Evidence map›Paper›PMID 33434288›Full record

ArticleJournal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research2021

Metabolomics Insights into Osteoporosis Through Association With Bone Mineral Density.

Xiaoyu Zhang, Hanfei Xu, Gloria Hy Li, Michelle T Long, Ching-Lung Cheung, Ramachandran S Vasan, Yi-Hsiang Hsu, Douglas P Kiel, Ching-Ti Liu

Open access · greenAbstract read
In one paragraph

Article in Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 3 pooled it
3.3field-weighted citation impact, top 7% 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

44 citing papers in PubMed, 3 syntheses or guidelines pooled it, 68 citations in OpenAlex.

  1. Pooled it
  2. Low Circulating Valine Associate With High Risk of Hip Fractures.The Journal of clinical endocrinology and metabolism · 2023
    Pooled it
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  13. Emerging applications of feature selection in osteoporosis research: from biomarker discovery to clinical decision support.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2025
    Review
  14. Review
  15. Metabolomic evaluation of air pollution-related bone damage and potential mediation in Women's Health Initiative participants.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2025
    Article
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  19. [Moxibustion Inhibits Postmenopausal Bone Loss by Regulating the Metabolism of Gut Microbiota-Related Serotonin].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
    Article
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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

9 authors at 4 institutions in 2 countries.

Xiaoyu ZhangDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Hanfei XuDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Gloria Hy LiDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China.
Michelle T LongSection of Gastroenterology, Boston Medical Center, Boston University School of Medicine, Boston, MA, USA.
Ching-Lung CheungDepartment of Pharmacology and Pharmacy, The University of Hong Kong, Pokfulam, Hong Kong, China.ORCID 0000-0002-6233-9144
Ramachandran S VasanNational Heart, Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA.
Yi-Hsiang HsuHinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA.
Douglas P KielHinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA.ORCID 0000-0001-8474-0310
Ching-Ti LiuDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.ORCID 0000-0002-0703-0742
Boston University · USBroad Institute · USHong Kong Polytechnic University · HKUniversity of Hong Kong · HK

Funding

FRAMINGHAM HEART STUDY - YEAR 5 EXAM75N92019D00031 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · 2019 to 2024
$29.8M
RISK FACTORS FOR VERTEBRAL FRACTURE AND BONE LOSSR01AR041398 · NIAMS · RHODE ISLAND HOSPITAL (PROVIDENCE, RI) · PI KIEL, DOUGLAS P. · 1991 to 2025
$16.1M
Metabolomic predictors of insulin resistance and diabetesR01DK081572 · NIDDK · VANDERBILT UNIVERSITY · PI CLISH, CLARY B, GERSZTEN, ROBERT E · 2008 to 2025
$9.3M
Identifying Osteoporosis Genes by Whole Genome Sequencing and Functional Validation in Zebra FishR01AR072199 · NIAMS · HEBREW REHABILITATION CENTER FOR AGED · PI HSU, YI-HSIANG · 2017 to 2022
$3.2M
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
–
NHLBI NIH HHS 75N92019D00031NHLBI NIH HHS HHSN268201500001CNHLBI NIH HHS HHSN268201500001INHLBI NIH HHS N01 HC025195NIAMS NIH HHS R01 AR041398NIAMS NIH HHS R01 AR072199NIDDK NIH HHS R01 DK081572
6 · The paper itself

Abstract

Osteoporosis, a disease characterized by low bone mineral density (BMD), increases the risk for fractures. Conventional risk factors alone do not completely explain measured BMD or osteoporotic fracture risk. Metabolomics may provide additional information. We aim to identify BMD-associated metabolomic markers that are predictive of fracture risk. We assessed 209 plasma metabolites by liquid chromatography with tandem mass spectrometry (LC-MS/MS) in 1552 Framingham Offspring Study participants, and measured femoral neck (FN) and lumbar spine (LS) BMD 2 to 10 years later using dual-energy X-ray absorptiometry. We assessed osteoporotic fractures up to 27-year follow-up after metabolomic profiling. We identified 27 metabolites associated with FN-BMD or LS-BMD by LASSO regression with internal validation. Incorporating selected metabolites significantly improved the prediction and the classification of osteoporotic fracture risk beyond conventional risk factors (area under the curve [AUC] = 0.74 for the model with identified metabolites and risk factors versus AUC = 0.70 with risk factors alone, p = .001; net reclassification index = 0.07, p = .03). We replicated significant improvement in fracture prediction by incorporating selected metabolites in 634 participants from the Hong Kong Osteoporosis Study (HKOS). The glycine, serine, and threonine metabolism pathway (including four identified metabolites: creatine, dimethylglycine, glycine, and serine) was significantly enriched (false discovery rate [FDR] p value = .028). Furthermore, three causally related metabolites (glycine, phosphatidylcholine [PC], and triacylglycerol [TAG]) were negatively associated with FN-BMD, whereas PC and TAG were negatively associated with LS-BMD through Mendelian randomization analysis. In summary, metabolites associated with BMD are helpful in osteoporotic fracture risk prediction. Potential causal mechanisms explaining the three metabolites on BMD are worthy of further experimental validation. Our findings may provide novel insights into the pathogenesis of osteoporosis. © 2021 American Society for Bone and Mineral Research (ASBMR).

Indexed as

OsteoporosisOsteoporotic FracturesAbsorptiometry, PhotonBone DensityChromatography, LiquidHumansLumbar VertebraeMetabolomicsTandem Mass SpectrometryDXAFRACTURE RISK ASSESSMENT METABOLOMICSGENERAL POPULATION STUDIESOSTEOPOROSIS

Identifiers

PMID33434288
PMCPMC8488880
OpenAlexW3119207194

What OpenQuestion holds

Textmetadata
LicenceTDM
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.