Evidence map›Paper›PMID 40859872›Full record

ArticleAnnals of medicine2025

Dual-approach analysis of gut microbiome in patients with type 1 diabetes and diabetic kidney disease.

Laura Bunka, Maija Rozenberga, Ivars Silamiķelis, Rihards Saksis, Līga Birzniece, Kaspars Megnis, Aleksejs Fedulovs, Leonora Pahirko, Poļina Zaļizko, Eduards Krustiņš and 3 more

Abstract read
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Article in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

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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

13 authors.

Laura BunkaLatvian Biomedical Research and Study Centre, Riga, Latvia.
Maija RozenbergaLatvian Biomedical Research and Study Centre, Riga, Latvia.
Ivars SilamiķelisLatvian Biomedical Research and Study Centre, Riga, Latvia.
Rihards SaksisLatvian Biomedical Research and Study Centre, Riga, Latvia.
Līga BirznieceLatvian Biomedical Research and Study Centre, Riga, Latvia.
Kaspars MegnisLatvian Biomedical Research and Study Centre, Riga, Latvia.
Aleksejs FedulovsFaculty of Medicine and Life Sciences, University of Latvia, Riga, Latvia.
Leonora PahirkoFaculty of Science and Technology, University of Latvia, Riga, Latvia.
Poļina ZaļizkoFaculty of Medicine and Life Sciences, University of Latvia, Riga, Latvia.
Eduards KrustiņšGastroenterology, Hepatology and Nutrition Center, Pauls Stradins Clinical University Hospital, Riga, Latvia.
Jānis KloviņšLatvian Biomedical Research and Study Centre, Riga, Latvia.ORCID 0000-0001-8362-5505
Jeļizaveta SokolovskaFaculty of Medicine and Life Sciences, University of Latvia, Riga, Latvia.
Ilze ElbereLatvian Biomedical Research and Study Centre, Riga, Latvia.ORCID 0000-0003-4381-885X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 1 diabetes (T1D) is a multifactorial autoimmune disease mediated by genetic, epigenetic, and environmental factors. Diabetic kidney disease (DKD) is a major complication of diabetes mellitus which affects 30-40% of T1D patients. Increasing evidence suggests the significant role of the microbiome in the progression of both T1D and DKD. MATERIALS AND

methodsHere we recruited 76 T1D patients and 22 healthy controls and combined data from sigmoid colon biopsy samples analysed with V3-V4 region amplification of 16S rRNA gene and shotgun metagenomics data obtained from faecal samples. Additionally, we compared T1D patients with and without progression of DKD.

resultsWe observed significant differences within both sample types at various taxonomic and functional levels. T1D patient microbiota detected using biopsy samples had a lower abundance of the

conclusionAltogether, we present novel data about microbial signatures relevant to T1D and DKD progression, which partly supports previous data and also presents possible tissue type or population-specific elements. DKD progression is characterized with significant differences within the functional level of the gut microbiome.

Indexed as

Diabetes Mellitus, Type 1Diabetic NephropathiesGastrointestinal MicrobiomeAdultBacteroidesBiopsyCase-Control StudiesDisease ProgressionFecesFemaleHumansMaleMetagenomicsMiddle AgedRNA, Ribosomal, 16SYoung AdultRNA, Ribosomal, 16S16S rRNA gene analysiscontinuous glucose monitoringdiabetic kidney diseasemetagenome analysisType 1 diabetes

Identifiers

PMID40859872
PMCPMC12302470

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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 Socratic graph.