Evidence map›Paper›PMID 29506141›Full record

ArticleThe Journal of clinical endocrinology and metabolism2018

Assessing the Associations of Blood Metabolites With Osteoporosis: A Mendelian Randomization Study.

Li Liu, Yan Wen, Lei Zhang, Peng Xu, Xiao Liang, Yanan Du, Ping Li, Awen He, QianRui Fan, Jingcan Hao and 6 more

Abstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Metabolomic biomarkers of low BMD: a systematic review.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2021
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  16. [Liver cirrhosis and secondary osteoporosis].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2021
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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

16 authors.

Li LiuKey Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission of the People's Republic of China, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China.
Yan WenKey Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission of the People's Republic of China, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China.
Lei ZhangJiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Suzhou, People's Republic of China.
Peng XuDepartment of Joint Surgery, Xi'an Red Cross Hospital, Xi'an, People's Republic of China.
Xiao LiangKey Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission of the People's Republic of China, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China.
Yanan DuKey Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission of the People's Republic of China, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China.
Ping LiKey Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission of the People's Republic of China, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China.
Awen HeKey Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission of the People's Republic of China, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China.
QianRui FanKey Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission of the People's Republic of China, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China.
Jingcan HaoThe First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, People's Republic of China.
Wenyu WangKey Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission of the People's Republic of China, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China.
Xiong GuoKey Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission of the People's Republic of China, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China.
Hui ShenCenter for Bioinformatics and Genomics, Department of Global Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana.
Qing TianCenter for Bioinformatics and Genomics, Department of Global Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana.
Feng ZhangKey Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission of the People's Republic of China, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China.
Hong-Wen DengCenter for Bioinformatics and Genomics, Department of Global Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana.

Funding

Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI JING CHEN · 2016 to 2026
$25.3M
Trans-omics Integration of Multi-omics Studies for OsteoporosisU19AG055373 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI HONG-WEN DENG · 2017 to 2026
$24.3M
RISK FACTORS FOR VERTEBRAL FRACTURE AND BONE LOSSR01AR041398 · NIAMS · RHODE ISLAND HOSPITAL (PROVIDENCE, RI) · PI KIEL, DOUGLAS P. · 1991 to 2025
$16.1M
Tulane Clinical Center for Chronic Renal Insufficiency Cohort StudyU01DK060963 · NIDDK · TULANE UNIVERSITY OF LOUISIANA · PI CHEN, JING, HAMM, L LEE · 2001 to 2025
$13.9M
SNP HEALTH ASSOCIATION RESOURCE (SHARE)N02HL64278 · NHLBI · PI CHIN, SIANG · 2007 to 2007
$9.2M
Epigenomewide DNA Methylation Study for Osteoporosis RiskR01AR059781 · NIAMS · TULANE UNIVERSITY OF LOUISIANA · PI DENG, HONG-WEN · 2012 to 2016
$3.1M
Decoding Methylation Mediated Epigenomic Contributions to Male OsteoporosisR01AR069055 · NIAMS · TULANE UNIVERSITY OF LOUISIANA · PI DENG, HONG-WEN · 2017 to 2021
$2.9M
Identification of Proteins Important for Male OsteoporosisR01AR057049 · NIAMS · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN · 2009 to 2013
$2.4M
Integration of brain imaging with genomic and epigenomic dataR01MH104680 · NIMH · TULANE UNIVERSITY OF LOUISIANA · PI CALHOUN, VINCE D, DENG, HONG-WEN · 2014 to 2017
$2.1M
Integration of fMRI imaging, genomics, network and biological knowledgeR01MH107354 · NIMH · TULANE UNIVERSITY OF LOUISIANA · PI WANG, YU-PING · 2015 to 2018
$1.9M
Integration of multiscale genomic data for comprehensive analysis of complex diseR01GM109068 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI WANG, YU-PING · 2014 to 2018
$1.6M
Research Training in Gene-Environment Interaction in ChinaD43TW009107 · FIC · TULANE UNIVERSITY OF LOUISIANA · PI GU, DONGFENG, HE, JIANG · 2012 to 2016
$1.1M
FIC NIH HHS D43 TW009107NHLBI NIH HHS N01 HC025195NHLBI NIH HHS N02 HL064278NHLBI NIH HHS N02 HL64278NIAMS NIH HHS R01 AR041398NIAMS NIH HHS R01 AR057049NIAMS NIH HHS R01 AR059781NIAMS NIH HHS R01 AR069055NIA NIH HHS U19 AG055373NIDDK NIH HHS U01 DK060963NIGMS NIH HHS P20 GM109036NIGMS NIH HHS R01 GM109068NIMH NIH HHS R01 MH104680NIMH NIH HHS R01 MH107354
6 · The paper itself

Abstract

Context: Osteoporosis is a metabolic bone disease. The effect of blood metabolites on the development of osteoporosis remains elusive. Objective: To explore the relationship between blood metabolites and osteoporosis. Design and Methods: We used 2286 unrelated white subjects for the discovery samples and 3143 unrelated white subjects from the Framingham Heart Study (FHS) for the replication samples. The bone mineral density (BMD) was measured using dual-energy X-ray absorptiometry. Genome-wide single nucleotide polymorphism (SNP) genotyping was performed using Affymetrix Human SNP Array 6.0 (for discovery samples) and Affymetrix SNP 500K and 50K array (for FHS replication samples). The SNP sets significantly associated with blood metabolites were obtained from a reported whole-genome sequencing study. For each subject, the genetic risk score of the metabolite was calculated from the genotype data of the metabolite-associated SNP sets. Pearson correlation analysis was conducted to evaluate the potential effect of blood metabolites on the variations in bone phenotypes; 10,000 permutations were conducted to calculate the empirical P value and false discovery rate. Results: We analyzed 481 blood metabolites. We identified multiple blood metabolites associated with hip BMD, such as 1,5-anhydroglucitol (Pdiscovery < 0.0001; Preplication = 0.0361), inosine (Pdiscovery = 0.0018; Preplication = 0.0256), theophylline (Pdiscovery = 0.0048; Preplication = 0.0433, gamma-glutamyl methionine (Pdiscovery = 0.0047; Preplication = 0.0471), 1-linoleoyl-2-arachidonoyl-GPC (18:2/20:4n6; Pdiscovery = 0.0018; Preplication = 0.0390), and X-12127 (Pdiscovery = 0.0002; Preplication = 0.0249). Conclusions: Our results suggest a modest effect of blood metabolites on the variations of BMD and identified several candidate blood metabolites for osteoporosis.

Indexed as

Absorptiometry, PhotonAdultAgedBiomarkersBone DensityFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMaleMendelian Randomization AnalysisMiddle AgedOsteoporosisPhenotypePolymorphism, Single NucleotideBiomarkers

Identifiers

PMID29506141
PMCPMC6456956

What Socratic 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 Socratic graph.