Evidence map›Paper›PMID 39384885›Full record

ArticleScientific reports2024

Multiomics identification of ALDH9A1 as a crucial immunoregulatory molecule involved in calcific aortic valve disease.

Lu-Zhu Chen, Peng-Fei Zheng, Xiang-Jiang Shi

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Single-cell multiomics identifies an ALDH9A1-carnitine signaling axis driving resistance of NSCLC to immunotherapy.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

3 authors.

Lu-Zhu ChenDepartment of Cardiology, The Central Hospital of ShaoYang, No. 36 QianYuan Lane, Daxiang District, Shaoyang, 422000, Hunan, China.
Peng-Fei ZhengCardiology Department, Hunan Provincial People's Hospital, No.61 West Jiefang Road, Furong District, Changsha, 410000, Hunan, China.
Xiang-Jiang ShiDepartment of Cardiology, The Central Hospital of ShaoYang, No. 36 QianYuan Lane, Daxiang District, Shaoyang, 422000, Hunan, China. sxjliu@163.com.ORCID 0009-0003-5456-2770

Funding

National Outstanding Youth Science Fund Project of National Natural Science Foundation of China 82300528Young Doctor Fund Project of Hunan Provincial People's Hospital Young Doctor Fund Project of Hunan Provincial People's Hospital
6 · The paper itself

Abstract

Mitochondrial dysfunction and immune cell infiltration play crucial yet incompletely understood roles in the pathogenesis of calcific aortic valve disease (CAVD). This study aimed to identify immune-related mitochondrial genes critical to the pathological process of CAVD using multiomics approaches. The CIBERSORT algorithm was employed to evaluate immune cell infiltration characteristics in CAVD patients. An integrative analysis combining weighted gene coexpression network analysis (WGCNA), machine learning, and summary data-based Mendelian randomization (SMR) was performed to identify key mitochondrial genes implicated in CAVD. Spearman's rank correlation analysis was also performed to assess the relationships between key mitochondrial genes and infiltrating immune cells. Compared with those in normal aortic valve tissue, an increased proportion of M0 macrophages and resting memory CD4 T cells, along with a decreased proportion of plasma cells and activated dendritic cells, were observed in CAVD patients. Additionally, eight key mitochondrial genes associated with CAVD, including PDK4, LDHB, SLC25A36, ALDH9A1, ECHDC2, AUH, ALDH2, and BNIP3, were identified through the integration of WGCNA and machine learning methods. Subsequent SMR analysis, incorporating multiomics data, such as expression quantitative trait loci (eQTLs) and methylation quantitative trait loci (mQTLs), revealed a significant causal relationship between ALDH9A1 expression and a reduced risk of CAVD. Moreover, ALDH9A1 expression was inversely correlated with M0 macrophages and positively correlated with M2 macrophages. These findings suggest that increased ALDH9A1 expression is significantly associated with a reduced risk of CAVD and that it may exert its protective effects by modulating mitochondrial function and immune cell infiltration. Specifically, ALDH9A1 may contribute to the shift from M0 macrophages to anti-inflammatory M2 macrophages, potentially mitigating the pathological progression of CAVD. In conclusion, ALDH9A1 represents a promising molecular target for the diagnosis and treatment of CAVD. However, further validation through in vivo and n vitro studies is necessary to confirm its role in CAVD pathogenesis and therapeutic potential.

Indexed as

Aortic ValveAortic Valve StenosisCalcinosisAgedFemaleGene Expression ProfilingGene Regulatory NetworksHumansMachine LearningMacrophagesMaleMendelian Randomization AnalysisMitochondriaMultiomicsQuantitative Trait LociALDH9A1CAVDImmune infiltrationMitochondrial genesSMR

Identifiers

PMID39384885
PMCPMC11464510

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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.