Changing spectrum and mortality disparities of etiology of liver cirrhosis in Beijing, China.

Liver cirrhosis remains a major health concern globally, but its epidemiology and etiology evolve with time. However, the changing pattern in etiology and cause of liver-related mortality for patients with cirrhosis are not fully elucidated. Herein, our aim was to characterize the temporal trend of the etiological spectrum and evaluate the impact of etiology on liver-related death among patients with compensated cirrhosis (CC) in Beijing, China. Clinical profiles of patients with CC discharged between January 2008 and December 2015 were retrieved from the Beijing hospital discharge database. The mortalities of different etiologies of cirrhosis were calculated. The risks of readmission and liver-related death associated with etiologies were evaluated by the Cox regression model. A total of 23 978 cirrhotic patients were included. The predominant cause was hepatitis B virus (HBV) (58.93%), followed by alcohol (21.35%), autoimmune (14.85%), miscellaneous etiologies (3.55%), and hepatitis C virus (HCV) (1.32%). From 2008 to 2015, the proportion of HBV-related cirrhosis decreased to 28.11%. Meanwhile, the proportions of autoimmune- and miscellaneous-related cirrhosis increased to 28.54% and 13.11%. The risk of liver-related death ranked the highest in patients with miscellaneous cirrhosis, followed by HBV-related cirrhosis, alcohol-related cirrhosis, autoimmune-related cirrhosis, and HCV-related cirrhosis. The 5-year rates of liver-related death were 22.56%, 18.99%, 18.77%, 16.01%, and 10.76%, respectively. HBV-related cirrhosis caused the highest risk of hepatocellular carcinoma (HCC)-related death, whereas alcohol- and miscellaneous-related cirrhosis caused higher risks of decompensation (DC)-related death than HBV-related cirrhosis, with hazard ratios of 1.35 (95% confidence interval [CI]: 1.24-1.48) and 1.20 (95% CI: 1.03-1.40), respectively. HBV remained a common cause of liver cirrhosis but gradually decreased. Mortality disparities existed in etiologies, with higher risks of HCC-related death in HBV-related cirrhosis, and DC-related death in alcohol- and miscellaneous-related cirrhosis.

Predicting coronary heart disease in Chinese diabetics using machine learning.

Diabetes, a common chronic disease worldwide, can induce vascular complications, such as coronary heart disease (CHD), which is also one of the main causes of human death. It is of great significance to study the factors of diabetic patients complicated with CHD for understanding the occurrence of diabetes/CHD comorbidity. In this study, by analyzing the risk of CHD in more than 300,000 diabetes patients in southwest China, an artificial intelligence (AI) model was proposed to predict the risk of diabetes/CHD comorbidity. Firstly, we statistically analyzed the distribution of four types of features (basic demographic information, laboratory indicators, medical examination, and questionnaire) in comorbidities, and evaluated the predictive performance of three traditional machine learning methods (eXtreme Gradient Boosting, Random Forest, and Logistic regression). In addition, we have identified nine important features, including age, WHtR, BMI, stroke, smoking, chronic lung disease, drinking and MSP. Finally, the model produced an area under the receiver operating characteristic curve (AUC) of 0.701 on the test samples. These findings can provide personalized guidance for early CHD warning for diabetic populations.

Poverty alleviation and health services for the poor in China: evidence from national health service surveys in 2013 and 2018.

BACKGROUND: China has made intensive efforts to eliminate extreme poverty by 2020. This paper aims to evaluate the changes in health service needs, utilization, and medical expenses for poor people during the poverty alleviation period. METHODS: The study used data from national health services surveys in 2013 and 2018. The poor people were identified and certified by the local government. Health service needs, utilization, medical expenses, and reimbursement rates were analyzed and compared between 2013 and 2018, between the poor and the non-poor groups. RESULTS: People living in poverty were usually elderly, illiterate, and unemployed. The poor people had a significantly higher two-week morbidity rate and a higher prevalence of chorionic non-communicable diseases than the non-poor group. For both the poor and non-poor, health service needs increased between 2013 and 2018. Accordingly, the poor people had more use of outpatient and inpatient services. The annual inpatient admission rates were 20.8% and 13.1% for the poor and non-poor, respectively, in 2018. The average medical expenses per inpatient admission were much lower for the poor than for the non-poor. Out-of-pocket (OOP) payment share decreased from 41.9% to 2013 to 31.9% in 2018 for the poor, while for the non-poor, the OOP rate was much higher (45.4%) and had no significant changes between the two surveys. The reduction in the OOP share occurred mostly in rural areas. CONCLUSIONS: Poverty alleviation in China may have positive effect in improving poor people's access to health services, and reducing their financial burden due to illness and health service utilization.

Trends in health service needs, utilization, and non-communicable chronic diseases burden of older adults in China: evidence from the 1993 to 2018 National Health Service Survey.

BACKGROUND: Aging is associated with an increased prevalence of non-communicable chronic diseases (NCDs), functional impairments, and diverse demands for health services. This study analyzed the trends in older adults' needs and utilization of health services from 1993 to 2018 in China, as well as chronic disease-related economic burdens. METHODS: The research data were collected from the six cross-sectional National Health Service Survey (NHSS), implemented every 5 years from 1993 to 2018. A multi-stage stratified random cluster sampling method has been adopted in the NHSS. The data on the older population's socio-economic characteristics, health service needs, and utilization were collected from the 6 waves National Health Service Survey (NHSS) 1993-2018. In the 2013 and 2018 NHSSs, EQ-5D-3L and visual analogue scale were used to evaluate the health condition. And the prevalence of NCDs and related Out-of-pocket (OOP) expenditures were collected. Functional dependency and impairment were collected in 2018. The Katz Activities of Daily Living scale was used to evaluate six functions, including self-feeding, dressing, bathing, transferring, toilet hygiene, and controlling bowel movements. RESULTS: The two-week morbidity rate and prevalence of NCDs showed a rapid upward trend in older adults. With the development of health system reform and universal health insurance coverage, older adults' two-week medical consultation rate increased from 25.6% in 1993 to 40.1% in 2018, and the hospitalization rate rose from 6.1% to 24.9%. The difference in health service needs and utilization between urban and rural areas decreased, and the hospitalization rate in rural areas (26.3%) exceeded that in urban areas (23.6%) for the first time in 2018. Functional independence become more severe as aged. The proportion of severe functional impairment was 6.9% and 2% in the group aged 80 or over and group 70-79 years, respectively. Regarding disability status, 32.5% had hearing problems and 31.4% had visual impairment. The highest prevalence rates of NCDs in older adults were found in hypertension (36.9%), followed by diabetes (10.6%), cerebrovascular disease (5.4%), ischemic heart disease (4.5%), and intervertebral disc disease (4.2%). The average annual OOP expenditures attributed to NCDs increased from ¥2481.8 RMB in 2013 to ¥8255.9 RMB in 2018 for older adults. About 90.7% of older adults prefer to live in the residential community, leading to the demands for preventive healthcare (30.4%), medical treatment (14.1%), and elderly education (8.6%). CONCLUSION: The elevated risks of age-related impairments and chronic morbidities, and increased demands for preventive healthcare are critical public health issues. Policymakers should strengthen primary healthcare and move towards integrated delivery to improve access and quality of care for older adults. The integration of healthcare and social security constitutes an adaptive trend in meeting the multi-level demands of an aging society.

Changes of equality of medical service utilization in China between 1993 and 2018: findings from six waves of nationwide household interview survey.

BACKGROUND: Changes in China's health care system in the last three decades was remarkable. The current study aims on examine the change of equality of health care utilization in mainland China based on a nationwide household interview survey. METHODS: We used household interview data extracted from six waves of National Health Service Survey between 1993 and 2018. Changes of health care utilization were descripted. Equality of the utilization were examined with univariate meta-regression across urban and rural areas, socioeconomic development regions and income groups. RESULTS: The proportion of outpatient visits within last two weeks experienced a decrease from 17.0% in 1993 to 13.0% in 2013 and bounced back to 24.0% in 2018. The age-standardized trend remained unchanged. Hospitalization in the last 12 month increased from 2.6% in 1998 to 13.8% in 2018. The perceived unmet need of hospital admission fell from 35.9% in 1998 to 21.5% in 2018. The gaps in health care utilization between urban and rural areas, across regions and by income groups have been narrowed, implying improved equality of using medical services in the last two and a half decades. CONCLUSION: China has experienced significant increases in health care utilization over the past 25 years. Meanwhile, the unmet needs for health care decreased remarkably and the equality of health care utilization improved significantly. These results imply significant achievements in health service accessibility in China.

iRNA-ac4C: A novel computational method for effectively detecting N4-acetylcytidine sites in human mRNA.

RNA N4-acetylcytidine (ac4C) is the acetylation of cytidine at the nitrogen-4 position, which is a highly conserved RNA modification and involves a variety of biological processes. Hence, accurate identification of genome-wide ac4C sites is vital for understanding regulation mechanism of gene expression. In this work, a novel predictor, named iRNA-ac4C, was established to identify ac4C sites in human mRNA based on three feature extraction methods, including nucleotide composition, nucleotide chemical property, and accumulated nucleotide frequency. Subsequently, minimum-Redundancy-Maximum-Relevance combined with incremental feature selection strategies was utilized to select the optimal feature subset. According to the optimal feature subset, the best ac4C classification model was trained by gradient boosting decision tree with 10-fold cross-validation. The results of independent testing set indicated that our proposed method could produce encouraging generalization capabilities. For the convenience of other researchers, we established a user-friendly web server which is freely available at http://lin-group.cn/server/iRNA-ac4C/. We hope that the tool could provide guide for wet-experimental scholars.

Decoding m6A RNA methylome identifies PRMT6-regulated lipid transport promoting AML stem cell maintenance.

N6-methyladenosine (m6A) is a common chemical modification for mammalian mRNA and exhibits high dynamics in various biological processes. However, dynamics of m6A RNA methylome during leukemogenesis remains unknown. Here, we delineate a comprehensive m6A landscape during acute myeloid leukemia (AML) development and identify PRMT6 as a key for maintaining AML stem cells. We observe an obvious change in m6A methylome during leukemogenesis and find that protein arginine methyltransferase PRMT6 and m6A reader IGF2BP2 maintain the function of human and murine leukemia stem cells (LSCs). Genetic deletion or pharmacological inhibition of PRMT6 damages AML development and LSC function. Mechanistically, IGF2BP2 stabilizes PRMT6 mRNA via m6A-mediated manner, which catalyzes H3R2me2a and suppresses lipid transporter MFSD2A expression. PRMT6 loss upregulates MFSD2A expression that increases docosahexaenoic acid levels and impairs LSC maintenance. Collectively, our findings reveal a critical role of PRMT6-MFSD2A signaling axis in AML development and provide a therapeutic strategy for targeting LSCs.

Integrated bioinformatics analysis of microarray data from the GEO database to identify the candidate genes linked to poor prognosis in lung adenocarcinoma.

BACKGROUND: Lung adenocarcinoma (LUAD) is one of the most common cancers with high morbidity and mortality and remains a crucial factor endangering human health. OBJECTIVE: This study aimed to elucidate the potential treatment target and prognostic biomarker in patients with LUAD through a comprehensive bioinformatics analysis. METHODS: The three public microarray datasets of GSE118370, GSE116959, and GSE43767 were obtained from the GEO data resource. The DEGs were explored between LUAD and non-malignant samples using GEO2R online tool in GEO data resource. GO along with KEGG analysis of DEGs were examined using WebGestalt tool. The STRING web resource was employed to develop the PPI network of DEGs, whereas Cytoscape software was employed to perform module analysis. Finally, the mRNA, protein expression along with survival analysis of hub genes were explored via GEPIA, HPA along with Kaplan-Meier plotter web resource, respectively. RESULTS: Only 82 upregulated and 105 downregulated DEGs were found among the three datasets. Further, GO analysis illustrated that 187 DEGs were primary enriched in extracellular structure organization, tube development along with cell adhesion. The KEGG enrichments showed that these DEGs were primary linked to leukocyte transendothelial migration, vascular smooth muscle contraction along with ECM-receptor interaction. Among the 187 DEGs, the 10 hub genes (P4HB, SPP1, CP, GOLM1, COL1A1, MMP9, COL10A1, APOA1, COL4A6, and TIMP1) were identified. The mRNA along with protein levels of hub genes in LUAD tissues were further verified by Oncomine, UCSC Xena, GEPIA and HPA databases. Additionally, overall survival curves illustrated that LUAD patients with the higher levels of P4HB, SPP1, COL1A1, and MMP9 were dramatically linked to shorter overall survival. CONCLUSIONS: The current study identified DEGs candidate genes (P4HB, SPP1, COL1A1, and MMP9) and pathways in LUAD using bioinformatics analysis, which could enhance our understanding of pathogenesis along with underlying molecular events in LUAD, and these hub genes and pathways may help provide candidate treatment targets for LUAD.

Benefits and risks of drug combination therapy for diabetes mellitus and its complications: a comprehensive review.

Diabetes is a chronic metabolic disease, and its therapeutic goals focus on the effective management of blood glucose and various complications. Drug combination therapy has emerged as a comprehensive treatment approach for diabetes. An increasing number of studies have shown that, compared with monotherapy, combination therapy can bring significant clinical benefits while controlling blood glucose, weight, and blood pressure, as well as mitigating damage from certain complications and delaying their progression in diabetes, including both type 1 diabetes (T1D), type 2 diabetes (T2D) and related complications. This evidence provides strong support for the recommendation of combination therapy for diabetes and highlights the importance of combined treatment. In this review, we first provided a brief overview of the phenotype and pathogenesis of diabetes and discussed several conventional anti-diabetic medications currently used for the treatment of diabetes. We then reviewed several clinical trials and pre-clinical animal experiments on T1D, T2D, and their common complications to evaluate the efficacy and safety of different classes of drug combinations. In general, combination therapy plays a pivotal role in the management of diabetes. Integrating the effectiveness of multiple drugs enables more comprehensive and effective control of blood glucose without increasing the risk of hypoglycemia or other serious adverse events. However, specific treatment regimens should be tailored to individual patients and implemented under the guidance of healthcare professionals.

DeepIDC: A Prediction Framework of Injectable Drug Combination Based on Heterogeneous Information and Deep Learning.

BACKGROUND AND OBJECTIVE: In clinical practice, injectable drug combination (IDC) usually provides good therapeutic effects for patients. Numerous clinical studies have directly indicated that inappropriate IDC generates adverse drug events (ADEs). The clinical application of injections is increasing, and many injections lack relevant combination information. It is still a significant need for experienced clinical pharmacists to participate in evidence-based drug decision making, monitor medication safety, and manage drug interactions. Meanwhile, a large number of injection pairs and dosage combinations limit exhaustive screening. Here, we present a prediction framework, called DeepIDC, that can expediently screen the feasibility of IDCs using heterogeneous information with deep learning. This is the first specific prediction framework to identify IDCs. METHODS: Since the interaction between the injected drugs may occur in the direct physical and chemical reactions at the time of mixing or may be the indirect interaction of their drug targets and pathways, we used molecular fingerprints, drug-target associations, and drug-pathway associations to convert injections into a string of digital vectors. Then, based on these injection vectors, we combined a bidirectional long short-term memory and a feed-forward neural network to build a prediction model for accurate and instructive prediction of IDC. RESULTS: In three realistic evaluation scenarios, DeepIDC has achieved ideal prediction results. Furthermore, compared with the other five machine-learning methods, the proposed predictor is more efficient and robust. Among the top 30 potential IDCs of each IDC class predicted by DeepIDC, we found that 9 cases were experimentally verified in the literature or available on Drug.com. CONCLUSION: The information we extracted in vivo and in vitro can effectively characterize injectable drugs. DeepIDC developed based on deep learning algorithm provides a valuable unified framework for new IDC discovery, which can make up for the lack of IDC information and predict potential IDC events.

IBPred: A sequence-based predictor for identifying ion binding protein in phage.

Ion binding proteins (IBPs) can selectively and non-covalently interact with ions. IBPs in phages also play an important role in biological processes. Therefore, accurate identification of IBPs is necessary for understanding their biological functions and molecular mechanisms that involve binding to ions. Since molecular biology experimental methods are still labor-intensive and cost-ineffective in identifying IBPs, it is helpful to develop computational methods to identify IBPs quickly and efficiently. In this work, a random forest (RF)-based model was constructed to quickly identify IBPs. Based on the protein sequence information and residues' physicochemical properties, the dipeptide composition combined with the physicochemical correlation between two residues were proposed for the extraction of features. A feature selection technique called analysis of variance (ANOVA) was used to exclude redundant information. By comparing with other classified methods, we demonstrated that our method could identify IBPs accurately. Based on the model, a Python package named IBPred was built with the source code which can be accessed at https://github.com/ShishiYuan/IBPred.

Trends in disparities in healthcare utilisation between and within health insurances in China between 2008 and 2018: a repeated cross-sectional study.

BACKGROUND: Fragmentation in China's social health insurance schemes and income gap have been recognised as important factors for the inequitable use of healthcare. This study assessed trends in disparities in healthcare utilisation between and within health insurances in China between 2008 and 2018. METHODS: We used data from the 2008, 2013, and 2018 China National Health Services Survey. Outpatient visit, inpatient admission and foregone inpatient care were chosen to measure healthcare utilisation and underutilisation by health insurances. Absolute differences and rate ratios were generated to examine disparities between and within health insurances, and changes in disparities were analysed descriptively. Pearson χ2 tests were used to test for statistical significance of differences. RESULTS: The outpatient visit rate for respondents covered by the urban resident-based basic medical insurance scheme (URBMI) more than doubled between 2008 and 2018, increasing from 10.5% (9.7-11.2) to 23.5% (23.1-23.8). Inpatient admission rates for respondents covered by URBMI and the new rural cooperative medical scheme (NRCMS) more than doubled between 2008 and 2018, increasing by 7.2 (p < 0.0001) and 7.4 (p < 0.0001) percentage points, respectively. Gaps in outpatient visits and inpatient admissions narrowed across the urban employee-based basic medical insurance scheme (UEBMI), URBMI, and NRCMS through 2008 to 2018, and by 2018 the gaps were small. The rate ratios of foregone inpatient care between NRCMS and UEBMI fell from 0.9 (p > 0.1) in 2008 to 0.8 (p < 0.0001) in 2018. Faster increases in outpatient and inpatient utilisation and greater reductions in foregone inpatient care were observed in poor groups than in wealthy groups within URBMI and NRCMS. However, the poor groups within UEBMI, URBMI, and NRCMS were always more likely to forego inpatient care in comparison with their wealthy counterparts. CONCLUSIONS: Remarkable increases in healthcare utilisation of URBMI and NRCMS, especially among the poorest groups, were accompanied by improvements in inequality in healthcare utilisation across UEBMI, URBMI, and NRCMS, and in income-based inequality in healthcare utilisation within URBMI and NRCMS. However, the poor groups were always more likely to forego admission to hospital, as recommended by doctors. We suggest further focus on the foregoing admission care of the poor groups.

Differential m6A RNA landscapes across hematopoiesis reveal a role for IGF2BP2 in preserving hematopoietic stem cell function.

N6-methyladenosine (m6A) on mRNA plays critical roles in various cellular processes. However, the landscape and dynamics of m6A modification in hematopoietic system remain unknown. Here, we delineate a comprehensive m6A landscape across hematopoietic hierarchy and uncover that IGF2BP2 is required for preserving the function of hematopoietic stem cells (HSCs). Our data reveal a cell-type-specific m6A landscape in hematopoiesis. m6A modifications arise mostly in the early stage of hematopoiesis and prefer to play distinct roles for determining mRNA fates in HSCs and committed progenitors. Mechanistically, increased m6A-IGF2BP2 expression controls transcriptional state and maintenance of HSCs. IGF2BP2 deficiency induces quiescence loss and impairs HSC function. Moreover, IGF2BP2 loss increases mitochondrial activity of HSCs by accelerating Bmi1 mRNA decay, leading to de-repression of mitochondria-related genes. Collectively, our results present a fascinating portrait of m6A modification of hematopoietic hierarchy and reveal a key role of IGF2BP2 in maintaining HSC function by restraining mitochondrial activity.

O-GlcNAc modification regulates MTA1 transcriptional activity during breast cancer cell genotoxic adaptation.

BACKGROUND: Chromatin modifier metastasis-associated protein 1 (MTA1), closely associated with tumor angiogenesis in breast cancer, plays an important role in gene expression and cancer cell behavior. Recently, an association between O-GlcNAc transferase (OGT) and MTA1 was identified by mass spectroscopy. However, the potential relationship between MTA1 and O-GlcNAc modification has not yet explored. METHODS: In the current study, the role of MTA1 and its O-GlcNAc modification in breast cancer cell genotoxic adaptation was investigated through quantitative proteomics, chromatin immunoprecipitation followed by sequencing (ChIP-seq), transcriptome analysis, and loss- and gain-of-function experiments. RESULTS: We demonstrate that the O-GlcNAc modification promotes MTA1 to interaction with chromatin and thus changes the expression of target genes, contributing to breast cancer cell genotoxic adaptation. MTA1 is modified with O-GlcNAc residues at serine (S) residues S237/S241/S246 in adriamycin-adaptive breast cancer cells, and this modification improves the genome-wide interactions of MTA1 with gene promotor regions by enhancing its association with nucleosome remodeling and histone deacetylation (NuRD) complex. Further, O-GlcNAc modification modulates MTA1 chromatin binding, influencing the specific transcriptional regulation of genes involved in the adaptation of breast cancer cells to genotoxic stress. CONCLUSIONS: Our findings reveal a previously unrecognized role for O-GlcNAc-modified MTA1 in transcriptional regulation and suggest that the O-GlcNAc modification is a key to the molecular regulation of chemoresistance in breast cancers.

O-GlcNAcylation promotes the migratory ability of hepatocellular carcinoma cells via regulating FOXA2 stability and transcriptional activity.

O-GlcNAcylation is a posttranslational modification that regulates numerous nuclear and cytoplasmic proteins and is emerging as a key regulator of various biological processes, such as transcription, signal transduction, and cell motility. Although increasing evidence has shown that elevated levels of global O-GlcNAcylation are linked to the metastasis in hepatocellular carcinoma (HCC) cells, the underlying mechanism is still ambiguous. In this study, we demonstrated that forkhead box protein A2 (FOXA2), an essential transcription factor for liver homeostasis and HCC developing, was O-GlcNAcylated by O-GlcNAc transferase (OGT) and regulates HCC cells migration and invasion. Opposite FOXA2 and OGT expression tendency were observed in HCC tissues, and lower FOXA2 levels predicted a poor prognosis in HCC patients. The reduction of FOXA2 in HCC cells was found to be inversely correlated with the cellular O-GlcNAcylation and cell migratory ability. Notably, we found that FOXA2 was modified by O-GlcNAcylation and that O-GlcNAcylation activated the ubiquitination degradation of FOXA2 in highly metastatic HCC cells. Although this modification did not affect FOXA2 nuclear localization capability, O-GlcNAcylation on FOXA2 was key for attenuating FOXA2-mediated transcription. O-GlcNAcylation decreased the transcription of FOXA2 downstream target gene E-cadherin and it ultimately promoted O-GlcNAcylation-mediated HCC cell migration and invasion. The results provide insights into the role of O-GlcNAcylation in regulating FOXA2 activity and suggest its important implications in HCC metastasis.

YBX1 is required for maintaining myeloid leukemia cell survival by regulating BCL2 stability in an m6A-dependent manner.

RNA-binding proteins (RBPs) are critical regulators of transcription and translation that are often dysregulated in cancer. Although RBPs are increasingly recognized as being important for normal hematopoiesis and for hematologic malignancies as oncogenes or tumor suppressors, RBPs that are essential for the maintenance and survival of leukemia remain elusive. Here we show that YBX1 is specifically required for maintaining myeloid leukemia cell survival in an N6-methyladenosine (m6A)-dependent manner. We found that expression of YBX1 is significantly upregulated in myeloid leukemia cells, and deletion of YBX1 dramatically induces apoptosis and promotes differentiation coupled with reduced proliferation and impaired leukemic capacity of primary human and mouse acute myeloid leukemia cells in vitro and in vivo. Loss of YBX1 has no obvious effect on normal hematopoiesis. Mechanistically, YBX1 interacts with insulin-like growth factor 2 messenger RNA (mRNA)-binding proteins (IGF2BPs) and stabilizes m6A-tagged RNA. Moreover, YBX1 deficiency dysregulates the expression of apoptosis-related genes and promotes mRNA decay of MYC and BCL2 in an m6A-dependent manner, which contributes to the defective survival that results from deletion of YBX1. Thus, our findings have uncovered a selective and critical role of YBX1 in maintaining myeloid leukemia survival, which might provide a rationale for the therapeutic targeting of YBX1 in myeloid leukemia.

Reduced expression of ppGalNAc-T4 promotes proliferation of human breast cancer cells.

Breast cancer, one of the most frequently diagnosed and aggressive malignancies, is the major cause of cancer-related death greatly threatening women health. Polypeptide N-acetylgalactosaminyltransferase 4 (ppGalNAc-T4), responsible for the initial step of mucin-type O-glycosylation, has been reported to be implicated in diverse types of human tumors. However, the biological role of ppGalNAc-T4 in breast cancer is still undetermined. In this study, we investigate the effects and mechanism of ppGalNAc-T4 to breast cancer cell proliferation. From analysis of high throughput RNA sequencing datasets of Gene Expression Omnibus and ArrayExpress, a positive correlation between ppGalNAc-T4 and the recurrence-free survival was observed in multigroup of human breast cancer datasets. Moreover, transcriptomes analysis using RNA-sequencing in MCF7 cells revealed that cell cycle-related genes induced the effects of ppGalNAc-T4 on breast cancer cell proliferation. Additionally, investigations showed that ppGalNAc-T4 impaired cell proliferation in MCF-7 and MDA-MB-231 breast cells. Furthermore, our results suggested that the ppGalNAc-T4 knockout activated Notch signaling pathway and enhanced cell proliferation. Collectively, our data indicated that ppGalNAc-T4 affected the proliferation of human breast cancer cells, which appears to be a novel target for understanding the underlying molecular mechanism of breast cancer.

Proteomic profiling and genome-wide mapping of O-GlcNAc chromatin-associated proteins reveal an O-GlcNAc-regulated genotoxic stress response.

O-GlcNAc modification plays critical roles in regulating the stress response program and cellular homeostasis. However, systematic and multi-omics studies on the O-GlcNAc regulated mechanism have been limited. Here, comprehensive data are obtained by a chemical reporter-based method to survey O-GlcNAc function in human breast cancer cells stimulated with the genotoxic agent adriamycin. We identify 875 genotoxic stress-induced O-GlcNAc chromatin-associated proteins (OCPs), including 88 O-GlcNAc chromatin-associated transcription factors and cofactors (OCTFs), subsequently map their genomic loci, and construct a comprehensive transcriptional reprogramming network. Notably, genotoxicity-induced O-GlcNAc enhances the genome-wide interactions of OCPs with chromatin. The dynamic binding switch of hundreds of OCPs from enhancers to promoters is identified as a crucial feature in the specific transcriptional activation of genes involved in the adaptation of cancer cells to genotoxic stress. The OCTF nuclear factor erythroid 2-related factor-1 (NRF1) is found to be a key response regulator in O-GlcNAc-modulated cellular homeostasis. These results provide a valuable clue suggesting that OCPs act as stress sensors by regulating the expression of various genes to protect cancer cells from genotoxic stress.

Towards Comprehensive National Surveillance for Adolescent Health in China: Priority Indicators and Current Data Gaps.

PURPOSE: The purpose of the study was to propose a health indicator system responsive to current Chinese adolescent health needs and identify data gaps in current information systems. METHODS: We identified 186 keywords for adolescent health gathered from three sources: contributors to the burden of disease captured in the Global Burden of Diseases 2015, together with independent literature and expert desk reviews; major health-related policies released by the State Council of China; and global strategies issued by UN agencies over the past five years. All keywords were synthesized into indicators and ranked with core indicators identified through panel discussions and literature review. A further systematic review was conducted to identify data sources for each indicator. RESULTS: We identified 100 indicators which we categorized into five dimensions: health outcomes including adolescent mortality and morbidity; health knowledge, skills and risk behaviors including smoking, physical activity; demographic and socioeconomic status including education or employment; responsiveness of the health service system including the provision of health education at school; and the physical and social environments including safe drinking water, secondhand smoke exposure, injuries, and bullying. In total, 72 indicators had nationally representative data, including 22 out of 24 core indicators (91.7%), 27 out of 33 potential core indicators (81.8%), and 23 out of 43 general indicators (53.5%). A large proportion of these indicators rely solely on data from school or household surveys. CONCLUSIONS: The proposed health indicator system has the potential to rapidly identify shifting priorities for adolescent health in China but will require greater investment in primary data collection in neglected areas.