Evidence map›Paper›PMID 42162256›Full record

ReviewNature reviews. Endocrinology2026

The pathogenesis and intersecting mechanisms of monogenic bone mass disorders.

Raja Padidela, Gretl Hendrickx, Geert Mortier, Outi Mäkitie

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Endocrinology, 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

4 authors.

Raja Padidela *Department of Paediatric Endocrinology and Metabolic Bone Diseases, Royal Manchester Children's Hospital, Manchester, UK.
Gretl Hendrickx *Department of Human Genetics, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0001-6715-9241
Geert MortierDepartment of Human Genetics, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0001-9871-4578
Outi MäkitieChildren's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland. outi.makitie@helsinki.fi.ORCID http://orcid.org/0000-0002-4547-001X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monogenic disorders of bone mass arise from variants in single genes disrupting the intricate processes of bone formation and resorption. Genes underlying bone mass disorders are involved in various intersecting molecular mechanisms in cells of the mesenchymal and haematopoietic lineages. Signalling pathways, including WNT-β-catenin, TGFβ-BMP and NF-κB, have central roles in bone metabolism, and variants in their regulators or effectors can have opposing effects on bone mass. Defects in osteoblast differentiation, collagen biosynthesis and extracellular matrix mineralization primarily drive the pathogenesis of low bone mass (LBM) conditions, exemplified by various forms of osteogenesis imperfecta. Conversely, impaired osteoclast differentiation and function, or enhanced osteoblastic activity underlie high bone mass (HBM) disorders, such as osteopetrosis and osteosclerosis. A subset of genes have pleiotropic effects, contributing to both LBM and HBM disorders depending on the genetic background. Advances in genetics have not only elucidated pathogenic mechanisms, but also enabled the development of targeted therapies, including anti-sclerostin antibodies and enzyme replacement therapies. However, most LBM and HBM conditions still have no cure. Understanding the shared and divergent mechanisms of bone mass regulation will offer insights into future therapeutic strategies.

Indexed as

Bone DensityBone DiseasesAnimalsHumansOsteoblastsOsteogenesis ImperfectaOsteopetrosisSignal Transduction

Identifiers

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.