Evidence map›Paper›PMID 36964264›Full record

ArticleDiabetologia2023

Infant gut microbiome composition correlated with type 1 diabetes acquisition in the general population: the ABIS study.

Malin Bélteky, Patricia L Milletich, Angelica P Ahrens, Eric W Triplett, Johnny Ludvigsson

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Diabetologia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
6.8field-weighted citation impact, top 2% of its field
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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 40 citations in OpenAlex.

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  17. Research Progress in the Relationship between Intestinal Flora and Diabetes Mellitus.Endocrine, metabolic & immune disorders drug targets · 2025
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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

5 authors at 3 institutions in 2 countries.

Malin BéltekyCrown Princess Victoria's Children's Hospital, Region Östergötland, Linköping, Sweden.ORCID https://orcid.org/0000-0002-4015-7075
Patricia L MilletichDepartment of Microbiology and Cell Science, University of Florida, Gainesville, FL, USA.ORCID https://orcid.org/0000-0002-7660-3057
Angelica P AhrensDepartment of Microbiology and Cell Science, University of Florida, Gainesville, FL, USA.ORCID https://orcid.org/0000-0002-1478-7559
Eric W TriplettDepartment of Microbiology and Cell Science, University of Florida, Gainesville, FL, USA. ewt@ufl.edu.ORCID https://orcid.org/0000-0002-1845-4866
Johnny LudvigssonCrown Princess Victoria's Children's Hospital, Region Östergötland, Linköping, Sweden.ORCID https://orcid.org/0000-0003-1695-5234
University of Florida · USLinköping University · SERegion Östergötland

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisWhile autoantibodies are traditional markers for type 1 diabetes development, we identified gut microbial biomarkers in 1-year-old infants associated with future type 1 diabetes up to 20 years before diagnosis.

methodsInfants enrolled in the longitudinal general population cohort All Babies In Southeast Sweden (ABIS) provided a stool sample at a mean age of 12.5 months. Samples (future type 1 diabetes, n=16; healthy controls, n=268) were subjected to 16S ribosomal RNA (rRNA) sequencing and quantitative PCR. Microbial differences at the taxonomic and core microbiome levels were assessed. PICRUSt was used to predict functional content from the 16S rRNA amplicons. Sixteen infants, with a future diagnosis of type 1 diabetes at a mean age of 13.3±5.4 years, and one hundred iterations of 32 matched control infants, who remained healthy up to 20 years of age, were analysed.

resultsParasutterella and Eubacterium were more abundant in healthy control infants, while Porphyromonas was differentially more abundant in infants with future type 1 diabetes diagnosis. Ruminococcus was a strong determinant in differentiating both control infants and those with future type 1 diabetes using random forest analysis and had differing trends of abundance when comparing control infants and those with future type 1 diabetes. Flavonifractor and UBA1819 were the strongest factors for differentiating control infants, showing higher abundance in control infants compared with those with future type 1 diabetes. Alternatively, Alistipes (more abundant in control infants) and Fusicatenibacter (mixed abundance patterns when comparing case and control infants) were the strongest factors for differentiating future type 1 diabetes. Predicted gene content regarding butyrate production and pyruvate fermentation was differentially observed to be higher in healthy control infants. CONCLUSIONS/

interpretationThis investigation suggests that microbial biomarkers for type 1 diabetes may be present as early as 1 year of age, as reflected in the taxonomic and functional differences of the microbial communities. The possibility of preventing disease onset by altering or promoting a 'healthy' gut microbiome is appealing. DATA AVAILABILITY: The forward and reverse 16S raw sequencing data generated in this study are available through the NCBI Sequence Read Archive under BioProject PRJNA875929. Associated sample metadata used for statistical comparison are available in the source data file. R codes used for statistical comparisons and figure generation are available at: https://github.com/PMilletich/T1D_Pipeline .

Indexed as

Diabetes Mellitus, Type 1Gastrointestinal MicrobiomeAdolescentBiomarkersChildFecesHumansInfantRNA, Ribosomal, 16SSwedenBiomarkersRNA, Ribosomal, 16SABISAutoimmunityGeneral population cohortHuman gut microbiomeInfancyType 1 diabetes

Identifiers

PMID36964264
OpenAlexW4360798713

What OpenQuestion holds

Textmetadata
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.