Evidence map›Paper›PMID 41393297›Full record

ReviewFrontiers in endocrinology2025

G-protein coupled receptors synergy in bone health: new avenues for osteoporosis detection and

Julia V Sopova, Olga A Krasnova, Julia D Kriukova, Yana O Mukhamedshina, Elena Y Zakirova, Albert A Rizvanov, Olga M Lesnyak, Irina E Neganova

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in endocrinology, 2025. 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

8 authors.

Julia V SopovaInstitute of Cytology, Russian Academy of Sciences, Saint-Petersburg, Russia.
Olga A KrasnovaInstitute of Cytology, Russian Academy of Sciences, Saint-Petersburg, Russia.
Julia D KriukovaInstitute of Cytology, Russian Academy of Sciences, Saint-Petersburg, Russia.
Yana O MukhamedshinaInstitute of Fundamental Medicine and Biology, Kazan (Volga Region) Federal University, Kazan, Russia.
Elena Y ZakirovaInstitute of Fundamental Medicine and Biology, Kazan (Volga Region) Federal University, Kazan, Russia.
Albert A RizvanovInstitute of Fundamental Medicine and Biology, Kazan (Volga Region) Federal University, Kazan, Russia.
Olga M LesnyakDepartment of Family Medicine, North-Western State Medical University Named After I.I. Mechnikov, St. Petersburg, Russia.
Irina E NeganovaInstitute of Cytology, Russian Academy of Sciences, Saint-Petersburg, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoporosis remains a substantial healthcare burden in modern times. Current diagnostic methods of osteoporosis detect changes in bone mineral density and microarchitecture, which have already occurred. It is critically important to develop methods of early diagnosis of osteoporosis to be able to plan early interventions in order to stop the disease progression. Genetic screening based on early osteoporosis marker genes appears to be a promising approach for early diagnosis and prevention. However, a significant gap exists in this area of knowledge. Recently, we identified a novel combination of three single nucleotide polymorphisms -

Indexed as

Bone and BonesOsteoporosisReceptors, Adrenergic, beta-2Receptors, G-Protein-CoupledAnimalsBone DensityBone RemodelingHumansOsteogenesisPolymorphism, Single NucleotideReceptors, FSHReceptors, ThyrotropinReceptors, Adrenergic, beta-2Receptors, FSHReceptors, G-Protein-CoupledReceptors, ThyrotropinADRB2bone homeostasisbone remodelingFSHRosteoporosisSNPTSHR

Identifiers

PMID41393297
PMCPMC12695586

What Socratic 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 Socratic graph.