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It is hypothesized that vitamin B12 may prevent tumor initiation during the early stage of carcinogenesis such as esophageal precancerous lesions (EPL), whereas an excessive level may promote tumor progression during the later stages of carcinogenesis. This study aimed to determine the role of vitamin B12 in EPL by detecting vitamin B12-related markers in both blood and diet. This case–control study based on 3-day duplicated diet samples was conducted in a high-risk area of Huai'an, China. A 100 EPL cases and 100 healthy controls matched by gender, age (± 2 years) and villages were included. Dietary intake of vitamin B12 and cobalt, plasma cobalt level, the serum levels of vitamin B12 and transcobalamin II (TC II) were quantitatively analyzed. Dietary vitamin B12 intake (p for trend = 0.384) and plasma cobalt level (p for trend = 0.253) were not associated with EPL risk, but high dietary cobalt intake (p for trend = 0.034), increased serum levels of vitamin B12 (p for trend = 0.036) and TC II (p for trend

Ovarian cancer (OC), one of the most common malignancies of the female reproductive system, is characterized by high incidence and poor prognosis. Tumor mutation burden (TMB), as an important biomarker that can represent the degree of tumor mutation, is emerging as a key indicator for predicting the efficacy of tumor immunotherapy. In our study, the gene expression profiles of OC were downloaded from TCGA and GEO databases. Subsequently, we analyzed the prognostic value of TMB in OC and found that a higher TMB score was significantly associated with a better prognosis (p = 0.004). According to the median score of TMB, 9 key TMB related immune prognostic genes were selected by LASSO regression for constructing a TMB associated immune risk score (TMB-IRS) signature, which can effectively predict the prognosis of OC patients (HR = 2.32, 95% CI = 1.68–3.32; AUC = 0.754). Interestingly, TMB-IRS is also closely related to the level of immune cell infiltration and immune checkpoint molecules (PD1, PD-L1, CTLA4, PD-L2) in OC. Furthermore, the nomogram combined with TMB-IRS and a variety of clinicopathological features can more comprehensively evaluate the prognosis of patients. In conclusion, we explored the relationship between TMB and prognosis and validated the TMB-IRS signature based on TMB score in an independent database (HR = 1.60, 95% CI = 1.13–2.27; AUC = 0.639), which may serve as a novel biomarker for predicting OC prognosis as well as possible therapeutic targets.

Fanconi anemia (FA) pathway is a typical and multienzyme-regulated DNA damage repairer that influences the occurrence and development of disease including cancers. Few comprehensive analyses were reported about the role of FA-related genes (FARGs) and their prognostic values in cancers. In this study, a comprehensive pan-cancer analysis on 79 FARGs was performed. According to the correlation analyses between HPV integration sites and FARGs, we found that FARGs played specific and critical roles in HPV-related cancers, especially in cervical cancer (CC). Based on this, a FARGs-associated prognostic risk score (FPS) model was constructed, and subsequently a nomogram model containing the FPS was developed with a good accuracy for CC overall survival (OS) and recurrence-free survival (RFS) outcome prediction. We also used the similar expression pattern of FARGs by consensus clustering analysis to separate the patients into three subgroups that exhibited significant differential OS but not RFS. Moreover, differential expressed genes (DEGs) between the two risk groups or three clusters were identified and immune pathways as well as cell adhesion processes were determined by functional enrichment analysis. Results indicated that FARGs might promote occurrence and development of CC by regulating the immune cells’ infiltration and cell adhesion. In addition, through the machine learning models containing decision tree, random forest, naïve bayes, and support vector machine models, screening of important variables on CC prognosis, we finally determined that ZBTB32 and CENPS were the main elements affecting CC OS, while PALB2 and BRCA2 were for RFS. Kaplan-Meier analysis revealed that bivariate prediction of CC outcome was reliable. Our study systematically analyzed the prognostic prediction values of FARGs and demonstrated their potential mechanism in CC aggressiveness. Results provided perspective in FA pathway-associated modification and theoretical basis for CC clinical treatments.

Background To rummage autophagy-related prognostic, diagnostic, and therapeutic biomarkers in cervical cancer (CC). Methods The RNA-sequence and clinical information were from the TCGA and GTEx databases. We operated Cox regression to determine signatures related to overall survival (OS) and recurrence-free survival (RFS) respectively. The diagnostic and therapeutic effectiveness of prognostic biomarkers were further explored. Results We identified nine (VAMP7, MTMR14, ATG4D, KLHL24, TP73, NAMPT, CD46, HGS, ATG4C) and three risk signatures (SERPINA1, HSPB8, SUPT20H) with prognostic values for OS and RFS respectively. Six risk signatures (ATG4C, ATG4D, CD46, TP73, SERPINA1, HSPB8) were selected for qPCR. We screened five prognostic signatures(ATG4C, CD46, HSPB8, MTMR14, NAMPT) with diagnostic function through the GEO database. Correlation between our models and treatment targets certificated the prognostic score provided a reference for precision medicine. Conclusions We constructed OS and RFS prognostic models in CC. Autophagy-related risk signatures might serve as diagnostic and therapeutic biomarkers.

It is hypothesized that vitamin BThis case-control study based on 3-day duplicated diet samples was conducted in a high-risk area of Huai'an, China. A 100 EPL cases and 100 healthy controls matched by gender, age (± 2 years) and villages were included. Dietary intake of vitamin BDietary vitamin BExcellent transport capability of bio-active vitamin B

In the interest of developing novel electrocatalyst for high performance DNA biosensing, with distinctive chiral double helix nanostructure, nitrogen doped chiral carbonaceous nanotube (Chiral-CNT) was employed for ultrasensitive label-free DNA biosensing research. Chiral-CNT can quantitative detection of four DNA bases with high sensitivity and selectivity. Without any prehydrolysis and labeling process, direct electrochemistry of single-stranded DNA and double-stranded DNA, qualitative and quantitative detection of DNA hybridization (low detection limit: 0.0268 g L−1) were realized. Moreover, sensitive detection of DNA damage induced by fenton reagent was also realized with low detection limit of 0.0350 mg mL−1 and high sensitivity of 7.42 μA mg−1 mL. The high biosensing performance attributes to the unique chiral structure of Chiral-CNT, leads to efficient interreaction between Chiral-CNT and DNA molecule.

The development of low-cost and highly efficient hydrogen evolution reaction (HER) catalysts has driven continuous effort. Here we develop a one-step preparation method of novel two-dimensional coupled hybrid of molybdenum carbide embedded N-doped carbon nanolayer architecture (MoCx-N/CNL) using cheap cotton as carbon and nitrogen precursor and ammonium molybdate as Mo precursor. Transmission electron microscopy (TEM), high resolution transmission electron microscopy (HRTEM), selected area electron diffraction (SAED), energy dispersive X-ray spectra (EDS), scanning electron microscopy (SEM), element mapping, X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS) were utilized to characterize the as-prepared nanocomposites. The synergistic effect between dispersive Mo2C particles and N doping in MoCx-N/CNL leads to remarkable HER performance in acidic media. Different amount of Mo were doped in the samples by arranging the ammonium molybdate concentration. Three samples were obtained and MoCx-N/CNL-3 showed better HER electrocatalytic performance than other two samples. Moreover, the as prepared MoCx-N/CNL-3 exhibits excellent stability and durability in acidic media. A new viable route is provided to prepare molybdenum carbide embedded N-doped carbon hybrid architecture with higher HER stability and activity, it is of significance in novel HER catalyst preparation.

Novel potential type electrochemical chiral biosensing system with unique capability of distinguishing and quantitating of tyrosine (Tyr) enantiomers by L-cysteic acid and left-handed chiral carbonaceous nanotubes (L-CCNT) modified glassy carbon electrode (L-Cys/L-CCNT/GCE) was first developed. The effect of sweep cycles of L-Cys and the kinds of L-CCNT on electrochemical chiral biosensing performance of L-Cys/L-CCNT/GCE were investigated. The electrochemical identification and quantitative determination of L- and D-tyrosine in their mixed solution were successfully achieved based on the different oxidation potential signals. The chiral structure of L-CCNT, the aromatic ring of Tyr, and also the intermolecular hydrogen bond between cysteic acid (CyA) and Tyr could possibly produce the difference in the free energy, which reflects as potential difference of L- and D-tyrosine. A good linear relationship between the potential, current, and different concentration ratios of L- and D-Tyr was obtained. Our present work realizes the simultaneous detection of Tyr enantiomers in their mixed solution based on the different potential signals, and it is of far-reaching significance in real electrochemical chiral biosensor study.

Recently, several studies have showed that FAS (rs2234767, rs1800682) and FASL (rs763110) functional single nucleotide polymorphisms (SNPs) were associated with the risk of various cancers. However, the association between cervical cancer risk and the three SNPs above remained inconclusive. In this work, we performed a two-stage case-control study on 1155 cervical cancer patients and 1252 matched healthy controls to determine the roles of the mentioned SNPs in cervical cancer susceptibility. We genotyped the FAS rs2234767, rs1800682, and FASL rs763110 polymorphisms by using PCR-TaqMan assays. Results revealed that the rs763110 TT genotype significantly increased the risk of cervical cancer compared with the CC/CT genotype (adjusted OR = 1.70, 95% CI = 1.19–2.42). However, we did not observe any association between the cervical cancer risk and the rs2234767 and rs1800682 polymorphisms. The immunohistochemistry assay showed that patients carrying the rs763110 TT genotype presented a lower cancerous FASL expression than that of the CC/CT genotypes. Chromatin immunoprecipitation (ChIP) and Sequential Chromatin immunoprecipitation (Re-ChIP) assays also demonstrated that OCT1 was recruited to the FASL promoter region and regulated the FASL gene transcription by interacting with C/EBPβ. In conclusion, this study provided evidence indicating that the rs763110 variant in the FASL promoter was associated with the risk of cervical cancer by affecting the binding affinity of the CEBP/β/OCT1 complex to chromatin. This article is protected by copyright. All rights reserved.

In the present work, a nitrogen doped graphene/ordered mesoporous metal oxides hybrid architecture (OMM-NGR) was prepared by a convenient procedure for the first time. During the preparation process, nitrogen doping, graphene reduction and ordered mesoporous metal oxides formation were successfully realized in one-step procedure. Transmission electron microscopy (TEM), energy-dispersive X-ray (EDX), elemental mapping, X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS) were employed to characterize the as-prepared nanocomposites. The hybrid architecture enables a good combination of electrochemically active metal oxide nanoparticles and graphene sheets, leading to the electrocatalytic advantages of both nitrogen doped graphene and ordered mesoporous metal oxides. The electrocatalytic performance of the nanocomposites was studied by using glucose, L-cysteine, uric acid (UA) and H2O2 as redox probes. The performance of OMM (M: Co, Fe)-NGR is found to be greatly improved compared to NGR. Furthermore, electrocatalytic quantitative and qualitative detection performance of OMM (M: Co, Fe)-NGR have been studied in detail. OMM (M: Co, Fe)-NGR exhibits outstanding electrocatalytic activity towards the probes with low detection limits, high reproducibility, good selectivity and long stability. The present OMM (M: Co, Fe)-NGR is a promising nanomaterial for electrochemical biosensing application.

Needlestick and sharps injuries (NSIs) are a major occupational injury to health care workers worldwide. This study aimed to report the prevalence and risk factors of NSIs among nurses working at a Chinese teaching hospital. From 463 nurses, 402 completed questionnaires were obtained. A total of 261 (64.9%) nurses reported needlestick or sharps injuries. NSIs were more common among females, young nurses, surgical nurses, and junior nurses. Logistic regression analysis suggests that age and work department were independent risk factors for NSIs. By type of devices, syringe needles accounted for the highest proportion of all NSIs (59%), followed by glass items (22%), and trocar core/catheter wires (4%). NSIs remain an important occupational hazard issue or Chinese nurses. Programs must be developed to prevent injuries caused by needlesticks and sharps.

This study describes electric bike–related injuries from 2004 to 2010, and suggests injury prevention strategies to reduce electric bike–related injuries in China and other countries. Electric bike–related injuries data were obtained from the Bureau of Traffic Management at the Ministry of Public Security. Linear regression was used to identify statistically significant trends in electric bike–related injuries over the period. The results showed electric bike–related nonfatal injury rate had increased almost 4-fold and mortality rate increased 6-fold from 2004 to 2010. Linear regression showed a significant increase of 0.23 per 100 000 population per year (95% confidence interval = 0.18-0.29, P < .001) in the casualty rate from electric bike–related road traffic injuries. China will face new challenges arising from electric bike–related injuries. Programs need to be developed to prevent nonfatal injuries and fatalities caused by electric bike–related crashes in this country.

Recently, several studies have showed that FAS (rs2234767, rs1800682) and FASL (rs763110) functional single nucleotide polymorphisms (SNPs) were associated with the risk of various cancers. However, the association between cervical cancer risk and the three SNPs above remained inconclusive. In this work, we performed a two-stage case-control study on 1155 cervical cancer patients and 1252 matched healthy controls to determine the roles of the mentioned SNPs in cervical cancer susceptibility. We genotyped the FAS rs2234767, rs1800682, and FASL rs763110 polymorphisms using PCR-TaqMan assays. Results revealed that the rs763110 TT genotype significantly increased the risk of cervical cancer compared with the CC/CT genotype (adjusted OR = 1.70, 95% CI = 1.19-2.42). However, we did not observe any association between the cervical cancer risk and the rs2234767 and rs1800682 polymorphisms. The immunohistochemistry assay showed that patients carrying the rs763110 TT genotype presented a lower cancerous FASL expression than that of the CC/CT genotypes. Chromatin immunoprecipitation (ChIP) and Sequential Chromatin immunoprecipitation assays also demonstrated that OCT1 was recruited to the FASL promoter region and regulated the FASL gene transcription by interacting with C/EBPβ. In conclusion, this study provided evidence indicating that the rs763110 variant in the FASL promoter was associated with the risk of cervical cancer by affecting the binding affinity of the C/EBPβ/OCT1 complex to chromatin.

Genetic variants in miRNAs have attracted more and more attention these years because they are capable of altering miRNA function and/or expression, consequently affecting downstream biological pathways and disease risk. The rs767649 polymorphism, locating in the promoter of miR-155, was recently reported to be able to alter transcriptional activity of miR-155 and relate to lung cancer risk. In this study, we aimed to assess the relationship between rs767649 and cervical cancer (CC) risk. We investigated the association of rs767649 with CC risk in a two-stage case-control study with 1157 cases and 1280 controls. Genotyping was determined with TaqMan allelic discrimination method. The results showed that the rs767649 TT genotype was associated with a significantly reduced risk of CC in both test (549 cases and 603 controls), validation (608 cases and 677 controls) and combined sets [adjusted odds ratio (OR) = 0.67, 95% confidence interval (CI) = 0.51–0.87 for the combined set] compared with the AA/AT genotypes. Moreover, the association was more prominent among patients of age > 49 years and postmenopausal status (OR = 0.56, 95% CI = 0.38–0.83, and 0.60, 0.40–0.89, respectively) and patients with clinical stage I and II CC (OR = 0.67, 95% CI = 0.50–0.91, and 0.60, 0.40–0.92, respectively). Further analyses showed that miR-155 was overexpressed in the CC tissues as compared with normal tissues, suggesting an oncogenic role in CC. Luciferase assay indicated that the transition of A to T allele might lead to miR-155 downregulation at the transcriptional level. In conclusion, rs767649 might be a causal variant for CC susceptibility.

Objective: The objective of this study was to identify the prevalence and potential risk factors of farm vehicle–related road traffic crashes among farm vehicle drivers in southern China. Methods: A cross-sectional study was used to interview 1,422 farm vehicle drivers in southern China. Farm vehicle–related road traffic crashes that occurred from December 2013 to November 2014 were investigated. Data on farm vehicle–related road traffic crashes and related factors were collected by face-to-face interviews. Results: The prevalence of farm vehicle–related road traffic crashes among the investigated drivers was 7.2%. Farm vehicle–related road traffic crashes were significantly associated with self-reported vision problem (adjusted odds ratio [AOR] = 6.48, 95% confidence interval [CI], 3.86–10.87), self-reported sleep disorders (AOR = 10.03, 95% CI, 6.28–15.99), self-reported stress (AOR = 20.47, 95% CI, 9.96–42.08), reported history of crashes (AOR = 5.40, 95% CI, 3.47–8.42), reported history of drunk driving (AOR = 5.07, 95% CI, 2.97–8.65), and reported history of fatigued driving (AOR = 5.72, 95% CI, 3.73–8.78). The number of road traffic crashes was highest in the daytime and during harvest season. In over 96% of farm vehicle–related road traffic crashes, drivers were believed to be responsible for the crash. Major crash-causing factors included improper driving, careless driving, violating of traffic signals or signs, and being in the wrong lane. Conclusion: Findings of this study suggest that farm vehicle–related road traffic crashes have become a burgeoning public health problem in China. Programs need to be developed to prevent farm vehicle–related road traffic crashes in this emerging country.

Purpose Road traffic injuries have become a major public health problem in China. This study aimed to develop statistical models for predicting road traffic deaths and to analyze seasonality of deaths in China. Methods A seasonal autoregressive integrated moving average (SARIMA) model was used to fit the data from 2000 to 2011. Akaike Information Criterion, Bayesian Information Criterion, and mean absolute percentage error were used to evaluate the constructed models. Autocorrelation function and partial autocorrelation function of residuals and Ljung–Box test were used to compare the goodness-of-fit between the different models. The SARIMA model was used to forecast monthly road traffic deaths in 2012. Results The seasonal pattern of road traffic mortality data was statistically significant in China. SARIMA (1, 1, 1) (0, 1, 1)12 model was the best fitting model among various candidate models; the Akaike Information Criterion, Bayesian Information Criterion, and mean absolute percentage error were −483.679, −475.053, and 4.937, respectively. Goodness-of-fit testing showed nonautocorrelations in the residuals of the model (Ljung–Box test, Q = 4.86, P = .993). The fitted deaths using the SARIMA (1, 1, 1) (0, 1, 1)12 model for years 2000 to 2011 closely followed the observed number of road traffic deaths for the same years. The predicted and observed deaths were also very close for 2012. Conclusions This study suggests that accurate forecasting of road traffic death incidence is possible using SARIMA model. The SARIMA model applied to historical road traffic deaths data could provide important evidence of burden of road traffic injuries in China.