Evidence map›Paper›PMID 41127036›Full record

ArticleCurrent developments in nutrition2025

Exploring the Effects of Dietary Intake on Gut Microbiome Diversity and Composition of Older Adults with Type 1 Diabetes: A Pilot Study.

Aastha S Dubal, Angelica Cristello Sarteau, Maria Andrea Azcarate-Peril, Zorka Djukic, Gabriella Ercolino, Angela Fruik, Julia Ho, Zoe Lee, Jeffrey Roach, Michael Valancius and 3 more

Abstract read
In one paragraph

Article in Current developments in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Prolonging Partial Remission in Type 1 Diabetes: The Role of Low-Carbohydrate Diet: A Literature Review.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026
    Review
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.

Aastha S DubalGillings School of Global Public Health, Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Angelica Cristello SarteauGillings School of Global Public Health, Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Maria Andrea Azcarate-PerilSchool of Medicine, Microbiome Core, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Zorka DjukicGillings School of Global Public Health, Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Gabriella ErcolinoGillings School of Global Public Health, Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Angela FruikGillings School of Global Public Health, Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Julia HoGillings School of Global Public Health, Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Zoe LeeGillings School of Global Public Health, Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Jeffrey RoachSchool of Medicine, Microbiome Core, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Michael ValanciusGillings School of Global Public Health, Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Laura A YoungSchool of Medicine, Department of Endocrinology and Metabolism, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Ian M CarrollGillings School of Global Public Health, Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Anna R KahkoskaGillings School of Global Public Health, Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gut microbiome diversity and composition have been associated with type 1 diabetes (T1D) onset and progression. These features have not been explored among the growing number of older adults with T1D, including how they may differ by diet. Objectives: In the present observational study, we investigated differences in gut microbiome diversity and composition across quantiles of high and low macronutrient, fiber, and simple sugar intake. Methods: We collected observational data on routine diabetes management, diet, and other health indicators from older adults with T1D over 7-9 d, including 2 24-h dietary recall interviews, diabetes technology, and medical record data. Stool samples were collected for gut microbiome characterization using high-throughput sequencing of the 16S ribosomal RNA gene. Gut microbiome characteristics were assessed by Analysis of Compositions of Microbiomes with Bias Correction (ANCOM-BC2), Shannon index, and Bray-Curtis distances. Results: Among 17 older adults [mean (SD) age 73.5 (6.2) y; diabetes duration: 34.0 (16.0) y, and glycated hemoglobin: 7.0 (0.9) %], increased fat intake was associated with enriched genus Conclusions: We found statistically significant evidence suggesting that the gut microbiome of older adults with T1D may be modulated by macronutrient, fiber, and fructose intake. Similar trends between fiber intake differences and significantly different microbial community structure have been found in younger populations. Together with the literature, our other findings suggest that macronutrient, fiber, and fructose intakes may impact the gut microbiome differently in older adults with T1D.

Indexed as

agingfiberfructosegut microbiomemacronutrienttype 1 diabetes

Identifiers

PMID41127036
PMCPMC12538417

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.