Mucosal Immune Markers and Their Impact on Antimicrobial Resistance: A Systematic Review

<b>Objectives: </b>This systematic review aimed to evaluate the role of secretory immunoglobulin A (sIgA) and related mucosal immune markers in modulating susceptibility to colonization or infection by antimicrobial-resistant (AMR) bacteria in human and animal models.<br /> <b>Methods: </b>Studies were included if they assessed mucosal sIgA levels about AMR outcomes, reported original data, and were published in English between 2015 and June 2025. Exclusion criteria included a lack of mucosal immune data or AMR-related endpoints. Databases searched included PubMed, ScienceDirect, and EBSCO (Knowledge and Library Hub), with the last search performed on June 10, 2025. The quality of the included studies was assessed using the checklist for quantitative studies, and data were extracted and synthesized narratively, stratified by immune markers, study design, and mucosal compartment.<br /> <b>Results: </b>After the systematic search of the databases considered for this review and review of available literature indexed in them, eleven studies that met the inclusion criteria of this study were included in this review.  The mucosal sites investigated in most of these studies were gastrointestinal, respiratory, oral, and genitourinary mucosa. Of the eleven (11) studies, four carried out investigations in humans while the remaining seven utilized animal models. All the included studies reported secretory immunoglobulin A (sIgA) level, whereas five of the studies reported other indicators, such as cytokines and IgG, alongside sIgA levels. There was consistency in their results as increased sIgA levels were linked to decreased infection or colonization by AMR pathogens. Moreover, vaccination-based interventional studies showed an increase in sIgA post-vaccination or probiotic treatment.<br /> <b>Conclusion: </b>Although in this review we included studies with varying methodological approaches as well as studies featuring humans and animal models, the evidence from this review indicates that mucosal sIgA offers protection against antimicrobial-resistant (AMR) bacteria colonization. Therefore, findings from this study suggest that in the quest for addressing AMR that approaches targeting mucosal immunity preventative measures should be explored through standardized trials.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Medicine of Kazakhstan
Published
2025-11-02
DOI
https://doi.org/10.23950/jcmk/17362
Primary Topic
Pediatric health and respiratory diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mucosal Immune Markers and Their Impact on Antimicrobial Resistance: A Systematic Review

Olabisi Promise Lawal, Aliyu O Olaniyi, Udeichi Nnenna Chidimma, Udeichi Mmesoma Odinaka et al.
Journal of Clinical Medicine of Kazakhstan
Pediatric health and respiratory diseases
article

Mucosal Immune Markers and Their Impact on Antimicrobial Resistance: A Systematic Review

Olabisi Promise Lawal, Aliyu O Olaniyi, Udeichi Nnenna Chidimma, Udeichi Mmesoma Odinaka, Idris Olumide Orenolu, Mayowa Josiah Badmus, Misbahudeen Olohuntoyin Abdulkareem, Uche Cyprain Tochukwu, Catherine Rono
article en

Abstract

<b>Objectives: </b>This systematic review aimed to evaluate the role of secretory immunoglobulin A (sIgA) and related mucosal immune markers in modulating susceptibility to colonization or infection by antimicrobial-resistant (AMR) bacteria in human and animal models.<br /> <b>Methods: </b>Studies were included if they assessed mucosal sIgA levels about AMR outcomes, reported original data, and were published in English between 2015 and June 2025. Exclusion criteria included a lack of mucosal immune data or AMR-related endpoints. Databases searched included PubMed, ScienceDirect, and EBSCO (Knowledge and Library Hub), with the last search performed on June 10, 2025. The quality of the included studies was assessed using the checklist for quantitative studies, and data were extracted and synthesized narratively, stratified by immune markers, study design, and mucosal compartment.<br /> <b>Results: </b>After the systematic search of the databases considered for this review and review of available literature indexed in them, eleven studies that met the inclusion criteria of this study were included in this review.  The mucosal sites investigated in most of these studies were gastrointestinal, respiratory, oral, and genitourinary mucosa. Of the eleven (11) studies, four carried out investigations in humans while the remaining seven utilized animal models. All the included studies reported secretory immunoglobulin A (sIgA) level, whereas five of the studies reported other indicators, such as cytokines and IgG, alongside sIgA levels. There was consistency in their results as increased sIgA levels were linked to decreased infection or colonization by AMR pathogens. Moreover, vaccination-based interventional studies showed an increase in sIgA post-vaccination or probiotic treatment.<br /> <b>Conclusion: </b>Although in this review we included studies with varying methodological approaches as well as studies featuring humans and animal models, the evidence from this review indicates that mucosal sIgA offers protection against antimicrobial-resistant (AMR) bacteria colonization. Therefore, findings from this study suggest that in the quest for addressing AMR that approaches targeting mucosal immunity preventative measures should be explored through standardized trials.

Journal of Clinical Medicine of KazakhstanVol. 22(6)
Roswell Park Comprehensive Cancer Center (US), Sechenov University (RU), Saskatchewan Health Authority (CA), Saskatchewan Health (CA), Lagos State University of Science and Technology (NG), Federal Neuro Psychiatric Hospital (NG), Lagos University Teaching Hospital (NG), Stepping Hill Hospital (GB), Kwara State Polytechnic (NG), University of Benin (NG), Kwara State University (NG)
Reduced inequalities
Openalex Percentile: Top 23%
Pediatric health and respiratory diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.