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Unlocking thermogenic silencers for the treatment of metabolic disease 解锁热源消声器用于治疗代谢疾病
Pub Date : 2025-12-03 DOI: 10.1016/j.tem.2025.11.002
Leah D’Silva, Chloe Cheng, Joeva J. Barrow
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引用次数: 0
Muscle regeneration: myofibers and fat jostle for position 肌肉再生:肌纤维和脂肪争夺位置
Pub Date : 2025-11-21 DOI: 10.1016/j.tem.2025.10.007
Amandine Girousse, Virginie Bourlier, Coralie Sengenès
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引用次数: 0
Run for your sons: paternal exercise boosts offspring fitness 为你的儿子跑步:父亲的运动促进后代的健康
Pub Date : 2025-11-21 DOI: 10.1016/j.tem.2025.10.006
Alexandra E. Schneider, Colin C. Conine
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引用次数: 0
Single-cell imaging of liver metabolic dynamics using fluorescent biosensors 使用荧光生物传感器的肝脏代谢动力学单细胞成像
Pub Date : 2025-11-10 DOI: 10.1016/j.tem.2025.10.003
Israel Pérez-Chávez, Eduardo H. Gilglioni, Daria Ezeriņa, Joris Messens, Esteban N. Gurzov
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引用次数: 0
Advisory Board and Contents 咨询委员会及内容
Pub Date : 2025-11-03 DOI: 10.1016/s1043-2760(25)00229-2
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引用次数: 0
Subscription and Copyright Information 订阅及版权资料
Pub Date : 2025-11-03 DOI: 10.1016/s1043-2760(25)00232-2
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引用次数: 0
Tanycytes: bloodhounds of the metabolic brain 伸长细胞:新陈代谢大脑的猎犬
Pub Date : 2025-11-01 DOI: 10.1016/j.tem.2025.10.005
Beatriz Rodriguez-Cortes, Ricardo Gomez-Martínez, Rachel Spenle, Markus Schwaninger, Ruben Nogueiras, Sowmyalakshmi Rasika, Vincent Prevot
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引用次数: 0
MASLD in childhood as a multisystem health challenge beyond the liver 儿童期MASLD是肝脏以外的多系统健康挑战
Pub Date : 2025-10-28 DOI: 10.1016/j.tem.2025.10.001
Marica Esposito, Ida Rimauro, Vittoria Frattolillo, Gianmario Forcina, Pierluigi Marzuillo, Emanuele Miraglia del Giudice, Anna Di Sessa
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引用次数: 0
Adrenalectomy is underused: a call to reduce mortality. 肾上腺切除术未得到充分利用:呼吁降低死亡率。
Pub Date : 2025-10-27 DOI: 10.1016/j.tem.2025.10.004
Tobias Carling
Adrenal tumors driving hormone excess, like primary aldosteronism, Cushing syndrome, and pheochromocytoma, claim thousands of lives yearly; yet, adrenalectomy remains underused despite its lifesaving potential. Ideal surgical rates in the USA, UK, and Sweden could prevent tens of thousands of deaths, rivaling cancer operations' impact. Urgent screening reforms are needed.
肾上腺肿瘤导致激素过量,如原发性醛固酮增多症、库欣综合征和嗜铬细胞瘤,每年夺去数千人的生命;然而,尽管肾上腺切除术具有挽救生命的潜力,但仍未得到充分利用。在美国、英国和瑞典,理想的手术率可以避免成千上万的死亡,与癌症手术的影响相媲美。筛查改革迫在眉睫。
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引用次数: 0
In silico prediction of endocrine activity. 内分泌活动的计算机预测。
Pub Date : 2025-10-25 DOI: 10.1016/j.tem.2025.09.011
Daan A Jiskoot,Jeroen L A Pennings,Willie J G M Peijnenburg,Gerard J P van Westen,Willem Jespers,Pim N H Wassenaar
Endocrine-disrupting chemicals (EDCs) pose health risks; yet, conventional in vitro and in vivo testing remains slow, costly, and animal-intensive. Enhanced use of in silico approaches can contribute to earlier and increased detection of potential EDCs. This review evaluates advances in computational toxicology for early identification and prioritization of EDCs, with a focus on estrogen, androgen, thyroid, and steroidogenesis pathways. We discuss various implementations of ligand- and structure-based approaches, covering machine learning, deep learning, docking, molecular dynamics, and free energy methods, as well as their application in a regulatory setting. Moreover, we outline the future prospects necessary to advance the field and improve the in silico identification of potential EDCs.
干扰内分泌的化学物质(EDCs)构成健康风险;然而,传统的体外和体内测试仍然是缓慢、昂贵和动物密集的。加强使用计算机方法可以有助于早期和增加检测潜在的EDCs。这篇综述评估了计算毒理学在早期识别和优先排序EDCs方面的进展,重点是雌激素、雄激素、甲状腺和类固醇生成途径。我们讨论了各种基于配体和结构的方法的实现,包括机器学习,深度学习,对接,分子动力学和自由能方法,以及它们在监管环境中的应用。此外,我们概述了推进该领域和改进潜在EDCs的硅识别所必需的未来前景。
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引用次数: 0
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Trends in Endocrinology & Metabolism
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