Evidence map›Paper›PMID 31969651›Full record

ArticleCommunications biology2020

Quantification of aminobutyric acids and their clinical applications as biomarkers for osteoporosis.

Zhiying Wang, Liangqiao Bian, Chenglin Mo, Hui Shen, Lan Juan Zhao, Kuan-Jui Su, Maciej Kukula, Jauh Tzuoh Lee, Daniel W Armstrong, Robert Recker and 4 more

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

  1. New Mediators in the Crosstalk between Different Adipose Tissues.International journal of molecular sciences · 2024
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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

14 authors at 4 institutions in 1 country.

Zhiying Wang *Bone-Muscle Research Center, College of Nursing and Health Innovation, University of Texas at Arlington, Arlington, TX, 76019, USA.ORCID http://orcid.org/0000-0003-0358-6337
Liangqiao Bian *Shimadzu Center for Advanced Analytical Chemistry, University of Texas at Arlington, Arlington, TX, 76019, USA.
Chenglin MoBone-Muscle Research Center, College of Nursing and Health Innovation, University of Texas at Arlington, Arlington, TX, 76019, USA.ORCID http://orcid.org/0000-0002-0201-6140
Hui ShenTulane Center of Bioinformatics and Genomics, Department of Biostatistics and Data Science, Tulane University, New Orleans, LA, 70112, USA.ORCID http://orcid.org/0000-0003-0335-6064
Lan Juan ZhaoTulane Center of Bioinformatics and Genomics, Department of Biostatistics and Data Science, Tulane University, New Orleans, LA, 70112, USA.ORCID http://orcid.org/0000-0001-6342-2495
Kuan-Jui SuTulane Center of Bioinformatics and Genomics, Department of Biostatistics and Data Science, Tulane University, New Orleans, LA, 70112, USA.ORCID http://orcid.org/0000-0002-5163-9774
Maciej KukulaShimadzu Center for Advanced Analytical Chemistry, University of Texas at Arlington, Arlington, TX, 76019, USA.
Jauh Tzuoh LeeAZYP LLC - Separation & Analytics, Arlington, TX, 76019, USA.
Daniel W ArmstrongDepartment of Chemistry and Biochemistry, College of Science, University of Texas at Arlington, Arlington, TX, 76019, USA.
Robert ReckerSchool of Medicine Osteoporosis Research Center, Creighton University, Omaha, NE, 68122, USA.
Joan LappeSchool of Medicine Osteoporosis Research Center, Creighton University, Omaha, NE, 68122, USA.
Lynda F BonewaldIndiana Center for Musculoskeletal Health, School of Medicine, Indiana University, Indianapolis, IN, 46202, USA.ORCID http://orcid.org/0000-0002-5536-9943
Hong-Wen DengTulane Center of Bioinformatics and Genomics, Department of Biostatistics and Data Science, Tulane University, New Orleans, LA, 70112, USA.ORCID http://orcid.org/0000-0002-0387-8818
Marco BrottoBone-Muscle Research Center, College of Nursing and Health Innovation, University of Texas at Arlington, Arlington, TX, 76019, USA. marco.brotto@uta.edu.ORCID http://orcid.org/0000-0002-3199-9721
The University of Texas at Arlington · USTulane University · USCreighton University · USIndiana University – Purdue University Indianapolis · US

Funding

Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI Ning Liu · 2016 to 2026
$25.3M
Trans-omics Integration of Multi-omics Studies for OsteoporosisU19AG055373 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI Chuan Qiu · 2017 to 2026
$24.3M
Transgenic and Mechanical Loading CoreP01AG039355 · NIA · UNIVERSITY OF MISSOURI KANSAS CITY · PI BONEWALD, LYNDA F · 2012 to 2024
$19.3M
Nutrigenetics and Nutrigenomics for Precision Weight-Loss Diet InterventionsR01DK115679 · NIDDK · TULANE UNIVERSITY OF LOUISIANA · PI Lu Qi · 2018 to 2026
$5.3M
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
Regulation of Store-Operated Calcium Entry During Muscle AgingR01AG056504 · NIA · OHIO STATE UNIVERSITY · PI BROTTO, MARCO, WEISLEDER, NOAH · 2018 to 2022
$2.6M
Loss of Numb in Muscle Dysfunction in AgingR01AG060341 · NIA · BRONX VETERANS MEDICAL RESEARCH FDN · PI BROTTO, MARCO, CARDOZO, CHRISTOPHER P · 2018 to 2022
$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
NIAMS NIH HHS R01 AR059781NIAMS NIH HHS R01 AR069055NIA NIH HHS P01 AG039355NIA NIH HHS R01 AG056504NIA NIH HHS R01 AG060341NIA NIH HHS U19 AG055373NIDDK NIH HHS R01 DK115679NIGMS NIH HHS P20 GM109036NIGMS NIH HHS R01 GM109068NIMH NIH HHS R01 MH104680NIMH NIH HHS R01 MH107354
6 · The paper itself

Abstract

Osteoporosis is a highly prevalent chronic aging-related disease that frequently is only detected after fracture. We hypothesized that aminobutyric acids could serve as biomarkers for osteoporosis. We developed a quick, accurate, and sensitive screening method for aminobutyric acid isomers and enantiomers yielding correlations with bone mineral density (BMD) and osteoporotic fracture. In serum, γ-aminobutyric acid (GABA) and (R)-3-aminoisobutyric acid (D-BAIBA) have positive associations with physical activity in young lean women. D-BAIBA positively associated with hip BMD in older individuals without osteoporosis/osteopenia. Lower levels of GABA were observed in 60-80 year old women with osteoporotic fractures. Single nucleotide polymorphisms in seven genes related to these metabolites associated with BMD and osteoporosis. In peripheral blood monocytes, dihydropyrimidine dehydrogenase, an enzyme essential to D-BAIBA generation, exhibited positive association with physical activity and hip BMD. Along with their signaling roles, BAIBA and GABA might serve as biomarkers for diagnosis and treatments of osteoporosis.

Indexed as

BiomarkersMetabolomicsAgedAged, 80 and overAminobutyratesAnimalsBody FluidsChromatography, LiquidFemaleGene Expression ProfilingHumansMetabolomeMiceMiddle AgedModels, BiologicalOsteoporosisAminobutyratesBiomarkers

Identifiers

PMID31969651
PMCPMC6976694
OpenAlexW3001329756

What OpenQuestion holds

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LicenceCC BY
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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.