BackgroundBrain glucose hypometabolism is an invariant feature and has significant diagnostic value for Alzheimer's disease. Thiamine diphosphate (TDP) is a critical coenzyme for glucose metabolism and significantly reduced in brain and blood samples of patients with Alzheimer's disease (AD).AimsTo explore the diagnostic value of the measurement of blood thiamine metabolites for AD.MethodsBlood TDP, thiamine monophosphate, and thiamine levels were detected using high performance liquid chromatography (HPLC). The study included the exploration and validation phases. In the exploration phase, the samples of 338 control subjects and 43 AD patients were utilized to establish the models for AD diagnosis assayed by receiver operating characteristic (ROC) curve, including the variable γ that represents the best combination of thiamine metabolites and age to predict the possibility of AD. In the validation phase, the values of models were further tested for AD diagnosis using samples of 861 control subjects, 81 AD patients, 70 vascular dementia patients, and 13 frontotemporal dementia patients.ResultsTDP and the γ exhibited significant and consistent values for AD diagnosis in both exploration and validation phases. TDP had 0.843 and 0.837 of the areas under ROC curve (AUCs), 77.4% and 81.5% of sensitivities, and 78.1% and 77.2% of specificities respectively in the exploration and validation phases. The γ had 0.938 and 0.910 of AUCs, 81.4% and 80.2% of sensitivities, and 90.5% and 87.2% of specificities respectively in the exploration and validation phases. TDP and the γ can effectively distinguish AD from vascular dementia (64.3% for TDP, 67.1% for γ) and frontotemporal dementia (84.6% for TDP, 100.0% for γ).Interpretation.The measurement of blood thiamine metabolites by HPLC is an ideal diagnostic test for AD with inexpensive, easy to perform, noninvasive merits.

Our findings suggest that BDNF levels may serve as a potential differential diagnostic biomarker for bipolar disorder in a patient's first depressive episode.

The etiology of schizophrenia is unclear, although family, twin, and linkage studies implicate genetic factors. Here, we identified adenomatous polyposis coli (APC), a tumor suppressor gene, as a risk factor for schizophrenia. We compared leukocytic gene expression patterns of six pairs of patients with schizophrenia and healthy controls by microarray. APC expression levels were significantly increased in all patients compared to healthy controls. To confirm the findings of microarray analysis, we measured expression levels of APC in the leukocytes from 30 relapse patients taking antipsychotic medication, 29 first-episode drug-naïve patients, and 30 healthy controls using real-time quantitative reverse transcription (RT)-polymerase chain reaction (PCR). APC expression levels were significantly increased in leukocytes of schizophrenics both taking and not taking antipsychotic medication and hence the increase of APC expression was not due to antipsychotic medication. APC is located at 5q21-22, which has been previously reported to be linked with schizophrenia. Further, we performed the transmission disequilibrium test (TDT) and TDT based on haplotypes to search for the association between schizophrenia and APC by examining 163 parent-offspring trios of Chinese descent. We analyzed three single-nucleotide polymorphisms (SNPs) (rs2229992, rs42427, rs465899) at the exon region of APC. TDT showed that the three SNPs are significantly associated with schizophrenia (TDT v 2 ¼ 4.23, Po0.05; 4.15, Po0.05; 8.49 Po0.01, respectively; HHRRv 2 ¼ 5.54, Po0.05; 4.40, Po0.05; 9.79, Po0.01, respectively). We found a significant association between the APC haplotypes from rs2229992-rs42427-rs465899 and schizophrenia (Global v 2 ¼ 44.376,df ¼ 7, Po0.001). The C-A-T haplotype has a frequency of more than 57% and has a strong association with schizophrenia (v 2 ¼ 15.04, Po0.001). These results indicate that the APC may be a candidate gene conferring susceptibility to schizophrenia and also may be associated with reduced vulnerability to cancer in schizophrenia.

Little is known about the trace element profile differences between Schizophrenia patients and healthy controls; previous studies about the association of certain elements with Schizophrenia have obtained conflicting results. To identify these differences in the Han Chinese population, inductively coupled plasma-mass spectrometry was used to quantify the levels of 35 elements in the sera of 111 Schizophrenia patients and 110 healthy participants, which consisted of a training (61/61 for cases/controls included) and a test group including remaining participants. An orthogonal projection to latent structures model was constructed from the training group (R2Y = 0.465, Q2cum = 0.343) had a sensitivity of 76.0% and a specificity of 71.4% in the test group. Single element analysis indicated that the concentrations of cesium, zinc, and selenium were significantly reduced in patients with Schizophrenia in both the training and test groups. The meta-analysis including 522 cases and 360 controls supported that Zinc was significantly associated with Schizophrenia (standardized mean difference [SMD], −0.81; 95% confidence intervals [CI], −1.46 to −0.16, P = 0.01) in the random-effect model. Information theory analysis indicated that Zinc could play roles independently in Schizophrenia. These results suggest clear element profile differences between patients with Schizophrenia and healthy controls, and reduced Zn level is confirmed in the Schizophrenia patients.

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Background Although genetic variants may play a key role in development of treatment-resistant depression (TRD), relevant research is scarce. Methods To examine whether the polymorphisms of BDNF (rs6265) and NTRK2 (rs1387923, rs2769605 and rs1565445) genes confer risk for TRD in major depressive disorder (MDD), a total of 948 MDD patients were recruited in a 12-week, multi center, prospective longitudinal study. Results Our study showed a significant allelic association between rs1565445 and TRD with an excess of the T allele in the TRD group, compared to non-TRD group (OR = 1.43, 95%CI: 1.16–1.76, p = 0.0008); while patients with genotype C/C and T/C in rs1565445 were less likely to develop TRD than those carrying T/T (OR = 0.52, 95%CI: 0.33–0.82; OR = 0.72, 95%CI: 0.54–0.97, respectively; p = 0.005). Haplotype T–T (rs1565445 and rs1387923) had 1.41-fold increased risk of TRD (p = 0.0014). Furthermore, significant four-locus (rs1387923-rs1565445-rs2769605-rs6265) gene-gene interactions were detected by the Multifactor-dimensionality reduction (MDR) method. Discussion These results suggest that the interactions of BDNF (rs6265) with NTRK2 (rs1387923, rs2769605 and rs1565445) gene polymorphisms likely play an essential role in the development of TRD in Han Chinese MDD patients.

Nowadays, risperidone is an atypical antipsychotic drug that has been increasingly used for treatment and maintenance therapy in schizophrenia. However, partially affected by genetic or environmental factors, there is significant difference in treatment outcomes among patients. In this study, we aimed to interpret the difference between good and poor responders treated with risperidone in both genetic and epigenetic levels in 288 mainland Chinese patients. We recruited a Henan cohort including 98 patients as initial discovery group and then confirmed our results in Shanghai cohort. In genetic studies, we found 10 candidate single-nucleotide polymorphisms (SNPs) and 2 rare variants in Henan cohort by next-generation sequencing of 100 risperidone-response-related genes. After replication in Shanghai cohort by massarray platform, ultimately, rs6706232 and rs4818 were significantly associated with risperidone response in the two cohort meta-analysis (P=0.024 and 0.04, respectively). Besides, we also selected another reported 17 candidate SNPs associated with risperidone drug response to replicate in our mainland Chinese samples, while, we found no significant SNPs after Bonferroni correction. In epigenetic studies, we investigated the methylation status in promoters or gene-coding region of risperidone drug response-related genes including CYP3A4, CYP2D6, ABCB1, HTR2A, DRD2. Totally we found seven significant CpG sites in the meta-analysis with Bonferroni-corrected PCYP3A4_CpG_-36=0.0014, PCYP3A4_CpG_-258=0.0013, PCYP3A4_CpG_-296=0.0014, PCYP3A4_CpG_-367:-372:-374=0.028, PCYP2D6_CpG_193=0.012, PCYP2D6_CpG_242:244:250=0.00076 and PCYP2D6_CpG_284=0.034, respectively. As genetic and epigenetic factors may interactively affect drug response, we finally carried out a multivariant interaction analysis with multifactor dimensionality reduction and discovered a significant four-locus model (CYP3A4_CpG_-82:-86 +rs6280+rs1800497+rs6265, P=0.038) affecting drug response. These findings could partially explain different risperidone response outcome in Chinese population in a systematic level.