血液中の微粒子が「腎臓病」と「心血管病」の将来のリスクを予言する~細胞外小胞内マイクロRNAの解析により慢性腎臓病と合併症リスクを高精度に予測する新技術を開発~

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2025-12-11 東京科学大学

東京科学大学らの研究チームは、血液中の小型細胞外小胞(EV)に含まれるマイクロRNAを網羅解析し、慢性腎臓病(CKD)および心血管合併症の将来リスクを高精度に予測する新技術を開発した。CKD患者のEV内で不足する特定の3種(let-7d-5p, miR-24-3p, miR-126-3p)を用いた予測式「M3」は、腎機能30%低下や透析導入を的確に予測し、さらにシスタチンCと尿蛋白を加えた改良版「M3V2」は死亡や心血管イベントも高精度で予測した。従来のeGFRや尿蛋白より優れ、CKD原因や心疾患の有無に依存せず普遍的に有効であった。EV内マイクロRNAは心腎代謝連関のセーフガードとして働く可能性が示され、CKMシンドローム理解と個別化医療に貢献する技術となる。

血液中の微粒子が「腎臓病」と「心血管病」の将来のリスクを予言する~細胞外小胞内マイクロRNAの解析により慢性腎臓病と合併症リスクを高精度に予測する新技術を開発~
図1.本研究の構成と得られた成果の概要

<関連情報>

循環細胞外小胞マイクロRNAは腎臓および心血管イベントの予測バイオマーカーとして Circulating Extracellular Vesicle MicroRNAs as Predictive Biomarkers for Kidney and Cardiovascular Events

Shunsuke Inaba, MD, Takanori Hasegawa, PhD, Yuta Nakano, MD, PhD, Shotaro Naito, MD, PhD, Rena Suzukawa, Takaaki Koide, MD, PhD, Hisateru Sekiya, …, and Shintaro Mandai, MD, PhD
Journal of the American Heart Association  Published: 10 December 2025
DOI:https://doi.org/10.1161/JAHA.125.045148

Abstract

Background

Chronic kidney disease (CKD) leads to premature mortality from cardiovascular events before kidney replacement therapy. Despite recognition of syndromes like cardiorenal anemia and cardiovascular‐kidney‐metabolic, predictive models for kidney and cardiovascular outcomes remain inadequate. This study aimed to develop a minimally invasive, risk model using circulating small extracellular vesicle‐derived miRNAs among patients with CKD.

Methods

A derivation cohort (n=36) underwent microarray‐based miRNA profiling, and a least absolute shrinkage and selection operator‐penalized Cox proportional hazards model was constructed. Validation was performed using TaqMan quantitative polymerase chain reaction in a cohort of 234 patients with CKD without kidney replacement therapy. The primary outcome was a ≥30% reduction in estimated glomerular filtration rate or progression to kidney replacement therapy. The secondary outcome included all‐cause mortality, kidney replacement therapy initiation, and major adverse cardiovascular events.

Results

In the derivation cohort, 36% of patients had hypertensive glomerulosclerosis as the underlying CKD cause, increasing to 48% in the validation cohort. Twenty‐three miRNAs were significantly downregulated in advanced CKD, associated with cellular senescence, FOXO (forkhead box, class O) signaling, and cell cycle pathways. From these, 3 miRNAs—hsa‐let‐7d‐5p, hsa‐miR‐24‐3p, and hsa‐miR‐126‐3p—were selected and integrated into the final risk score with cystatin C and urinary protein levels, following optimization in the validation cohort. Lower miRNA levels were linked to cardiovascular comorbidities and cardiorenal anemia syndrome. Over a median follow‐up of 39 and 59 months, 108 kidney events and 70 composite outcomes occurred. The model effectively predicted adverse outcomes across CKD causes, further stratifying risk within cardiovascular‐kidney‐metabolic stage classifications.

Conclusions

Circulating small extracellular vesicle‐derived miRNA profiles enable a noninvasive, longitudinally predictive model for adverse kidney and cardiovascular outcomes in CKD. This approach may improve early risk identification and clinical decision‐making.

生物化学工学
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