日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Retinoid X receptor alpha overexpression protects retinal ganglion cells and modulates inflammatory response in experimental glaucoma.

视黄醇X受体α过度表达可保护视网膜神经节细胞并调节实验性青光眼的炎症反应。

Chitranshi Nitin, Basavarajappa Devaraj, Palanivel Viswanthram, Parrilla Gabriella E, Gupta Veer, Paulo Joao A, Salkar Akanksha, Mirzaei Mehdi, Koronyo-Hamaoui Maya, Krezel Wojciech, Graham Stuart L, Gupta Vivek K

Glial and immune dysregulation in glaucoma independent of retinal ganglion cell loss: a human post-mortem histopathology study

青光眼中神经胶质细胞和免疫功能紊乱与视网膜神经节细胞丢失无关:一项人类尸检组织病理学研究

Salkar, Akanksha; Palanivel, Viswanthram; Basavarajappa, Devaraj; Mirzaei, Mehdi; Schulz, Angela; Yan, Peng; Gupta, Vivek; Graham, Stuart; You, Yuyi

Retinoid X receptor agonist 9CDHRA mitigates retinal ganglion cell apoptosis and neuroinflammation in a mouse model of glaucoma.

视黄酸 X 受体激动剂 9CDHRA 可减轻青光眼小鼠模型中的视网膜神经节细胞凋亡和神经炎症

Basavarajappa Devaraj, Chitranshi Nitin, Oddin Mirshahvaladi Seyed Shahab, Gupta Veer B, Palanivel Viswanthram, Parrilla Gabriella E, Salkar Akanksha, Mirzaei Mehdi, Komáromy András M, Krezel Wojciech, Graham Stuart L, Gupta Vivek

Glial Cell Activation and Immune Responses in Glaucoma: A Systematic Review of Human Postmortem Studies of the Retina and Optic Nerve

青光眼中神经胶质细胞活化和免疫反应:视网膜和视神经人类尸检研究的系统综述

Salkar, Akanksha; Wall, Roshana Vander; Basavarajappa, Devaraj; Chitranshi, Nitin; Parilla, Gabriella E; Mirzaei, Mehdi; Yan, Peng; Graham, Stuart; You, Yuyi

Semen proteomics reveals alterations in fertility-related proteins post-recovery from COVID-19

精液蛋白质组学揭示新冠肺炎康复后生育相关蛋白的变化

Dash, Ankita; Salkar, Akanksha; Nissa, Mehar Un; Makwana, Prashant; Athalye, Arundhati; Parikh, Swapneil; Srivastava, Sanjeeva; Parikh, Firuza

Mumbai mayhem of COVID-19 pandemic reveals important factors that influence susceptibility to infection

孟买新冠疫情的混乱局面揭示了影响感染易感性的重要因素

Yadav, Radha; Acharjee, Arup; Salkar, Akanksha; Bankar, Renuka; Palanivel, Viswanthram; Agrawal, Sachee; Shastri, Jayanthi; Sabnis, Sanjeev V; Srivastava, Sanjeeva

Proteomics and Machine Learning Approaches Reveal a Set of Prognostic Markers for COVID-19 Severity With Drug Repurposing Potential

蛋白质组学和机器学习方法揭示了一系列与 COVID-19 严重程度相关的预后标志物,具有药物再利用潜力。

Suvarna, Kruthi; Biswas, Deeptarup; Pai, Medha Gayathri J; Acharjee, Arup; Bankar, Renuka; Palanivel, Viswanthram; Salkar, Akanksha; Verma, Ayushi; Mukherjee, Amrita; Choudhury, Manisha; Ghantasala, Saicharan; Ghosh, Susmita; Singh, Avinash; Banerjee, Arghya; Badaya, Apoorva; Bihani, Surbhi; Loya, Gaurish; Mantri, Krishi; Burli, Ananya; Roy, Jyotirmoy; Srivastava, Alisha; Agrawal, Sachee; Shrivastav, Om; Shastri, Jayanthi; Srivastava, Sanjeeva