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  1. 5061

    Exosome‐derived long non‐coding RNA AC010789.1 modified by FTO and hnRNPA2B1 accelerates growth of hair follicle stem cells against androgen alopecia by activating S100A8/Wnt/β‐cat... by Shaojun Chu, Lingling Jia, Yulong Li, Jiachao Xiong, Yulin Sun, Qin Zhou, Dexiang Du, Zihan Li, Xin Huang, Hua Jiang, Baojin Wu, Yufei Li

    Published 2025-01-01
    “…Abstract Background The increased incidence of androgenic alopecia (AGA) causes adverse physiological and psychological effects on people of all genders. The hair follicle stem cells (HFSCs) have displayed clinical improvements on AGA. …”
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  2. 5062

    Enhancing reproductive capacity in hybrid Red Tilapia (Oreochromis niloticus ×‎ O. mossambicus) via dietary administration of date palm pollen (Phoenix dactylifera L.)‎ by Nashi K. Alqahtani, Hesham S. Ghazzawy, Roshmon Thomas Mathew, Yousef‎ Ahmed Alkhamis, Rashid Saleh Alngada, Moaheda E.H. Eissa, Sameh A. Abdelnour, Sara F. Ghanem, Layla A. Almutairi, El-Sayed Hemdan Eissa

    Published 2025-04-01
    “…The gonadal histology demonstrated that DPP boosted gonad maturation histo-structure in both genders of Tilapia fish. This study demonstrates that dietary administration of DPP can significantly enhance reproductive performance in Red Tilapia by upregulating the expression of key reproductive genes and improving overall health status. …”
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  3. 5063

    Dynamic changes and future trend predictions of the global burden of anxiety disorders: analysis of 204 countries and regions from 1990 to 2021 and the impact of the COVID-19 pande... by Si Chen, Wei Huang, Min Zhang, Yan Song, Chunshan Zhao, Hongwei Sun, Yanyu Wang, Jihong Wang, Yali Sun, Lei Zhou, Yan Zhu, HongYuan Wang, ZhengYang Xu, YuRui Bai, Cheng Chang

    Published 2025-01-01
    “…Methods: We analysed data from the GBD 2021 study, employed the GBD method to integrate epidemiological data on ASPR, ASIR, and DALYs to accurately assess the global burden of anxiety disorders across various regions, genders, and age groups. Additionally, joint point regression analysis was applied to rigorously examine the time trends of anxiety disorders from 1990 to 2021, calculating the annual percentage change (APC), annual average percentage change (AAPC), and their corresponding 95% confidence intervals (CIs). …”
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