Evidence map›Paper›PMID 40927580›Full record

SynthesisFrontiers in pediatrics2025

Using molecular methods to diagnose, classify, and treat neonatal sepsis: a scoping review.

Catherine Y Lee, Sidney E Zven, Shreyas A Sathya, Danielle Abukhalaf, Sneha Sahoo, Pratyusha Samal, Stephanie M Prescott

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in pediatrics, 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. Review
  2. Review
  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

7 authors.

Catherine Y LeeMorsani College of Medicine, University of South Florida, Tampa, FL, United States.
Sidney E ZvenDepartment of Pediatrics, Walter Reed National Military Medical Center, Specialized Services University School of Medicine, Bethesda, MD, United States.
Shreyas A SathyaCollege of Arts and Sciences, University of South Florida, Tampa, FL, United States.
Danielle Abukhalaf *Department of Nursing, University of South Florida College of Nursing, Tampa, FL, United States.
Sneha Sahoo *College of Arts and Sciences, University of South Florida, Tampa, FL, United States.
Pratyusha Samal *College of Arts and Sciences, University of South Florida, Tampa, FL, United States.
Stephanie M PrescottDepartment of Neonatal Research, Inova Health Services, Falls Church, VA, United States.

Funding

The Scientific Value of Premature Infant Biospecimens CollectionR21GM150136 · NIGMS · UNIVERSITY OF SOUTH FLORIDA · PI PRESCOTT, STEPHANIE · 2023 to 2024
$409k
NIGMS NIH HHS R21 GM150136
6 · The paper itself

Abstract

Introduction: Neonatal sepsis is a dysregulated immune response to bloodstream infection causing serious disease and death. Our review seeks to integrate the knowledge gained from studies of multiple molecular methods- such as genomics, metabolomics, transcriptomics, and the gut microbiome- in the setting of neonatal sepsis that may improve the diagnosis, classification, and treatment of the disease. Sepsis claims over 200,000 lives annually worldwide and remains a top 10 cause of infant mortality in the US. Diagnosis and treatment of neonatal sepsis remains a challenge as its mechanisms are poorly understood. Methods: We conducted a scoping review of literature published between 2018 and 2024. Of 1,043 articles screened, 30 were included in the final review. Results: The gut microbiome is associated with both pathogenicity and protection in the setting of neonatal sepsis, while expression levels of immune response and regulation help classify neonatal response to septic events. Metabolomic studies reveal possible biomarkers to detect, classify, and predict neonatal sepsis morbidity and mortality, and proteomic studies confirm mechanisms predicted by the other models. Discussion: Studies using molecular methods foster greater understanding of neonatal sepsis and show promise to improve diagnosis, classification, and therapeutic intervention. Future research using multi-omic analyses may further elucidate the development and progression of inflammatory processes that occur as sepsis progresses.

Indexed as

genomicsmetabolomicsmicrobiomemultiomicneonatal sepsisneonatestranscriptomics

Identifiers

PMID40927580
PMCPMC12415037

What OpenQuestion holds

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Registered trials

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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.