Evidence map›Paper›PMID 39816947›Full record

ArticleNational science review2025

Two-dimensional Health State Map to define metabolic health using separated static and dynamic homeostasis features: a proof-of-concept study.

Yanpu Wu, Xinyan Zhang, Liang Sun, Qingqing Wu, Xiaoping Liu, Yueyi Deng, Zhenzhen Lu, Zhongxia Li, Chaoming Deng, Ruikun He and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in National science review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Materials and System Design for Self-Decision Bioelectronic Systems.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  2. Review
4 · The record

Corrections and comments

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

15 authors.

Yanpu WuShanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China.
Xinyan ZhangKey Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China.
Liang SunShanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China.
Qingqing WuKey Laboratory of Systems Biology, Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China.ORCID https://orcid.org/0000-0001-8087-2420
Xiaoping LiuKey Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China.ORCID https://orcid.org/0000-0002-3246-4227
Yueyi DengDepartment of Nephrology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200030, China.
Zhenzhen LuDepartment of Nephrology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200030, China.
Zhongxia LiBYHEALTH Institute of Nutrition & Health, Guangzhou 510799, China.
Chaoming DengBYHEALTH Institute of Nutrition & Health, Guangzhou 510799, China.
Ruikun HeBYHEALTH Institute of Nutrition & Health, Guangzhou 510799, China.
Luyun ZhangDepartment of Nephrology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200030, China.
Rong ZengKey Laboratory of Systems Biology, Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China.
Xuguang ZhangShanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China.
Luonan ChenKey Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China.ORCID https://orcid.org/0000-0002-3960-0068
Xu LinShanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Defining metabolic health is critical for the earlier reversing of metabolic dysfunction and disease, and fasting-based diagnosis may not adequately assess an individual's metabolic adaptivity under stress. We constructed a novel Health State Map (HSM) comprising a Health Phenotype Score (HPS) with fasting features alone and a Homeostatic Resilience Score (HRS) with five time-point features only (

Indexed as

homeostatic resiliencemetabolic healthtwo-dimensional

Identifiers

PMID39816947
PMCPMC11734281

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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.