Evidence map›Paper›PMID 39004726›Full record

ArticleJournal of translational medicine2024

Exploring the role of CBLB in acute myocardial infarction: transcriptomic, microbiomic, and metabolomic analyses.

Hongjun You, Fengjun Chang, Haichao Chen, Yi Wang, Wenqi Han

Abstract read
In one paragraph

Article in Journal of translational medicine, 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.

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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

5 authors.

Hongjun YouDepartment of Cardiovascular Medicine, Shaanxi Provincial People's Hospital, No.256 Youyi West Road, Beilin District, Xi'an City, 710068, Shaanxi Province, China.
Fengjun ChangDepartment of Cardiovascular Medicine, Shaanxi Provincial People's Hospital, No.256 Youyi West Road, Beilin District, Xi'an City, 710068, Shaanxi Province, China.
Haichao ChenDepartment of Cardiovascular Medicine, Shaanxi Provincial People's Hospital, No.256 Youyi West Road, Beilin District, Xi'an City, 710068, Shaanxi Province, China.
Yi WangDepartment of Cardiovascular Medicine, Shaanxi Provincial People's Hospital, No.256 Youyi West Road, Beilin District, Xi'an City, 710068, Shaanxi Province, China.
Wenqi HanDepartment of Cardiovascular Medicine, Shaanxi Provincial People's Hospital, No.256 Youyi West Road, Beilin District, Xi'an City, 710068, Shaanxi Province, China. hwq315@163.com.ORCID 0009-0002-4410-9326

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpecific alterations in gut microbiota and metabolites have been linked to AMI, with CBLB potentially playing an essential role. However, the precise interactions remain understudied, creating a significant gap in our understanding. This study aims to address this by exploring these interactions in CBLB-intervened AMI mice using transcriptome sequencing, 16 S rDNA, and non-targeted metabolite analysis.

methodsTo probe the therapeutic potential and mechanistic underpinnings of CBLB overexpression in AMI, we utilized an integrative multi-omics strategy encompassing transcriptomics, metabolomics, and 16s rDNA sequencing. We selected these particular methods as they facilitate a holistic comprehension of the intricate interplay between the host and its microbiota, and the potential effects on the host's metabolic and gene expression profiles. The uniqueness of our investigation stems from utilizing a multi-omics approach to illuminate the role of CBLB in AMI, an approach yet unreported to the best of our knowledge. Our experimental protocol encompassed transfection of CBLB lentivirus-packaged vectors into 293T cells, followed by subsequent intervention in AMI mice. Subsequently, we conducted pathological staining, fecal 16s rDNA sequencing, and serum non-targeted metabolome sequencing. We applied differential expression analysis to discern differentially expressed genes (DEGs), differential metabolites, and differential microbiota. We performed protein-protein interaction analysis to identify core genes, and conducted correlation studies to clarify the relationships amongst these core genes, paramount metabolites, and key microbiota.

resultsFollowing the intervention of CBLB in AMI, we observed a significant decrease in inflammatory cell infiltration and collagen fiber formation in the infarcted region of mice hearts. We identified key changes in microbiota, metabolites, and DEGs that were associated with this intervention. The findings revealed that CBLB has a significant correlation with DEGs, differential metabolites and microbiota, respectively. This suggests it could play a pivotal role in the regulation of AMI.

conclusionThis study confirmed the potential of differentially expressed genes, metabolites, and microbiota in AMI regulation post-CBLB intervention. Our findings lay groundwork for future exploration of CBLB's role in AMI, suggesting potential therapeutic applications and novel research directions in AMI treatment strategies.

Indexed as

MetabolomicsMice, Inbred C57BLMyocardial InfarctionProto-Oncogene Proteins c-cblTranscriptomeAdaptor Proteins, Signal TransducingAnimalsDNA, RibosomalGastrointestinal MicrobiomeGene Expression ProfilingHumansMaleMetabolomeMiceRNA, Ribosomal, 16SAdaptor Proteins, Signal TransducingCblb protein, mouseDNA, RibosomalProto-Oncogene Proteins c-cblRNA, Ribosomal, 16S16S rDNA sequencingAcute myocardial infarctionBiomarkersCBLBNon-targeted metabolites sequencingRNA-seq

Identifiers

PMID39004726
PMCPMC11247792

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.