Evidence map›Paper›PMID 39951111›Full record

ReviewUrolithiasis2025

Molecular insights into cell signaling pathways in kidney stone formation.

Manpreet Kaur, Roja Varanasi, Debadatta Nayak, Simran Tandon, Vishal Agrawal, Chanderdeep Tandon

Abstract readReview
PubMed Publisher
In one paragraph

Review in Urolithiasis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Total flavonoids ofFrontiers in pharmacology · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. 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

6 authors.

Manpreet KaurAmity University, Punjab, Mohali, 140308, India.
Roja VaranasiCentral Council for Research in Homeopathy, New Delhi, 110058, India.
Debadatta NayakCentral Council for Research in Homeopathy, New Delhi, 110058, India.
Simran TandonAmity Institute of Molecular Medicine & Stem Cell Research, Amity University, Noida, Uttar Pradesh, 201313, India. standon1@amity.edu.
Vishal AgrawalAmity University, Punjab, Mohali, 140308, India.
Chanderdeep TandonAmity University, Noida, Uttar Pradesh, 201313, India. ctandon@amity.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urolithiasis, or kidney stones, has emerged as a significant public health concern. Despite this, effective treatments targeting stone formation and recurrence are limited. This review delves into the molecular mechanisms underlying the condition. Investigating these molecular aspects can address existing gaps in treatment options. Future research can uncover new therapeutic strategies by targeting downstream pathways, and effector molecules. Cell signaling pathways offer potential targets, as they involve complex interactions that can be modulated to address multiple clinical symptoms. An imbalance in calcium and oxalate levels can lead to kidney stone formation which is characterized by oxidative stress, inflammation, and cell death. The interplay between key organelles like the endoplasmic reticulum and mitochondria triggers stress pathways, including oxidative stress and apoptosis. This review consolidates recent advances in understanding the pathophysiology and signaling events associated with kidney stones.

Indexed as

Kidney CalculiSignal TransductionApoptosisCalcium OxalateEndoplasmic Reticulum StressHumansMitochondriaOxalatesOxidative StressCalcium OxalateOxalatesCell deathHypercalciuriaHyperoxaluriaInflammationInhibitorsOxidative stressSignaling pathwaysUrolithiasis

Identifiers

PMID39951111

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.