Publications by authors named "Zheng Jin-Xin"
Background: Vector-borne parasitic infectious diseases associated with poverty (referred to as vb-pIDP), such as malaria, leishmaniasis, lymphatic filariasis, African trypanosomiasis, Chagas disease, and onchocerciasis, are highly prevalent in many regions around the world. This study aims to characterize the recent burdens of and changes in these vb-pIDP globally and provide a comprehensive and up-to-date analysis of geographical and temporal trends.
Methods: Data on the prevalence and disability-adjusted life years (DALYs) of the vb-pIDP were retrieved from the Global Burden of Disease, Injuries, and Risk Factors Study (GBD) 2021 for 21 geographical regions and 204 countries worldwide, from 1990-2021.
Objectives: Malaria remains a critical public health challenge, especially in regions like southeastern Tanzania. Understanding the intricate relationship between environmental factors and malaria incidence is essential for effective control and elimination strategies.
Study Design: Cohort study.
Article Synopsis
- Upper respiratory infections (URIs) are prevalent worldwide, making it essential for governments to understanding their impact for effective healthcare planning and resource allocation.
- An analysis of the GBD 2021 data showed a significant decline in various URI metrics (incidence, prevalence, mortality, and disability) from 1990 to 2021, particularly affecting the elderly and young children.
- Future projections indicate a rise in URI incidence and prevalence from 2022 to 2050, while mortality rates are expected to decline, highlighting ongoing public health challenges, especially related to factors like low birth weight.
Article Synopsis
- Autoimmune diseases result from both unchangeable factors like genetics and gender, and changeable factors such as lifestyle and environmental influences; this study explores how modifiable factors have affected the global burden of these diseases from 1990 to 2021.
- The research used data from the Global Burden of Diseases study, focusing on trends in disability-adjusted life-years (DALYs) and examining disparities between different socio-demographic groups using statistical methods.
- Findings indicate an increase in DALYs for type 1 diabetes due to high temperatures, especially in high socio-demographic index (SDI) countries, while other autoimmune diseases show declining trends, highlighting inequalities based on socio-economic status.
Aim: This study aims to elucidate the impact of childhood sexual abuse (CSA) on major depressive disorder (MDD) and alcohol use disorder (AUD) globally, regionally, and nationally, informing targeted public health interventions and policy.
Methods: Using data from the Global Burden of Disease (GBD) Study 2019, we assessed the impact of CSA on MDD and AUD, analyzing disability-adjusted life years (DALYs) per 100,000 population. Our analysis included age, sex, geographic locations, temporal trends in age-standardized rates (ASR), and examined the relationship between the social development index (SDI) and the burden of these disorders.
Evolutionary Modes of wtf Meiotic Driver Genes in Schizosaccharomyces pombe.
Genome Biol Evol
October 2024
Killer meiotic drivers are a class of selfish genetic elements that bias inheritance in their favor by destroying meiotic progeny that do not carry them. How killer meiotic drivers evolve is not well understood. In the fission yeast, Schizosaccharomyces pombe, the largest gene family, known as the wtf genes, is a killer meiotic driver family that causes intraspecific hybrid sterility.
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- * Utilizing data from the Global Burden of Disease Study 2021, the research analyzed trends in incidence, prevalence, mortality, and disability-adjusted life years (DALYs) for various forms of HIV-related TB from 1990 to 2021.
- * In 2021, the rates showed that HIV-DS-TB had the highest incidence and mortality rates compared to HIV-MDR-TB and HIV-XDR-TB, with significant increases in the incidence and mortality of multi-drug resistant and extensively drug-resistant forms over the study
Article Synopsis
- Paragonimiasis is a disease caused by two types of parasites in China, and it's mostly spread through food.
- Many people and animals in China have been infected, especially kids and teens.
- The infections are more common in warm, rainy areas with lower altitudes, and different types of parasites are found in different parts of the country.
Article Synopsis
- - AI is enhancing research on communicable diseases by analyzing climate impacts and identifying new events, particularly as zoonotic and vector-borne diseases expand northward, necessitating better risk assessments and response strategies.
- - AI-driven monitoring systems can track animal populations and environmental changes, improving understanding of disease transmission in various climate scenarios and aiding in drug and vaccine discovery.
- - Collaboration among AI experts, epidemiologists, and other stakeholders is essential to use AI responsibly and effectively, while also ensuring traditional public health measures remain integral in disease management.
Zimbabwe, located in Southern Africa, faces a significant public health challenge due to schistosomiasis. We investigated this issue with emphasis on risk prediction of schistosomiasis for the entire population. To this end, we reviewed available data on schistosomiasis in Zimbabwe from a literature search covering the 1980-2022 period considering the potential impact of 26 environmental and socioeconomic variables obtained from public sources.
View Article and Find Full Text PDFBackground: Severe fever with thrombocytopenia syndrome (SFTS) is an emerging tick-borne zoonosis caused by the SFTS virus (SFTSV). Understanding the prevalence of SFTSV RNA in humans, vertebrate hosts and ticks is crucial for SFTS control.
Methods: A systematic review and meta-analysis were conducted to determine the prevalence of SFTSV RNA in humans, vertebrate hosts and questing ticks.
Article Synopsis
- The study aimed to enhance predictions of dengue fever in Singapore by using machine learning to analyze meteorological data, addressing previous research limitations in understanding the relationship between weather changes and dengue transmission.
- Utilizing weekly data from 2012 to 2022, various machine learning algorithms were tested, with the XGBoost model showing the highest predictive accuracy, strongly relating dengue cases to factors like solar radiation and rainfall.
- The findings indicate that over the past decade, weather conditions have played a crucial role in dengue transmission, emphasizing the importance of using advanced algorithms to identify key environmental predictors.
Article Synopsis
- - This study investigates the distribution and interaction of two neglected tropical diseases, clonorchiasis and opisthorchiasis, caused by the liver flukes Clonorchis sinensis and Opisthorchis viverrini, in Southeast Asia.
- - Researchers compiled extensive data on occurrences of both diseases, using machine learning and environmental data to predict and distinguish endemic areas for each fluke species.
- - The findings indicate that C. sinensis mainly affects southern China and northern Vietnam, while O. viverrini is more widespread across Thailand, Laos, Cambodia, and Vietnam, with key environmental factors determining their distribution.
Objective: Chronic kidney disease (CKD) poses a major global health burden. Early CKD risk prediction enables timely interventions, but conventional models have limited accuracy. Machine learning (ML) enhances prediction, but interpretability is needed to support clinical usage with both in diagnostic and decision-making.
View Article and Find Full Text PDFKiller meiotic drivers (KMDs) skew allele transmission in their favor by killing meiotic progeny not inheriting the driver allele. Despite their widespread presence in eukaryotes, the molecular mechanisms behind their selfish behavior are poorly understood. In several fission yeast species, single-gene KMDs belonging to the wtf gene family exert selfish killing by expressing a toxin and an antidote through alternative transcription initiation.
View Article and Find Full Text PDFBackgrounds: Nonalcoholic fatty liver disease (NAFLD) exhibits a close association with osteoporosis. This work aims to assess the potential effects of NAFLD on the progression of osteopenia in animal models.
Methods: Forty-eight C57BL/6 female mice were randomly divided to wild-type (WT) group and high-fat diet (HFD) group.
Background: Poverty contributes to the transmission of schistosomiasis via multiple pathways, with the insufficiency of appropriate interventions being a crucial factor. The aim of this article is to provide more economical and feasible intervention measures for endemic areas with varying levels of poverty.
Methods: We collected and analyzed the prevalence patterns along with the cost of control measures in 11 counties over the last 20 years in China.
Article Synopsis
- Previous studies suggested a link between inflammatory cytokines and tuberculosis (TB), but this research aimed to clarify that relationship using Mendelian randomization analyses with data from genetic studies and TB cases.
- The analysis found a positive causal relationship between interleukin-7 levels and TB risk, while negative associations were identified for several factors, including macrophage inflammatory protein 1 alpha and interleukins 2 and 2 receptor alpha.
- This study enhances our understanding of TB mechanisms and may lead to new ways to identify potential treatments or interventions.
Background: Blastocystis hominis (Bh) is zoonotic parasitic pathogen with a high prevalent globally, causing opportunistic infections and diarrhea disease. Human immunodeficiency virus (HIV) infection disrupts the immune system by depleting CD4 T lymphocyte (CD4 T) cell counts, thereby increasing Bh infection risk among persons living with HIV (PLWH). However, the precise association between Bh infection risk and HIV-related biological markers and treatment processes remains poorly understood.
View Article and Find Full Text PDFSoil-transmitted helminthiasis in mainland China from 2016 to 2020: a population-based study.
Lancet Reg Health West Pac
July 2023
Background: Soil-transmitted helminthiasis is epidemic in China and many other countries of the world, and has caused substantial burdens to human health. We conducted successive national monitoring in China from 2016 to 2020 to analyze the prevalence, changing trends, and factors influencing soil-transmitted helminthiasis, which provided a reference for future control strategies.
Methods: Soil-transmitted helminth monitoring was carried out in 31 provinces (autonomous regions or municipalities, herein after referred to as "provinces") throughout China.
Background: This study assessed the potential effect of combining micafungin and tobramycin in vitro against biofilms of clinical Pseudomonas aeruginosa isolates.
Methods: Nine biofilm-positive clinical isolates of P. aeruginosa were used in this study.
Background: Current studies on musculoskeletal (MSK) disorders mainly focus on the elderly, while adolescents and young adults (AYAs) are often neglected despite their unique epidemiology, healthcare needs and societal implications. To bridge this gap, we evaluated the global burden and temporal trends of MSK disorders among AYAs from 1990 to 2019, as well as their common categories and main risk factors.
Methods: Data on the global burden and risk factors of MSK disorders were obtained from the Global Burden of Diseases study 2019.
Article Synopsis
- The text references an article that needs correction regarding its Digital Object Identifier (DOI).
- It addresses inaccuracies in the original publication, ensuring that readers can locate the correct version of the article.
- This correction is crucial for maintaining the integrity and reliability of academic resources.
Background: Nonsteroidal anti-inflammatory drugs (NSAIDs) have been widely used in the closure of ductus arteriosus in premature infants. We aimed to develop and validate an interpretable machine-learning model for predicting the efficacy of NSAIDs for closing hemodynamically significant patent ductus arteriosus (hsPDA) in preterm infants.
Methods: We assessed 182 preterm infants ≤ 30 weeks of gestational age first treated with NSAIDs to close hsPDA.
A One Health information database based on standard bibliometric analysis.
Sci One Health
November 2022
Article Synopsis
- One Health is a holistic approach aiming to enhance the health of humans, animals, plants, and the environment, highlighting the need for cross-disciplinary collaboration and research.
- Between 2012 and 2021, a study found over 8,300 publications on One Health, primarily from the U.S. and U.K., indicating a growing interest and a network of 500 experts across 53 countries.
- Establishing a One Health expert database could serve as a valuable resource for tracking academic progress and fostering collaboration in this field.