BACKGROUND: Severe stroke has high rates of mortality and morbidity. This study aimed to investigate the clinical course, causes of worsening, and outcomes of severe ischemic stroke. METHODS: This prospective, multicenter cohort study enrolled adult patients admitted ≤30 days after ischemic stroke from nine hospitals in China between September 2017 and December 2019. Severe stroke was defined as a score of ≥15 on the National Institutes of Health Stroke Scale (NIHSS). Clinical worsening was defined as an increase of 4 in the NIHSS score from baseline. Unfavorable functional outcome was defined as a modified Rankin scale score ≥3 at 3 months and 1 year after stroke onset, respectively. We performed Logistic regression to explore baseline features and reperfusion therapies associated with clinical worsening and functional outcomes. RESULTS: Among 4201 patients enrolled, 854 patients (20.33%) had severe stroke on admission. Of 3347 patients without severe stroke on admission, 142 (4.24%) patients developed severe stroke in hospital. Of 854 patients with severe stroke on admission, 33.95% (290/854) experienced clinical worsening (median time from stroke onset: 43 h, Q1-Q3: 20-88 h), with brain edema (54.83% [159/290]) as the leading cause; 24.59% (210/854) of these patients died by 30 days, and 81.47% (677/831) and 78.44% (633/807) had unfavorable functional outcomes at 3 months and 1 year respectively. Reperfusion reduced the risk of worsening (adjusted odds ratio [OR]: 0.24, 95% confidence interval [CI]: 0.12-0.49, P  <0.01), 30-day death (adjusted OR: 0.22, 95% CI: 0.11-0.41, P  <0.01), and unfavorable functional outcomes at 3 months (adjusted OR: 0.24, 95% CI: 0.08-0.68, P <0.01) and 1 year (adjusted OR: 0.17, 95% CI: 0.06-0.50, P  <0.01). CONCLUSIONS: Approximately one-fifth of patients with ischemic stroke had severe neurological deficits on admission. Clinical worsening mainly occurred in the first 3 to 4 days after stroke onset, with brain edema as the leading cause of worsening. Reperfusion reduced the risk of clinical worsening and improved functional outcomes. REGISTRATION ClinicalTrials.gov , NCT03222024.
Humans ; Male ; Female ; Prospective Studies ; Ischemic Stroke/mortality* ; Aged ; Middle Aged ; Aged, 80 and over ; Stroke ; Brain Ischemia

Cardiac ion channelopathies encompass a set of inherited or acquired conditions that are due to dysfunction in ion channels or their associated proteins, typically in the presence of structurally normal hearts. They are associated with the development of ventricular arrhythmias and sudden cardiac death. The aim of this review is to provide a historical perspective and recent advances in the research of the cardiac ion channelopathies, Brugada syndrome, long QT syn‑ drome and catecholaminergic polymorphic ventricular tachycardia, in Hong Kong, China. In particular, recent works on the development of novel predictive models incorporating machine learning techniques to improve risk strati‑ fication are outlined. The availability of linked records of affected patients with good longitudinal data in the public sector, together with multidisciplinary collaborations, implies that ion channelopathy research efforts have advanced significantly.

OBJECTIVE: To investigate the spatial patterns of the prevalence, awareness, treatment, and control rates of dyslipidemia at the provincial level in China. METHODS: A national and provincial representative cross-sectional survey was conducted among 178,558 Chinese adults in 31 provinces in mainland China in 2018-2019, using a multi-stage, stratified, cluster-randomized sampling design. Subjects, as households, were selected, followed by a home visit to collect information. Both descriptive and linear regression procedures were applied in the analyses. RESULTS: The overall prevalence of dyslipidemia was 35.6%, and wide geographic variations of prevalence, treatment, and control rates of dyslipidemia were identified among 178,558 eligible participants with a mean age of 55.1 ± 13.8 years. The highest-lowest difference regarding the provincial level prevalence rates were 19.7% vs. 2.1% for high low-density lipoprotein cholesterol, 16.7% vs. 2.5% for high total cholesterol, 35.9% vs. 5.4% for high triglycerides, and 31.4% vs. 10.5% for low high-density lipoprotein cholesterol. The treatment rate of dyslipidemia was correlated with the socio-demographic index ( P < 0.001), urbanization rate ( P = 0.01), and affordable basic technologies and essential medicines ( P < 0.001). CONCLUSION Prevailing dyslipidemia among the Chinese population and its wide geographic variations in prevalence, treatment, and control suggest that China needs both integrated and localized public health strategies across provinces to improve lipid management.
Humans ; Adult ; Middle Aged ; Aged ; Cross-Sectional Studies ; Prevalence ; East Asian People ; Dyslipidemias/prevention & control* ; China/epidemiology* ; Cholesterol, HDL ; Risk Factors ; Triglycerides

The mechanisms underlying autophagic defects in nonalcoholic steatohepatitis (NASH) remain largely unknown. We aimed to elucidate the roles of hepatic cyclooxygenase 1 (COX1) in autophagy and the pathogenesis of diet-induced steatohepatitis in mice. Human nonalcoholic fatty liver disease (NAFLD) liver samples were used to examine the protein expression of COX1 and the level of autophagy. Cox1^Δhepa mice and their wildtype littermates were generated and fed with 3 different NASH models. We found that hepatic COX1 expression was increased in patients with NASH and diet-induced NASH mice models accompanied by impaired autophagy. COX1 was required for basal autophagy in hepatocytes and liver specific COX1 deletion exacerbated steatohepatitis by inhibiting autophagy. Mechanistically, COX1 directly interacted with WD repeat domain, phosphoinositide interacting 2 (WIPI2), which was crucial for autophagosome maturation. Adeno-associated virus (AAV)-mediated rescue of WIPI2 reversed the impaired autophagic flux and improved NASH phenotypes in Cox1^Δhepa mice, indicating that COX1 deletion-mediated steatohepatitis was partially dependent on WIPI2-mediated autophagy. In conclusion, we demonstrated a novel role of COX1 in hepatic autophagy that protected against NASH by interacting with WIPI2. Targeting the COX1-WIPI2 axis may be a novel therapeutic strategy for NASH.

Emergence of the colistin resistance gene,mcr-1,has attracted worldwide attention.Despite the prevalence of mcr-1-positive Escherichia coli(MCRPEC)strains in human carriage showing a significant decrease between 2016 and 2019,genetic differences in MCRPEC strains remain largely unknown.We therefore conducted a comparative genomic study on MCRPEC strains from fecal samples of healthy human subjects in 2016 and 2019.We identified three major differences in MCRPEC strains between these two time points.First,the insertion sequenceISApll1 was often deleted and the percentage of mcr-1-carrying IncI2 plasmids was increased in MCRPEC strains in 2019.Second,the antibiotic resistance genes(ARGs),aac(3)-Ⅳa and blaCTX-M-1,emerged and coexisted with mcr-1 in 2019.Third,MCRPEC strains in 2019 contained more viru-lence genes,resulting in an increased proportion of extraintestinal pathogenic E.coli(ExPEC)strains(36.1％)in MCRPEC strains in 2019 compared to that in 2016(10.5％),implying that these strains could occupy intestinal ecological niches by competing with other commensal bacteria.Our results suggest that despite the significant reduction in the prevalence of MCRPEC strains in humans from 2016 to 2019,MCRPEC exhibits increased resistance to other clinically important ARGs and contains more virulence genes,which may pose a potential public health threat.

Objective:Using high-throughput transcriptome sequencing technology to study the differentially expressed genes (DEGs) and related regulatory signaling pathways involved in H1N1 influenza virus infection in primary human retinal pigment epithelial (RPE) cells.Methods:Primary human RPE cells were infected with H1N1 influenza virus for 2 h or 12 h, respectively. Taking H1N1 uninfected cells as a control group, total RNA was extracted, a library was constructed, and transcriptome sequencing was performed. DEGs were screened by DESeq2 software, and DEGs were analyzed by gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway.Results:Compared with the control group, a total of 1830 DEGs were identified in the 2 h H1N1 influenza virus infection group, and 2847 DEGs were identified in the 12 h infection group; 1213 DEGs were identified in the H1N1 influenza virus infection kinetics process (2 h: 12 h). The GO functional annotation analysis of DEGs in the H1N1 influenza virus infection group for 12 h showed that DEGs widely exist in a variety of cellular components and participate in various biological processes such as cellular processes, biological regulation, and metabolic processes. KEGG pathway enrichment analysis showed that DEGs were mainly enriched in the PI3K-Akt signaling pathway, MAPK signaling pathway, cancer MicroRNAs, and cytokine-cytokine receptor interactions in the 2 h H1N1 influenza virus infection group; in the 12 h H1N1 influenza virus infection group, DEGs were mainly enriched in PI3K-Akt signaling pathway, cancer MicroRNAs, AGE-RAGE signaling pathway and immune-inflammatory pathways; during the kinetics of H1N1 influenza virus infection (2 h: 12 h), DEGs were mainly enriched in cytokine-cytokine receptor interaction, TGF-β signaling pathway.Conclusions:Infection with H1N1 influenza virus leads to significant changes in the transcriptome of RPE cells. These data provide scientific reference for elucidating the molecular mechanism of eye infection by respiratory viruses such as influenza virus.

Cardiovascular diseases are one of the leading global causes of mortality. Currently, clinicians rely on their own analyses or automated analyses of the electrocardiogram (ECG) to obtain a diagnosis. However, both approaches can only include a finite number of predictors and are unable to execute complex analyses. Artificial intelligence (AI) has enabled the introduction of machine and deep learning algorithms to compensate for the existing limitations of cur‑ rent ECG analysis methods, with promising results. However, it should be prudent to recognize that these algorithms also associated with their own unique set of challenges and limitations, such as professional liability, systematic bias, surveillance, cybersecurity, as well as technical and logistical challenges. This review aims to increase familiarity with and awareness of AI algorithms used in ECG diagnosis, and to ultimately inform the interested stakeholders on their potential utility in addressing present clinical challenges.

Ventricular arrhythmias (VAs) and sudden cardiac death (SCD) are significant adverse events that affect the morbidity and mortality of both the general population and patients with predisposing cardiovascular risk factors. Currently, conventional disease-specific scores are used for risk stratification purposes. However, these risk scores have several limitations, including variations among validation cohorts, the inclusion of a limited number of predictors while omitting important variables, as well as hidden relationships between predictors. Machine learning (ML) techniques are based on algorithms that describe intervariable relationships. Recent studies have implemented ML techniques to construct models for the prediction of fatal VAs. However, the application of ML study findings is limited by the absence of established frameworks for its implementation, in addition to clinicians’ unfamiliarity with ML techniques.This review, therefore, aims to provide an accessible and easy-to-understand summary of the existing evidence about the use of ML techniques in the prediction of VAs. Our findings suggest that ML algorithms improve arrhythmic prediction performance in different clinical settings. However, it should be emphasized that prospective studies comparing ML algorithms to conventional risk models are needed while a regulatory framework is required prior to their implementation in clinical practice

Background: Early repolarization syndrome (ERS) and Brugada syndrome (BrS) are both J-wave syndromes. Both can involve mutations in the SCN5A gene but may exhibit distinct electrocardiographic (ECG) differences. The aim of this systematic review and meta-analysis is to investigate possible differences in ECG markers between SCN5A-positive patients with ERS and BrS. Methods: PubMed and Embase were searched from their inception to 20 October 2021 for human studies containing the search terms “SCN5A” and “variant” and “early repolarization” or “Brugada”, with no language restrictions.Continuous variables were expressed as mean±standard deviation. PR interval, QRS duration, QTc and heart rate from the included studies were pooled to calculate a mean for each variable amongst BrS and ERS patients. A two-tailed Student’s t test was then performed to for comparisons. Results: A total of 328 studies were identified. After full-text screening, 12 studies met our inclusion criteria and were included in this present study. One hundred and four ERS patients (mean age 30.86±14.45) and 2000 BrS patients (mean age 36.17±11.39) were studied. Our meta-analysis found that ERS patients had shorter QRS duration (90.40±9.97 vs. 114.79±20.10, P = 0.0001) and shorter corrected QT intervals (QTc) with borderline significance (393.63±40.04 vs. 416.82±37.43, P = 0.052). By contrast, no significant differences in baseline heart rate (65.15±18.78 vs. 76.06±18.78, P = 0.068) or PR intervals (197.40±34.69 vs. 191.88±35.08, P = 0.621) were observed between ERS and BrS patients. Conclusion BrS patients with positive SCN5A mutations exhibited prolonged QRS, indicating conduction abnormalities, whereas ERS patients with positive SCN5A mutations showed normal QRS. By contrast, whilst QTc intervals were longer in BrS than in ERS SCN5A positive patients, they were within normal limits. Further studies are needed to examine the implications of these findings for arrhythmic risk stratification.

Alzheimer's disease （AD） is a deleterious neurodegenerative disorder， which has become a significant public health concern and economic burden. The pathogenesis of AD is complex and involves several hypotheses such as amyloid β-protein （Aβ） deposition， Tau protein hyperphosphorylation， oxidative stress， and inflammation. There is an urgent need for a holism-based comprehensive intervention with multi-pathway， multi-level， and multi-target characteristics， which demonstrates the unique advantage of traditional Chinese medicine （TCM）. Therefore， it is of great significance to conduct and promote research on TCM treatment of AD. Danggui Shaoyaosan （DSS） from the Synopsis of Golden Chamber （《金匮要略》） by ZHANG Zhongjing （150 AD-219 AD） was originally designed for reliving gynecological ailments. It is a classic TCM formula that modulates liver and spleen and dispels blood stasis and water retention. Since the late 1980s when Japanese researchers reported its therapeutic effect on AD， it has been widely used in the clinic with clear effects. The elucidation of the mechanism of this formula helps exert its effects. Hereby， this paper reviewed relative research progress and made an analysis in terms of attenuating aberrant accumulation of Aβ and hyperphosphorylated Tau protein， anti-inflammatory and antioxidant activities， mediating neurotransmitters， ameliorating lipid metabolism， modulating gut microbiota， reduced neuron apoptosis， decreasing intracellular Ca²⁺ overloading， and increasing the expression of estradiol. This paper is expected to provide references for understanding the scientific connotation of DDS in the treatment of AD and lay a solid foundation for further investigation.