Evidence map›Paper›PMID 41676281›Full record

ReviewAmerican journal of translational research2026

Micro Zhēngjiǎ as a reversible microstructural lesion network in diabetic myocardial fibrosis: mechanistic insights and therapeutic implications of Huoxue-Tongluo therapy.

Yilin Wang, Shengnan Li

Abstract readReview
In one paragraph

Review in American journal of translational research, 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

2 authors.

Yilin WangCollege of Rehabilitation Medicine, Shandong University of Traditional Chinese Medicine Jinan 250355, Shandong, China.
Shengnan LiDepartment of Endocrinology, The Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine Jinan 250001, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic myocardial fibrosis (DMF) is a prominent pathological process that leads to the progression of diabetic heart disease, and yet the underlying mechanisms have not been properly clarified. Recently, a new paradigm called Micro Zhēngjiǎ lesion has been implicated, with microstructural changes in the myocardial capillaries being indicated as critical factors in the development of diabetic fibrosis. The purpose of the review is to investigate the mechanistic basis of the Micro Zhēngjiǎ lesion in DMF and its implications across tissue, cellular, and molecular levels. This article summarizes findings from histological and imaging studies, which show the structural and functional impairments of the myocardial extracellular space, as well as dysregulation of fibrosis-related signaling pathways, in the diabetic heart. Moreover, potential treatment interventions are reviewed, especially Huoxue-Tongluo therapy. This approach, which aims to activate blood circulation and dredge collaterals, combines traditional Chinese medicine with modern pharmacological principles to reverse the development of DMF. By targeting major inflammatory mediators, improving microcirculation, and regulating fibroblast activation, Huoxue-Tongluo therapy has the potential to be used as an alternative or complementary approach to conventional therapy. The review proves the translational potential of the given therapeutic paradigm and suggests future research directions to investigate the multifaceted interplay of microstructural lesions, metabolic dysfunction, and fibrosis in the diabetic heart in depth.

Indexed as

cardiometabolic mechanismDiabetic myocardial fibrosisHuoxue-Tongluo therapmicrostructural remodelingmicro Zhēngjiǎ lesion

Identifiers

PMID41676281
PMCPMC12886093

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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.