Evidence map›Paper›PMID 36706988›Full record

ArticleJournal of advanced research2023

Single-cell analysis reveals lysyl oxidase (Lox)

Heyangzi Li, Xiaoqing Zhu, Xi Cao, Yicheng Lu, Jianwei Zhou, Xiaoming Zhang

Open access · goldAbstract read
In one paragraph

Article in Journal of advanced research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
6.9field-weighted citation impact, top 2% of its field
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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
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  6. snRNA-seq identifies Fmo2npj metabolic health and disease · 2026
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  8. Fto-mediated m6A demethylation of Lox drives atrial fibrosis and promotes atrial fibrillation in a murine model of hyperthyroidism.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026
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  18. Integrating Senescence and Oxidative Stress in Cardiac Disease.International journal of molecular sciences · 2025
    Review
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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

6 authors at 1 institution in 1 country.

Heyangzi LiDepartment of Basic Medicine Sciences, the Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310058, China.
Xiaoqing ZhuDepartment of Gynecology, the Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310058, China.
Xi CaoDepartment of Basic Medicine Sciences, the Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310058, China.
Yicheng LuDepartment of Basic Medicine Sciences, the Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310058, China.
Jianwei ZhouDepartment of Gynecology, the Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310058, China. Electronic address: 2195045@zju.edu.cn.
Xiaoming ZhangDepartment of Basic Medicine Sciences, and Department of Gynecology, the Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310058, China. Electronic address: zxm@zju.edu.cn.
Second Affiliated Hospital of Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMyocardial fibrosis and cardiac dysfunction are the main characteristics of diabetic heart disease. However, the molecular mechanisms underlying diabetic myocardial fibrosis remain unclear.

objectivesThis study aimed to investigate the heterogeneity of cardiac fibroblasts in diabetic mice and its possible mechanism in the development of diabetic myocardial fibrosis.

methodsWe established a diabetic mouse model by injecting mice with streptozotocin. The overall cell profiles in diabetic hearts were analyzed using single-cell RNA transcriptomic techniques. Cardiac function was evaluated by echocardiography. Cardiac fibrosis was assessed by Masson's trichrome and Sirius red staining. Protein expression was analyzed using Western blotting and immunofluorescence staining.

resultsA total of 11,585 cells were captured in control (Ctrl) and diabetic (DM) hearts. Twelve cell types were identified in this study. The number of fibroblasts was significantly higher in the DM hearts than in the Ctrl group. The fibroblasts were further re-clustered into nine subsets. Interestingly, cluster 4 fibroblasts were significantly increased in diabetic hearts compared with other fibroblast clusters. Lysyl oxidase (Lox) was highly expressed in DM fibroblasts (especially in cluster 4). Beta-aminopropionitrile, a Lox inhibitor, inhibited collagen expression and alleviated cardiac dysfunction in the diabetic group. Lysyl oxidase inhibition also reduced high glucose-induced collagen protein upregulation in primary fibroblasts. Moreover, a TGF-β receptor inhibitor not only prevented an increase in Lox and Col I but also inhibited the phosphorylation of Smad2/3 in fibroblasts.

conclusionsThis study revealed the heterogeneity of cardiac fibroblasts in diabetic mice for the first time. Fibroblasts with high expression of Lox (cluster 4 fibroblasts) were identified to play a crucial role in fibrosis in diabetic heart disease. The findings of this study may provide a possible therapeutic target for interstitial fibrosis.

Indexed as

CardiomyopathiesDiabetes Mellitus, ExperimentalAnimalsCollagenFibroblastsFibrosisMiceProtein-Lysine 6-OxidaseSingle-Cell AnalysisCollagenProtein-Lysine 6-Oxidasediabetic cardiomyopathyfibroblastslysyl oxidaseSingle-cell RNA sequencing

Identifiers

PMID36706988
PMCPMC10703720
OpenAlexW4317937413

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.