Qinghe Xing

Identification of MicroRNAs in Human Follicular Fluid: Characterization of MicroRNAs That Govern Steroidogenesis in Vitro and Are Associated With Polycystic Ovary Syndrome in Vivo

CONTEXT Human follicular fluid is a combination of proteins, metabolites, and ionic compounds that is indicative of the general state of follicular metabolism and is associated with maturation and quality of oocytes. Deviations in these components are often associated with reproductive diseases. There has been no report of microRNAs (miRNAs) in human follicular fluids. OBJECTIVE We hypothesized that human follicular fluid may contain miRNAs. We sought to identify cell-free miRNAs in human follicular fluid and to investigate the function of these miRNAs in vitro and any roles they play in polycystic ovary syndrome (PCOS). DESIGN Genome-wide deep sequencing and TaqMan miRNA arrays were used to identify miRNAs, and the roles of the highly expressed miRNAs in steroidogenesis were investigated in KGN cells. Quantification of candidate miRNAs in follicular fluids of PCOS and controls was performed using TaqMan miRNA assays. RESULTS We identified miRNAs in microvesicles and the supernatant of human follicular fluid. Bioinformatics analysis showed that the most highly expressed miRNAs targeted genes associated with reproductive, endocrine, and metabolic processes. We found that miR-132, miR-320, miR-520c-3p, miR-24, and miR-222 regulate estradiol concentrations and that miR-24, miR-193b, and miR-483-5p regulate progesterone concentrations. Finally, we showed that miR-132 and miR-320 are expressed at significantly lower levels in the follicular fluid of polycystic ovary patients than in healthy controls (P = .005 and P = .0098, respectively). CONCLUSION These results demonstrate that there are numerous miRNAs in human follicular fluids, some of which play important roles in steroidogenesis and PCOS. This study substantially revises our understanding of the content of human follicular fluid and lays the foundation for the future investigation of the role of miRNAs in PCOS.

Metabolomic Profiling to Identify Potential Serum Biomarkers for Schizophrenia and Risperidone Action

Despite recent advances in understanding the pathophysiology of schizophrenia and the mechanisms of antipsychotic drug action, the development of biomarkers for diagnosis and therapeutic monitoring in schizophrenia remains challenging. Metabolomics provides a powerful approach to discover diagnostic and therapeutic biomarkers by analyzing global changes in an individuals metabolic profile in response to pathophysiological stimuli or drug intervention. In this study, we performed gas chromatography-mass spectrometry based metabolomic profiling in serum of unmedicated schizophrenic patients before and after an 8-week risperidone monotherapy, to detect potential biomarkers associated with schizophrenia and risperidone treatment. Twenty-two marker metabolites contributing to the complete separation of schizophrenic patients from matched healthy controls were identified, with citrate, palmitic acid, myo-inositol, and allantoin exhibiting the best combined classification performance. Twenty marker metabolites contributing to the complete separation between posttreatment and pretreatment patients were identified, with myo-inositol, uric acid, and tryptophan showing the maximum combined classification performance. Metabolic pathways including energy metabolism, antioxidant defense systems, neurotransmitter metabolism, fatty acid biosynthesis, and phospholipid metabolism were found to be disturbed in schizophrenic patients and partially normalized following risperidone therapy. Further study of these metabolites may facilitate the development of noninvasive biomarkers and more efficient therapeutic strategies for schizophrenia.

Polymorphisms of the ABCB1 gene are associated with the therapeutic response to risperidone in Chinese schizophrenia patients

P-glycoprotein, a product of the ATP-binding cassette B1 (ABCB1) gene, plays an important role in absorption and distribution of drugs. The brain entry of risperidone and 9-OH-risperidone is greatly limited by P-glycoprotein, which implies that the functional polymorphisms of ABCB1 in humans may be a factor contributing to the variability in response to risperidone. The present study was therefore designed to examine whether polymorphisms of the ABCB1 gene are related to therapeutic response. For this purpose, 130 Chinese schizophrenia patients undergoing risperidone treatment were recruited. Plasma drug concentrations were monitored and clinical symptoms were evaluated using the Brief Psychiatric Rating Scale (BPRS) before and 8 weeks after the treatment. Association tests between genotypes and percentage improvement in total BPRS scores were performed using analyses of variance. Our results show that genotyping C1236T may help to predict the efficacy of risperidone treatment on the basis that patients with the TT genotype showed greater improvement than those with other genotypes on the overall BPRS (F = 3.967, p = 0.021), while other polymorphisms, including rs13233308, G2677T/A and C3435T polymorphism, did not show any association with the response to risperidone. These results showed suggestive evidence that genetic variation in the ABCB1 gene may influence the individual response to risperidone.

Response to chlorpromazine treatment may be associated with polymorphisms of the DRD2 gene in Chinese schizophrenic patients

Previous studies have demonstrated that the -141C Ins/Del and TaqI A polymorphisms in the DRD2 gene affect the density of the dopamine D2 receptor. The present study examines the correlation between these two polymorphisms and the therapeutic response to chlorpromazine, a typical antipsychotic drug, in 135 inpatients with schizophrenia. Clinical symptoms were evaluated using the Brief Psychiatry Rating Scale (BPRS) before and after 8 weeks of treatment with 300-600 mg/day of chlorpromazine. Our results show that genotyping -141C Ins/Del may help to predict the efficacy of chlorpromazine treatment (P=0.01) due to the fact that patients with no Del allele showed greater improvement than those with Del allele on the overall BPRS (P=0.03), and that, therefore, the potential for therapy in patients with schizophrenia is related to the -141C Ins/Del polymorphism in the DRD2 gene. However, no such relationship was found for the TaqI A polymorphism.

The relationship between the therapeutic response to risperidone and the dopamine D2 receptor polymorphism in Chinese schizophrenia patients

Antipsychotic drugs exert both therapeutic and adverse effects through dopamine D2 receptor (DRD2) antagonism. Genetic variants of this receptor may be responsible for individual variations in neuroleptic response and may therefore be useful in predicting response. In this study we evaluated the role of six polymorphisms of the DRD2 gene in 125 risperidone-treated Chinese schizophrenia patients following the hypothesis that variation in the DRD2 gene could affect drug response. Response was categorized as a change of >40% on the Brief Psychiatric Rating Scale (BPRS). Our results show that genotyping A-241G may help to predict the efficacy of risperidone treatment on the basis that patients with the A allele showed greater improvement than those with the G allele on the overall BPRS (chi2=7.19, p=0.007, p=0.031 after correction by the program SNPSpD), while other polymorphisms, including -141C Ins/Del, TaqIB, rs1076562, T939C and TaqIA, did not show any association with the response to risperidone. These data suggest that the DRD2 A-241G polymorphism or, alternatively, another genetic variation that is in linkage disequilibrium, may influence response to risperidone in schizophrenia patients.

HLA-B*58:01 allele is associated with augmented risk for both mild and severe cutaneous adverse reactions induced by allopurinol in Han Chinese

AIM Allopurinol is widely used as an effective urate-lowering drug and is one of the most frequent causes of cutaneous adverse drug reactions (cADRs). Recently, a strong association of HLA-B*58:01 with allopurinol-induced severe cADRs was identified. This study investigated the predisposition to different types of allopurinol-cADRs conferred by HLA-B*5801 in a Han population from mainland China. PATIENTS & METHODS HLA-B genotyping was performed on 38 Chinese patients with different types of allopurinol-cADRs from 2008 to 2011. RESULTS All the allopurinol-cADR patients carried HLA-B*58:01, in contrast with only 11.11% (7/63) in the allopurinol-tolerant patients (odds ratio [OR] = 580.07; p < 0.0001) and 13.99% (80/572) in a Han Chinese population from the human MHC database (dbMHC; OR: 471.09; p < 0.0001) carried the genotype. Each type of allopurinol cADRs revealed a statistically significant association with HLA-B*58:01. In particular, the risk of allopurinol-induced maculopapular eruption was significantly higher in patients with HLA-B*58:01 (OR: 339.00; p < 0.0001). CONCLUSION The strong association of both the mild and severe types of allopurinol cADRs with the HLA-B*58:01 allele were observed. The results indicated that the prospective use of a genetic test of HLA-B*58:01 might reduce the prevalence of allopurinol-induced cADRs. Original submitted 7 March 2012; Revision submitted 21 May 2012.

Association of Leukocyte Telomere Length with Type 2 Diabetes in Mainland Chinese Populations

CONTEXT Telomeres are structures at the ends of eukaryotic chromosomes. They help maintain genomic stability. High oxidative stress can lead to accelerated telomere shortening, which causes premature cell senescence. This is implicated in the development of type 2 diabetes (T2D). For this reason, we hypothesize that telomere shortening can characterize T2D. METHODS We investigated the association between leukocyte telomere length (LTL) and T2D in a retrospective case-control study with a sample of 4016 Chinese Han subjects (1936 unrelated T2D cases and 2080 controls). Logistic regression analysis was performed to evaluate the association between LTL and T2D, adjusted for age and gender. Multivariate linear regression analysis was used to test for any association of LTL with a number of clinical, demographic, and diabetes-associated variables. RESULTS Telomere repeat length (T)/copy number of a single-copy gene (S) ratios (T/S) of LTL were found to be significantly shorter in T2D cases [1.00 T/S, 95% confidence interval (CI) = 0.99-1.02] compared with controls (1.08 T/S, 95% CI = 1.06-1.09) over a wide age range (odds ratio of diabetes for a 1-U decrease in ln-transformed TL = 1.52; 95% CI = 1.23-1.88; P = 0.0001). CONCLUSION Our research demonstrates association between shorter LTL and T2D in a population from mainland China. Our study suggests that shorter LTL might be associated with T2D in a manner independent of smoking and drinking habits or the time of T2D onset time.

A two-method meta-analysis of Neuregulin 1(NRG1) association and heterogeneity in schizophrenia

NRG1 is one of the most researched genes associated with schizophrenia. Although three meta-analyses in this area have been published, the results have been inconclusive and even conflicting. Family based studies can be problematical due to the difficulty of synthesizing them with case-control studies. Heterogeneity is another persistently difficult problem which tends to be side-stepped in genetic studies. To deal with these points, we performed a meta-analysis of 26 published case-control and family-based association studies up to September 2008 covering 8049 cases, 8869 controls and 1515 families. The matrix of coancestry coefficient was also calculated using population genetics. Across these studies, the conclusions are as follows: Firstly, only SNP8NRG221132, 420M9-1395(0) and 478B14-848(0) showed significant association in the relatively small sample size. Secondly, we applied both Kazeems and Lohmuellers methods for synthesizing family and case control studies and there was no statistically significant difference between the results from the two methods, suggesting that either method can be used. In addition, the association analysis of case-control studies was statistically consistent with that of family studies. Finally, the matrix of coancestry coefficient suggested obvious population stratification. The study reveals that one SNP of the NRG1 gene does not contribute significantly to schizophrenia and that population stratification is evident. In future genetic association analysis on complex psychic diseases, haplotype blocks and population structure should be given greater consideration.

A Gene Locus Responsible for Dyschromatosis Symmetrica Hereditaria (DSH) Maps to Chromosome 6q24.2-q25.2

Dyschromatosis symmetrica hereditaria (DSH) is a hereditary skin disease characterized by the presence of hyperpigmented and hypopigmented macules on extremities and face. The gene, or even its chromosomal location, for DSH has not yet been identified. In this study, two Chinese families with DSH were identified and subjected to a genomewide screen for linkage analysis. Two-point linkage analysis for pedigree A (maximum LOD score [Z(max)] = 7.28 at recombination fraction [theta] = 0.00) and pedigree B (Z(max) = 2.41 at theta = 0.00) mapped the locus for DSH in the two families to chromosome 6q. Subsequent multipoint analysis of the two families also provided additional support for the DSH gene being located within the region 6q24.2-q25.2, with Z(max) = 10.64. Haplotype analysis confined the locus within an interval of 10.2 Mbp, flanked by markers D6S1703 and D6S1708. The two families had no identical haplotype within the defined region, which suggests that the two families were different in origin. Further work on identification of the gene for DSH will open new avenues to exploration of the genetics of pigmentation.

SePreSA: a server for the prediction of populations susceptible to serious adverse drug reactions implementing the methodology of a chemical–protein interactome

Serious adverse drug reactions (SADRs) are caused by unexpected drug-human protein interactions, and some polymorphisms within binding pockets make the population carrying these polymorphisms susceptible to SADR. Predicting which populations are likely to be susceptible to SADR will not only strengthen drug safety, but will also assist enterprises to adjust R&D and marketing strategies. Making such predictions has recently been facilitated by the introduction of a web server named SePreSA. The server has a comprehensive collection of the structural models of nearly all the well known SADR targets. Once a drug molecule is submitted, the scale of its potential interaction with multi-SADR targets is calculated using the DOCK program. The server utilizes a 2-directional Z-transformation scoring algorithm, which computes the relative drug-protein interaction strength based on the docking-score matrix of a chemical-protein interactome, thus achieve greater accuracy in prioritizing SADR targets than simply using dock scoring functions. The server also suggests the binding pattern of the lowest docking score through 3D visualization, by highlighting and visualizing amino acid residues involved in the binding on the customers browser. Polymorphism information for different populations for each of the interactive residues will be displayed, helping users to deduce the population-specific susceptibility of their drug molecule. The server is freely available at http://SePreSA.Bio-X.cn/.