Objective: To investigate the trends in mortality and life loss of gastric cancer in Wenzhou City, Zhejiang Province from 2014 to 2023, so as to provide the evidence for formulating the prevention and control strategy for gastric cancer. Methods: The surveillance on causes of death data of permanent residents in Wenzhou City were collected through the Wenzhou Chronic Disease Monitoring and Management Information System from 2014 to 2023. The crude mortality of gastric cancer was calculated, and standardized by the data from the Sixth Chinese National Population Census in 2010. The life loss were measured using potential years of life lost (PYLL) and rate of potential years of life lost (PYLLR). The characteristics of mortality and life loss of gastric cancer in different genders and age groups were described. The trends in mortality and PYLLR of gastric cancer were analyzed using the average annual percent change (AAPC). Results: Totally 17 080 deaths were reported due to gastric cancer in Wenzhou City from 2014 to 2023, accounting for 12.58% and ranking third in the order of malignant tumor deaths. The crude mortality of gastric cancer was 20.73/105, and the standardized mortality was 15.22/105, showing decreasing trends (AAPC=-3.311%, -6.470%, both P<0.05). The crude mortality of gastric cancer was 29.22/105 in men and 11.61/105 in women, with standardized mortality rates of 20.81/105 and 8.74/105 (both P<0.05). The crude mortality of gastric cancer appeared a tendency towards a rise with increasing age (P<0.05), reaching the highest rate of 225.88/105 in the group aged 80 to <85 years. The PYLL and PYLLR of gastric cancer were 107 607.50 person-years and 1.37‰. The PYLLR appeared a tendency towards a decline from 2014 to 2023, with AAPC of -6.667% (P<0.05). Conclusions The mortality and PYLLR of gastric cancer in Wenzhou City appeared a tendency towards a decline from 2014 to 2023. Men and the elderly populations were the key groups for the prevention and treatment of gastric cancer.

AIM: To analyze the influencing factors of capsular constriction syndrome(CCS)in cataract patients after phacoemulsification(Phaco)combined with intraocular lens(IOL)implantation.METHODS: Retrospective study. The data of 2 900 cataract patients(2 900 eyes)in our hospital's information system from January 2021 to January 2024 were collected. All patients were treated with Phaco combined with IOL implantation, and the incidence of CCS within 30 wk after surgery was recorded. Patients were categorized into CCS(116 cases, 116 eyes)and N-CCS group(2 784 cases, 2 784 eyes)based on the occurrence of CCS. The basic data of the two groups were compared, and the influencing factors of CCS within 30 wk after Phaco combined with IOL implantation in cataract patients were analyzed by multivariate Logistic regression.RESULTS: Among 2 900 patients(2 900 eyes)included, 116 cataract patients(116 eyes)developed CCS within 30 wk after Phaco combined with IOL implantation, with an incidence rate of 4.00%. The single factor and multi-factor Logistic regression analysis showed that the complicated diabetes, high myopia, complicated glaucoma, and axial length(AL)>30 mm were the risk factors for the occurrence of CCS after Phaco IOL implantation in cataract patients(all P<0.05).CONCLUSION: Attention should be paid to cataract patients with diabetes, high myopia, glaucoma and AL>30 mm, which will increase the risk of CCS within 30 wk after Phaco combined with IOL implantation in cataract patients.

BACKGROUND:In recent years,numerous studies have shown that autophagy and mitophagy play an important role in the regulation of bone metabolism.Under non-physiological conditions,mitophagy breaks the balance of bone metabolism and triggers metabolism disorders,which affect osteoblasts,osteoclasts,osteocytes,chondrocytes,bone marrow mesenchymal stem cells,etc. OBJECTIVE:To summarize the mechanism of mitophagy in regulating bone metabolic diseases and its application in clinical treatment. METHODS:PubMed,Web of Science,CNKI,WanFang and VIP databases were searched by computer using the keywords of"mitophagy,bone metabolism,osteoblasts,osteoclasts,osteocytes,chondrocytes,bone marrow mesenchymal stem cells"in English and Chinese.The search time was from 2008 to 2023.According to the inclusion criteria,90 articles were finally included for review and analysis. RESULTS AND CONCLUSION:Mitophagy promotes the generation of osteoblasts through SIRT1,PINK1/Parkin,FOXO3 and PI3K signaling pathways,while inhibiting osteoclast function through PINK1/Parkin and SIRT1 signaling pathways.Mitophagy leads to bone loss by increasing calcium phosphate particles and tissue protein kinase K in bone tissue.Mitophagy improves the function of chondrocytes through PINK1/Parkin,PI3K/AKT/mTOR and AMPK signaling pathways.Modulation of mitophagy shows great potential in the treatment of bone diseases,but there are still some issues to be further explored,such as different stages of drug-activated mitophagy,and the regulatory mechanisms of different signaling pathways.

A high-performance liquid chromatography method using pre-column derivatization with 6-aminoquinolyl-N-hydroxysuccinimidyl carbamate was developed to determine the content of 15 amino acids in the medicinal snakes Bungarus Parvus, Agkistrodon, and Zaocys. The results showed that the total amino acid(TAA) content ranged from 277.13 to 515.05 mg·g~(-1), with the top four amino acids in all three species being glutamic acid(Glu), glycine(Gly), aspartic acid(Asp), and lysine(Lys). The essential amino acid(EAA) content ranged from 74.56 to 203.94 mg·g~(-1), with Agkistrodon exhibiting the highest content. The non-essential amino acid(NEAA), semi-essential amino acid(semi-EAA), and medicinal amino acid(MAA) content ranged from 189.06 to 318.23, 12.89 to 33.53, and 179.83 to 342.33 mg·g~(-1), respectively, with Zaocys having the highest content in these categories. Amino acid nutritional value was evaluated using the amino acid ratio(RAA), amino acid ratio coefficient(RCAA), and amino acid ratio coefficient score(SRCAA), and the results indicated that all three medicinal snakes possessed good nutritional value. The amino acid composition was similar across the species, though significant differences in content were observed. Based on these differences, an orthogonal partial least squares-discriminant analysis(OPLS-DA) model was established, which could clearly distinguish between the three medicinal snake species. The key differences in amino acid content included Gly, tyrosine(Tyr), Glu, and serine(Ser), which may be related to the observed clinical application differences among the species. Further research into the mechanisms of these differential amino acids is expected to provide more insights into the clinical application disparities of these three medicinal snake species.
Amino Acids/chemistry* ; Animals ; Nutritive Value ; Chromatography, High Pressure Liquid ; Snakes/classification* ; Bungarus

Objective: To design HBV DNA proficiency testing and system comparison samples with different concentration gradients, analyze their detection results in PCR detection systems, evaluate the nucleic acid detection capabilities of laboratories and differences between detection systems, and put forward suggestions for continuous quality improvement to participating laboratories. Methods: Three groups of randomly numbered proficiency testing samples (with HBV DNA reference concentrations of <2, 7.5, and 30 IU/mL respectively) were taken as the detection objects. Using nucleic acid test data from 11 provincial blood station laboratories as the source, the samples were grouped by detection system and laboratory successively, and statistical analysis was conducted. Results: Statistical analysis of the detection data of the three groups of samples based on detection systems and laboratories showed that from low to high concentration, the coincidence rate between the detection results of different detection systems and laboratories and the expected results showed an increasing trend: 38.89%, 85.90%, and 100.00%; the same system exhibited certain differences in performance among different laboratories. Conclusion: Through this proficiency testing and system comparison, it is found that there are certain differences in the detection capabilities of different laboratories and different nucleic acid test systems. Blood station laboratories should standardize processes, strengthen quality management and data analysis on the basis of being familiar with the detection performance of their detection systems, and at the same time strengthen the control of laboratory interference factors to continuously improve the nucleic acid detection capabilities of blood station laboratories.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

ObjectiveTo establish a subcutaneous xenograft model of gastric cancer in nude mice and to identify differentially expressed genes （DEGs） affected by Jianpi Yangzheng Xiaozheng formula （JPYZXZ） in diffuse gastric cancer （DGC） using transcriptome sequencing. The study aims to identify potential key prognostic factors and preliminarily elucidate the therapeutic mechanism of JPYZXZ. MethodsSubcutaneous tumor tissues were collected from nude mice treated with JPYZXZ （6 g·kg^-1）and from the untreated traditional Chinese medicine control group. High-throughput RNA sequencing was performed to extract and analyze total RNA and identify DEGs， followed by functional enrichment analysis. DEGs were intersected with cancer-associated fibroblast （CAF）-related genes identified from single-cell RNA sequencing （scRNA-seq） data. A Cox proportional hazards regression model （Cox model） was constructed to identify potential key targets， among which DAZ interacting protein 1 （DZIP1） was selected. The role of DZIP1 in DGC progression was further verified through in vitro and in vivo experiments. ResultsTranscriptome sequencing revealed that DEGs regulated by JPYZXZ were significantly enriched in biological processes such as focal adhesion， phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt） signaling pathway， and vascular development （P<0.05）. Intersection analysis with CAF marker genes identified ten potential common target genes. Cox regression analysis combined with the Cancer Genome Atlas （TCGA） dataset for stomach adenocarcinoma （STAD） confirmed that DZIP1 is an independent prognostic factor significantly associated with poor outcomes. Transcriptome and immunohistochemical analyses showed that DZIP1 expression was significantly higher in gastric cancer tissues than in adjacent tissues， while JPYZXZ treatment downregulated DZIP1 expression in a dose-dependent manner. Clinical data further demonstrated that serum DZIP1 levels in patients treated with JPYZXZ were significantly lower than those in the control group. ConclusionJPYZXZ may inhibit the malignant progression of DGC by downregulating DZIP1 expression， thereby suppressing CAF activation and epithelial-mesenchymal transition （EMT）. These findings provide experimental evidence and identify DZIP1 as a potential therapeutic target in DGC treatment.

ObjectiveTo establish a subcutaneous xenograft model of gastric cancer in nude mice and to identify differentially expressed genes （DEGs） affected by Jianpi Yangzheng Xiaozheng formula （JPYZXZ） in diffuse gastric cancer （DGC） using transcriptome sequencing. The study aims to identify potential key prognostic factors and preliminarily elucidate the therapeutic mechanism of JPYZXZ. MethodsSubcutaneous tumor tissues were collected from nude mice treated with JPYZXZ （6 g·kg^-1）and from the untreated traditional Chinese medicine control group. High-throughput RNA sequencing was performed to extract and analyze total RNA and identify DEGs， followed by functional enrichment analysis. DEGs were intersected with cancer-associated fibroblast （CAF）-related genes identified from single-cell RNA sequencing （scRNA-seq） data. A Cox proportional hazards regression model （Cox model） was constructed to identify potential key targets， among which DAZ interacting protein 1 （DZIP1） was selected. The role of DZIP1 in DGC progression was further verified through in vitro and in vivo experiments. ResultsTranscriptome sequencing revealed that DEGs regulated by JPYZXZ were significantly enriched in biological processes such as focal adhesion， phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt） signaling pathway， and vascular development （P<0.05）. Intersection analysis with CAF marker genes identified ten potential common target genes. Cox regression analysis combined with the Cancer Genome Atlas （TCGA） dataset for stomach adenocarcinoma （STAD） confirmed that DZIP1 is an independent prognostic factor significantly associated with poor outcomes. Transcriptome and immunohistochemical analyses showed that DZIP1 expression was significantly higher in gastric cancer tissues than in adjacent tissues， while JPYZXZ treatment downregulated DZIP1 expression in a dose-dependent manner. Clinical data further demonstrated that serum DZIP1 levels in patients treated with JPYZXZ were significantly lower than those in the control group. ConclusionJPYZXZ may inhibit the malignant progression of DGC by downregulating DZIP1 expression， thereby suppressing CAF activation and epithelial-mesenchymal transition （EMT）. These findings provide experimental evidence and identify DZIP1 as a potential therapeutic target in DGC treatment.