Establishment and validation of an artificial intelligence-based model for real-time detection and classification of colorectal adenoma.

Colorectal cancer (CRC) prevention requires early detection and removal of adenomas. We aimed to develop a computational model for real-time detection and classification of colorectal adenoma. Computationally constrained background based on real-time detection, we propose an improved adaptive lightweight ensemble model for real-time detection and classification of adenomas and other polyps. Firstly, we devised an adaptive lightweight network modification and effective training strategy to diminish the computational requirements for real-time detection. Secondly, by integrating the adaptive lightweight YOLOv4 with the single shot multibox detector network, we established the adaptive small object detection ensemble (ASODE) model, which enhances the precision of detecting target polyps without significantly increasing the model's memory footprint. We conducted simulated training using clinical colonoscopy images and videos to validate the method's performance, extracting features from 1148 polyps and employing a confidence threshold of 0.5 to filter out low-confidence sample predictions. Finally, compared to state-of-the-art models, our ASODE model demonstrated superior performance. In the test set, the sensitivity of images and videos reached 87.96% and 92.31%, respectively. Additionally, the ASODE model achieved an accuracy of 92.70% for adenoma detection with a false positive rate of 8.18%. Training results indicate the effectiveness of our method in classifying small polyps. Our model exhibits remarkable performance in real-time detection of colorectal adenomas, serving as a reliable tool for assisting endoscopists.

Unsupervised Conditional Diffusion Models in Video Anomaly Detection for Monitoring Dust Pollution.

Video surveillance is widely used in monitoring environmental pollution, particularly harmful dust. Currently, manual video monitoring remains the predominant method for analyzing potential pollution, which is inefficient and prone to errors. In this paper, we introduce a new unsupervised method based on latent diffusion models. Specifically, we propose a spatio-temporal network structure, which better integrates the spatial and temporal features of videos. Our conditional guidance mechanism samples frames of input videos to guide high-quality generation and obtains frame-level anomaly scores, comparing generated videos with original ones. We also propose an efficient compression strategy to reduce computational costs, allowing the model to perform in a latent space. The superiority of our method was demonstrated by numerical experiments in three public benchmarks and practical application analysis in coal mining over previous SOTA methods with better AUC, of at most over 3%. Our method accurately detects abnormal patterns in multiple challenging environmental monitoring scenarios, illustrating the potential application possibilities in the environmental protection domain and beyond.

Alterations in leukocyte telomere length and mitochondrial DNA copy number in benzene poisoning patients.

OBJECTIVE: The aim of this study is to examine and evaluate the impact of benzene poisoning on the relative content of the mitochondrial MT-ND1 gene and telomere length in individuals with occupational chronic benzene poisoning (CBP) compared to a control group. The study will analyze and gather data on the mitochondrial gene content and telomere length in cases of benzene poisoning, and investigate the relationship with blood routine parameters in order to contribute scientific experimental data for the prevention and treatment of CBP. METHOD: The case group comprised 30 individuals diagnosed with occupational chronic benzene poisoning, whereas the control group consisted of 60 healthy individuals who underwent physical examinations at our hospital concurrently. Blood routine indicators were detected and analyzed, and the PCR method was employed to measure changes in mitochondrial MT-ND1 content and telomere length. Subsequently, a comparison and analysis of the aforementioned indicators was conducted. RESULT: The case group exhibited a higher mitochondrial gene content (median 366.2, IQR 90.0 rate) compared to the control group (median 101.5, IQR 12.0 rate), with a statistically significant difference between the two groups (P < 0.05). Additionally, the case group demonstrated lower white blood cell levels (3.78 ± 1.387 × 109/L) compared to the control group (5.74 ± 1.41 × 109/L), with a significant difference between the two groups (P < 0.05). Furthermore, the case group displayed lower red blood cell levels (3.86 ± 0.65 × 1012/L) compared to the control group (4.89 ± 0.65 × 1012/L), with a significant difference between the two groups (P < 0.05). The hemoglobin level in the case group (113.33 ± 16.34 g/L) was lower than that in the control group (138.22 ± 13.22 g/L). There was a significant difference between the two groups (P < 0.05). Platelet levels in the case group (153.80 ± 58.31 × 109/L) is smaller than the control group (244.92 ± 51.99 × 109/L), there was a significant difference between the two groups (P < 0.05). The average telomere length of the normal control group was 1.451 ± 0.475 (rate); The mean telomere length of individuals in the case group diagnosed with benzene poisoning was determined to be 1.237 ± 0.457 (rate). No significant correlation was observed between telomere length and three blood routine parameters, namely white blood cells (WBC), hemoglobin (HB), and platelets (PLT). However, a significant correlation was found between telomere length and red blood cell count (RBC). Additionally, a negative correlation was observed between mitochondrial gene content and white blood cell count (r = - 0.314, P = 0.026), as well as between mitochondrial gene content and red blood cell count (r = - 0.226, P = 0.032). Furthermore, a negative correlation was identified between mitochondrial gene content and hemoglobin (r = - 0.314, P = 0.028), and platelets (r = - 0.445, P = 0.001). CONCLUSION: Individuals diagnosed with occupational chronic benzene poisoning exhibit a reduction in telomere length and an elevation in the relative content of the mitochondrial MT-ND1 gene. Moreover, a negative correlation is observed between the content of the mitochondrial MT-ND1 gene and four blood routine parameters, namely white blood cells (WBC), red blood cells (RBC), hemoglobin (HB), and platelets (PLT). Consequently, benzene exposure may potentially contribute to the onset of premature aging.

Machine Learning-Based Virtual Screening and Identification of the Fourth-Generation EGFR Inhibitors.

Epidermal growth factor receptor (EGFR) plays a pivotal regulatory role in treating patients with advanced nonsmall cell lung cancer (NSCLC). Following the emergence of the EGFR tertiary CIS C797S mutation, all types of inhibitors lose their inhibitory activity, necessitating the urgent development of new inhibitors. Computer systems employ machine learning methods to process substantial volumes of data and construct models that enable more accurate predictions of the outcomes of new inputs. The purpose of this article is to uncover innovative fourth-generation epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) with the aid of machine learning techniques. The paper's data set was high-dimensional and sparse, encompassing both structured and unstructured descriptors. To address this considerable challenge, we introduced a fusion framework to select critical molecule descriptors by integrating the full quadratic effect model and the Lasso model. Based on structural descriptors obtained from the full quadratic effect model, we conceived and synthesized a variety of small-molecule inhibitors. These inhibitors demonstrated potent inhibitory effects on the two mutated kinases L858R/T790M/C797S and Del19/T790M/C797S. Moreover, we applied our model to virtual screening, successfully identifying four hit compounds. We have evaluated these hit ADME characteristics and look forward to conducting activity evaluations on them in the future to discover a new generation of EGFR-TKI.

Induced oxidative stress and apoptosis by 1-bromopropane in SH-SY5Y cells correlates with inhibition of Nrf2 function.

In this study, we established SH-SY5Y human neuroblastoma cells as an in vitro model to investigate whether oxidative stress and the nuclear erythroid-2 related factor 2 (Nrf2) signaling pathway are associated with 1-bromopropane (1-BP) -induced nerve cell injury. We identified that 1-BP exhibited neurotoxicity mainly through oxidant-based processes in SH-SY5Y cells, as reactive oxygen species, malondialdehyde levels, and 8-hydroxy-2' -deoxyguanosine significantly increased, while superoxide dismutase activity decreased. Furthermore, Nrf2 translocation from the cytosol to the nucleus was inhibited, as was downstream protein expression of the Nrf2-regulated genes HO-1 and Bcl-2. Activation of caspase-9 and -3 increased, and apoptosis was observed. Vitamin C alleviated 1-BP-induced apoptosis by decreasing oxidative stress and activating the Nrf2 signaling pathway. Knockdown of Nrf2 in SH-SY5Y cells increased 1-BP-induced reactive oxygen species production and cell apoptosis, and inhibited HO-1 and Bcl-2 protein expression, while overexpression of Nrf2 alleviated these processes. These findings suggest that 1-BP-induced oxidative stress and apoptosis in SH-SY5Y cells are associated with Nrf2 function inhibition.

Efficacy of COVID-19 vaccines in inflammatory bowel disease patients receiving anti-TNF therapy: A systematic review and meta-analysis.

Background and objectives: There are concerns about the serological responses to Coronavirus disease 2019 (COVID-19) vaccines in inflammatory bowel disease (IBD) patients, particularly those receiving anti-TNF therapy. This study aimed to systematically evaluate the efficacy of COVID-19 vaccines in IBD patients receiving anti-TNF therapy. Methods: Electronic databases were searched to identify relevant studies. We calculated pooled seroconversion rate after COVID-19 vaccination and subgroup analysis for vaccine types and different treatments were performed. Additionally, we estimated pooled rate of T cell response, neutralization response, and breakthrough infections in this population. Results: 32 studies were included in the meta-analysis. IBD patients receiving anti-TNF therapy had relatively high overall seroconversion rate after complete vaccination, with no statistical difference in antibody responses associated with different drug treatments. The pooled positivity rate of T cell response was 0.85 in IBD patients receiving anti-TNF therapy. Compared with healthy controls, the positivity of neutralization assays was significantly lower in IBD patients receiving anti-TNF therapy. The pooled rate of breakthrough infections in IBD patients receiving anti-TNF therapy was 0.04. Conclusions: COVID-19 vaccines have shown good efficacy in IBD patients receiving anti-TNF therapy. However, IBD patients receiving anti-TNF have a relatively high rate of breakthrough infections and a low level of neutralization response.

A CT-based predictive model for stent-induced vessel damage: application to type B aortic dissection.

OBJECTIVES: The distal stent-induced new entry (distal SINE) is a life-threatening device-related complication after thoracic endovascular aortic repair (TEVAR). However, risk factors for distal SINE are not fully determined, and prediction models are lacking. This study aimed to establish a predictive model for distal SINE based on the preoperative dataset. METHODS: Two hundred and six patients with Stanford type B aortic dissection (TBAD) that experienced TEVAR were involved in this study. Among them, thirty patients developed distal SINE. Pre-TEVAR morphological parameters were measured based on the CT-reconstructed configurations. Virtual post-TEVAR morphological and mechanical parameters were computed via the virtual stenting algorithm (VSA). Two predictive models (PM-1 and PM-2) were developed and presented as nomograms to help risk evaluation of distal SINE. The performance of the proposed predictive models was evaluated and internal validation was conducted. RESULTS: Machine-selected variables for PM-1 included key pre-TEVAR parameters, and those for PM-2 included key virtual post-TEVAR parameters. Both models showed good calibration in both development and validation subsamples, while PM-2 outperformed PM-1. The discrimination of PM-2 was better than PM-1 in the development subsample, with an optimism-corrected area under the curve (AUC) of 0.95 and 0.77, respectively. Application of PM-2 in the validation subsample presented good discrimination with an AUC of 0.9727. The decision curve demonstrated that PM-2 was clinically useful. CONCLUSION: This study proposed a predictive model for distal SINE incorporating the CT-based VSA. This predictive model could efficiently predict the risk of distal SINE and thus might contribute to personalized intervention planning. CLINICAL RELEVANCE STATEMENT: This study established a predictive model to evaluate the risk of distal SINE based on the pre-stenting CT dataset and planned device information. With an accurate VSA tool, the predictive model could help to improve the safety of the endovascular repair procedure. KEY POINTS: • Clinically useful prediction models for distal stent-induced new entry are still lacking, and the safety of the stent implantation is hard to guarantee. • Our proposed predictive tool based on a virtual stenting algorithm supports different stenting planning rehearsals and real-time risk evaluation, guiding clinicians to optimize the presurgical plan when necessary. • The established prediction model provides accurate risk evaluation for vessel damage, improving the safety of the intervention procedure.

Impact of chronic benzene poisoning on aberrant mitochondrial DNA methylation: A prospective observational study.

Benzene is used as an industrial solvent, which may result in chronic benzene poisoning (CBP). Several studies suggested that CBP was associated with mitochondrial epigenetic regulation. This study aimed to explore the potential relation between CBP and mitochondrial DNA (mtDNA) methylation. This prospective observational study enrolled CBP patients admitted to Shenzhen Prevention and Treatment Center for Occupational Diseases hospital and healthy individuals between 2018 and 2021. The white blood cell (WBC), red blood cell (RBC), hemoglobin (HB), and platelet (PLT) counts and mtDNA methylation levels were measured using blood flow cytometry and targeted bisulfite sequencing, respectively. A total of 90 participants were recruited, including 30 cases of CBP (20 females, mean age 43.0 ± 8.0 years) and 60 healthy individuals (42 females, mean age 43.5 ± 11.5 years). This study detected 168 mitochondrial methylation sites >0 in all study subjects. The mtDNA methylation levels in the CBP cases were lower than the healthy individuals [median ± interquartile-range (IQR), 25th percentile, 75th percentile: (1.140 ± 0.570, 0.965, 1.535)% vs. median ± IQR, 25th percentile, 75th percentile: (1.705 ± 0.205,1.240,2.445)%, P < 0.05]. Additionally, the spearman correlation analysis showed that the mtDNA methylation levels were positively correlated with the counts of circulating leukocytes [WBC (r = 0.048, P = 0.036)] and platelets [PLT (r = 0.129, P < 0.01)]. We provided solid evidence of association between CBP and aberrant mtDNA methylation.

Whole-exome sequencing identified recurrent and novel variants in benzene-induced leukemia.

BACKGROUND: Genome-wide sequencing may extensively identify potential pathogenic variants, which helps to understand mechanisms of tumorigenesis, but such study has not been reported in benzene-induced leukemia (BIL). METHODS: We recruited 10 BIL patients and conducted the whole-exome sequencing on their peripheral blood samples. The obtained sequencing data were screened for potential pathogenic and novel variants, then the variants-located genes were clustered to identify cancer-related pathways. Shared or recurrent variants among the BIL cases were also identified and evaluated for their potential functional impact. RESULTS: We identified 48,802 variants in exons in total, 97.3% of which were single nucleotide variants. After filtering out variants with minor allele frequency ≥ 1%, we obtained 8667 potentially pathogenic variants, of which 174 were shared by all the BIL cases. The identified variants located in genes that could be significantly enriched into certain cancer-related pathways such as PI3K-AKT signaling pathway and Ras signaling pathway. We also identified 1010 novel variants with no record in the Genome Aggregation Database and in dbSNP, and one of them was shared by 90% cases. The recurrent and novel variant caused a missense mutation in SESN3. CONCLUSIONS: We examined variations of the whole exome in BIL patients for the first time. The commonly shared variants implied a relation with BIL, and the recurrent and novel variant might be specifically related to BIL. The related variants may help unravel the carcinogenic mechanisms of BIL.

A modified SEIR model with a jump in the transmission parameter applied to COVID-19 data on Wuhan.

In December 2019, Wuhan, the capital of Hubei Province, was struck by an outbreak of COVID-19. Numerous studies have been conducted to fit COVID-19 data and make statistical inferences. In applications, functions of the parameters in the model are usually used to assess severity of the outbreak. Because of the strategies applied during the struggle against the pandemic, the trend of the parameters changes abruptly. However, time-varying parameters with a jump have received scant attention in the literature. In this study, a modified SEIR model is proposed to fit the actual situation of the COVID-19 epidemic. In the proposed model, the dynamic propagation system is modified because of the high infectivity during incubation, and a time-varying parametric strategy is suggested to account for the utility of the intervention. A corresponding model selection algorithm based on the information criterion is also suggested to detect the jump in the transmission parameter. A real data analysis based on the COVID-19 epidemic in Wuhan and a simulation study demonstrate the plausibility and validity of the proposed method.

Dynamic analysis of peripheral blood TCR ß-chain CDR3 repertoire in occupational medicamentosa-like dermatitis due to trichloroethylene.

Previously, we had cross-sectionally explored the characteristics of T cell receptor (TCR) repertoires from occupational medicamentosa-like dermatitis due to trichloroethylene (OMDT) patients, now we further analyzed the dynamic features of OMDT TCR repertoires. Peripheral blood TCR ß-chain complementarity-determining region 3 (CDR3) genes were detected with the high throughput sequencing in 24 OMDT cases in their acute, chronic and recovery stages, respectively, and in 24 trichloroethylene-exposed healthy controls. The TCR repertoire diversity, TRBV/TRBD/TRBJ gene usage and combination, frequencies of CDR3 nucleotide (nt) and amino acid (aa) sequences in the cases in different stages and in the controls were analyzed. TRBV6-4 and TRBV7-9 frequencies significantly differed between the cases and controls (both P < 6.1 × 10-4). TRBV6-4 combination with TRBJ2-1, TRBJ2-2, TRBJ2-3, and TRBJ2-6, and TRBV7-9 combination with TRBJ2-1 were associated with the stage by OMDT severity (all P < 0.001). Ten CDR3-nt and 7 CDR3-aa sequences in TRBV7-9-TRBJ2-1 combination and 1 CDR3-nt and 1 CDR3-aa sequences in TRBV6-4-TRBJ2-1 combination were identified as associated with the severity of OMDT (all P < 0.001). We revealed further how TCR repertoires vary with the severity in the development of OMDT, and severity-related TCRs may provide important therapeutic targets for OMDT in clinical practice.

Genomic analysis of mutations in platelet mitochondria in a case of benzene-induced leukaemia: A case report.

INTRODUCTION: As a hematopoietic carcinogen, benzene induces human leukemia through its active metabolites such as benzoquinone, which may cause oxidative damage to cancer-related nuclear genes by increasing reactive oxygen species (ROS). Mitochondrion is the main regulatory organelle of ROS, genetic abnormality of mitochondrion can impede its regulation of ROS, leading to more severe oxidative damage. Mutations have been related to certain types of cancer in several mitochondrial genes, but they have never been completely analyzed genome-wide in leukemia. PATIENT CONCERNS: The patient was a 52-year-old female who had chronic exposure to benzene for several years. Her symptoms mainly included recurrent dizziness, fatigue, and they had lasted for nearly 8 years and exacerbated in recent weeks before diagnosis. DIAGNOSIS: Samples of peripheral blood were taken from the patient using evacuated tubes with EDTA anticoagulant on the second day of her hospitalization. At the same time blood routine and BCR/ABL genes of leukemic phenotype were tested. Platelets were isolated for mitochondrial DNA (mtDNA) extraction. The genetic analysis of ATP synthase Fo subunit 8 (complex V), ATP synthase Fo subunit 6 (complex V), cytochrome c oxidase subunit 1 (complex IV), cytochrome c oxidase subunit 2 (complex IV), cytochrome c oxidase subunit 3, Cytb, NADH dehydrogenase subunit 1 (complex I) (ND) 1, ND2, ND3, ND4, ND5, ND6, 12S-RNA, 16S-RNA, tRNA-Cysteine, A, N, tRNA-Leucine, E, displacement loop in platelet mtDNA were performed. All the detected gene mutations were validated using the conventional Sanger sequencing method. INTERVENTIONS: The patient received imatinib, a small molecule kinase inhibitor, and symptomatic treatments. OUTCOMES: After 3 months treatment her blood routine test indicators were restored to normal. CONCLUSION: A total of 98 mutations were found, and 25 mutations were frame shift. The ND6 gene mutation rate was the highest among all mutation points. Frame shifts were identified in benzene-induced leukemia for the first time. Many mutations in the platelet mitochondrial genome were identified and considered to be potentially pathogenic in the female patient with benzene-induced leukemia. The mutation rate of platelet mitochondrial genome in the benzene-induced leukemia patient is relatively high, and the complete genome analysis is helpful to fully comprehend the disease characteristics.

Computed tomography-based hemodynamic index for aortic dissection.

OBJECTIVE: In this study we aimed to propose a new computed tomography-based hemodynamic indicator to quantify the functional significance of aortic dissection and predict post intervention luminal remodeling. METHODS: Computational hemodynamics and 3D structural analyses were conducted in 51 patients with type B aortic dissection, at initial presentation and at approximately 1 month, 3 months, and 1 year post intervention. A functional index was proposed on the basis of luminal pressure difference. Statistical relationships between the proposed indicator and longitudinal luminal development were analyzed. RESULTS: The computed luminal pressure difference (true lumen pressure minus false lumen pressure) varied overall from positive to negative along the aorta. The first balance position at which the pressure difference equals 0 was proposed as the functional indicator. A more distally located first balance position indicated better functional status. Implantation of stent graft distally shifted this balance position. Patients with the balance position shifted out of the dissected region (43%) presented the highest functional improvement after intervention; whereas those with the balance position shifted to the abdominal region (25%) showed unsatisfactory results. The magnitude of distal shifting of the first balance position at 3 months post intervention was statistically related to the subsequent true lumen expansion and false lumen reduction. CONCLUSIONS: The first balance position of luminal pressure difference quantified the hemodynamic status of the dissected aorta. The magnitude of distal shifting of the balance position after intervention was associated with functional improvement and might be used predict longitudinal aortic remodeling.

A pilot study to assess peripheral blood TCR ß-chain CDR3 repertoire in occupational medicamentosa-like dermatitis due to trichloroethylene using high-throughput sequencing.

We exploratively characterized T cell receptor (TCR) repertoires from occupational medicamentosa-like dermatitis due to trichloroethylene (OMDT) patients to better understand the underlying pathological mechanism. We used a combination of multiplex-PCR, Illumina sequencing and IMGT/High V-QUEST to analyze the characteristics and polymorphisms of the TCR ß-chain complementarity-determining region 3 (CDR3) gene in 10 OMDT cases and 10 trichloroethylene-exposed healthy tolerant controls. Compared with the tolerant controls, OMDT cases showed no significant difference in TCR repertoire diversity including repertoire breadth, highly expanded clone, and CDR3 length distribution. However, we observed several differences in TRBV/TRBJ usage and combination between the two groups, as well as some shared and unique T cell clones in the cases. The pilot study delineated some features of TCR repertoire in OMDT patients that warrant further investigation.

Proteomics analysis identified serum biomarkers for occupational benzene exposure and chronic benzene poisoning.

The study aimed to find novel effect biomarkers for occupational benzene exposure and chronic benzene poisoning (CBP), which might also provide clues to the mechanism of benzene toxicity.We performed a comparative serological proteome analysis between healthy control workers with no benzene exposure, workers with short-term benzene exposure, workers with long-term benzene exposure, and CBP patients using 2D-DIGE and MALDI-TOF-MS. Two of the differentially expressed proteins were then selected to be validated by immune turbidimetric analysis.A total of 10 proteins were found to be significantly altered between different groups. The identified deferentially expressed proteins were classified according to their molecular functions, biological processes, and protein classes. The alteration of 2 important serum proteins among them, apolipoprotein A-I and transthyretin, were further confirmed.Our findings suggest that the identified differential proteins could be used as biomarkers for occupational benzene exposure and CBP, and they may also help elucidate the mechanisms of benzene toxicity.

Joint association of carrying HLA-B*13:01 gene and human herpesvirus-6 with occupational trichloroethylene hypersensitivity syndrome.

PURPOSE: Occupational trichloroethylene hypersensitivity syndrome (OTHS) clinically manifests as generalized severe rash resembling drug-induced hypersensitivity syndrome (DIHS) and afflicts predominantly HLA-B*13:01 gene carriers after their exposure to trichloroethylene. Meanwhile, OTHS may also be associated with human herpesvirus such as herpesvirus-6 (HHV6) and cytomegalovirus (HCMV) reported to participate in the pathology of DIHS. This study explored the association of carrying HHV6 and HCMV, and the joint association of carrying HLA-B*13:01 and HHV6 and HCMV with OTHS. METHODS: We recruited 30 OTHS patients and 40 trichloroethylene-exposed healthy workers as cases and controls, respectively. HLA-B*13:01 was genotyped and HHV6 and HCMV DNA were detected in the DNA extracted from whole-blood sample of each participant with PCR techniques. Positive rates of HLA-B*13:01 gene and HHV6 and HCMV DNA and their association with OTHS were then analyzed. RESULTS: The OTHS cases showed significantly higher positive rates of HLA-B*13:01 gene and HHV6 DNA, but not HCMV DNA, than the controls (83.3% vs. 25.0% and 56.7% vs. 10.0%, respectively, both P < 0.001). Positive rate of HHV6 DNA was significantly higher in HLA-B*13:01 carriers than in non-carriers in the cases (68.0% vs. 0, P = 0.005), but not in the controls. Carrying HLA-B*13:01 and HHV6 had an interactive effect on OTHS (OR = 91.80, P < 0.001). CONCLUSIONS: Carrying HLA-B*13:01 and HHV6 may be associated with OTHS; furthermore, carrying HLA-B*13:01 and HHV6 may be jointly associated with OTHS.

Proteome analysis of the potential serum biomarkers for chronic benzene poisoning.

The aim of our study is to seek novel specific biomarkers which could provide clues to the mechanism of chronic benzene poisoning (CBP) and might also be used as specific markers for early detection and diagnosis. In this study, a comparative serological proteome analysis between normal controls and CBP patients at three different levels of poisoning were performed via a 2D-DIGE and MALDI-TOF-MS. As the result a total of 10 proteins were found significantly altered between the normal and the mild, moderate and severe poisoning. The identified differentially expressed proteins were classified according to their molecular functions, biological processes, and protein classes, and three important serum proteins among them, apolipoproteinA-1, alpha-1-antitrypsin and complement C3, were further confirmed by immune turbidimetric analysis for their significant up-regulation in the CBP patients. Our findings suggest that these differential proteins may help elucidate the mechanism of CBP and provide potential biomarkers for diagnosis.

Introduction of a Crystalline, Shelf-Stable Reagent for the Synthesis of Sulfur(VI) Fluorides.

The design, synthesis, and application of [4-(acetylamino)phenyl]imidodisulfuryl difluoride (AISF), a shelf-stable, crystalline reagent for the synthesis of sulfur(VI) fluorides, is described. The utility of AISF is demonstrated in the synthesis of a diverse array of aryl fluorosulfates and sulfamoyl fluorides under mild conditions. Additionally, a single-step preparation of AISF was developed that installed the bis(fluorosulfonyl)imide group on acetanilide utilizing an oxidative C-H functionalization protocol.

Platelet mitochondrial cytochrome c oxidase subunit I variants with benzene poisoning.

BACKGROUND: Chronic benzene poisoning (CBP) is one of the most common chronic occupational poisoning which is associated with mitochondrial oxidative damage, and lead to increasing risk of respiratory diseases such as lung cancer. Cytochrome c oxidase subunit I (COI) is one of the key enzymes that plays an important role in oxidative damage regulation by eliminating reactive oxygen species (ROS). This study investigated the relationship between COI gene variants and the risk of CBP. METHODS: We investigated 44 non-smoking patients who were diagnosed with CBP and 57 unexposed non-smoking controls between the ages of 23 and 60 with their background including work experience, lifestyle and medical records. Peripheral blood (2 mL) was collected in EDTA tube and the platelet was purified from the collected blood. Variants of COI were analyzed by PCR and sequencing. Multivariable linear regression analysis was used to assess the association between CBP exposure and variants. RESULTS: The frequency of the mitochondrial DNA (mtDNA) T6392C, G6962 variants were 10, 7 out of 44 CBP group patients, which was higher when compared to that of 4, 2 out of 57 in the control group, suggesting these variants could be the risk factor for CBP [odds ratio (OR) 3.897, 95% CI: 1.131-13.425, P=0.023; OR 5.203, 95% CI: 1.024-26.442, P=0.034]. There was a significant difference (P<0.05) of COI variants, including T6392C and G6962A, in platelet mtDNA between patients and control samples. Meanwhile, the frequency of the mtDNA C7196A variant were 13 out of 44 control group, which was higher when compared to that of 2 of 57 in the CBP group patients, suggesting this variant could be the protective factor for CBP (OR 6.205, 95% CI: 1.320-29.162, P=0.010). CONCLUSIONS: Our study suggests that T6392C, G6962A and C7196A from platelet mtDNA variants play a significant role in the etiology of CBP and facilitate the development of molecular biomarker on CBP diagnosis.

Intron polymorphism in MYL1 gene is associated with individual cardiac trainability to endurance training in human myocardium.

BACKGROUND: The aim of this study was to examine the association between polymorphism of the intron MYL1 and the genetic predisposition or trainability to endurance exercise in human myocardium. METHODS: The research consisted of two studies. The first study examined distributional differences in genotypes and alleles of MYL1 in endurance athletes (n=31) and untrained adults (N.=206). The second study examined association between the distributional differences in the genotypes and cardiac ability or trainability. Ninety-nine previously untrained men participated in an 18-week endurance training program with intensity between 95% and 105% of the ventilatory threshold. Cardiac output and cardiac index were assessed by echocardiography before and after training. RESULTS: The first study demonstrated that the frequency of the genotype AA at RS1472955 was higher (0.48 vs. 0.30), and that of GG was lower (0.00 vs. 0.16) in the athlete group than that in the Control (all P<0.05, χ2 Test). The second study showed that:1) GG carriers had a lower training responsiveness than AA and GA carriers (P<0.05, z test);2) a decrease of cardiac output (10580±1461 to 10060±1421 mL/min, P<0.05, one-way ANOVA) and cardiac index (6511.8±962.3 to 6110.3±817.1 mL/m2, P<0.05) only occurred in AA carriers during low-intensity exercise (50W);3) the genotypes were significantly correlated to the magnitude of change caused by the endurance training in cardiac output (r=0.215, P<0.05, Pearson correlation) and cardiac index (r=0.221, P<0.05) in low-intensity exercise. CONCLUSIONS: The findings suggested that the polymorphism of intron MYL1 was associated with endurance performance, specifically in endurance trainability, but not genetic predisposition, in human adults.