SynthesisAging cell2024
Proteome-wide profiling reveals dysregulated molecular features and accelerated aging in osteoporosis: A 9.8-year prospective study.
Synthesis in Aging cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.
What it found
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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.
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Who cites it
23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.
- Proteomic Biomarkers Associated with Low Bone Mineral Density: A Systematic Review.International journal of molecular sciences · 2024Pooled it
- Proteome-wide profiling reveals dysregulated molecular features and accelerated aging in osteoporosis: A 9.8-year prospective study.Aging cell · 2024Pooled it
- Article
- Apolipoprotein variations across APOE genotypes in young and elderly patients with coronary heart disease.Bioscience reports · 2026Article
- Meta-ERS: an exposome-based risk score using non-genetic factors to guide osteoporosis prevention.Journal of translational medicine · 2026Article
- Optimal machine learning models and factors for global infectious diseases: An ecological analysis.Infectious medicine · 2026Article
- Integrative Single-Cell RNA Sequencing and Machine Learning Reveals Candidate Plasma Protein-Associated Gene Signatures for Osteoporosis: A Preliminary Exploratory in Silico Study.International journal of general medicine · 2026Article
- CD4Combinatorial chemistry & high throughput screening · 2026Article
- Global knowledge graph of osteoporosis biomarkers based on large language model embeddings and complex network algorithms.Frontiers in endocrinology · 2026Article
- Leveraging Proteomics and Proteogenomics for Understanding Osteoporosis and Other Musculoskeletal Diseases.Current osteoporosis reports · 2025Review
- Plasma proteomic profiles reveal proteins and three characteristic patterns associated with osteoporosis: A prospective cohort study.Journal of advanced research · 2025Article
- Proteomic profiling of bone tissue reveals distinct pathways in men and women with osteoporosis.Age and ageing · 2025Article
- Beyond Bone Loss: A Biology Perspective on Osteoporosis Pathogenesis, Multi-Omics Approaches, and Interconnected Mechanisms.Biomedicines · 2025Review
- The diagnostic value of the combined application of blood lipid metabolism markers and interleukin-6 in osteoporosis and osteopenia.Lipids in health and disease · 2025Article
- Application of artificial intelligence in osteoporosis: a review.Frontiers in medicine · 2025Review
- An updated overview of the search for biomarkers of osteoporosis based on human proteomics.Journal of orthopaedic translation · 2024Review
- From Genomics to Metabolomics: Molecular Insights into Osteoporosis for Enhanced Diagnostic and Therapeutic Approaches.Biomedicines · 2024Review
- Evaluation of Functional Components ofFoods (Basel, Switzerland) · 2024Article
- Nonlinear relationship between cardiometabolic index and bone mineral density in U.S. adults: the mediating role of percent body fat.Scientific reports · 2024Article
- Proteomic Insights into Osteoporosis: Unraveling Diagnostic Markers of and Therapeutic Targets for the Metabolic Bone Disease.Biomolecules · 2024Review
Corrections and comments
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Authors and funding
16 authors at 3 institutions in 1 country.
Funding
Abstract
The role of circulatory proteomics in osteoporosis is unclear. Proteome-wide profiling holds the potential to offer mechanistic insights into osteoporosis. Serum proteome with 413 proteins was profiled by liquid chromatography-tandem mass spectrometry (LC-MS/MS) at baseline, and the 2nd, and 3rd follow-ups (7704 person-tests) in the prospective Chinese cohorts with 9.8 follow-up years: discovery cohort (n = 1785) and internal validation cohort (n = 1630). Bone mineral density (BMD) was measured using dual-energy X-ray absorptiometry (DXA) at follow-ups 1 through 3 at lumbar spine (LS) and femoral neck (FN). We used the Light Gradient Boosting Machine (LightGBM) to identify the osteoporosis (OP)-related proteomic features. The relationships between serum proteins and BMD in the two cohorts were estimated by linear mixed-effects model (LMM). Meta-analysis was then performed to explore the combined associations. We identified 53 proteins associated with osteoporosis using LightGBM, and a meta-analysis showed that 22 of these proteins illuminated a significant correlation with BMD (p < 0.05). The most common proteins among them were PHLD, SAMP, PEDF, HPTR, APOA1, SHBG, CO6, A2MG, CBPN, RAIN APOD, and THBG. The identified proteins were used to generate the biological age (BA) of bone. Each 1 SD-year increase in KDM-Proage was associated with higher risk of LS-OP (hazard ratio [HR], 1.25; 95% CI, 1.14-1.36, p = 4.96 × 10
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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.