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.

Humans ; Consensus ; Pancreatic Neoplasms/therapy* ; Neuroendocrine Tumors/therapy*

Humans ; Asthma/drug therapy* ; Biological Therapy

Objective:To quantitatively evaluate the retinal ischemia in different retinal regions of diabetic retinopathy (DR) patients in ultra-widefield fluorescein fundus angiography (UWFA) images with ischemic index (ISI), and to explore its correlation with diabetic macular edema (DME).Methods:A cross-sectional study was conducted.Seventy-nine eyes of 79 patients with DR were enrolled in Renmin Hospital of Wuhan University from September 2017 to October 2020, including 44 males (44 eyes) and 35 females (35 eyes) aged 31 to 73 years old, with an average age of (55.95±8.80) years.UWFA and spectral-domain optical coherence tomography (SD-OCT) were performed in all patients.Patients were divided into DME group (37 eyes) and non-DME group (42 eyes) according to the presence or absence of DME in OCT images.The retina in middle phase UWFA images were divided into posterior, middle peripheral and far peripheral regions by ImageJ software, and ISI in each region was calculated.Central macular thickness (CMT) was automatically calculated using the built-in software of the OCT equipment.The correlation between ISI and CMT was analyzed by Spearman rank correlation analysis.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Renmin Hospital of Wuhan University (No.WDRY2019-K037). Written informed consent was obtained from each patient prior to any medical examination.Results:The ISI of the total, posterior, middle peripheral and far peripheral retina was 2.460 (0.603, 5.640)%, 2.670 (1.062, 9.574)%, 1.382 (0.245, 4.378)% and 0.000 (0.000, 1.262)%, respectively, with a statistically significant difference among different regions ( χ2=65.307, P<0.001). There were statistically significant differences in ISI between the total and far peripheral, the posterior and middle peripheral, the posterior and far peripheral, the middle and far peripheral (all at P<0.01). ISI of the total, posterior and middle peripheral retina in DME group were significantly higher than those in non-DME group ( U=424.000, P=0.001; U=403.000, P<0.001, U=493.000, P=0.005), but there was no significant difference in the ISI of the far peripheral region between the two groups ( U=609.000, P=0.061). There was no statistically significant correlation between ISI and CMT in the total, posterior, middle peripheral and far peripheral retina in DME group ( rs=-0.134, -0.018, -0.152, -0.163; all at P>0.05). Conclusions:The retinal non-perfusion area in DR eyes is mainly located in the posterior and middle peripheral retina.The ISI of the posterior and middle peripheral retina in DME eyes is significantly higher than that in eyes without DME.ISI of each retinal region may not be related to the severity of DME.

Objective:To observe the choroidal vascular changes of chronic central serous chorioretinopathy (cCSC), and analyze their correlations with central macular thickness (CMT).Methods:A cross-sectional study was adopted.Seventy-six eyes of 38 patients with monocular cCSC who were treated in Renmin Hospital of Wuhan University from March 2018 to December 2019 were enrolled, and 30 eyes of 30 normal control matched with age, gender, and spherical equivalent (SE) were included.Choroidal images of all subjects, and the CMT, subfoveal choroidal thickness (SFCT), choroidal vascularity index (CVI), total choroidal area (TCA), choroidal stromal area (SA), and choroidal luminal area (LA) were measured by Heidelberg enhanced depth imaging optical coherence tomography.The differences in SFCT, LA, SA, TCA, CMT and CVI between the cCSC eye, fellow eye and normal eye, as well as the correlation between SFCT and CVI, SFCT and CMT, and CVI and CMT were analyzed.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Renmin Hospital of Wuhan University (No.WDRY2020-K234).Results:The CVI and the SFCT of the cCSC eyes, fellow eyes and normal eyes were (71.67±5.60)% and 483.82(409.01, 550.87)μm, (68.33±3.85)% and 444.66(351.25, 505.15)μm, (64.70±1.88)% and 373.46(327.98, 405.48)μm, respectively.The CMT, SFCT, TCA, LA, CVI in cCSC eyes were significantly higher than those in the contralateral eyes and normal control eyes, while SFCT, TCA, LA, CVI in the contralateral eyes were higher than those in normal control eyes (all at P<0.05). Pairwise comparison among the three groups showed no significant difference in SA (all at P>0.05). Correlation analysis showed that in cCSC eyes, SFCT was strongly positively correlated with CVI ( rs=0.703, P<0.001), and there was no correlation between CMT and SFCT ( rs=0.181, P=0.278), or CMT and CVI ( r=0.231, P=0.164). Conclusions:The SFCT and CVI are higher in cCSC and the fellow eyes compared with normal eyes, and the choroidal vessels are significantly dilated in cCSC patients.The SFCT and CVI of the cCSC eye are slightly higher in comparison with the fellow eye.CMT is not correlated with SFCT or CVI in cCSC eyes.

Retinal vasoproliferative tumor (RVPT) is a rare benign glial proliferative tumor of unknown origin.The fundus is typically characterized by yellow or pink tumor-like lesions of the retina around the inferior temporal region, often accompanied by subretinal fluid, exudation, epiretinal membrane and other complications.Typical RVPT showed high fluorescence on fundus fluorescein angiography, diffuse leakage in venous phase and late stage, uneven middle or high reflection signal on B-ultrasound, and it was not difficult to diagnose combined with fundus changes.Atypical RVPT should be differentiated from retinal capillary hemangioma caused by von Hippel-Lindau disease, Coats disease and familial exudative vitreoretinopathy.The pathogenesis of RVPT is unclear, but histopathology shows that it may be the reactive proliferation of glial cells.At present, there is no unified treatment plan for RVPT, mainly cryotherapy, laser photocoagulation, local radiotherapy, transpupillary thermal therapy or photodynamic therapy for tumor.For patients with vitreous hemorrhage, vitreoretinal surgery is feasible.This article reviewed the clinical features, diagnosis and differential diagnosis, pathology and pathogenesis, and treatment progress of RVPT.

Objective:To build a small-sample ultra-widefield fundus images (UWFI) multi-disease classification artificial intelligence model, and initially explore the ability of artificial intelligence to classify UWFI multi-disease tasks.Methods:A retrospective study. From 2016 to 2021, 1 608 images from 1 123 patients who attended the Eye Center of the Renmin Hospital of Wuhan University and underwent UWFI examination were used for UWFI multi-disease classification artificial intelligence model construction. Among them, 320, 330, 319, 268, and 371 images were used for diabetic retinopathy (DR), retinal vein occlusion (RVO), pathological myopia (PM), retinal detachment (RD), and normal fundus images, respectively. 135 images from 106 patients at the Tianjin Medical University Eye Hospital were used as the external test set. EfficientNet-B7 was selected as the backbone network for classification analysis of the included UWFI images. The performance of the UWFI multi-task classification model was assessed using the receiver operating characteristic curve, area under the curve (AUC), sensitivity, specificity, and accuracy. All data were expressed using numerical values and 95% confidence intervals ( CI). The datasets were trained on the network models ResNet50 and ResNet101 and tested on an external test set to compare and observe the performance of EfficientNet with the 2 models mentioned above. Results:The overall classification accuracy of the UWFI multi-disease classification artificial intelligence model on the internal and external test sets was 92.57% (95% CI 91.13%-92.92%) and 88.89% (95% CI 88.11%-90.02%), respectively. These were 96.62% and 92.59% for normal fundus, 95.95% and 95.56% for DR, 96.62% and 98.52% for RVO, 98.65% and 97.04% for PM, and 97.30% and 94.07% for RD, respectively. The mean AUC on the internal and external test sets was 0.993 and 0.983, respectively, with 0.994 and 0.939 for normal fundus, 0.999 and 0.995 for DR, 0.985 and 1.000 for RVO, 0.991 and 0.993 for PM and 0.995 and 0.990 for RD, respectively. EfficientNet performed better than the ResNet50 and ResNet101 models on both the internal and external test sets. Conclusion:The preliminary UWFI multi-disease classification artificial intelligence model using small samples constructed in this study is able to achieve a high accuracy rate, and the model may have some value in assisting clinical screening and diagnosis.

OBJECTIVES: Ziyin Huatan Recipe (ZYHT), a traditional Chinese medicine comprised of Lilii Bulbus, Pinelliae Rhizoma, and Hedyotis Diffusa, has shown promise in treating gastric cancer (GC). However, its potential mechanism has not yet been clearly addressed. This study aimed to predict targets and molecular mechanisms of ZYHT in treating GC by network pharmacology analysis and to explore the role of ZYHT in GC both in vitro and in vivo. METHODS: Targets and molecular mechanisms of ZYHT were predicted via network pharmacology analysis. The effects of ZYHT on the expression of metastasis-associated targets were further validated by Western blot and quantitative real-time polymerase chain reaction. To explore the specific molecular mechanisms of the effects of ZYHT on migration and invasion, the runt-related transcription factor 3 (RUNX3) gene was knocked out by clustered regularly interspaced short palindromic repeats/Cas9, and lentiviral vectors were transfected into SGC-7901 cells. Then lung metastasis model of GC in nude mice was established to explore the anti-metastasis effect of ZYHT. Western blot and immunohistochemistry were used to explore the impact of ZYHT on the expression of metastasis-related proteins with or without RUNX3 gene. RESULTS: The network pharmacology analysis showed that ZYHT might inhibit focal adhesion, migration, invasion and metastasis of GC. ZYHT inhibited the proliferation, migration and invasion of GC cells in vitro via regulating the expression of metastasis-associated targets. Knocking out RUNX3 almost completely reversed the cell phenotypes (migration and invasion) and protein expression levels elicited by ZYHT. In vivo studies showed that ZYHT inhibited the metastasis of GC cells to the lung and prolonged the survival time of the nude mice. Knocking out RUNX3 partly reversed the metastasis of GC cells to the lung and the protein expression levels elicited by ZYHT. CONCLUSION ZYHT can effectively inhibit the invasion and migration of GC in vitro and in vivo, and its molecular mechanism may relate to the upregulation of RUNX3 expression.
Animals ; Cell Line, Tumor ; Cell Movement ; Cell Proliferation ; China ; Gene Expression Regulation, Neoplastic ; Mice ; Mice, Nude ; Neoplasm Invasiveness ; Stomach Neoplasms/genetics*

This study aimed to elucidate the effective components of Shengxian Decoction and its mechanism of action in treating chronic heart failure. Firstly, UHPLC-Q-TOF-MS was established to identify the main chemical constituents in the rat serum after intragastric administration with Shengxian Decoction. Secondly, the absorbed components in serum were then used for the network pharmacology analysis to infer the mechanism and effective components. Targets for constituents in serum were predicted at TCMSP and Swiss-TargetPrediction database. An association network map was drawn by network visualization software Cytoscape 3.6.1. Finally, GO enrichment analysis and KEGG pathway enrichment analysis were carried out for the core target genes. By UHPLC-Q-TOF-MS, 18 prototype compounds were definitely identified, including five compounds from Astragali Radix, four compounds from Anemarrhenae Rhizoma, four compounds from Bupleuri Radix, four compounds from Cimicifugae Rhizoma, and one compound from Platycodonis Radix. Those components of Shengxian Decoction were closely associated with 13 key protein targets, including inflammatory factors, like IL6, IL1 B, TNF, PTGS2, IL10; redox enzymes CAT, HMOX1, and MPO; cardiovascular targets, like VEGFA, NOS3, and NOS2; and transmememial proteins CAV1 and INS. Network pharmacology analysis showed that the 18 compounds could be responsible for the treatment of chronic heart failure by regulating HIF-1 signaling pathways, PI3 K-Akt signaling pathways, cGMP-PKG signaling pathways, cAMP signaling pathways and TNF signaling pathways. This study provided a scientific basis for mechanism and effective ingredients of Shengxian Decoction.
Animals ; Chromatography, High Pressure Liquid ; Drugs, Chinese Herbal ; Heart Failure/genetics* ; Rats ; Rhizome ; Signal Transduction

The adjacent anatomy of the pelvis is complicated, with digestive, urinary, reproductive and other organs as well as important blood vessels and nerves. Therefore, accurate resection of pelvic tumors and precise reconstruction of defects after resection are extremely difficult. The development of medical 3D printing technology provides new ideas for precise resection and personalized reconstruction of pelvic tumors. The “triune” application of 3D printing personalized lesion model, osteotomy guide plate and reconstruction prosthesis in pelvic tumor limb salvage reconstruction treatment has achieved good clinical results. However, the current lack of normative guidance standards such as preparation and application of 3D printing personalized lesion model, osteotomy guide plate and reconstruction prosthesis restricts its promotion and application. The formulation of this consensus provides normative guidance for 3D printing personalized pelvic tumor limb salvage reconstruction treatment.