Evidence map›Paper›PMID 37708314›Full record

Observational studyThe journals of gerontology. Series A, Biological sciences and medical sciences2024

Establishment of Baseline Urinary Antimicrobial Peptide Levels by Age: A Prospective Observational Study.

Jeffrey M Caterino, Julie A Stephens, Randell Wexler, Carlos A Camargo, Katherine M Hunold, Lai Wei, David Hains, Lauren T Southerland, Jason J Bischof, Andrew Schwaderer

Abstract readObservational Study
In one paragraph

Observational study in The journals of gerontology. Series A, Biological sciences and medical sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Jeffrey M CaterinoDepartment of Emergency Medicine, The Ohio State University College of Medicine, Columbus, Ohio, USA.
Julie A StephensDepartment of Biomedical Informatics, Center for Biostatistics, The Ohio State University College of Medicine, Columbus, Ohio, USA.
Randell WexlerDepartment of Family and Community Medicine, The Ohio State University College of Medicine, Gahanna, Ohio, USA.
Carlos A CamargoDepartment of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Katherine M HunoldDepartment of Emergency Medicine, The Ohio State University College of Medicine, Columbus, Ohio, USA.
Lai WeiDepartment of Biomedical Informatics, Center for Biostatistics, The Ohio State University College of Medicine, Columbus, Ohio, USA.
David HainsDivision of Nephrology, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Lauren T SoutherlandDepartment of Emergency Medicine, The Ohio State University College of Medicine, Columbus, Ohio, USA.
Jason J BischofDepartment of Emergency Medicine, The Ohio State University College of Medicine, Columbus, Ohio, USA.
Andrew SchwadererDivision of Nephrology, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana, USA.

Funding

The OSU Center for Clinical and Translational Science: Advancing Today's Discoveries to Improve HealthUL1TR002733 · NCATS · OHIO STATE UNIVERSITY · PI RINGEL, MATTHEW D · 2018 to 2022
$28.9M
Urine antimicrobial proteins in older adults: aging, infection, & innate immunityR01AG050801 · NIA · OHIO STATE UNIVERSITY · PI CATERINO, JEFFREY M · 2016 to 2020
$2.8M
NCATS NIH HHS UL1 TR002733NCATS NIH HHS UL1TR002733NIA NIH HHS R01 AG050801NIA NIH HHS R01AG050801
6 · The paper itself

Abstract

backgroundAntimicrobial peptides (AMPs) are key effectors of urinary tract innate immunity. Identifying differences in urinary AMP levels between younger and older adults is important in understanding older adults' susceptibility and response to urinary tract infections (UTI) and AMP use as diagnostic biomarkers. We hypothesized that uninfected older adults have higher urinary human neutrophil peptides 1-3 (HNP 1-3), human alpha-defensin-5 (HD-5), and human beta-defensin-2 (hBD-2), but lower urinary cathelicidin (LL-37) than younger adults.

methodsWe conducted a cross-sectional study of patients aged ≥18 years completing a family medicine clinic nonacute visit. Enzyme-linked immunosorbent assays were performed for AMPs. We identified associations between age and AMPs using unadjusted and multivariable linear regression models.

resultsOf the 308 subjects, 144 (46.8%) were ≥65 years of age. Comparing age ≥65 versus < 65 years, there were no significant differences in HNP 1-3 (p = .371), HD5 (p = .834), or LL-37 (p = .348) levels. Values for hBD-2 were lower in older adults versus younger (p < .001). In multivariable analyses, older males and females had significantly lower hBD-2 levels (p < .001 and p = .004). Models also showed urine leukocyte esterase was associated with increased levels of HNP 1-3 and HD5; hematuria with increased hBD-2; and urine cultures with contamination with increased HNP 1-3 and hBD-2.

conclusionsBaseline urinary HNP 1-3, HD-5, and LL-37 did not vary with age. Older adults had lower baseline hBD-2. This finding has implications for the potential use of urinary AMPs as diagnostic markers and will facilitate further investigation into the role of innate immunity in UTI susceptibility in older adults.

Indexed as

BiomarkersUrinary Tract InfectionsAdultAgedAged, 80 and overAge Factorsalpha-DefensinsAntimicrobial Cationic PeptidesAntimicrobial Peptidesbeta-DefensinsCathelicidinsCross-Sectional StudiesEnzyme-Linked Immunosorbent AssayFemaleHumansImmunity, Innatealpha-DefensinsAntimicrobial Cationic PeptidesAntimicrobial Peptidesbeta-DefensinsBiomarkersCathelicidinsDEFB4A protein, humanBiomarkersInfectionUrological

Identifiers

PMID37708314
PMCPMC11083632

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.