Back

Urinary extracellular vesicles reveal a sex-specific miRNome profile in alcohol use disorder patients

Martin-Uridales, B.; Perpina-Clerigues, C.; Mellado, S.; Rojas-Pirela, M.; Aguilar Sanchez, M.-L.; Puertas-Miranda, D.; Garcia-Garcia, F.; Marcos, M.; Pascual, M.

2026-07-08 cell biology
10.64898/2026.07.08.737166 bioRxiv
Show abstract

miRNA-based transcriptomic analysis of extracellular vesicles (EVs) provide a promising strategy for identifying non-invasive biomarkers and understanding complex pathological mechanisms. Recently, however, urinary extracellular vesicles (uEVs) have emerged as a valuable window into molecular alterations. Despite the high morbidity and mortality associated with alcohol use disorder (AUD), the molecular mechanisms underlying its sex-specific differences remain poorly understood. To address this, we characterize for the first time the uEV miRNome in AUD, revealing its sexually dimorphic profile. We employed uEVs from actively drinking AUD patients of both sexes who did not have advanced liver disease, alongside matched controls. Deep sequencing revealed 14 differentially expressed miRNAs in females (e.g., hsa-miR-197-3p, hsa-miR-19b-3p, hsa-miR-505-3p, hsa-miR-625-5p, and hsa-miR-27a-5p) and 6 in males (e.g., hsa-miR-1290, hsa-miR-1246, hsa-miR-450a-5p, and miR-590-5p). Notably, whereas hsa-miR-4787-5p was consistently overexpressed in uEVs from both sexes, it was absent in plasma-derived EVs, highlighting the specificity of the urinary compartment. Remarkably, the miRNA signatures we uncovered reflect the multiorgan impact of AUD. For instance, hsa-miR-1290 and hsa-miR-197-3p point to alcohol-related liver injury and systemic inflammation, whereas hsa-miR-19b-3p and hsa-miR-1246 signal neuroinflammation and neuronal stress. A subset, including hsa-miR-1290, hsa-miR-1246, and hsa-miR-27a-5p, has been implicated in cancer contexts. Collectively, these findings support the uEV miRNome as a promising sex-informed molecular signature of AUD with biomarker and mechanistic relevance.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Nature Communications
5641 papers in training set
Top 17%
11.0%
2
Advanced Science
286 papers in training set
Top 0.4%
8.1%
3
Molecular Psychiatry
282 papers in training set
Top 0.7%
8.1%
4
Translational Psychiatry
260 papers in training set
Top 1%
5.3%
5
Journal of Extracellular Vesicles
55 papers in training set
Top 0.2%
5.3%
6
Science Advances
1243 papers in training set
Top 5%
5.0%
7
JHEP Reports
11 papers in training set
Top 0.1%
3.3%
8
Scientific Reports
3612 papers in training set
Top 31%
3.3%
9
Cell Reports Medicine
153 papers in training set
Top 1%
2.9%
50% of probability mass above
10
Neurobiology of Disease
148 papers in training set
Top 2%
2.0%
11
Cell Reports
1498 papers in training set
Top 18%
1.8%
12
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 27%
1.8%
13
eLife
5828 papers in training set
Top 47%
1.8%
14
iScience
1154 papers in training set
Top 16%
1.8%
15
Clinical Epigenetics
60 papers in training set
Top 0.3%
1.8%
16
Progress in Neuro-Psychopharmacology and Biological Psychiatry
48 papers in training set
Top 0.5%
1.8%
17
Communications Biology
993 papers in training set
Top 16%
1.5%
18
eBioMedicine
183 papers in training set
Top 3%
1.5%
19
International Journal of Molecular Sciences
494 papers in training set
Top 10%
1.4%
20
Cell Death & Disease
21 papers in training set
Top 0.3%
1.4%
21
Biology of Sex Differences
32 papers in training set
Top 0.4%
1.2%
22
Alcoholism: Clinical and Experimental Research
14 papers in training set
Top 0.2%
1.1%
23
Communications Medicine
113 papers in training set
Top 4%
1.1%
24
Nature Medicine
125 papers in training set
Top 3%
1.0%
25
Neuropharmacology
68 papers in training set
Top 0.7%
1.0%
26
Clinical and Translational Medicine
31 papers in training set
Top 0.8%
0.9%
27
The FASEB Journal
194 papers in training set
Top 5%
0.9%
28
PLOS ONE
5266 papers in training set
Top 63%
0.6%