Evidence map›Paper›PMID 41666174›Full record

Observational studyPloS one2026

Integrated microbiomics and metabolomics analysis reveals distinct profiles in carbapenem-resistant Acinetobacter baumannii and Escherichia coli infections in Pancreatitis-associated sepsis.

Kongfan Zhu, Hua Hu, Zhijian Yang, Zhongchao Zhu

Abstract readObservational Study
In one paragraph

Observational study in PloS one, 2026. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Kongfan ZhuDepartment of Pancreatic surgery, Renmin Hospital of Wuhan University, Wuhan, China.ORCID https://orcid.org/0009-0000-3461-8405
Hua HuDepartment of Bone and Joint Surgery, Renmin Hospital of Wuhan University, Wuhan, China.
Zhijian YangDepartment of Pancreatic surgery, Renmin Hospital of Wuhan University, Wuhan, China.
Zhongchao ZhuDepartment of Pancreatic surgery, Renmin Hospital of Wuhan University, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPancreatitis-associated sepsis (PAS) caused by carbapenem-resistant bacteria poses significant clinical challenges. The objective of this research was to examine the microbial and metabolic profiles of individuals with carbapenem-resistant Acinetobacter baumannii (CRAB) and Escherichia coli (CREC) infections using integrated microbiomics and metabolomics approaches.

methodsPeripheral blood samples from 11 PAS patients (8 CRAB, 3 CREC) were analyzed using 16S rDNA gene sequencing and untargeted metabolomics via LC-MS. Microbial diversity, community structure, and differential metabolites were examined between CRAB and CREC groups.

resultsCRAB patients exhibited higher microbial diversity compared to CREC patients. p-Proteobacteria, p-Firmicutes, and p-Cyanobacteria predominated in both patient groups. Significant differences in microbial composition were observed, with p-Proteobacteria more abundant in CRAB and p-Cyanobacteria in CREC samples. g-Enhydrobacter and s-Moraxella osloensis were the biomarkers, significantly higher in CREC patients. Metabolomic analysis revealed 328 differential metabolites between groups, with the majority being downregulated in CRAB. The main categories of identified differential metabolites were amino acids and their derivatives. These differential metabolites were closely related to various metabolic pathways. The most significant metabolic difference between the two patient groups was the level of triglycerides. R-2 Methanandamide and 13-(β-D-glucosyloxy) docosanoic acid showed the highest correlation with g-Enhydrobacter and s-Moraxella osloensis.

conclusionIn PAS patients, s-Moraxella osloensis is a biomarker distinguishing CRAB and CREC infections, correlating with R-2 Methanandamide and 13-(β-D-glucosyloxy) docosanoic acid.

Indexed as

Acinetobacter InfectionsCarbapenemsEscherichia coli InfectionsMicrobiotaPancreatitisSepsisAcinetobacter baumanniiAgedAged, 80 and overDNA, BacterialDrug Resistance, BacterialEscherichia coliFemaleHumansMaleMiddle AgedCarbapenemsDNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID41666174
PMCPMC12890157

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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.