Evidence map›Paper›PMID 37293495›Full record

ReviewFrontiers in endocrinology2023

V2 vasopressin receptor mutations: future personalized therapy based on individual molecular biology.

László Sándor Erdélyi, László Hunyady, András Balla

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. SAR-Guided Scaffold Innovation of Selective VACS medicinal chemistry letters · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Ciliary G-Protein Coupled Receptor Signaling in Polycystic Kidney Disease.International journal of molecular sciences · 2025
    Review
  7. Article
  8. Article
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 at 2 institutions in 1 country.

László Sándor ErdélyiDepartment of Anesthesiology and Intensive Therapy, Semmelweis University, Budapest, Hungary.
László HunyadyDepartment of Physiology, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
András BallaDepartment of Physiology, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
Semmelweis University · HUHungarian Research Network · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diluting and concentrating function of the kidney plays a crucial role in regulating the water homeostasis of the body. This function is regulated by the antidiuretic hormone, arginine vasopressin through the type 2 vasopressin receptor (V2R), allowing the body to adapt to periods of water load or water restriction. Loss-of-function mutations of the V2R cause X-linked nephrogenic diabetes insipidus (XNDI), which is characterized by polyuria, polydipsia, and hyposthenuria. Gain-of-function mutations of the V2R lead to nephrogenic syndrome of inappropriate antidiuresis disease (NSIAD), which results in hyponatremia. Various mechanisms may be responsible for the impaired receptor functions, and this review provides an overview of recent findings about the potential therapeutic interventions in the light of the current experimental data.

Indexed as

Receptors, VasopressinVasopressinsMolecular BiologyMutationWaterReceptors, VasopressinVasopressinsWaterarginine-vasopressin (AVP)AVPR2 geneG protein-coupled receptor (GPCR)nephrogenic diabetes insipidus (NDI)nephrogenic syndrome of inappropriate antidiuresis (NSIAD)type 2 vasopressin receptor (V2R)

Identifiers

PMID37293495
PMCPMC10244717
OpenAlexW4378072348

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.