Evidence map›Paper›PMID 41001416›Full record

ArticleFrontiers in cellular and infection microbiology2025

Investigation of co-existing bacteria in platelets by employing long-term culturomics and metagenomics.

Qiqi Wang, Mengyi Zhao, Anqing Liu, Yuwei Zhao, Zhenxin Fan, Yang Huang, Zhan Gao, Miao He

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Qiqi Wang *Institute of Blood Transfusion, Chinese Academy of Medical Sciences, Chengdu, China.
Mengyi Zhao *Institute of Blood Transfusion, Chinese Academy of Medical Sciences, Chengdu, China.
Anqing LiuInstitute of Blood Transfusion, Chinese Academy of Medical Sciences, Chengdu, China.
Yuwei ZhaoChengdu Blood Center, Chengdu, China.
Zhenxin FanKey Laboratory of Bioresources and Ecoenvironment, Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China.
Yang HuangInstitute of Blood Transfusion, Chinese Academy of Medical Sciences, Chengdu, China.
Zhan GaoInstitute of Blood Transfusion, Chinese Academy of Medical Sciences, Chengdu, China.
Miao HeInstitute of Blood Transfusion, Chinese Academy of Medical Sciences, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Bacterial contamination of platelets presents a substantial risk in transfusion medicine. Conventional detection approaches have limitations in sensitivity and bacterial coverage. In this study we employed culturomics and metagenomics to investigate co-existent bacteria in platelets, aiming to enhance transfusion safety and explore healthy bacteremia. Methods: Platelet from 6 healthy donors underwent a 30-days extensive cultivation and isolation procedure using in-house culturomics. Results: 16S rRNA sequencing identified 90 bacterial strains across 3 phyla, 5 classes, 5orders, 7 families, 9 genera, and 23 species. Metagenomics sequencing revealed greater microbial diversity, detecting an average of 3018 microbial species per sample. The bacteria concurrently detected by both culturomics and metagenomics included species from Firmicutes, Actinobacteria, and Proteobacteria. Discussion: This combined approach validates the presence of bacteria in platelets, likely originating from the skin, gut, oral cavity, environment, or bloodstream, providing a comprehensive strategy for bacterial identification in transfusion products.

Indexed as

BacteriaBlood PlateletsMetagenomicsBacteriological TechniquesDNA, BacterialDNA, RibosomalHumansPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNADNA, BacterialDNA, RibosomalRNA, Ribosomal, 16Sbacteriaculturomicshealthy bacteremiametagenomicsplatelets

Identifiers

PMID41001416
PMCPMC12457405

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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.