Obesity, as a chronic recurrent disease, has become a major public health challenge in China. To implement the requirements of the Healthy China Initiative (2019—2030), under domestic guidelines or consensus statements on overweight and obesity, and in alignment with the latest scientific advances globally, the Quality control protocol for adult overweight and obesity screening in health management (examination) institutions (2025 edition) was developed. This protocol was drafted by the Health Management Center of Shanghai Changzheng Hospital and formulated through multiple rounds of deliberation by experts in China’s health examination quality control field. The protocol establishes unified standards for screening facilities, personnel qualifications, and measurement or testing procedures. It defines specific screening items, outlines a standardized screening pathway, and sets requirements for the final medical review, ensuring the scientific validity, effectiveness, and safety of the screening process. The implementation of this protocol will enhance the consistency of weight management practices for adults across health examination institutions and strengthen the quality control of overweight and obesity screening programs.

Pyroptosis is an identified programmed cell death that has been highly linked to endoplasmic reticulum (ER) dynamics. However, the crucial proteins for modulating dynamic ER membrane curvature change that trigger pyroptosis are currently not well understood. In this study, a biotin-labeled chemical probe of potent pyroptosis inducer α-mangostin (α-MG) was synthesized. Through protein microarray analysis, reticulon-4 (RTN4/Nogo), a crucial regulator of ER membrane curvature, was identified as a target of α-MG. We observed that chemically induced proteasome degradation of RTN4 by α-MG through recruiting E3 ligase UBR5 significantly enhances the pyroptosis phenotype in cancer cells. Interestingly, the downregulation of RTN4 expression significantly facilitated a dynamic remodeling of ER membrane curvature through a transition from tubules to sheets, consequently leading to rapid fusion of the ER with the cell plasma membrane. In particular, the ER-to-plasma membrane fusion process is supported by the observed translocation of several crucial ER markers to the "bubble" structures of pyroptotic cells. Furthermore, α-MG-induced RTN4 knockdown leads to pyruvate kinase M2 (PKM2)-dependent conventional caspase-3/gasdermin E (GSDME) cleavages for pyroptosis progression. In vivo, we observed that chemical or genetic RTN4 knockdown significantly inhibited cancer cells growth, which further exhibited an antitumor immune response with anti-programmed death-1 (anti-PD-1). In translational research, RTN4 high expression was closely correlated with the tumor metastasis and death of patients. Taken together, RTN4 plays a fundamental role in inducing pyroptosis through the modulation of ER membrane curvature remodeling, thus representing a prospective druggable target for anticancer immunotherapy.
Pyroptosis/immunology* ; Humans ; Endoplasmic Reticulum/immunology* ; Animals ; Nogo Proteins/antagonists & inhibitors* ; Mice ; Cell Line, Tumor ; Xanthones/pharmacology* ; Neoplasms/pathology* ; Mice, Nude

Hypokalemia,a common clinical electrolyte disorder,can affect multiple systems and can be life-threatening in severe cases.Identifying the cause of hypokalemia is crucial for its prevention and treatment.However,the etiology of hypokalemia is complex and often requires detailed differential diagnosis.This article reports a rare clinical case of hypokalemia caused by long-term excessive consumption of strong tea and discusses its pathogenesis.The aim is to raise clinical awareness and understanding of the etiology of such cases of hypokalemia and reduce misdiagnosis and missed diagnosis.

Objective:To explore the application effectiveness of the large language model DeepSeek in the cultivation of clinical thinking skills for medical laboratory technology students.Methods:A non-randomized controlled study was conducted. In the 2024-2025 academic year, two classes of second-year medical laboratory technology students from Hubei University of Chinese Medicine were selected and divided into a DeepSeek-assisted teaching group (Class A, n=53) and a traditional teaching control group (Class B, n=53), totaling 106 students. Both groups followed a 20-week problem-based learning (PBL) framework with identical teaching content, instructors, and class hours. Class A utilized DeepSeek via the"Learning Pass AI"platform for case diagnosis reasoning, prompt construction training, test plan formulation, and result analysis, while Class B received traditional PBL instruction. Paired t-tests were used to compare pre-and post-teaching scores in clinical thinking skills, AI interaction literacy, and prompt construction in Class A. Independent samples t-tests and chi-square ( χ2) tests were used to evaluate differences in case reasoning scores, etiology analysis accuracy, and teaching satisfaction between groups. Structured questionnaires supplemented the evaluation of model-assisted teaching processes. Results:The comparison of pre-and post-teaching scores in Class A showed that post-teaching scores significantly improved in clinical thinking skills[(4.02±0.45) points vs. (3.09±0.50) points, t=2.23)] and AI interaction literacy [(4.62±0.41) points vs. (3.27±0.54) points, t=2.18]. Compared to Class B, Class A demonstrated superior performance in case reasoning scores [(81.1±3.8) points vs.(74.3±4.2) points, t=8.97], etiology analysis accuracy [94.3% (50/53) vs. 81.1% (43/53), χ2=4.29], and teaching satisfaction [(95.6±3.2)points vs. (82.6±4.8) points, t=11.86] ( P<0.05). The results of questionnaires indicated that during model application, the prompt construction improved in logic [(2.85±0.58) points to (4.25±0.50) points, t=14.23, P<0.01] and innovation [(2.60±0.53) points to (4.05±0.46) points, t=11.57, P<0.05], but question clarity (77.4%, 41/53) and medical terminology accuracy (43.4%, 23/53) remained primary shortcomings. Conclusion:Integrating large language models into AI-teacher collaborative learning pathways can effectively promote students′ autonomous inquiry and clinical reasoning skills, thereby enhancing medical laboratory technology students′ clinical thinking skills.

Hypokalemia,a common clinical electrolyte disorder,can affect multiple systems and can be life-threatening in severe cases.Identifying the cause of hypokalemia is crucial for its prevention and treatment.However,the etiology of hypokalemia is complex and often requires detailed differential diagnosis.This article reports a rare clinical case of hypokalemia caused by long-term excessive consumption of strong tea and discusses its pathogenesis.The aim is to raise clinical awareness and understanding of the etiology of such cases of hypokalemia and reduce misdiagnosis and missed diagnosis.

Objective:To explore the application effectiveness of the large language model DeepSeek in the cultivation of clinical thinking skills for medical laboratory technology students.Methods:A non-randomized controlled study was conducted. In the 2024-2025 academic year, two classes of second-year medical laboratory technology students from Hubei University of Chinese Medicine were selected and divided into a DeepSeek-assisted teaching group (Class A, n=53) and a traditional teaching control group (Class B, n=53), totaling 106 students. Both groups followed a 20-week problem-based learning (PBL) framework with identical teaching content, instructors, and class hours. Class A utilized DeepSeek via the"Learning Pass AI"platform for case diagnosis reasoning, prompt construction training, test plan formulation, and result analysis, while Class B received traditional PBL instruction. Paired t-tests were used to compare pre-and post-teaching scores in clinical thinking skills, AI interaction literacy, and prompt construction in Class A. Independent samples t-tests and chi-square ( χ2) tests were used to evaluate differences in case reasoning scores, etiology analysis accuracy, and teaching satisfaction between groups. Structured questionnaires supplemented the evaluation of model-assisted teaching processes. Results:The comparison of pre-and post-teaching scores in Class A showed that post-teaching scores significantly improved in clinical thinking skills[(4.02±0.45) points vs. (3.09±0.50) points, t=2.23)] and AI interaction literacy [(4.62±0.41) points vs. (3.27±0.54) points, t=2.18]. Compared to Class B, Class A demonstrated superior performance in case reasoning scores [(81.1±3.8) points vs.(74.3±4.2) points, t=8.97], etiology analysis accuracy [94.3% (50/53) vs. 81.1% (43/53), χ2=4.29], and teaching satisfaction [(95.6±3.2)points vs. (82.6±4.8) points, t=11.86] ( P<0.05). The results of questionnaires indicated that during model application, the prompt construction improved in logic [(2.85±0.58) points to (4.25±0.50) points, t=14.23, P<0.01] and innovation [(2.60±0.53) points to (4.05±0.46) points, t=11.57, P<0.05], but question clarity (77.4%, 41/53) and medical terminology accuracy (43.4%, 23/53) remained primary shortcomings. Conclusion:Integrating large language models into AI-teacher collaborative learning pathways can effectively promote students′ autonomous inquiry and clinical reasoning skills, thereby enhancing medical laboratory technology students′ clinical thinking skills.

OBJECTIVE To study the improvement effect of total flavonoids from Rosa multiflora root on vascular injury in rheumatoid arthritis （RA） model rats and its potential mechanism. METHODS Female Wistar rats were randomly divided into normal control group， model group， aspirin group （positive control， 30 mg/kg）， low-dose and high-dose groups of total flavonoids from R. multiflora root （4.15， 8.30 g/kg， by crude drug）， with 10 rats in each group. Except for the normal control group， the RA model was induced in other groups by collagen induction and high-fat diet. After 14 days of modeling， they were given corresponding drug solution/0.5% sodium carboxymethyl cellulose solution intragastrically， once a day， for 36 consecutive days. The total body score， arthritis index （AI） and swollen joint count （SJC） of the rats were evaluated regularly. After the last medication， serum levels of interleukin-6 （IL-6）， intercellular adhesion molecule-1 （ICAM-1） and vascular cell adhesion molecule- 1 （VCAM-1） were determined. The pathological morphological changes in the vascular tissue of thoracic aorta were observed； the protein expression of Toll-like receptor 4 （TLR4） and the protein phosphorylation levels of Janus kinase 2 （JAK2） and signal transduction and activator of transcription 3 （STAT3） in vascular tissue of thoracic aorta were measured. RESULTS Compared with the normal control group， serum levels of IL-6， ICAM-1 and VCAM-1， protein expression of TLR4， and the protein phosphorylation levels of JAK2 and STAT3 in vascular tissue of thoracic aorta were increased significantly in model group （P＜ 0.01）. The atherosclerotic plaque （atheroma）， cholesterol crystal， lymphocyte infiltration and a small number of unbroken foam cell aggregation could be seen in the vascular tissue of thoracic aorta. Compared with the model group， total body score （except for the low-dose group）， AI and SJC were decreased significantly in groups of total flavonoids from R. multiflora root on the 28th day （P＜0.05 or P＜0.01）； total body score，AI and SJC were decreased significantly in low-dose group of total flavonoids from R. multiflora root on the 49th day （P＜0.05 or P＜0.01）； the other quantitative indicators in serum and vascular tissue were significantly reversed in groups of total flavonoids from R. multiflora root （P＜0.05 or P＜0.01）， and pathological damage of vascular tissue was significantly relieved. CONCLUSIONS Total flavonoids from R. multiflora root can significantly improve vascular injury in RA model rats， and its mechanism may be related to reducing the protein expression of TLR4 in vascular tissue and inhibiting the activation of IL-6/JAK2/ STAT3 signaling pathway.

Objective:To develop and evaluate the efficacy and safety of a three-dimensional (3D) digestive endoscope for gastric endoscopic submucosal dissection (ESD) through animal experiments.Methods:Two Dutch pigs were utilized from the Zhengzhou University Animal Experiment Center for the study. ESD procedures were performed by two senior endoscopists, one using 3D glasses and the other utilizing a 3D high-definition head display. The success of ESD was assessed based on predefined criteria, including completion of surgical steps, complete detachment of the presumptive lesion, and effective bleeding control during and after the surgery. The number of successful procedures and incidences of perforation were recorded. The stereoscopic experience of the endoscopists, including both the primary endoscopist and the assistant, was also evaluated. Furthermore, the assessment encompassed any reported symptoms of eye discomfort, such as eye fatigue, ocular pain, and blurred vision. Additionally, the confidence level of the endoscopists in the mechanical aspects of the operation, as well as encountered issues during the endoscopic procedures, were documented.Results:Two ESD were successful and no perforation occurred. Feedback from endoscopists suggested that 3D digestive endoscopy offered clear images with enhanced three-dimensionality during surgery, clear sense of distance and layering, allowing for a precise judgment of bleeding points, which surpassed 2D capabilities. No eye discomfort was experienced by endoscopists or assistants during or after the procedures. While endoscopists exhibited high confidence in 3D digestive endoscopy, they noted issues with image blurring when the camera was positioned less than 10 mm from the gastrointestinal tract wall.Conclusion:Preliminary results show that 3D digestive endoscopes can provide excellent stereo imaging, improved positioning accuracy, and safety during live animal stomach ESD procedures, without significantly increasing endoscopists' eye discomfort. Nevertheless, efforts are needed to address image blurring concerns when the camera is close to the gastrointestinal tract wall.

The upset insomnia caused by life and work pressure has seriously affected the physical and mental health of modern people and induced many diseases. The quality of Chinese medicine for nourishing heart and tranquilizing mind is stable, and it has a significant effect on the treatment of insomnia, with fewer adverse reactions, and no dependence on sedative and hypnotic as chemical drugs. The Chinese herbal pieces and preparations for nourishing heart and tranquilizing mind can be divided into psychotropic and sedative drugs according to their functions. Their active ingredients mainly include flavonoids, alkaloids, organic acids, polysaccharides, amino acids and vitamins, etc. They are mostly used in the treatment of cardiovascular diseases and central nervous system inhibition. In this paper, the types and active ingredients and development tendency and application status of the Chinese herbal pieces and preparations of nourishing heart and tranquilizing mind were reviewed individually, in order to provide reference for the development of drugs of nourishing heart and tranquilizing mind in the field of clinical application and related drugs.

Objective:To investigate the distribution of HIV-1 genotypes and drug resistance characteristics among newly reported HIV-infected men who have sex with men in Yunnan Province, and to analyze the correlation between HIV-1 genotypes and concurrence with other sexually transmitted diseases (STDs) .Methods:A single-center cross-sectional study was conducted. A total of 79 newly reported HIV-infected men who have sex with men were collected from the Yunnan Provincial Hospital of Infectious Diseases from September 2020 to May 2021. Meanwhile, their blood and initial-stream urine samples were collected. Antibodies against Treponema pallidum or herpes simplex virus type 2 were detected in blood samples, while nucleic acid amplification tests were performed for the detection of Neisseria gonorrhoeae, Chlamydia trachomatis, and Mycoplasma genitalium in urine samples. Viral RNA was extracted from plasma samples, and the gag, env, and pol gene fragments were amplified by nested reverse transcription polymerase chain reaction for genotyping and drug resistance analysis. Differences between groups were analyzed using the chi-square test, and correlations between HIV-1 genotypes and concurrence with STDs were analyzed using logistic regression. Results:Totally, 72 samples were successfully genotyped, and 5 genotypes were identified, including CRF07_BC (43.06%, 31/72), CRF01_AE (33.33%, 24/72), URF (18.06%, 13/72), CRF55_01B (2.78%, 2/72), and CRF68_01B (2.78%, 2/72). The 13 cases of URF were classified into 3 recombination patterns, including 11 cases of CRF01_AE/CRF07_BC, 1 case of CRF08_BC/CRF07_BC, and 1 case of B/CRF07_BC. Drug resistance analysis was conducted for 36 cases according to the pol sequences, and the HIV drug resistance rate was 5.56% (2/36). The rate of concurrence with other STDs was 40.28% (29/72), and HIV infection mostly coexisted with syphilis (20.83%, 15/72), followed by herpes simplex virus type 2 infection (16.67%, 15/72), Mycoplasma genitalium infection (11.11%, 8/72), gonorrhea (5.56%, 4/72) and Chlamydia trachomatis infection (2.78%, 2/72). The rate of concurrence with two or more STDs was 12.50% (9/72). Logistic regression analysis showed that there was no significant correlation between HIV-1 genotypes and concurrence with different STDs (all P < 0.05) . Conclusions:The HIV-1 genotypes among men who have sex with men in Yunnan Province were complex, the drug resistance in HIV strains had reached a moderately epidemic level, and HIV-infected patients were often accompanied by other STDs. Thus, it is necessary to pay close attention to the change of HIV-1 genotypes and simultaneous screening and treatment of STDs in HIV-infected patients.