Probing the transcriptome response to shivering in skeletal muscle using a multilayered bioinformatics approach
Kalkhoven, E.; Baak, R. E.; Hooiveld, G. J. E. J.; Schrauwen, P.; Hoeks, J.; Raymakers, R.; van der Stolpe, A.; Kersten, S. · bioinformatics · 2026-09-04 · 原文
DOI：10.64898/2026.08.27.747657作者：8 位
Cold acclimation holds therapeutic potential for improving metabolic health. We previously demonstrated that repeated cold-induced shivering enhances insulin sensitivity in humans. However, the molecular pathways that underlie the skeletal muscle shivering response, and how these relate to beneficial physiological effects, remain poorly understood. In this study, we combined complementary bioinformatics approaches to allow in-depth analysis of the transcriptomic response of human skeletal muscle to repeated shivering. We identified a robust transcriptional signature and show a sex-specific component in the shivering skeletal muscle response, which seemed to diminish following cold adaptation. Our findings provide mechanistic insights into cold-induced muscle adaptations, shed light on potential interesting molecular targets for further investigation, and emphasize the importance of including both sexes in future cold acclimation studies.
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1. 人话版
Cold acclimation holds therapeutic potential for improving metabolic health.
We previously demonstrated that repeated cold-induced shivering enhances insulin sensitivity in humans.
2. 领域脉络
本文类目：bioinformatics，属于其所在研究脉络的最新进展。
3. 机制拆解
In this study, we combined complementary bioinformatics approaches to allow in-depth analysis of the transcriptomic response of human skeletal muscle to repeated shivering.
We identified a robust transcriptional signature and show a sex-specific component in the shivering skeletal muscle response, which seemed to diminish following cold adaptation.
4. 证据与数字
摘要未给出量化结果——留意原文的实验与数据。
5. 反例与边界
However, the molecular pathways that underlie the skeletal muscle shivering response, and how these relate to beneficial physiological effects, remain poorly understood.
6. 跨领域连接与意外收获
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7. 可复用方法
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