Food aflatoxin exposure assessment in Sichuan Province, China.

Aflatoxins (AFs) are frequent contaminants in crops worldwide and can cause adverse health effects in exposed humans. Since foods AFs (AFB1, AFB2, AFG1, AFG2) contamination in Sichuan Province are unexplored, we conducted a study to assess AFs exposure in the population. In total, 318 samples, including grains, red chilli, red chilli powder, and vegetable protein beverages, were collected from 13 cities of Sichuan Province, China, in 2022. AFs were detected in all types of foods except for wheat flour, the highest incidence was found in red chilli powder (75.0%). The concentrations of AFtot (the total aflatoxins) ranged between ND (not detected) and 54.20 µg kg-1. It was observed that the AFs profile was dominated by AFB1. The AFB1 content ranged from ND to 52.60 µg kg-1 across food types. According to EU maximum limits (ML) of AFs, 2.8% of samples exceeded the AFtot limits. For AFB1, 0.4% and 4.3% of samples exceeded the China and EU limits, respectively. In this study, packaging types and sampling sites were selected as parameters influence food aflatoxin contamination. Nevertheless, there was no significant difference between different samples. According to exposure assessment and risk characterization, AFtot daily exposure was shown to be 0.263 and 283.936 ng kg-1 bw for the lower and upper exposure. The MOE value derived from consumption grains and red chilli pepper products were generally bellow 10 000, and liver cancer cases based on these two foods consumption could range from < 0.001 to 0.16 cases per year/10 000 persons.

Occurrence and exposure assessment of aflatoxins in Zhejiang province, China.

The purpose of this study was to assess the risk of aflatoxins due to multiple food consumption among the Zhejiang population. Ultra-high-performance liquid chromatography coupled with tandem mass spectrometry method was used to determine aflatoxins in 792 samples. Aflatoxins were detected in 27.1% of the samples at levels between 0.07 and 262.63 µg kg-1, and aflatoxins B1 was the most frequently detected among different types of samples. 0.8% of peanut oil, 3.39% of nut products as well as 1.1% of condiments contaminated with aflatoxins B1 exceeded China national tolerance limits. Peanut oil had the highest incidence of aflatoxin, with a range from 0.17 to 22.50 µg kg-1. Using bags conferred limited advantages in reducing aflatoxin contents. Moreover, peanut and rice were the main contributors to dietary exposure to aflatoxins among Zhejiang residents. Finally, the margin of exposure values obtained by rice consumption were far from the safe margin of 10,000, indicating a potential risk to public health. The results pointed out the need for further prioritization of aflatoxins B1 risk-management actions in Zhejiang.

Decision-Tree Based Meta-Strategy Improved Accuracy of Disorder Prediction and Identified Novel Disordered Residues Inside Binding Motifs.

Using computational techniques to identify intrinsically disordered residues is practical and effective in biological studies. Therefore, designing novel high-accuracy strategies is always preferable when existing strategies have a lot of room for improvement. Among many possibilities, a meta-strategy that integrates the results of multiple individual predictors has been broadly used to improve the overall performance of predictors. Nonetheless, a simple and direct integration of individual predictors may not effectively improve the performance. In this project, dual-threshold two-step significance voting and neural networks were used to integrate the predictive results of four individual predictors, including: DisEMBL, IUPred, VSL2, and ESpritz. The new meta-strategy has improved the prediction performance of intrinsically disordered residues significantly, compared to all four individual predictors and another four recently-designed predictors. The improvement was validated using five-fold cross-validation and in independent test datasets.

Improving prediction accuracy using decision-tree-based meta-strategy and multi-threshold sequential-voting exemplified by miRNA target prediction.

Lots of computational predictors have been developed for fast and large-scale analysis of biological data. However, many of them were developed long time ago when training datasets or sets of input features were rather small. Consequently, the utility of these predictors in much large datasets, which are very common in nowadays, need to be examined carefully. In addition, with the rapid development of scientific research, the expectation on the prediction accuracy of computational predictors is continuously uplifting. Therefore, developing novel strategies to improve the prediction accuracies of computational predictors becomes critical. In this study, the predictive results of existing individual miRNA target predictors were integrated into a decision-tree to make meta-prediction. When the multi-threshold sequential-voting technique was used, the prediction accuracy of the decision-tree was significantly improved by at least thirty percentage points compared to the individual predictors.

Assessment of a multiple biomarker panel for diagnosis of amyotrophic lateral sclerosis.

BACKGROUND: The aim of the study was to assess a panel of promising biomarkers for their ability to improve diagnosis of sporadic amyotrophic lateral sclerosis (ALS). METHODS: Forty patients with sporadic ALS and 40 controls with other neurological diseases were evaluated. Levels of phosphorylated neurofilament heavy chain (pNfH), S100-ß, cystatin C, and chitotriosidase (CHIT) in cerebrospinal fluid were assayed using two-site solid-phase sandwich ELISA. RESULTS: Patients with sporadic ALS showed higher levels of pNfH and CHIT than controls, but lower levels of cystatin C. Multivariate logistic regression that adjusted for patient age and sex identified significant associations between sporadic ALS and levels of pNfH, CHIT and cystatin C. Levels of pNfH correlated positively with rate of progression and decline based on the Amyotrophic Lateral Sclerosis Functional Rating Scale - Revised. Based on receiver operating curve analysis, a pNfH cut-off of 437 ng/L discriminated patients from controls with a sensitivity of 97.3 % and specificity of 83.8 %. A CHIT cut-off of 1593.779 ng/L discriminated patients from controls with a sensitivity of 83.8 % and specificity of 81.1 %. Combining the two biomarkers gave a sensitivity of 83.8 % and specificity of 91.9 %. CONCLUSIONS: Levels of pNfH in cerebrospinal fluid may be a reliable biomarker for diagnosing ALS, and combining this biomarker with levels of CHIT may improve diagnostic accuracy.

Assessment of TREM2 rs75932628 association with Parkinson's disease and multiple system atrophy in a Chinese population.

Although rs75932628 in triggering receptor expressed on myeloid cells 2 (TREM2) was shown to increase the risk for Alzheimer's disease, there is no agreement on the association between this variant and the risk for Parkinson's disease (PD). Considering the overlapping of clinical manifestation and pathologic characteristics of PD and multiple system atrophy (MSA), we conducted a large-sample study to investigate the associations between this variant and these two neurodegenerative diseases in a Chinese population. A total of 1216 PD, 406 MSA patients, and 869 healthy controls were included. All cases were genotyped for the Single Nucleotide Polymorphisms (SNP) using Sequenom iPLEX Assay technology. The rs75932628-T variant of the TREM2 gene was not identified in PD patients and controls. The genotype frequency of rs75932628-T SNP in MSA patients was 0.25% (1/406). However, no significant correlation was identified between this variant and the risk for MSA. TREM2 rs75932628 is unlikely to play a major role in the pathogenesis of these neurodegenerative diseases. Our findings argue against a generalized immune dysfunction triggered by the variant in the TREM2 gene.

Assessment of TREM2 rs75932628 association with amyotrophic lateral sclerosis in a Chinese population.

Although, rs75932628 in triggering receptor expressed on myeloid cells 2 (TREM2) was shown to increase the risk for Alzheimer's disease, there is no agreement on the association between this variant and the risk for amyotrophic lateral sclerosis (ALS). We conducted a large-sample study to investigate if this variant is associated with ALS in a Chinese population. A total of 868 sporadic ALS (SALS) and 869 healthy controls were included. All cases were genotyped for the single nucleotide polymorphisms (SNP) using Sequenom iPLEX Assay technology. The rs75932628-T variant of the TREM2 gene was not identified in SALS patients and controls. It is unlikely to play a role in the pathogenesis of ALS in Chinese patients with SALS.