Evidence map›Paper›PMID 40012066›Full record

ArticleCardiovascular diabetology2025

Cellular crosstalk in organotypic vasculature: mechanisms of diabetic cardiorenal complications and SGLT2i responses.

Wenting Wang, Yanfei Liu, Qian Xu, Longkun Liu, Mengmeng Zhu, Yiwen Li, Jing Cui, Keji Chen, Yue Liu

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. 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

9 authors.

Wenting Wang *National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, 100091, China.
Yanfei Liu *The Second Department of Geriatrics, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing, 100091, China.
Qian XuNational Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, 100091, China.
Longkun LiuNational Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, 100091, China.
Mengmeng ZhuNational Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, 100091, China.
Yiwen LiNational Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, 100091, China.
Jing CuiNational Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, 100091, China.
Keji ChenNational Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, 100091, China.
Yue LiuNational Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, 100091, China. liuyueheart@hotmail.com.

Funding

Excellent Young Science and Technology Talent Cultivation Special Project of CACMS CI2023D006Hospital capability enhancement project of Xiyuan Hospital of CACMS XYZX0201-10National Outstanding Youth Science Fund Project of National Natural Science Foundation of China 82022076
6 · The paper itself

Abstract

backgroundDiabetic panvascular disease (DPD) is the leading clinical complication of diabetes mellitus (DM), characterized by atherosclerosis across multiple organ vessels. It is a major cause of high disability and mortality rates in DM. However, the pathological mechanisms and key mediators of DPD remain unclear.

methodsThis study constructed a single-cell organotypic atlas of the vasculature containing 321,358 cells by integrating 14 single-cell datasets from 8 major mouse organs and tissues. A total of 63 cell types were identified, including 9 vascular cell subtypes, whereas the cell-to-cell interaction (CCI) patterns of the organotypic vasculature were systematically analyzed.

resultsEndothelial cells (ECs) were identified as the major cell type involved in CCI within the vasculature, with their ligands interacting with receptors of various cell types, which contribute to multiple biological processes such as stem cell differentiation and immune regulation. Notably, the study examined the cellular communication characteristics of different EC subtypes. Additionally, the inter-organ communication between the heart and kidney-key tissues in DPD-was analyzed. The BMP signaling pathway emerged as a critical communication pathway leading to cardiorenal complications in DM, with SGLT2i having a regulatory role in BMP6 modulation.

conclusionsThe study provides, for the first time, a single-cell analysis of the CCI patterns of the organotypic vasculature and highlights the central role of ECs. Moreover, the key role of BMP6 in diabetic cardiorenal complications is elucidated. These findings offer new insights into the mechanisms underlying DPD co-morbidities and provide a novel scientific basis for clinical prevention, treatment strategies for DPD, and the understanding of the action mechanism of SGLT2i.

Indexed as

Cell CommunicationDiabetic AngiopathiesDiabetic NephropathiesEndothelial CellsKidneySodium-Glucose Transporter 2 InhibitorsAnimalsHumansMiceSignal TransductionSingle-Cell AnalysisSodium-Glucose Transporter 2 InhibitorsBMP6CellChatDiabetic cardiorenal complicationsOrganotypic vasculatureSGLT2i

Identifiers

PMID40012066
PMCPMC11866599

What OpenQuestion holds

Textmetadata
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.