Evidence map›Paper›PMID 40873716›Full record

ArticleFrontiers in microbiology2025

Comparison of extracellular vesicles carrying bacterial DNA in urine and serum from a Korean population.

Ga-Eun Yie, Nam-Eun Kim, Sang-Cheol Park, Kangjin Kim, Sangah Shin, Seung Ku Lee, Chol Shin, Kwang Jun Lee, Sungho Won

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

9 authors.

Ga-Eun YieInterdisciplinary Program of Bioinformatics, Seoul National University, Seoul, Republic of Korea.
Nam-Eun KimInstitute of Health and Environment, Seoul National University, Seoul, Republic of Korea.
Sang-Cheol ParkInstitute for Biomaterials, Korea University, Seoul, Republic of Korea.
Kangjin KimDepartment of Applied Statistics, Gachon University, Seongnam, Republic of Korea.
Sangah ShinDepartment of Food and Nutrition, Chung-Ang University, Anseong, Republic of Korea.
Seung Ku LeeInstitute of Human Genomic Study, College of Medicine, Korea University, Seoul, Republic of Korea.
Chol ShinInstitute of Human Genomic Study, College of Medicine, Korea University, Seoul, Republic of Korea.
Kwang Jun LeeDivision of Zoonotic and Vector Borne Diseases Research, Center for Infectious Disease Research, National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.
Sungho WonInterdisciplinary Program of Bioinformatics, Seoul National University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Bacteria-derived extracellular vesicles (BEVs) are emerging as key biomarkers of host-microbiota interactions. However, little is known about how BEV profiles differ across different biofluids or how these differences relate to clinical phenotypes. We aimed to examine the BEV distribution and site-specific and shared associations with host phenotypes, and evaluated the clinical relevance of microbial distance between sampling sites. Methods: We profiled BEVs using 16S rRNA sequencing of urine and serum samples from middle-aged and older Koreans ( Results: Urine BEVs exhibited higher alpha diversity than the serum BEVs, as well as stronger associations with dietary nutrient intake, particularly sugar, and with anthropometric measures such as waist circumference. The correlations between the urine and serum BEV compositions were generally low, emphasizing their distinct microbial profiles. Notably, individuals with shorter urine-serum BEV composition distances had higher waist-to-hip and sugar-to-fat ratios. Discussion: This study provides a comprehensive comparison of urinary and serum BEVs, revealing the differences in microbial composition and associations with host phenotypes. In particular, urine BEVs showed stronger associations with dietary and metabolic factors, underscoring their potential utility as non-invasive biomarkers for metabolic health.

Indexed as

extracellular vesiclegut dysbiosismicrobiomeserumurine

Identifiers

PMID40873716
PMCPMC12379074

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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.