Literature DB >> 28323143

Effect of age and gender on serum periostin: Relationship to cortical measures, bone turnover and hormones.

Jennifer S Walsh1, Fatma Gossiel2, Jessica R Scott2, Margaret A Paggiosi2, Richard Eastell2.   

Abstract

Periostin is an extracellular matrix protein, and in bone is expressed most highly in the periosteum. It increases bone formation through osteoblast differentiation, cell adhesion, Wnt signalling and collagen cross-linking. We hypothesised that serum periostin would be high at times of life when cortical modeling is active, in early adulthood and in older age, and that it would correlate with cortical bone measures, bone turnover and hormones that regulate cortical modeling. We conducted a cross-sectional observational study of 166 healthy men and women at three skeletal stages; the end of longitudinal growth (16-18years), peak bone mass (30-32years) and older age (over 70years). We measured serum periostin with a new ELISA optimised for human serum and plasma which recognises all known splice variants (Biomedica). We measured the distal radius and distal tibia with HR-pQCT, and measured serum PINP, CTX, sclerostin, PTH, IGF-1, estradiol and testosterone. Periostin was higher at age 16-18 than age 30-32 (1253 vs 842pmol/l, p<0.001), but not different between age 30-32 and over age 70. Periostin was inversely correlated with tibia cortical thickness and density (R -0.229, -0.233, both p=0.003). It was positively correlated with PINP (R 0.529, p<0.001), CTX (R 0.427, p<0.001) and IGF-1 (R 0.440, p<0.001). When assessed within each age group these correlations were only significant at age 16-18, except for PINP which was also significant over age 70. We conclude that periostin may have a role in IGF-1 driven cortical modeling and consolidation in young adults, but it may not be an important mediator in older adults.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aging; Bone turnover; Cortex; HR-pQCT; Peak bone mass; Periostin

Mesh:

Substances:

Year:  2017        PMID: 28323143     DOI: 10.1016/j.bone.2017.03.041

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  9 in total

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2.  Biomarkers to Predict Response to Inhaled Corticosteroids and Long-Acting Muscarinic Antagonists in Adolescents and Adults with Mild Persistent Asthma.

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Journal:  Ann Am Thorac Soc       Date:  2022-03

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Authors:  Pailin Yooma; Wiparat Manuyakorn; Adithep Sawatchai; Wanlapa Jotikasthira; Potjanee Kiewngam; Watcharoot Kanchongkittiphon
Journal:  Int Arch Allergy Immunol       Date:  2021-09-17       Impact factor: 2.749

4.  Chitosan Scaffold Containing Periostin Enhances Sternum Bone Healing and Decreases Serum Level of TNF-α and IL-6 after Sternotomy in Rat.

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Journal:  Tissue Eng Regen Med       Date:  2022-02-23       Impact factor: 4.451

5.  The Predictive Value of Periostin to Diagnose Crohn's Disease.

Authors:  Muharrem Keskin; Ali Topkaç
Journal:  Turk J Gastroenterol       Date:  2022-02       Impact factor: 1.555

6.  Increased serum periostin concentrations are associated with the presence of diabetic retinopathy in patients with type 2 diabetes mellitus.

Authors:  Y Ding; Q Ge; H Qu; Z Feng; J Long; Q Wei; Q Zhou; R Wu; L Yao; H Deng
Journal:  J Endocrinol Invest       Date:  2018-01-18       Impact factor: 4.256

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Authors:  Yoshiharu Kawaguchi; Isao Kitajima; Taketoshi Yasuda; Shoji Seki; Kayo Suzuki; Hiroto Makino; Yasuhiro Ujihara; Tomohiro Ueno; Nguyen Tran Canh Tung; Yasuhito Yahara
Journal:  JB JS Open Access       Date:  2022-02-04

8.  Serum Periostin as a Potential Biomarker in Pediatric Patients with Primary Hypertension.

Authors:  Michał Szyszka; Piotr Skrzypczyk; Anna Stelmaszczyk-Emmel; Małgorzata Pańczyk-Tomaszewska
Journal:  J Clin Med       Date:  2021-05-15       Impact factor: 4.241

9.  Serum Periostin Level and Genetic Polymorphisms Are Associated with Vertebral Fracture in Chinese Postmenopausal Women.

Authors:  Yi-Ming Guo; Jian-Hao Cheng; Hao Zhang; Jin-Wei He; Hua Yue; Wei-Wei Hu; Jie-Mei Gu; Yun-Qiu Hu; Wen-Zhen Fu; Chun Wang; Zhen-Lin Zhang
Journal:  Genes (Basel)       Date:  2022-02-27       Impact factor: 4.096

  9 in total

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