血液検査で多重疾患リスクを予測(Blood test reveals risk of multimorbidity)

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2026-01-07 カロリンスカ研究所(KI)

スウェーデンのカロリンスカ研究所(KI)の研究チームは、血液検査によって将来のマルチモビディティ(複数の慢性疾患を同時に抱える状態)のリスクを予測できる可能性を示した。研究では中高年集団の長期データを解析し、炎症、代謝、免疫調節に関わる複数の血中バイオマーカーの組み合わせが、心血管疾患、糖尿病、神経疾患など複数疾患の同時発症リスクと強く関連することを明らかにした。特に慢性炎症や生物学的老化を反映する指標が高い人ほど、加齢とともに疾患を重ねて発症する傾向が顕著だった。これにより、症状が現れる前段階で高リスク群を特定し、生活習慣改善や予防的介入を早期に行う道が開ける。マルチモビディティの予測と予防医療を前進させる重要な成果といえる。

<関連情報>

多疾患に対する共通および特異的血液バイオマーカー Shared and specific blood biomarkers for multimorbidity

Alice Margherita Ornago,Caterina Gregorio,Federico Triolo,Ann Zenobia Moore,Alessandra Marengoni,Giorgi Beridze,Giulia Grande,Giuseppe Bellelli,Matilda Dale,Claudia Fredolini,Luigi Ferrucci,Laura Fratiglioni,Amaia Calderón-Larrañaga & Davide Liborio Vetrano
Nature Medicine  Published:02 January 2026
DOI:https://doi.org/10.1038/s41591-025-04038-2

血液検査で多重疾患リスクを予測(Blood test reveals risk of multimorbidity)

Abstract

Aging is accompanied by the progressive accumulation of biological deficits, which increases susceptibility to developing multiple chronic diseases (that is, multimorbidity). The biological underpinnings of multimorbidity remain poorly understood. Here we analyzed 54 blood biomarkers reflecting inflammatory, vascular, metabolic and neurodegenerative processes in 2,247 individuals aged 60 and over from the Swedish National Study on Aging and Care in Kungsholmen. Multimorbidity was assessed using three measures: baseline total disease count, baseline multimorbidity patterns identified through latent class analysis and 15-year rate of disease accumulation. Associations between baseline biomarkers and multimorbidity measures were examined using least absolute shrinkage and selection operator regression. Growth differentiation factor 15, hemoglobin A1c, cystatin C, leptin and insulin were consistently and positively associated with all multimorbidity measures. Additional biomarkers demonstrated specific associations with distinct multimorbidity patterns. Moreover, faster disease accumulation was directly associated with gamma-glutamyl transferase and inversely with albumin. Longitudinal results were externally validated in 522 participants from the Baltimore Longitudinal Study of Aging, with comparable predictive accuracy. Our findings suggest that multiple biological processes contribute to multimorbidity through shared and distinct mechanisms. Metabolic disturbances emerged as a key driver of multimorbidity. If confirmed, these processes could represent targets for interventions to mitigate disease accumulation.

医療・健康
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