Publications by authors named "Jinxin Zheng"

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.

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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.

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Background: The emergence of dengue fever has prompted significant public health responses, highlighting the need for a comprehensive understanding of One Health in addressing vector-borne diseases. China's experience in dengue control and prevention programs offers valuable insights into the successful integration of multidisciplinary strategies.

Aims: The review aims to: (1) systematically analyze lessons from China's dengue control and prevention programs, focusing on the integration of these efforts with the One Health approach; (2) underscore the reasons of optimizing the dengue control and prevention program; (3) highlight the alignment of China's dengue control strategies with the One Health framework; (4) contribute to global efforts in combating dengue, providing scientific evidence and strategic recommendations for other regions facing similar challenges.

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  • 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.
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  • 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.
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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.

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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
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  • 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.
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  • - 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.
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One Health is dedicated to maintaining and fostering a dynamic balance among humans, animals, and the environment. Since 2013, it has seen considerable developments globally. This review aims to encapsulate the history of One Health, as well as chart its future trajectory.

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The primary obstacles in the management of and infections are drug resistance and biofilm formation. Our study revealed that loratadine at a concentration of ≥25 μM exhibited significant inhibitory effects on biofilm formation in 167 clinical strains of and 15 clinical isolates of , , and . Additionally, the antibiofilm activity against and was demonstrated by several loratadine derivatives with altered side-chain carbamate moieties.

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Background: Preterm birth and low birth weight (PBLBW), recognised globally as primary contributors to infant mortality in children under five, have not been sufficiently investigated in terms of their worldwide impact. In this study we aimed to thoroughly evaluate the contemporary trends in disease burden attributable to PBLBW.

Methods: We analysed data from 204 countries and territories between 1990-2019, as sourced from the 2019 Global Burden of Disease Study.

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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.

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Background: 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.

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Background: Schistosomiasis japonica represents a significant public health concern in South Asia. There is an urgent need to optimize existing schistosomiasis diagnostic techniques. This study aims to develop models for the different stages of liver fibrosis caused by Schistosoma infection utilizing ultrasound radiomics and machine learning techniques.

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Background: Staphylococcus aureus is a versatile pathogen that can cause a wide range of infections in humans. Biofilms play a crucial role in the pathogenicity of S. aureus and contribute to its ability to cause persistent and chronic infections.

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Background: Post-ERCP pancreatitis is one of the most common adverse events in ERCP-related procedures. The purpose of this study is to construct an online model to predict the risk of post-ERCP pancreatitis in non-elderly patients with common bile duct stones through screening of relevant clinical parameters.

Methods: A total of 919 cases were selected from 7154 cases from a major Chinese tertiary hospital.

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  • 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.
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  • - 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.
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The rapid proliferation of multidrug-resistant (MDR) bacterial pathogens poses a serious threat to healthcare worldwide. Carbapenem-resistant (CR) Enterobacteriaceae, which have near-universal resistance to available antimicrobials, represent a particularly concerning issue. Herein, we report the identification of AMXT-1501, a polyamine transport system inhibitor with antibacterial activity against Gram-positive and -negative MDR bacteria.

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The success of solid organ transplantation (SOT) and the use of immunosuppressive agents offer hope to patients with end-stage diseases. However, the impact of post-transplant diabetes mellitus (PTDM) on SOT patients has become increasingly evident. In our study, we utilized the Scientific Registry of Transplant Recipients (SRTR) database to investigate the association between PTDM and patient survival in various types of organ transplantations, including liver, kidney, intestinal, heart, lung, and combined heart-lung transplantations (all P <0.

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Background: Depression, anxiety and schizophrenia among older persons have become global public health challenges. However, the burden of these disorders in ageing and aged countries has not been analysed.

Aims: To investigate the burden of depression, anxiety and schizophrenia among older adults in ageing and aged countries.

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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.

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Killer 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.

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