Literature DB >> 22594513

Pharmacogenomics of osteoporosis: a pathway approach.

José A Riancho1, José L Hernández.   

Abstract

Osteoporosis is frequent in postmenopausal women and old men. As with other prevalent disorders, it is the consequence of complex interactions between genetic and acquired factors. Candidate gene and genome-wide association studies have pointed to several genes as determinants of the risk of osteoporosis. Some of them were previously unsuspected and may help to find new therapeutic targets. Several drugs already available are very effective in increasing bone mass and decreasing fracture risk. However, not all patients respond properly and some of them suffer fragility fractures despite therapy. Investigators have tried to identify the genetic features influencing the response to antiosteoporotic therapy. In this article we will review recent data providing insight into new genes involved in osteoporosis and the pharmacogenetic data currently available.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22594513     DOI: 10.2217/pgs.12.50

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  8 in total

1.  Polymorphisms in key bone modulator cytokines genes influence bisphosphonates therapy in postmenopausal women.

Authors:  C A D Lima; N R Javorski; A P O Souza; A D Barbosa; A P M C Valença; S Crovella; P R E Souza; J De Azevedo Silva; P Sandrin-Garcia
Journal:  Inflammopharmacology       Date:  2017-02-21       Impact factor: 4.473

2.  Pharmacogenetics of Osteoporosis: A Pathway Analysis of the Genetic Influence on the Effects of Antiresorptive Drugs.

Authors:  Álvaro Del Real; Carmen Valero; José M Olmos; Jose L Hernández; José A Riancho
Journal:  Pharmaceutics       Date:  2022-04-02       Impact factor: 6.525

3.  Parathyroid hormone (PTH)/PTH-related peptide type 1 receptor (PPR) signaling in osteocytes regulates anabolic and catabolic skeletal responses to PTH.

Authors:  Vaibhav Saini; Dean A Marengi; Kevin J Barry; Keertik S Fulzele; Erica Heiden; Xiaolong Liu; Christopher Dedic; Akira Maeda; Sutada Lotinun; Roland Baron; Paola Divieti Pajevic
Journal:  J Biol Chem       Date:  2013-06-02       Impact factor: 5.157

4.  Evaluation of selected traditional Chinese medical extracts for bone mineral density maintenance: A mechanistic study.

Authors:  John F Rebhun; Qin Du; Molly Hood; Hailing Guo; Kelly M Glynn; Hao Cen; Jeffrey D Scholten; Feng Tian; Min Gui; Minjie Li; Yongfang Zhao
Journal:  J Tradit Complement Med       Date:  2018-09-29

5.  Parathyroid hormone signaling in mature osteoblasts/osteocytes protects mice from age-related bone loss.

Authors:  Yuhei Uda; Vaibhav Saini; Christopher A Petty; Majed Alshehri; Chao Shi; Jordan M Spatz; Roberto Santos; Carly M Newell; Tim Y Huang; Alejandro Kochen; Ji W Kim; Christodoulos K Constantinou; Hiroaki Saito; Kathryn D Held; Eric Hesse; Paola Divieti Pajevic
Journal:  Aging (Albany NY)       Date:  2021-12-30       Impact factor: 5.682

Review 6.  Genome-wide approaches for identifying genetic risk factors for osteoporosis.

Authors:  Shuyan Wu; Yongjun Liu; Lei Zhang; Yingying Han; Yong Lin; Hong-Wen Deng
Journal:  Genome Med       Date:  2013-05-29       Impact factor: 11.117

Review 7.  The Regulatory Roles of MicroRNAs in Bone Remodeling and Perspectives as Biomarkers in Osteoporosis.

Authors:  Mengge Sun; Xiaoya Zhou; Lili Chen; Shishu Huang; Victor Leung; Nan Wu; Haobo Pan; Wanxin Zhen; William Lu; Songlin Peng
Journal:  Biomed Res Int       Date:  2016-03-17       Impact factor: 3.411

8.  Postmenopausal Osteoporosis reference genes for qPCR expression assays.

Authors:  Camilla Albertina Dantas de Lima; Suelen Cristina de Lima; Alexandre Domingues Barbosa; Paula Sandrin-Garcia; Will de Barros Pita; Jaqueline de Azevêdo Silva; Sergio Crovella
Journal:  Sci Rep       Date:  2019-11-11       Impact factor: 4.379

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.