Background The global prevalence of obesity is on the rise and is closely associated with various chronic non-communicable diseases such as cardiovascular diseases and diabetes. There is a relative lack of long-term dynamic studies on compound obesity among occupational populations. Objective To explore the changing trends of compound obesity among different occupational groups aged 18–59 years in nine provinces (autonomous regions, municipalities) of China from 1993 to 2018, and to provide a scientific basis for formulating targeted weight management strategies for occupational populations. Methods A total of 34519 employed adults aged 18–59 years from nine waves of the China Health and Nutrition Survey in1993, 1997, 2000, 2004, 2006, 2009, 2011, 2015, and 2018 were included. Obesity types were determined according to the Chinese Adult Weight Management Guidelines. The Joinpoint regression model was used to calculate the average annual percentage change (AAPC) and annual percentage change (APC) of compound obesity rates. Results From 1993 to 2018, the age-standardized compound obesity rate among the occupational population aged 18–59 years showed an upward trend (AAPC=6.24%, 95%CI: 5.09%, 7.41%, P<0.05). The AAPCs (95%CI) for age-standardized compound obesity rates among agricultural workers, blue-collar workers, other occupational groups, service workers, and white-collar workers were 9.55% (7.51%, 11.64%), 6.18% (4.70%, 7.69%), 5.53% (2.27%, 8.90%), 4.07% (2.40%, 5.77%), and 3.89% (2.16%, 5.65%), respectively, with statistically significant differences (P<0.05). Among males, the AAPCs (95%CI) for age-standardized compound obesity rates among agricultural workers, blue-collar workers, other occupational groups, service workers, and white-collar workers were 11.52% (7.71%, 15.47%), 7.28% (6.18%, 8.40%), 5.92% (2.28%, 9.69%), 5.56% (2.11%, 9.12%), and 4.22% (2.33%, 6.15%), respectively, with statistically significant differences (P<0.05). Among females, the AAPCs (95%CI) for age-standardized compound obesity rates among agricultural workers, blue-collar workers, and white-collar workers were 7.45% (6.22%, 8.69%), 3.72% (0.84%, 6.67%), and 2.41% (0.17%, 4.70%), respectively, with statistically significant differences (P<0.05). A turning point was observed in the compound obesity rate among female white-collar workers in 2006, with an APC (95%CI) of 9.69% (5.24%, 14.33%) from 2006 to 2008, showing a statistically significant difference (P<0.05), while no significant trend was found from 1993 to 2006 (P>0.05). No significant trends were observed in the age-standardized compound obesity rates among females in other occupational groups and service workers (P>0.05). Conclusion The compound obesity rate among China's occupational population is increasing rapidly, with the growth rate among agricultural workers being particularly prominent. In 2018, male white-collar workers and female agricultural workers exhibit relatively high compound obesity rates, warranting focused attention. Although the overall growth rate among service workers is slower, the expanding workforce in this sector indicates that obesity remains a serious issue. Targeted occupational health and weight management interventions are needed in the future.

This paper outlines the development of artificial intelligence （AI） and its applications in traditional Chinese medicine （TCM） research， and elucidates the roles and advantages of large language models， knowledge graphs， and natural language processing in advancing syndrome identification， prescription generation， and mechanism exploration. Using spleen-stomach diseases as an example， it demonstrates the empowering effects of AI in classical literature mining， precise clinical syndrome differentiation， efficacy and safety prediction， and intelligent education， highlighting an upgraded research paradigm that evolves from data-driven and knowledge-driven approaches to intelligence-driven models. To address challenges related to privacy protection and regulatory compliance in cross-institutional data collaboration， a "trusted federated evidence-based analysis platform for TCM spleen-stomach diseases" is proposed， integrating blockchain-based smart contracts， federated learning， and secure multi-party computation. The deep integration of AI with privacy-preserving computing is reshaping research and clinical practice in TCM spleen-stomach diseases， providing feasible pathways and a technical framework for building a high-quality， trustworthy TCM big-data ecosystem and achieving precision syndrome differentiation.

AIM: To explore the factors influencing the efficacy of diabetic macular edema(DME)with conbercept and to construct a nomogram prediction model. METHODS:Retrospective analysis. Patients with DME admitted from January 2021 to October 2025 were selected. All patients received intravitreal conbercept injection once monthly for three consecutive months. Subjects were divided into a good response group and a poor response group according to the reduction in central macular thickness(CMT)at 3 mo after treatment. The clinical data of the patients were collected to analyze factors associated with poor response to conbercept therapy in patients with DME, and to construct a nomogram prediction model for identifying poor responders to conbercept treatment among DME patients.RESULTS:A total of 400 DME patients(400 eyes)were included in this study. The response group consisted of 312 patients(312 eyes), with 200 males and 112 females, with an average age of 64.85±5.13 y. The non-response group consisted of 88 patients(88 eyes), with 54 males and 34 females, with an average age of 65.14±4.93 y. There were no differences between the two groups in terms of gender, age, alcohol consumption, smoking status, duration of diabetes, edema classification, disease classification, low-density lipoprotein, HRF, ELM and/or EZ continuity interruption, and SRF(all P>0.05). However, there were differences in DR disease duration, pre-treatment BCVA, high-density lipoprotein, glycated hemoglobin, DRIL, and VMIA(all P<0.05). Multivariate Logistic regression analysis showed that DR disease duration ≥1 y(OR=2.351, 95%CI: 1.360-4.065), poor pre-treatment BCVA(OR=3.432, 95%CI: 1.581-6.988), high glycated hemoglobin(OR=1.656, 95%CI: 1.346-2.038), presence of DRIL(OR=3.115, 95%CI: 1.532-6.333), and presence of VMIA(OR=2.526, 95%CI: 1.445-4.415)were all risk factors for poor response to conbercept treatment in DME patients, while elevated high-density lipoprotein(OR=0.025, 95%CI: 0.004-0.163)was a protective factor for poor response to conbercept treatment in DME patients(P<0.05). ROC analysis showed that the area under the curve(AUC)of the nomogram model for predicting poor response to conbercept treatment in DME patients was 0.817(95%CI: 0.776-0.854), with a sensitivity of 73.86% and a specificity of 78.21%. When the threshold probability was >3%, the nomogram model for predicting poor response to conbercept treatment in DME patients was more favorable for all patient treatment plans. CONCLUSION:The nomogram prediction model constructed in this study is helpful for the clinical early identification of patients with DME who have a high risk of poor response to conbercept treatment, and can provide a reference for the early prevention of poor response to conbercept treatment.

Inflammatory bowel disease(IBD)is a chronic and recurrent intestinal disease,and has become a major global health issue.Individuals with IBD face an elevated risk of developing colorectal cancer(CRC),and recent studies have indicated that mitochondrial dysfunction plays a pivotal role in the pathogenesis of both IBD and CRC.This review covers the pathogenesis of IBD and CRC,focusing on mitochondrial dysfunction,and explores pharmacological targets and strategies for addressing both conditions by modulating mitochondrial function.Additionally,recent advancements in the phar-macological modulation of mitochondrial dysfunction for treating IBD and CRC,encompassing mitochondrial damage,release of mitochondrial DNA(mtDNA),and impairment of mitophagy,are thoroughly summarized.The review also provides a systematic overview of natural compounds(such as flavonoids,alkaloids,and diterpenoids),Chinese medicines,and intestinal microbiota,which can alleviate IBD and attenuate the progression of CRC by modulating mitochondrial function.In the future,it will be imperative to develop more practical methodologies for real-time monitoring and accurate detection of mitochondrial function,which will greatly aid scientists in identifying more effective agents for treating IBD and CRC through modulation of mitochondrial function.

Inflammatory bowel disease (IBD) is a chronic and recurrent intestinal disease, and has become a major global health issue. Individuals with IBD face an elevated risk of developing colorectal cancer (CRC), and recent studies have indicated that mitochondrial dysfunction plays a pivotal role in the pathogenesis of both IBD and CRC. This review covers the pathogenesis of IBD and CRC, focusing on mitochondrial dysfunction, and explores pharmacological targets and strategies for addressing both conditions by modulating mitochondrial function. Additionally, recent advancements in the pharmacological modulation of mitochondrial dysfunction for treating IBD and CRC, encompassing mitochondrial damage, release of mitochondrial DNA (mtDNA), and impairment of mitophagy, are thoroughly summarized. The review also provides a systematic overview of natural compounds (such as flavonoids, alkaloids, and diterpenoids), Chinese medicines, and intestinal microbiota, which can alleviate IBD and attenuate the progression of CRC by modulating mitochondrial function. In the future, it will be imperative to develop more practical methodologies for real-time monitoring and accurate detection of mitochondrial function, which will greatly aid scientists in identifying more effective agents for treating IBD and CRC through modulation of mitochondrial function.

Objective To analyze the distribution of platelet antibodies in hospitalized patients and explore the clinical significance of platelet antibody detection. Methods A total of 95 987 hospitalized patient cases from a tertiary hospital in Xi'an from April 1, 2021 to December 31, 2023 were collected. Platelet antibodies were detected by solid-phase agglutination method. Statistical analysis was performed on variables including gender, age, blood type, department, history of blood transfusion, pregnancy history, and disease type. Results Among 95 987 hospitalized patients, the positive rate of platelet antibody detection reached 4.35%. The positive rate of platelet antibodies in female hospitalized patients (5.29%) was higher than that in male patients (3.31%), and the difference was statistically significant (x²=224.124). The positive rate of platelet antibodies in those with pregnancy history (7.92%) was higher than that in those without pregnancy history (4.19%), and the difference was significant (x²=292.773). Similarly, the positive rate of platelet antibodies in those with transfusion history (7.79%) was higher than that in those without transfusion history (3.97%), and the difference was significant (x²=300.209). There was a significant correlation between the positive rate of platelet antibodies and the number of pregnancies (x²=91.061). Conclusion The positive rate of platelet antibodies in 95 987 inpatient cases was 4.35%. The positive rate of platelet antibodies had a close relationship with a history of blood transfusions and pregnancies, and it increased with the number of pregnancies. For patients with multiple transfusion histories and pregnancy histories, screening for platelet antibodies holds significant diagnostic value.
Humans ; Female ; Male ; Adult ; Middle Aged ; Blood Platelets/immunology* ; Inpatients ; Aged ; Pregnancy ; Young Adult ; Adolescent ; Aged, 80 and over ; Autoantibodies/blood*

HDAC7, a member of class IIa HDACs, plays a pivotal regulatory role in tumor, immune, fibrosis, and angiogenesis, rendering it a potential therapeutic target. Nevertheless, due to the high similarity in the enzyme active sites of class IIa HDACs, inhibitors encounter challenges in discerning differences among them. Furthermore, the substitution of key residue in the active pocket of class IIa HDACs renders them pseudo-enzymes, leading to a limited impact of enzymatic inhibitors on their function. In this study, proteolysis targeting chimera (PROTAC) technology was employed to develop HDAC7 drugs. We developed an exceedingly selective HDAC7 PROTAC degrader B14 which showcased superior inhibitory effects on cell proliferation compared to TMP269 in various diffuse large B cell lymphoma (DLBCL) and acute myeloid leukemia (AML) cells. Subsequent investigations unveiled that B14 disrupts BCL6 forming a transcriptional inhibition complex by degrading HDAC7, thereby exerting proliferative inhibition in DLBCL. Our study broadened the understanding of the non-enzymatic functions of HDAC7 and underscored the importance of HDAC7 in the treatment of hematologic malignancies, particularly in DLBCL and AML.

Objective:To determine whether spinal cord injury (SCI) triggers secondary neuroinflammation and neuronal injury in remote brain regions by impairing the drainage function of the meningeal lymphatic vessels (MLVs).Methods:Fifty-two female C57BL/6 mice were assigned with the random number table into four groups ( n=13 per group): sham group, SCI group, adeno-associated virus negative control group (negative control group), and adeno-associated virus overexpressing VEGF-C group (VEGF-C group). The sham group underwent laminectomy without spinal cord injury. In the SCI group, negative control group and VEGF-C group, T 9 contusion was made to establish the SCI models using a modified Allen′s impactor. At 4 weeks before SCI modeling, the negative control group and VEGF-C group were injected via the cisterna magna with 3 μl adeno-associated virus for negative control or adeno-associated virus for VEGF-C overexpression. At 56 days after injury, Alexa Fluor? 647 ovalbumin conjugate (OVA-647) was injected via the cisterna magna as a tracer. Two hours later, the proportion of OVA-647 in the deep cervical lymph nodes (dCLN) was detected. Immunofluorescence was performed to assess the proportion of MLVs marker lymphatic vessel endothelial hyaluronan receptor-1 (LYVE-1) and expression levels of microglial marker ionized calcium-binding adaptor molecule 1 (Iba1) in the cerebral cortex, hippocampus, midbrain, and thalamus across the experimental groups. ELISA was employed to quantify the levels of tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β) and Nissl staining was used to assess neuronal counts in these regions. Results:At 56 days after injury, the OVA-647 proportion in the dCLN was higher in the sham group than that in the SCI group and negative control group ( P<0.01), whereas the SCI group and negative control group showed a lower OVA-647 proportion in the dCLN than the VEGF-C group ( P<0.05). At 56 days after injury, the dural LYVE-1 proportion was higher in the sham group than that in the SCI group and negative control group ( P<0.01), whereas it was lower in the SCI group and negative control group than that in the VEGF-C group ( P<0.05). At 56 days after injury, the count of Iba1-positive microglia across all the above-mentioned regions was increased in the SCI group and negative control group ( P<0.01), compared with that in the sham group, whereas it was reduced in these regions in the VEGF-C group, compared with that in the SCI group and negative control group ( P<0.01). At 56 days after injury, TNF-α and IL-1β levels in these regions were both elevated in the SCI group and negative control group when compared with those in the sham group ( P<0.05), whereas they were reduced in the VEGF-C group, compared with those in the SCI group and negative control group ( P<0.05). At 56 days after injury, neuronal survival in the regions was decreased in the SCI group and negative control group, compared with that in the sham group ( P<0.05), whereas it was increased in the VEGF-C group, compared with that in the SCI group and negative control group ( P<0.05). Conclusion:SCI can induce secondary neuroinflammation and neuronal damage in remote brain regions by impairing the drainage function of MLVs.

Objective:To determine whether spinal cord injury (SCI) triggers secondary neuroinflammation and neuronal injury in remote brain regions by impairing the drainage function of the meningeal lymphatic vessels (MLVs).Methods:Fifty-two female C57BL/6 mice were assigned with the random number table into four groups ( n=13 per group): sham group, SCI group, adeno-associated virus negative control group (negative control group), and adeno-associated virus overexpressing VEGF-C group (VEGF-C group). The sham group underwent laminectomy without spinal cord injury. In the SCI group, negative control group and VEGF-C group, T 9 contusion was made to establish the SCI models using a modified Allen′s impactor. At 4 weeks before SCI modeling, the negative control group and VEGF-C group were injected via the cisterna magna with 3 μl adeno-associated virus for negative control or adeno-associated virus for VEGF-C overexpression. At 56 days after injury, Alexa Fluor? 647 ovalbumin conjugate (OVA-647) was injected via the cisterna magna as a tracer. Two hours later, the proportion of OVA-647 in the deep cervical lymph nodes (dCLN) was detected. Immunofluorescence was performed to assess the proportion of MLVs marker lymphatic vessel endothelial hyaluronan receptor-1 (LYVE-1) and expression levels of microglial marker ionized calcium-binding adaptor molecule 1 (Iba1) in the cerebral cortex, hippocampus, midbrain, and thalamus across the experimental groups. ELISA was employed to quantify the levels of tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β) and Nissl staining was used to assess neuronal counts in these regions. Results:At 56 days after injury, the OVA-647 proportion in the dCLN was higher in the sham group than that in the SCI group and negative control group ( P<0.01), whereas the SCI group and negative control group showed a lower OVA-647 proportion in the dCLN than the VEGF-C group ( P<0.05). At 56 days after injury, the dural LYVE-1 proportion was higher in the sham group than that in the SCI group and negative control group ( P<0.01), whereas it was lower in the SCI group and negative control group than that in the VEGF-C group ( P<0.05). At 56 days after injury, the count of Iba1-positive microglia across all the above-mentioned regions was increased in the SCI group and negative control group ( P<0.01), compared with that in the sham group, whereas it was reduced in these regions in the VEGF-C group, compared with that in the SCI group and negative control group ( P<0.01). At 56 days after injury, TNF-α and IL-1β levels in these regions were both elevated in the SCI group and negative control group when compared with those in the sham group ( P<0.05), whereas they were reduced in the VEGF-C group, compared with those in the SCI group and negative control group ( P<0.05). At 56 days after injury, neuronal survival in the regions was decreased in the SCI group and negative control group, compared with that in the sham group ( P<0.05), whereas it was increased in the VEGF-C group, compared with that in the SCI group and negative control group ( P<0.05). Conclusion:SCI can induce secondary neuroinflammation and neuronal damage in remote brain regions by impairing the drainage function of MLVs.

Objective:This study aims to explore the possible development path of hospital research assistants in China based on the cognition of the demand and management status quo from research management personnel in tertiary hospitals.Methods:62 scientific research management personnel from all over the country were surveyed, data about their cognition and the current status of scientific research assistants, that including the willingness of employ, position cognition, eligibility and competence, quantity and efficiency, management implementation, influencing factors and difficulties in team development, were collected and analyzed. Regarding to the practical needs and management status, the results were described by frequency, percentage and average score, and the rank sum test was used to verify whether there was any difference in the employment intention between the management department and the project team in the cognition of the survey subjects.Results:From the perspective of scientific research managers, there is a strong willingness at hospital level to employ the research assistant, positions require applicants with bachelor′s degree or above in medicine or other related majors. The most urgent needs are management of project funds, equipment and consumables, research integrity and ethics.The interviewees who work with research assistants think that the effect of research assistants on improving scientific research efficiency is obvious.However, the percentage of formulation of research assistants management measures is less than 40%, and the percentages of uniformly organized training and assessment are relatively low. There are still problems and challenges, such as incomplete cognition of the positioning and function, incomplete functional and vocational system, imperfect incentive mechanism and insufficient support for ability cultivation and improvement.Conclusions:It′s necessary to strengthen the top-down design of the development of scientific research assistant team and the construction of career system, improve the management basis and implementation mechanism, supporting resources should be in place, and promote capacity building system in order to develop a long-term mechanism of mutual promotion between the team building of scientific research assistants and the innovation of hospital scientific research management.