Screening and validation of serum protein biomarkers for early postmenopausal osteoporosis diagnosis

Mol Med Rep. 2017 Dec;16(6):8427-8433. doi: 10.3892/mmr.2017.7620. Epub 2017 Sep 26.

Abstract

Postmenopausal osteoporosis is one of the most prominent worldwide public health problems and the morbidity is increasing with the aging population. It has been demonstrated that early diagnosis and intervention delay the disease progression and improve the outcome. Therefore, searching for biomarkers that are able to identify postmenopausal women at high risk for developing osteoporosis is an effective way to improve the quality of life of patients, and alleviate social and economic burdens. In the present study, a protein array was used to identify potential biomarkers. The bone mineral densities of 10 rats were dynamically measured in an ovariectomized model by micro‑computed tomography assessment, and the early stage of osteoporosis was defined. Through the protein array‑based screening, the expression levels of six serum protein biomarkers in ovariectomized rats were observed to alter at the initiation stage of the postmenopausal osteoporosis. Fractalkine, tissue inhibitor of metalloproteinases‑1 and monocyte chemotactic protein‑1 were finally demonstrated to be increased in the serum of eight enrolled postmenopausal osteoporosis patients using ELISA assay and were correlated with the severity of progressive bone loss. These biomarkers may be explored as potential early biomarkers to readily evaluate and diagnose postmenopausal osteoporosis in the clinic.

MeSH terms

  • Aged
  • Animals
  • Biomarkers
  • Blood Proteins*
  • Early Diagnosis
  • Female
  • Humans
  • Middle Aged
  • Models, Animal
  • Osteoporosis, Postmenopausal / blood*
  • Osteoporosis, Postmenopausal / diagnosis*
  • Ovariectomy / adverse effects
  • Protein Array Analysis
  • Rats
  • Reproducibility of Results
  • X-Ray Microtomography

Substances

  • Biomarkers
  • Blood Proteins