Evidence map›Paper›PMID 42910211›Full record

ReviewInternational journal of biological sciences2026

Cross-cutting circuits in heart failure with preserved ejection fraction: Integrating adipokine biology, mechanotransduction, and precision targeting.

KaiJian Zhang, Hui Li, Wei Wen, BuChun Zhang

Abstract readReview
In one paragraph

Review in International journal of biological sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

KaiJian ZhangDepartment of Cardiology, Ma'anshan People's Hospital, Wannan Medical University, Anhui Ma'anshan, 243099, China.
Hui LiGraduate School, Wannan Medical University, Anhui Wuhu, 241002, China.
Wei WenDepartment of Cardiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Anhui Hefei, 230001, China.
BuChun ZhangDepartment of Cardiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Anhui Hefei, 230001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Heart failure with preserved ejection fraction (HFpEF) accounts for half of all heart failure cases. However, its complex pathophysiology, which is characterized by bidirectional interactions among immune, metabolic, and mechanical pathways, has long resisted a simple explanation. Approach: Rather than listing parallel mechanisms, this review organizes recent breakthroughs around three cross-cutting frontiers: neuroimmune regulation, cell-type-specific metabolic reprogramming, and mechanotransduction. It then integrates these frontiers within the adipokine hypothesis. Key findings: Cardiac macrophage subset imbalance, myeloid fatty acid-driven inflammation, matrix stiffness-mediated feedforward loops, and adipokine imbalance have emerged as interconnected drivers of HFpEF. Conclusion: With the aid of multi-omics and machine learning, mapping these mechanistic dialogues onto phenotype-targeted precision therapy provides a roadmap for transforming HFpEF from a syndrome defined by ejection fraction into molecularly tractable endotypes.

Indexed as

AdipokinesHeart FailureMechanotransduction, CellularStroke VolumeAnimalsHumansAdipokinesadipokine hypothesisheart failure with preserved ejection fractionmacrophage heterogeneitymechanotransductionneuroimmune regulation

Identifiers

PMID42910211
PMCPMC13685608

What OpenQuestion holds

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Registered trials

None linked

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.