Objective: To investigate the prevalence levels and trends of overweight and obesity among adult residents in Zhejiang Province from 2015 to 2023, so as to provide a basis for developing regional weight management strategies. Methods: Permanent residents aged ≥18 years from Zhejiang Province who participated in the China Chronic Disease and Risk Factor Surveillance Project in 2015, 2018, and 2023 were selected as survey subjects. Data on sociodemographic information, height, weight and waist circumference were collected through questionnaire surveys and physical examinations. The prevalence of overweight, obesity, and central obesity were calculated and standardized using data from the Seventh National Population Census of Zhejiang Province in 2020. The Cochran-Armitage trend test was employed to analyze the trends in prevalence of overweight, obesity, and central obesity across different genders, ages and regions. Results: A total of 23 902 individuals were surveyed, comprising 10 985 males (45.96%) and 12 917 females (54.04%). Participants were aged ≥60 years, with 13 088 individuals accounting for 54.76%. There were 9 388 urban residents (39.28%) and 14 514 rural residents (60.72%). The standardized prevalence of overweight among residents increased from 30.05% in 2015 to 33.98% in 2023, the standardized prevalence of obesity increased from 7.67% to 15.22%, and the standardized prevalence of central obesity increased from 22.81% to 33.82%, all showed upward trends (all P<0.05). In 2015, 2018, and 2023, the standardized prevalence of overweight was higher in males than in females. In 2018 and 2023, the standardized prevalence of obesity and central obesity were higher in males than in females (all P<0.05). From 2015 to 2023, the standardized prevalence of overweight, obesity, and central obesity among both males and females showed upward trends (all P<0.05). In 2015, 2018 and 2023, the prevalence of central obesity showed an increasing trend with age (all P<0.05). From 2015 to 2023, upward trends were observed in the prevalence of overweight, obesity, and central obesity among residents aged 18-<45 years and aged ≥60 years, as well as in the prevalence of obesity and central obesity among residents aged 45-<60 years (all P<0.05). In 2015, 2018 and 2023, the standardized prevalence of overweight obesity were higher in urban areas than in rural areas, while the standardized prevalence of central obesity was lower in urban areas (all P<0.05). From 2015 to 2023, the standardized prevalence of overweight, obesity, and central obesity among both urban and rural areas showed upward trends (all P<0.05). Conclusion From 2015 to 2023, the prevalence of overweight, obesity, and central obesity among adult residents in Zhejiang Province showed increasing trends, with variations in prevalence levels and trends observed across genders, ages, and urban / rural areas.

Objective:To develop a convolutional neural network model of whole slide imaging of cerebrospinal fluid cells for rapid and accurate identification and classification of tumor cells in cerebrospinal fluid.Methods:A total of 8 692 cerebrospinal fluid cytology smears from Huashan Hospital Affiliated to Fudan University from January 2nd, 2019, to December 27th, 2024. As randomly assigned, the training set included 4 941 benign and 1 745 malignant samples, while the validation set comprised of 1 368 benign and 638 malignant samples. Whole-slide digital images were acquired using a cytopathology scanner, cells (clusters) were annotated for classification, and a deep learning model was constructed via tiled image patches for cell detection and classification. Model performance was evaluated using accuracy, sensitivity, specificity, and other indicators. The classification efficiency of manual microscopy was compared.Results:The model achieved a mean precision of 96.75% for cerebrospinal fluid cell classification. For malignant tumor cells, the classification accuracy was 96.61% (mAP=98.36%, AUC=0.97). Subtype classification accuracies for epithelial/epithelioid tumors and small round cell tumors were 97.13% (AUC=0.98) and 95.58% (AUC=0.93), respectively. Compared with manual microscopy, which took (9.70±0.82) minutes for classifying 200 cells, (18.27±1.21) minutes for 500 cells, and often exceeded 60 minutes or infeasible for full slides, the AI model took (3.46±0.49) seconds for 200 cells, (6.76±0.82) seconds for 500 cells, and a median of 48.57 seconds for full slides ( P<0.001), representing an efficiency improvement of approximately 161-170 times, significantly enhancing diagnostic efficiency. Conclusion:This fully automated hierarchical deep learning model enables efficient and accurate tumor cell identification and classification in CSF, providing an effective auxiliary tool for the rapid diagnosis of meningeal carcinomatosis.

Objective To investigate the susceptibility of Cryptococcus neoformans strains to antifungal drugs and examine the relevant clinical manifestations and laboratory test results in a tertiary hospital in Shanghai during the period from 2019 to 2023.Methods The isolates were identified by MALDI-TOF and biochemical identification cards.The minimum inhibitory concentration(MIC)values of 5-fluorocytosine,amphotericin B,fluconazole,voriconazole,and itraconazole against C.neoformans strains were measured using broth microdilution method.The corresponding clinical data were reviewed and compared.Results Majority(78.7％)of the 75 strains of C.neoformans were isolated from cerebrospinal fluid(CSF).The prevalence of wild type(WT)strains was the lowest(36.0％)for itraconazole and the highest(94.7％)for voriconazole.Cryptococcus capsular antigen test was positive in 62 strains.The results of Cryptococcus capsular antigen test was consistent with fungal culture in 96.9％of the cases.Conclusions Most of the C.neoformans strains were isolated from CSF.The prevalence of non-WT C.neoformans strains was the highest for itraconazole.The prevalence of WT C.neoformans strains was the highest for voriconazole.

Objective:To explore the feasibility of transvaginal core needle biopsy for pelvic masses under finger guidance during a vagino-recto-abdominal examination.Methods:The clinicopathological data and follow-up information of 29 patients with pelvic masses who underwent transvaginal core needle biopsy under finger guidance during a vagino-recto-abdominal examination at Affiliated Hospital of Southwest Medical University from January 2020 to July 2024 were collected, and the safety and diagnostic accuracy of the procedure were retrospectively analyzed.Results:(1) A total of 29 patients with pelvic masses were enrolled in this study, with a median age of 50 years (range: 29-73 years), and a median tumor diameter of 3.9 cm (range: 2.7-13.3 cm). Among these patients, 7 were newly diagnosed, and 22 were follow-up. The pre-procedure disease types included 21 patients (72%, 21/29) cervical cancer, 6 patients (21%, 6/29) epithelial ovarian cancer, and 2 patients (7%, 2/29) other suspected gynecologic tumors. (2) Among 29 patients with pelvic masses, 8 cases (28%, 8/29) were diagnosed with benign diseases according to core needle biopsy pathological findings, and 1 case suggested possible residual cervical cancer in the parametrial region by contrast-enhanced magnetic resonance imaging after radical chemoradiotherapy 3 months, while the result of core needle biopsy for this patient was negative, with follow-up after 1 year revealed progression of the lesion in the right parametrial area. Another patient underwent fine-needle aspiration cytology, which suggested gastrointestinal stromal tumor, requiring differentiation from endometriosis, and core needle biopsy pathology confirmed endometriosis, with follow-up at 6 months revealed no evidence of malignancy in this patient. The remaining 6 patients with benign diagnoses had follow-up periods exceeding 1 year without imaging or clinical evidence of local lesion progression or malignancy. Among the 21 patients (72%, 21/29) diagnosed with malignant tumors by core needle biopsy, 14 cases were suspected cases of residual or recurrent cervical cancer, 6 cases had advanced ovarian cancer, and 1 case had rectal cancer metastasis, with all biopsy diagnoses being consistent with preoperative clinical findings and imaging results. The overall diagnostic accuracy of the core needle biopsy was 97% (28/29). Among the 7 newly diagnosed patients, the diagnostic accuracy was 7/7, while it was 95% (21/22) for the 22 follow-up patients, with no statistically significant difference observed between the two groups ( P=1.000). (3) All 29 patients with pelvic masses successfully underwent transvaginal core needle biopsy guided by vagino-recto-abdominal examination. Among them, 28 cases (97%, 28/29) reported tolerable pain during the procedure, while 1 case (3%, 1/29) experienced transient syncope at the end of the procedure due to pain, which resolved within seconds. Vaginal bleeding exceeding 50 ml occurred in 3 patients (10%, 3/29) during paracervical tissue sampling, with the maximum blood loss being 150 ml, and hemorrhage was successfully controlled using vaginal tamponade. The overall incidence of adverse events during the core needle biopsy procedure was 14% (4/29). Conclusion:Transvaginal core needle biopsy for pelvic masses guided by vagino-recto-abdominal examination is a simple, safe, and accurate diagnostic method, suitable for patients with gynecologic malignancies, non-gynecologic malignancies suspected of pelvic mass metastasis, and other benign pelvic lesions.

Cardiac fibrosis is characterized by an elevated amount of extracellular matrix (ECM) within the heart. However, the persistence of cardiac fibrosis ultimately diminishes contractility and precipitates cardiac dysfunction. Circular RNAs (circRNAs) are emerging as important regulators of cardiac fibrosis. Here, we elucidate the functional role of a specific circular RNA CELF1 in cardiac fibrosis and delineate a novel feedback loop mechanism. Functionally, circ-CELF1 was involved in enhancing fibrosis-related markers' expression and promoting the proliferation of cardiac fibroblasts (CFs), thereby exacerbating cardiac fibrosis. Mechanistically, circ-CELF1 reduced the ubiquitination-degradation rate of BRPF3, leading to an elevation of BRPF3 protein levels. Additionally, BRPF3 acted as a modular scaffold for the recruitment of histone acetyltransferase KAT7 to facilitate the induction of H3K14 acetylation within the promoters of the Celf1 gene. Thus, the transcription of Celf1 was dramatically activated, thereby inhibiting the subsequent response of their downstream target gene Smad7 expression to promote cardiac fibrosis. Moreover, Celf1 further promoted Celf1 pre-mRNA transcription and back-splicing, thereby establishing a feedback loop for circ-CELF1 production. Consequently, a novel feedback loop involving CELF1/circ-CELF1/BRPF3/KAT7 was established, suggesting that circ-CELF1 may serve as a potential novel therapeutic target for cardiac fibrosis.

Objective To investigate the susceptibility of Cryptococcus neoformans strains to antifungal drugs and examine the relevant clinical manifestations and laboratory test results in a tertiary hospital in Shanghai during the period from 2019 to 2023.Methods The isolates were identified by MALDI-TOF and biochemical identification cards.The minimum inhibitory concentration(MIC)values of 5-fluorocytosine,amphotericin B,fluconazole,voriconazole,and itraconazole against C.neoformans strains were measured using broth microdilution method.The corresponding clinical data were reviewed and compared.Results Majority(78.7％)of the 75 strains of C.neoformans were isolated from cerebrospinal fluid(CSF).The prevalence of wild type(WT)strains was the lowest(36.0％)for itraconazole and the highest(94.7％)for voriconazole.Cryptococcus capsular antigen test was positive in 62 strains.The results of Cryptococcus capsular antigen test was consistent with fungal culture in 96.9％of the cases.Conclusions Most of the C.neoformans strains were isolated from CSF.The prevalence of non-WT C.neoformans strains was the highest for itraconazole.The prevalence of WT C.neoformans strains was the highest for voriconazole.

Objective:To explore the feasibility of transvaginal core needle biopsy for pelvic masses under finger guidance during a vagino-recto-abdominal examination.Methods:The clinicopathological data and follow-up information of 29 patients with pelvic masses who underwent transvaginal core needle biopsy under finger guidance during a vagino-recto-abdominal examination at Affiliated Hospital of Southwest Medical University from January 2020 to July 2024 were collected, and the safety and diagnostic accuracy of the procedure were retrospectively analyzed.Results:(1) A total of 29 patients with pelvic masses were enrolled in this study, with a median age of 50 years (range: 29-73 years), and a median tumor diameter of 3.9 cm (range: 2.7-13.3 cm). Among these patients, 7 were newly diagnosed, and 22 were follow-up. The pre-procedure disease types included 21 patients (72%, 21/29) cervical cancer, 6 patients (21%, 6/29) epithelial ovarian cancer, and 2 patients (7%, 2/29) other suspected gynecologic tumors. (2) Among 29 patients with pelvic masses, 8 cases (28%, 8/29) were diagnosed with benign diseases according to core needle biopsy pathological findings, and 1 case suggested possible residual cervical cancer in the parametrial region by contrast-enhanced magnetic resonance imaging after radical chemoradiotherapy 3 months, while the result of core needle biopsy for this patient was negative, with follow-up after 1 year revealed progression of the lesion in the right parametrial area. Another patient underwent fine-needle aspiration cytology, which suggested gastrointestinal stromal tumor, requiring differentiation from endometriosis, and core needle biopsy pathology confirmed endometriosis, with follow-up at 6 months revealed no evidence of malignancy in this patient. The remaining 6 patients with benign diagnoses had follow-up periods exceeding 1 year without imaging or clinical evidence of local lesion progression or malignancy. Among the 21 patients (72%, 21/29) diagnosed with malignant tumors by core needle biopsy, 14 cases were suspected cases of residual or recurrent cervical cancer, 6 cases had advanced ovarian cancer, and 1 case had rectal cancer metastasis, with all biopsy diagnoses being consistent with preoperative clinical findings and imaging results. The overall diagnostic accuracy of the core needle biopsy was 97% (28/29). Among the 7 newly diagnosed patients, the diagnostic accuracy was 7/7, while it was 95% (21/22) for the 22 follow-up patients, with no statistically significant difference observed between the two groups ( P=1.000). (3) All 29 patients with pelvic masses successfully underwent transvaginal core needle biopsy guided by vagino-recto-abdominal examination. Among them, 28 cases (97%, 28/29) reported tolerable pain during the procedure, while 1 case (3%, 1/29) experienced transient syncope at the end of the procedure due to pain, which resolved within seconds. Vaginal bleeding exceeding 50 ml occurred in 3 patients (10%, 3/29) during paracervical tissue sampling, with the maximum blood loss being 150 ml, and hemorrhage was successfully controlled using vaginal tamponade. The overall incidence of adverse events during the core needle biopsy procedure was 14% (4/29). Conclusion:Transvaginal core needle biopsy for pelvic masses guided by vagino-recto-abdominal examination is a simple, safe, and accurate diagnostic method, suitable for patients with gynecologic malignancies, non-gynecologic malignancies suspected of pelvic mass metastasis, and other benign pelvic lesions.

Objective:To develop a convolutional neural network model of whole slide imaging of cerebrospinal fluid cells for rapid and accurate identification and classification of tumor cells in cerebrospinal fluid.Methods:A total of 8 692 cerebrospinal fluid cytology smears from Huashan Hospital Affiliated to Fudan University from January 2nd, 2019, to December 27th, 2024. As randomly assigned, the training set included 4 941 benign and 1 745 malignant samples, while the validation set comprised of 1 368 benign and 638 malignant samples. Whole-slide digital images were acquired using a cytopathology scanner, cells (clusters) were annotated for classification, and a deep learning model was constructed via tiled image patches for cell detection and classification. Model performance was evaluated using accuracy, sensitivity, specificity, and other indicators. The classification efficiency of manual microscopy was compared.Results:The model achieved a mean precision of 96.75% for cerebrospinal fluid cell classification. For malignant tumor cells, the classification accuracy was 96.61% (mAP=98.36%, AUC=0.97). Subtype classification accuracies for epithelial/epithelioid tumors and small round cell tumors were 97.13% (AUC=0.98) and 95.58% (AUC=0.93), respectively. Compared with manual microscopy, which took (9.70±0.82) minutes for classifying 200 cells, (18.27±1.21) minutes for 500 cells, and often exceeded 60 minutes or infeasible for full slides, the AI model took (3.46±0.49) seconds for 200 cells, (6.76±0.82) seconds for 500 cells, and a median of 48.57 seconds for full slides ( P<0.001), representing an efficiency improvement of approximately 161-170 times, significantly enhancing diagnostic efficiency. Conclusion:This fully automated hierarchical deep learning model enables efficient and accurate tumor cell identification and classification in CSF, providing an effective auxiliary tool for the rapid diagnosis of meningeal carcinomatosis.

The technology of three-dimensional(3D)printing emerged in the late 1970s and has since undergone considerable development to find numerous applications in mechanical engineering,industrial design,and biomedicine.In biomedical science,several studies have initially found that 3D printing technology can play an important role in the treatment of diseases in hepatopancreatobiliary surgery.For example,3D printing technology has been applied to create detailed anatomical models of disease organs for preoperative personalized surgical strategies,surgical simulation,intraoperative navigation,medical training,and patient education.Moreover,cancer models have been created using 3D printing technology for the research and selection of chemotherapy drugs.With the aim to clarify the development and application of 3D printing technology in hepatopancreatobiliary surgery,we introduce seven common types of 3D printing technology and review the status of research and application of 3D printing technology in the field of hepatopancreatobiliary surgery.

Limb dismemberment injuries are common in clinical practice,and safe and effective protection of the dismembered limb is the key to successful limb replantation.Normothermic machine perfusion has made significant breakthrough in the field of organ transplantation,which may maintain the active function of organs and tissues for a long period of time and prolong the preservation time.These findings have been validated in large animal models and clinical trials.Meantime,this technology is expected to provide novel reference for the preservation and functional recovery of severed limbs.Therefore,this paper reviews the problems of static cold preservation in the preservation of disarticulated limbs,the development history of mechanical perfusion,the current status of clinical application of ambient mechanical perfusion of disarticulated limbs as well as the problems to be solved,and looks forward to the direction of its development and the prospect of its clinical application,with a view to promoting the wide application of this technology in the clinic.