Objective:To investigate the epidemiological characteristics and source distribution of newly diagnosed occupational diseases among workers from other provinces in Guangdong Province from 2006 to 2023, providing a basis for occupational health risk assessment and government decision-making.Methods:In July 2024, through the Occupational Disease Report Card of the Occupational Disease and Health Hazard Monitoring Information System of the China Disease Prevention and Control Information System, the basic information of newly diagnosed occupational disease cases reported online in Guangdong Province from 2006 to 2023 was collected, and the epidemiological characteristics of new occupational diseases among workers from other provinces were described. The locations of employment units and their source provinces of different cases were analyzed. Counting data were described by component ratio (%) and compared by Pearson χ2 test. Results:From 2006 to 2023, 9763 cases of newly diagnosed occupational diseases among workers from other provinces in Guangdong Province were reported, accounting for 78.82% (9763/12387) of the total number of occupational diseases in the province. The cases of occupational diseases were mainly concentrated in the Pearl River Delta region (94.93%, 9268/9763) and the manufacturing industry (86.97%, 8491/9763), and the domestic enterprises accounted for 57.35% (5593/9753). Newly diagnosed occupational disease cases were mainly from province A in Central China (2767 cases, 28.34%), province A in Southwest China (2323 cases, 23.79%) and a province in South China (1070 cases, 10.96%) .Conclusion:The proportion of newly diagnosed occupational diseases among workers from other provinces in Guangdong Province is relatively high, and the cases are concentrated in the regions, industries and source provinces.

Trophoblast cell surface antigen 2 (Trop2) is a transmembrane glycoprotein. It promotes development and coordinates intracellular calcium signal transduction in healthy tissues, but is overexpressed in a variety of solid malignant tumors (such as gastrointestinal tumors, ovarian cancer, prostate cancer, and breast cancer). Moreover, it is closely associated with poor tumor prognosis and metastasis risk. As a powerful tool, molecular imaging technology can directly characterize and quantify the molecular metabolic changes after the combination of probes and targets through imaging technology at the in vivo level. It has become a key technology for Trop2 research and plays an important role in specific diagnosis, tumor staging, and therapeutic effect monitoring. A variety of Trop2-targeted molecular probes based on monoclonal antibodies, antibody-drug conjugates, and antibody fragments have been used in preclinical and clinical studies of various solid tumors. This article reviews the latest progress of Trop2-related research in the field of tumor molecular imaging technology.

With technological advancement and the growing demand for renewable energy, research and applications of new energy materials are becoming increasingly widespread. Typical new energy materials include lithium-ion battery materials, nanomaterials, nuclear energy materials and magnetic materials, etc., each of which has special toxicological characteristics. These materials may pose potential toxicological risks in the process of resource exploitation, production, transportation, usage, recycling or disposal, which have negatively impact on human health and the ecological environment. Occupational exposure is the main route of energy materials exposure, with potential health hazards on workers during the processes of production, transportation, recycling, and disposal. Among them, the disassembled batteries in the recycling or waste disposal process requires quality control, which is the high-risk position of occupational hazards. At present, the toxicology study of typical new energy materials mainly focuses on the potential impact of lithium-ion battery materials and nanomaterials on human health and the environment, but there are still limitations and challenges. In the future, it is necessary to further strengthen the human health risk management and prevention and control of new energy materials to protect human health and sustainable development.

Objective To analyze the epidemiological characteristics of newly diagnosed occupational chemical poisoning (OCP) cases in Guangdong Province from 2006 to 2023. Methods The basic information of newly diagnosed OCP cases in Guangdong Province from 2006 to 2023 was collected from the Occupational Disease Report Card of the occupational disease network reporting system in China. The epidemiological characteristics were analyzed by the descriptive epidemiological methods. Results A total of 2 201 newly diagnosed OCP cases were reported in Guangdong Province during 2006-2023, showing a fluctuating downward trend with an average annual decrease rate of 6.98%. Occupational acute chemical poisoning (OACP) and occupational chronic chemical poisoning (OCCP) accounted for 18.08% and 81.92% of cases, respectively. Among the OACP cases, the top five disease categories were other OCP, occupational acute 1,2-dichloroethane poisoning, occupational acute dimethylformamide poisoning, occupational acute organophosphate poisoning, and occupational acute hydrogen sulfide poisoning, accounting for 77.14% (307/398). Among the OCCP cases, the top five disease categories were occupational chronic benzene poisoning, occupational chronic n-hexane poisoning, occupational chronic lead poisoning, occupational chronic cadmium poisoning and occupational chronic mercury poisoning, accounting for 97.67% (1 761/1 803), with occupational chronic benzene poisoning being the most prevalent (67.22%). Newly diagnosed OCP cases were predominantly concentrated in the Pearl River Delta region (96.00%), particularly in Dongguan City, Shenzhen City, and Guangzhou City, accounting for 69.29%. The cases mainly occurred in the manufacturing industry, domestically funded enterprises, and small- and medium-sized enterprises, accounting for 93.82%, 54.98%, and 70.88%, respectively. Males accounted for 52.57% of cases, individuals aged <50 years accounted for 91.32%, and workers with <5 years of service accounted for 60.29%. There were significant differences in the distribution of gender, age and length of service between the OACP and OCCP cases (all P<0.01). Conclusion The newly diagnosed OCP cases in Guangdong Province demonstrates a pattern characterized by concentration in disease types, geographic regions, industries, enterprise types, and affected populations, along with a high level of social risk, which was summarized as the feature of "five areas of concentrations and one high-risk factor".

Objective To analyze the influencing factors of hospitalization costs in patients with occupational noise-induced deafness (ONID), and provide evidence for health policy development. Methods A total of 109 ONID patients in a hospital for occupational disease prevention and treatment in Guangdong Province were collected from 2018 to 2022 as the study subjects using a retrospective analysis method. Hospitalization information was collected, and influencing factors of hospitalization costs were analyzed. Results The average hospitalization cost per admission from 2018 to 2022 was 26 948.1, 27 805.0, 25 291.1,20 741.2 and 18 865.1 yuan, respectively, showing a downward trend. Grey relational analysis showed that the top three cost components most closely associated with the average hospitalization cost per admission were treatment expenses, medical service fees, and other expenses, with correlation coefficients of 0.786 1, 0.720 4, and 0.654 3, respectively. Univariate logistic regression analysis indicated that length of hospital stay was the primary influencing factor for average hospitalization cost per admission (P<0.01). Conclusion It is recommended to optimize clinical care pathways, improve diagnostic and treatment techniques, and reduce hospital stay duration, to lower the hospitalization costs of ONID patients.

Objective To analyze the epidemiological characteristics of newly diagnosed occupational diseases in Guangdong Province from 2019 to 2023. Methods Data on newly diagnosed occupational diseases reported in Guangdong Province from 2019 to 2023 were collected from the national occupational disease network reporting system. The spectrum of occupational diseases and their distribution by region, industry, and population were analyzed. Results A total of 4 136 newly diagnosed occupational disease cases were reported in Guangdong Province from 2019 to 2023, showing an overall downward trend. Newly diagnosed cases were classified into eight categories and 53 types of occupational diseases. In terms of the number of cases, the top five categories were occupational diseases of the ear, nose, throat and oral cavity;occupational pneumoconiosis and other respiratory diseases; occupational diseases caused by physical factors; occupational chemical poisoning; and occupational tumors, accounting for 98.62% of all cases. The top ten specific disease types were occupational noise-induced deafness, occupational silicosis, occupational other pneumoconiosis, occupational chronic benzene poisoning, occupational heatstroke, occupational hand-arm vibration disease, occupational coal workers′ pneumoconiosis, occupational welders′ pneumoconiosis, occupational tumor (leukemia caused by benzene exposure), and occupational chronic n-hexane poisoning, accounting for 94.85% of all cases. Most of the cases were distributed in the Pearl River Delta region, accounting for 89.19%; as well as manufacturing industry, accounting for 84.89%. Male cases accounted for 87.02%. Most diagnoses occurred in individuals aged >40-60 years, accounting for 74.73%. Conclusion Newly diagnosed occupational diseases in Guangdong Province from 2019 to 2023 showed the following characteristics: concentration of categories and disease types, polarization of regional distribution, industry clustering, and population difference. The disease spectrum is evolving from a dual-disease predominance toward a multi-disease predominance.

ObjectiveTo explore the role of lead exposure in the phenotypic transformation of vascular smooth muscle cells (VSMC), and to provide new insights for the mechanism of lead impact on vascular lesions. MethodsMouse aortic smooth muscle cells (MOVAS) were divided into a control group (0 μmol·L^-1), low concentration lead groups (0.1, 1, 5, and 10 μmol·L^-1), and high concentration lead groups (15, 25, and50 μmol·L^-1). MTT assays were used to assess the proliferation of the cells, and scratch assays were implicated to measure migration ability of the cells. Fluorescence quantitative PCR was employed to determine levels of mRNA expression for smooth muscle actin α (α⁃SMA), smooth muscle 22 alpha (SM22α), synthetic phenotype-related genes osteopontin (OPN), matrix metalloproteinase 9 (MMP9), and the transcription factor SOX9. Immunoblotting was used to determine levels of protein expression for α-SMA, OPN, and MMP9. ResultsProliferation of MOVAS was observed under the lead ions concentrations of 0‒50 µmol·L^-1, with a significant increase of proliferation compared to the control group at the concentrations of 5‒50 µmol·L^-1 (all P<0.05). The migration ability of cells gradually increased at the concentrations of 0‒10 µmol·L^-1, with a significant increase at 5 (q=4.574, P=0.003) and 10 µmol·L^-1 (q=10.570, P<0.001) compared to the control group. The 10 µmol·L^-1 lead ions significantly reduced the levels of mRNA expression for vascular smooth muscle contractile phenotype genes α⁃SMA (q=7.426, P<0.001) and SM22α (q=4.766, P=0.001), while significantly increasing the levels of mRNA expression for OPN (q=11.330, P<0.001), MMP9 (q=7.842, P<0.001), and SOX9 (q=11.120, P<0.001) genes. Furthermore, the 10 µmol·L^-1 lead ions significantly reduced the levels of protein expression for the vascular smooth muscle contractile phenotype marker α-SMA protein (q=2.897, P=0.049), while significantly increasing the levels of protein expression for the synthetic markers OPN (q=3.188, P=0.031) and MMP9 (q=3.292, P=0.026), compared to the control group. ConclusionTreatment with lead in vitro induced VSMC to differentiate from contractile phenotype to synthetic phenotype, indicating that a certain dose of lead exposure might be detrimental to the cardiovascular system.

Multiple myeloma (MM) is a malignant blood disease, but there have been significant improvements in the prognosis due to advancements in quantitative assessment, immunotherapy, and targeted therapy in recent years. The quantitative assessment of MM bone marrow infiltration and prognosis prediction is influenced by imaging and artificial intelligence (AI) quantitative parameters. At present, the primary imaging methods include computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET). These methods are now crucial for diagnosing MM and evaluating myeloma cell infiltration, extramedullary disease, treatment effectiveness, and prognosis. In addition, the utilization of AI, especially in combination with machine learning and radiomics, has shown great potential in diagnosing and distinguishing MM from solubility transfer. This review discusses the advancements in imaging methods, including CT, MRI, and PET, as well as AI for quantitatively assessing MM. We have summarized the key concepts, advantages, limitations, and diagnostic performance of each technology. Finally, we discussed the challenges related to clinical implementation and presented our views on advancing this field, with the aim of providing guidance for clinical research.

Multiple myeloma (MM) is a malignant blood disease, but there have been significant improvements in the prognosis due to advancements in quantitative assessment, immunotherapy, and targeted therapy in recent years. The quantitative assessment of MM bone marrow infiltration and prognosis prediction is influenced by imaging and artificial intelligence (AI) quantitative parameters. At present, the primary imaging methods include computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET). These methods are now crucial for diagnosing MM and evaluating myeloma cell infiltration, extramedullary disease, treatment effectiveness, and prognosis. In addition, the utilization of AI, especially in combination with machine learning and radiomics, has shown great potential in diagnosing and distinguishing MM from solubility transfer. This review discusses the advancements in imaging methods, including CT, MRI, and PET, as well as AI for quantitatively assessing MM. We have summarized the key concepts, advantages, limitations, and diagnostic performance of each technology. Finally, we discussed the challenges related to clinical implementation and presented our views on advancing this field, with the aim of providing guidance for clinical research.

Trophoblast cell surface antigen 2 (Trop2) is a transmembrane glycoprotein. It promotes development and coordinates intracellular calcium signal transduction in healthy tissues, but is overexpressed in a variety of solid malignant tumors (such as gastrointestinal tumors, ovarian cancer, prostate cancer, and breast cancer). Moreover, it is closely associated with poor tumor prognosis and metastasis risk. As a powerful tool, molecular imaging technology can directly characterize and quantify the molecular metabolic changes after the combination of probes and targets through imaging technology at the in vivo level. It has become a key technology for Trop2 research and plays an important role in specific diagnosis, tumor staging, and therapeutic effect monitoring. A variety of Trop2-targeted molecular probes based on monoclonal antibodies, antibody-drug conjugates, and antibody fragments have been used in preclinical and clinical studies of various solid tumors. This article reviews the latest progress of Trop2-related research in the field of tumor molecular imaging technology.