parameters for different types of tumors and normal tissues, such as the dose rate, dose fractionation, and beam quality for high efficacy. Furthermore, we examine the potential for democratizing FLASH radioimmunotherapy leveraging evidence that FLASH RT can make the tumor microenvironment more immunogenic, and parallel developments in nanomedicine or use of smart radiotherapy biomaterials for combining RT and immunotherapy. We conclude that the democratization of FLASH radiotherapy represents a major opportunity for concerted cross-disciplinary research collaborations with potential for tremendous impact in reducing radiotherapy disparities and extending the cancer moonshot globally., Competing Interests: Declaration of competing interest We have no conflicts of interest., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)
- Published
- 2024
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32. Cost-Effectiveness Analysis of Triptorelin, Goserelin, and Leuprolide in the Treatment of Patients With Metastatic Prostate Cancer: A Societal Perspective.
- Author
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Rezaee M, Karimzadeh I, Hashemi-Meshkini A, Zeighami S, Bazyar M, Lotfi F, and Keshavarz K
- Subjects
- Aged, Humans, Male, Middle Aged, Cost-Effectiveness Analysis, Iran, Markov Chains, Neoplasm Metastasis, Quality of Life, Antineoplastic Agents, Hormonal therapeutic use, Antineoplastic Agents, Hormonal economics, Goserelin therapeutic use, Goserelin economics, Goserelin administration & dosage, Leuprolide therapeutic use, Leuprolide economics, Leuprolide administration & dosage, Prostatic Neoplasms drug therapy, Prostatic Neoplasms economics, Quality-Adjusted Life Years, Triptorelin Pamoate therapeutic use, Triptorelin Pamoate economics, Triptorelin Pamoate administration & dosage
- Abstract
Objectives: Metastatic prostate cancer is the most common malignant cancer and the second leading cause of death due to various types of cancer among men after lung cancer. This study aimed to analyze the cost-effectiveness of triptorelin, goserelin, and leuprolide in the treatment of the patients with metastatic prostate cancer from the societal perspective in Iran in 2020., Methods: This is a cost-effectiveness study in which a 20-year Markov transition modeling was applied. In this study, local cost and quality-of-life data of each health state were gathered from cohort of patients. The TreeAge pro 2020 and Microsoft Excel 2016 software were used to simulate cost-effectiveness of each treatment in the long term. The one-way and probabilistic sensitivity analyses were also performed to measure robustness of the model outputs., Results: The findings indicated that the mean costs and utility gained over a 20-year horizon for goserelin, triptorelin, and leuprolide treatments were $ 13 539.13 and 6.365 quality-adjusted life-years (QALY), $ 18 124.75 and 6.658 QALY, and $ 26 006.92 and 6.856 QALY, respectively. Goserelin was considered as a superior treatment option, given the estimated incremental cost-effectiveness ratio. The one-way and probabilistic sensitivity analyses confirmed the robustness of the study outcomes., Conclusions: According to the results of the present study, goserelin was the most effective and cost-effective strategy versus 2 other options. It could be recommended to policy makers of the Iran healthcare system to prioritize it in clinical guidelines and reimbursement policies., Competing Interests: Author Disclosures Author disclosure forms can be accessed below in the Supplemental Material section., (Copyright © 2024 International Society for Health Economics and Outcomes Research. Published by Elsevier Inc. All rights reserved.)
- Published
- 2024
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33. Translation and validation of the Persian version of "The Psychosocial Impact of Assistive Devices Scale" in patients with neurological disorders.
- Author
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Saeed SS, Hejazi-Shirmard M, Akbarzadeh Baghban A, Jutai J, and Rezaee M
- Abstract
Neurological disorders are a heterogeneous group of central or peripheral nervous disorders of which the main symptoms include impaired walking and balance. One of the main interventions for neurological disorders is the use of assistive devices, and it is necessary to consider the psychosocial effects of these devices on users. The psychometric properties of the Persian version of the Psychosocial Impact of Assistive Devices Scale (PIADS) were evaluated in patients with neurological disorders. After translating the scale into Persian based on IQULA, face and content validity were determined. The divergent validity of the scale was examined through its relationship with the Orthotics and Prosthetics Users' Survey (OPUS). Reliability of the tool was evaluated using an internal consistency and test-retest method over two weeks with 50 patients with neurological disorders and a history of using assistive devices for at least six months. The face and content validity of the PIADS was confirmed. The ICC for all subscales was higher than 0.78, which indicates a good correlation. However, the divergent validity of the scale with the OPUS scale was not confirmed. The Persian version of PIADS is a valid and reliable measure for patients with neurological disorders in Iran.
- Published
- 2024
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34. Promotion of cardiac microtissue assembly within G-CSF-enriched collagen I-cardiogel hybrid hydrogel.
- Author
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Khodayari H, Khodayari S, Rezaee M, Rezaeiani S, Alipour Choshali M, Erfanian S, Muhammadnejad A, Nili F, Pourmehran Y, Pirjani R, Rajabi S, Aghdami N, Nebigil-Désaubry C, Wang K, Mahmoodzadeh H, and Pahlavan S
- Abstract
Tissue engineering as an interdisciplinary field of biomedical sciences has raised many hopes in the treatment of cardiovascular diseases as well as development of in vitro three-dimensional (3D) cardiac models. This study aimed to engineer a cardiac microtissue using a natural hybrid hydrogel enriched by granulocyte colony-stimulating factor (G-CSF), a bone marrow-derived growth factor. Cardiac ECM hydrogel (Cardiogel: CG) was mixed with collagen type I (ColI) to form the hybrid hydrogel, which was tested for mechanical and biological properties. Three cell types (cardiac progenitor cells, endothelial cells and cardiac fibroblasts) were co-cultured in the G-CSF-enriched hybrid hydrogel to form a 3D microtissue. ColI markedly improved the mechanical properties of CG in the hybrid form with a ratio of 1:1. The hybrid hydrogel demonstrated acceptable biocompatibility and improved retention of encapsulated human foreskin fibroblasts. Co-culture of three cell types in G-CSF enriched hybrid hydrogel, resulted in a faster 3D structure shaping and a well-cellularized microtissue with higher angiogenesis compared to growth factor-free hybrid hydrogel (control). Immunostaining confirmed the presence of CD31
+ tube-like structures as well as vimentin+ cardiac fibroblasts and cTNT+ human pluripotent stem cells-derived cardiomyocytes. Bioinformatics analysis of signaling pathways related to the G-CSF receptor in cardiovascular lineage cells, identified target molecules. The in silico -identified STAT3, as one of the major molecules involved in G-CSF signaling of cardiac tissue, was upregulated in G-CSF compared to control. The G-CSF-enriched hybrid hydrogel could be a promising candidate for cardiac tissue engineering, as it facilitates tissue formation and angiogenesis., (© The Author(s) 2024. Published by Oxford University Press.)- Published
- 2024
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35. Anxiety, a significant risk factor for coronary artery disease: what is the best index.
- Author
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Rezaee M, Darroudi H, Etemad L, Shad AN, Zardast Z, Kohansal H, Ghayour-Mobarhan M, Sadeghian F, Moohebati M, Esmaily H, Darroudi S, and Ferns GA
- Subjects
- Humans, Female, Male, Middle Aged, Iran epidemiology, Prospective Studies, Risk Factors, Adult, Anxiety Disorders epidemiology, Anxiety epidemiology, Aged, Prevalence, Psychiatric Status Rating Scales, Coronary Artery Disease epidemiology, Coronary Artery Disease psychology
- Abstract
Background: Coronary artery disease (CAD) is known as the leading cause of disability and death globally. Anxiety disorders are also recognized as common types of mental disorders that substantially impact global health. Iran ranks among the countries with a high incidence of CAD and anxiety disorders. Therefore, the present study aims to determine the potential association and epidemiological aspects of anxiety and CAD within the population of Mashhad, the second most popoulos city in Iran., Methods: The present study is based on extracted data from the Mashhad stroke and heart atherosclerotic disorder (MASHAD) study which is a 10-year prospective cohort study intended to assess the effects of various CAD risk factors among Mashhad city residents. Anxiety scores were assessed at the baseline using Beck Anxiety Inventory and individuals were classified based on the BAI 4-factor structure model which included autonomic, cognitive, panic, and neuromotor components. Accordingly, the association between baseline anxiety scores and the BAI four-factor model with the risk of CAD events was analyzed using SPSS software version 21., Results: Based on the results, 60.4% of the sample were female, and 5.6% were classified as having severe forms of anxiety. Moreover, severe anxiety was more prevalent in females. Results showed a 1.7% risk of CAD (p-value < 0.001) over 10 years with one unit increase in anxiety score. Based on the 4-factor model structure, we found that only panic disorder could significantly increase the risk of CAD by 1.1% over the 10-year follow-up (p-value < 0.001)., Conclusion: Anxiety symptoms, particularly panic disorder, are independently and significantly associated with an increased overall risk of developing CAD over a 10-year period. Therefore, further studies are warranted to investigate the mechanisms through which anxiety may cause CAD, as well as possible interventions to mitigate these processes., (© 2024. The Author(s).)
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- 2024
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36. TNIK Inhibition Sensitizes TNIK-Overexpressing Lung Squamous Cell Carcinoma to Radiotherapy.
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Nguyen T, Carrieri FA, Connis N, Lafargue A, Chang J, Chan A, Shetty AC, Song Y, Hoang T, Jagtap S, Chowdhury DD, Khan MA, Gabrielson KL, Rezaee M, Torres-Ayuso P, Brognard J, Hann CL, and Tran PT
- Abstract
Most patients with lung squamous cell carcinoma (LSCC) undergo chemotherapy, radiotherapy, and adjuvant immunotherapy for locally advanced disease. The efficacy of these treatments is still limited because of dose-limiting toxicity or locoregional recurrence. New combination approaches and targets such as actionable oncogenic drivers are needed to advance treatment options for patients with LSCC. Moreover, other options for chemotherapy-ineligible patients are limited. As such, there is a critical need for the development of selective and potent chemoradiosensitizers for locally advanced LSCC. In this study, we investigated inhibiting TRAF2- and NCK-interacting protein kinase (TNIK), which is amplified in 40% of patients with LSCC, as a strategy to sensitize LSCC tumors to chemotherapy and radiotherapy. Employing a range of human LSCC cell lines and the TNIK inhibitor NCB-0846, we investigated the potential of TNIK as a chemo- and radiosensitizing target with in vitro and in vivo preclinical models. The combination of NCB-0846 with cisplatin or etoposide was at best additive. Interestingly, pre-treating LSCC cells with NCB-0846 prior to ionizing radiation (IR) potentiated the cytotoxicity of IR in a TNIK-specific fashion. Characterization of the radiosensitization mechanism suggested that TNIK inhibition may impair the DNA damage response and promote mitotic catastrophe in irradiated cells. In a subcutaneous xenograft in vivo model, pretreatment with NCB-0846 significantly enhanced the efficacy of IR and caused elevated necrosis in TNIKhigh LK2 tumors but not TNIKlow KNS62 tumors. Overall, these results indicate that TNIK inhibition may be a promising strategy to increase the efficacy of radiotherapy in patients with LSCC with high TNIK expression., (©2024 The Authors; Published by the American Association for Cancer Research.)
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- 2024
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37. Prevalence of the CRISPR-cas system and its association with antibiotic resistance in clinical Klebsiella pneumoniae isolates.
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Kadkhoda H, Gholizadeh P, Ghotaslou R, Pirzadeh T, Ahangarzadeh Rezaee M, Nabizadeh E, Feizi H, Samadi Kafil H, and Aghazadeh M
- Subjects
- Humans, Microbial Sensitivity Tests, Drug Resistance, Bacterial genetics, Prevalence, Male, Female, Middle Aged, Klebsiella pneumoniae genetics, Klebsiella pneumoniae drug effects, CRISPR-Cas Systems, beta-Lactamases genetics, Klebsiella Infections microbiology, Klebsiella Infections epidemiology, Anti-Bacterial Agents pharmacology
- Abstract
Background and Objective(s): CRISPR-Cas is a prokaryotic adaptive immune system that protects bacteria and archaea against mobile genetic elements (MGEs) such as bacteriophages plasmids, and transposons. In this study, we aimed to assess the prevalence of the CRISPR-Cas systems and their association with antibiotic resistance in one of the most challenging bacterial pathogens, Klebsiella pneumoniae., Materials and Methods: A total of 105 K. pneumoniae isolates were collected from various clinical infections. Extended-spectrum β-lactamases (ESBLs) phenotypically were detected and the presence of ESBL, aminoglycoside-modifying enzymes (AME), and CRISPR-Cas system subtype genes were identified using PCR. Moreover, the diversity of the isolates was determined by enterobacterial repetitive intergenic consensus (ERIC)-PCR., Results: Phenotypically, 41.9% (44/105) of the isolates were found to be ESBL producers. A significant inverse correlation existed between the subtype I-E CRISPR-Cas system's presence and ESBL production in K. pneumoniae isolates. Additionally, the frequency of the ESBL genes bla
CTX-M1 (3%), blaCTX-M9 (12.1%), blaSHV (51.5%), and blaTEM (33.3%), as well as some AME genes such as aac(3)-Iva (21.2%) and ant(2'')-Ia (3%) was significantly lower in the isolates with the subtype I-E CRISPR-Cas system in comparison to CRISPR-negative isolates. There was a significant inverse correlation between the presence of ESBL and some AME genes with subtype I-E CRISPR-Cas system., Conclusion: The presence of the subtype I-E CRISPR-Cas system was correlated with the antibiotic-resistant gene (ARGs). The isolates with subtype I-E CRISPR-Cas system had a lower frequency of ESBL genes and some AME genes than CRISPR-negative isolates., (© 2024. The Author(s).)- Published
- 2024
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38. Structural, Electrical, and Optical Properties of Single-Walled Carbon Nanotubes Synthesized through Floating Catalyst Chemical Vapor Deposition.
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Dolafi Rezaee M, Dahal B, Watt J, Abrar M, Hodges DR, and Li W
- Abstract
Single-walled carbon nanotube (SWCNT) thin films were synthesized by using a floating catalyst chemical vapor deposition (FCCVD) method with a low flow rate (200 sccm) of mixed gases (Ar and H
2 ). SWCNT thin films with different thicknesses can be prepared by controlling the collection time of the SWCNTs on membrane filters. Transmission electron microscopy (TEM) showed that the SWCNTs formed bundles and that they had an average diameter of 1.46 nm. The Raman spectra of the SWCNT films suggested that the synthesized SWCNTs were very well crystallized. Although the electrical properties of SWCNTs have been widely studied so far, the Hall effect of SWCNTs has not been fully studied to explore the electrical characteristics of SWCNT thin films. In this research, Hall effect measurements have been performed to investigate the important electrical characteristics of SWCNTs, such as their carrier mobility, carrier density, Hall coefficient, conductivity, and sheet resistance. The samples with transmittance between 95 and 43% showed a high carrier density of 1021 -1023 cm-3 . The SWCNTs were also treated using Brønsted acids (HCl, HNO3 , H2 SO4 ) to enhance their electrical properties. After the acid treatments, the samples maintained their p-type nature. The carrier mobility and conductivity increased, and the sheet resistance decreased for all treated samples. The highest mobility of 1.5 cm2 /Vs was obtained with the sulfuric acid treatment at 80 °C, while the highest conductivity (30,720 S/m) and lowest sheet resistance (43 ohm/square) were achieved with the nitric acid treatment at room temperature. Different functional groups were identified in our synthesized SWCNTs before and after the acid treatments using Fourier-Transform Infrared Spectroscopy (FTIR).- Published
- 2024
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39. Biomimetic Scaffolds for Regeneration of Temporomandibular Joint Disc: A Narrative Review.
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Rezazadeh H, Samiraninezhad N, and Rezaee M
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Defects and dysfunctions of temporomandibular joint (TMJ) disc are responsible for the majority of TMJ diseases. Current treatments in this matter are usually short-term and only palliative, thus an alternative treatment that offers long-lasting repair is in great demand. In recent years great attempts have been made to prepare an ideal scaffold, which best resembles the native TMJ disc in characteristics such as mechanical, physical and biological properties. This narrative review focuses on developments of the recent ten years in fabrication of scaffolds using decellularized tissues, natural and synthetic biomaterials for regeneration of TMJ disc and compared their properties. PubMed and Google Scholar databases were searched using the following keywords ("TMJ" OR "temporomandibular joint" OR "TMD" OR "temporomandibular disease") AND ("scaffold" OR "hydrogels"). Randomized controlled trials, randomized clinical trials, case-controls, case reports, and animal studies were included. Comments, systematic reviews, meta-analyses, and non-English papers were excluded. The study concluded that hybrid scaffolds have exhibited favorable cell attachment and proliferation. Synthetic scaffolds have shown promise in providing better control over structural properties; however, additional processes are often required to provide biomimetic cell signaling. While there is still much to learn about the ideal scaffold for TMJ disc regeneration, both natural and synthetic scaffolds have shown promise in achieving the functional, structural, biological, and mechanical properties of a native TMJ disc., Competing Interests: The authors declare no conflict of interest., (Copyright: © Journal of Dentistry.)
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- 2024
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40. An epicutaneous therapeutic pollen-allergen extract delivery system in an allergic rhinitis mouse model: based on allergen loading on DC-specific aptamers conjugated nanogolds.
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Pordel S, Haghnavaz N, Rezaee M, Shobeiri SS, Ansari B, Dashti M, Moghadam M, Khorrami M, and Sankian M
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- Animals, Mice, Immunoglobulin E blood, Immunoglobulin E immunology, Desensitization, Immunologic methods, Female, Rhinitis, Allergic immunology, Rhinitis, Allergic therapy, Humans, Administration, Cutaneous, Antigens, Plant immunology, Antigens, Plant administration & dosage, Dendritic Cells immunology, Pollen immunology, Disease Models, Animal, Gold chemistry, Allergens immunology, Allergens administration & dosage, Mice, Inbred BALB C, Metal Nanoparticles chemistry, Metal Nanoparticles administration & dosage, Cytokines metabolism, Aptamers, Nucleotide administration & dosage
- Abstract
Background: Gold nanoparticles (GNPs) have previously been suggested as appropriate carriers for allergen-specific immunotherapy (AIT). In this study, we assessed efficacy of GNPs and dendritic cells (DC)-specific aptamer-modified GNPs (Apts-GNP) for epicutaneous immunotherapy (EPIT) in the case of pollen allergen extracts containing a variety of allergenic and non-allergenic components., Methods: BALB/c mice were sensitized to the total protein extract of Platanus orientalis pollen and epicutaneously treated in different groups either with free P. orientalis total pollen extract, naked GNPs, total extract loaded GNPs, and total extract loaded Apts-GNPs with and without skin-penetrating peptides (SPPs). Then, the specific IgE level (sIgE), total IgE concentration (tIgE) in the serum sample, IL-4, IL-17a, IFN-γ, and IL-10 cytokine concentrations in re-stimulated splenocytes with the total extract and mixture of recombinant allergens, nasopharyngeal lavage fluid (NALF) analysis, and histopathological analysis of lung tissue were evaluated., Results: This study indicated the total extract-loaded GNPs, especially Pla. ext (50 μg)-GNPs, significantly decreased sIgE, tIgE, IL-17a, and IL-4 concentrations, immune cells and eosinophils infiltration in NALF, and increased IL-10 and IFN-γ concentrations compared with the PBS-treated group. In addition, the histopathological analysis of lung tissue showed a significant decrease in allergic inflammation and histopathological damage. The DC-targeted group revealed the most significant improvement in allergic-related immune factors with no histopathological damage compared with the same dose without aptamer., Conclusion: Loading total protein extract on the GNPs and the Apt-modified GNPs could be an effective approach to improve EPIT efficacy in a pollen-induced allergic mouse model., (© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
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- 2024
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41. Factors Affecting Late Atrial Fibrillation and Its Association With Coronary Artery Bypass Outcomes.
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Jameie M, Rezaee M, Pashang M, Jalali A, Khalaji A, Behnoush AH, Fallahzadeh A, Sheikhy A, Masoudkabir F, Tafti HA, Momtahen S, Mansourian S, and Hosseini K
- Subjects
- Humans, Male, Female, Aged, Middle Aged, Retrospective Studies, Risk Factors, Recurrence, Coronary Artery Disease surgery, Coronary Artery Disease complications, Time Factors, Treatment Outcome, Follow-Up Studies, Atrial Fibrillation etiology, Atrial Fibrillation epidemiology, Coronary Artery Bypass adverse effects, Postoperative Complications epidemiology
- Abstract
Background: Although predictors and outcomes of postoperative atrial fibrillation (POAF) are well studied, evidence is lacking concerning postdischarge late/recurrent atrial fibrillation (AF). This study evaluated factors affecting late/recurrent AF and its association with coronary artery bypass grafting (CABG) outcomes in a real-world setting., Methods: From 2012 through 2016, 5175 patients were included. Independent factors associated with late/recurrent AF were identified in a competing risk setting. Cox proportional hazard regression was used to evaluate the association between late/recurrent AF and study outcomes, consisting of all-cause mortality, major adverse cardio-cerebrovascular events, acute coronary syndrome, cerebrovascular events, and heart failure admissions., Results: During a median follow-up of 60 months (quartile 1-quartile 3, 59.3-60.7 months), late/recurrent AF developed in 85 patients (1.64%). Independent factors associated with late/recurrent AF were age (subdistribution hazard ratio [sHR], 1.04; 95% CI, 1.02-1.07), left-ventricular ejection fraction (sHR, 0.97; 95% CI, 0.95-0.99), length of stay (sHR, 1.02; 95% CI, 1.01-1.04), and POAF (sHR, 4.02; 95% CI, 2.50-6.45). Late/recurrent AF was not significantly associated with all-cause mortality and major adverse cardio-cerebrovascular events at unadjusted or adjusted levels (adjusted hazard ratio, 0.80 [95% CI, 0.50-1.28] and 0.74 [95% CI, 0.48-1.13], respectively). Nevertheless, it significantly increased the unadjusted risk of cerebrovascular events (hazard ratio, 2.28; 95% CI, 01.07-4.87), which disappeared after adjustments., Conclusions: Patients with advanced age, a lower left-ventricular ejection fraction, and POAF are more likely to have late/recurrent clinical AF. Albeit counterintuitive, late/recurrent AF was not independently associated with worse midterm post-CABG outcomes. These observations need to be further elucidated in larger-scale studies and interpreted in the context of a developing country with limited resources for late AF surveillance., (Copyright © 2024 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)
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- 2024
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42. Translational Approach Using Advanced Therapy Medicinal Products for Huntington's Disease.
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Mousavi MA, Rezaee M, Pourhamzeh M, Salari M, Hossein-Khannazer N, Shpichka A, Nabavi SM, Timashev P, and Vosough M
- Abstract
Current therapeutic approaches for Huntington's disease (HD) focus on symptomatic treatment. Therefore, the unavailability of efficient disease-modifying medicines is a significant challenge. Regarding the molecular etiology, targeting the mutant gene or advanced translational steps could be considered promising strategies. The evidence in gene therapy suggests various molecular techniques, including knocking down mHTT expression using antisense oligonucleotides and small interfering RNAs and gene editing with zinc finger proteins and CRISPR-Cas9-based techniques. Several post-transcriptional and post-translational modifications have also been proposed. However, the efficacy and long-term side effects of these modalities have yet to be verified. Currently, cell therapy can be employed in combination with conventional treatment and could be used for HD in which the structural and functional restoration of degenerated neurons can occur. Several animal models have been established recently to develop cell-based therapies using renewable cell sources such as embryonic stem cells, induced pluripotent stem cells, mesenchymal stromal cells, and neural stem cells. These models face numerous challenges in translation into clinics. Nevertheless, investigations in Advanced Therapy Medicinal Products (ATMPs) open a promising window for HD research and their clinical application. In this study, the ATMPs entry pathway in HD management was highlighted, and their advantages and disadvantages were discussed., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)
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- 2024
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43. Comparing ANI-2x, ANI-1ccx neural networks, force field, and DFT methods for predicting conformational potential energy of organic molecules.
- Author
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Rezaee M, Ekrami S, and Hashemianzadeh SM
- Abstract
In this study, the conformational potential energy surfaces of Amylmetacresol, Benzocaine, Dopamine, Betazole, and Betahistine molecules were scanned and analyzed using the neural network architecture ANI-2 × and ANI-1ccx, the force field method OPLS, and density functional theory with the exchange-correlation functional B3LYP and the basis set 6-31G(d). The ANI-1ccx and ANI-2 × methods demonstrated the highest accuracy in predicting torsional energy profiles, effectively capturing the minimum and maximum values of these profiles. Conformational potential energy values calculated by B3LYP and the OPLS force field method differ from those calculated by ANI-1ccx and ANI-2x, which account for non-bonded intramolecular interactions, since the B3LYP functional and OPLS force field weakly consider van der Waals and other intramolecular forces in torsional energy profiles. For a more comprehensive analysis, electronic parameters such as dipole moment, HOMO, and LUMO energies for different torsional angles were calculated at two levels of theory, B3LYP/6-31G(d) and ωB97X/6-31G(d). These calculations confirmed that ANI predictions are more accurate than density functional theory calculations with B3LYP functional and OPLS force field for determining potential energy surfaces. This research successfully addressed the challenges in determining conformational potential energy levels and shows how machine learning and deep neural networks offer a more accurate, cost-effective, and rapid alternative for predicting torsional energy profiles., (© 2024. The Author(s).)
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- 2024
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44. Decoding common genetic alterations between Barrett's esophagus and esophageal adenocarcinoma: A bioinformatics analysis.
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Jalali P, Yaghoobi A, Rezaee M, Zabihi MR, Piroozkhah M, Aliyari S, and Salehi Z
- Abstract
Background: Esophageal adenocarcinoma (EAC) is a common cancer with a poor prognosis in advanced stages. Therefore, early EAC diagnosis and treatment have gained attention in recent decades. It has been found that various pathological changes, particularly Barrett's Esophagus (BE), can occur in the esophageal tissue before the development of EAC. In this study, we aimed to identify the molecular contributor in BE to EAC progression by detecting the essential regulatory genes that are differentially expressed in both BE and EAC., Materials and Methods: We conducted a comprehensive bioinformatics analysis to detect BE and EAC-associated genes. The common differentially expressed genes (DEGs) and common single nucleotide polymorphisms (SNPs) were detected using the GEO and DisGeNET databases, respectively. Then, hub genes and the top modules within the protein-protein interaction network were identified. Moreover, the co-expression network of the top module by the HIPPIE database was constructed. Additionally, the gene regulatory network was constructed based on miRNAs and circRNAs. Lastly, we inspected the DGIdb database for possible interacted drugs., Results: Our microarray dataset analysis identified 92 common DEGs between BE and EAC with significant enrichment in skin and epidermis development genes. The study also identified 22 common SNPs between BE and EAC. The top module of PPI network analysis included SCEL, KRT6A, SPRR1A, SPRR1B, SPRR3, PPL, SPRR2B, EVPL, and CSTA . We constructed a ceRNA network involving three specific mRNAs, 23 miRNAs, and 101 selected circRNAs. According to the results from the DGIdb database, TD101 was found to interact with the KRT6A gene., Conclusion: The present study provides novel potential candidate genes that may be involved in the molecular association between Esophageal adenocarcinoma and Barrett's Esophagus, resulting in developing the diagnostic tools and therapeutic targets to prevent progression of BE to EAC., 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.)
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- 2024
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45. Data-driven modeling using system dynamics simulation to provide relief in earthquake based on different scenarios.
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Ahmadi Choukolaei H, Jahangoshai Rezaee M, and Ghasemi P
- Subjects
- Models, Theoretical, Humans, Relief Work, Iran, Disaster Planning, Earthquakes
- Abstract
Effective relief reduces damages and protects people during natural disasters, such as earthquakes. This research proposes a data-driven model based on sustainability, taking into account the pre and post-crisis simultaneously. Real data was used to validate the model in various earthquake scenarios. The study addresses questions regarding the amount and allocation of relief goods during earthquakes. This research is carried out in two phases: simulation and modeling. The purpose of the simulation phase is to estimate the number of relief goods in different scenarios. Additionally, in the modeling phase, a data-based multi-objective model is presented, considering sustainability, to minimize the lack of relief goods, the number of untreated wounded, and supply chain costs. Using the dynamic simulation system, and after designing the structure of the earthquake effects on urban infrastructure, the actions and effects of the earthquake on vital arteries are investigated in different scenarios, and scenarios with a higher degree of risk are identified. The results showed that the highest and lowest demands for relief goods were related to the "Mosha-day fault" and "North Tehran-night fault" scenarios, respectively., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
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- 2024
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46. Non-coding RNAs in leukemia drug resistance: new perspectives on molecular mechanisms and signaling pathways.
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Rahmati A, Mafi A, Vakili O, Soleymani F, Alishahi Z, Yahyazadeh S, Gholinezhad Y, Rezaee M, Johnston TP, and Sahebkar A
- Subjects
- Humans, RNA, Untranslated genetics, Signal Transduction genetics, Drug Resistance, Neoplasms, Leukemia drug therapy, Leukemia genetics, MicroRNAs metabolism
- Abstract
Like almost all cancer types, timely diagnosis is needed for leukemias to be effectively cured. Drug efflux, attenuated drug uptake, altered drug metabolism, and epigenetic alterations are just several of the key mechanisms by which drug resistance develops. All of these mechanisms are orchestrated by up- and downregulators, in which non-coding RNAs (ncRNAs) do not encode specific proteins in most cases; albeit, some of them have been found to exhibit the potential for protein-coding. Notwithstanding, ncRNAs are chiefly known for their contribution to the regulation of physiological processes, as well as the pathological ones, such as cell proliferation, apoptosis, and immune responses. Specifically, in the case of leukemia chemo-resistance, ncRNAs have been recognized to be responsible for modulating the initiation and progression of drug resistance. Herein, we comprehensively reviewed the role of ncRNAs, specifically its effect on molecular mechanisms and signaling pathways, in the development of leukemia drug resistance., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
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- 2024
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47. UBE2C: A pan-cancer diagnostic and prognostic biomarker revealed through bioinformatics analysis.
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Jalali P, Samii A, Rezaee M, Shahmoradi A, Pashizeh F, and Salehi Z
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- Humans, Computational Biology methods, Prognosis, Protein Interaction Maps genetics, Biomarkers metabolism, Neoplasms diagnosis, Neoplasms genetics, Ubiquitin-Conjugating Enzymes genetics, Ubiquitin-Conjugating Enzymes metabolism
- Abstract
Background: The diverse and complex attributes of cancer have made it a daunting challenge to overcome globally and remains to endanger human life. Detection of critical cancer-related gene alterations in solid tumor samples better defines patient diagnosis and prognosis, and indicates what targeted therapies must be administered to improve cancer patients' outcome., Materials and Methods: To identify genes that have aberrant expression across different cancer types, differential expressed genes were detected within the TCGA datasets. Subsequently, the DEGs common to all pan cancers were determined. Furthermore, various methods were employed to gain genetic alterations, co-expression genes network and protein-protein interaction (PPI) network, pathway enrichment analysis of common genes. Finally, the gene regulatory network was constructed., Results: Intersectional analysis identified UBE2C as a common DEG between all 28 types of studied cancers. Upregulated UBE2C expression was significantly correlated with OS and DFS of 10 and 9 types of cancer patients. Also, UBE2C can be a diagnostic factor in CESC, CHOL, GBM, and UCS with AUC = 100% and diagnose 19 cancer types with AUC ≥90%. A ceRNA network constructed including UBE2C, 41 TFs, 10 shared miRNAs, and 21 circRNAs and 128 lncRNAs., Conclusion: In summary, UBE2C can be a theranostic gene, which may serve as a reliable biomarker in diagnosing cancers, improving treatment responses and increasing the overall survival of cancer patients and can be a promising gene to be target by cancer drugs in the future., (© 2024 The Authors. Cancer Reports published by Wiley Periodicals LLC.)
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- 2024
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48. Competitive adsorption of CO 2 , N 2 , and CH 4 in coal-derived asphaltenes, a computational study.
- Author
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Valadi FM, Pasandideh-Nadamani M, Rezaee M, Torrik A, Mirzaie M, and Torkian A
- Abstract
Greenhouse gases are major contributors to global warming, and their concentration is increasing due to the widespread use of fossil fuels. Coal bed methane (CBM) offers a potential solution to this issue. However, the gas adsorption mechanisms of CBM, particularly in the context of coal-derived asphaltenes, are not fully understood. This study provides a comprehensive theoretical investigation of the competitive adsorption of carbon dioxide (CO 2 ), methane (CH 4 ), and nitrogen (N 2 ) in the processes of CO 2 - and N 2 -enhanced coalbed methane recovery, with a focus on coal-derived asphaltenes functionalized with CH 4 , NH, O, and S groups. Using the Grand Canonical Monte Carlo (GCMC) simulation method and performing Molecular Dynamics (MD) simulations, we studied the adsorption process. To investigate the electronic effects and nature of the interactions, we performed density functional theory (DFT) calculations. The adsorption energy values and non-covalent interactions (NCI) for the adsorption of gases signify the physical adsorption (van der Waals interaction), with CO 2 exhibiting the highest (absolute) adsorption energy. The Monte Carlo results indicated that elevated temperatures led to a reduction in adsorption capacity. Coal-derived asphaltenes demonstrated greater selectivity for CO 2 compared to CH 4 and N 2 in competitive adsorption, especially at elevated temperatures. Our findings highlight the significant potential of our asphaltene model, not only in mitigating CO 2 greenhouse gas emissions but also in recovering CH 4 , which is a valuable resource., (© 2024. The Author(s).)
- Published
- 2024
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49. The Hydrogel Based Allergen-Coated Gold Nanoparticles for Topical Administration: A Possible Epicutaneous Immunotherapy in Pollen-Sensitized Mice?
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Pordel S, Rezaee M, Moghadam M, and Sankian M
- Subjects
- Mice, Animals, Gold, Hydrogels, Pollen, Desensitization, Immunologic methods, Administration, Topical, Immunoglobulin E, Plant Extracts, Allergens, Metal Nanoparticles
- Abstract
Background: The rapid uptake of antigens by antigen-presenting cells (APCs) and their migration to draining lymph nodes in the initial hours after antigen administration in epicutaneous allergen specific immunotherapy (EPIT) prompted us to investigate whether the topical administration of allergens without patch application could alleviate allergy in pollen-sensitized mice. We evaluated the immunotherapeutic effect of topically administering hydrogel-based Gold nanoparticles (AuNPs) loaded with a total extract of Platanus orientalis pollen (Pla. ext (50 μg)-AuNPs) on intact skin., Methods: Mice sensitized to P. orientalis pollen were divided into three groups and treated with Pla. ext (50 μg)-AuNPs: 1) patch with Pla. ext (50 μg)-AuNPs, 2) patch with Pla. ext (50 μg)-AuNPs in combination with hydrogel, and 3) topical application of Pla. ext (50 μg)-AuNPs in combination with hydrogel. The immunotherapeutic effects were evaluated by measuring serum specific and total IgE antibodies, total cell and eosinophil count in nasopharyngeal lavage fluid, cytokines in the supernatants of re-stimulated splenocytes by the total extract, and histological examination of lung and nasal mucosa., Results: Topical administration of Pla. ext (50 μg)-AuNPs, like patch-based administration, significantly downregulated specific and total IgE and IL-4 production, promoted secretion of IFN-γ and IL-10, markedly reduced the number of inflammatory cells, particularly eosinophils, in nasopharyngeal lavage fluid ( p < .05), and inhibited inflammation and pathological damage in lung and nasal mucosa., Conclusion: Our results suggest that topical administration of AuNPs loaded with P. orientalis total pollen extract on intact skin could be a potential application for EPIT in the P. orientalis pollen -sensitized mice.
- Published
- 2024
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50. TB and interstitial lung disease: a systematic review and meta-analysis.
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Rezaee M, Azizi N, Danaei B, Davari A, Nejadghaderi SA, Sarmastzadeh T, Rahmannia M, Khalili F, Shahidi-Bonjar AH, Centis R, D'Ambrosio L, Sotgiu G, Migliori GB, and Nasiri MJ
- Subjects
- Humans, Prevalence, Tuberculosis epidemiology, Lung Diseases, Interstitial epidemiology, Silicosis epidemiology, Idiopathic Pulmonary Fibrosis epidemiology
- Abstract
INTRODUCTION To determine the frequency of TB among patients with interstitial lung diseases (ILDs).METHODS We performed a comprehensive search in the PubMed/Medline, EMBASE and Scopus databases up to 1 August 2023 of studies reporting on the prevalence of TB among patients with ILDs.RESULTS Twelve studies comprising 3,817 patients with ILD were found: the pooled prevalence of TB among ILD patients was 11.0% (95% CI 5.4-21.0). In the subgroup analysis, the TB rate among patients with silicosis and idiopathic pulmonary fibrosis (IPF) was respectively 35.6% (95% CI 32.6-38.8) and 4.4% (95% CI 3.6-5.3) ( P = 0.00). The frequency of TB among ILD patients was higher in high TB burden countries than in low/intermediate-burden countries: 26.3%, 95% CI 17.7-37.3 vs. 4.9%, 95% CI 3.3-7.2; P = 0.00. .CONCLUSIONS This study shows the frequency of TB among ILD patients. The meta-analysis reveals a significantly increased prevalence of TB among ILD patients with silicosis compared to IPF, and among individuals in high TB burden countries than in those with low/intermediate burden. The study results can help physicians and policymakers make efficient decisions for prompt screening and anti-TB treatment initiation in ILD patients.- Published
- 2024
- Full Text
- View/download PDF
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