Evidence mapPaperPMID 41219653Full record

ReviewProbiotics and antimicrobial proteins2026

Gut Microbiota and Chronic Kidney Disease: A Complex Interplay with Implications for Diagnosis and Treatment.

Jasleen Kaur Lamba, Chanderdeep Tandon, Simran Tandon

Abstract readReview
PubMed Publisher
In one paragraph

Review in Probiotics and antimicrobial proteins, 2026. 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. 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

3 authors.

Jasleen Kaur LambaAmity University Punjab, Mohali, 140308, India.
Chanderdeep TandonAmity University Uttar Pradesh, Noida, 201301, India.
Simran TandonAmity Institute of Molecular Medicine & Stem Cell Research, Amity University Uttar Pradesh, Noida, 201301, India. standon1@amity.edu.ORCID http://orcid.org/0000-0002-6937-0216

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic kidney disease (CKD) progresses over the years with a steady loss of renal function, often culminating in renal failure. While diabetes and hypertension are the major drivers, the exact underlying molecular mechanism for CKD remains only partially understood. Emerging research has revealed a new paradigm, linking microbiota imbalance or dysbiosis with CKD. Dysbiosis leads to the development of uremic toxins, which aggravate kidney damage, inflammation, and metabolic disruptions that accelerate disease progression. This review explores the complex interactions between dysbiosis, uremic toxins, and the major risk factors, namely, diabetes and hypertension. Microbiome-targeted interventions, such as dietary interventions, probiotics, prebiotics, synbiotics, and fecal microbiota transplantation (FMT), are discussed with an emphasis on their therapeutic relevance in influencing renal health. Additionally, the potential of genetic engineering, particularly CRISPR-based systems, to develop 'smart bacteria' designed to restore gut health is also examined. Future perspectives highlight the need for personalized therapies targeting the gut-kidney axis. Incorporating microbiome modulation into standard CKD treatments holds the potential to slow disease progression, enhance recovery, and improve the quality of life for patients.

Indexed as

Gastrointestinal MicrobiomeRenal Insufficiency, ChronicAnimalsDysbiosisFecal Microbiota TransplantationHumansPrebioticsProbioticsSynbioticsUremic ToxinsPrebioticsUremic ToxinsChronic kidney diseaseDysbiosisGut microbiotaProbioticsUremic toxins

Identifiers

PMID41219653

What Socratic 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 Socratic graph.