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8. Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021

Author

Ong, Kanyin Liane, Stafford, Lauryn K, McLaughlin, Susan A, Boyko, Edward J, Vollset, Stein Emil, Smith, Amanda E, Dalton, Bronte E, Duprey, Joe, Cruz, Jessica A, Hagins, Hailey, Lindstedt, Paulina A, Aali, Amirali, Abate, Yohannes Habtegiorgis, Abate, Melsew Dagne, Abbasian, Mohammadreza, Abbasi-Kangevari, Zeinab, Abbasi-Kangevari, Mohsen, Abd ElHafeez, Samar, Abd-Rabu, Rami, Abdulah, Deldar Morad, Abdullah, Abu Yousuf Md, Abedi, Vida, Abidi, Hassan, Aboagye, Richard Gyan, Abolhassani, Hassan, Abu-Gharbieh, Eman, Abu-Zaid, Ahmed, Adane, Tigist Demssew, Adane, Denberu Eshetie, Addo, Isaac Yeboah, Adegboye, Oyelola A, Adekanmbi, Victor, Adepoju, Abiola Victor, Adnani, Qorinah Estiningtyas Sakilah, Afolabi, Rotimi Felix, Agarwal, Gina, Aghdam, Zahra Babaei, Agudelo-Botero, Marcela, Aguilera Arriagada, Constanza Elizabeth, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahmad, Danish, Ahmad, Rizwan, Ahmad, Sajjad, Ahmad, Aqeel, Ahmadi, Ali, Ahmadi, Keivan, Ahmed, Ayman, Ahmed, Ali, Ahmed, Luai A, Ahmed, Syed Anees, Ajami, Marjan, Akinyemi, Rufus Olusola, Al Hamad, Hanadi, Al Hasan, Syed Mahfuz, AL-Ahdal, Tareq Mohammed Ali, Alalwan, Tariq A, Al-Aly, Ziyad, AlBataineh, Mohammad T, Alcalde-Rabanal, Jacqueline Elizabeth, Alemi, Sharifullah, Ali, Hassam, Alinia, Tahereh, Aljunid, Syed Mohamed, Almustanyir, Sami, Al-Raddadi, Rajaa M, Alvis-Guzman, Nelson, Amare, Firehiwot, Ameyaw, Edward Kwabena, Amiri, Sohrab, Amusa, Ganiyu Adeniyi, Andrei, Catalina Liliana, Anjana, Ranjit Mohan, Ansar, Adnan, Ansari, Golnoosh, Ansari-Moghaddam, Alireza, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Aravkin, Aleksandr Y, Areda, Demelash, Arifin, Hidayat, Arkew, Mesay, Armocida, Benedetta, Ärnlöv, Johan, Artamonov, Anton A, Arulappan, Judie, Aruleba, Raphael Taiwo, Arumugam, Ashokan, Aryan, Zahra, Asemu, Mulu Tiruneh, Asghari-Jafarabadi, Mohammad, Askari, Elaheh, Asmelash, Daniel, Astell-Burt, Thomas, Athar, Mohammad, Athari, Seyyed Shamsadin, Atout, Maha Moh'd Wahbi, Avila-Burgos, Leticia, Awaisu, Ahmed, Azadnajafabad, Sina, B, Darshan B, Babamohamadi, Hassan, Badar, Muhammad, Badawi, Alaa, Badiye, Ashish D, Baghcheghi, Nayereh, Bagheri, Nasser, Bagherieh, Sara, Bah, Sulaiman, Bahadory, Saeed, Bai, Ruhai, Baig, Atif Amin, Baltatu, Ovidiu Constantin, Baradaran, Hamid Reza, Barchitta, Martina, Bardhan, Mainak, Barengo, Noel C, Bärnighausen, Till Winfried, Barone, Mark Thomaz Ugliara, Barone-Adesi, Francesco, Barrow, Amadou, Bashiri, Hamideh, Basiru, Afisu, Basu, Sanjay, Basu, Saurav, Batiha, Abdul-Monim Mohammad, Batra, Kavita, Bayih, Mulat Tirfie, Bayileyegn, Nebiyou Simegnew, Behnoush, Amir Hossein, Bekele, Alehegn Bekele, Belete, Melaku Ashagrie, Belgaumi, Uzma Iqbal, Belo, Luis, Bennett, Derrick A, Bensenor, Isabela M, Berhe, Kidanemaryam, Berhie, Alemshet Yirga, Bhaskar, Sonu, Bhat, Ajay Nagesh, Bhatti, Jasvinder Singh, Bikbov, Boris, Bilal, Faiq, Bintoro, Bagas Suryo, Bitaraf, Saeid, Bitra, Veera R, Bjegovic-Mikanovic, Vesna, Bodolica, Virginia, Boloor, Archith, Brauer, Michael, Brazo-Sayavera, Javier, Brenner, Hermann, Butt, Zahid A, Calina, Daniela, Campos, Luciana Aparecida, Campos-Nonato, Ismael R, Cao, Yin, Cao, Chao, Car, Josip, Carvalho, Márcia, Castañeda-Orjuela, Carlos A, Catalá-López, Ferrán, Cerin, Ester, Chadwick, Joshua, Chandrasekar, Eeshwar K, Chanie, Gashaw Sisay, Charan, Jaykaran, Chattu, Vijay Kumar, Chauhan, Kirti, Cheema, Huzaifa Ahmad, Chekol Abebe, Endeshaw, Chen, Simiao, Cherbuin, Nicolas, Chichagi, Fatemeh, Chidambaram, Saravana Babu, Cho, William C S, Choudhari, Sonali Gajanan, Chowdhury, Rajiv, Chowdhury, Enayet Karim, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Chung, Sheng-Chia, Coberly, Kaleb, Columbus, Alyssa, Contreras, Daniela, Cousin, Ewerton, Criqui, Michael H, Cruz-Martins, Natália, Cuschieri, Sarah, Dabo, Bashir, Dadras, Omid, Dai, Xiaochen, Damasceno, Albertino Antonio Moura, Dandona, Rakhi, Dandona, Lalit, Das, Saswati, Dascalu, Ana Maria, Dash, Nihar Ranjan, Dashti, Mohsen, Dávila-Cervantes, Claudio Alberto, De la Cruz-Góngora, Vanessa, Debele, Gebiso Roba, Delpasand, Kourosh, Demisse, Fitsum Wolde, Demissie, Getu Debalkie, Deng, Xinlei, Denova-Gutiérrez, Edgar, Deo, Salil V, Dervišević, Emina, Desai, Hardik Dineshbhai, Desale, Aragaw Tesfaw, Dessie, Anteneh Mengist, Desta, Fikreab, Dewan, Syed Masudur Rahman, Dey, Sourav, Dhama, Kuldeep, Dhimal, Meghnath, Diao, Nancy, Diaz, Daniel, Dinu, Monica, Diress, Mengistie, Djalalinia, Shirin, Doan, Linh Phuong, Dongarwar, Deepa, dos Santos Figueiredo, Francisco Winter, Duncan, Bruce B, Dutta, Siddhartha, Dziedzic, Arkadiusz Marian, Edinur, Hisham Atan, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, Elgendy, Islam Y, Elhadi, Muhammed, El-Huneidi, Waseem, Elmeligy, Omar Abdelsadek Abdou, Elmonem, Mohamed A, Endeshaw, Destaw, Esayas, Hawi Leul, Eshetu, Habitu Birhan, Etaee, Farshid, Fadhil, Ibtihal, Fagbamigbe, Adeniyi Francis, Fahim, Ayesha, Falahi, Shahab, Faris, MoezAlIslam Ezzat Mahmoud, Farrokhpour, Hossein, Farzadfar, Farshad, Fatehizadeh, Ali, Fazli, Ghazal, Feng, Xiaoqi, Ferede, Tomas Y, Fischer, Florian, Flood, David, Forouhari, Ali, Foroumadi, Roham, Foroutan Koudehi, Masoumeh, Gaidhane, Abhay Motiramji, Gaihre, Santosh, Gaipov, Abduzhappar, Galali, Yaseen, Ganesan, Balasankar, Garcia-Gordillo, MA, Gautam, Rupesh K, Gebrehiwot, Mesfin, Gebrekidan, Kahsu Gebrekirstos, Gebremeskel, Teferi Gebru, Getacher, Lemma, Ghadirian, Fataneh, Ghamari, Seyyed-Hadi, Ghasemi Nour, Mohammad, Ghassemi, Fariba, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Gopalani, Sameer Vali, Guadie, Habtamu Alganeh, Guan, Shi-Yang, Gudayu, Temesgen Worku, Guimarães, Rafael Alves, Guled, Rashid Abdi, Gupta, Rajeev, Gupta, Kartik, Gupta, Veer Bala, Gupta, Vivek Kumar, Gyawali, Bishal, Haddadi, Rasool, Hadi, Najah R, Haile, Teklehaimanot Gereziher, Hajibeygi, Ramtin, Haj-Mirzaian, Arvin, Halwani, Rabih, Hamidi, Samer, Hankey, Graeme J, Hannan, Md Abdul, Haque, Shafiul, Harandi, Hamid, Harlianto, Netanja I, Hasan, S M Mahmudul, Hasan, Syed Shahzad, Hasani, Hamidreza, Hassanipour, Soheil, Hassen, Mohammed Bheser, Haubold, Johannes, Hayat, Khezar, Heidari, Golnaz, Heidari, Mohammad, Hessami, Kamran, Hiraike, Yuta, Holla, Ramesh, Hossain, Sahadat, Hossain, Md Shakhaoat, Hosseini, Mohammad-Salar, Hosseinzadeh, Mehdi, Hosseinzadeh, Hassan, Huang, Junjie, Huda, Md Nazmul, Hussain, Salman, Huynh, Hong-Han, Hwang, Bing-Fang, Ibitoye, Segun Emmanuel, Ikeda, Nayu, Ilic, Irena M, Ilic, Milena D, Inbaraj, Leeberk Raja, Iqbal, Afrin, Islam, Sheikh Mohammed Shariful, Islam, Rakibul M, Ismail, Nahlah Elkudssiah, Iso, Hiroyasu, Isola, Gaetano, Itumalla, Ramaiah, Iwagami, Masao, Iwu, Chidozie C D, Iyamu, Ihoghosa Osamuyi, Iyasu, Assefa N, Jacob, Louis, Jafarzadeh, Abdollah, Jahrami, Haitham, Jain, Rajesh, Jaja, Chinwe, Jamalpoor, Zahra, Jamshidi, Elham, Janakiraman, Balamurugan, Jayanna, Krishnamurthy, Jayapal, Sathish Kumar, Jayaram, Shubha, Jayawardena, Ranil, Jebai, Rime, Jeong, Wonjeong, Jin, Yinzi, Jokar, Mohammad, Jonas, Jost B, Joseph, Nitin, Joseph, Abel, Joshua, Charity Ehimwenma, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Kaambwa, Billingsley, Kabir, Ali, Kabthymer, Robel Hussen, Kadashetti, Vidya, Kahe, Farima, Kalhor, Rohollah, Kandel, Himal, Karanth, Shama D, Karaye, Ibraheem M, Karkhah, Samad, Katoto, Patrick DMC, Kaur, Navjot, Kazemian, Sina, Kebede, Sewnet Adem, Khader, Yousef Saleh, Khajuria, Himanshu, Khalaji, Amirmohammad, Khan, Moien AB, Khan, Maseer, Khan, Ajmal, Khanal, Saval, Khatatbeh, Moawiah Mohammad, Khater, Amir M, Khateri, Sorour, khorashadizadeh, Fatemeh, Khubchandani, Jagdish, Kibret, Biruk Getahun, Kim, Min Seo, Kimokoti, Ruth W, Kisa, Adnan, Kivimäki, Mika, Kolahi, Ali-Asghar, Komaki, Somayeh, Kompani, Farzad, Koohestani, Hamid Reza, Korzh, Oleksii, Kostev, Karel, Kothari, Nikhil, Koyanagi, Ai, Krishan, Kewal, Krishnamoorthy, Yuvaraj, Kuate Defo, Barthelemy, Kuddus, Mohammed, Kuddus, Md Abdul, Kumar, Rakesh, Kumar, Harish, Kundu, Satyajit, Kurniasari, Maria Dyah, Kuttikkattu, Ambily, La Vecchia, Carlo, Lallukka, Tea, Larijani, Bagher, Larsson, Anders O, Latief, Kamaluddin, Lawal, Basira Kankia, Le, Thao Thi Thu, Le, Trang Thi Bich, Lee, Shaun Wen Huey, Lee, Munjae, Lee, Wei-Chen, Lee, Paul H, Lee, Sang-woong, Lee, Seung Won, Legesse, Samson Mideksa, Lenzi, Jacopo, Li, Yongze, Li, Ming-Chieh, Lim, Stephen S, Lim, Lee-Ling, Liu, Xuefeng, Liu, Chaojie, Lo, Chun-Han, Lopes, Graciliana, Lorkowski, Stefan, Lozano, Rafael, Lucchetti, Giancarlo, Maghazachi, Azzam A, Mahasha, Phetole Walter, Mahjoub, Soleiman, Mahmoud, Mansour Adam, Mahmoudi, Razzagh, Mahmoudimanesh, Marzieh, Mai, Anh Tuan, Majeed, Azeem, Majma Sanaye, Pantea, Makris, Konstantinos Christos, Malhotra, Kashish, Malik, Ahmad Azam, Malik, Iram, Mallhi, Tauqeer Hussain, Malta, Deborah Carvalho, Mamun, Abdullah A, Mansouri, Borhan, Marateb, Hamid Reza, Mardi, Parham, Martini, Santi, Martorell, Miquel, Marzo, Roy Rillera, Masoudi, Reza, Masoudi, Sahar, Mathews, Elezebeth, Maugeri, Andrea, Mazzaglia, Giampiero, Mekonnen, Teferi, Meshkat, Mahboobeh, Mestrovic, Tomislav, Miao Jonasson, Junmei, Miazgowski, Tomasz, Michalek, Irmina Maria, Minh, Le Huu Nhat, Mini, GK, Miranda, J Jaime, Mirfakhraie, Reza, Mirrakhimov, Erkin M, Mirza-Aghazadeh-Attari, Mohammad, Misganaw, Awoke, Misgina, Kebede Haile, Mishra, Manish, Moazen, Babak, Mohamed, Nouh Saad, Mohammadi, Esmaeil, Mohammadi, Mohsen, Mohammadian-Hafshejani, Abdollah, Mohammadshahi, Marita, Mohseni, Alireza, Mojiri-forushani, Hoda, Mokdad, Ali H, Momtazmanesh, Sara, Monasta, Lorenzo, Moniruzzaman, Md, Mons, Ute, Montazeri, Fateme, Moodi Ghalibaf, AmirAli, Moradi, Yousef, Moradi, Maryam, Moradi Sarabi, Mostafa, Morovatdar, Negar, Morrison, Shane Douglas, Morze, Jakub, Mossialos, Elias, Mostafavi, Ebrahim, Mueller, Ulrich Otto, Mulita, Francesk, Mulita, Admir, Murillo-Zamora, Efrén, Musa, Kamarul Imran, Mwita, Julius C, Nagaraju, Shankar Prasad, Naghavi, Mohsen, Nainu, Firzan, Nair, Tapas Sadasivan, Najmuldeen, Hastyar Hama Rashid, Nangia, Vinay, Nargus, Shumaila, Naser, Abdallah Y, Nassereldine, Hasan, Natto, Zuhair S, Nauman, Javaid, Nayak, Biswa Prakash, Ndejjo, Rawlance, Negash, Hadush, Negoi, Ruxandra Irina, Nguyen, Hau Thi Hien, Nguyen, Dang H, Nguyen, Phat Tuan, Nguyen, Van Thanh, Nguyen, Hien Quang, Niazi, Robina Khan, Nigatu, Yeshambel T, Ningrum, Dina Nur Anggraini, Nizam, Muhammad A, Nnyanzi, Lawrence Achilles, Noreen, Mamoona, Noubiap, Jean Jacques, Nzoputam, Ogochukwu Janet, Nzoputam, Chimezie Igwegbe, Oancea, Bogdan, Odogwu, Nkechi Martina, Odukoya, Oluwakemi Ololade, Ojha, Vivek Anand, Okati-Aliabad, Hassan, Okekunle, Akinkunmi Paul, Okonji, Osaretin Christabel, Okwute, Patrick Godwin, Olufadewa, Isaac Iyinoluwa, Onwujekwe, Obinna E, Ordak, Michal, Ortiz, Alberto, Osuagwu, Uchechukwu Levi, Oulhaj, Abderrahim, Owolabi, Mayowa O, Padron-Monedero, Alicia, Padubidri, Jagadish Rao, Palladino, Raffaele, Panagiotakos, Demosthenes, Panda-Jonas, Songhomitra, Pandey, Ashok, Pandey, Anamika, Pandi-Perumal, Seithikurippu R, Pantea Stoian, Anca Mihaela, Pardhan, Shahina, Parekh, Tarang, Parekh, Utsav, Pasovic, Maja, Patel, Jay, Patel, Jenil R, Paudel, Uttam, Pepito, Veincent Christian Filipino, Pereira, Marcos, Perico, Norberto, Perna, Simone, Petcu, Ionela-Roxana, Petermann-Rocha, Fanny Emily, Podder, Vivek, Postma, Maarten J, Pourali, Ghazaleh, Pourtaheri, Naeimeh, Prates, Elton Junio Sady, Qadir, Mirza Muhammad Fahd, Qattea, Ibrahim, Raee, Pourya, Rafique, Ibrar, Rahimi, Mehran, Rahimifard, Mahban, Rahimi-Movaghar, Vafa, Rahman, Md Obaidur, Rahman, Muhammad Aziz, Rahman, Mohammad Hifz Ur, Rahman, Mosiur, Rahman, Md Mosfequr, Rahmani, Mohamed, Rahmani, Shayan, Rahmanian, Vahid, Rahmawaty, Setyaningrum, Rahnavard, Niloufar, Rajbhandari, Bibek, Ram, Pradhum, Ramazanu, Sheena, Rana, Juwel, Rancic, Nemanja, Ranjha, Muhammad Modassar Ali Nawaz, Rao, Chythra R, Rapaka, Deepthi, Rasali, Drona Prakash, Rashedi, Sina, Rashedi, Vahid, Rashid, Ahmed Mustafa, Rashidi, Mohammad-Mahdi, Ratan, Zubair Ahmed, Rawaf, Salman, Rawal, Lal, Redwan, Elrashdy Moustafa Mohamed, Remuzzi, Giuseppe, Rengasamy, Kannan RR, Renzaho, Andre M N, Reyes, Luis Felipe, Rezaei, Nima, Rezaei, Nazila, Rezaeian, Mohsen, Rezazadeh, Hossein, Riahi, Seyed Mohammad, Rias, Yohanes Andy, Riaz, Muhammad, Ribeiro, Daniela, Rodrigues, Mónica, Rodriguez, Jefferson Antonio Buendia, Roever, Leonardo, Rohloff, Peter, Roshandel, Gholamreza, Roustazadeh, Abazar, Rwegerera, Godfrey M, Saad, Aly M A, Saber-Ayad, Maha Mohamed, Sabour, Siamak, Sabzmakan, Leila, Saddik, Basema, Sadeghi, Erfan, Saeed, Umar, Saeedi Moghaddam, Sahar, Safi, Sare, Safi, Sher Zaman, Saghazadeh, Amene, Saheb Sharif-Askari, Narjes, Saheb Sharif-Askari, Fatemeh, Sahebkar, Amirhossein, Sahoo, Soumya Swaroop, Sahoo, Harihar, Saif-Ur-Rahman, KM, Sajid, Mirza Rizwan, Salahi, Sarvenaz, Salahi, Saina, Saleh, Mohamed A, Salehi, Mohammad Amin, Salomon, Joshua A, Sanabria, Juan, Sanjeev, Rama Krishna, Sanmarchi, Francesco, Santric-Milicevic, Milena M, Sarasmita, Made Ary, Sargazi, Saman, Sathian, Brijesh, Sathish, Thirunavukkarasu, Sawhney, Monika, Schlaich, Markus P, Schmidt, Maria Inês, Schuermans, Art, Seidu, Abdul-Aziz, Senthil Kumar, Nachimuthu, Sepanlou, Sadaf G, Sethi, Yashendra, Seylani, Allen, Shabany, Maryam, Shafaghat, Tahereh, Shafeghat, Melika, Shafie, Mahan, Shah, Nilay S, Shahid, Samiah, Shaikh, Masood Ali, Shanawaz, Mohd, Shannawaz, Mohammed, Sharfaei, Sadaf, Shashamo, Bereket Beyene, Shiri, Rahman, Shittu, Aminu, Shivakumar, K M, Shivalli, Siddharudha, Shobeiri, Parnian, Shokri, Fereshteh, Shuval, Kerem, Sibhat, Migbar Mekonnen, Silva, Luís Manuel Lopes Rodrigues, Simpson, Colin R, Singh, Jasvinder A, Singh, Paramdeep, Singh, Surjit, Siraj, Md Shahjahan, Skryabina, Anna Aleksandrovna, Sohag, Abdullah Al Mamun, Soleimani, Hamidreza, Solikhah, Solikhah, Soltani-Zangbar, Mohammad Sadegh, Somayaji, Ranjani, Sorensen, Reed J D, Starodubova, Antonina V, Sujata, Sujata, Suleman, Muhammad, Sun, Jing, Sundström, Johan, Tabarés-Seisdedos, Rafael, Tabatabaei, Seyyed Mohammad, Tabatabaeizadeh, Seyed-Amir, Tabish, Mohammad, Taheri, Majid, Taheri, Ensiyeh, Taki, Elahe, Tamuzi, Jacques JL Lukenze, Tan, Ker-Kan, Tat, Nathan Y, Taye, Birhan Tsegaw, Temesgen, Worku Animaw, Temsah, Mohamad-Hani, Tesler, Riki, Thangaraju, Pugazhenthan, Thankappan, Kavumpurathu Raman, Thapa, Rajshree, Tharwat, Samar, Thomas, Nihal, Ticoalu, Jansje Henny Vera, Tiyuri, Amir, Tonelli, Marcello, Tovani-Palone, Marcos Roberto, Trico, Domenico, Trihandini, Indang, Tripathy, Jaya Prasad, Tromans, Samuel Joseph, Tsegay, Guesh Mebrahtom, Tualeka, Abdul Rohim, Tufa, Derara Girma, Tyrovolas, Stefanos, Ullah, Sana, Upadhyay, Era, Vahabi, Seyed Mohammad, Vaithinathan, Asokan Govindaraj, Valizadeh, Rohollah, van Daalen, Kim Robin, Vart, Priya, Varthya, Shoban Babu, Vasankari, Tommi Juhani, Vaziri, Siavash, Verma, Madhur verma, Verras, Georgios-Ioannis, Vo, Danh Cao, Wagaye, Birhanu, Waheed, Yasir, Wang, Ziyue, Wang, Yanqing, Wang, Cong, Wang, Fang, Wassie, Gizachew Tadesse, Wei, Melissa Y Wei, Weldemariam, Abrha Hailay, Westerman, Ronny, Wickramasinghe, Nuwan Darshana, Wu, YiFan, Wulandari, Ratna DWI, Xia, Juan, Xiao, Hong, Xu, Suowen, Xu, Xiaoyue, Yada, Dereje Y, Yang, Lin, Yatsuya, Hiroshi, Yesiltepe, Metin, Yi, Siyan, Yohannis, Hunachew Kibret, Yonemoto, Naohiro, You, Yuyi, Zaman, Sojib Bin, Zamora, Nelson, Zare, Iman, Zarea, Kourosh, Zarrintan, Armin, Zastrozhin, Mikhail Sergeevich, Zeru, Naod Gebrekrstos, Zhang, Zhi-Jiang, Zhong, Chenwen, Zhou, Jingjing, Zielińska, Magdalena, Zikarg, Yossef Teshome, Zodpey, Sanjay, Zoladl, Mohammad, Zou, Zhiyong, Zumla, Alimuddin, Zuniga, Yves Miel H, Magliano, Dianna J, Murray, Christopher J L, Hay, Simon I, and Vos, Theo

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2023
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11. Population-level risks of alcohol consumption by amount, geography, age, sex, and year: a systematic analysis for the Global Burden of Disease Study 2020

Author

Bryazka, Dana, Reitsma, Marissa B, Griswold, Max G, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abdoli, Amir, Abdollahi, Mohammad, Abdullah, Abu Yousuf Md, Abhilash, E S, Abu-Gharbieh, Eman, Acuna, Juan Manuel, Addolorato, Giovanni, Adebayo, Oladimeji M, Adekanmbi, Victor, Adhikari, Kishor, Adhikari, Sangeet, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Saira, Agegnehu, Wubetu Yimam, Aggarwal, Manik, Ahinkorah, Bright Opoku, Ahmad, Araz Ramazan, Ahmad, Sajjad, Ahmad, Tauseef, Ahmadi, Ali, Ahmadi, Sepideh, Ahmed, Haroon, Ahmed Rashid, Tarik, Akunna, Chisom Joyqueenet, Al Hamad, Hanadi, Alam, Md Zakiul, Alem, Dejene Tsegaye, Alene, Kefyalew Addis, Alimohamadi, Yousef, Alizadeh, Atiyeh, Allel, Kasim, Alonso, Jordi, Alvand, Saba, Alvis-Guzman, Nelson, Amare, Firehiwot, Ameyaw, Edward Kwabena, Amiri, Sohrab, Ancuceanu, Robert, Anderson, Jason A, Andrei, Catalina Liliana, Andrei, Tudorel, Arabloo, Jalal, Arshad, Muhammad, Artamonov, Anton A, Aryan, Zahra, Asaad, Malke, Asemahagn, Mulusew A, Astell-Burt, Thomas, Athari, Seyyed Shamsadin, Atnafu, Desta Debalkie, Atorkey, Prince, Atreya, Alok, Ausloos, Floriane, Ausloos, Marcel, Ayano, Getinet, Ayanore, Martin Amogre ayanore, Ayinde, Olatunde O, Ayuso-Mateos, Jose L, Azadnajafabad, Sina, Azanaw, Melkalem Mamuye, Azangou-Khyavy, Mohammadreza, Azari Jafari, Amirhossein, Azzam, Ahmed Y, Badiye, Ashish D, Bagheri, Nasser, Bagherieh, Sara, Bairwa, Mohan, Bakkannavar, Shankar M, Bakshi, Ravleen Kaur, Balchut/Bilchut, Awraris Hailu, Bärnighausen, Till Winfried, Barra, Fabio, Barrow, Amadou, Baskaran, Pritish, Belo, Luis, Bennett, Derrick A, Benseñor, Isabela M, Bhagavathula, Akshaya Srikanth, Bhala, Neeraj, Bhalla, Ashish, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhaskar, Sonu, Bhattacharyya, Krittika, Bhojaraja, Vijayalakshmi S, Bintoro, Bagas Suryo, Blokhina, Elena A Elena, Bodicha, Belay Boda Abule, Boloor, Archith, Bosetti, Cristina, Braithwaite, Dejana, Brenner, Hermann, Briko, Nikolay Ivanovich, Brunoni, Andre R, Butt, Zahid A, Cao, Chao, Cao, Yin, Cárdenas, Rosario, Carvalho, Andre F, Carvalho, Márcia, Castaldelli-Maia, Joao Mauricio, Castelpietra, Giulio, Castro-de-Araujo, Luis F S, Cattaruzza, Maria Sofia, Chakraborty, Promit Ananyo, Charan, Jaykaran, Chattu, Vijay Kumar, Chaurasia, Akhilanand, Cherbuin, Nicolas, Chu, Dinh-Toi, Chudal, Nandita, Chung, Sheng-Chia, Churko, Chuchu, Ciobanu, Liliana G, Cirillo, Massimo, Claro, Rafael M, Costanzo, Simona, Cowden, Richard G, Criqui, Michael H, Cruz-Martins, Natália, Culbreth, Garland T, Dachew, Berihun Assefa, Dadras, Omid, Dai, Xiaochen, Damiani, Giovanni, Dandona, Lalit, Dandona, Rakhi, Daniel, Beniam Darge, Danielewicz, Anna, Darega Gela, Jiregna, Davletov, Kairat, de Araujo, Jacyra Azevedo Paiva, de Sá-Junior, Antonio Reis, Debela, Sisay Abebe, Dehghan, Azizallah, Demetriades, Andreas K, Derbew Molla, Meseret, Desai, Rupak, Desta, Abebaw Alemayehu, Dias da Silva, Diana, Diaz, Daniel, Digesa, Lankamo Ena, Diress, Mengistie, Dodangeh, Milad, Dongarwar, Deepa, Dorostkar, Fariba, Dsouza, Haneil Larson, Duko, Bereket, Duncan, Bruce B, Edvardsson, Kristina, Ekholuenetale, Michael, Elgar, Frank J, Elhadi, Muhammed, Elmonem, Mohamed A, Endries, Aman Yesuf, Eskandarieh, Sharareh, Etemadimanesh, Azin, Fagbamigbe, Adeniyi Francis, Fakhradiyev, Ildar Ravisovich, Farahmand, Fatemeh, Farinha, Carla Sofia e Sá, Faro, Andre, Farzadfar, Farshad, Fatehizadeh, Ali, Fauk, Nelsensius Klau, Feigin, Valery L, Feldman, Rachel, Feng, Xiaoqi, Fentaw, Zinabu, Ferrero, Simone, Ferro Desideri, Lorenzo, Filip, Irina, Fischer, Florian, Francis, Joel Msafiri, Franklin, Richard Charles, Gaal, Peter Andras, Gad, Mohamed M, Gallus, Silvano, Galvano, Fabio, Ganesan, Balasankar, Garg, Tushar, Gebrehiwot, Mesfin Gebrehiwot Damtew, Gebremeskel, Teferi Gebru, Gebremichael, Mathewos Alemu, Gemechu, Tadele Regasa, Getacher, Lemma, Getachew, Motuma Erena, Getachew Obsa, Abera, Getie, Asmare, Ghaderi, Amir, Ghafourifard, Mansour, Ghajar, Alireza, Ghamari, Seyyed-Hadi, Ghandour, Lilian A, Ghasemi Nour, Mohammad, Ghashghaee, Ahmad, Ghozy, Sherief, Glozah, Franklin N, Glushkova, Ekaterina Vladimirovna, Godos, Justyna, Goel, Amit, Goharinezhad, Salime, Golechha, Mahaveer, Goleij, Pouya, Golitaleb, Mohamad, Greaves, Felix, Grivna, Michal, Grosso, Giuseppe, Gudayu, Temesgen Worku, Gupta, Bhawna, Gupta, Rajeev, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Hafezi-Nejad, Nima, Haj-Mirzaian, Arvin, Hall, Brian J, Halwani, Rabih, Handiso, Tiilahun Beyene, Hankey, Graeme J, Hariri, Sanam, Haro, Josep Maria, Hasaballah, Ahmed I, Hassanian-Moghaddam, Hossein, Hay, Simon I, Hayat, Khezar, Heidari, Golnaz, Heidari, Mohammad, Hendrie, Delia, Herteliu, Claudiu, Heyi, Demisu Zenbaba, Hezam, Kamal, Hlongwa, Mbuzeleni Mbuzeleni, Holla, Ramesh, Hossain, Md Mahbub, Hossain, Sahadat, Hosseini, Seyed Kianoosh, hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hu, Guoqing, Huang, Junjie, Hussain, Salman, Ibitoye, Segun Emmanuel, Ilic, Irena M, Ilic, Milena D, Immurana, Mustapha, Irham, Lalu Muhammad, Islam, M Mofizul, Islam, Rakibul M, Islam, Sheikh Mohammed Shariful, Iso, Hiroyasu, Itumalla, Ramaiah, Iwagami, Masao, Jabbarinejad, Roxana, Jacob, Louis, Jakovljevic, Mihajlo, Jamalpoor, Zahra, Jamshidi, Elham, Jayapal, Sathish Kumar, Jayarajah, Umesh Umesh, Jayawardena, Ranil, Jebai, Rime, Jeddi, Seyed Ali, Jema, Alelign Tasew, Jha, Ravi Prakash, Jindal, Har Ashish, Jonas, Jost B, Joo, Tamas, Joseph, Nitin, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kabir, Ali, Kabthymer, Robel Hussen, Kamble, Bhushan Dattatray, Kandel, Himal, Kanno, Girum Gebremeskel, Kapoor, Neeti, Karaye, Ibraheem M, Karimi, Salah Eddin, Kassa, Bekalu Getnet, Kaur, Rimple Jeet, Kayode, Gbenga A, Keykhaei, Mohammad, Khajuria, Himanshu, Khalilov, Rovshan, Khan, Imteyaz A, Khan, Moien AB, Kim, Hanna, Kim, Jihee, Kim, Min Seo, Kimokoti, Ruth W, Kivimäki, Mika, Klymchuk, Vitalii, Knudsen, Ann Kristin Skrindo, Kolahi, Ali-Asghar, Korshunov, Vladimir Andreevich, Koyanagi, Ai, Krishan, Kewal, Krishnamoorthy, Yuvaraj, Kumar, G Anil, Kumar, Narinder, Kumar, Nithin, Lacey, Ben, Lallukka, Tea, Lasrado, Savita, Lau, Jerrald, Lee, Sang-woong, Lee, Wei-Chen, Lee, Yo Han, Lim, Lee-Ling, Lim, Stephen S, Lobo, Stany W, Lopukhov, Platon D, Lorkowski, Stefan, Lozano, Rafael, Lucchetti, Giancarlo, Madadizadeh, Farzan, Madureira-Carvalho, Áurea M, Mahjoub, Soleiman, Mahmoodpoor, Ata, Mahumud, Rashidul Alam, Makki, Alaa, Malekpour, Mohammad-Reza, Manjunatha, Narayana, Mansouri, Borhan, Mansournia, Mohammad Ali, Martinez-Raga, Jose, Martinez-Villa, Francisco A, Matzopoulos, Richard, Maulik, Pallab K, Mayeli, Mahsa, McGrath, John J, Meena, Jitendra Kumar, Mehrabi Nasab, Entezar, Menezes, Ritesh G, Mensink, Gert B M, Mentis, Alexios-Fotios A, Meretoja, Atte, Merga, Bedasa Taye, Mestrovic, Tomislav, Miao Jonasson, Junmei, Miazgowski, Bartosz, Micheletti Gomide Nogueira de Sá, Ana Carolina, Miller, Ted R, Mini, GK, Mirica, Andreea, Mirijello, Antonio, Mirmoeeni, Seyyedmohammadsadeq, Mirrakhimov, Erkin M, Misra, Sanjeev, Moazen, Babak, Mobarakabadi, Maryam, Moccia, Marcello, Mohammad, Yousef, Mohammadi, Esmaeil, Mohammadian-Hafshejani, Abdollah, Mohammed, Teroj Abdulrahman, Moka, Nagabhishek, Mokdad, Ali H, Momtazmanesh, Sara, Moradi, Yousef, Mostafavi, Ebrahim, Mubarik, Sumaira, Mullany, Erin C, Mulugeta, Beemnet Tekabe, Murillo-Zamora, Efrén, Murray, Christopher J L, Mwita, Julius C, Naghavi, Mohsen, Naimzada, Mukhammad David, Nangia, Vinay, Nayak, Biswa Prakash, Negoi, Ionut, Negoi, Ruxandra Irina, Nejadghaderi, Seyed Aria, Nepal, Samata, Neupane, Sudan Prasad Prasad, Neupane Kandel, Sandhya, Nigatu, Yeshambel T, Nowroozi, Ali, Nuruzzaman, Khan M, Nzoputam, Chimezie Igwegbe, Obamiro, Kehinde O, Ogbo, Felix Akpojene, Oguntade, Ayodipupo Sikiru, Okati-Aliabad, Hassan, Olakunde, Babayemi Oluwaseun, Oliveira, Gláucia Maria Moraes, Omar Bali, Ahmed, Omer, Emad, Ortega-Altamirano, Doris V, Otoiu, Adrian, Otstavnov, Stanislav S, Oumer, Bilcha, P A, Mahesh, Padron-Monedero, Alicia, Palladino, Raffaele, Pana, Adrian, Panda-Jonas, Songhomitra, Pandey, Anamika, Pandey, Ashok, Pardhan, Shahina, Parekh, Tarang, Park, Eun-Kee, Parry, Charles D H, Pashazadeh Kan, Fatemeh, Patel, Jay, Pati, Siddhartha, Patton, George C, Paudel, Uttam, Pawar, Shrikant, Peden, Amy E, Petcu, Ionela-Roxana, Phillips, Michael R, Pinheiro, Marina, Plotnikov, Evgenii, Pradhan, Pranil Man Singh, Prashant, Akila, Quan, Jianchao, Radfar, Amir, Rafiei, Alireza, Raghav, Pankaja Raghav, Rahimi-Movaghar, Vafa, Rahman, Azizur, Rahman, Md Mosfequr, Rahman, Mosiur, Rahmani, Amir Masoud, Rahmani, Shayan, Ranabhat, Chhabi Lal, Ranasinghe, Priyanga, Rao, Chythra R, Rasali, Drona Prakash, Rashidi, Mohammad-Mahdi, Ratan, Zubair Ahmed, Rawaf, David Laith, Rawaf, Salman, Rawal, Lal, Renzaho, Andre M N, Rezaei, Negar, Rezaei, Saeid, Rezaeian, Mohsen, Riahi, Seyed Mohammad, Romero-Rodríguez, Esperanza, Roth, Gregory A, Rwegerera, Godfrey M, Saddik, Basema, Sadeghi, Erfan, Sadeghian, Reihaneh, Saeed, Umar, Saeedi, Farhad, Sagar, Rajesh, Sahebkar, Amirhossein, Sahoo, Harihar, Sahraian, Mohammad Ali, Saif-Ur-Rahman, KM, Salahi, Sarvenaz, Salimzadeh, Hamideh, Samy, Abdallah M, Sanmarchi, Francesco, Santric-Milicevic, Milena M, Sarikhani, Yaser, Sathian, Brijesh, Saya, Ganesh Kumar, Sayyah, Mehdi, Schmidt, Maria Inês, Schutte, Aletta Elisabeth, Schwarzinger, Michaël, Schwebel, David C, Seidu, Abdul-Aziz, Senthil Kumar, Nachimuthu, SeyedAlinaghi, SeyedAhmad, Seylani, Allen, Sha, Feng, Shahin, Sarvenaz, Shahraki-Sanavi, Fariba, Shahrokhi, Shayan, Shaikh, Masood Ali, Shaker, Elaheh, Shakhmardanov, Murad Ziyaudinovich, Shams-Beyranvand, Mehran, Sheikhbahaei, Sara, Sheikhi, Rahim Ali, Shetty, Adithi, Shetty, Jeevan K, Shiferaw, Damtew Solomon, Shigematsu, Mika, Shiri, Rahman, Shirkoohi, Reza, Shivakumar, K M, Shivarov, Velizar, Shobeiri, Parnian, Shrestha, Roman, Sidemo, Negussie Boti, Sigfusdottir, Inga Dora, Silva, Diego Augusto Santos, Silva, Natacha Torres da, Singh, Jasvinder A, Singh, Surjit, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Sleet, David A, Solmi, Marco, SOLOMON, YONATAN, Song, Suhang, Song, Yimeng, Sorensen, Reed J D, Soshnikov, Sergey, Soyiri, Ireneous N, Stein, Dan J, Subba, Sonu Hangma, Szócska, Miklós, Tabarés-Seisdedos, Rafael, Tabuchi, Takahiro, Taheri, Majid, Tan, Ker-Kan, Tareke, Minale, Tarkang, Elvis Enowbeyang, Temesgen, Gebremaryam, Temesgen, Worku Animaw, Temsah, Mohamad-Hani, Thankappan, Kavumpurathu Raman, Thapar, Rekha, Thomas, Nikhil Kenny, Tiruneh, Chalachew, Todorovic, Jovana, Torrado, Marco, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Tran, Mai Thi Ngoc, Trias-Llimós, Sergi, Tripathy, Jaya Prasad, Vakilian, Alireza, Valizadeh, Rohollah, Varmaghani, Mehdi, Varthya, Shoban Babu, Vasankari, Tommi Juhani, Vos, Theo, Wagaye, Birhanu, Waheed, Yasir, Walde, Mandaras Tariku, Wang, Cong, Wang, Yanzhong, Wang, Yuan-Pang, Westerman, Ronny, Wickramasinghe, Nuwan Darshana, Wubetu, Abate Dargie, Xu, Suowen, Yamagishi, Kazumasa, Yang, Lin, Yesera, Gesila Endashaw E, Yigit, Arzu, Yiğit, Vahit, Yimaw, Ayenew Engida Ayenew Engida, Yon, Dong Keon, Yonemoto, Naohiro, Yu, Chuanhua, Zadey, Siddhesh, Zahir, Mazyar, Zare, Iman, Zastrozhin, Mikhail Sergeevich, Zastrozhina, Anasthasia, Zhang, Zhi-Jiang, Zhong, Chenwen, Zmaili, Mohammad, Zuniga, Yves Miel H, and Gakidou, Emmanuela

Published
2022
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13. An in situ forming gelatin-based hydrogel loaded with soluble amniotic membrane promotes full-thickness wound regeneration in rats.

Author

Azimi-Alamouty, Mohammad, Habibi, Mohammad amin, Sadrabadi, Amin Ebrahimi, and Jamalpoor, Zahra

Subjects
AMNION, HYDROGELS, MESENCHYMAL stem cells, WOUND healing, RATS
Abstract

Objective(s): Early effective treatment and appropriate coverage are vital for full-thickness wounds. Amnion membrane-derived products have recently emerged in tissue engineering. However, the optimal concentration, carrier for controlled release, and handling have remained challenges. This study aims to develop and optimize an in situ forming, amniotic-based hydrogel for wound healing. Materials and Methods: Here, a composite matrix was fabricated with gelatin hydrogel modified with methacrylate functional group conjugated (GelMA) and keratose (wt.1%), loaded with mesenchymal stem cells (MSCs, 1×105 cell/ml) and optimized soluble amniotic membrane (SAM, 0.5 mg/ml). The physicochemical properties of the final subject were evaluated in vitro and in vivo environments. Results: The results of the in vitro assay demonstrated that conjugation of the methacryloyl group with gelatin resulted in the formation of GelMA hydrogel (26.7±1.2 kPa) with higher mechanical stability. Modification of GelMA with a glycosaminoglycan sulfate (Keratose) increased controlled delivery of SAM (47.3% vs. 84.3%). Metabolic activity (93%) and proliferation (21.2 ± 1.5 µg/ml) of MSCs encapsulated in hydrogel improved by incorporation of SAM (0.5 mg/ml). Furthermore, the migration of fibroblasts was facilitated in the scratched assay by SAM (0.5 mg/ml)/MSCs (1×105 cell/ml) conditioned medium. The GelMA hydrogel groupes revealed regeneration of full-thickness skin defects in rats after 3 weeks due to the high angiogenesis (6.3 ± 0.3), cell migration, and epithelialization. Conclusion: The results indicated in situ forming and tunable GelMA hydrogels containing SAM and MSCs could be used as efficient substrates for full-thickness wound regeneration. [ABSTRACT FROM AUTHOR]

Published
2024
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19. Bifunctional tissue‐engineered composite construct for bone regeneration: The role of copper and fibrin.

Author

Bozorgi, Azam, Khazaei, Mozafar, Bozorgi, Maryam, Sabouri, Leila, Soleimani, Mansooreh, and Jamalpoor, Zahra

Subjects
FIBRIN, BONE regeneration, COPPER, STAINS & staining (Microscopy), HEMATOPOIESIS, MESENCHYMAL stem cells, CALVARIA
Abstract

Bifunctional tissue engineering constructs promoting osteogenesis and angiogenesis are essential for bone regeneration. Metal ion‐incorporated scaffolds and fibrin encapsulation attract much attention due to low cost, nontoxicity, and tunable control over ion and growth factor release. Herein, we investigated the effect of Cu.nHA/Cs/Gel scaffold and fibrin encapsulation on osteogenic and angiogenic differentiation of Wharton's jelly mesenchymal stem cells (WJMSCs) in vitro and in vivo. Cu‐laden scaffolds were synthesized using salt leaching/freeze drying and were characterized using standard techniques. WJMSCs were isolated from the human umbilical cord and characterized. WJMSCs with or without encapsulating in fibrin were seeded onto scaffolds, followed by differentiating into the osteogenic lineage for 7 and 21 days. Osteogenic and angiogenic differentiation were evaluated using real‐time polymerase chain reaction, western blot, and Alizarin red staining. Then, scaffolds were implanted into critical‐sized calvarial bone defects in rats and histological assessments were performed using hematoxylin/eosin, Masson's trichrome, and CD31 immunohistochemical staining at 4 and 12 weeks. The scaffolds had good physicochemical and biological characteristics suitable for cell attachment and growth. Cu and fibrin increased the expression of ALP, RUNX2, OCN, COLI, VEGF, and HIF1α in differentiated WJMSCs. Implanted scaffolds were also biocompatible and were integrated well with the host tissue. Increased collagen condensation, mineralization, and blood vessel formation were observed in Cu‐laden scaffolds. The fibrin‐encapsulated groups showed the highest collagen and cell densities, immune cell infiltration, and bone trabeculae. CD31‐positive cell population increased with fibrin encapsulation and seeding onto Cu‐laden scaffolds. Adding Cu to scaffolds and encapsulating cells in fibrin are promising methods that guide osteogenesis and angiogenesis cellular signaling, leading to better bone regeneration. [ABSTRACT FROM AUTHOR]

Published
2024
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22. Integrating Multi-Omics Analysis for Enhanced Diagnosis and Treatment of Glioblastoma: A Comprehensive Data-Driven Approach

Author

Behrooz, Amir Barzegar, Latifi-Navid, Hamid, da Silva Rosa, Simone C., Swiat, Maciej, Wiechec, Emilia, Vitorino, Carla, Vitorino, Rui, Jamalpoor, Zahra, Ghavami, Saeid, Behrooz, Amir Barzegar, Latifi-Navid, Hamid, da Silva Rosa, Simone C., Swiat, Maciej, Wiechec, Emilia, Vitorino, Carla, Vitorino, Rui, Jamalpoor, Zahra, and Ghavami, Saeid

Abstract

Simple Summary The most prevalent and lethal primary brain tumor, glioblastoma multiforme (GBM), exhibits fast growth and widespread invasion and has a poor prognosis. The recurrence and mortality rates of GBM patients are still significant due to the intricacy of their molecular process. Therefore, screening GBM biomarkers is urgently required to demonstrate the therapy impact and enhance the prognosis. The findings of this study revealed 11 genes (UBC, HDAC1, CTNNB1, TRIM28, CSNK2A1, RBBP4, TP53, APP, DAB1, PINK1, and RELN), five miRNAs (has-mir-221-3p, hsa-mir-30a-5p, hsa-mir-15a-5p, has-mir-130a-3p, and hsa-let-7b-5p), six metabolites (HDL, N6-acetyl-L-lysine, cholesterol, formate, N, N-dimethylglycine/xylose, and X2. piperidinone), and 15 distinct signaling pathways that are essential for the development of GBM disease. The top genes, miRNAs, and metabolite signatures identified in this study may be used to develop early diagnosis procedures and construct individualized therapeutic approaches to GBM. The most aggressive primary malignant brain tumor in adults is glioblastoma (GBM), which has poor overall survival (OS). There is a high relapse rate among patients with GBM despite maximally safe surgery, radiation therapy, temozolomide (TMZ), and aggressive treatment. Hence, there is an urgent and unmet clinical need for new approaches to managing GBM. The current study identified modules (MYC, EGFR, PIK3CA, SUZ12, and SPRK2) involved in GBM disease through the NeDRex plugin. Furthermore, hub genes were identified in a comprehensive interaction network containing 7560 proteins related to GBM disease and 3860 proteins associated with signaling pathways involved in GBM. By integrating the results of the analyses mentioned above and again performing centrality analysis, eleven key genes involved in GBM disease were identified. ProteomicsDB and Gliovis databases were used for determining the gene expression in normal and tumor brain tissue. The NetworkAnalyst and the

Published
2023
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23. SARS-Cov2-Induced Cytokine Storm and Schizophrenia, Could There be a Connection?

Author

Pashaki, Pejman Abbasi, Shirbandi, Kiarash, Ramezani, Sina, Rahim, Fakher, and Jamalpoor, Zahra

Subjects
Psychiatry and Mental health, Clinical Psychology, COVID-19, SARS-CoV-2, inflammation, schizophrenia, olfactory cells, Health (social science), fungi, Medicine (miscellaneous)
Abstract

Today, a new coronavirus (2019-nCoV, later named SARS-CoV-2) has become known as a pandemic with over 3,949,200 cases and 271,782 deaths. It has been considered that most of the deaths in infected patients stem from comorbidity conditions. Therefore, understanding at-risk populations are currently under the focus of investigations. This object has highly driven attention to put patients with a higher potential of death related to SARS-CoV2 infection at priority. For instance, this can happen in Schizophrenia owing to ambiguous immunology attributes, including elevated levels of pro-inflammatory cytokines and stress-related immune disability. Given that, the hyper-inflammatory responses are the significant cause of the pathophysiology of the SARS-CoV2-related mortality. Moreover, SARS-CoV2 can prompt the risk of developing Schizophrenia in the future. This review punctuates that prenatal/perinatal infection could be associated with increased Schizophrenia risk; on the flip side, the potential risk of ongoing medication can worsen mentally disabled patients, and healthy people are at risk.

Published
2022

29. Integrating Multi-Omics Analysis for Enhanced Diagnosis and Treatment of Glioblastoma: A Comprehensive Data-Driven Approach.

Author

Barzegar Behrooz, Amir, Latifi-Navid, Hamid, da Silva Rosa, Simone C., Swiat, Maciej, Wiechec, Emilia, Vitorino, Carla, Vitorino, Rui, Jamalpoor, Zahra, and Ghavami, Saeid

Subjects
GLIOMA treatment, METABOLOMICS, AUTOPHAGY, GLIOMAS, CANCER relapse, MICRORNA, PROTEOMICS, NUTRITIONAL genomics, CELLULAR signal transduction, MULTIOMICS, GENOMICS, RESEARCH funding, TEMOZOLOMIDE, GENE expression profiling, COMPUTER-aided diagnosis, TUMOR markers, PHENOTYPES, OVERALL survival, ADULTS
Abstract

Simple Summary: The most prevalent and lethal primary brain tumor, glioblastoma multiforme (GBM), exhibits fast growth and widespread invasion and has a poor prognosis. The recurrence and mortality rates of GBM patients are still significant due to the intricacy of their molecular process. Therefore, screening GBM biomarkers is urgently required to demonstrate the therapy impact and enhance the prognosis. The findings of this study revealed 11 genes (UBC, HDAC1, CTNNB1, TRIM28, CSNK2A1, RBBP4, TP53, APP, DAB1, PINK1, and RELN), five miRNAs (has-mir-221-3p, hsa-mir-30a-5p, hsa-mir-15a-5p, has-mir-130a-3p, and hsa-let-7b-5p), six metabolites (HDL, N6-acetyl-L-lysine, cholesterol, formate, N, N-dimethylglycine/xylose, and X2. piperidinone), and 15 distinct signaling pathways that are essential for the development of GBM disease. The top genes, miRNAs, and metabolite signatures identified in this study may be used to develop early diagnosis procedures and construct individualized therapeutic approaches to GBM. The most aggressive primary malignant brain tumor in adults is glioblastoma (GBM), which has poor overall survival (OS). There is a high relapse rate among patients with GBM despite maximally safe surgery, radiation therapy, temozolomide (TMZ), and aggressive treatment. Hence, there is an urgent and unmet clinical need for new approaches to managing GBM. The current study identified modules (MYC, EGFR, PIK3CA, SUZ12, and SPRK2) involved in GBM disease through the NeDRex plugin. Furthermore, hub genes were identified in a comprehensive interaction network containing 7560 proteins related to GBM disease and 3860 proteins associated with signaling pathways involved in GBM. By integrating the results of the analyses mentioned above and again performing centrality analysis, eleven key genes involved in GBM disease were identified. ProteomicsDB and Gliovis databases were used for determining the gene expression in normal and tumor brain tissue. The NetworkAnalyst and the mGWAS-Explorer tools identified miRNAs, SNPs, and metabolites associated with these 11 genes. Moreover, a literature review of recent studies revealed other lists of metabolites related to GBM disease. The enrichment analysis of identified genes, miRNAs, and metabolites associated with GBM disease was performed using ExpressAnalyst, miEAA, and MetaboAnalyst tools. Further investigation of metabolite roles in GBM was performed using pathway, joint pathway, and network analyses. The results of this study allowed us to identify 11 genes (UBC, HDAC1, CTNNB1, TRIM28, CSNK2A1, RBBP4, TP53, APP, DAB1, PINK1, and RELN), five miRNAs (hsa-mir-221-3p, hsa-mir-30a-5p, hsa-mir-15a-5p, hsa-mir-130a-3p, and hsa-let-7b-5p), six metabolites (HDL, N6-acetyl-L-lysine, cholesterol, formate, N, N-dimethylglycine/xylose, and X2. piperidinone) and 15 distinct signaling pathways that play an indispensable role in GBM disease development. The identified top genes, miRNAs, and metabolite signatures can be targeted to establish early diagnostic methods and plan personalized GBM treatment strategies. [ABSTRACT FROM AUTHOR]

Published
2023
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32. Shelterin Complex at Telomeres: Implications in Ageing

Author

Mir, Seyed Mostafa, Samavarchi Tehrani, Sadra, Goodarzi, Golnaz, Jamalpoor, Zahra, Asadi, Jahanbakhsh, Khelghati, Nafiseh, Qujeq, Durdi, and Maniati, Mahmood

Subjects
DNA Replication, Aging, Oxidative Stress, ageing, Telomere-Binding Proteins, sheltering complex, Humans, Review, Telomere, telomeres, Telomerase
Abstract

Different factors influence the development‎ and control of ageing. It is well known that progressive telomere shorting is one of the molecular mechanisms underlying ageing. The shelterin complex consists of six telomere-specific proteins which are involved in the protection of chromosome ends. More particularly, this vital complex protects the telomeres from degradation, prevents from activation of unwanted repair systems, regulates the activity of telomerase, and has a crucial role in cellular senescent and ageing-related pathologies. This review explores the organization and function of telomeric DNA along with the mechanism of telomeres during ageing, followed by a discussion of the critical role of shelterin components and their changes during ageing.

Published
2020

33. Chronic Exposure to Morphine Leads to a Reduced Affective Pain Response in the Presence of Hyperalgesia in an Animal Model of Empathy

Author

Nazeri-Rezaabad, Masoud, Jamalpoor, Zahra, Alemrajabi, Mohammad Sadegh, Nozari, Masoomeh, Razavinasab, Moazamehosadat, and Nezhadi, Akram

Subjects
Pain perception, Original Article, Empathy, Morphine dependence, Rats
Abstract

Background Empathy is the capability to represent the mental and emotional states of other subjects. Previous studies have demonstrated a possible correlation between morphine addiction and altered empathy response in morphine-addicted subjects. This study was performed to evaluate the effect of chronic morphine exposure as an animal model of morphine addiction on empathic changes in affective and sensory pain. Methods Adult male Wistar rats (3 months old) were used for the current study. Animals were grouped in cages of two (n = 8 for each group) and one animal was selected as the pain observer group. Pain observer animals received either saline or morphine (10 mg/kg, twice daily for 8 days). At ninth day, formalin [50 µg, 5%, subcutaneous (SC)] was injected into the hindpaw of the cagemate and placed inside the cage. Elevated plus maze (EPM) and open field test (OFT) were recruited to evaluate anxiety; hot plate and tail flick tests were used to assay sensory pain. Conditioned place aversion (CPA) was also measured as indicator of affective pain component. Findings Chronic morphine exposure led to a reduced level of anxiety in EPM and OFT assays. An opioid-induced hyperalgesia was observed in the sensory pain assays, while there was a reduced affective pain in the CPA paradigm in morphine-treated animals. Conclusion It might be plausible that chronic morphine exposure might alter empathy for pain through affective and not sensory pain pathways.

Published
2020

37. Shelterin complex at telomeres: Roles in cancers

Author

Khodadadi, Emad, primary, Mir, Seyed Mostafa, additional, Memar, Mohammad Yousef, additional, Sadeghi, Hossein, additional, Kashiri, Meysam, additional, Faeghiniya, Mehri, additional, Jamalpoor, Zahra, additional, and Sheikh Arabi, Mehdi, additional

Published
2021
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39. Fabrication, characterization, and optimization of a novel copper-incorporated chitosan/gelatin-based scaffold for bone tissue engineering applications.

Author

Bozorgi, Azam, Mozafari, Masoud, Khazaei, Mozafar, Soleimani, Mansooreh, and Jamalpoor, Zahra

Subjects
TISSUE scaffolds, TISSUE engineering, PRECIPITATION (Chemistry), CANCELLOUS bone, BIOMIMETIC materials, BIOACTIVE glasses, STRUCTURAL stability, COMPRESSIVE strength
Abstract

Introduction: Fabricating composite scaffolds with improved physicochemical properties as artificial microenvironments are of great interest in bone tissue engineering. Given advantageous properties of nano-hydroxyapatite/chitosan/gelatin (nHA/Cs/Gel) scaffolds, the present study aimed to synthesize a modified nHA/Cs/Gel biomimetic scaffold with improved features. Methods: Pure and copper (Cu)-substituted nHA was synthesized using the chemical precipitation method under controlled pH and temperature. Pure and Cu-substituted nHA/Cs/Gel scaffolds were fabricated by salt-leaching/freeze-drying method. Physicochemical characteristics of nanoparticles and scaffolds were explored using XRD, FTIR, FE-SEM/EDX, and ICP. Besides, scaffold mechanical strength, degradation, porosity, swelling, biomineralization, and cytocompatibility were assessed. Results: Pure and Cu-substituted nHA were synthesized and characterized with appropriate Cu substitution and improved physical properties. All scaffolds were highly porous (porosity > 98%) and Cu incorporation reduced porosity from 99.555 ± 0.394% to 98.69 ± 0.80% while enlarged the pore size to more than100 µm. Cu-substitution improved the scaffold mechanical strength and the best result was observed in nHA.Cu5%/Cs/Gel scaffolds by the compressive strength 88.869 ± 19.574 MPa. Furthermore, 3% and 5% Cu-substituted nHA enhanced the scaffold structural stability and supported osteoblast spread, adhesion, survival, mineralization, and proliferation. Moreover, long-term and sustainable Cu release from scaffolds was observed within 28 days. Conclusion: Cu-substituted nHA/Cs/Gel scaffolds mimic the porous structure and mechanical strength of cancellous bone, along with prolonged degradation and Cu release, osteoblast attachment, viability, calcium deposition, and proliferation. Taken together, our results indicate the upgraded properties of nHA.Cu5%/Cs/Gel scaffolds for future applications in bone tissue engineering. [ABSTRACT FROM AUTHOR]

Published
2022

43. Multiple functions of microfluidic platforms: Characterization and applications in tissue engineering and diagnosis of cancer

Author

Davaran, Soodabeh, primary, Sadeghinia, Mohammad, additional, Jamalpoor, Zahra, additional, Raeisdasteh Hokmabad, Vahideh, additional, Doosti‐Telgerd, Mehdi, additional, Karimian, Ansar, additional, Sadeghinia, Zahra, additional, Khalilifard, Javad, additional, keramt, Akram, additional, Moradikhah, Farzad, additional, and Sadeghinia, Ali, additional

Published
2020
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48. In Vitro Anti-cancer Activity of Adipose-Derived Mesenchymal Stem Cells Increased after Infection with Oncolytic Reovirus.

Author

Babaei, Abouzar, Baghi, Hossein Bannazadeh, Nezhadi, Akram, and Jamalpoor, Zahra

Subjects
MESENCHYMAL stem cells, GLIOBLASTOMA multiforme, POLYMERASE chain reaction, REOVIRUSES, CANCER cells
Abstract

Purpose: Reovirus type 3 Dearing (ReoT3D), a wild type oncolytic virus (OV) from the Reoviridae family, kills KRAS mutant cancer cells. However, the use of OVs has faced with some limitations such as immune responses, and delivery of OVs to the tumor sites in systemic therapy. To solve this, and also to increase the anti-cancer effects of these OVs, mesenchymal stem cells (MSCs) might be used as an effective vehicle for OVs delivery. In this study, we examined the anticancer effects of human adipose derived-MSCs (AD-MSCs) as a vehicle of ReoT3D against human glioblastoma cells. Methods: Here, AD-MSCs were characterized and toxicity of ReoT3D on them was determined by 3-(4, 5-dimethylthiazol-2-yl)-2, 5-diphenyltetrazolium bromide (MTT) assay. Then, capability of AD-MSCs for virus production was assessed by real-time polymerase chain reaction (PCR), and different in vitro anti-cancer experiments were applied for our anti-cancer purposes. Results: Our results from toxicity assay revealed that the isolated and provoked AD-MSCs were resistant to nontoxic concentration multiplicity of infection (MOI) >1 pfu/cells of ReoT3D. In addition, the results indicated that AD-MSCs were susceptible for virus life cycle complementation and were capable for production of virus progenies. Furthermore, our results showed that AD-MSCs had oncolysis effects and increased the anti-cancer effects of ReoT3D. Conclusion: AD-MSCs as a susceptible host for oncolytic reovirus could increase the anti-cancer activity of this OV against glioblastoma multiforme (GBM) cell line. [ABSTRACT FROM AUTHOR]

Published
2021
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50. Molecular dynamics simulation study of PEG-PCL nanoparticles for BCNU delivery to treat glioblastoma.

Author

Ramezani, Sina, Sabe, Samira Poulakchi, and Jamalpoor, Zahra

Subjects
MOLECULAR dynamics, NANOPARTICLES, GLIOBLASTOMA multiforme, SURGICAL excision, BRAIN tumors
Abstract

Glioblastoma, the most lethal form of brain cancer is characterized by rapid growth and invasion and poor survival of the patients. Despite advances in standard therapy, including surgical resection followed by radiation and chemotherapy, glioblastoma remains highly resistant to treatments. Thus, new approaches to design optimized therapies are needed. Poly(ethylene glycol)-poly(e-caprolactone) (PEG-PCL) copolymers are synthetic biomedical materials with high biocompatibility, biodegradability, long-circulating and enhanced drug accumulation at the site of action that are all suitable for longterm delivery. In this study, we carried out Molecular Dynamics simulation on PEG-PCL2 to investigate the ability of this nanoparticle as a drug carrier for BCNU. Simulation results indicated that PEG-PCL2 aggregated and formed stable nanoparticles with the average radius of gyration of 2 nm. Also, plots represented that BCNU penetrated deep into the micelles. In conclusion, observations confirmed that the PEG-PCL nanoparticles have the potentials to be used as BCNU delivery carriers. [ABSTRACT FROM AUTHOR]

Published
2019

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