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1,403 results on '"Hamid, Saeed"'

2. Ammonia is associated with liver-related complications and predicts mortality in acute-on-chronic liver failure patients

Author

Thanapirom, Kessarin, Treeprasertsuk, Sombat, Choudhury, Ashok, Verma, Nipun, Dhiman, Radha Krishan, Al Mahtab, Mamun, Devarbhavi, Harshad, Shukla, Akash, Hamid, Saeed Sadiq, Jafri, Wasim, Tan, Soek Siam, Lee, Guan H., Ghazinyan, Hasmik, Sood, Ajit, Kim, Dong Joon, Eapen, C. E., Tao, Han, Yuemin, Nan, Dokmeci, A. Kadir, Sahu, Manoj, Arora, Anil, Kumar, Ashish, Kumar, Ramesh, Prasad, V. G. Mohan, Shresta, Ananta, Sollano, Jose, Payawal, Diana Alcantara, Lau, George, and Sarin, Shiv Kumar

Published
2024
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3. APASL clinical practice guidelines on the management of acute kidney injury in acute-on-chronic liver failure

Author

Maiwall, Rakhi, Singh, Satender Pal, Angeli, Paolo, Moreau, Richard, Krag, Aleksander, Singh, Virender, Singal, Ashwani K., Tan, S. S., Puri, Puneet, Mahtab, Mamun, Lau, George, Ning, Qin, Sharma, Manoj Kumar, Rao, P. N., Kapoor, Dharmesh, Gupta, Subhash, Duseja, Ajay, Wadhawan, Manav, Jothimani, Dinesh, Saigal, Sanjiv, Taneja, Sunil, Shukla, Akash, Puri, Pankaj, Govil, Deepak, Pandey, Gaurav, Madan, Kaushal, Eapen, C. E., Benjamin, Jaya, Chowdhury, Ashok, Singh, Shweta, Salao, Vaishali, Yang, Jin Mo, Hamid, Saeed, Shalimar, Jasuja, Sanjiv, Kulkarni, Anand V., Niriella, Madund A., Tevethia, Harsh Vardhan, Arora, Vinod, Mathur, R. P., Roy, Akash, Jindal, Ankur, Saraf, Neeraj, Verma, Nipun, De, Arka, Choudhary, Narendra S., Mehtani, Rohit, Chand, Phool, Rudra, Omkar, and Sarin, Shiv Kumar

Published
2024
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4. Expert consensus on the diagnosis and treatment of end-stage liver disease complicated by infections

Author

Chen, Tao, Chen, Guang, Wang, Guiqiang, Treeprasertsuk, Sombat, Lesmana, Cosmas Rinaldi Adithya, Lin, Han-Chieh, Al-mahtab, Mamun, Chawla, Yogesh K., Tan, Soek-Siam, Kao, Jia-Horng, Yuen, Man-Fung, Lee, Guan-Huei, Alcantara-Payawal, Diana, Nakayama, Nobuaki, Abbas, Zaigham, Jafri, Wasim, Kim, Dong-Joon, Choudhury, Ashok, Mahiwall, Rakhi, Hou, Jinlin, Hamid, Saeed, Jia, Jidong, Bajaj, J. S., Wang, Fusheng, Sarin, Shiv K., and Ning, Qin

Published
2024
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5. Pharmacological investigations of newly synthesized oxazolones and imidazolones as COX-2 inhibitors

Author

Iqra Saleem Naz Babari, Muhammad Islam, Hamid Saeed, Humaira Nadeem, and Hassaan Anwer Rathore

Subjects
Oxazole, Imidazoles, COX-2 inhibitors, Carrageenan induced paw edema, Tissue antioxidant activity, H& E staining, Therapeutics. Pharmacology, RM1-950
Abstract

Oxazoles and Imidazoles are heterocyclic compounds with significant biological activities. The present study explores the pharmacological effects of some new oxazole and imidazole derivatives as potential COX-2 inhibitors. Docking studies of the compounds against targeted proteins COX-2 and TACE manifested good binding affinities for both the targets supporting their anti-inflammatory potential. Compounds (3F-A, 3F-B, N-A, N-B) were evaluated for in vivo anti-inflammatory effects by carrageenan-induced paw edema. Among all, compound N-A was found to be the most effective as it displayed most pronounced reduction in inflammation that was comparable to indomethacin. The in vivo tissue antioxidant activity was performed for estimation of the level of catalase, GSH, GST, and thiobarbituric acid in paw tissue. The results exhibited that targeted compounds improved the oxidative stress and restored the expression of enzymes. H &E staining revealed that aforesaid compounds displayed well-defined restoration of cellular damage. Compound NA exhibited maximum structural and functional preservation. Reduction in the expression of inflammatory markers was also analyzed by ELISA and maximum reduction in protein expression (COX-2 and TNF-a) was observed for compound N-B. Quantification of mRNA was done using PCR and a decrease in the expression of COX-2 mRNA level in treatment groups was depicted by all the new compounds but N-B showed maximum reduction in enzyme expression. All the results obtained from the present study have shown the significant anti-inflammatory potential of new compounds via the COX-2 inhibition pathway.

Published
2024
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6. SAT-129 Sub-optimal global public health policies and strategies to combat hepatocellular carcinoma

Author

Diaz, Luis Antonio, Norero, Blanca, Corsi, Oscar, Ayares, Gustavo, Idalsoaga, Francisco, García, Sergio, Vázquez, Valeria, Lacalle, Lucas, Lazo, Mariana, Ferreccio, Catterina, Mendizabal, Manuel, Piñero, Federico, Martinez, Edmundo, Ijeoma, Ifeorah, Louvet, Alexandre, Piano, Salvatore, Cortez-Pinto, Helena, Wong, Vincent Wai-Sun, Kulkarni, Anand, Cotter, Thomas, Brahmania, Mayur, roblero, Juan Pablo, Dirchwolf, Melisa, Pollarsky, Florencia, George, Jacob, Stauber, Rudolf E, Francque, Sven, Guerra, Patricia, Oliveira, Claudia, Araujo, Roberta, Álvares-da-Silva, Mario, Blaise, Nkegoum, Abraldes, Juan G, Zheng, Ming-Hua, Toro, Luis, Restrepo, Juan Carlos, Ramirez, Wagner, Grgurević, Ivica, Infante, Mirtha, Mbendi, Charles, Carrera, Enrique, Kassas, Mohamed El, Mahmoud, Abdelmajeed, Tesfaye, Yonas Gedamu, Tadesse, Sewale Anagaw, Akalu, Tiruwork Fekadu, Desalegn, Hailemichael, Allaire, Manon, Patrizia, Carrieri, Schattenberg, Jörn, Aguyire, Joan, Micah, Eileen Akonobea, Tachi, Kenneth, Cardona, Katherine Emilia Maldonado, Sanchez, Abel, Sánchez, Marco, Björnsson, Einar S, Iavarone, Massimo, Okamoto, Ryuichi, Some, Fatuma, Hellani, Mohammad Fadel, Gonzalez, Veronica Enith Prado, Chávez-Tapia, Norberto Carlos, Méndez-Sánchez, Nahum, Mucumbi, Sheila Constância Mabote, Ugiagbe, Rose Ashinedu, Akande, Kolawole, Nwoko, Chinenye, Ezenkwa, Uchenna Simon, Okoye, Ifeoma Joy, Hamid, Saeed Sadiq, Quezada, Julissa Lombardo, Girala, Marcos, Padilla, P Martin, Diaz-Ferrer, Javier, Tagle, Martin, Kukla, Michał, Odeghe, Emuobor, wemimo, Rasheed mumini, Reis, Daniela, Mozgovoi, Sergei, Ismail, Mona, Koller, Tomas, Spearman, Wendy, Elhassan, Moawia, Stal, Per, Pazi, Swaleh, Ocanit, Anthony, Masson, Steven, Dunn, Winston, Kamath, Patrick S, Singal, Ashwani, Debes, Jose, Reig, María, Loomba, Rohit, Bataller, Ramon, Lazarus, Jeffrey, Arrese, Marco, and Arab, Juan Pablo

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Public Health and Health Services, Gastroenterology & Hepatology, Clinical sciences
Published
2023

7. Levofloxacin loaded chitosan and poly-lactic-co-glycolic acid nano-particles against resistant bacteria: Synthesis, characterization and antibacterial activity

Author

Rabia Hayee, Mehwish Iqtedar, Norah A. Albekairi, Abdulrahman Alshammari, Mauhammad Atif Makhdoom, Muhammad Islam, Nadeem Ahmed, Muhammad Fawad Rasool, Chen Li, and Hamid Saeed

Subjects
Bacterial resistance, Levofloxacin, Nano-particles, Chitosan, PLGA, Infectious and parasitic diseases, RC109-216, Public aspects of medicine, RA1-1270
Abstract

Background: With the global increase in antibacterial resistance, the challenge faced by developing countries is to utilize the available antibiotics, alone or in combination, against resistant bacterial strains. We aimed to encapsulate the levofloxacin (LVX) into polymeric nanoparticles using biodegradable polymers i.e. Chitosan and PLGA, estimating their physicochemical characteristics followed by functional assessment as nanocarriers of levofloxacin against the different resistant strains of bacteria isolated from biological samples collected from tertiary care hospital in Lahore, Pakistan. Methods: LVX-NPs were synthesized using ion gelation and double emulsion solvent-evaporation method employing chitosan (CS) and poly-lactic-co-glycolic acid (PLGA), characterized via FTIR, XRD, SEM, and invitro drug release studies, while antibacterial activity was assessed using Kirby-Bauer disc-diffusion method. Results: Data revealed that the levofloxacin-loaded chitosan nanoparticles showed entrapment efficiency of 57.14% ± 0.03 (CS-I), 77.30% ± 0.08(CS-II) and 87.47% ± 0.08 (CS-III). The drug content, particle size, and polydispersity index of CS-I were 52.22% ± 0.2, 559 nm ± 31 nm, and 0.030, respectively, whereas it was 66.86% ± 0.17, 595 nm ± 52.3 nm and 0.057, respectively for CS-II and 82.65% ± 0.36, 758 nm ± 24 nm and 0.1, respectively for CS-III. The PLGA-levofloxacin nanoparticles showed an entrapment efficiency of 42.80% ± 0.4 (PLGA I) and 23.80% ± 0.4 (PLGA II). The drug content, particle size and polydispersity index of PLGA-I were 86% ± 0.21, 92 nm ± 10 nm, and 0.058, respectively, whereas it was 52.41% ± 0.45, 313 nm ± 32 nm and 0.076, respectively for PLGA-II. The XRD patterns of both polymeric nanoparticles showed an amorphous nature. SEM analysis reflects the circular-shaped agglomerated nanoparticles with PLGA polymer and dense spherical nanoparticles with chitosan polymer. The in-vitro release profile of PLGA-I nanoparticles showed a sustained release of 82% in 120 h and it was 58.40% for CS-III. Both types of polymeric nanoparticles were found to be stable for up to 6 months without losing any major drug content. Among the selected formulations, CS-III and PLGA-I, CS-III had better antibacterial potency against gram+ve and gram-ve bacteria, except for K. pneumonia, yet, PLGA-I demonstrated efficacy against K. pneumonia as per CSLI guidelines. All formulations did not exhibit any signs of hemotoxicity, nonetheless, the CS-NPs tend to bind on the surface of RBCs. Conclusion: These data suggested that available antibiotics can effectively be utilized as nano-antibiotics against resistant bacterial strains, causing severe infections, for improved antibiotic sensitivity without compromising patient safety.

Published
2024
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8. TransLSTM: A hybrid LSTM-Transformer model for fine-grained suggestion mining

Author

Samad Riaz, Amna Saghir, Muhammad Junaid Khan, Hassan Khan, Hamid Saeed Khan, and M. Jaleed Khan

Subjects
Suggestion mining, Long Short-Term Memory (LSTM) network, Switch transformer, Digital platforms, Computational linguistics. Natural language processing, P98-98.5
Abstract

Digital platforms on the internet are invaluable for collecting user feedback, suggestions, and opinions about various topics, such as company products and services. This data is instrumental in shaping business strategies, enhancing product development, and refining service delivery. Suggestion mining is a key task in natural language processing, which focuses on extracting and analysing suggestions from these digital sources. Initially, suggestion mining utilized manually crafted features, but recent advancements have highlighted the efficacy of deep learning models, which automatically learn features. Models like Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), and Bidirectional Encoder Representations from Transformers (BERT) have been employed in this field. However, considering the relatively small datasets and the faster training time of LSTM compared to BERT, we introduce TransLSTM, a novel LSTM-Transformer hybrid model for suggestion mining. This model aims to automatically pinpoint and extract suggestions by harnessing both local and global text dependencies. It combines the sequential dependency handling of LSTM with the contextual interaction capabilities of the Transformer, thus effectively identifying and extracting suggestions. We evaluated our method against state-of-the-art approaches using the SemEval Task-9 dataset, a benchmark for suggestion mining. Our model shows promising performance, surpassing existing deep learning methods by 6.76% with an F1 score of 0.834 for SubTask A and 0.881 for SubTask B. Additionally, our paper presents an exhaustive literature review on suggestion mining from digital platforms, covering both traditional and state-of-the-art text classification techniques.

Published
2024
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10. Parents’ behaviour toward antibiotic self-medication in children and incidence of resistance: a cross-sectional study from Punjab, Pakistan

Author

Furqan K. Hashmi, Muhammad Muneeb, Sanaullah Umair, Bisma Mushtaq, Hamid Saeed, Muhammad Islam, Faiz Abid, Yumna Abrar, Bisma Shahzadi, Ayaz Ali Khan, Qadeer Ahsan, Muhammad Fawad Rasool, Usman Rashid Malik, Saad Ahmed, Hassaan Anwer Rathore, and Zikria Saleem

Subjects
child, anti-bacterial agents, self medication, parents, behavior., Medicine
Published
2024
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11. Clinical Pharmacokinetics of Fexofenadine: A Systematic Review

Author

Maryam Batool, Ammara Zamir, Faleh Alqahtani, Tanveer Ahmad, Hamid Saeed, and Muhammad Fawad Rasool

Subjects
fexofenadine, second generation, pharmacokinetics, humans, systematic review, clearance, Pharmacy and materia medica, RS1-441
Abstract

Background/Objectives: Fexofenadine hydrochloride is a widely prescribed drug for treating histamine-mediated allergic reactions. This review systematically collates existing research on the clinical pharmacokinetics (PK) of fexofenadine, with a copious emphasis on examining the impact of stereoisomerism, disease states, and drug interactions. Methods: The search engines PubMed, Science Direct, Google Scholar, and Cochrane were scanned systematically for articles concerning the clinical PK of fexofenadine in humans. The extensive literature search yielded 85 articles meeting the inclusion standards. Results: The PK parameters of fexofenadine showed a linear correlation between increasing doses and proportional elevations in PK parameters such as area under the curve from time 0 to infinity (AUC0–∞) and maximum plasma concentration (Cmax). Under fed conditions, its bioavailability was reduced by approximately 50%. Findings from patients with end-stage renal disease (ESRD) displayed a 63% decline in oral clearance (CL/F) of fexofenadine. A drug–food interaction study has displayed that grapefruit juice decreased Cmax (201 ng/mL vs. 128 ng/mL), accompanied by a 30% reduction in the bioavailability of fexofenadine. Furthermore, a drug–herb interaction study with St John’s Wort (SJW) has reported a reduction in CL/F by 10% after a single dose, but long-term administration reversed this effect, resulting in elevated CL/F by 17% of fexofenadine. Conclusions: Since no prior systematic review on the PK of this drug exists, this review amalgamates all pertinent PK parameters in humans by pooling up-to-date data from published studies. This detailed literature review can be advantageous for researchers who want to develop and assess PK models.

Published
2024
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14. Bonemarrow Fibrosis Grade; A Useful Prognostic Marker in Myeloproliferative Neoplasms

Author

Muhammad Bilal Asghar, Hamid Saeed Malik, Nabila Rafique, Manzar Bozdar, Rafia Mahmood, and Intzar Ali

Subjects
Myeloproliferative neoplasm, Marrow fibrosis, Prognostic factor., Medicine, Medicine (General), R5-920
Abstract

Objective: To determine the prognostic significance of bone marrow fibrosis grade in predicting the outcome of myeloproliferative neoplasms. Study Design: Prospective longitudinal study. Duration and Place of Study: Armed Forces Institute of Pathology, Rawalpindi Pakistan, from Jun 2021 to May 2022. Methodology: A total of 114 patients with myeloproliferative neoplasms were included. Under aseptic conditions, a bone marrow aspiration and a Trephine biopsy were obtained. Following processing, the samples underwent staining with Hemotoxylin and Eosin and Reticulin. The WHO bone marrow fibrosis grading system was used to grade the fibrosis. Clinical findings and haematological parameters documented at initial diagnosis were compared with one-year interval follow-up counts. Results: Out of a total 114, 72(63.2%) were male and 42(36.8%) were female. Generalised weakness and pallor were documented in 51(44.7%) and 27(23.7%), respectively. While splenomegaly and/or hepatomegaly were detected in 61(53.5%) and 27(23.7%), respectively, 16(14.9%) transformed into other MPNs and 3(2.6%) into acute leukemia. People who had higher levels of MF-2 and MF-3 reticulin fibrosis had the worst prognosis when it came to peripheral blood cytopenias, disease progression, and transformation. Conclusion: Myeloproliferative neoplasms are very different from one another in terms of how they look and behave. As the grade of fibrosis rises, there is a high chance that the disease will progress to myelofibrosis or change into acute leukaemia, both of which are very bad for overall survival.

Published
2024
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16. The anticancer potential of chemical constituents of Moringa oleifera targeting CDK-2 inhibition in estrogen receptor positive breast cancer using in-silico and in vitro approches

Author

Rida Sultan, Abrar Ahmed, Li Wei, Hamid Saeed, Muhammad Islam, and Muhammad Ishaq

Subjects
CDK2, ER+ Breast cancer, Molecular Docking, MM-GBSA, Molecular Dynamic Simulations, MTT assay, Other systems of medicine, RZ201-999
Abstract

Abstract Most of the breast cancers are estrogen receptor-positive recurring with a steady rate of up to 20 years dysregulating the normal cell cycle. Dinaciclib is still in clinical trials and considered as a research drug against such cancers targeting CDK2. The major goal of this study was to identify the potential inhibitors of CDK-2 present in Moringa oleifera for treating hormonal receptor positive breast cancers. For this purpose, in silico techniques; molecular docking, MM-GBSA and molecular dynamics simulations were employed to screen Moringa oleifera compounds and their anticancer potential was determined against CDK-2 protein targets. Among 36 compounds of Moringa oleifera reported in literature, chlorogenic acid (1), quercetin (2), ellagic acid (3), niazirin (4), and kaempferol (5) showed good affinity with the target. The interaction of the compounds was visualized using PYMOL software. The profiles of absorption, distribution, metabolism, excretion (ADME) and toxicity were determined using SWISS and ProTox II webservers. The MTT assay was performed in-vitro using MCF-7 cancer cell lines to validate the anticancer potential of Moringa oleifera leaf extract. MTT assay results revealed no significant change in proliferation of Mcf-7 cells following 24 h treatment with fraction A (petroleum ether). However, significant antiproliferative effect was observed at 200 µg/mL dose of fraction B (ethyl acetate) and cell viability was reduced to 40%. In conclusion, the data suggested that all the compounds with highest negative docking score than the reference could be the potential candidates for cyclin dependent kinase-2 (CDK-2) inhibition while ellagic acid, chlorogenic acid and quercetin being the most stable and potent inhibitors to treat estrogen receptor positive breast cancer targeting CDK-2. Moreover, the data suggested that further investigation is required to determine the optimum dose for significant antiproliferative effects using in-vivo models to validate our findings of in-silico analysis.

Published
2023
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17. Correction: Health and economic benefits of achieving hepatitis C virus elimination in Pakistan: A modelling study and economic analysis

Author

Lim, Aaron G., Scott, Nick, Walker, Josephine G., Hamid, Saeed, Hellard, Margaret, and Vickerman, Peter

Subjects
Biological sciences
Abstract

Author(s): Aaron G. Lim, Nick Scott, Josephine G. Walker, Saeed Hamid, Margaret Hellard, Peter Vickerman The second sentence of the Acknowledgments is incomplete. The complete sentence reads: AGL, JW, and [...]

Published
2024
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18. An international multidisciplinary consensus statement on MAFLD and the risk of CVD

Author

Zhou, Xiao-Dong, Targher, Giovanni, Byrne, Christopher D., Somers, Virend, Kim, Seung Up, Chahal, C. Anwar A., Wong, Vincent Wai-Sun, Cai, Jingjing, Shapiro, Michael D., Eslam, Mohammed, Steg, Philippe Gabriel, Sung, Ki-Chul, Misra, Anoop, Li, Jian-Jun, Brotons, Carlos, Huang, Yuli, Papatheodoridis, George V., Sun, Aijun, Yilmaz, Yusuf, Chan, Wah Kheong, Huang, Hui, Méndez-Sánchez, Nahum, Alqahtani, Saleh A., Cortez-Pinto, Helena, Lip, Gregory Y. H., de Knegt, Robert J., Ocama, Ponsiano, Romero-Gomez, Manuel, Fudim, Marat, Sebastiani, Giada, Son, Jang Won, Ryan, John D., Ikonomidis, Ignatios, Treeprasertsuk, Sombat, Pastori, Daniele, Lupsor-Platon, Monica, Tilg, Herbert, Ghazinyan, Hasmik, Boursier, Jerome, Hamaguchi, Masahide, Nguyen, Mindie H., Fan, Jian-Gao, Goh, George Boon-Bee, Al Mahtab, Mamun, Hamid, Saeed, Perera, Nilanka, George, Jacob, and Zheng, Ming-Hua

Published
2023
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19. Identifying the early predictors of non-response to steroids in patients with flare of autoimmune hepatitis causing acute-on-chronic liver failure

Author

Sharma, Sanchit, Agarwal, Samagra, Saraya, Anoop, Choudhury, Ashok Kumar, Saigal, Sanjiv, Soin, A. S., Shukla, Akash, Sahu, Manoj K., Lesmana, Laurentius A., Lesmana, Renaldi C., Shah, Samir N., Hu, Jinhua, Tan, Soek Siam, Jothimani, Dinesh, Rela, Mohammed, Ghazinyan, Hasmik L., Amrapurkar, D. N., Eapen, C. E., Goel, Ashish, Payawal, Diana Alcantra, Hamid, Saeed, Butt, Amna S., Zhongping, Duan, Singh, Virender, Duseja, Ajay, Sood, Ajit, Midha, Vandana, Al Mahtab, Mamun, Kim, Dong Joon, Ning, Qin, Kulkarni, Anand V., Rao, P. N., Lee, Guan Huei, Treeprasertsuk, Sombat, Shaojie, Xin, Karim, Md. Fazal, Sollano, Jose D., Kalista, Kemal Fariz, Gani, Rino Alvani, Prasad, V. G. Mohan, and Sarin, Shiv Kumar

Published
2023
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20. Progress towards elimination of viral hepatitis: a Lancet Gastroenterology & Hepatology Commission update

Author

Cooke, Graham S, Flower, Barnaby, Cunningham, Evan, Marshall, Alison D, Lazarus, Jeffrey V, Palayew, Adam, Jia, Jidong, Aggarwal, Rakesh, Al-Mahtab, Mamum, Tanaka, Yashuito, Jeong, Sook-Hyang, Poovorawan, Kittiyod, Waked, Imam, Hiebert, Lindsey, Khue, Pham M, Grebely, Jason, Alcantara-Payawal, Diana, Sanchez-Avila, Juan F, Mbendi, Charles, Muljono, David H, Lesi, Olufunmilayo, Desalegn, Hailemichael, Hamid, Saeed, de Araujo, Alexandre, Cheinquer, Hugo, Onyekwere, Charles A, Malyuta, Ruslan, Ivanchuk, Iryna, Thomas, David L, Pimenov, Nikolay, Chulanov, Vladimir, Dirac, Mae Ashworth, Han, Hannah, and Ward, John W

Published
2024
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22. AARC score determines outcomes in patients with alcohol-associated hepatitis: a multinational study

Author

Maiwall, Rakhi, Pasupuleti, Samba Siva Rao, Choudhury, Ashok, kim, Dong Joon, Sood, Ajit, Goyal, Omesh, Midha, Vandana, Devarbhavi, Harshad, Arora, Anil, Kumar, Ashish, Sahu, Manoj Kumar, Maharshi, Sudhir, Duseja, Ajay Kumar, Singh, Virendra, Taneja, Sunil, Rao, P. N., Kulkarni, Anand, Ghazinian, Hasmik, Hamid, Saeed, Eapen, C. E., Goel, Ashish, Shreshtha, Ananta, Shah, Samir, Hu, Jinhua, Prasad, V. G. Mohan, Yuemin, Nan, Shaojie, Xin, Dhiman, R. K., Chen, Tao, Ning, Qin, Panackel, Charles, Niriella, Madunil A., Lama, Thupten Kelsang, Tan, Soek-Siam, Dokmeci, A. Kadir, Shukla, Akash, Sharma, Manoj Kumar, and Sarin, Shiv Kumar

Published
2023
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23. HPLC profiling for the simultaneous estimation of antidiabetic compounds from Tradescantia pallida

Author

Fariha Imtiaz, Muhammad Islam, Hamid Saeed, Muhammad Ishaq, Usman Shareef, Muhammad Naeem Qaisar, Kalim Ullah, Sibghat Mansoor Rana, Anam Yasmeen, Aneeqa Saleem, and Romia Javaid Saddiqui

Subjects
Diabetes, Phenolic compounds, Phenols, Tradescantia pallida, HPLC, Method development, Chemistry, QD1-999
Abstract

Diabetes is a long-term metabolic disease epitomized by postprandial hyperglycemia. The prolonged use of synthetic drugs renders distinct side effects, necessitating the development of safe and cost-effective substitutes. The aim of the current study is to isolate, evaluate the antidiabetic potential and HPLC method development for simultaneous estimation of antidiabetic compounds from the leaves of Tradescantia pallida. The leaves were extracted, fractionated and subjected to column chromatography. The isolated compounds' antidiabetic potential was evaluated using α-amylase and glycosylation of hemoglobin assays. The study employed molecular docking to scrutinize interactions between antidiabetic compounds and human α-amylase and hemoglobin protein. Prime MM-GBSA calculations determined binding energies of ligand–protein complexes. Further analysis of morin and catechin involved exploring dynamic and thermodynamic constraints through molecular dynamics simulations under specific biological conditions. A rapid HPLC method was developed and validated for the simultaneous estimation of isolated compounds. The column chromatography culminated in the isolation of four antidiabetic compounds (syringic acid, catechin, p-coumaric acid and morin). The in vitro analyses revealed that morin and catechin exhibited 72.67 % and 78 % α-amylase inhibition and 67 % and 71.66 % inhibition of hemoglobin glycosylation, respectively. In silico studies substantiated the in vitro assay, confirming the stability of catechin and morin complexes via root mean square deviation analysis. Interactions, encompassing hydrophilic, hydrophobic, water bridges, and ionic interactions, identified key residues involved in these processes. The validated HPLC method exhibited excellent correlation coefficients ranged from 0.9909 to 0.9997. The antidiabetic compounds were quantified from the extract in the range of 0.072 – 0.160 µg/mL. The study concluded that the isolated compounds from Tradescantia pallida have remarkable antidiabetic activity, and the developed method can be successfully used for the identification and quantification of phenolic compounds in Tradescantia pallida and other plant-derived matrix.

Published
2024
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24. HepFREEPak: protocol for a multi-centre, prospective observational study examining efficacy and impact of current therapies for the treatment of hepatitis C in Pakistan and reporting resistance to antiviral drugs: study protocol

Author

Arif, Ambreen, Hasnain, Aliya, Chaudhry, Auj, Asim, Muhammad, Shafqat, Muhammad Nabeel, Altaf, Abeer, Saba, Noor, Kemos, Polychronis, Ansari, M. Azim, Barnes, Eleanor, Metcalfe, Chris, Vickerman, Peter, Qureshi, Huma, Hamid, Saeed, Choudhry, Asad Ali, Niaz, Saad Khalid, Foster, Graham R., and Choudhry, Naheed

Published
2023
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25. Meplazumab in hospitalized adults with severe COVID-19 (DEFLECT): a multicenter, seamless phase 2/3, randomized, third-party double-blind clinical trial

Author

Bian, Huijie, Chen, Liang, Zheng, Zhao-Hui, Sun, Xiu-Xuan, Geng, Jie-Jie, Chen, Ruo, Wang, Ke, Yang, Xu, Chen, Shi-Rui, Chen, Si-Yu, Xie, Rong-Hua, Zhang, Kui, Miao, Jin-Lin, Jia, Jun-Feng, Tang, Hao, Liu, Shuang-Shuang, Shi, Hong-Wei, Yang, Yong, Chen, Xiao-Chun, Malhotra, Vinay, Nasir, Nosheen, Khanum, Iffat, Mahmood, Faisal, Hamid, Saeed, Stadnik, Claudio Marcel Berdun, Itinose, Kengi, de Oliveira, Caroline Cândida Carvalho, Dusilek, Cesar, Rivabem, Lucas, Cavalcante, Adilson Joaquim Westheimer, Lopes, Suzara Souto, Saporito, Wladmir Faustino, Fucci, Fábio José Concilio, Simon-Campos, Jesus Abraham, Wang, Ling, Liu, Lin-Na, Wang, Qing-Yi, Wei, Ding, Zhang, Zheng, Chen, Zhi-Nan, and Zhu, Ping

Published
2023
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26. Global burden of metabolic dysfunction-associated liver disease, 2010 to 2021

Author

Feng, Gong, Targher, Giovanni, Byrne, Christopher D., Yilmaz, Yusuf, Wai-Sun Wong, Vincent, Adithya Lesmana, Cosmas Rinaldi, Adams, Leon A., Boursier, Jerome, Papatheodoridis, Georgios, El-Kassas, Mohamed, Méndez-Sánchez, Nahum, Sookoian, Silvia, Castera, Laurent, Chan, Wah-Kheong, Ye, Feng, Treeprasertsuk, Sombat, Cortez-Pinto, Helena, Yu, Hon Ho, Kim, Won, Romero-Gomez, Manuel, Nakajima, Atsushi, Win, Khin Maung, Kim, Seung Up, Holleboom, Adriaan G., Sebastiani, Giada, Ocama, Ponsiano, Ryan, John D., Lupșor-Platon, Monica, Ghazinyan, Hasmik, Al-Mahtab, Mamun, Hamid, Saeed, Perera, Nilanka, Alswat, Khalid, Pan, Qiuwei, Long, Michelle T., Isakov, Vasily, Mi, Man, Arrese, Marco, Sanyal, Arun, Sarin, Shiv Kumar, Leite, Nathalie Carvalho, Valenti, Luca, Newsome, Philip N., Hagström, Hannes, Petta, Salvatore, Yki-Jarvinen, Hannele, Schattenberg, Jörn M., Castellanos Fernández, Marlen I., Leclercq, Isabelle, Aghayeva, Gulnara, Elzouki, Abdel-Naser, Tumi, Ali, Sharara, Ala I., Labidi, Asma, Sanai, Faisal M., Matar, Khaled, Al-Mattooq, Maen, Akroush, Maisam Waid, Benazzouz, Mustapha, Debzi, Nabil, Alkhatry, Maryam, Barakat, Salma, Al-Busafi, Said A., Rwegasha, John, Yang, Wah, Adwoa, Agyei, Opio, Christopher Kenneth, Sotoudeheian, Mohammadjavad, Wong, Yu Jun, George, Jacob, and Zheng, Ming-Hua

Published
2024
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28. A Comprehensive Physiologically Based Pharmacokinetic Model for Predicting Vildagliptin Pharmacokinetics: Insights into Dosing in Renal Impairment

Author

Mahnoor Pasha, Ammara Zamir, Muhammad Fawad Rasool, Hamid Saeed, Tanveer Ahmad, Nawaf Shalih Alqahtani, Lamya Saif Alqahtani, and Faleh Alqahtani

Subjects
vildagliptin, type 2 diabetes, physiologically based pharmacokinetic model, chronic kidney disease, Medicine, Pharmacy and materia medica, RS1-441
Abstract

Physiologically based pharmacokinetic (PBPK) modeling is of great importance in the field of medicine. This study aims to construct a PBPK model, which can provide reliable drug pharmacokinetic (PK) predictions in both healthy and chronic kidney disease (CKD) subjects. To do so, firstly a review of the literature was thoroughly conducted and the PK information of vildagliptin was collected. PBPK modeling software, PK-Sim®, was then used to build and assess the IV, oral, and drug-specific models. Next, the average fold error, visual predictive checks, and predicted/observed ratios were used for the assessment of the robustness of the model for all the essential PK parameters. This evaluation demonstrated that all PK parameters were within an acceptable limit of error, i.e., 2 fold. Also to display the influence of CKD on the total and unbound AUC (the area under the plasma concentration–time curve) and to make modifications in dose, the analysis results of the model on this aspect were further examined. This PBPK model has successfully depicted the variations of PK of vildagliptin in healthy subjects and patients with CKD, which can be useful for medical practitioners in dosage optimization in renal disease patients.

Published
2024
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29. Preparation and investigation of a novel combination of Solanum nigrum-loaded, arabinoxylan-cross-linked β-cyclodextrin nanosponges for the treatment of cancer: in vitro, in vivo, and in silico evaluation

Author

Hamid Saeed Shah, Sumera Zaib, Imtiaz Khan, Mahmoud A. Sliem, Osama Alharbi, Mohammed Al-Ghorbani, Zobia Jawad, Kiran Shahzadi, and Sajjad Awan

Subjects
β-cyclodextrin, cancer, flow cytometry, nanosponges, Solanum nigrum, Therapeutics. Pharmacology, RM1-950
Abstract

Introduction: Cancer contributes to a high mortality rate worldwide spanning its diversity from genetics to resistant therapeutic response. To date emerging strategies to combat and manage cancer are particularly focused on the development of targeted therapies as conventional treatments account for the destruction of normal cells as well. In this regard, medicinal plant-based therapies are quite promising in imposing minimal side effects; however, limitations like poor bioavailability and stability of bioactive phytochemicals are associated with them. In parallel, nanotechnology provides nominal solution to deliver particular therapeutic agent without compromising its stability.Methods: In this study, Solanum nigrum, an effective medicinal plant, loaded arabinoxylan cross-linked β-cyclodextrin nanosponges (SN-AXCDNS) were designed to evaluate antitumor activity against breast cancer. Therefore, SN-AXCDNS were prepared by using cross-linker melt method and characterized by physicochemical and pharmacological parameters.Results: Hydrodynamic size, zeta potential and entrapment efficiency (EE%) were estimated as 226 ± 4 nm, −29.15 ± 5.71 mV and 93%, respectively. Surface morphology of nanocomposites showed spherical, smooth, and porous form. Antitumor pharmacological characterization showed that SN loaded nanosponge demonstrated higher cytotoxicity (22.67 ± 6.11 μg/mL), by inducing DNA damage as compared to void SN extract. Flow cytometry analysis reported that encapsulated extract promoted cell cycle arrest at sub-G1 (9.51%). Moreover, in vivo analysis demonstrates the reduction in tumor weight and 85% survival chances in nanosponge treated mice featuring its effectiveness. In addition, in silico analysis revealed that β-cyclodextrin potentially inhibits MELK in breast cancer cell lines (B.E = −10.1 Kcal/mol).Conclusion: Therefore, findings of current study elucidated the therapeutic potential of β-cyclodextrin based nanosponges to be an alternative approach regarding the delivery and solubilization of antitumor drugs.

Published
2023
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30. Global prevalence, cascade of care, and prophylaxis coverage of hepatitis B in 2022: a modelling study

Author

Razavi-Shearer, Devin, Gamkrelidze, Ivane, Pan, Calvin, Jia, Jidong, Berg, Thomas, Gray, Richard, Lim, Young-Suk, Chen, Chien-Jen, Ocama, Ponsiano, Desalegn, Hailemichael, Abbas, Zaigham, Abdallah, Ayat, Aghemo, Alessio, Ahmadbekova, Sabohat, Ahn, Sang Hoon, Aho, Inka, Akarca, Ulus, Al Masri, Nasser, Alalwan, Abduljaleel, Alavian, Seyed, Al-Busafi, Said, Aleman, Soo, Alfaleh, Faleh, Alghamdi, Abdullah, Al-Hamoudi, Waleed, Aljumah, Abdulrahman, Al-Naamani, Khalid, Al-Rifai, Ahmad, Alserkal, Yousif, Altraif, Ibrahim, Amarsanaa, Jazag, Anderson, Motswedi, Andersson, Monique, Armstrong, Paige, Asselah, Tarik, Athanasakis, Kostas, Baatarkhuu, Oidov, Ben-Ari, Ziv, Bensalem, Aicha, Bessone, Fernando, Biondi, Mia, Bizri, Abdul Rahman, Blach, Sarah, Braga, Wornei, Brandão-Mello, Carlos, Brosgart, Carol, Brown, Kimberly, Brown, Jr, Robert, Bruggmann, Philip, Brunetto, Maurizia, Buti, Maria, Cabezas, Joaquin, Casanovas, Teresa, Chae, Chungman, Chan, Henry Lik Yuen, Cheinquer, Hugo, Chen, Pei-Jer, Cheng, Kent Jason, Cheon, Myeong-Eun, Chien, Cheng-Hung, Choudhuri, Gourdas, Christensen, Peer Brehm, Chuang, Wan-Long, Chulanov, Vladimir, Cisneros, Laura, Coffin, Carla, Contreras, Fernando, Coppola, Nicola, Cornberg, Markus, Cowie, Benjamin, Cramp, Matthew, Craxi, Antonio, Crespo, Javier, Cui, Fuqiang, Cunningham, Chris, Dalgard, Olav, De Knegt, Robert, De Ledinghen, Victor, Dore, Gregory, Drazilova, Sylvia, Duberg, Ann-Sofi, Egeonu, Steve, Elbadri, Mohammed, El-Kassas, Mohamed, El-Sayed, Manal, Estes, Chris, Etzion, Ohad, Farag, Elmobashar, Ferradini, Laurent, Ferreira, Paulo, Flisiak, Robert, Forns, Xavier, Frankova, Sona, Fung, James, Gane, Edward, Garcia, Virginia, García-Samaniego, Javier, Gemilyan, Manik, Genov, Jordan, Gheorghe, Liliana, Gholam, Pierre, Gish, Robert, Goleij, Pouya, Gottfredsson, Magnus, Grebely, Jason, Gschwantler, Michael, Guingane, Nanelin Alice, Hajarizadeh, Behzad, Hamid, Saeed, Hamoudi, Waseem, Harris, Aaron, Hasan, Irsan, Hatzakis, Angelos, Hellard, Margaret, Hercun, Julian, Hernandez, Javier, Hockicková, Ivana, Hsu, Yao-Chun, Hu, Ching-Chih, Husa, Petr, Janicko, Martin, Janjua, Naveed, Jarcuska, Peter, Jaroszewicz, Jerzy, Jelev, Deian, Jeruma, Agita, Johannessen, Asgeir, Kåberg, Martin, Kaita, Kelly, Kaliaskarova, Kulpash, Kao, Jia-Horng, Kelly-Hanku, Angela, Khamis, Faryal, Khan, Aamir, Kheir, Omer, Khoudri, Ibtissam, Kondili, Loreta, Konysbekova, Aliya, Kristian, Pavol, Kwon, Jisoo, Lagging, Martin, Laleman, Wim, Lampertico, Pietro, Lavanchy, Daniel, Lázaro, Pablo, Lazarus, Jeffrey V, Lee, Alice, Lee, Mei-Hsuan, Liakina, Valentina, Lukšić, Boris, Malekzadeh, Reza, Malu, Abraham, Marinho, Rui, Mendes-Correa, Maria Cássia, Merat, Shahin, Meshesha, Berhane Redae, Midgard, Håvard, Mohamed, Rosmawati, Mokhbat, Jacques, Mooneyhan, Ellen, Moreno, Christophe, Mortgat, Laure, Müllhaupt, Beat, Musabaev, Erkin, Muyldermans, Gaëtan, Naveira, Marcelo, Negro, Francesco, Nersesov, Alexander, Nguyen, Van Thi Thuy, Ning, Qing, Njouom, Richard, Ntagirabiri, Rénovat, Nurmatov, Zuridin, Oguche, Stephen, Omuemu, Casimir, Ong, Janus, Opare-Sem, Ohene, Örmeci, Necati, Orrego, Mauricio, Osiowy, Carla, Papatheodoridis, George, Peck-Radosavljevic, Markus, Pessoa, Mário, Pham, Trang, Phillips, Richard, Pimenov, Nikolay, Pincay-Rodríguez, Loreley, Plaseska-Karanfilska, Dijana, Pop, Cora, Poustchi, Hossein, Prabdial-Sing, Nishi, Qureshi, Huma, Ramji, Alnoor, Rautiainen, Henna, Razavi-Shearer, Kathryn, Remak, William, Ribeiro, Sofia, Ridruejo, Ezequiel, Ríos-Hincapié, Cielo, Robalino, Marcia, Roberts, Lewis, Roberts, Stuart, Rodríguez, Manuel, Roulot, Dominique, Rwegasha, John, Ryder, Stephen, Sadirova, Shakhlo, Saeed, Umar, Safadi, Rifaat, Sagalova, Olga, Said, Sanaa, Salupere, Riina, Sanai, Faisal, Sanchez-Avila, Juan F, Saraswat, Vivek, Sargsyants, Narina, Sarrazin, Christoph, Sarybayeva, Gulya, Schréter, Ivan, Seguin-Devaux, Carole, Seto, Wai-Kay, Shah, Samir, Sharara, Ala, Sheikh, Mahdi, Shouval, Daniel, Sievert, William, Simojoki, Kaarlo, Simonova, Marieta, Sinn, Dong Hyun, Sonderup, Mark, Sonneveld, Milan, Spearman, C Wendy, Sperl, Jan, Stauber, Rudolf, Stedman, Catherine, Sypsa, Vana, Tacke, Frank, Tan, Soek-Siam, Tanaka, Junko, Tergast, Tammo, Terrault, Norah, Thompson, Alexander, Thompson, Peyton, Tolmane, Ieva, Tomasiewicz, Krzysztof, Tsang, Tak-Yin, Uzochukwu, Benjamin, Van Welzen, Berend, Vanwolleghem, Thomas, Vince, Adriana, Voeller, Alexis, Waheed, Yasir, Waked, Imam, Wallace, Jack, Wang, Cong, Weis, Nina, Wong, Grace, Wong, Vincent, Wu, Jaw-Ching, Yaghi, Cesar, Yesmembetov, Kakharman, Yip, Terry, Yosry, Ayman, Yu, Ming-Lung, Yuen, Man-Fung, Yurdaydin, Cihan, Zeuzem, Stefan, Zuckerman, Eli, and Razavi, Homie

Published
2023
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31. Hepatitis D virus infection: Pathophysiology, epidemiology and treatment. Report from the first international delta cure meeting 2022

Author

Yurdaydin, Cihan, Roulot, Dominique, Zoulim, Fabien, Caruntu, Florin Alexandru, Wedemeyer, Heiner, Kefalakes, Helenie, Lucifora, Julie, Agarwal, Kosh, Castera, Laurent, Buti, Maria, Rizzetto, Mario, Cornberg, Markus, Dandri, Maura, Brunetto, Maurizia, Reau, Nancy, Gish, Robert, Hamid, Saeed, Aleman, Soo, Urban, Stephan, Asselah, Tarik, Berg, Thomas, de Lédinghen, Victor, Lampertico, Pietro, Degasperi, Elisabetta, and Sandmann, Lisa

Published
2023
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32. A global research priority agenda to advance public health responses to fatty liver disease

Author

Lazarus, Jeffrey V., Mark, Henry E., Allen, Alina M., Arab, Juan Pablo, Carrieri, Patrizia, Noureddin, Mazen, Alazawi, William, Alkhouri, Naim, Alqahtani, Saleh A., Arrese, Marco, Bataller, Ramon, Berg, Thomas, Brennan, Paul N., Burra, Patrizia, Castro-Narro, Graciela E., Cortez-Pinto, Helena, Cusi, Kenneth, Dedes, Nikos, Duseja, Ajay, Francque, Sven M., Hagström, Hannes, Huang, Terry T-K., Wajcman, Dana Ivancovsky, Kautz, Achim, Kopka, Christopher J., Krag, Aleksander, Miller, Veronica, Newsome, Philip N., Rinella, Mary E., Romero, Diana, Sarin, Shiv Kumar, Silva, Marcelo, Spearman, C. Wendy, Tsochatzis, Emmanuel A., Valenti, Luca, Villota-Rivas, Marcela, Zelber-Sagi, Shira, Schattenberg, Jörn M., Wong, Vincent Wai-Sun, Younossi, Zobair M., Aberg, Fredrik, Adams, Leon, Al-Naamani, Khalid, Albadawy, Reda M., Alexa, Zinaida, Allison, Michael, Alnaser, Faisal A., Alswat, Khalid, Alvares-da-Silva, Mario Reis, Alvaro, Domenico, Alves-Bezerra, Michele, Andrade, Raul J., Anstee, Quentin M., Awuku, Yaw Asante, Baatarkhuu, Oidov, Baffy, Gyorgy, Bakieva, Shokhista, Bansal, Meena B., Barouki, Robert, Batterham, Rachel L., Behling, Cynthia, Belfort-DeAguiar, Renata, Berzigotti, Annalisa, Betel, Michael, Bianco, Cristiana, Bosi, Emanuele, Boursier, Jerome, Brunt, Elizabeth M., Bugianesi, Elisabetta, Byrne, Christopher J., Cabrera Cabrejos, Maria Cecilia, Caldwell, Stephen, Carr, Rotonya, Castellanos Fernández, Marlen Ivón, Castera, Laurent, Castillo-López, Maria Gabriela, Caussy, Cyrielle, Cerda-Reyes, Eira, Ceriello, Antonio, Chan, Wah- Kheong, Chang, Yoosoo, Charatcharoenwitthaya, Phunchai, Chavez-Tapia, Norberto, Chung, Raymond T., Colombo, Massimo, Coppell, Kirsten, Cotrim, Helma P., Craxi, Antonio, Crespo, Javier, Dassanayake, Anuradha, Davidson, Nicholas O., De Knegt, Robert, de Ledinghen, Victor, Demir, Münevver, Desalegn, Hailemichael, Diago, Moises, Dillon, John F., Dimmig, Bruce, Dirac, M. Ashworth, Dirchwolf, Melisa, Dufour, Jean-François, Dvorak, Karel, Ekstedt, Mattias, El-Kassas, Mohamed, Elsanousi, Osama M., Elsharkawy, Ahmed M., Elwakil, Reda, Eskridge, Wayne, Eslam, Mohammed, Esmat, Gamal, Fan, Jian- Gao, Ferraz, Maria Lucia, Flisiak, Robert, Fortin, Davide, Fouad, Yasser, Freidman, Scott L., Fuchs, Michael, Gadano, Adrian, Gastaldelli, Amalia, Geerts, Anja, Geier, Andreas, George, Jacob, Gerber, Lynn H., Ghazinyan, Hasmik, Gheorghe, Liana, Kile, Denise Giangola, Girala, Marcos, Boon Bee, George Goh, Goossens, Nicolas, Graupera, Isabel, Grønbæk, Henning, Hamid, Saeed, Hebditch, Vanessa, Henry, Zachary, Hickman, Ingrid J., Hobbs, L. Ansley, Hocking, Samantha L., Hofmann, Wolf Peter, Idilman, Ramazan, Iruzubieta, Paula, Isaacs, Scott, Isakov, Vasily A., Ismail, Mona H., Jamal, Mohammad H., Jarvis, Helen, Jepsen, Peter, Jornayvaz, François, Sudhamshu, K.C., Kakizaki, Satoru, Karpen, Saul, Kawaguchi, Takumi, Keating, Shelley E., Khader, Yousef, Kim, Seung Up, Kim, Won, Kleiner, David E., Koek, Ger, Joseph Komas, Narcisse Patrice, Kondili, Loreta A., Koot, Bart G., Korenjak, Marko, Kotsiliti, Eleni, Koulla, Yiannoula, Kugelmas, Carina, Kugelmas, Marcelo, Labidi, Asma, Lange, Naomi F., Lavine, Joel E., Lazo, Mariana, Leite, Nathalie, Lin, Han-Chieh, Lkhagvaa, Undram, Long, Michelle T., Lopez-Jaramillo, Patricio, Lozano, Adelina, Macedo, Maria Paula, Malekzadeh, Reza, Marchesini, Giulio, Marciano, Sebastian, Martinez, Kim, Martínez Vázquez, Sophia E., Mateva, Lyudmila, Mato, José M., Nlombi, Charles Mbendi, McCary, Alexis Gorden, McIntyre, Jeff, McKee, Martin, Mendive, Juan M., Mikolasevic, Ivana, Miller, Pamela S., Milovanovic, Tamara, Milton, Terri, Moreno-Alcantar, Rosalba, Morgan, Timothy R., Motala, Ayesha, Muris, Jean, Musso, Carla, Nava-González, Edna J., Negro, Francesco, Nersesov, Alexander V., Neuschwander-Tetri, Brent A., Nikolova, Dafina, Norris, Suzanne, Novak, Katja, Ocama, Ponsiano, Ong, Janus P., Ong-Go, Arlinking, Onyekwere, Charles, Padilla, Martin, Pais, Raluca, Pan, Calvin, Panduro, Arturo, Panigrahi, Manas K., Papatheodoridis, Georgios, Paruk, Imran, Patel, Keyur, Gonçalves, Carlos Penha, Figueroa, Marlene Pérez, Pérez-Escobar, Juanita, Pericàs, Juan M., Perseghin, Gianluca, Pessoa, Mário Guimarães, Petta, Salvatore, Marques Souza de Oliveira, Claudia Pinto, Prabhakaran, Dorairaj, Pyrsopoulous, Nikolaos, Rabiee, Atoosa, Ramji, Alnoor, Ratziu, Vlad, Ravendhran, Natarajan, Ray, Katrina, Roden, Michael, Romeo, Stefano, Romero-Gómez, Manuel, Rotman, Yaron, Rouabhia, Samir, Rowe, Ian A., Sadirova, Shakhlo, Alkhatry, Maryam Salem, Salupere, Riina, Satapathy, Sanjaya K., Schwimmer, Jeffrey B., Sebastiani, Giada, Seim, Lynn, Seki, Yosuke, Serme, Abdel Karim, Shapiro, David, Sharvadze, Lali, Shaw, Jonathan E., Shawa, Isaac Thom, Shenoy, Thrivikrama, Shibolet, Oren, Shimakawa, Yusuke, Shubrook, Jay H., Singh, Shivaram Prasad, Sinkala, Edford, Skladany, Lubomir, Skrypnyk, Igor, Song, Myeong Jun, Sookoian, Silvia, Sridharan, Kannan, Stefan, Norbert, Stine, Jonathan G., Stratakis, Nikolaos, Sheriff, Dhastagir Sultan, Sundaram, Shikha S., Svegliati-Baroni, Gianluca, Swain, Mark G., Tacke, Frank, Taheri, Shahrad, Tan, Soek-Siam, Tapper, Elliot B., Targher, Giovanni, Tcaciuc, Eugen, Thiele, Maja, Tiniakos, Dina, Tolmane, Ieva, Torre, Aldo, Torres, Esther A., Treeprasertsuk, Sombat, Trenell, Michael, Turcan, Svetlana, Turcanu, Adela, Valantinas, Jonas, van Kleef, Laurens A., Velarde Ruiz Velasco, Jose Antonio, Vesterhus, Mette, Vilar-Gomez, Eduardo, Waked, Imam, Wattacheril, Julia, Wedemeyer, Heiner, Wilkins, Fonda, Willemse, José, Wong, Robert J., Yilmaz, Yusuf, Yki-Järvinen, Hannele, Yu, Ming-Lung, Yumuk, Volkan, Zeybel, Müjdat, Zheng, Kenneth I., Zheng, Ming-Hua, and Huang, Terry T.-K.

Published
2023
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35. Determinants of anxiety and depression among university teachers during third wave of COVID-19

Author

Hamid Saeed, Amna Fakhar Qureshi, Muhammad Fawad Rasool, Muhammad Islam, Furqan Khurshid Hashmi, Amna Saeed, Rimsha Asad, Arfa Arshad, and Azba Abid Qureshi

Subjects
Professors, Pakistan, DASS-21, Anxiety, Depression, COVID-19, Psychiatry, RC435-571
Abstract

Abstract Background To estimate the determinants of anxiety and depression among university teachers in Lahore, Pakistan, during COVID-19. Methods A cross-sectional study was conducted by enrolling 668 teachers from the universities of Lahore, Pakistan. Data were collected using a questionnaire. Chi-square for significance and logistic regression for the association were used. Results Majorly, the university teachers, with an average age of 35.29 years, had regular jobs (72.8%), job experience of > 6 years (51.2%) and good self-reported health (55.4%). The majority of the teachers were working as lecturers (59.6%), lecturing in arts (33.5%) or general science (42.5%) departments, having MPhil (37.9%) or master (28.9%) degrees, and teaching via synchronous video (59.3%) mode. Anxiety and depression, severe and extremely severe, were higher among lecturers, MPhil or master degree holders, teachers lecturing arts and general science subjects, and in those on contract employment. Anxiety was significantly associated with academic departments; arts (OR;2.5, p = 0.001) and general science (OR;2.9, p = 0.001), poor health status (OR;4.4, p = 0.018), and contractual employment (OR;1.8, p = 0.003). Depression was associated with academic departments; arts (OR;2.7, p = 0.001) and general science (OR;2.5, p = 0.001), and health status (OR;2.3, p = 0.001). Conclusion Among university teachers, anxiety and depression, severe and extremely severe, were prevalent among lecturers having MPhil or master degrees, belonging to arts and general science departments, and among contract employees. Anxiety and depression were significantly associated with academic disciplines, lower cadre, and poor health status.

Published
2023
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36. Application of a physiologically based pharmacokinetic model in predicting captopril disposition in children with chronic kidney disease

Author

Sundus Khalid, Muhammad Fawad Rasool, Imran Masood, Imran Imran, Hamid Saeed, Tanveer Ahmad, Nawaf Shalih Alqahtani, Fahad Ali Alshammari, and Faleh Alqahtani

Subjects
Medicine, Science
Abstract

Abstract Over the last several decades, angiotensin-converting enzyme inhibitors (ACEIs) have been a staple in the treatment of hypertension and renovascular disorders in children. One of the ACEIs, captopril, is projected to have all the benefits of traditional vasodilators. However, conducting clinical trials for determining the pharmacokinetics (PK) of a drug is challenging, particularly in pediatrics. As a result, modeling and simulation methods have been developed to identify the safe and effective dosages of drugs. The physiologically based pharmacokinetic (PBPK) modeling is a well-established method that permits extrapolation from adult to juvenile populations. By using SIMCYP simulator, as a modeling platform, a previously developed PBPK drug-disease model of captopril was scaled to renally impaired pediatrics population for predicting captopril PK. The visual predictive checks, predicted/observed ratios (ratiopred/obs), and the average fold error of PK parameters were used for model evaluation. The model predictions were comparable with the reported PK data of captopril in mild and severe chronic kidney disease (CKD) patients, as the mean ratiopred/obs Cmax and AUC0−t were 1.44 (95% CI 1.07 − 1.80) and 1.26 (95% CI 0.93 − 1.59), respectively. The successfully developed captopril-CKD pediatric model can be used in suggesting drug dosing in children diagnosed with different stages of CKD.

Published
2023
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38. INASL–SAASL Consensus Statements on NAFLD Name Change to MAFLD

Author

Singh, Shivaram P., Duseja, Ajay, Mahtab, Mamun al, Anirvan, Prajna, Acharya, Subrat K., Akbar, Sheikh Mohammad Fazle, Butt, Amna S., Dassanayake, Anuradha, De, Arka, Dhakal, G.P., Hamid, Saeed, Madan, Kaushal, Panigrahi, Manas K., Rao, P.N., Saigal, Sanjiv, Satapathy, Sanjaya K., Shalimar, Shrestha, Ananta, Shukla, Akash, Sudhamshu, K.C., and Wijewantha, Hasitha

Published
2023
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39. 17p Deletion in Patients with De Novo Acute Myeloid Leukemia and their Clinico-Haematologic Features

Author

Saniya Jalil, Helen Mary Robert, Hamid Saeed Malik, Asad Mehmood Abbasi, Sarah Fatima, and Hina Niaz

Subjects
Acute Myeloid Leukemia, Clinico-haematologic features, del17p, Fluorescence in situ hybridization, Medicine, Medicine (General), R5-920
Abstract

Objective: To determine the frequency of 17p deletion in patients with Acute Myeloid Leukemia and their clinical-hematologic features using fluorescence in situ hybridization. Study Design: Cross-sectional study. Place & Duration of Study: Department of Hematology, Armed Forces Institute of Pathology, Rawalpindi Pakistan, from Dec 2018 to Dec 2019. Methodology: All diagnosed cases of Acute Myeloid Leukemia of all ages and genders were included. Interphase FISH testing was performed using blood or bone marrow specimens using 10μL of the Meta systems XL p53 probe, and a total of 500 nuclei per assay were analyzed using a fluorescent microscope. Del 17p positivity and negativity were noted. Clinico-haematologic features of the patients with and without del 17p were also noted. Results: In our targeted population of 84 patients, there were 25(29.8%) females and 59(70.2%) males. The mean age of presentation was 36.3±1.6 years. The mean total leucocyte count(TLC)was 31.2±4.2×109/L, and the mean platelet count was 69.3±4.5×109/L. Del 17p was detected in a total of 8(9.5%) patients. The median age of patients with del 17p at diagnosis was 33 years, the mean TLC was 12.32±10.36x109/L, and the mean platelet count was 80±26.73*109/L. Prominent clinical features among patients with del 17p included fever and pallor. Conclusion: Our study suggests a relatively low frequency of del 17p in AML (9.5%), which is consistent with international data.

Published
2023
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40. A Comprehensive Physiologically Based Pharmacokinetic Model of Nadolol in Adults with Renal Disease and Pediatrics with Supraventricular Tachycardia

Author

Samia Kalsoom, Muhammad Fawad Rasool, Imran Imran, Hamid Saeed, Tanveer Ahmad, and Faleh Alqahtani

Subjects
nadolol, physiologically based pharmacokinetic, PK-Sim, pharmacokinetic, renal impairment, pediatrics, Medicine, Pharmacy and materia medica, RS1-441
Abstract

Nadolol is a long-acting non-selective β–adrenergic antagonist that helps treat angina and hypertension. The current study aimed to develop and validate the physiologically based pharmacokinetic model (PBPK) of nadolol in healthy adults, renal-compromised, and pediatric populations. A comprehensive PBPK model was established by utilizing a PK-Sim simulator. After establishing and validating the model in healthy adults, pathophysiological changes i.e., blood flow, hematocrit, and GFR that occur in renal failure were incorporated in the developed model, and the drug exposure was assessed through Box plots. The pediatric model was also developed and evaluated by considering the renal maturation process. The validation of the models was carried out by visual predictive checks, calculating predicted to observed (Rpre/obs) and the average fold error (AFE) of PK parameters i.e., the area under the concentration–time curve (AUC0-t), the maximum concentration in plasma (Cmax), and CL (clearance). The presented PBPK model successfully simulates the nadolol PK in healthy adults, renal-impaired, and pediatric populations, as the Rpre/obs values of all PK parameters fall within the acceptable range. The established PBPK model can be useful in nadolol dose optimization in patients with renal failure and children with supraventricular tachycardia.

Published
2024
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41. Acute variceal bleeding portends poor outcomes in patients with acute-on-chronic liver failure: a propensity score matched study from the APASL ACLF Research Consortium (AARC)

Author

Sharma, Sanchit, Agarwal, Samagra, Saraya, Anoop, Choudhury, Ashok, Mahtab, Mamun Al, Alam, Mohd. Shahinul, Saigal, Sanjiv, Kim, Dong Joon, Eapen, C. E., Goel, Ashish, Ning, Qin, Devarbhavi, Harshad, Singh, Virendra, Shukla, Akash, Hamid, Saeed, Hu, Jinhua, Tan, Soek-Siam, Arora, Anil, Sahu, Manoj Kumar, Rela, Mohd., Jothimani, Dinesh, Rao, P. N., Kulkarni, Anand, Ghaznian, Hashmik, Lee, Guan Huei, Zhongping, Duan, Sood, Ajit, Goyal, Omesh, Lesmana, Laurentius A., Lesmana, Rinaldi C., Treeprasertsuk, Sombat, Yuemin, Nan, Shah, Samir, Tao, Han, Dayal, V. M., Shaojie, Xin, Karim, Fazal, Abbas, Zaigham, Sollano, Jose D., Kalista, Kemal Fariz, Shreshtha, Ananta, Payawal, Diana, Omata, Masao, and Sarin, Shiv Kumar

Published
2022
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43. Frequency of PDGFRA, PDGFRB and FGFR1 Gene Rearrangements in Patients with Eosinophilia and Their Clinico-Haematologic Parameters

Author

Saniya Jalil, Helen Mary Robert, Hamid Saeed, Asad Mehmood Abbasi, Aamna Latif, and Annum Sardar

Subjects
Clinico-haematologic features, Eosinophilia, FGFR1, PDGFRA, PDGFRB, Medicine, Medicine (General), R5-920
Abstract

Objective: To determine the frequency and clinico-haematological features of PDGFRA, PDGFRB and FGFR1 gene rearrangements in patients with persistent Eosinophilia using Fluorescence in situ hybridization. Study Design: Cross-sectional study. Place and Duration of Study: Department of Hematology, Armed Forces Institute of Pathology, Rawalpindi Pakistan, from Dec 2018 to Dec 2019. Methodology: All Patients who presented to AFIP having absolute eosinophil count >1.5x109/L persistent for over six months or with Myeloid or Lymphoid neoplasms with persistent Eosinophilia were studied. Patients having reactive Eosinophilia and those on treatment were excluded. Interphase FISH studies were performed. In addition, 2.5ml of sodium heparin blood was taken. After the denaturation of DNA, slides were set up according to standard protocol. FIP1L1/CHIC2/PDGFRA dual colour probe was applied for PDGFRA, 5q32 PDGFRA break apart probe for PDGFRB and XL FGFR1 break apart probe for FGFR1 gene rearrangement. Results: A total of 60 patients were included in the study. Of these, 50(83.3%) were males, and 10(16.7%) were females, with an average absolute Eosinophilia count of 5.92±7.10x109/L. The only rearrangement detected in patients with Eosinophilia was FIPILI-PDGFRA gene fusion, detected in 20% of the patients. No other rearrangement was found. Conclusion: PDGFRA, PDGFRB and FGFR1 mutations are rare yet most prominent in patients with clonal Eosinophilia. About 80% of eosinophilic patients were found to have idiopathic Eosinophilia, which requires further consideration to address the disease prevalence.

Published
2023
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44. Global, regional, and national burden of hepatitis B, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Author

Sheena, Brittney S, Hiebert, Lindsey, Han, Hannah, Ippolito, Helen, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abbastabar, Hedayat, Abdoli, Amir, Abubaker Ali, Hiwa, Adane, Mesafint Molla, Adegboye, Oyelola A, Adnani, Qorinah Estiningtyas Sakilah, Advani, Shailesh M, Afzal, Muhammad Sohail, Afzal, Saira, Aghaie Meybodi, Mohamad, Ahadinezhad, Bahman, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmad, Tauseef, Ahmadi, Sepideh, Ahmed, Haroon, Ahmed, Muktar Beshir, Ahmed Rashid, Tarik, Akalu, Gizachew Taddesse, Aklilu, Addis, Akram, Tayyaba, Al Hamad, Hanadi, Alahdab, Fares, Alem, Adugnaw Zeleke, Alem, Dejene Tsegaye, Alhalaiqa, Fadwa Alhalaiqa Naji, Alhassan, Robert Kaba, Ali, Liaqat, Ali, Muhammad Ashar, Alimohamadi, Yousef, Alipour, Vahid, Alkhayyat, Motasem, Almustanyir, Sami, Al-Raddadi, Rajaa M, Altawalah, Haya, Amini, Saeed, Amu, Hubert, Ancuceanu, Robert, Andrei, Catalina Liliana, Andrei, Tudorel, Anoushiravani, Amir, Ansar, Adnan, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Arab-Zozani, Morteza, Argaw, Ayele Mamo, Argaw, Zeleke Gebru, Arshad, Muhammad, Artamonov, Anton A, Ashraf, Tahira, Atlaw, Daniel, Ausloos, Floriane, Ausloos, Marcel, Azadnajafabad, Sina, Azangou-Khyavy, Mohammadreza, Azari Jafari, Amirhossein, Azarian, Ghasem, Bagheri, Sayna, Bahadory, Saeed, Baig, Atif Amin, Banach, Maciej, Barati, Nastaran, Barrow, Amadou, Batiha, Abdul-Monim Mohammad, Bejarano Ramirez, Diana Fernanda, Belgaumi, Uzma Iqbal, Berhie, Alemshet Yirga, Bhagat, Devidas S, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhattacharyya, Krittika, Bhojaraja, Vijayalakshmi S, Bijani, Ali, Biondi, Antonio, Bodicha, Belay Boda Abule, Bojia, Hunduma Amensisa, Boloor, Archith, Bosetti, Cristina, Braithwaite, Dejana, Briko, Nikolay Ivanovich, Butt, Zahid A, Cámera, Luis Alberto, Chakinala, Raja Chandra, Chakraborty, Promit Ananyo, Charan, Jaykaran, Chen, Shu, Choi, Jee-Young Jasmine, Choudhari, Sonali Gajanan, Chowdhury, Fazle Rabbi, Chu, Dinh-Toi, Chung, Sheng-Chia, Cortesi, Paolo Angelo, Cowie, Benjamin C, Culbreth, Garland T, Dadras, Omid, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, De la Hoz, Fernando Pio, Debela, Sisay Abebe, Dedefo, Mohammed Gebre, Demeke, Feleke Mekonnen, Demie, Takele Gezahegn G, Demissie, Getu Debalkie, Derbew Molla, Meseret, Desta, Abebaw Alemayehu, Dhamnetiya, Deepak, Dhimal, Mandira Lamichhane, Dhimal, Meghnath, Didehdar, Mojtaba, Doan, Linh Phuong, Dorostkar, Fariba, Drake, Thomas M, Eghbalian, Fatemeh, Ekholuenetale, Michael, El Sayed, Iman, El Sayed Zaki, Maysaa, Elhadi, Muhammed, Elmonem, Mohamed A, Elsharkawy, Aisha, Enany, Shymaa, Enyew, Daniel Berhanie, Erkhembayar, Ryenchindorj, Eskandarieh, Sharareh, Esmaeilzadeh, Firooz, Ezzikouri, Sayeh, Farrokhpour, Hossein, Fetensa, Getahun, Fischer, Florian, Foroutan, Masoud, Gad, Mohamed M, Gaidhane, Abhay Motiramji, Gaidhane, Shilpa, Galles, Natalie C, Gallus, Silvano, Gebremeskel, Teferi Gebru, Gebreyohannes, Eyob Alemayehu, Ghadiri, Keyghobad, Ghaffari, Kazem, Ghafourifard, Mansour, Ghamari, Seyyed-Hadi, Ghashghaee, Ahmad, Gholami, Ali, Gholizadeh, Abdolmajid, Gilani, Aima, Goel, Amit, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Gorini, Giuseppe, Goshu, Yitayal Ayalew, Griswold, Max G, Gubari, Mohammed Ibrahim Mohialdeen, Gupta, Bhawna, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Haddadi, Rasool, Halwani, Rabih, Hamid, Saeed S, Hamidi, Samer, Hanif, Asif, Haque, Shafiul, Harapan, Harapan, Hargono, Arief, Hariri, Sanam, Hasaballah, Ahmed I, Hasan, S M Mahmudul, Hassanipour, Soheil, Hassankhani, Hadi, Hay, Simon I, Hayat, Khezar, Heidari, Golnaz, Herteliu, Claudiu, Heyi, Demisu Zenbaba, Hezam, Kamal, Holla, Ramesh, Hosseini, Mohammad-Salar, Hosseini, Mostafa, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Househ, Mowafa, Huang, Junjie, Hussein, Nawfal R, Iavicoli, Ivo, Ibitoye, Segun Emmanuel, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Irham, Lalu Muhammad, Islam, Jessica Y, Ismail, Nahlah Elkudssiah, Jacobsen, Kathryn H, Jadidi-Niaragh, Farhad, Javadi Mamaghani, Amirreza, Jayaram, Shubha, Jayawardena, Ranil, Jebai, Rime, Jha, Ravi Prakash, Joseph, Nitin, Joukar, Farahnaz, Kaambwa, Billingsley, Kabir, Ali, Kabir, Zubair, Kalhor, Rohollah, Kandel, Himal, Kanko, Tesfaye K Tesfaye, Kantar, Rami S, Karaye, Ibraheem M, Kassa, Bekalu Getnet, Kemp Bohan, Phillip M, Keykhaei, Mohammad, Khader, Yousef Saleh, Khajuria, Himanshu, Khan, Gulfaraz, Khan, Imteyaz A, Khan, Junaid, Khan, Moien AB, Khanali, Javad, Khater, Amir M, Khatib, Mahalaqua Nazli, Khodadost, Mahmoud, Khoja, Abdullah T, Khosravizadeh, Omid, Khubchandani, Jagdish, Kim, Gyu Ri, Kim, Hanna, Kim, Min Seo, Kim, Yun Jin, Kocarnik, Jonathan M, Kolahi, Ali-Asghar, Koteeswaran, Rajasekaran, Kumar, G Anil, La Vecchia, Carlo, Lal, Dharmesh Kumar, Landires, Iván, Lasrado, Savita, Lazarus, Jeffrey V, Ledda, Caterina, Lee, Doo Woong, Lee, Sang-woong, Lee, Yeong Yeh, Levi, Miriam, Li, Jiarui, Lim, Stephen S, Lobo, Stany W, Lopukhov, Platon D, Loureiro, Joana A, MacLachlan, Jennifer H, Magdy Abd El Razek, Hassan, Magdy Abd El Razek, Muhammed, Majeed, Azeem, Makki, Alaa, Malekpour, Mohammad-Reza, Malekzadeh, Reza, Malik, Ahmad Azam, Mansour-Ghanaei, Fariborz, Mansournia, Mohammad Ali, Martins-Melo, Francisco Rogerlândio, Matthews, Philippa C, Mendoza, Walter, Menezes, Ritesh G, Meretoja, Tuomo J, Mersha, Amanual Getnet, Mestrovic, Tomislav, Miller, Ted R, Minh, Le Huu Nhat, Mirica, Andreea, Mirmoeeni, Seyyedmohammadsadeq, Mirrakhimov, Erkin M, Misra, Sanjeev, Mithra, Prasanna, Moazen, Babak, Mohamadkhani, Ashraf, Mohammadi, Mokhtar, Mohammed, Shafiu, Moka, Nagabhishek, Mokdad, Ali H, Moludi, Jalal, Momtazmanesh, Sara, Monasta, Lorenzo, Moradi, Ghobad, Moradzadeh, Maliheh, Moradzadeh, Rahmatollah, Moraga, Paula, Mostafavi, Ebrahim, Mubarik, Sumaira, Muniyandi, Malaisamy, Murray, Christopher J L, Naghavi, Mohsen, Naimzada, Mukhammad David, Narasimha Swamy, Sreenivas, Natto, Zuhair S, Nayak, Biswa Prakash, Nazari, Javad, Negoi, Ionut, Negru, Serban Mircea, Nejadghaderi, Seyed Aria, Neupane Kandel, Sandhya, Nguyen, Huong Lan Thi, Ngwa, Che Henry, Niazi, Robina Khan, Nnaji, Chukwudi A, Noubiap, Jean Jacques, Nowroozi, Ali, Nuñez-Samudio, Virginia, Oancea, Bogdan, Ochir, Chimedsuren, Odukoya, Oluwakemi Ololade, Oh, In-Hwan, Olagunju, Andrew T, Olakunde, Babayemi Oluwaseun, Omar Bali, Ahmed, Omer, Emad, Otstavnov, Stanislav S, Oumer, Bilcha, Padubidri, Jagadish Rao, Pana, Adrian, Pandey, Anamika, Park, Eun-Cheol, Pashazadeh Kan, Fatemeh, Patel, Urvish K, Paudel, Uttam, Petcu, Ionela-Roxana, Piracha, Zahra Zahid, Pollok, Richard Charles G, Postma, Maarten J, Pourshams, Akram, Poustchi, Hossein, Rabiee, Mohammad, Rabiee, Navid, Rafiei, Alireza, Rafiei, Sima, Raghuram, Pavan Manibettu, Rahman, Mosiur, Rahmani, Amir Masoud, Rahmawaty, Setyaningrum, Rajesh, Aashish, Ranasinghe, Priyanga, Rao, Chythra R, Rao, Sowmya J, Rashidi, Mahsa, Rashidi, Mohammad-Mahdi, Rawaf, David Laith, Rawaf, Salman, Rawassizadeh, Reza, Rezaei, Negar, Rezapour, Aziz, Rezazadeh-Khadem, Sahba, Rodriguez, Jefferson Antonio Buendia, Rwegerera, Godfrey M, Sabour, Siamak, Saddik, Basema, Saeb, Mohammad Reza, Saeed, Umar, Sahebkar, Amirhossein, Saif-Ur-Rahman, KM, Salahi, Sarvenaz, Salimzadeh, Hamideh, Sampath, Chethan, Samy, Abdallah M, Sanabria, Juan, Sanmarchi, Francesco, Santric-Milicevic, Milena M, Sarveazad, Arash, Sathian, Brijesh, Sawhney, Monika, Seidu, Abdul-Aziz, Sepanlou, Sadaf G, Seylani, Allen, Shahabi, Saeed, Shaikh, Masood Ali, Shaker, Elaheh, Shakhmardanov, Murad Ziyaudinovich, Shannawaz, Mohammed, Shenoy, Suchitra M, Shetty, Jeevan K, Shetty, Pavanchand H, Shibuya, Kenji, Shin, Jae Il, Shobeiri, Parnian, Sibhat, Migbar Mekonnen, Singh, Achintya Dinesh, Singh, Jasvinder A, Singh, Surjit, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Sohrabpour, Amir Ali, Song, Suhang, Tabaeian, Seidamir Pasha, Tadesse, Eyayou Girma, Taheri, Majid, Tampa, Mircea, Tan, Ker-Kan, Tavakoli, Ahmad, Tbakhi, Abdelghani, Tefera, Belay Negash, Tehrani-Banihashemi, Arash, Tesfaw, Habtamu Molla, Thapar, Rekha, Thavamani, Aravind, Tohidast, Seyed Abolfazl, Tollosa, Daniel Nigusse, Tosti, Maria Elena, Tovani-Palone, Marcos Roberto, Traini, Eugenio, Tran, Mai Thi Ngoc, Trihandini, Indang, Tusa, Biruk Shalmeno, Ullah, Irfan, Vacante, Marco, Valadan Tahbaz, Sahel, Valdez, Pascual R, Varthya, Shoban Babu, Vo, Bay, Waheed, Yasir, Weldesenbet, Adisu Birhanu, Woldemariam, Melat, Xu, Suowen, Yahyazadeh Jabbari, Seyed Hossein, Yaseri, Mehdi, Yeshaw, Yigizie, Yiğit, Vahit, Yirdaw, Birhanu Wubale, Yonemoto, Naohiro, Yu, Chuanhua, Yunusa, Ismaeel, Zahir, Mazyar, Zaki, Leila, Zamani, Mohammad, Zamanian, Maryam, Zastrozhin, Mikhail Sergeevich, Vos, Theo, Ward, John W, and Dirac, M Ashworth

Published
2022
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46. Global change in hepatitis C virus prevalence and cascade of care between 2015 and 2020: a modelling study

Author

Blach, Sarah, Terrault, Norah A, Tacke, Frank, Gamkrelidze, Ivane, Craxi, Antonio, Tanaka, Junko, Waked, Imam, Dore, Gregory J, Abbas, Zaigham, Abdallah, Ayat R, Abdulla, Maheeba, Aghemo, Alessio, Aho, Inka, Akarca, Ulus S, Alalwan, Abduljaleel M, Alanko Blomé, Marianne, Al-Busafi, Said A, Aleman, Soo, Alghamdi, Abdullah S, Al-Hamoudi, Waleed K, Aljumah, Abdulrahman A, Al-Naamani, Khalid, Al Serkal, Yousif M, Altraif, Ibrahim H, Anand, Anil C, Anderson, Motswedi, Andersson, Monique I, Athanasakis, Kostas, Baatarkhuu, Oidov, Bakieva, Shokhista R, Ben-Ari, Ziv, Bessone, Fernando, Biondi, Mia J, Bizri, Abdul Rahman N, Brandão-Mello, Carlos E, Brigida, Krestina, Brown, Kimberly A, Brown, Jr, Robert S, Bruggmann, Philip, Brunetto, Maurizia R, Busschots, Dana, Buti, Maria, Butsashvili, Maia, Cabezas, Joaquin, Chae, Chungman, Chaloska Ivanova, Viktorija, Chan, Henry Lik Yuen, Cheinquer, Hugo, Cheng, Kent Jason, Cheon, Myeong-Eun, Chien, Cheng-Hung, Chien, Rong-Nan, Choudhuri, Gourdas, Christensen, Peer Brehm, Chuang, Wan-Long, Chulanov, Vladimir, Cisneros, Laura E, Coco, Barbara, Contreras, Fernando A, Cornberg, Markus, Cramp, Matthew E, Crespo, Javier, Cui, Fuqiang, Cunningham, Chris W, Dagher Abou, Lucy, Dalgard, Olav, Dao, Doan Y, De Ledinghen, Victor, Derbala, Moutaz F, Deuba, Keshab, Dhindsa, Karan, Djauzi, Samsuridjal, Drazilova, Sylvia, Duberg, Ann-Sofi, Elbadri, Mohammed, El-Sayed, Manal H, Esmat, Gamal, Estes, Chris, Ezzat, Sameera, Färkkilä, Martti A, Ferradini, Laurent, Ferraz, Maria Lucia G, Ferreira, Paulo R A, Filipec Kanizaj, Tajana, Flisiak, Robert, Frankova, Sona, Fung, James, Gamkrelidze, Amiran, Gane, Edward, Garcia, Virginia, García-Samaniego, Javier, Gemilyan, Manik, Genov, Jordan, Gheorghe, Liliana S, Gholam, Pierre M, Goldis, Adrian, Gottfredsson, Magnus, Gray, Richard T, Grebely, Jason, Gschwantler, Michael, Hajarizadeh, Behzad, Hamid, Saeed S, Hamoudi, Waseem, Hatzakis, Angelos, Hellard, Margaret E, Himatt, Sayed, Hofer, Harald, Hrstic, Irena, Hunyady, Bela, Husa, Petr, Husic-Selimovic, Azra, Jafri, Wasim S M, Janicko, Martin, Janjua, Naveed, Jarcuska, Peter, Jaroszewicz, Jerzy, Jerkeman, Anna, Jeruma, Agita, Jia, Jidong, Jonasson, Jon G, Kåberg, Martin, Kaita, Kelly D E, Kaliaskarova, Kulpash S, Kao, Jia-Horng, Kasymov, Omor T, Kelly-Hanku, Angela, Khamis, Faryal, Khamis, Jawad, Khan, Aamir G, Khandu, Lekey, Khoudri, Ibtissam, Kielland, Knut B, Kim, Do Young, Kodjoh, Nicolas, Kondili, Loreta A, Krajden, Mel, Krarup, Henrik Bygum, Kristian, Pavol, Kwon, Jisoo A, Lagging, Martin, Laleman, Wim, Lao, Wai Cheung, Lavanchy, Daniel, Lázaro, Pablo, Lazarus, Jeffrey V, Lee, Alice U, Lee, Mei-Hsuan, Li, Michael K K, Liakina, Valentina, Lim, Young-Suk, Löve, Arthur, Lukšić, Boris, Machekera, Shepherd Mufudzi, Malu, Abraham O, Marinho, Rui T, Maticic, Mojca, Mekonnen, Hailemichael D, Mendes-Correa, Maria Cássia, Mendez-Sanchez, Nahum, Merat, Shahin, Meshesha, Berhane Redae, Midgard, Håvard, Mills, Mike, Mohamed, Rosmawati, Mooneyhan, Ellen, Moreno, Christophe, Muljono, David H, Müllhaupt, Beat, Musabaev, Erkin, Muyldermans, Gaëtan, Nartey, Yvonne Ayerki, Naveira, Marcelo C M, Negro, Francesco, Nersesov, Alexander V, Njouom, Richard, Ntagirabiri, Rénovat, Nurmatov, Zuridin S, Obekpa, Solomon A, Oguche, Stephen, Olafsson, Sigurdur, Ong, Janus P, Opare-Sem, Ohene K, Orrego, Mauricio, Øvrehus, Anne L, Pan, Calvin Q, Papatheodoridis, George V, Peck-Radosavljevic, Markus, Pessoa, Mário G, Phillips, Richard O, Pimenov, Nikolay, Plaseska-Karanfilska, Dijana, Prabdial-Sing, Nishi N, Puri, Pankaj, Qureshi, Huma, Rahman, Aninda, Ramji, Alnoor, Razavi-Shearer, Devin M, Razavi-Shearer, Kathryn, Ridruejo, Ezequiel, Ríos-Hincapié, Cielo Y, Rizvi, S M Shahriar, Robaeys, Geert K M M, Roberts, Lewis R, Roberts, Stuart K, Ryder, Stephen D, Sadirova, Shakhlo, Saeed, Umar, Safadi, Rifaat, Sagalova, Olga, Said, Sanaa S, Salupere, Riina, Sanai, Faisal M, Sanchez-Avila, Juan F, Saraswat, Vivek A, Sarrazin, Christoph, Sarybayeva, Gulya, Seguin-Devaux, Carole, Sharara, Ala I, Sheikh, Mahdi, Shewaye, Abate B, Sievert, William, Simojoki, Kaarlo, Simonova, Marieta Y, Sonderup, Mark W, Spearman, C Wendy, Sperl, Jan, Stauber, Rudolf E, Stedman, Catherine A M, Su, Tung-Hung, Suleiman, Anita, Sypsa, Vana, Tamayo Antabak, Natalia, Tan, Soek-Siam, Tergast, Tammo L, Thurairajah, Prem H, Tolmane, Ieva, Tomasiewicz, Krzysztof, Tsereteli, Maia, Uzochukwu, Benjamin S C, Van De Vijver, David A M C, Van Santen, Daniela K, Van Vlierberghe, Hans, Van Welzen, Berend, Vanwolleghem, Thomas, Vélez-Möller, Patricia, Villamil, Federico, Vince, Adriana, Waheed, Yasir, Weis, Nina, Wong, Vincent W-S, Yaghi, Cesar G, Yesmembetov, Kakharman, Yosry, Ayman, Yuen, Man-Fung, Yunihastuti, Evy, Zeuzem, Stefan, Zuckerman, Eli, and Razavi, Homie A

Published
2022
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47. Changes in the prevalence of hepatitis B and C viral infections in Sindh province, Pakistan: Findings from two sero‐surveys in 2007 and 2019.

Author

Alamneh, Tesfa Sewunet, Walker, Josephine G., Lim, Aaron G., Alam, Ejaz, Hamid, Saeed, Foster, Graham R., Choudhry, Naheed, Ansari, M. Azim, Qureshi, Huma, and Vickerman, Peter

Subjects
HEPATITIS C virus, HEPATITIS B virus, DISEASE prevalence, VIRUS diseases, HEPATITIS B
Abstract

Pakistan harbours a large burden of hepatitis B virus (HBV) and hepatitis C virus (HCV) infection. We utilised repeat sero‐surveys to assess progress achieved towards hepatitis elimination in Pakistan. Multilevel logistic regression evaluated the change in HBV infection (HBV surface antigen (HBsAg)‐positive) prevalence and HCV exposure (HCV antibody (HCV‐Ab)‐positive) prevalence between two sero‐surveys from 2007 and 2019 for Sindh province and associated risk factors. Adjusted odds ratios (aORs) were estimated and population‐attributable fractions (PAF) for modifiable risk factors for HCV exposure. The 2007 and 2019 surveys included 8855 and 6672 individuals. HBsAg prevalence decreased from 2.6% (95% confidence intervals (95% CI): 2.2–2.9) in 2007 to 1.1% (95% CI: 0.8–1.3) in 2019, while HCV‐Ab prevalence increased from 5.1% (95% CI: 4.6%–5.5%) to 6.2% (95% CI: 5.6%–6.8%). The age and gender‐adjusted HBsAg prevalence decreased by 80% (aOR = 0.2, 95% CI: 0.1–0.4) among children and 60% (aOR = 0.4, 95% CI: 0.3–0.6) among adults over 2007–2019, while HCV‐Ab prevalence decreased by 60% (aOR = 0.4, 95%CI:0.2–0.7) in children and increased by 40% (aOR = 1.4, 95% CI: 1.2–1.7) in adults. HCV‐Ab prevalence was lower in adults with secondary (aOR = 0.6, 95% CI: 0.5–0.8) and higher (aOR = 0.5, 95%CI:0.3–0.8) education compared to illiterates and higher among adults reporting blood transfusion (aOR = 1.7, 95% CI: 1.2–2.4), family history of hepatitis (aOR = 2.5, 95% CI: 1.9–3.3), past year medical injection (aOR = 2.1, 95% CI: 1.6–2.7), being tattooed (aOR = 1.4, 95% CI: 1.0–1.9) and shaved by traditional barber (aOR = 1.2, 95% CI: 1.0–1.5). Modifiable risk factors accounted for 45% of HCV exposure, with medical injection(s) accounting for 38% (95%CI,25.7–48.4%). Overall HCV has increased over 2007–2019 in Sindh province, while HBV prevalence has decreased. Medical injections should be an important focus of prevention activities. [ABSTRACT FROM AUTHOR]

Published
2024
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48. Sulconazole-Loaded Solid Lipid Nanoparticles for Enhanced Antifungal Activity: In Vitro and In Vivo Approach

Author

Ayesha Samee, Faisal Usman, Tanveer A. Wani, Mudassir Farooq, Hamid Saeed Shah, Ibrahim Javed, Hassan Ahmad, Riffat Khan, Seema Zargar, and Safina Kausar

Subjects
sulconazole, solid lipid nanoparticles, anti-fungal gel, histopathology, Organic chemistry, QD241-441
Abstract

Solid lipid nanoparticles (SLNs) have the advantages of a cell-specific delivery and sustained release of hydrophobic drugs that can be exploited against infectious diseases. The topical delivery of hydrophobic drugs needs pharmaceutical strategies to enhance drug permeation, which is a challenge faced by conventional formulations containing a drug suspended in gel, creams or ointments. We report the fabrication and optimization of SLNs with sulconazole (SCZ) as a model hydrophobic drug and then a formulation of an SLN-based topical gel against fungal infections. The SLNs were optimized through excipients of glyceryl monostearate and Phospholipon® 90 H as lipids and tween 20 as a surfactant for its size, drug entrapment and sustained release and resistance against aggregation. The SCZ-SLNs were physically characterized for their particle size (89.81 ± 2.64), polydispersity index (0.311 ± 0.07), zeta potential (−26.98 ± 1.19) and encapsulation efficiency (86.52 ± 0.53). The SCZ-SLNs showed sustained release of 85.29% drug at the 12 h timepoint. The TEM results demonstrated spherical morphology, while DSC, XRD and FTIR showed the compatibility of the drug inside SLNs. SCZ-SLNs were incorporated into a gel using carbopol and were further optimized for their rheological behavior, pH, homogeneity and spreadability on the skin. The antifungal activity against Candida albicans and Trichophyton rubrum was increased in comparison to a SCZ carbopol-based gel. In vivo antifungal activity in rabbits presented faster healing of skin fungal infections. The histopathological examination of the treated skin from rabbits presented restoration of the dermal architecture. In summary, the approach of formulating SLNs into a topical gel presented an advantageous drug delivery system against mycosis.

Published
2023
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49. Docetaxel-Loaded Methoxy poly(ethylene glycol)-poly (L-lactic Acid) Nanoparticles for Breast Cancer: Synthesis, Characterization, Method Validation, and Cytotoxicity

Author

Shumaila Miraj, Hamid Saeed, Mehwish Iqtedar, Norah A. Albekairi, Nadeem Ahmed, Muhammad Zeeshan Danish, Muhammad Islam, Muhammad Fawad Rasool, Kashif Mairaj Deen, and Hassaan Anwer Rathore

Subjects
docetaxel, mPEG-PLA, nanoparticles, breast cancer, validation method, Medicine, Pharmacy and materia medica, RS1-441
Abstract

This study aimed to synthesize and characterize DTX-mPEG-PLA-NPs along with the development and validation of a simple, accurate, and reproducible method for the determination and quantification of DTX in mPEG-PLA-NPs. The prepared NPs were characterized using AFM, DLS, zetasizer, and drug release kinetic profiling. The RP-HPLC assay was developed for DTX detection. The cytotoxicity and anti-clonogenic effects were estimated using MTT and clonogenic assays, respectively, using both MCF-7 and MDA-MB-231 cell lines in a 2D and 3D culture system. The developed method showed a linear response, high precision, accuracy, RSD values of ≤2%, and a tailing factor ≤2, per ICH guidelines. The DTX-mPEG-PLA-NPs exhibited an average particle size of 264.3 nm with an encapsulation efficiency of 62.22%. The in vitro drug kinetic profile, as per the Krosmeyers–Peppas model, demonstrated Fickian diffusion, with initial biphasic release and a multistep sustained release over 190 h. The MTT assay revealed improved in vitro cytotoxicity against MCF-7 and MDA-MB-231 in the 2D cultures and MCF-7 3D mammosphere cultures. Significant inhibitions of the clonogenic potential of MDA-MB-231 were observed for all concentrations of DTX-mPEG-PLA-NPs. Our results highlight the feasibility of detecting DTX via the robust RP-HPLC method and using DTX-mPEG-PLA-NPs as a perceptible and biocompatible delivery vehicle with greater cytotoxic and anti-clonogenic potential, supporting improved outcomes in BC.

Published
2023
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50. Sorghum Flour and Sorghum Flour Enriched Bread: Characterizations, Challenges, and Potential Improvements

Author

Saeed Hamid Saeed Omer, Jing Hong, Xueling Zheng, and Reham Khashaba

Subjects
sorghum, sorghum rheology, sorghum flour, sorghum composite bread, flour improvement, sorghum bread properties, Chemical technology, TP1-1185
Abstract

A Sorghum flour (SF) is a leading and prominent food source for humans in African countries. Recently extensive studies have been conducted on Sorghum bread (SB) or sorghum composite bread (SCB), covering various aspects. However, there are many technical challenges in the formation of SF and sorghum composite flour (SCF) that impact the quality of the bread and fail to meet the consumer’s desires and expectations. This review primarily focuses on the characteristics of SF, SCF, SB, and SCB, with discussions encompassing the rheological and morphological properties of the dough, improvement strategies, and bread quality. Moreover, a comprehensive analysis has been conducted to investigate the behavior of SF and SCF along with a discussion of the challenges affecting bread quality and the strategies applied for improvement. The significant demand for nutrients-rich and gluten-free bread indicates that sorghum will become one of the most vital crops worldwide. However, further comprehensive research is highly demanded and necessary for an in-depth understanding of the key features of SF and the resulting bread quality. Such understanding is vital to optimize the utilization of sorghum grain in large-scale bread production.

Published
2023
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