Evidence map›Paper›PMID 40918250›Full record

ArticleFrontiers in cellular and infection microbiology2025

Microbial diversity and composition in the gut microbiome of patients during systemic inflammatory response syndrome: can we use gut bacteria as potential biomarkers to characterize sepsis?

Rafaela Ramalho Guerra, Patricia da Silva Fernandes, Otávio von Ameln Lovison, Giovanna de Ross Forni, Gabriel Silva de Oliveira, Luana Cristina Viana, Dariane Castro Pereira, William Latosinski Matos, Miriane Melo Silveira Moretti, Fabiana Zempulski Volpato and 7 more

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. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
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

17 authors.

Rafaela Ramalho GuerraBacterial Resistance Research Laboratory (LABRESIS), Hospital de clínicas de Porto Alegre (HCPA), Experimental Research Center, Porto Alegre, Brazil.
Patricia da Silva FernandesInfectious Diseases Department, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Otávio von Ameln LovisonBacterial Resistance Research Laboratory (LABRESIS), Hospital de clínicas de Porto Alegre (HCPA), Experimental Research Center, Porto Alegre, Brazil.
Giovanna de Ross ForniBacterial Resistance Research Laboratory (LABRESIS), Hospital de clínicas de Porto Alegre (HCPA), Experimental Research Center, Porto Alegre, Brazil.
Gabriel Silva de OliveiraPostgraduate Program in Medical Sciences, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.
Luana Cristina VianaBacterial Resistance Research Laboratory (LABRESIS), Hospital de clínicas de Porto Alegre (HCPA), Experimental Research Center, Porto Alegre, Brazil.
Dariane Castro PereiraBacterial Resistance Research Laboratory (LABRESIS), Hospital de clínicas de Porto Alegre (HCPA), Experimental Research Center, Porto Alegre, Brazil.
William Latosinski MatosBacterial Resistance Research Laboratory (LABRESIS), Hospital de clínicas de Porto Alegre (HCPA), Experimental Research Center, Porto Alegre, Brazil.
Miriane Melo Silveira MorettiDepartment of Critical Care, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil.
Fabiana Zempulski VolpatoDepartment of Biosciences, Federal University of Paraná - Palotina Sector, Palotina, Paraná, Brazil.
Luciana GiordaniBacterial Resistance Research Laboratory (LABRESIS), Hospital de clínicas de Porto Alegre (HCPA), Experimental Research Center, Porto Alegre, Brazil.
Patricia Orlandi BarthBacterial Resistance Research Laboratory (LABRESIS), Hospital de clínicas de Porto Alegre (HCPA), Experimental Research Center, Porto Alegre, Brazil.
Tarsila VieceliInfectious Diseases Department, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Diego Rodrigues FalciInfectious Diseases Department, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Márcio Manozzo BoniattiDepartment of Critical Care, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil.
Afonso Luís BarthBacterial Resistance Research Laboratory (LABRESIS), Hospital de clínicas de Porto Alegre (HCPA), Experimental Research Center, Porto Alegre, Brazil.
Andreza Francisco MartinsBacterial Resistance Research Laboratory (LABRESIS), Hospital de clínicas de Porto Alegre (HCPA), Experimental Research Center, Porto Alegre, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Critically ill patients, including those with systemic inflammatory response syndrome (SIRS) and sepsis, frequently exhibit gut microbiota disruption due to physiological stress and broad-spectrum antimicrobial therapy (AT). Although antibiotics are essential for controlling infection, they can destabilize the gut microbiota and may contribute to poorer clinical outcomes. The characterization of the gut microbiota of these patients may inform microbiota-based interventions to mitigate antibiotic-induced dysbiosis. Objective: This study aimed to identify key bacterial taxa that distinguish sepsis from non-sepsis patients. Methods: A total of 89 stool samples (51 non-sepsis, 38 sepsis) were evaluated by amplicon sequencing the 16S rRNA gene to assess microbiota diversity and differential abundance. Samples were stratified by antibiotic exposure time: early AT (within 5th days of initiation) and prolonged AT (6th to 10th days). Additionally, patients were also grouped based on their AT: beta-lactam combined with other antimicrobial classes (BL-combined) and beta-lactam monotherapy (BL). Results: During early AT, alpha diversity (Shannon index) was significantly lower in sepsis patients compared to non-sepsis patients (2.48 Conclusions: Sepsis and non-sepsis patients showed distinct gut microbiota profiles in early AT. In sepsis, the loss of taxa involved in key metabolic functions, as short-chain fatty acid production, reflects dysbiosis and may contribute to worse outcomes. Prolonged antibiotic use may favor enteropathogen overgrowth and gut translocation. These findings highlight the potential of microbiota-based strategies to guide antimicrobial therapy and improve clinical outcomes in critically ill patients.

Indexed as

BacteriaGastrointestinal MicrobiomeSepsisSystemic Inflammatory Response SyndromeAdultAgedAnti-Bacterial AgentsBiodiversityBiomarkersCritical IllnessDNA, BacterialDysbiosisFecesFemaleHumansMaleAnti-Bacterial AgentsBiomarkersDNA, BacterialRNA, Ribosomal, 16Samplicon sequencingbiomarkergut microbiotasepsisSIRS

Identifiers

PMID40918250
PMCPMC12411461

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.