Assessment of Wnt pathway selected gene expression levels in peripheral blood mononuclear cells (PBMCs) of postmenopausal patients with low bone mass

  • Michal Stuss Department of Endocrine Disorders and Bone Metabolism, Chair of Endocrinology, Medical University of Lodz, Lodz, Poland; Outpatient Clinic of Osteoporosis, Regional Center of Menopause and Osteoporosis, Military Medical Academy Memorial Teaching Hospital of the Medical University of Lodz – Central Veterans’ Hospital, Lodz, Poland https://orcid.org/0000-0002-1469-6526
  • Monika Migdalska-Sek Outpatient Clinic of Osteoporosis, Regional Center of Menopause and Osteoporosis, Military Medical Academy Memorial Teaching Hospital of the Medical University of Lodz – Central Veterans’ Hospital, Lodz, Poland; Department of Biomedicine and Genetics, Chair of Biology and Medical Parasitology, Medical University of Lodz, Lodz, Poland https://orcid.org/0000-0002-9856-0764
  • Ewa Brzezianska-Lasota Department of Biomedicine and Genetics, Chair of Biology and Medical Parasitology, Medical University of Lodz, Lodz, Poland https://orcid.org/0000-0002-0882-1458
  • Marta Michalska-Kasiczak Department of Endocrine Disorders and Bone Metabolism, Chair of Endocrinology, Medical University of Lodz, Lodz, Poland
  • Pawel Bazela Department of Endocrine Disorders and Bone Metabolism, Chair of Endocrinology, Medical University of Lodz, Lodz, Poland https://orcid.org/0000-0002-4274-4767
  • Ewa Sewerynek Department of Endocrine Disorders and Bone Metabolism, Chair of Endocrinology, Medical University of Lodz, Lodz, Poland; Outpatient Clinic of Osteoporosis, Regional Center of Menopause and Osteoporosis, Military Medical Academy Memorial Teaching Hospital of the Medical University of Lodz – Central Veterans’ Hospital, Lodz, Poland https://orcid.org/0000-0001-9705-4264
Keywords: Osteoporosis, Wnt pathway, PBMC, expression, BMD, fractures

Abstract

The purpose of the study was to assess the expression of selected genes of the Wnt pathway: APC, AXIN1, CTNNB1, DKK1, GSK3β, KREMEN1, SFRP1, and WNT1 in peripheral blood mononuclear cells (PBMC) of patients, selected in consideration of their bone mineral density (BMD), and the occurrence of low-energy fractures. The study involved 45 postmenopausal women, divided into four groups, according to BMD and fracture history. Measurements of laboratory parameters and RNA expression in PBMC cells were carried out in material, collected once at the inclusion visit. The densitometric examination was performed on all participants. In the analysis of the relative expression levels (RELs) of the studied genes in the entire population, we observed an overexpression for SFRP1 in 100% of samples and WNT1. In addition, the REL of DKK1, APC, and GSK3β genes were slightly elevated versus the calibrator. In contrast, CTNNB1 and AXIN1 presented with a slightly decreased RELs. Analysis did not show any significant differences among the groups in the relative gene expression levels (p < 0.05) of particular genes. However, we have observed quite numerous interesting correlations between the expression of the studied genes and BMD, the presence of fractures, and laboratory parameters, both in the whole studied population as well as in selected groups. In conclusion, the high level of CTNNB1 expression maintains normal BMD and/or protects against fractures. It also appears that the changes in expression levels of the Wnt pathway genes in PBMCs reflect the expected changes in bone tissue.

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Assessment of Wnt pathway selected gene expression levels in peripheral blood mononuclear cells (PBMCs) of postmenopausal patients with low bone mass
Published
2020-12-21
How to Cite
1.
Stuss M, Migdalska-SekM, Brzezianska-LasotaE, Michalska-KasiczakM, Bazela P, Sewerynek E. Assessment of Wnt pathway selected gene expression levels in peripheral blood mononuclear cells (PBMCs) of postmenopausal patients with low bone mass. Bosn J of Basic Med Sci [Internet]. 2020Dec.21 [cited 2021Jan.26];. Available from: https://www.bjbms.org/ojs/index.php/bjbms/article/view/5179
Section
Molecular Biology

Funding data