Evidence map›Paper›PMID 39395983›Full record

ArticleCardiovascular diabetology2024

Spatial multiomics atlas reveals smooth muscle phenotypic transformation and metabolic reprogramming in diabetic macroangiopathy.

Yongjiang Qian, Shizheng Xiong, Lihua Li, Zhen Sun, Lili Zhang, Wei Yuan, Honghua Cai, Guoquan Feng, Xiaoguang Wang, Haipeng Yao and 3 more

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

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0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Yongjiang Qian *Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, China.
Shizheng Xiong *State Key Laboratory of Organic Electronics and Information Displays and Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, Nanjing, 210023, China.
Lihua Li *Department of Pathology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, China.
Zhen Sun *Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, China.
Lili Zhang *Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, China.
Wei Yuan *Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, China.
Honghua CaiDepartment of Burn and Plastic Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, China.
Guoquan FengDepartment of Radiology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, China.
Xiaoguang WangDepartment of Joint Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, China.
Haipeng YaoDepartment of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, China.
Yun GaoDepartment of Pathology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, China.
Li GuoState Key Laboratory of Organic Electronics and Information Displays and Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, Nanjing, 210023, China. lguo@njupt.edu.cn.
Zhongqun WangDepartment of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, China. wangtsmc@126.com.

Funding

Jiangsu Provincial Key Research and Development Program BE2022780National Natural Science Foundation of China 82370457Postgraduate Research& Practice Innovation Program of Jiangsu Province SJCX21_1729
6 · The paper itself

Abstract

backgroundDiabetic macroangiopathy has been the main cause of death and disability in diabetic patients. The mechanisms underlying smooth muscle cell transformation and metabolic reprogramming other than abnormal glucose and lipid metabolism remain to be further explored.

methodSingle-cell transcriptome, spatial transcriptome and spatial metabolome sequencing were performed on anterior tibial artery from 11 diabetic patients with amputation. Multi-omics integration, cell communication analysis, time series analysis, network analysis, enrichment analysis, and gene expression analysis were performed to elucidate the potential molecular features.

resultWe constructed a spatial multiomics map of diabetic blood vessels based on multiomics integration, indicating single-cell and spatial landscape of transcriptome and spatial landscape of metabolome. At the same time, the characteristics of cell composition and biological function of calcified regions were obtained by integrating spatial omics and single cell omics. On this basis, our study provides favorable evidence for the cellular fate of smooth muscle cells, which can be transformed into pro-inflammatory chemotactic smooth muscle cells, macrophage-like smooth muscle cells/foam-like smooth muscle cells, and fibroblast/chondroblast smooth muscle cells in the anterior tibial artery of diabetic patients. The smooth muscle cell phenotypic transformation is driven by transcription factors net including KDM5B, DDIT3, etc. In addition, in order to focus on metabolic reprogramming apart from abnormal glucose and lipid metabolism, we constructed a metabolic network of diabetic vascular activation, and found that HNMT and CYP27A1 participate in diabetic vascular metabolic reprogramming by combining public data.

conclusionThis study constructs the spatial gene-metabolism map of the whole anterior tibial artery for the first time and reveals the characteristics of vascular calcification, the phenotypic transformation trend of SMCs, and the transcriptional driving network of SMCs phenotypic transformation of diabetic macrovascular disease. In the perspective of combining the transcriptome and metabolome, the study demonstrates the activated metabolic pathways in diabetic blood vessels and the key genes involved in diabetic metabolic reprogramming.

Indexed as

Diabetic AngiopathiesMuscle, Smooth, VascularMyocytes, Smooth MusclePhenotypeSingle-Cell AnalysisTranscriptomeAgedCellular ReprogrammingEnergy MetabolismFemaleGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansMaleMetabolic ReprogrammingCalcification characteristicsDiabetic macroangiopathyMetabolic reprogrammingSpatial multiomicsTranscriptional control

Identifiers

PMID39395983
PMCPMC11471023

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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.