Evidence map›Paper›PMID 42111352›Full record

ArticleFrontiers in physiology2026

Changes in cardio-respiratory-vascular coupling dynamics across altitude gradients: a shift from linear synchrony to nonlinear complexity.

Hongyun Liu, Shijing Wu, Ping Zhan, Xiaohua Yu, Yiming Kuang, Yi Han, Hongyue Zu, Guojing Wang, Weidong Wang

Abstract read
In one paragraph

Article in Frontiers in physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Hongyun LiuMedical Innovation Research Division, Chinese People's Liberation Army (PLA), General Hospital, Beijing, China.
Shijing WuMedical Innovation Research Division, Chinese People's Liberation Army (PLA), General Hospital, Beijing, China.
Ping ZhanMedical Innovation Research Division, Chinese People's Liberation Army (PLA), General Hospital, Beijing, China.
Xiaohua YuMedical Innovation Research Division, Chinese People's Liberation Army (PLA), General Hospital, Beijing, China.
Yiming KuangMedical Innovation Research Division, Chinese People's Liberation Army (PLA), General Hospital, Beijing, China.
Yi HanMedical Innovation Research Division, Chinese People's Liberation Army (PLA), General Hospital, Beijing, China.
Hongyue ZuMedical Innovation Research Division, Chinese People's Liberation Army (PLA), General Hospital, Beijing, China.
Guojing WangMedical Innovation Research Division, Chinese People's Liberation Army (PLA), General Hospital, Beijing, China.
Weidong WangMedical Innovation Research Division, Chinese People's Liberation Army (PLA), General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Prolonged high-altitude hypoxia induces acclimatization-related changes of multiple human physiological systems. The cardio-respiratory-vascular (CRV) coupling system, a core homeostasis-maintaining integrative mechanism, has incompletely elucidated altitude-acclimatization-related patterns. This study aimed to systematically explore CRV coupling and related physiological parameter changes across a broad altitude range in long-term acclimatized individuals. Methods: A multicenter cross-sectional study was conducted across five altitude gradients (HA0: <100 m, n=62; HA1: 1300 m, n=74; HA2: 3700 m, n=60; HA3: 4300 m, n=71; HA4: 5100 m, n=74). Synchronous electrocardiogram, hemodynamic, and respiratory signals were collected from healthy adults with ≥3 months of acclimatization. CRV coupling strength and complexity were computed, integrated with heart rate variability (HRV), hemodynamic, and respiratory parameters for analysis, with a HA4-specific physiological correlation network constructed. Results: CRV coupling strength showed altitude-dependent attenuation, while complexity increased with elevation. At HA4, HRV indices changed distinctly: Mean RR, logHF, and SampEn decreased (P<0.0001), and LF/HF increased (P<0.0001). SpO Discussion: Long-term high-altitude acclimatization is characterized by a regulatory shift of the CRV system from strength-dominant linear synchrony to complexity-prioritized nonlinear flexibility. Extreme hypoxia may trigger enhanced nonlinear interactions to compensate for reduced linear synchrony, relying on respiratory rhythm stabilization and precise autonomic balance modulation. The findings may provide novel insights into the integrated physiology of high-altitude acclimatization.

Indexed as

altitude gradientautonomic regulationcardio-respiratory-vascular couplinghypoxic stresslong-term high-altitude acclimatization

Identifiers

PMID42111352
PMCPMC13149141

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.