Identification of a novel mutation site in maturity‑onset diabetes of the young in a Chinese family by whole‑exome sequencing

Knockdown of PDX1 enhances the osteogenic differentiation of ADSCs partly via activation of the PI3K/Akt signaling pathway

Background

Osteoporosis (OP) is a systemic bone disease manifested as low bone mass, destruction of bone microstructure, increased bone fragility and fracture risk. The purpose of this study was to explore the role and mechanism of PDX1 for osteogenic differentiation of adipose derived stem cells (ADSCs).

Methods

GSE37329 dataset was retrieved from NCBI Gene Expression Omnibus (GEO) database and performed bioinformatic analyses. ADSCs were incubated with normal medium, osteogenic induction medium (OIM) and OIM+si-PDX1. Then, alkaline phosphatase (ALP) staining and Alizarin Red Staining (ARS) were performed to assess the role of PDX1 for osteogenesis of ADSCs. PI3K inhibitor, LY294002 was then added to further explore the mechanism of PDX1 for osteogenic differentiation of ADSCs. Western blot assay was used to assess the osteogenic-related markers. Graphpad software was used to perform statistically analysis.

Results

A total of 285 DEGs were obtained from analysis of the dataset GSE37329, of which 145 were upregulated and 140 were downregulated genes. These differentially expressed genes mainly enriched in cell differentiation and PI3K/Akt signaling pathway. Moreover, PDX1 was decreased in osteogenic induced ADSCs. Knockdown of PDX1 significantly increased osteogenic differentiation capacity and p-PI3K and p-Akt protein levels. Administration with LY294002 could partially reversed the promotion effects of si-PDX1.

Conclusion

In conclusion, knockdown of PDX1 promotes osteogenic differentiation of ADSCs through the PI3K/Akt signaling pathway.

Whole Exome Sequencing Study in a Family with Type 2 Diabetes Mellitus

Background

Type 2 diabetes mellitus (T2DM) is characterized by β cell decline in the pancreas and insulin resistance. This study aimed to investigate the possible pathogenic gene mutation sites of T2DM patients using whole exome sequencing.

Materials and Methods

We recruited a Chinese family with 3-generation history of diabetes. The whole blood genomic DNA of seven members of the family was extracted and sent for whole exome sequencing. Biological information was analyzed with in silico prediction methods, including significance analysis of single nucleotide polymorphism (SNP)/Indel site, and analysis of specific SNP/Indel proteins and their potential mechanisms.

Results

Six out of seven members of the family were diagnosed with diabetes. All DNA samples (23 kb) met quality requirements of library construction. Clean reads of each sample demonstrated high Q20 and Q30 (>80%), indicating good sequencing quality of sequencing data. A total of 130,693 SNPs and 15,928 Indels were found in DNA samples. A total of 22 significant SNPs and Indel mutation sites located on 19 genes were obtained, including ZCCHC3, SYN2, RPL14, SRRD, AMD1, CAMKK2, ZNF787, RNF157, NPIPB15, ALG3, KIAA0040, MAST2, ESRRA, C8orf58, PNLIPRP1, DACH1, MACC1, CAPN9 and DMKN. An rs2305205 mutation of PNLIPRP1 gene and an rs778701848 mutation of CAMKK2 gene may be associated with the pathogenesis of T2DM in this family.

Conclusion

Exons of these diabetic patients demonstrated an rs2305205 mutation in PNLIPRP1 gene and an rs778701848 mutation in CAMKK2 gene. These two mutations might promote T2DM occurrence through reducing sensitivity of peripheral tissue to insulin and reducing insulin secretion.

Monogenic diabetes: a gateway to precision medicine in diabetes

Monogenic diabetes refers to diabetes mellitus (DM) caused by a mutation in a single gene and accounts for approximately 1%-5% of diabetes. Correct diagnosis is clinically critical for certain types of monogenic diabetes, since the appropriate treatment is determined by the etiology of the disease (e.g., oral sulfonylurea treatment of HNF1A/HNF4A-diabetes vs. insulin injections in type 1 diabetes). However, achieving a correct diagnosis requires genetic testing, and the overlapping of the clinical features of monogenic diabetes with those of type 1 and type 2 diabetes has frequently led to misdiagnosis. Improvements in sequencing technology are increasing opportunities to diagnose monogenic diabetes, but challenges remain. In this Review, we describe the types of monogenic diabetes, including common and uncommon types of maturity-onset diabetes of the young, multiple causes of neonatal DM, and syndromic diabetes such as Wolfram syndrome and lipodystrophy. We also review methods of prioritizing patients undergoing genetic testing, and highlight existing challenges facing sequence data interpretation that can be addressed by forming collaborations of expertise and by pooling cases.