P-1857. S100B and other Fecal Biomarkers as Predictors of <i>Clostridioides difficile</i> Infection Severity and Recurrence are Influenced by Age

Abstract Background Clostridioides difficile infection (CDI) is an urgent threat in the US. Because disease severity is strongly correlated with intestinal inflammation, the aim of this study was to identify fecal biomarkers associated with poor outcomes and investigate how these biomarkers are influenced by clinical variables. Methods Fecal samples from patients diagnosed with CDI were collected from April 2021 to February 2022. Levels of biomarkers for intestinal inflammation (myeloperoxidase-MPO, lipocalin-2-Lcn2, calprotectin, S100 calcium-binding protein B-S100B, IL-6 and brain-derived neurotrophic factor-BDNF) were measured by ELISA. C. difficile isolates were tested for binary toxins gene, cdtA/cdtB, by qPCR. Results The majority of patients were females (54%, 88/149), infected by binary positive strain (59%, 88/149) and with mean age of 61.4, (range: 21 to 96 years old). 43.2% (64/148) of the patients exhibited severe disease, 29.7% (44/148) were recurrent CDI cases, and 19.4% (29/149) died post-infection. Increased fecal levels of S100B (p=0.0006) and IL-6 (p=0.03) were detected in severe disease. Compared to non-severe cases, severe first CDI cases exhibited higher levels of S100B (p=0.002), and IL-6 (p=0.04), while severe recurrent cases showed significantly higher levels of MPO, Lcn2, and calprotectin. In addition, increased levels of MPO, calprotectin, and S100B correlated positively with age. Increased fecal IL-6 (p=0.03) and S100B (p=0.01) were detected in middle-aged (40-64 years old) severe cases. Increased MPO (p=0.02), calprotectin (p=0.01), Lcn2 (p=0.006), and S100B (p=0.02) were also detected in middle-aged and oldest-old severe cases. Furthermore, patients infected by binary positive strains had significantly higher levels of fecal MPO, Lcn2, calprotectin, and IL-6. Recurrent cases also showed higher levels of fecal MPO, Lcn2, and calprotectin compared to first episode CDI cases. Fecal markers of inflammation were independent of gender. Conclusion Our findings indicate that fecal S100B is a marker of CDI severity in middle-aged, middle-old, and oldest-old patients independent of gender. Additionally, elevated fecal biomarkers (MPO, Lcn2, calprotectin, S100B, and IL-6) appear to correlate with binary toxin positivity and recurrence. Disclosures Jae Hyun Shin, MD, Ferring: Grant/Research Support Cirle A. Warren, MD, Ferring Pharmaceuticals: Site PI for ROAR

Authors

Institutions

Publication Details

Journal
Open Forum Infectious Diseases
Published
2025-01-29
DOI
https://doi.org/10.1093/ofid/ofae631.2018
Primary Topic
Clostridium difficile and Clostridium perfringens research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

P-1857. S100B and other Fecal Biomarkers as Predictors of Clostridioides difficile Infection Severity and Recurrence are Influenced by Age

Michael Behm, Jae Hyun Shin, Mônica Josiane Rodrigues‐Jesus, Deiziane Viana da Silva Costa et al.
Open Forum Infectious Diseases
Clostridium difficile and Clostridium perfringens research
article

P-1857. S100B and other Fecal Biomarkers as Predictors of Clostridioides difficile Infection Severity and Recurrence are Influenced by Age

Michael Behm, Jae Hyun Shin, Mônica Josiane Rodrigues‐Jesus, Deiziane Viana da Silva Costa, Cirle Alcantara Warren, Laasya Doppalapudi
article en

Abstract

Abstract Background Clostridioides difficile infection (CDI) is an urgent threat in the US. Because disease severity is strongly correlated with intestinal inflammation, the aim of this study was to identify fecal biomarkers associated with poor outcomes and investigate how these biomarkers are influenced by clinical variables. Methods Fecal samples from patients diagnosed with CDI were collected from April 2021 to February 2022. Levels of biomarkers for intestinal inflammation (myeloperoxidase-MPO, lipocalin-2-Lcn2, calprotectin, S100 calcium-binding protein B-S100B, IL-6 and brain-derived neurotrophic factor-BDNF) were measured by ELISA. C. difficile isolates were tested for binary toxins gene, cdtA/cdtB, by qPCR. Results The majority of patients were females (54%, 88/149), infected by binary positive strain (59%, 88/149) and with mean age of 61.4, (range: 21 to 96 years old). 43.2% (64/148) of the patients exhibited severe disease, 29.7% (44/148) were recurrent CDI cases, and 19.4% (29/149) died post-infection. Increased fecal levels of S100B (p=0.0006) and IL-6 (p=0.03) were detected in severe disease. Compared to non-severe cases, severe first CDI cases exhibited higher levels of S100B (p=0.002), and IL-6 (p=0.04), while severe recurrent cases showed significantly higher levels of MPO, Lcn2, and calprotectin. In addition, increased levels of MPO, calprotectin, and S100B correlated positively with age. Increased fecal IL-6 (p=0.03) and S100B (p=0.01) were detected in middle-aged (40-64 years old) severe cases. Increased MPO (p=0.02), calprotectin (p=0.01), Lcn2 (p=0.006), and S100B (p=0.02) were also detected in middle-aged and oldest-old severe cases. Furthermore, patients infected by binary positive strains had significantly higher levels of fecal MPO, Lcn2, calprotectin, and IL-6. Recurrent cases also showed higher levels of fecal MPO, Lcn2, and calprotectin compared to first episode CDI cases. Fecal markers of inflammation were independent of gender. Conclusion Our findings indicate that fecal S100B is a marker of CDI severity in middle-aged, middle-old, and oldest-old patients independent of gender. Additionally, elevated fecal biomarkers (MPO, Lcn2, calprotectin, S100B, and IL-6) appear to correlate with binary toxin positivity and recurrence. Disclosures Jae Hyun Shin, MD, Ferring: Grant/Research Support Cirle A. Warren, MD, Ferring Pharmaceuticals: Site PI for ROAR

Open Forum Infectious DiseasesVol. 12(Supplement_1)
University of Virginia (US)
Openalex Percentile: Top 98%
Clostridium difficile and Clostridium perfringens research
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.