Evidence map›Paper›PMID 41650196›Full record

ArticlePloS one2026

Maternal and demographic factors influencing oral Candida albicans in infants: A stratified analysis using a novel partial linear semiparametric mixed-effects model.

Sami Leon, Nora Alomeir, Jin Xiao, Tong Tong Wu

Abstract read
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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Sami LeonDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York, United States of America.
Nora AlomeirEastman Institute for Oral Health, University of Rochester Medical Center, Rochester, New York, United States of America.ORCID https://orcid.org/0000-0002-6893-3697
Jin XiaoEastman Institute for Oral Health, University of Rochester Medical Center, Rochester, New York, United States of America.
Tong Tong WuDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York, United States of America.ORCID https://orcid.org/0000-0002-1175-9923

Funding

Understand biological factors underlying early childhood caries disparity from the oral microbiome in early infancyR01DE031025 · NIDCR · UNIVERSITY OF ROCHESTER · PI STEVEN R. GILL, Tongtong Wu · 2022 to 2026
$3.9M
NIDCR NIH HHS R01 DE031025
6 · The paper itself

Abstract

Candida albicans, a pathogenic fungus implicated in early childhood caries (ECC), plays a crucial role in oral health. While its colonization usually begins at birth, the extent of maternal involvement in yeast transmission to their offspring, particularly across different racial groups, remains unclear. Studies have shown elevated levels of C. albicans in both mothers and children, with genetically related fungal strains, suggesting maternal transmission, but the racial component, notably higher levels in Black children, lacks thorough investigation of underlying factors. Our research aimed to address this gap by investigating how maternal and demographic factors such as socioeconomic status and oral health affect C. albicans levels in infants across Black and non-Black populations. Employing a partial linear semiparametric mixed-effects model (PLSMM) with variable selection and race-based stratification, we identified predictors that have different effects depending on the infant's race among a large pool of predictors. Through this stratified analysis, we aimed to discern crucial factors significantly contributing to C. albicans colonization while minimizing the impact of irrelevant or redundant variables. In this stratified analysis, exclusive breastfeeding ([Formula: see text]) and maternal marriage ([Formula: see text]) were significant predictors among non-Black infants, while maternal employment ([Formula: see text]) and post-delivery maternal C. albicans ([Formula: see text]) were significant among Black infants. Our findings highlighted race-specific associations between C. albicans levels in children and factors such as breastfeeding practices, marital status, maternal oral hygiene, and maternal C. albicans levels. Our study underscores the importance of race-specific considerations in understanding C. albicans colonization in infants, offering insights for tailored interventions and healthcare strategies, particularly for vulnerable populations.

Indexed as

Candida albicansCandidiasis, OralMouthBreast FeedingDemographyFemaleHumansInfantInfectious Disease Transmission, VerticalMaleOral Health

Identifiers

PMID41650196
PMCPMC12880753

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.