ABSTRACT
Coronavirus disease 2019 (COVID-19) has infected hundreds of millions of people and killed millions of them. As an RNA virus, COVID-19 is more susceptible to variation than other viruses. Many problems involved in this epidemic have made biosafety and biosecurity (hereafter collectively referred to as 'biosafety') a popular and timely topic globally. Biosafety research covers a broad and diverse range of topics, and it is important to quickly identify hotspots and trends in biosafety research through big data analysis. However, the data-driven literature on biosafety research discovery is quite scant. We developed a novel topic model based on latent Dirichlet allocation, affinity propagation clustering and the PageRank algorithm (LDAPR) to extract knowledge from biosafety research publications from 2011 to 2020. Then, we conducted hotspot and trend analysis with LDAPR and carried out further studies, including annual hot topic extraction, a 10-year keyword evolution trend analysis, topic map construction, hot region discovery and fine-grained correlation analysis of interdisciplinary research topic trends. These analyses revealed valuable information that can guide epidemic prevention work: (1) the research enthusiasm over a certain infectious disease not only is related to its epidemic characteristics but also is affected by the progress of research on other diseases, and (2) infectious diseases are not only strongly related to their corresponding microorganisms but also potentially related to other specific microorganisms. The detailed experimental results and our code are available at https://github.com/KEAML-JLU/Biosafety-analysis.
Subject(s)
COVID-19 , Biosecurity , COVID-19/epidemiology , Containment of Biohazards/methods , Humans , Machine Learning , RNAABSTRACT
PURPOSE: The characteristics of cytokine/chemokine(CK) profiles across different courses of chronic hepatitis B virus infection and the effects of NAs antiviral therapy on cytokine profiles remain unclear. METHODS: This report provides evidence from 383 patients with chronic HBV infection. The Luminex multiple cytokine detection technology was used to detect CK profiles. The predictive power of CKs across course of disease was assessedusing univariate analyses and with receiver operating characteristic (ROC) curves. RESULTS: Compared to healthy control (HC), expression levels of interleukin 6 (IL)-6, IL-8, IL-21, matrix metalloproteinases (MMP)-2 and tumor necrosis factor receptor (TNFR)-1 showed a significant increasing trend during chronic HBV infection. IL-23 and IL-33 increased respectively in chronic hepatitis B patients (CHB). interferon (IFN)-gamma and TNF-α changed significantly only in liver cirrhosis (LC) patients. Whereas, myeloid-related markers decreased dramatically in those with hepatocellular carcinoma (HCC). The ROC result suggests that combining IL-6, IL-8, CXCL9 and CXCL13 into a nomogram has closely correlation with HCC during chronic HBV infection. In addition, nucleotide analogues (NAs) antiviral treatments are capable of recoveringnormal liver functions and significantly reducing the viral loads, however, they seem to have a limited effect in changing CKs, especially specific antiviral factors. CONCLUSION: The differential CK and virological markers may serve as potential indicators of distinct immune statuses in chronic HBV infection. They also underscore the varying efficacy and limitations of NAs antiviral therapies. This next step would to break new ground in the optimization of current anti-HBV treatment programs although this requires further research.
Subject(s)
Carcinoma, Hepatocellular , Hepatitis B, Chronic , Liver Neoplasms , Humans , Hepatitis B virus , Nucleotides , Interleukin-8 , Cytokines/metabolism , Antiviral Agents/therapeutic useABSTRACT
As one of the most neglected zoonotic diseases, brucellosis has posed a serious threat to public health worldwide. This study is purposed to apply different machine learning models to improve the prediction accuracy of human brucellosis (HB) in Shaanxi, China from 2008 to 2020, under livestock husbandry intensification from a spatiotemporal perspective. We quantitatively evaluated the performance and suitability of ConvLSTM, RF, and LSTM models in epidemic forecasting, and investigated the spatial heterogeneity of how different factors drive the occurrence and transmission of HB in distinct sub-regions by using Kernel Density Analysis and Shapley Additional Explanations. Our findings demonstrated that ConvLSTM network yielded the best predictive performance with the lowest average RMSE of 13.875 and MAE values of 18.393. RF model generated an underestimated outcome while LSTM model had an overestimated one. In addition, climatic conditions, intensification of livestock keeping and socioeconomic status were identified as the dominant factors that drive the occurrence of HB in Shaanbei Plateau, Guanzhong Plain, and Shaannan Region, respectively. This work provided a comprehensive understanding of the potential risk of HB epidemics in Northwest China driven by both anthropogenic activities and natural environment, which can support further practice in disease control and prevention.
Subject(s)
Animal Husbandry , Brucellosis , Livestock , Machine Learning , Brucellosis/epidemiology , Brucellosis/veterinary , China/epidemiology , Humans , Animals , Livestock/microbiology , Animal Husbandry/methods , Spatio-Temporal Analysis , Zoonoses/epidemiologyABSTRACT
Varicella is a highly prevalent infectious disease with a similar transmission pathway to coronavirus disease 2019 (COVID-19). In the context of the COVID-19 pandemic, anti-COVID-19 nonpharmaceutical interventions (NPIs) have been implemented to prevent the spread of the infection. This study aims to analyze varicella's epidemiological characteristics and further investigate the effect of anti-COVID-19 NPIs on varicella in Xi'an, northwestern China. Based on the varicella surveillance data, search engine indices, meteorological factors from 2011 to 2021 in Xi'an, and different levels of emergency response to COVID-19 during the pandemic, we applied Bayesian Structural Time Series models and interrupted time series analysis to predict the counterfactual incidence of varicella and quantify the impact of varying NPIs intensities on varicella. From 2011 to 2021, varicella incidence increased, especially in 2019, with a high incidence of 111.69/100 000. However, there was a sharp decrease of 43.18% in 2020 compared with 2019, and the peak of varicella incidence in 2020 was lower than in previous years from the 21st to the 25th week. In 2021, the seasonality of varicella incidence gradually returned to a seasonal pattern in 2011-2019. The results suggest that anti-COVID-19 NPIs effectively reduce the incidence of varicella, and the reduction has spatiotemporal heterogeneity.
Subject(s)
COVID-19 , Chickenpox , Humans , Chickenpox/epidemiology , Chickenpox/prevention & control , Pandemics/prevention & control , Prevalence , Bayes Theorem , COVID-19/epidemiology , COVID-19/prevention & controlABSTRACT
BACKGROUND: Vitamin D plays a crucial role in oral health, and its deficiency is associated to significant changes in oral health diseases. We aimed to explore the relationship between levels of 25-hydroxyvitamin D (25(OH) D) and dental caries in children. METHODS: Four electronic databases were searched by two investigators including PubMed, Embase, Web of Science, and Cochrane Library. Dental caries results were presented as either prevalence or based on the index of primary and permanent teeth/surfaces with decaying, missing, and filled areas, while vitamin D levels were determined through laboratory testing. Two researchers independently selected studies, collected information, assessed risk of bias, and evaluated the study quality. Any disagreements were resolved through discussion. RESULTS: A total of 13 studies were included, comprising 5 cross-sectional studies, 5 cohort studies, 3 case-control studies, all of which had high methodological quality. Our meta-analysis showed that children with vitamin D deficiency had a 22% higher risk of dental caries than those with normal vitamin D levels, with a relative risk (RR) of 1.22 and a 95% confidence interval (CI) of 1.18 to 1. 25. Further subgroup analysis according to the three types of studies showed that the risk of dental caries in children with vitamin D deficiency was higher than that in normal vitamin D level group (cohort studies: 62%; cross-sectional studies, 19%; and case-control studies, 5%). Additionally, according to age, subgroup analysis also showed that the risk of dental caries in children with vitamin D deficiency was higher than that in normal vitamin D level group (permanent teeth studies, 28%; deciduous teeth studies, 68%; and mixed dentition studies 8%). CONCLUSIONS: Levels of 25 (OH) D have been found negatively associated with dental caries in children, indicating that low vitamin D levels may be considered a potential risk factor to this dental disease.
Subject(s)
Dental Caries , Vitamin D Deficiency , Child , Humans , Dental Caries/epidemiology , Dental Caries/etiology , Cross-Sectional Studies , Vitamin D , Dentition, Permanent , Vitamin D Deficiency/complicationsABSTRACT
Growing evidence has shown that anti-COVID-19 nonpharmaceutical interventions (NPIs) can support prevention and control of various infectious diseases, including intestinal diseases. However, most studies focused on the short-term mitigating impact and neglected the dynamic impact over time. This study is aimed to investigate the dynamic impact of anti-COVID-19 NPIs on hand, foot, and mouth disease (HFMD) over time in Xi'an City, northwestern China. Based on the surveillance data of HFMD, meteorological and web search data, Bayesian Structural Time Series model and interrupted time series analysis were performed to quantitatively measure the impact of NPIs in sequent phases with different intensities and to predict the counterfactual number of HFMD cases. From 2013 to 2021, a total number of 172,898 HFMD cases were reported in Xi'an. In 2020, there appeared a significant decrease in HFMD incidence (-94.52%, 95% CI: -97.54% to -81.95%) in the first half of the year and the peak period shifted from June to October by a small margin of 6.74% compared to the previous years of 2013 to 2019. In 2021, the seasonality of HFMD incidence gradually returned to the bimodal temporal variation pattern with a significant average decline of 61.09%. In particular, the impact of NPIs on HFMD was more evident among young children (0-3 years), and the HFMD incidence reported in industrial areas had an unexpected increase of 51.71% in 2020 autumn and winter. Results suggested that both direct and indirect NPIs should be implemented as effective public health measures to reduce infectious disease and improve surveillance strategies, and HFMD incidence in Xi'an experienced a significant rebound to the previous seasonality after a prominent decline influenced by the anti-COVID-19 NPIs.
Subject(s)
COVID-19 , Communicable Diseases , Hand, Foot and Mouth Disease , Bayes Theorem , COVID-19/epidemiology , COVID-19/prevention & control , Child , Child, Preschool , China/epidemiology , Hand, Foot and Mouth Disease/epidemiology , Hand, Foot and Mouth Disease/prevention & control , Humans , Incidence , SeasonsABSTRACT
Currently severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission has been on the rise worldwide. Predicting outcome in COVID-19 remains challenging, and the search for more robust predictors continues. We made a systematic meta-analysis on the current literature from 1 January 2020 to 15 August 2020 that independently evaluated 32 circulatory immunological signatures that were compared between patients with different disease severity was made. Their roles as predictors of disease severity were determined as well. A total of 149 distinct studies that evaluated ten cytokines, four antibodies, four T cells, B cells, NK cells, neutrophils, monocytes, eosinophils and basophils were included. Compared with the non-severe patients of COVID-19, serum levels of Interleukins (IL)-2, IL-2R, IL-4, IL-6, IL-8, IL-10 and tumor necrosis factor α were significantly up-regulated in severe patients, with the largest inter-group differences observed for IL-6 and IL-10. In contrast, IL-5, IL-1ß and Interferon (IFN)-γ did not show significant inter-group difference. Four mediators of T cells count, including CD3+ T, CD4+ T, CD8+ T, CD4+ CD25+ CD127- Treg, together with CD19+ B cells count and CD16+ CD56+ NK cells were all consistently and significantly depressed in severe group than in non-severe group. SARS-CoV-2 specific IgA and IgG antibodies were significantly higher in severe group than in non-severe group, while IgM antibody in the severe patients was slightly lower than those in the non-severe patients, and IgE antibody showed no significant inter-group differences. The combination of cytokines, especially IL-6 and IL-10, and T cell related immune signatures can be used as robust biomarkers to predict disease severity following SARS-CoV-2 infection.
Subject(s)
COVID-19/immunology , SARS-CoV-2/immunology , Antibodies, Viral/immunology , B-Lymphocytes/immunology , COVID-19/pathology , Cytokines/metabolism , Humans , Killer Cells, Natural/immunology , Leukocytes/immunology , Severity of Illness Index , T-Lymphocytes/immunologyABSTRACT
HINTERGRUND UND ZIELE: Ziel dieser Studie war die Untersuchung des Zusammenhangs zwischen Vitiligo und dem metabolischen Syndrom (MetS) sowie dessen relevanten Komponenten. MATERIAL UND METHODEN: Die Datenbanken PubMed, Web of Science, Cochrane Library und Embase wurden von deren Beginn bis zum 30. März 2021 nach relevanten Studien durchsucht. Querschnitts- und Fall-Kontroll-Studien, die entweder die Prävalenz oder die Odds-Ratio [OR] des MetS oder seiner Komponenten bei Vitiligo-Patienten berichteten, wurden eingeschlossen. Die Daten wurden entsprechend der Heterogenität entweder mit einem Zufallseffektmodell oder einem Modell mit festen Effekten gepoolt. ERGEBNISSE: Es wurden 30 Studien mit insgesamt 28.325 Vitiligo-Patienten eingeschlossen. Signifikante Zusammenhänge wurden zwischen Vitiligo und Diabetes mellitus (gepoolte OR, 3,30; 95 %-Konfidenzintervall [KI], 2,10-5,17) sowie zwischen Vitiligo und Adipositas (gepoolte OR, 2,08; 95 %-KI, 1,40-3,11) ermittelt. Die Gesamtprävalenz der Hypertonie bei Patienten mit Vitiligo betrug 19,0 % (95 %-KI, 2,0 %-36,0 %). SCHLUSSFOLGERUNGEN: Unserer Ergebnisse lassen auf einen Zusammenhang zwischen Vitiligo und Diabetes mellitus sowie Hypertonie schließen. Dermatologen wird empfohlen diese Zusammenhänge zu berücksichtigen, um potenzielle Begleiterkrankungen bei Vitiligo-Patienten zeitnah zu identifizieren. Zudem wird Vitiligo-Patienten empfohlen, Parameter wie BMI, Blutzuckerspiegel und Blutdruck zu überwachen und bei auffälligen Veränderungen dieser Parameter unverzüglich einen Spezialisten zu konsultieren.
ABSTRACT
BACKGROUND AND OBJECTIVES: This study aimed to investigate the association of vitiligo with metabolic syndrome (MetS) and its relevant components. MATERIAL AND METHODS: We searched PubMed, Web of Science, Cochrane Library and Embase databases from inception to March 30, 2021, for relevant studies. Cross-sectional and case-control studies that reported either the prevalence or odds ratio [OR] of MetS or its components in vitiligo patients were included. Data were pooled using either random-effects model or fixed-effects model according to the heterogeneity. RESULTS: Thirty studies with a total of 28,325 vitiligo patients were included. Significant associations were found between vitiligo and diabetes mellitus (pooled OR, 3.30; 95 % confidence interval [CI], 2.10-5.17) and between vitiligo and obesity (pooled OR, 2.08; 95 % CI, 1.40-3.11). The overall prevalence of hypertension in the patients with vitiligo was 19.0 % (95 % CI, 2.0 %-36.0 %). CONCLUSIONS: Our findings suggest the association of vitiligo with diabetes mellitus, obesity, and hypertension. It is recommended for dermatologists to take these associations into account so as to identify potential comorbidities promptly in vitiligo patients. Additionally, vitiligo patients are advised to monitor the indexes including BMI, blood glucose, and blood pressure levels and the consultation with specialists is necessary upon abnormal changes of these indexes.
Subject(s)
Diabetes Mellitus , Hypertension , Metabolic Syndrome , Vitiligo , Cross-Sectional Studies , Humans , Metabolic Syndrome/epidemiology , Obesity/epidemiology , Vitiligo/epidemiologyABSTRACT
BACKGROUND: Working in an underground tunnel environment is unavoidable in professions such as miners and tunnel workers, and there is a concern about the health of these workers. Few studies have addressed alterations in the intestinal microbiome of workers within that environment. RESULTS: Fecal samples were collected from the workers before they entered the tunnel (baseline status, BS) and after they left the tunnel (exposed status, ES), respectively (a time period of 3 weeks between them). We analyzed 16S rRNA sequencing to show the changes in microbial composition and self-evaluation of mental health questionnaire was also performed. The results showed that Shannon and Simpson indices decreased significantly from BS to ES. A higher abundance was found in the phylum Actinobacteria, classes Actinobacteria and Deltaproteobacteria, orders Bifidobacteriales, Coriobacteriales, and Desulfovibrionales, families Bifidobacteriaceae, Peptostreptococcaceae, Coriobacteriaceae, Clostridiaceae_1, Desulfovibrionaceae, Pseudomonadaceae, and Microbacteriaceae, and genera Bifidobacterium, Romboutsia, Clostridium sensu stricto, and Leucobacter in ES, while BS showed greater levels of genera Faecalibacterium and Roseburia. The self-evaluation showed that at least one-half of the tunnel workers experienced one or more symptoms of mental distress (inattention, sleeplessness, loss of appetite, headache or dizziness, irritability) after working in the underground tunnel environment. CONCLUSIONS: Collectively, the underground tunnel environment led to alterations in the intestinal microbiome, which might be relevant to symptoms of mental distress in underground-tunnel workers.
Subject(s)
Bacteria/classification , Feces/microbiology , Occupational Stress/microbiology , RNA, Ribosomal, 16S/genetics , Adult , Bacteria/genetics , Bacteria/isolation & purification , DNA, Bacterial/genetics , DNA, Ribosomal/genetics , Female , Gastrointestinal Microbiome , Health Status , Humans , Male , Phylogeny , Young AdultABSTRACT
BACKGROUND At the beginning of the COVID-19 pandemic, a cluster outbreak caused by an imported case from Hubei Province was reported in Xi'an City, Shaanxi Province, China. Ten patients from 2 families and 1 hospital were involved in the transmission. MATERIAL AND METHODS We conducted an epidemiological investigation to identify the cluster transmission of COVID-19. The demographic, epidemiological, clinical, laboratory, and cluster characteristics were described and analyzed. RESULTS From January 27 to February 13, 2020, a total of 10 individuals were confirmed to be infected with SARS-CoV-2 by the nucleic acid testing of nasopharyngeal swabs from 2 families and 1 hospital. Among the confirmed cases, 7 had atypical clinical symptoms and 3 were asymptomatic. The median times from onset to diagnosis and to discharge were 3.5 days (range, 1-5 days) and 19.5 days (range, 16-38 days), respectively. There were 4 patients whose exposure dates were 1, 3, 3, and 2 days earlier than the onset dates of their previous-generation cases, respectively. Four prevention and control measures were effectively used to interrupt the disease transmission. CONCLUSIONS SARS-CoV-2 can be easily transmitted within families and in hospitals, and asymptomatic patients could act as a source of disease transmission. The results of this outbreak at the early epidemic stage support the recommendation that individuals with confirmed COVID-19 and all their close contacts should be subjected to medical quarantined observation and nucleic acid screening as early as possible, even if they do not have any symptoms. Meanwhile, people in high-risk areas should improve their protective measures.
Subject(s)
Asymptomatic Infections/epidemiology , COVID-19/epidemiology , COVID-19/transmission , Carrier State/prevention & control , Carrier State/transmission , Pandemics/prevention & control , SARS-CoV-2/genetics , Adolescent , Adult , Aged , Aged, 80 and over , COVID-19/prevention & control , COVID-19/virology , COVID-19 Nucleic Acid Testing/methods , China/epidemiology , Female , Humans , Male , Mass Screening/methods , Middle Aged , Quarantine/methods , Real-Time Polymerase Chain Reaction , Reverse Transcriptase Polymerase Chain Reaction , Young AdultABSTRACT
BACKGROUND: The unprecedented outbreak of corona virus disease 2019 (COVID-19) infection in Wuhan City has caused global concern; the outflow of the population from Wuhan was believed to be a main reason for the rapid and large-scale spread of the disease, so the government implemented a city-closure measure to prevent its transmission considering the large amount of travel before the Chinese New Year. METHODS: Based on the daily reported new cases and the population-movement data between 1 and 31 January, we examined the effects of population outflow from Wuhan on the geographical expansion of the infection in other provinces and cities of China, as well as the impacts of the city closure in Wuhan using different closing-date scenarios. RESULTS: We observed a significantly positive association between population movement and the number of the COVID-19 cases. The spatial distribution of cases per unit of outflow population indicated that the infection in some areas with a large outflow of population might have been underestimated, such as Henan and Hunan provinces. Further analysis revealed that if the city-closure policy had been implemented 2 days earlier, 1420 (95% confidence interval, 1059-1833) cases could have been prevented, and if 2 days later, 1462 (1090-1886) more cases would have been possible. CONCLUSIONS: Our findings suggest that population movement might be one important trigger for the transmission of COVID-19 infection in China, and the policy of city closure is effective in controlling the epidemic.
Subject(s)
COVID-19/epidemiology , COVID-19/transmission , Coronavirus Infections/epidemiology , Coronavirus Infections/transmission , China/epidemiology , Cities/epidemiology , Confidence Intervals , Humans , PandemicsABSTRACT
BACKGROUND: Brucellosis is a serious public health problem primarily affecting livestock workers. The strong seasonality of the disease indicates that climatic factors may play important roles in the transmission of the disease. However, the associations between climatic variability and human brucellosis are still poorly understood. METHODS: Data for a 14-year series of human brucellosis cases and seven climatic factors were collected in Yulin City from 2005 to 2018, one of the most endemic areas in northern China. Using cross-correlation analysis, the Granger causality test, and a distributed lag non-linear model (DLNM), we assessed the quantitative relationships and exposure-lag-response effects between monthly climatic factors and human brucellosis. RESULTS: A total of 7103 cases of human brucellosis were reported from 2005 to 2018 in Yulin City with a distinct peak between April and July each year. Seasonal fluctuations in the transmission of human brucellosis were significantly affected by temperature, sunshine duration, and evaporation. The effects of climatic factors were non-linear over the 6-month period, and higher values of these factors usually increased disease incidence. The maximum separate relative risk (RR) was 1.36 (95% confidence interval [CI], 1.03-1.81) at a temperature of 17.4 °C, 1.12 (95% CI, 1.03-1.22) with 311 h of sunshine, and 1.18 (95% CI, 0.94-1.48) with 314 mm of evaporation. In addition, the effects of these three climatic factors were cumulative, with the highest RRs of 2.27 (95% CI, 1.09-4.57), 1.54 (95% CI, 1.10-2.18), and 1.27 (95% CI, 0.73-2.14), respectively. CONCLUSIONS: In Yulin, northern China, variations in climatic factors, especially temperature, sunshine duration, and evaporation, contributed significantly to seasonal fluctuations of human brucellosis within 6 months. The key determinants of brucellosis transmission and the identified complex associations are useful references for developing strategies to reduce the disease burden.
Subject(s)
Brucellosis/epidemiology , Seasons , Weather , Brucellosis/diagnosis , China/epidemiology , Humans , Incidence , Public Health/statistics & numerical data , Risk , Seroepidemiologic Studies , TemperatureABSTRACT
Background: Hypertension (HTN), dyslipidemia and hyperhomocysteinemia (HHcy) are risk factors for cardiovascular disease (CVD).Methods: Hypertensive Chinese subjects (n = 228) were enrolled. MTHFR C667T, MTHFR A1298C, MTR A2756G, and MTRR A66G genotypes were determined. Unconditional logistic regression was performed to determine the associations of serum Hcy status and genotypes with HTN and dyslipidemia.Results: The mean age of hypertensive adults was 65.53 ± 9.94 years, including 88 (38.6%) men and 140 (61.4%) women. Patients with MTHFR 667TT and MTRR GG carriers showed higher serum Hcy levels (P = 0.019 and 0.018, respectively), which is associated with higher serum triacylglycerols (TAG) and total cholesterol (TC) levels (P = 0.014 and 0.044, respectively) and a higher risk for hypertriglyceridemia (OR = 1.889, 95% CI: 1.105-3.229, P = 0.020). Compared with low Hcy and MTRR 66AA, those with high Hcy and 66AA or 66AG+GG showed higher odd\s of hypertriglyceridemia (MTRR 66AA+ high Hcy: OR: 2.692, 95% CI: 1.189-6.096, Pcombined = 0.018; MTRR 66AG/GG+ high Hcy: OR: 3.433, 95% CI: 1.517-7.772, Pcombined = 0.003, respectively). Patients with high Hcy and MTHFR 667CC, as well as those with low Hcy and 667CT+TT, showed lower odds of uncontrolled SBP (MTHFR 667CC+ high Hcy: OR: 0.338, 95% CI: 0.115-0.996, Pcombined = 0.049; MTHFR 667CT/TT+ low Hcy: OR: 0.421, 95% CI: 0.193-0.921, Pcombined = 0.030) compared to patients with low Hcy and MTHFR 667CC.Conclusions: Serum Hcy status and Hcy metabolism gene polymorphisms (MTHFR C667T and MTRR A66G) may have synergistic effects on the prevalence of HTN and dyslipidemia.
Subject(s)
Ferredoxin-NADP Reductase/genetics , Homocysteine/blood , Hypertension/genetics , Hypertriglyceridemia/genetics , Methylenetetrahydrofolate Reductase (NADPH2)/genetics , Aged , Asian People/genetics , Cholesterol/blood , Female , Folic Acid , Heterozygote , Humans , Hypertension/blood , Hypertriglyceridemia/blood , Male , Middle Aged , Polymorphism, Single Nucleotide , Risk Factors , Triglycerides/bloodABSTRACT
BACKGROUND: Hand, foot and mouth disease (HFMD) is an infectious disease caused by enteroviruses that has a severely impair for those high incidence countries such as China.The current study aimed to investigate the epidemic pattern of HFMD by time and region in Northwestern China. METHODS: All reported HFMD cases from 2008 to 2015 were collected from local Disease Control and Prevention.The HFMD was diagnosed in accordance with the guidebook provided by the National Health and Family Planning Commission of the People's Republic of China. RESULTS: A total of 154,869 cases of probable HFMD were reported. The overall incidence of HFMD has been increased from 91.68 per 100/000 in 2008 to 335.64 per 100/000 in 2015.The case mortality is decreased from 0.014 per100/000 to 0.011 per 100/000 during the time period. Most HFMD (93.82%) occurred in children younger than 5 years. The seasonal peak of HFMD infections occurred in April-July and September-November and Central regions of Xi'an city were the major locations of the clusters (incidence rate 245.75/100,000; relative risk 1.19, P < 0.01). EVA71 was the predominant enterovirus serotype, accounting for 50.0% of all reported HFMD cases since 2011.The most susceptible group infected by HFMD was children younger than 5 years, especially boys. CONCLUSIONS: Incidence of HFMD has been increasing in the past few years, however, the case fatality is decreasing. Season and region shall be considered as influence factors in the prevention of HFMD.
Subject(s)
Hand, Foot and Mouth Disease/epidemiology , Adolescent , Adult , Aged , Aged, 80 and over , Animals , Child , Child, Preschool , China/epidemiology , Cities , Enterovirus A, Human/classification , Enterovirus A, Human/pathogenicity , Epidemics , Female , Hand, Foot and Mouth Disease/mortality , Hand, Foot and Mouth Disease/virology , Humans , Incidence , Infant , Male , Middle Aged , Mortality , Seasons , SerogroupABSTRACT
Evidence for blood pressure-lowering effects of vitamin C (VC) supplementation in clinical trials is inconsistent and limited studies have examined the effect of VC supplementation on hypertension (HTN) control. In this study, eligible patients were cluster assigned to receive 300 mg VC per day or nothing for 6 months. During the 6-month follow-up period, a questionnaire survey was obtained and standardized blood pressure measurements were performed on all subjects. Oral administration of VC significantly decreased the diastolic blood pressure and pulse pressure with a significant increase in HTN control. After adjusting for confounding variables, treatment with VC was associated with ~ 0.5 risk reduction of uncontrolled HTN in subjects received anti-hypertensive medications, whereas lower indoor and outdoor and ground temperature were significantly associated with an increased risk of uncontrolled HTN in all patients. Our results warrant further studies investigating the mechanisms underlying the association between VC and HTN control.
Subject(s)
Antioxidants/therapeutic use , Ascorbic Acid/therapeutic use , Blood Pressure/drug effects , Essential Hypertension/drug therapy , Essential Hypertension/physiopathology , Temperature , Aged , Antihypertensive Agents/therapeutic use , Dietary Supplements , Female , Humans , Male , Middle Aged , Risk FactorsABSTRACT
The characteristics of life-long persistent infection of hepatitis B virus (HBV) and the prevalence of different genotypes of HBV in China may cause new recombinants. In north-west China, HBV inter-genotype recombinants have been reported frequently over the last decade. Here, we report a B/C inter-genotype recombinant HBV with a novel genome mosaic structure from Lanzhou, a city in north-west China.
Subject(s)
Hepatitis B virus/genetics , Hepatitis B virus/isolation & purification , Hepatitis B/virology , Recombination, Genetic , China , Genotype , Hepatitis B virus/classification , Humans , Molecular Sequence Data , Phylogeny , Viral Proteins/geneticsABSTRACT
BACKGROUND: Hepatitis B (HB) is an important disease worldwide. Almost 350 million people are positive for Hepatitis B virus surface antigen (HBsAg), and one-third of them live in China. According to a nation-wide serosurvey in China in 2006, the prevalence of HBsAg was higher in Northwest China than in other areas. However, the epidemic HBV strains in this area are poorly studied. RESULTS: In this study, 242 complete hepatitis B virus (HBV) genome sequences were obtained from HBV asymptomatic carriers in major cities of Northwest China. The 242 HBV sequences clustered into genotypes B, C and D. Through comparison of the genotype consensus sequences, 158 genotype-dependent positions were observed in P, S and X ORFs. Clinically relevant mutation screening in this study revealed that no HBV antiviral drug resistance mutations were observed and the vaccination failure mutations were heavily underrepresented. CONCLUSIONS: The role of genotype D strains in HBV prevalence should not be ignored in Northwest China. Due to low prevalence of vaccination failure mutations, it can be inferred that the genotype B, C and D strains in Northwest China may have less likelihood of vaccine escape.
Subject(s)
DNA, Viral/genetics , Genetic Variation , Hepatitis B virus/classification , Hepatitis B virus/genetics , Hepatitis B/epidemiology , Hepatitis B/virology , Adolescent , Adult , Carrier State/epidemiology , Carrier State/virology , China/epidemiology , DNA, Viral/chemistry , Female , Genome, Viral , Genotype , Hepatitis B virus/isolation & purification , Humans , Male , Middle Aged , Molecular Epidemiology , Molecular Sequence Data , Prevalence , Sequence Analysis, DNA , Young AdultABSTRACT
Human brucellosis has reemerged in China, with a distinct change in its geographical distribution. The incidence of human brucellosis has significantly risen in inland regions of China. To gain insights into epidemic characteristics and identify factors influencing the geographic spread of human brucellosis, our study utilized the Extreme Gradient Boosting (XGBoost) algorithm and interpretable machine learning techniques. The results showed a consistent upward trend in the incidence of human brucellosis, with a significant increase of 8.20% from 2004 to 2021 (95% CI: 1.70, 15.10). The northern region continued to face a serious human situation, with a gradual upward trend. Meanwhile, the western and southern regions have experienced a gradual spread of human brucellosis, encompassing all regions of China over the past decade. Further analysis using Shapley Additive Explanations (SHAP) demonstrated that higher Gross Domestic Product (GDP) per capita and increased funding for education have the potential to reduce the spread. Conversely, the expansion of human brucellosis showed a positive correlation with bed availability per 1000 individuals, humidity, railway mileage, and GDP. These findings strongly suggest that socioeconomic factors play a more significant role in the spread of human brucellosis than other factors.