Metabolic factors associated with incident fracture among older adults with type 2 diabetes mellitus: a nested case-control study.

dc.contributor.author

Lee, Richard H

dc.contributor.author

Bain, James

dc.contributor.author

Muehlbauer, Michael

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Ilkayeva, Olga

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Pieper, Carl

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Wixted, Doug

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Colón-Emeric, Cathleen

dc.date.accessioned

2023-12-01T16:52:34Z

dc.date.available

2023-12-01T16:52:34Z

dc.date.issued

2023-07

dc.date.updated

2023-12-01T16:52:34Z

dc.description.abstract

Older adults with type 2 diabetes mellitus have an increased risk of fracture despite a paradoxically higher average bone mineral density. This study identified additional markers of fracture risk in this at-risk population. Non-esterified fatty acids and the amino acids glutamine/glutamate and asparagine/aspartate were associated with incident fractures.

Purpose

Type 2 diabetes mellitus (T2D) is associated with an increased risk of fracture despite a paradoxically higher bone mineral density. Additional markers of fracture risk are needed to identify at-risk individuals.

Method

The MURDOCK study is an ongoing study, initiated in 2007, of residents in central North Carolina. At enrollment, participants completed health questionnaires and provided biospecimen samples. In this nested case-control analysis, incident fractures among adults with T2D, age ≥ 50 years, were identified by self-report and electronic medical record query. Fracture cases were matched 1:2 by age, gender, race/ethnicity, and BMI to those without incident fracture. Stored sera were analyzed for conventional metabolites and targeted metabolomics (amino acids and acylcarnitines). The association between incident fracture and metabolic profile was assessed using conditional logistic regression, controlled for multiple confounders including tobacco and alcohol use, medical comorbidities, and medications.

Results

107 incident fractures were identified with 210 matched controls. Targeted metabolomics analysis included 2 amino acid factors, consisting of: 1) the branched chain amino acids, phenylalanine and tyrosine; and 2) glutamine/glutamate, asparagine/aspartate, arginine, and serine [E/QD/NRS]. After controlling for multiple risk factors, E/QD/NRS was significantly associated with incident fracture (OR 2.50, 95% CI: 1.36-4.63). Non-esterified fatty acids were associated with lower odds of fracture (OR 0.17, 95% CI: 0.03-0.87). There were no associations with fracture among other conventional metabolites, acylcarnitine factors, nor the other amino acid factors.

Conclusion

Our results indicate novel biomarkers, and suggest potential mechanisms, of fracture risk among older adults with T2D.

dc.identifier

10.1007/s00198-023-06763-1

dc.identifier.issn

0937-941X

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1433-2965

dc.identifier.uri

https://hdl.handle.net/10161/29452

dc.language

eng

dc.publisher

Springer Science and Business Media LLC

dc.relation.ispartof

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA

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10.1007/s00198-023-06763-1

dc.subject

Humans

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Diabetes Mellitus, Type 2

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Fatty Acids

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Amino Acids

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Aspartic Acid

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Asparagine

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Glutamine

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Risk Factors

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Case-Control Studies

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Aged

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Middle Aged

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Fractures, Bone

dc.title

Metabolic factors associated with incident fracture among older adults with type 2 diabetes mellitus: a nested case-control study.

dc.type

Journal article

duke.contributor.orcid

Bain, James|0000-0002-8917-9187

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Ilkayeva, Olga|0000-0002-9779-0883

duke.contributor.orcid

Pieper, Carl|0000-0003-4809-1725

duke.contributor.orcid

Wixted, Doug|0000-0002-6128-7813

pubs.begin-page

1263

pubs.end-page

1268

pubs.issue

7

pubs.organisational-group

Duke

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School of Medicine

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Staff

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Basic Science Departments

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Clinical Science Departments

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Institutes and Centers

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Biostatistics & Bioinformatics

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Medicine

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Medicine, Endocrinology, Metabolism, and Nutrition

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Duke Molecular Physiology Institute

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Sarah Stedman Nutrition & Metabolism Center

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Center for the Study of Aging and Human Development

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Duke Clinical & Translational Science Institute

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Biostatistics & Bioinformatics, Division of Biostatistics

pubs.publication-status

Published

pubs.volume

34

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