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腕温的昼夜节律与英国生物库未来的疾病风险有关。

Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank.

机构信息

Institute for Translational Medicine and Therapeutics (ITMAT), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.

Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.

出版信息

Nat Commun. 2023 Aug 24;14(1):5172. doi: 10.1038/s41467-023-40977-5.

Abstract

Many chronic disease symptomatologies involve desynchronized sleep-wake cycles, indicative of disrupted biorhythms. This can be interrogated using body temperature rhythms, which have circadian as well as sleep-wake behavior/environmental evoked components. Here, we investigated the association of wrist temperature amplitudes with a future onset of disease in the UK Biobank one year after actigraphy. Among 425 disease conditions (range n = 200-6728) compared to controls (range n = 62,107-91,134), a total of 73 (17%) disease phenotypes were significantly associated with decreased amplitudes of wrist temperature (Benjamini-Hochberg FDR q < 0.05) and 26 (6.1%) PheCODEs passed a more stringent significance level (Bonferroni-correction α < 0.05). A two-standard deviation (1.8° Celsius) lower wrist temperature amplitude corresponded to hazard ratios of 1.91 (1.58-2.31 95% CI) for NAFLD, 1.69 (1.53-1.88) for type 2 diabetes, 1.25 (1.14-1.37) for renal failure, 1.23 (1.17-1.3) for hypertension, and 1.22 (1.11-1.33) for pneumonia (phenome-wide atlas available at http://bioinf.itmat.upenn.edu/biorhythm_atlas/ ). This work suggests peripheral thermoregulation as a digital biomarker.

摘要

许多慢性疾病的症状都涉及到睡眠-觉醒周期的失同步,表明生物节律紊乱。这可以通过体温节律来检测,体温节律既有昼夜节律成分,也有睡眠-觉醒行为/环境诱发成分。在这里,我们研究了腕部温度振幅与英国生物库(UK Biobank)在活动记录仪检测一年后未来疾病发病的关联。在所比较的 425 种疾病(范围 n=200-6728)与对照组(范围 n=62107-91134)中,共有 73 种(17%)疾病表型与腕部温度振幅降低显著相关(Benjamini-Hochberg FDR q<0.05),26 种(6.1%)PheCode 通过了更严格的显著性水平(Bonferroni 校正α<0.05)。腕部温度振幅降低两个标准差(1.8°C),对应于非酒精性脂肪性肝病(NAFLD)的危险比为 1.91(95%置信区间 1.58-2.31),2 型糖尿病为 1.69(1.53-1.88),肾衰竭为 1.25(1.14-1.37),高血压为 1.23(1.17-1.3),肺炎为 1.22(1.11-1.33)(表型广泛图谱可在 http://bioinf.itmat.upenn.edu/biorhythm_atlas/ 获得)。这项工作表明外周体温调节是一种数字生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/007e/10449859/09ca6f5e20a6/41467_2023_40977_Fig1_HTML.jpg

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