Back

Multiomics reveals gut dysbiosis contributes to fatty acid dysmetabolism in early phase of acute myocardial infarction

Fan, Y.; Ying, J.; Huangfu, N.; He, K.; Hu, T.; Su, P.; Hu, X.; He, H.; Liang, W.; Liu, J.; Cheng, J.; Wang, S.; Zhao, R.; Mao, H.; He, F.; Sun, J.; Zhou, H.; Li, Z.; Fei, X.; Sun, X.; Wang, P.; Guan, M.; Du, W.; Lin, S.; Wang, Y.; Yang, F.; Fang, R.; Kong, Z.; Chen, X.; Cui, H.

2024-05-22 endocrinology
10.1101/2024.05.21.24307709
Show abstract

BackgroundAcute myocardial infarction (AMI) remains a major cause of death, with limited understanding of its early risk stratification. While gut microbiome disturbances has been associated with late-stage AMI, the connection to early-stage AMI (eAMI) is less explored. MethodsUsing metabolomics and metagenomics, we analyzed 56 samples, comprising 30 eAMI patients (within 12 hours of onset) and 26 age- and gender-matched healthy controls, to discern the influence of gut microbes and their metabolites. ResultsWe found the eAMI plasma is dominated by increased long-chain fatty acids (LCFAs), 14 of which provide differentiating power of eAMI patients from HCs. Multiomics analysis reveals up to 70% of the variance in LCFAs of eAMI patients can be explained by altered gut microbiome. Higher-resolution profiling of gut bacterial species demonstrated that bacterial structural variations are mechanistically linked to LCFAs dysregulation. By in silico molecular docking and in vitro thrombogenic assay in isolated human platelets, we highlighted that eAMI-associated LCFAs contribute to platelet aggregation, a driving factor for AMI initiation. ConclusionsLCFAs hold significant potential as early biomarkers of AMI and gut microbiome contributes to altered LCFAs in eAMI. Further studies are imperative to expand upon these observations to better leverage LCFAs as a potential biomarker for eAMI and as a therapeutic target for inhibition of platelet aggregation in eAMI.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Metabolites
based on 10 papers
Top 0.1%
15.5%
2
Advanced Science
based on 12 papers
Top 0.1%
7.6%
3
Scientific Reports
based on 701 papers
Top 28%
6.4%
4
Critical Care
based on 14 papers
Top 0.3%
5.1%
5
The Journal of Clinical Endocrinology & Metabolism
based on 26 papers
Top 1%
5.1%
6
eLife
based on 262 papers
Top 5%
4.5%
7
Frontiers in Endocrinology
based on 20 papers
Top 1.0%
4.5%
8
Nature Communications
based on 483 papers
Top 17%
4.5%
50% of probability mass above
9
Genome Medicine
based on 56 papers
Top 3%
2.8%
10
Cell Reports Medicine
based on 49 papers
Top 1%
2.8%
11
JCI Insight
based on 63 papers
Top 3%
2.3%
12
PLOS Pathogens
based on 35 papers
Top 0.6%
2.3%
13
Nutrients
based on 43 papers
Top 3%
1.6%
14
EMBO Molecular Medicine
based on 15 papers
Top 0.8%
1.6%
15
iScience
based on 74 papers
Top 3%
1.6%
16
European Respiratory Journal
based on 44 papers
Top 3%
1.6%
17
Biomedicines
based on 21 papers
Top 2%
1.3%
18
BMC Medicine
based on 155 papers
Top 16%
1.3%
19
Frontiers in Physiology
based on 18 papers
Top 2%
1.3%
20
International Journal of Molecular Sciences
based on 39 papers
Top 2%
1.3%
21
Brain, Behavior, & Immunity - Health
based on 11 papers
Top 0.6%
1.2%
22
Clinical and Translational Science
based on 14 papers
Top 1%
1.2%
23
PLOS ONE
based on 1737 papers
Top 93%
1.2%
24
Communications Medicine
based on 63 papers
Top 3%
0.8%
25
Frontiers in Public Health
based on 135 papers
Top 28%
0.7%
26
Frontiers in Molecular Biosciences
based on 10 papers
Top 1%
0.7%
27
Pediatric Research
based on 15 papers
Top 2%
0.7%
28
Journal of the American Heart Association
based on 92 papers
Top 12%
0.7%
29
Journal of Thrombosis and Haemostasis
based on 10 papers
Top 2%
0.7%
30
American Journal of Respiratory and Critical Care Medicine
based on 23 papers
Top 2%
0.7%