Impact of short-term exposure to ambient air pollution on osteoarthritis: a multi-city time-series analysis in Central-Eastern China.

Osteoarthritis (OA) is a threat to public health issue with high morbidity and disability worldwide. However, unequivocal evidence on the link between air pollution and OA remains little, especially in multi-study sites. This study aimed to explore the relationship between short-term exposure to main air pollutants and the risk of OA outpatient visits in multi-study sites. A multi-city time-series analysis was performed in Anhui Province, Central-Eastern China from January 1, 2015, to December 31, 2020. We used a two-stage analysis to assess the association between air pollution and daily OA outpatient visits. City-specific associations were estimated with a distributed lag nonlinear model and then pooled by random-effects or fixed-effects meta-analysis. Stratified analysis was conducted by gender, age, and season. Additionally, the disease burden of OA attributable to air pollutant exposure was calculated. A total of 35,700 OA outpatients were included during the study period. The pooled exposure-response curves showed that PM2.5 and PM10 concentrations below the reference values could increase the risk of OA outpatient visits. Concretely, per 10 ug/m3 increase in PM2.5 concentration was linked to an elevated risk of OA outpatient visits at lag 2 and lag 3 days, where the effect reached its highest value on lag 2 day (RR: 1.023, 95%CI: 1.005-1.041). We observed that a 10 µg/m3 increase in PM10 was positively correlated with OA outpatient visits (lag2 day, RR: 1.011, 95%CI: 1.001-1.025). Nevertheless, no statistical significance was discovered in gaseous pollutants (including SO2, O3, and CO). Additionally, a significant difference was found between cold and warm seasons, but not between different genders or age groups. This study reveals that particulate matter is an important factor for the onset of OA in Anhui Province, China. However, there is no evidence of a relationship of gaseous pollutants with OA in this area.

Association between air pollution exposure and outpatient visits for dermatomyositis in a humid subtropical region of China: a time-series study.

In recent years, a growing number of studies have found that air pollution plays critical roles in the onset and development of autoimmune diseases, but few studies have shown an association between air pollutants and dermatomyositis (DM). We sought to investigate the relationship between short-term exposure to air pollution and outpatient visits for DM and to quantify the burden of DM due to exposure to air pollutants in Hefei, China. Daily records of hospital outpatient visits for DM, air pollutants and meteorological factors data in Hefei from January 1, 2018 to December 31, 2021 were obtained. We used a distributed lag non-linear model (DLNM) in conjunction with a generalized linear model (GLM) to explore the association between air pollution and outpatient visits for DM, and conducted stratified analyses by gender, age and season. Moreover, we used attributable fraction (AF) and attributable number (AN) to reflect the burden of disease. A total of 4028 DM clinic visits were recorded during this period. High concentration nitrogen dioxide (NO2) exposure was associated with increased risk of DM outpatient visits (relative risk (RR) 1.063, 95% confidence interval (CI) 1.015-1.114, lag 0-5). Intriguingly, exposure to high concentration ozone (O3) was associated with reduced risk of outpatient visits for DM (RR 0.974, 95% CI 0. 0.954-0.993, lag 0-6). The results of stratified analyses showed that the cold season (vs. warm season) were more susceptible to outpatient visits for DM associated with NO2 and O3 exposure. In addition, we observed that an increased risk of DM outpatient visits was attributable to high concentration NO2 exposure, while high concentration O3 exposure was associated with a decreased risk of DM outpatient visits. This study provided a scientific basis for the etiology research and health protection of DM.

Effectiveness of chatbots on COVID vaccine confidence and acceptance in Thailand, Hong Kong, and Singapore.

Chatbots have become an increasingly popular tool in the field of health services and communications. Despite chatbots' significance amid the COVID-19 pandemic, few studies have performed a rigorous evaluation of the effectiveness of chatbots in improving vaccine confidence and acceptance. In Thailand, Hong Kong, and Singapore, from February 11th to June 30th, 2022, we conducted multisite randomised controlled trials (RCT) on 2,045 adult guardians of children and seniors who were unvaccinated or had delayed vaccinations. After a week of using COVID-19 vaccine chatbots, the differences in vaccine confidence and acceptance were compared between the intervention and control groups. Compared to non-users, fewer chatbot users reported decreased confidence in vaccine effectiveness in the Thailand child group [Intervention: 4.3 % vs. Control: 17%, P = 0.023]. However, more chatbot users reported decreased vaccine acceptance [26% vs. 12%, P = 0.028] in Hong Kong child group and decreased vaccine confidence in safety [29% vs. 10%, P = 0.041] in Singapore child group. There was no statistically significant change in vaccine confidence or acceptance in the Hong Kong senior group. Employing the RE-AIM framework, process evaluation indicated strong acceptance and implementation support for vaccine chatbots from stakeholders, with high levels of sustainability and scalability. This multisite, parallel RCT study on vaccine chatbots found mixed success in improving vaccine confidence and acceptance among unvaccinated Asian subpopulations. Further studies that link chatbot usage and real-world vaccine uptake are needed to augment evidence for employing vaccine chatbots to advance vaccine confidence and acceptance.

Spatial Proteomics Analysis of Soft and Stiff Regions in Human Acute Arterial Thrombus.

BACKGROUND: The soft regions of a thrombus tend to be more susceptible to r-tPA (recombinant tissue-type plasminogen activator)-mediated thrombolysis and are more easily removed by mechanical thrombectomy than the stiff counterpart. This study aimed to understand the molecular pathological differences between the soft and stiff regions of human arterial thrombus. METHODS: We developed a spatial proteomic workflow combining proteomics with laser-captured microdissection to analyze human arterial thrombi with Masson trichrome staining to identify stiff and soft regions from 2 independent cohorts of patients with acute myocardial or cerebral infarction. Dysregulated proteins in a C57BL6/J male mouse model of arterial thrombosis were identified by pathway enrichment and pairwise analyses from the common gene ontology enrichment and dysregulated proteins between carotid and coronary arterial thrombi, and validated by immunohistochemistry. RESULTS: Spatial proteomics of the coronary arterial thrombi collected from 7 patients with myocardial infarct revealed 7 common dysregulated proteins in 2 cohorts of patients, and upregulation of TGF-ß1 (transforming growth factor ß1) was the most prominent fibrosis-related protein. Inhibition of TGF-ß1 resulted in delayed arterial thrombosis and accelerated blood flow restoration in mouse model. We further expanded the spatial proteomic workflow to the carotid artery thrombi collected from 11 patients with cerebral infarction. Pairwise proteomic analysis of stiff and soft regions between carotid and coronary arterial thrombi further revealed 5 common gene ontology clusters including features of platelet activation, and a common dysregulated protein COL1A1 (collagen type 1 alpha 1) that was reported to be influenced by TGF-ß1. We also verified the expression in human and mice carotid arterial thrombi. CONCLUSIONS: This study demonstrates the spatially distinct composition of proteins in the stiff and soft regions of human arterial thrombi, and suggests that TGF-ß1 is a key therapeutic target for promoting arterial thrombolysis.

Sintilimab versus docetaxel as second-line treatment in advanced or metastatic squamous non-small-cell lung cancer: an open-label, randomized controlled phase 3 trial (ORIENT-3).

BACKGROUND: Treatment options for Chinese patients with locally advanced or metastatic squamous-cell non-small-cell lung cancer (sqNSCLC) after failure of first-line chemotherapy are limited. This study (ORIENT-3) aimed to evaluate the efficacy and safety of sintilimab versus docetaxel as second-line treatment in patients with locally advanced or metastatic sqNSCLC. METHODS: ORIENT-3 was an open-label, multicenter, randomized controlled phase 3 trial that recruited patients with stage IIIB/IIIC/IV sqNSCLC after failure with first-line platinum-based chemotherapy. Patients were randomized in a 1:1 ratio to receive either 200 mg of sintilimab or 75 mg/m2 of docetaxel intravenously every 3 weeks, stratified by the Eastern Cooperative Oncology Group performance status. The primary endpoint was overall survival (OS) in the full analysis set (FAS). Secondary endpoints included progression-free survival (PFS), objective response rate (ORR), disease control rate (DCR), duration of response (DoR) and safety. RESULTS: Between August 25, 2017, and November 7, 2018, 290 patients were randomized. For FAS, 10 patients from the docetaxel arm were excluded. The median OS was 11.79 (n = 145; 95% confidence interval [CI], 10.28-15.57) months with sintilimab versus 8.25 (n = 135; 95% CI, 6.47-9.82) months with docetaxel (hazard ratio [HR]: 0.74; 95% CI, 0.56-0.96; P = 0.025). Sintilimab treatment significantly prolonged PFS (median 4.30 vs. 2.79 months; HR: 0.52; 95% CI, 0.39-0.68; P < 0.001) and showed higher ORR (25.50% vs. 2.20%, P < 0.001) and DCR (65.50% vs. 37.80%, P < 0.001) than the docetaxel arm. The median DoR was 12.45 (95% CI, 4.86-25.33) months in the sintilimab arm and 4.14 (95% CI, 1.41-7.23) months in the docetaxel arm (P = 0.045). Treatment-related adverse events of grade ≥ 3 were reported in 26 (18.1%) patients in the sintilimab arm and 47 (36.2%) patients in the docetaxel arm. Exploratory biomarker analysis showed potential predictive values of expression levels of two transcription factors, including OVOL2 (HR: 0.35; P < 0.001) and CTCF (HR: 3.50; P < 0.001)，for sintilimab treatment. CONCLUSIONS: Compared with docetaxel, sintilimab significantly improved the OS, PFS, and ORR of Chinese patients with previously treated locally advanced or metastatic sqNSCLC.

The effect of air pollution exposure on risk of outpatient visits for Sjogren's syndrome: A time-series study.

BACKGROUND: Emerging evidence showed that air pollutants are associated with development and recurrence of autoimmune disorders, but there is scarce evidence regarding the relationship between air pollutants and Sjogren's syndrome (SS). We sought to investigate whether air pollutants affect the risk of outpatient visits for SS and to quantify the burden of SS visits attributable to air pollution exposure in Hefei, China. METHODS: Daily data on outpatient visits for SS, air pollutants and meteorological data in Hefei, China, from January 1, 2015 to December 31, 2020 were obtained. A distributed lag non-linear model in conjunction with a generalized linear model were employed to assess the relationship between air pollution and SS outpatient visits. Stratified analyses were further performed by gender, age and season. Attributable fraction (AF) and attributable number (AN) were used to reflect disease burden. RESULTS: There were 4501 records of outpatient visits for SS. Exposure to PM2.5 was associated with increased risk of SS outpatient visits (relative risk (RR) = 1.218, 95% confidence interval (CI): 1.017-1.458, lag 0-14 day). An increase of 24 µg/m3 (interquartile range) in NO2 concentration was associated with 26.3% increase in the risk of SS outpatient visits (RR = 1.263, 95%CI: 1.105-1.445, lag 0-10 day). In contrast, exposure to O3 was associated with decreased risk of SS outpatient visits (RR = 0.692, 95%CI: 0.510-0.939, per 63 µg/m3 in O3 exposure, lag 0-27 day). Stratified analyses showed that females (vs. males) was more vulnerable to SS outpatient visits associated with NO2 and O3 exposure. SS patients aged ≥65 years (vs. aged <65 years) were susceptible to PM2.5 exposure. Exposure to PM2.5 or NO2 in the cold season was associated with higher risk of SS outpatient visits than that in the warm season. In addition, the AN (232, 95%CI: 119, 324) and AF (5.16%, 95%CI: 2.55%, 7.21%) of NO2 exposure were higher than those of PM2.5 exposure. CONCLUSION: PM2.5 and NO2 exposure are associated with increased risk of SS outpatient visits, while O3 exposure appears to be associated with decreased risk of SS outpatient visits. The effect of air pollutants exposure on risk of SS outpatients can be modified by age, gender and season. The burden of SS outpatient visits attributable to NO2 exposure is higher than those attributable to PM2.5 exposure.

Environmental factors and risk of gout.

Gout is a chronic disease with inflammatory arthritis caused by monosodium urate (MSU) crystals deposition, an elevated serum urate level (hyperuricaemia) is the critical factor leading to MSU crystals deposition and promoting the progression of gout. The onset and development of gout is generally the result of multiple factors, such as diet, heredity and environmental factors. Although genetics and diet are thought to play as major factors, a growing body of research evidence has highlighted that environmental factors also play a significant role in the onset and exacerbation of gout. Recent studies have shown that air pollutants such as particulate matter, sulfur dioxide (SO2) and carbon monoxide (CO) may increase the risk of hospitalizations for gout, and that the changes in temperature and humidity may affect uric acid (UA) levels. There is also seasonal trend in gout. It has been demonstrated that environmental factors may induce or accelerate the production and release of pro-inflammatory mediators, causing an unbalance oxidative stress and systemic inflammation, and then participating in the overall process or a certain link of gout. Moreover, several environmental factors have shown the ability to induce the production urate and regulate the innate immune pathways, involving in the pathogenesis of gout. Nevertheless, the role of environmental factors in the etiology of gout remains unclear. In this review, we summarized the recent literatures and aimed to discuss the relationship between environmental factors (such as microclimate, season, ambient/indoor air pollution and extreme weather) and gout. We further discussed the inflammatory mechanisms of environmental factors and gout and the comprehensive effects of environmental factors on gout. We also made a prospect of the management and treatment of gout, with special consideration to environmental factors associated with gout.

Therapeutic Potential of Galectin-1 and Galectin-3 in Autoimmune Diseases.

Galectins are a highly conserved protein family that binds to ß-galactosides. Different members of this family play a variety of biological functions in physiological and pathological processes such as angiogenesis, regulation of immune cell activity, and cell adhesion. Galectins are widely distributed and play a vital role both inside and outside cells. They can regulate homeostasis and immune function in vivo through mechanisms such as apoptosis. Recent studies have indicated that galectins exhibit pleiotropic roles in inflammation. Furthermore, emerging studies have found that galectins are involved in the occurrence and development of autoimmune diseases such as systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), type 1 diabetes (T1D), and systemic sclerosis (SSc) by regulating cell adhesion, apoptosis, and other mechanisms. This review will briefly discuss the biological characteristics of the two most widely expressed and extensively explored members of the galectin family, galectin-1 and galectin-3, as well as their pathogenetic and therapeutic roles in autoimmune diseases. This information may provide a novel and promising therapeutic target for autoimmune diseases.

Association between non-optimal temperature and hospitalizations for gout in Anqing, China: a time-series analysis.

Previous studies have found that non-optimal temperature influences the development of gout, but the results have been inconsistent. The present study aimed to explore the effects of high temperature and high temperature variation on hospitalizations for gout in Anqing, China. We collected daily data on air pollutants, meteorological factors, and hospitalizations for gout between 1January 2016 and 31 December 2020 in Anqing City, China. We used Poisson generalized linear regression model and a distributed lag non-linear model (DLNM) to explore the relationship of high temperature, diurnal temperature range (DTR), and temperature change between neighboring days (TCN) with hospitalizations for gout. Stratified analysis by gender (male, female) and age (<65 years, ≥65 years) was conducted. Hospitalizations for gout attributed to high temperature, high DTR, and high TCN were also quantified. A total of 8675 hospitalized patients with gout were reported during the study period. We observed that exposure to high temperature was linked with an increased risk of hospitalizations for gout (lag 0, RR: 1.081, 95% confidence interval (CI): 1.011, 1.155). Exposure to high DTR was also associated with increased risk of hospitalizations for gout (lag9, RR: 1.017, 95% CI: 1.001,1.035). A large drop in temperature between neighboring days was associated an increased risk of hospitalizations for gout (lag 0-2 days, RR: 1.234, 95% CI: 1.017, 1.493). Stratified analysis results revealed that older adults and men were more sensitive to high-level DTR exposure than their counterparts. Nearly 15% of hospitalizations for gout could be attributable to high temperature (attributable fraction: 14.93%, 95% CI: 5.99%, 22.11%). This study suggests that high temperature and high temperature variation may trigger hospitalizations for gout, indicating that patients with gout need to take proactive actions in the face of days with non-optimal temperature.

The Relationship Between Ambient Air Pollution and Hospitalizations for Gout in a Humid Subtropical Region of China.

OBJECTIVE: Gout is a chronic disease caused by the deposition of sodium urate (MSU) crystals. Available data on the association between environmental hazards and gout are scarce. The present study was present to investigate the relationship between short-term exposure to air pollution and hospitalizations for acute gout from 2016 to 2020 in Anqing City, China. METHODS: Daily records of hospital admissions for acute gout in Anqing from 1 January 2016 to 31 December 2020 were retrieved from the tertiary first-class hospitals in Anqing. Air pollutants and meteorological data were obtained from the China Environmental Monitoring Station and China Meteorological Data Service Center respectively. We used a time-series analysis to explore the association between air pollution (NO2, O3, and CO) and hospitalizations for acute gout, and conducted stratified analyses by gender, age and season. RESULTS: We observed an association between NO2 and hospitalizations for gout (lag 0, relative risk (RR):1.022, 95% confidence interval (CI):1.004-1.041). For every 1 mg/m3 increase in CO concentration, hospitalizations for gout increased by 3.9% (lag 11 days, RR=1.039, 95% CI: 1.004-1.076). Intriguingly, there was a negative association between O3 and hospitalizations for gout (lag0, RR=0.986, 95% CI: 0.976-0.996). Stratified analyses showed that exposure to high levels of NO2 was considered to be more vulnerable to gout in cold season. CONCLUSION: Our study showed that short-term exposure to NO2 and CO has a significant effect on hospitalizations for acute gout.

Causal Effects of Gut Microbiome on Systemic Lupus Erythematosus: A Two-Sample Mendelian Randomization Study.

The observational association between gut microbiome and systemic lupus erythematosus (SLE) has been well documented. However, whether the association is causal remains unclear. The present study used publicly available genome-wide association study (GWAS) summary data to perform two-sample Mendelian randomization (MR), aiming to examine the causal links between gut microbiome and SLE. Two sets of MR analyses were conducted. A group of single nucleotide polymorphisms (SNPs) that less than the genome-wide statistical significance threshold (5 × 10-8) served as instrumental variables. To obtain a comprehensive conclusion, the other group where SNPs were smaller than the locus-wide significance level (1 × 10-5) were selected as instrumental variables. Based on the locus-wide significance level, the results indicated that there were causal effects of gut microbiome components on SLE risk. The inverse variance weighted (IVW) method suggested that Bacilli and Lactobacillales were positively correlated with the risk of SLE and Bacillales, Coprobacter and Lachnospira were negatively correlated with SLE risk. The results of weighted median method supported that Bacilli, Lactobacillales, and Eggerthella were risk factors for SLE and Bacillales and Coprobacter served as protective factors for SLE. The estimates of MR Egger suggested that genetically predicted Ruminiclostridium6 was negatively associated with SLE. Based on the genome-wide statistical significance threshold, the results showed that Actinobacteria might reduce the SLE risk. However, Mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) detected significant horizontal pleiotropy between the instrumental variables of Ruminiclostridium6 and outcome. This study support that there are beneficial or detrimental causal effects of gut microbiome components on SLE risk.

An explainable supervised machine learning predictor of acute kidney injury after adult deceased donor liver transplantation.

BACKGROUND: Early prediction of acute kidney injury (AKI) after liver transplantation (LT) facilitates timely recognition and intervention. We aimed to build a risk predictor of post-LT AKI via supervised machine learning and visualize the mechanism driving within to assist clinical decision-making. METHODS: Data of 894 cases that underwent liver transplantation from January 2015 to September 2019 were collected, covering demographics, donor characteristics, etiology, peri-operative laboratory results, co-morbidities and medications. The primary outcome was new-onset AKI after LT according to Kidney Disease Improving Global Outcomes guidelines. Predicting performance of five classifiers including logistic regression, support vector machine, random forest, gradient boosting machine (GBM) and adaptive boosting were respectively evaluated by the area under the receiver-operating characteristic curve (AUC), accuracy, F1-score, sensitivity and specificity. Model with the best performance was validated in an independent dataset involving 195 adult LT cases from October 2019 to March 2021. SHapley Additive exPlanations (SHAP) method was applied to evaluate feature importance and explain the predictions made by ML algorithms. RESULTS: 430 AKI cases (55.1%) were diagnosed out of 780 included cases. The GBM model achieved the highest AUC (0.76, CI 0.70 to 0.82), F1-score (0.73, CI 0.66 to 0.79) and sensitivity (0.74, CI 0.66 to 0.8) in the internal validation set, and a comparable AUC (0.75, CI 0.67 to 0.81) in the external validation set. High preoperative indirect bilirubin, low intraoperative urine output, long anesthesia time, low preoperative platelets, and graft steatosis graded NASH CRN 1 and above were revealed by SHAP method the top 5 important variables contributing to the diagnosis of post-LT AKI made by GBM model. CONCLUSIONS: Our GBM-based predictor of post-LT AKI provides a highly interoperable tool across institutions to assist decision-making after LT.

Prognostic value of lymphocyte-to-monocyte ratio and histone methyltransferase G9a histone methyltransferase in patients with double expression lymphoma: A retrospective observational study.

ABSTRACT: In patients with diffuse large B-cell lymphoma, MYC combined with Bcl2 and/or Bcl6-based protein expression is called double expression lymphoma (DEL). R-DA-EPOCH program chemotherapy is typically recommended because these patients often have a poor prognosis. Although numerous factors affect survival of patients with DEL, the roles of the tumor biomarker histone methyltransferase G9a (G9a) and the lymphocyte-to-monocyte ratio (LMR) are unknown.We performed a retrospective analysis of data from 51 patients. These patients were newly diagnosed with DEL and treated with R-DA-EPOCH at Taizhou People' s Hospital and Northern Jiangsu People's Hospital between June 2014 and December 2019. Receiver operator characteristic curve results were used to calculate the LMR cutoff value. We used an immunohistochemical analysis to examine G9a expression in DEL tissues. The Kaplan-Meier method was used to determine progression-free survival (PFS) and overall survival (OS) characteristics. Cox proportional-hazards models were constructed for univariate and multivariate analyses to examine the prognostic values of LMRs and G9a in patients with DEL.The cutoff value for LMR was 2.18. The 5-year PFS rate was 35.3%, and the 5-year OS rate was 39.2%. Patients with DEL with lower LMRs and who were G9a-positive predicted inferior PFS and OS. Univariate analysis revealed that patients with elevated LDH levels, high National Comprehensive Cancer Network International Prognostic Index (NCCN-IPI) scores, LMRs ≤2.18, and G9a-positive results had relatively poorer PFS and OS. The multivariate analysis revealed that LMRs ≤2.18 and a G9a-positive result were independent prognostic factors for PFS and OS in patients with DEL treated with R-DA-EPOCH.The study results suggested that peripheral blood LMRs were an important marker for evaluation of prognosis in patients with DEL. High expression of G9a was associated with worse outcomes, indicating that G9a may serve as a prognostic biomarker for patients with DEL who undergo R-DA-EPOCH program chemotherapy.

High expression of miR-374a-5p inhibits the proliferation and promotes differentiation of Rencell VM cells by targeting Hes1.

The proliferation and differentiation of NSCs are regulated by miRNAs. This study investigated the role of miR-374a-5p in the proliferation and differentiation of ReNcell VM cells. ReNcell VM cells were transfected with miR-374a-5p mimic, miR-374a-5p inhibitor and Hes1, respectively. Cell proliferation was detected by clone formation assay. Target gene for miR-374a-5p was predicted by TargetScan and confirmed by dual-luciferase reporter. Quantitative real-time polymerase chain reaction (qRT-PCR) and Western blot were performed to detect the expressions of relative genes. After culturing the cells in differentiation medium, the ReNcell VM cells differentiated into ßIII-tubulin (Tuj1)-positive neurons and GFAP-positive astrocytes. The miR-374a-5p expression was increased as the cells continued to differentiate. Hes1, which was predicted to be the target gene for miR-374a-5p, was low-expressed during cell differentiation. The miR-374a-5p mimic decreased cell clones, inhibited the expressions of ki-67 and Nestin, but increased those of Tuj1 and GFAP. However, miR-374a-5p inhibitor produced the opposite effects to miR-374a-5p mimic. Hes1 increased the expressions of ki-67 and Nestin, but decreased those of Tuj1 and GFAP, moreover, Hes1 reversed the role of miR-374a-5p mimic. MiR-374a-5p inhibited the proliferation of Rencell VM cells and promoted the differentiation of NSCs by reducing the Hes1 expression.

Safety and efficacy of low-dose aspirin in ischemic stroke patients with different G6PD conditions.

BACKGROUND AND PURPOSE: Aspirin is the first recommended antiplatelet agent to prevention secondary stroke, but its safety and efficacy in stroke patients with glucose-6-phosphate dehydrogenase deficiency remain unclear. We sought to evaluate its safety and efficacy in ischemic stroke patients with and without glucose-6-phosphate dehydrogenase deficiency. METHODS: Patients with ischemic stroke receiving aspirin (100 mg/day) for three months were recruited for a multicenter, prospective, cohort study. Blood glucose-6-phosphate dehydrogenase activity was examined after stroke. Safety outcomes including acute hemolysis, moderate-to-severe bleeding, and death (vascular, all-cause), and efficacy outcome indicated as stroke recurrence were evaluated at three months. Risk factors associated with moderate-to-severe bleeding and all-cause death were determined using multivariate or Cox regression analysis. RESULTS: Among the included 1121 patients, 81 of 130 glucose-6-phosphate dehydrogenase deficient and 576 of 991 glucose-6-phosphate dehydrogenase normal patients received aspirin for three months. Acute hemolysis was observed in one of the glucose-6-phosphate dehydrogenase deficient and in none of the glucose-6-phosphate dehydrogenase normal patients (p = 0.876). The rates of moderate-to-severe bleeding were 2.5% and 0.3% (p = 0.045), and the percentages of all-cause death were 6.2% and 1.4% (p = 0.008) in the glucose-6-phosphate dehydrogenase deficient and glucose-6-phosphate dehydrogenase normal patients. Stroke recurrence rate was similar in the two groups (2.5% vs. 1.7%; p = 0.608). Glucose-6-phosphate dehydrogenase deficiency was significantly associated with increased risk of moderate-to-severe bleeding (adjust p = 0.048) and all-cause death during aspirin use (adjust p = 0.008). CONCLUSIONS: Long-term low-dose aspirin therapy might relate to worse safety outcomes in patients with glucose-6-phosphate dehydrogenase deficiency and large clinical trials are needed to further confirm these findings.

CDH2/N-cadherin and early diagnosis of invasion in patients with ductal carcinoma in situ.

PURPOSE: This proof-of-concept study investigates gene expression in core needle biopsies (CNB) to predict whether individuals diagnosed with ductal carcinoma in situ (DCIS) on CNB were affected by invasion at the time of diagnosis. METHODS: Using a QuantiGene Plex 2.0 assay, 14 gene expression profiling was performed in 303 breast tissue samples. Preoperative diagnostic performance of a gene was measured by area under receiver-operating characteristic curve (AUC) with 95% confidence interval (CI). The gene mRNA positivity cutoff was computed using Gaussian mixture model (GMM); protein expression was measured by immunohistochemistry; DNA methylation was evaluated by targeted bisulfite sequencing. RESULTS: mRNA from 69% (34/49) mammoplasties, 72% (75/104) CNB DCIS, and 89% (133/150) invasive breast cancers (IBC) were analyzed. Based on pre-and post-surgery DCIS chart reviews, 21 cases were categorized as DCIS synchronous with invasion and 54 DCIS were pure DCIS without pathologic evidence of invasive disease. The ectopic expression of neuronal cadherin CDH2 was probable in 0% mammoplasties, 6% pure DCIS, 29% synchronous DCIS, and 26% IBC. The CDH2 mRNA positivity in preoperative biopsies showing pure DCIS was predictive of a final diagnosis of invasion (AUC = 0.67; 95% CI 0.53-0.80; P = 0.029). Site-specific methylation of the CDH2 promoter (AUC = 0.76; 95% CI 0.54-0.97; P = 0.04) and measurements of N-cadherin, a pro-invasive cell-cell adhesion receptor encoded by CDH2 (AUC = 0.8; 95% CI 0.66-0.99; P < 0.005) had a discriminating power allowing for discernment of CDH2-positive biopsy. CONCLUSIONS: Evidence of CDH2/N-cadherin expression, predictive of invasion synchronous with DCIS, may help to clarify a diagnosis and direct the course of therapy earlier in a patient's care.

[Relation of miR-140 Expression Level with Therapeutic Effect of Decitabine and Its Mechanism].

OBJECTIVE: To investigate the relationship of miR-140 expression level with the therapeutic effect of decitabine, and to explore whether the molecular mechanism is dependent on the regulation of TLR4 expression. METHODS: Forty-seven patients with acute myeloid leukaemia (AML) were enrolled in our study and divided into decitabine combination treatment group (22 cases) and traditional treatment group (25 cases). The clinical efficacy was compared between these two groups. Real-time PCR was used to determine the plasma level of miR-140 in AML patients. Decitabine, miR-140 mimic and miR140 inhibitor were used to treat AML HL-60 cells in vitro, the real-time PCR and Western blot were used to detect the expressions of miR-140, TLR4 and NF-κB at both mRNA and protein levels. RESULTS: Compared with traditional treatment group, decitabine combination treatment group showed more significant clinical efficacy. Plasma miR-140 level in both 2 treatment groups both decreased, but the plasma miR-140 level was higher in decitabine combination treatment group as compared with traditional treatment group. Experiment in vitro showed that 0.3 µmol/L decitabine significantly inhibited the HL-60 cell proliferation accompanied by up-regulation of miR-140 expression and down-regulation of expression of TLR4 and NF-κB. These effects induced by decitabine were partly reversed by pretreating the cells with 200 nmol/L miR-140 inhibitor. CONCLUSION: Decitabine-induced up-regulation of miR-140 expression may be related with its chemotherapeutic effects, and miR-140/TLR4/NF-κB pathway may partly mediate the pharmacologic action of decitabine.

Gaussian Mixture Models for Probabilistic Classification of Breast Cancer.

In the era of omics-driven research, it remains a common dilemma to stratify individual patients based on the molecular characteristics of their tumors. To improve molecular stratification of patients with breast cancer, we developed the Gaussian mixture model (GMM)-based classifier. This probabilistic classifier was built on mRNA expression data from more than 300 clinical samples of breast cancer and healthy tissue and was validated on datasets of ESR1, PGR, and ERBB2, which encode standard clinical markers and therapeutic targets. To demonstrate how a GMM approach could be exploited for multiclass classification using data from a candidate marker, we analyzed the insulin-like growth factor I receptor (IGF1R), a promising target, but a marker of uncertain importance in breast cancer. The GMM defined subclasses with downregulated (40%), unchanged (39%), upregulated (19%), and overexpressed (2%) IGF1R levels; inter- and intrapatient analyses of IGF1R transcript and protein levels supported these predictions. Overexpressed IGF1R was observed in a small percentage of tumors. Samples with unchanged and upregulated IGF1R were differentiated tumors, and downregulation of IGF1R correlated with poorly differentiated, high-risk hormone receptor-negative and HER2-positive tumors. A similar correlation was found in the independent cohort of carcinoma in situ, suggesting that loss or low expression of IGF1R is a marker of aggressiveness in subsets of preinvasive and invasive breast cancer. These results demonstrate the importance of probabilistic modeling that delves deeper into molecular data and aims to improve diagnostic classification, prognostic assessment, and treatment selection. SIGNIFICANCE: A GMM classifier demonstrates potential use for clinical validation of markers and determination of target populations, particularly when availability of specimens for marker development is low.

The association between vascular endothelial growth factor gene polymorphisms and stroke: A PRISMA-compliant meta-analysis.

BACKGROUND: Numerous studies showed that vascular endothelial growth factor (VEGF) gene polymorphisms were linked with the regularity of stroke, but the results remained controversial. The aim of this meta-analysis was to determine the associations between VEGF gene polymorphisms and the risk of stroke. METHODS: A systematic literature search of PubMed, Embase, Wed of Science, The Cochrane Library, Elsevier, China National Knowledge Infrastructure, China Biology Medicine disc, WanFang Data, VIP Database for Chinese Technical Periodicals, and Science paper Online was conducted. Two authors independently assessed trial quality and extracted data. The pooled odds ratio (OR) with 95% confidence interval (CI) was used to assess the strength of associations. Begger funnel plot and Egger test were used to estimate the publication bias of included studies. Heterogeneity assumption was assessed by Cochran Chi-squared-based Q-statistic test and I test. RESULTS: Thirteen publications including 23 trails with a total of 3794 stroke patients and 3094 control subjects were enrolled. About 3747 cases and 2868 controls for +936C/T, 2134 cases and 1424 controls for -2578C/A, and 2187 cases and 1650 controls for -1154G/A were examined, respectively. The results indicated that VEGF +936C/T (T vs C, OR = 1.19, 95% CI = 1.01-1.40) or -2578C/A (A vs C, OR = 1.13, 95% CI = 1.02-1.27) was positively associated with the risk of stroke, whereas there was no association between -1154G/A (A vs G, OR = 0.99, 95% CI = 0.87-1.11) polymorphism and stroke risk in our study. Among the subgroup analyses on ethnicity, the results showed that VEGF +936C/T was an increased risk of stroke in Asian population (T vs C, OR = 1.21, 95% CI = 1.01-1.44), but not -1154G/A. CONCLUSION: Our findings suggest that VEGF +936C/T and -2578C/A might be related to the risk of stroke, especially in the Asian population, but not -1154G/A.