Association of TWIST1 gene polymorphisms with bone mineral density in postmenopausal women

TWIST1 and TSG6 are coordinately regulated and function as potency biomarkers in human MSCs

Mesenchymal stem/stromal cells (MSCs) have been evaluated in >1500 clinical trials, but outcomes remain suboptimal because of knowledge gaps in quality attributes that confer potency. We show that TWIST1 directly represses TSG6 expression that TWIST1 and TSG6 are inversely correlated across bone marrow-derived MSC (BM-MSC) donor cohorts and predict interdonor differences in their proangiogenic, anti-inflammatory, and immune suppressive activity in vitro and in sterile inflammation and autoimmune type 1 diabetes preclinical models. Transcript profiling of TWIST1HiTSG6Low versus TWISTLowTSG6Hi BM-MSCs revealed previously unidentified roles for TWIST1/TSG6 in regulating cellular oxidative stress and TGF-β2 in modulating TSG6 expression and anti-inflammatory activity. TWIST1 and TSG6 levels also correlate to donor stature and predict differences in iPSC-derived MSC quality attributes. These results validate TWIST1 and TSG6 as biomarkers that predict interdonor differences in potency across laboratories and assay platforms, thereby providing a means to manufacture MSC products tailored to specific diseases.

Effects of a functional variant c.353T>C in snai1 on risk of two contextual diseases. Chronic obstructive pulmonary disease and lung cancer

RATIONALE

Epithelial-mesenchymal transition (EMT) plays a key role in the development of chronic obstructive pulmonary disease (COPD) and lung cancer.

OBJECTIVES

There are five major EMT regulatory genes (Snai1, Slug, Zeb1, Zeb2, and Twist1) involved in EMT. We hypothesized that germline variants in these genes may influence the development of both diseases.

METHODS

Seven genetic variants were genotyped in two two-stage case-control studies with 2,072 lung cancer cases and 2,077 control subjects, and 1,791 patients with COPD and 1,940 control subjects to show their associations with development of both diseases.

MEASUREMENTS AND MAIN RESULTS

An exon variant c.353T>C(p.Val118Ala) of Snai1 harbored decreased risks of lung cancer (CT/CC vs. TT: odds ratio [OR], 0.76; 95% confidence interval [CI], 0.65-0.90) and COPD (CC vs. CT vs. TT: OR, 0.75; 95% CI, 0.63-0.89), and c.353T>C affected lung cancer risk indirectly through COPD (COPD accounted for 6.78% of effect that the variant had on lung cancer). Moreover, c.353T>C was correlated with lung cancer stages in smoking patients (P = 0.013), and those with the c.353C genotypes were less likely to have metastasis at diagnosis than those with the c.353TT genotype (OR, 0.60; 95% CI, 0.41-0.88). The c.353C allele encoding p.118Ala attenuated Snai1's ability to up-regulate mesenchymal biomarkers (i.e., fibronectin and vimentin) expression, and to promote EMT-like changes, including morphologic changes, cell migration, and invasion. However, these effects were not observed for the other variants.

CONCLUSIONS

The functional germline variant c.353T>C (p.Val118Ala) of Snai1 confers consistently decreased risks of lung cancer and COPD, and this variant affects lung cancer risk through a mediation effect of COPD.

Molecular genetic studies of gene identification for osteoporosis: the 2009 update

Osteoporosis is a complex human disease that results in increased susceptibility to fragility fractures. It can be phenotypically characterized using several traits, including bone mineral density, bone size, bone strength, and bone turnover markers. The identification of gene variants that contribute to osteoporosis phenotypes, or responses to therapy, can eventually help individualize the prognosis, treatment, and prevention of fractures and their adverse outcomes. Our previously published reviews have comprehensively summarized the progress of molecular genetic studies of gene identification for osteoporosis and have covered the data available to the end of September 2007. This review represents our continuing efforts to summarize the important and representative findings published between October 2007 and November 2009. The topics covered include genetic association and linkage studies in humans, transgenic and knockout mouse models, as well as gene-expression microarray and proteomics studies. Major results are tabulated for comparison and ease of reference. Comments are made on the notable findings and representative studies for their potential influence and implications on our present understanding of the genetics of osteoporosis.