Evidence map›Paper›PMID 39566543›Full record

ArticleCancer science2025

Bacterial information in serum extracellular vesicles reflects the inflammation of adherent perinephric fat.

Toshihiro Uemura, Atsunari Kawashima, Kentaro Jingushi, Daisuke Motooka, Takuro Saito, Nesrine Sassi, Yuki Horibe, Akinaru Yamamoto, Yutong Liu, Masaru Tani and 11 more

Abstract read
In one paragraph

Article in Cancer science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

21 authors.

Toshihiro UemuraDepartment of Urology, Graduate School of Medicine, Osaka University, Suita, Japan.ORCID https://orcid.org/0000-0001-5553-1640
Atsunari KawashimaDepartment of Urology, Graduate School of Medicine, Osaka University, Suita, Japan.ORCID https://orcid.org/0000-0001-9369-4264
Kentaro JingushiLaboratory of Molecular and Cellular Physiology, Graduate School of Pharmaceutical Sciences, Osaka University, Suita, Japan.ORCID https://orcid.org/0000-0002-2274-4962
Daisuke MotookaDepartment of Infection Metagenomics, Genome Information Research Center, Osaka University Research Institute for Microbial Diseases, Suita, Japan.
Takuro SaitoDepartment of Surgery, Graduate School of Medicine, Osaka University, Suita, Japan.ORCID https://orcid.org/0000-0002-1733-5064
Nesrine SassiDepartment of Urology, Graduate School of Medicine, Osaka University, Suita, Japan.
Yuki HoribeDepartment of Urology, Graduate School of Medicine, Osaka University, Suita, Japan.
Akinaru YamamotoDepartment of Urology, Graduate School of Medicine, Osaka University, Suita, Japan.ORCID https://orcid.org/0000-0002-3565-5870
Yutong LiuDepartment of Urology, Graduate School of Medicine, Osaka University, Suita, Japan.
Masaru TaniDepartment of Urology, Graduate School of Medicine, Osaka University, Suita, Japan.
Akihiro YoshimuraDepartment of Urology, Graduate School of Medicine, Osaka University, Suita, Japan.
Toshiki OkaDepartment of Urology, Graduate School of Medicine, Osaka University, Suita, Japan.
Yohei OkudaDepartment of Urology, Graduate School of Medicine, Osaka University, Suita, Japan.
Gaku YamamichiDepartment of Urology, Graduate School of Medicine, Osaka University, Suita, Japan.
Yu IshizuyaDepartment of Urology, Graduate School of Medicine, Osaka University, Suita, Japan.
Yoshiyuki YamamotoDepartment of Urology, Graduate School of Medicine, Osaka University, Suita, Japan.
Taigo KatoDepartment of Urology, Graduate School of Medicine, Osaka University, Suita, Japan.ORCID https://orcid.org/0000-0002-8681-1407
Koji HatanoDepartment of Urology, Graduate School of Medicine, Osaka University, Suita, Japan.
Kazutake TsujikawaLaboratory of Molecular and Cellular Physiology, Graduate School of Pharmaceutical Sciences, Osaka University, Suita, Japan.
Hisashi WadaDepartment of Clinical Research in Tumor Immunology, Graduate School of Medicine, Osaka University, Suita, Japan.
Norio NonomuraDepartment of Urology, Graduate School of Medicine, Osaka University, Suita, Japan.ORCID https://orcid.org/0000-0002-6522-6233

Funding

Japan Society for the Promotion of Science JP2120988 and JP22K09469
6 · The paper itself

Abstract

Adipose tissue and bacterial flora are involved in metabolism in the human body. However, the relationship between the two remains unclear. Recently, the presence of circulating bacterial DNAs has been reported. We previously reported the utility of bacterial DNA in serum extracellular vesicles (EVs) for diagnosing patients with renal cell carcinoma (RCC). In this study, we aimed to assess whether there is a correlation between bacterial DNA in serum EVs and inflammation in adipose tissue. We undertook 16S rRNA metagenomic analysis of bacterial DNA in serum EVs from 77 patients with RCC (the derivation cohort). We discovered that DNAs from Enterobacteriaceae, Polaromonas, and Coxiellaceae were highly expressed in patients with low Mayo adhesive probability (MAP) scores. A lower MAP score reflects a reduced risk of dense adipose tissue and adhesions. Additionally, we combined these bacterial DNAs to create the EPC (Enterobacteriaceae, Polaromonas, Coxiellaceae) index that predicts a MAP score of 0. Subsequently, we undertook 16S rRNA metagenomic analysis of bacterial DNA in serum EVs from 32 patients with RCC (the validation cohort). The EPC index could distinguish patients with low MAP scores from those with high MAP scores in the derivation (area under the curve [AUC], 0.76; sensitivity, 56%; specificity, 85%) and validation (AUC, 0.81; sensitivity, 100%; specificity, 62%) cohorts. These results suggest that bacterial DNA in serum EVs could reflect the inflammation of adherent perinephric fat around the kidney.

Indexed as

Adipose TissueCarcinoma, Renal CellDNA, BacterialExtracellular VesiclesInflammationKidney NeoplasmsAdultAgedFemaleHumansMaleMiddle AgedRNA, Ribosomal, 16SDNA, BacterialRNA, Ribosomal, 16Sadipose tissuebacterial DNAextracellular vesiclerenal cell carcinomarRNA gene

Identifiers

PMID39566543
PMCPMC11786307

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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.