Evidence map›Paper›PMID 41933306›Full record

ArticleBMC nephrology2026

Intestinal microbiome and acute transplanted kidney rejection - results of a single-center, case-control study.

Marcin Adamczak, Patrycja Pokora, Mariusz Kaczmarczyk, Damian Gojowy, Anna Wierzbicka-Woś, Danuta Cembrowska-Lech, Aureliusz Kolonko, Igor Łoniewski, Andrzej Więcek

Abstract read
In one paragraph

Article in BMC nephrology, 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
–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

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

9 authors.

Marcin AdamczakDepartment of Nephrology, Transplantation and Internal Medicine, Medical University of Silesia in Katowice, Francuska 20/24, Katowice, 40-027, Poland. madamczak@sum.edu.pl.
Patrycja PokoraDepartment of Nephrology, Transplantation and Internal Medicine, Medical University of Silesia in Katowice, Francuska 20/24, Katowice, 40-027, Poland.
Mariusz KaczmarczykSanprobi sp. z o.o. sp. k., ul. Kurza Stopka 5C, Szczecin, 70-535, Poland.
Damian GojowyDepartment of Nephrology, Transplantation and Internal Medicine, Medical University of Silesia in Katowice, Francuska 20/24, Katowice, 40-027, Poland.
Anna Wierzbicka-WośSanprobi sp. z o.o. sp. k., ul. Kurza Stopka 5C, Szczecin, 70-535, Poland.
Danuta Cembrowska-LechSanprobi sp. z o.o. sp. k., ul. Kurza Stopka 5C, Szczecin, 70-535, Poland.
Aureliusz KolonkoDepartment of Nephrology, Transplantation and Internal Medicine, Medical University of Silesia in Katowice, Francuska 20/24, Katowice, 40-027, Poland.
Igor ŁoniewskiSanprobi sp. z o.o. sp. k., ul. Kurza Stopka 5C, Szczecin, 70-535, Poland.
Andrzej WięcekDepartment of Nephrology, Transplantation and Internal Medicine, Medical University of Silesia in Katowice, Francuska 20/24, Katowice, 40-027, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKidney transplantation (KTx) is the preferred form of renal replacement therapy. Acute rejection of the transplanted kidney (AR) may impair long-term outcomes. The gut microbiota influences immune system activity; however, its relationship with AR remains underexplored. This study aimed to investigate the relationship between the gut microbiome and risk of AR shortly after KTx.

methodsIn this single-center, retrospective case-control study, 10 patients with consecutive biopsy-proven AR shortly after KTx (median age 43 (38, 48) years) were matched by sex and age with 20 patients without AR (median age 42 (37, 48) years) during a one-year follow-up after KTx. Stool samples were collected 4–7 days after KTx for microbiome analysis using Illumina shallow shotgun sequencing. Bioinformatics analysis included taxonomic and functional profiling, with predictive modeling performed using a random forest model (RF). Model performance was evaluated using receiver operating characteristic (ROC) curves and the area under the curve (AUC).

resultsNo significant differences in gut microbiota diversity were observed between the groups. The differential abundance analysis did not identify any taxonomic features that remained significant after adjusting for possible covariates. The predictive RF models varied in performance, with functional KEGG pathway profiles showing the highest predictive value (AUC = 0.73). Key metabolic pathways implicated in such profiles included lipid metabolism, glycan biosynthesis and metabolism, and terpenoid and polyketide metabolism.

conclusionNo universal taxonomic gut microbiota markers for AR have been identified. The functional profile of the gut microbiome may be related to AR with specific metabolic pathways potentially involved in the underlying mechanisms. These findings suggest a role of immunomodulation, inflammation, and metabolic regulation in AR.

Indexed as

Gastrointestinal MicrobiomeGraft RejectionKidney TransplantationAcute DiseaseAdultCase-Control StudiesFecesFemaleHumansMaleMiddle AgedRetrospective StudiesAcute rejectionKidney transplantationMachine learningMicrobiome

Identifiers

PMID41933306
PMCPMC13173889

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.