ReviewCurrent osteoporosis reports2026
Transcriptomics in the Study of Bone and Cartilage.
Review in Current osteoporosis reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Multi‑omics approaches to decipher the molecular mechanisms of exercise‑mediated bone protection: From mechanistic insights to personalized exercise prescription (Review).Molecular medicine reports · 2026Review
- Advances in Research on Autophagy in Steroid-Induced Osteonecrosis of the Femoral Head: Dual Regulation of Its Beneficial and Detrimental Effects.Drug design, development and therapy · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewThis review article summarizes progress made using transcriptomics, in particular RNA-seq studies such as bulk, single cell (sc) and spatial sequencing results, in the study of bone and cartilage in the context of osteoarthritis (OA) and osteoporosis (OP) over the past two years. RECENT
findingsRecent advances in OA and OP research using advanced transcriptomics technologies have been crucial in the identification of cellular and molecular patterns of disease, facilitating a deeper knowledge of disease endotypes, mechanisms, and putative therapeutic targets. Increased use of public data repositories for hypothesis building and validation studies is an emerging theme in transcriptomics research, emphasizing the usefulness of growing transcriptomics databases to the research community. Due to unique challenges associated with bone and cartilage, it has been relatively difficult to deploy spatial sequencing in these tissues, however effective protocols for spatial sequencing have emerged, unlocking new potential for discovery.
Indexed as
Identifiers
41575628What OpenQuestion holds
Registered trials
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.