Potential Biomolecules Capable of Assessing Risk of Osteoporotic Fracture: A Scoping Review / 中国医学科学杂志(英文版)

Osteoporosis as a systemic chronic skeletal disease is characterized by low bone mineral density and increased risk to osteoporotic fractures. Osteoporosis is prevalent in the middle-aged and elderly population, especially in the postmenopausal women. With population aging, osteoporosis has become a world-wide serious public health problem. Early recognition of the high-risk population followed by timely and efficient intervention and/or treatment is important for preventing osteoporotic fractures. In light of the high heritability and complex pathogenesis of osteoporosis, comprehensive consideration of vital biological/biochemical factors is necessary for accurate risk evaluation of fractures. For this purpose, we review recent research progress on molecules which can be applied to assess risk for osteoporotic fractures. Future integrative analyses and systematic evaluation of these molecules may facilitate developing novel methodologies and/or test strategies, i.e., biochips, for early recognition of osteoporosis, hence contributing to preventing osteoporotic fractures.

Integrative Analysis Confirmed the Association between Osteoprotegerin and Osteoporosis / 中国医学科学杂志(英文版)

Objective This study aimed to verify the association between osteoprotegerin gene () and its variants with osteoporosis (OP) by performing integrative analysis.Methods We used the KGG software to perform gene-based association analysis, which integrated all publicly available single-nucleotide polymorphism (SNP)-based values and obtained an overall value for the . The significant SNPs were screened for expression quantitative trait loci (eQTLs). Meta-analysis was used to combine the associations between the variants of and bone mineral density (BMD) reported in the literatures. Then we performed dual-luciferase reporter gene systems for the functional verification of the variants of .Results In the gene-based association analysis, the over all value of was 6.24×10 for BMD at femoral neck (FN) and 7.37×10 for BMD at lumbar spine (LS), indicating the importance of for OP. The publicly available eQTL database identified 5 eQTLs which exert cis-regulation effects on at FN and LS. Literature searching found that rs2073617 (known as T950C) was the hot spot SNP. There were 13 relevant studies on rs2073617 besides the GEFOS-2 study identified from the PubMed. Significant differences among TT, TC and CC genotypes at FN (= 0.047) and LS (= 0.025) were shown by meta-analysis, demonstrating the associations between T950C polymorphism and BMD. Luciferase gene expression was significantly higher at the presence of allele C than allele T in the 293T cells (=-9.47, <0.01). Conclusion The integrative analysis further confirmed the importance of in OP and the correlation of T950C polymorphism with BMD of OP. The strategy can be used as a reference for functional interpretation of other disease-related genes.

Mass spectrometry based proteomics profiling of human monocytes

Human monocyte is an important cell type which is involved in various complex human diseases. To better understand the biology of human monocytes and facilitate further studies, we developed the first comprehensive proteome knowledge base specifically for human monocytes by integrating both in vivo and in vitro datasets. The top 2000 expressed genes from in vitro datasets and 779 genes from in vivo experiments were integrated into this study. Altogether, a total of 2237 unique monocyte-expressed genes were cataloged. Biological functions of these monocyte-expressed genes were annotated and classified via Gene Ontology (GO) analysis. Furthermore, by extracting the overlapped genes from in vivo and in vitro datasets, a core gene list including 541 unique genes was generated. Based on the core gene list, further gene-disease associations, pathway and network analyses were performed. Data analyses based on multiple bioinformatics tools produced a large body of biologically meaningful information, and revealed a number of genes such as SAMHD1, G6PD, GPD2 and ENO1, which have been reported to be related to immune response, blood biology, bone remodeling, and cancer respectively. As a unique resource, this study can serve as a reference map for future in-depth research on monocytes biology and monocyte-involved human diseases.

Susceptibility Genes for Multiple Sclerosis Identified in a Gene-Based Genome-Wide Association Study

BACKGROUND AND PURPOSE: Multiple sclerosis (MS) is a demyelinating and inflammatory disease of the central nervous system. The aim of this study was to identify more genes associated with MS. METHODS: Based on the publicly available data of the single-nucleotide polymorphism-based genome-wide association study (GWAS) from the database of Genotypes and Phenotypes, we conducted a powerful gene-based GWAS in an initial sample with 931 family trios, and a replication study sample with 978 cases and 883 controls. For interesting genes, gene expression in MS-related cells between MS cases and controls was examined by using publicly available datasets. RESULTS: A total of 58 genes was identified, including 20 "novel" genes significantly associated with MS (p<1.40x10(-4)). In the replication study, 44 of the 58 identified genes had been genotyped and 35 replicated the association. In the gene-expression study, 21 of the 58 identified genes exhibited differential expressions in MS-related cells. Thus, 15 novel genes were supported by replicated association and/or differential expression. In particular, four of the novel genes, those encoding myelin oligodendrocyte glycoprotein (MOG), coiled-coil alpha-helical rod protein 1 (CCHCR1), human leukocyte antigen complex group 22 (HCG22), and major histocompatibility complex, class II, DM alpha (HLA-DMA), were supported by the evidence of both. CONCLUSIONS: The results of this study emphasize the high power of gene-based GWAS in detecting the susceptibility genes of MS. The novel genes identified herein may provide new insights into the molecular genetic mechanisms underlying MS.

Preliminary linkage analysis of a Chinese family with benign familial infantile convulsion / 中华儿科杂志

<p><b>OBJECTIVE</b>Benign familial infantile convulsions (BFIC) is a recently recognized autosomal dominant inherited disorder. This epileptic syndrome typically begins between 3 and 12 months of age with clusters of partial seizures in most cases and carries a good prognosis. So far, three loci have been linked to chromosome 19q12.1-13.1, chromosome 2q24 and chromosome 16p12-q12. The authors performed linkage analysis on this pedigree.</p><p><b>METHODS</b>A four-generation Chinese family was investigated. The total number of members was 32 in this family and two neurologists in Xiangya Hospital gave systemic physical examinations and interictal neurological examinations to nineteen members of this family. Venous blood samples were taken for genetic analysis. DNA was extracted from peripheral blood leukocytes using phenol-chloroform method. Seventeen microsatellite markers spanning the critical regions on chromosomes 19q12-13.1, 2q24, and 16p12-q12 were genotyped. These markers included D19S49, D19S250, D19S414, D19S416 and D19S245 for the 19q region, D2S2380, D2S399, D2S111, D2S2195, D2S2330 and D2S2345 for the 2q region, D16S401, D16S3131, D16S3093, D16S517, D16S3120 and D16S415 for the 16p-q region. The DNA from each sample was amplified for the 17 markers. After polymerase chain reactions (PCR), PCR products of chromosome 19 with markers D19S49, D19S250, D19S414, D19S416 and D19S245 were subjected to electrophoresis on 8% denatured polyacrylamide gel for at least 2 hours and 20 minutes. Then the length of the PCR products was judged in the Strategene Eagle Eye II automated gel image analyzer. For the markers from chromosome 2 and 16, PCR products were scanned at ABI 377 autosequencer. The data of PCR products were analyzed using the software Genescan v3.1, Genetyper v2.1 (Applied Biosystem, CA. USA) and GenoDB v1.0. After Mendelian checking, the eligible genotyping data were used for linkage analysis. LOD scores were calculated by using MLINK program of LINKAGE v5.1, under an assumption of autosomal dominant inheritance and the estimated penetrance was 0.9. The allele frequencies of each marker were assumed to be equal and the disease-allele frequencies were designated to be 1/10,000. The LOD scores were calculated at combination rate (theta) 0.0, 0.1, 0.2, 0.3, and 0.4.</p><p><b>RESULTS</b>Among the 17 selected microsatellite markers, which cover the previously reported regions, seven markers' data (D16S3131, D16S517, D16S3120, D16S3093, D2S2380, D19S250 and D19S414) were omitted due to failed genotyping, low genetic heterogeneity, or failure to pass Mendelian checking. Omission of these markers was to ensure the reliability of our raw data. The two-point LOD scores were below zero for all the markers and the maximum LOD scores at theta = 0.0 were less than -2 for markers D19S49, D19S416, D19S245, D16S401, D16S415, D2S399, D2S111, D2S2195, D2S2330 and D2S2345. Thus, the linkage result showed no evidence that the disease locus is linked to any of these selected markers, which excludes the previously reported candidate regions found in other ethnic families.</p><p><b>CONCLUSION</b>There is no evidence that this Chinese family was linked to one of the following loci: 19q12.1-13.1, 16p12-q12 and 2q24. The results indicated that BFIC showed genetic heterogeneity and the Chinese BFIC families might be mapped on another new locus.</p>