Evidence map›Paper›PMID 42459469›Full record

ArticleFrontiers in public health2026

Neighborhood-level socioeconomic disadvantage is associated with gut microbial composition and diversity across many chronic disease states.

Josiah E Radder, Kelvin Li, Melissa Saul, Mehdi Nouraie, Heather Gentry, Asha Patel, Cathy Kessinger, Adam Fitch, Daniel G Dunlap, Georgios D Kitsios and 3 more

Abstract read
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Josiah E RadderDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Kelvin LiDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Melissa SaulDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Mehdi NouraieDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Heather GentryDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Asha PatelDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Cathy KessingerDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Adam FitchDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Daniel G DunlapDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Georgios D KitsiosDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Yingze ZhangDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Barbara A Methé *Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Alison Morris *Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Socioeconomic disparities play a major role in health and disease. Growing evidence suggests that healthcare access accounts for only part of these outcomes, and additional biological mechanisms remain to be elucidated. The gut microbiome is a central component of health and disease and can be affected by environmental factors and socioeconomic disparities. Methods: Using a large cohort with diverse comorbidities identified in the Elixhauser comorbidity index, we tested for association between area deprivation index (ADI), a neighborhood-level measurement of socioeconomic disadvantage in the United States, and taxonomic profiles of gut microbiota (16S rRNA gene sequences) to examine the effect of (1) covariates (age, sex, and smoking), ADI, and microbiota on comorbidities and (2) covariates, ADI, and comorbidities on microbiota. Findings: Covariates explained several associations, and ADI was associated with multiple comorbidities as assessed using generalized linear models (GLMs) augmented with ADI regression splines. Most associations with ADI were nonlinear, and the associations were most frequent among individuals living in more disadvantaged neighborhoods. Multivariate analysis of variance (MANOVA) revealed a significant effect of ADI on the collective microbiota of the cohort. Individual microbial taxa were identified in association with ADI, ranging from potentially more beneficial to human health to more disease-promoting, whereas microbial diversity was negatively associated with over half of the disease associations. Interpretation: These findings indicate that ADI is associated with alterations to the gut microbiome and common disease states.

Indexed as

Gastrointestinal MicrobiomeNeighborhood CharacteristicsAdultAgedChronic DiseaseCohort StudiesComorbidityFemaleHumansLow Socioeconomic StatusMaleMiddle AgedRNA, Ribosomal, 16SSocioeconomic Disparities in HealthSocioeconomic FactorsUnited StatesRNA, Ribosomal, 16Schronic diseasegut microbiomehealth disparitiesmicrobiomeneighborhood level socioeconomic disadvantage

Identifiers

PMID42459469
PMCPMC13368754

What OpenQuestion holds

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LicenceCC BY
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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.