OBJECTIVE: This study aimed to identify high-risk areas for type 2 diabetes mellitus (T2DM) mortality to provide relevant evidence for interventions in emerging economies. METHODS: Empirical Bayesian Kriging and a discrete Poisson space-time scan statistic were applied to identify the spatiotemporal clusters of T2DM mortality. The relationships between economic factors, air pollutants, and the mortality risk of T2DM were assessed using regression analysis and the Poisson Log-linear Model. RESULTS: A coastal district in East Guangdong, China, had the highest risk (Relative Risk [RR] = 4.58, P < 0.01), followed by the 10 coastal districts/counties in West Guangdong, China (RR = 2.88, P < 0.01). The coastal county in the Pearl River Delta, China (RR = 2.24, P < 0.01), had the third-highest risk. The remaining risk areas were two coastal counties in East Guangdong, 16 districts/counties in the Pearl River Delta, and two counties in North Guangdong, China. Mortality due to T2DM was associated with gross domestic product per capita (GDP per capita). In pilot assessments, T2DM mortality was significantly associated with carbon monoxide. CONCLUSION High mortality from T2DM occurred in the coastal areas of East and West Guangdong, especially where the economy was progressing towards the upper middle-income level.
Diabetes Mellitus, Type 2/epidemiology* ; China/epidemiology* ; Humans ; Risk Factors ; Spatio-Temporal Analysis ; Air Pollutants/analysis* ; Socioeconomic Factors ; Bayes Theorem ; Female ; Male ; Middle Aged

Objective Recombinase-aided polymerase chain reaction(RAP)is a sensitive,single-tube,two-stage nucleic acid amplification method.This study aimed to develop an assay that can be used for the early diagnosis of three types of bacteremia caused by Staphylococcus aureus(SA),Pseudomonas aeruginosa(PA),and Acinetobacter baumannii(AB)in the bloodstream based on recombinant human mannan-binding lectin protein(M1 protein)-conjugated magnetic bead(M1 bead)enrichment of pathogens combined with RAP. Methods Recombinant plasmids were used to evaluate the assay sensitivity.Common blood influenza bacteria were used for the specific detection.Simulated and clinical plasma samples were enriched with M1 beads and then subjected to multiple recombinase-aided PCR(M-RAP)and quantitative PCR(qPCR)assays.Kappa analysis was used to evaluate the consistency between the two assays. Results The M-RAP method had sensitivity rates of 1,10,and 1 copies/μL for the detection of SA,PA,and AB plasmids,respectively,without cross-reaction to other bacterial species.The M-RAP assay obtained results for<10 CFU/mL pathogens in the blood within 4 h,with higher sensitivity than qPCR.M-RAP and qPCR for SA,PA,and AB yielded Kappa values of 0.839,0.815,and 0.856,respectively(P<0.05). Conclusion An M-RAP assay for SA,PA,and AB in blood samples utilizing M1 bead enrichment has been developed and can be potentially used for the early detection of bacteremia.

The metal element probe labeling strategy involves marking biomolecules with metal elements as signal-generating units and performing quantitative analysis of biomolecules through inductively coupled plasma mass spectrometry(ICP-MS).The combination of metal element labeling and ICP-MS technology offers significant advantages,including high sensitivity,high resolution,and low matrix effects,thereby expanding the approaches for quantitative analysis of biomolecules.This strategy has been widely applied in bioanalysis for broad purposes including disease diagnosis(or predication)and environmental regulation.Such an approach enables sensitive analysis and simultaneous detection of multiple components while overcoming interference from complex biological environments,presenting substantial application prospects.Over the past two decades,numerous research works have been reported in this area.Based on the abovementioned characteristics of the metal element labeling strategy,in this paper,the development of current labeling strategies based on metal element probe labeling were systematically reviewed,the advantages and disadvantages were discussed,the applications in high-sensitivity analysis and multiplex detection of biomolecules were reviewed,and an outlook on future development trends of this technology was provided.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

Chronic inflammatory reaction has been established as an important sign of the occurrence and development of diabetes mellitus (DM), accompanied by the production of a large number of inflammatory factors, thus aggravating the disease progression. As an important non-invasive intervention measure to inhibit inflammation, exercise plays a very important role in the amelioration of DM. NOD-like receptor protein 3 (NLRP3) inflammasome, a regulatory factor of inflammatory response, can induce a variety of inflammatory cascades and cell death, which are closely related to glucose uptake and dyslipidemia regulation. The development of DM can be postponed with exercise. Previous studies have reported the effects of NLRP3 inflammasome on DM, but the crucial role of exercise in this process remains unclear. Therefore, this paper reviews the research progress on the improving effects of exercise intervention on the symptoms of DM by mediating NLRP3 inflammasome, providing a novel theoretical foundation for understanding the prevention and treatment of DM through exercise.
Humans ; Inflammasomes/metabolism* ; NLR Family, Pyrin Domain-Containing 3 Protein/metabolism* ; NLR Proteins ; Diabetes Mellitus ; Inflammation ; Exercise Therapy

Japanese encephalitis (JE) virus is the leading cause of vaccine-preventable encephalitis in Asia and the Western Pacific, which mainly invades central nervous system. Vaccination is the most important strategy to prevent JE. Currently, both live attenuated Japanese encephalitis vaccines (JE-L) and inactivated vaccines (JE-I) are in use. Due to the supply of vaccines and the personal choice of recipients, there will be a demand for interchangeable immunization of these two vaccines. However, relevant research is limited. By reviewing domestic and foreign research evidence, this article summarizes the current situation of the interchangeable use of JE-L and JE-I, and makes recommendations when the interchangeable immunization is in urgent need, so as to provide reference for practical vaccination and policymaking in China.
Encephalitis Virus, Japanese ; Encephalitis, Japanese/prevention & control* ; Humans ; Immunization ; Japanese Encephalitis Vaccines ; Vaccination ; Vaccines, Inactivated

Estimating the actual real-world effectiveness of the vaccine is an essential part of the post-marketing evaluation. This regression discontinuity design (RDD) using observational data is designed to quantify the effect of an intervention when eligibility for the intervention is based on a defined cutoff as age, making it suited to estimate vaccine effects. This approach can avoid the high cost and ethical issues; overcome difficulties in the organization and practice process in randomized controlled trials, which leads to a higher level of causal inference evidence and more realistic results. Here, we describe key features of RDD in general, and then specific scenarios, with examples, to illustrate that RDD are an essential tool for advancing our understanding of vaccine effects.
Causality ; Humans ; Vaccine Efficacy ; Vaccines

ObjectiveTo explore the underlying molecular mechanism of Xiaochuanning granules in the treatment of bronchial asthma based on the network pharmacology and experimental verification through the phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt） signaling pathway on ovalbumin （OVA） sensitization-induced bronchial asthma model in rats. MethodThe main active ingredients and targets of Xiaochuanning Granules were screened out from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP） and Bioinformatics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine （BATMAN-TCM）. The targets related to bronchial asthma were obtained from five disease databases such as GeneCards and Online Mendelian Inheritance in Man （OMIM）. The common targets were screened out through the Venn diagram. STRING was used to construct the protein-protein interaction （PPI） network of "compound-disease"， and Cytoscape 3.8.0 was used to establish a network of key active ingredients of Xiaochuanning granules and core target genes （"ingredient-gene" network）. Gene Ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analyses were performed through DAVID. The bronchial asthma model was induced by OVA stimulation in rats. Bronchial and lung tissue inflammation was observed by hematoxylin-eosin （HE） staining， and the enrichment analysis results of the network pharmacology were verified by Western blot. ResultIn this experiment， 232 active ingredients and 4 687 related targets of Xiaochuanning granules were screened out， and 233 common targets of Xiaochuanning granules and bronchial asthma were collected， including eosinophil-derived neurotoxin 1 （EDN1）， cyclic AMP response element-binding protein 1 （CREB1）， cyclin-dependent kinase inhibitor 1A （CDKN1A）， epidermal growth factor receptor （EGFR）， mitogen-activated protein kinase 14 （MAPK14）， and Akt1. KEGG pathway analysis revealed 186 related signaling pathways， indicating that the PI3K/Akt signaling pathway presumedly played a key role in the treatment of bronchial asthma by Xiaochuanning granules. The animal experiment showed that Xiaochuanning granules relieved the airway inflammation and smooth muscle hyperplasia in rats and down-regulated the gene expression of PI3K and Akt as compared with the conditions in the model group （P<0.05）. ConclusionXiaochuanning granules have the characteristics of multi-component， multi-target， and multi-pathway synergistic effect in the treatment of asthma. Xiaochuanning granules may exert anti-inflammatory effects by regulating the expression of genes related to the PI3K/Akt signaling pathway. The present study is expected to provide a theoretical basis for follow-up in-depth research on the complex mechanism of Xiaochuanning granules in the treatment of bronchial asthma.

OBJECTIVE: To obtain the subtypes of the clinical hypertension population based on symptoms and to explore the relationship between hypertension and comorbidities. METHODS: The data set was collected from the Chinese medicine (CM) electronic medical records of 33,458 hypertension inpatients in the Affiliated Hospital of Shandong University of Traditional Chinese Medicine between July 2014 and May 2017. Then, a hypertension disease comorbidity network (HDCN) was built to investigate the complicated associations between hypertension and their comorbidities. Moreover, a hypertension patient similarity network (HPSN) was constructed with patients' shared symptoms, and 7 main hypertension patient subgroups were identified from HPSN with a community detection method to exhibit the characteristics of clinical phenotypes and molecular mechanisms. In addition, the significant symptoms, diseases, CM syndromes and pathways of each main patient subgroup were obtained by enrichment analysis. RESULTS: The significant symptoms and diseases of these patient subgroups were associated with different damaged target organs of hypertension. Additionally, the specific phenotypic features (symptoms, diseases, and CM syndromes) were consistent with specific molecular features (pathways) in the same patient subgroup. CONCLUSION The utility and comprehensiveness of disease classification based on community detection of patient networks using shared CM symptom phenotypes showed the importance of hypertension patient subgroups.