Objective To explore the prevalence of depressive symptoms in postoperative patients with ovarian cancer and to analyze its influencing factors from multiple dimensions, including clinical characteristics, psychological factors, and laboratory indicators. Methods A cross-sectional study was conducted, which enrolled 235 postoperative patients with ovarian cancer. Depressive status was assessed using the patient health questionnaire, and the demographic, pathological, and medical record data of the patients were collected using the generalized anxiety disorder scale, Pittsburgh sleep quality index, European organization for research and treatment of cancer quality of life questionnaire core 30, and ECOG performance status score. Peripheral blood tumor marker (CA125), routine blood test, lymphocyte subsets, and serum cytokine levels were measured. Univariate and multivariate binary logistic regression analysis were used for statistical analysis. Results The prevalence of depression in postoperative patients with ovarian cancer was 39.15% (92/235). Univariate analysis showed that ECOG score ≥ 2 points, pain, anxiety, poor sleep quality, low quality of life, low life satisfaction, tumor recurrence, six or more cycles of chemotherapy, as well as higher levels of CA125, NLR, and NAR, and lower hemoglobin levels were significantly associated with depression (all P<0.05). Multivariate binary Logistic regression analysis showed that anxiety (OR=1.975, 95%CI: 1.231-3.170), sleep efficiency (OR=4.181, 95%CI: 1.211-14.43), sleep latency (OR=34.806, 95%CI: 4.258-284.542), ECOG performance status score, cognitive function (OR=0.918, 95%CI: 0.868-0.97), and life satisfaction were independent risk factors for depression (all P<0.05). Laboratory indicators were not independent influencing factors in the multivariate Logistic regression model. Conclusion Depression in postoperative patients with ovarian cancer is influenced by physiological, psychological, and social factors. Clinical management should focus on patients with anxiety, sleep disorders, poor physical condition, and low life satisfaction, and a comprehensive prevention and treatment strategy centered on psychological intervention and taking into account symptom management and social support should be implemented.

Objective:To examine the near-complete genomic analysis of norovirus (NoV) subtype GⅡ.17 [P17] outbreaks in Beijing Chaoyang District from 2014 to 2024.Methods:Data and specimens related to outbreaks of the NoV aggregation in Beijing′s Chaoyang District from 2014 to 2024 were collected. The NoV was identified using real-time fluorescence reverse transcription polymerase chain reaction (RT-PCR). Specimens with positive nucleic acid were amplified by standard PCR, whole genome sequencing and evolutionary analysis. Amino acid site variations were compared.Results:In Chaoyang District, from 2014 to 2024, a total of 637 aggregated outbreaks caused by the NoV infection were reported, of which 584 were successfully typed. The epidemic caused by the GⅡ.17 [P17] subtype accounted for 8.79% (56/637), which was the dominant epidemic gene subtype in 2014-2015, sporadic in 2016-2019, reappeared in 2022, and significantly increased in 2024 (27.27%, 24/88). Outbreaks caused by the GⅡ.17 [P17] subtype occurred mainly from October to December, with the main sites of occurrence in primary schools and kindergartens. This study yielded 53 near-complete genome sequences of the GⅡ.17 [P17] subtype from 46 incidents in Chaoyang District. The GⅡ.17 [P17] subtype sequences of Chaoyang District from 2014 to 2024 were segmented into three subgroups on the evolutionary tree, with sequences from 2014 to 2019, 2022 to April 2024, and May to December 2024 clustered into the d, e, and b subgroups, respectively. In the VP1 region′s P2 area, particularly at the HBGA binding site, subgroups b and e exhibited mutations in 22 and two sites, while subgroups b and e showed mutations in four and one sites, predominantly in the RdRp region.Conclusion:The outbreak caused by the NoV GⅡ.17 [P17] subtype in Chaoyang District from 2014 to 2024 continues, with a significant increase in 2024, and it becomes the dominant gene subtype from October to December. The sequence formation of the NoV GⅡ.17 [P17] subtype in Chaoyang District from January to April 2022 and from May to December 2024 shows two different evolutions, with specific mutation sites, requiring continuous monitoring of the NoV GⅡ.17 [P17] subtype.

Objective Aimed at investigating the effect and molecular mechanism of artemisinin on hemo-dynamics and vascular remodeling in monocrotaline(MCT)-induced pulmonary arterial hypertension(PAH)rats.Methods 30 male SD rats were randomly divided into 3 groups(n=10):control group,MCT-induced PAH group(MCT group,60 mg/kg)and artemisinin intervention group(50 mg/kg).At 28 days after modeling,the right ventricular systolic pressure(RVSP),mean pulmonary artery pressure(mPAP),heart rate and right ventricular hypertrophy index(RVHI)were measured to evaluate the development of PAH.HE staining and α-SMA immuno-histochemistry were used to observe the morphology and assess muscularization of pulmonary arterioles,and the percentage of medial wall thickness(WT%),the percentage of vascular wall area(WA%)and the proportion of muscular vessels were calculated to evaluate the degree of pulmonary vascular remodeling.The mRNA and protein levels of HIF-1α and LDHA were detected by real-time PCR and Western blot,respectively.Pyruvate and lactate concentration in lung tissue was measured using pyruvate and lactateassay kit.Results Compared with the control group,the RVSP,mPAP,heart rate and RVHI were significantly increased in MCT-induced PAH rats(all P<0.05).Histological analysis showed that the increasedmedial wall thickness of small pulmonary arteries and vascular muscularization were observed in MCT-treated rats compared with control rats.WT%,WA%and muscularization degrees of pulmonary arterioles were higher in MCT-treated rats than those in the control group(all P<0.05),suggesting successful construction of PAH model.Compared with the MCT group,the RVSP,mPAP,heart rate and RVHI decreased in the rats treated with artemisinin(all P<0.05),accompanied with lower WT%and WA%(P<0.05),and muscularization of pulmonary arterioles was improved(P<0.05).Further study showed the mRNA and protein levels ofHIF-1α and LDHA in lung tissue of MCT-induced PAH rats were higher than those in the control group,the content of lactate and pyruvate and the ratio of lactate to pyruvate were higher than that in the control group(all P<0.05).However,the mRNA and protein levels of HIF-1α and LDHA in lung tissue of rats treated with artemisinin were lower than those in the MCT group,the content of lactate and pyruvate and the ratio of lactate to pyruvate were lower than that in the MCT group(all P<0.05).Conclusion Artemisinin improves hemodynamic and pulmonary vascular remodeling in PAH rats through inhibiting HIF-1α/LDHA signaling pathway-mediated glycolysis.

Deficiencies remain in the early identification and screening method for type 2 diabetes mellitus(T2DM).Relying solely on blood glucose indicators as diagnostic criteria fails to capture the systematic evolution of glucose metabolism destabilization and does not allow for the identification of the critical transition period preceding the onset of T2DM.In the complex system of the human body,structural and state variables correspond to the traditional Chinese medicine concepts of"zang"and"xiang."These variables determine the landscape of the systemic state changes over time.The pathogenesis of T2DM is characterized by a shift from compensatory insulin secretion to β-cell dysfunction,driven by negative-positive feedback dynamics,ultimately resulting in a marked increase in blood glucose levels.A critical transition exists between glycemic homeostasis and the establishment of T2DM disease homeostasis.Using theoretical approaches such as critical slowing and dynamic network markers in dynamical systems theory,various clinical case data-including four-diagnosis information,multiple biological samples,and histological analysis method-can be leveraged to identify the critical transition key stage from pre-disease to disease of T2DM,facilitating early intervention.This paper aims to develop a dynamic model describing the transition from"glucose homeostasis-glycemic state of instability-steady state of T2DM"by analyzing the mechanism of the complex human system and the dynamic characteristics underlying T2DM onset.This framework aims to enhance early identification method.Establishing this holistic approach offers a novel perspective for the prevention and treatment of T2DM.

Lacking therapeutic targets highlights the crucial roles of chemotherapy and radiotherapy in the clinical management of triple-negative breast cancer (TNBC). To relieve the side effects of the chemoradiotherapy combination regimen, we design and develop a self-assembled micelle nanosystem consisting of perfluorocarbon chain-modified cisplatin prodrug. By incorporating perfluorodecalin, this nanosystem can effectively carry ozone and promote irradiation-derived reactive oxygen species (ROS) production. By leveraging the perfluorocarbon sidechain, the nanosystem exhibits efficient internalization by TNBC cells and effectively escapes from lysosomal entrapment. Under X-ray irradiation, ozone-generated ROS disrupts the intracellular redox balance, thereby facilitating the release of cisplatin in a reduction-responsive manner mediated by reduced glutathione. Moreover, oxygen derived from ozone decomposition enhances the efficacy of radiotherapy by alleviating tumor hypoxia. Notably, the combination of irradiation with ozone-loaded cisplatin prodrug nano system synergistically prompts antitumor efficacy and reduces cellular/systemic toxicity in vitro and in vivo. Furthermore, the combo regimen remodels the tumor microenvironment into an immune-favored state by triggering immunogenic cell death and relieving hypoxia, which provides a promising foundation for a combination regimen of immunotherapy. In conclusion, our nanosystem presents a novel strategy for integrating chemotherapy and radiotherapy to optimize the efficacy and safety of TNBC clinical treatment.

Objective:To examine the near-complete genomic analysis of norovirus (NoV) subtype GⅡ.17 [P17] outbreaks in Beijing Chaoyang District from 2014 to 2024.Methods:Data and specimens related to outbreaks of the NoV aggregation in Beijing′s Chaoyang District from 2014 to 2024 were collected. The NoV was identified using real-time fluorescence reverse transcription polymerase chain reaction (RT-PCR). Specimens with positive nucleic acid were amplified by standard PCR, whole genome sequencing and evolutionary analysis. Amino acid site variations were compared.Results:In Chaoyang District, from 2014 to 2024, a total of 637 aggregated outbreaks caused by the NoV infection were reported, of which 584 were successfully typed. The epidemic caused by the GⅡ.17 [P17] subtype accounted for 8.79% (56/637), which was the dominant epidemic gene subtype in 2014-2015, sporadic in 2016-2019, reappeared in 2022, and significantly increased in 2024 (27.27%, 24/88). Outbreaks caused by the GⅡ.17 [P17] subtype occurred mainly from October to December, with the main sites of occurrence in primary schools and kindergartens. This study yielded 53 near-complete genome sequences of the GⅡ.17 [P17] subtype from 46 incidents in Chaoyang District. The GⅡ.17 [P17] subtype sequences of Chaoyang District from 2014 to 2024 were segmented into three subgroups on the evolutionary tree, with sequences from 2014 to 2019, 2022 to April 2024, and May to December 2024 clustered into the d, e, and b subgroups, respectively. In the VP1 region′s P2 area, particularly at the HBGA binding site, subgroups b and e exhibited mutations in 22 and two sites, while subgroups b and e showed mutations in four and one sites, predominantly in the RdRp region.Conclusion:The outbreak caused by the NoV GⅡ.17 [P17] subtype in Chaoyang District from 2014 to 2024 continues, with a significant increase in 2024, and it becomes the dominant gene subtype from October to December. The sequence formation of the NoV GⅡ.17 [P17] subtype in Chaoyang District from January to April 2022 and from May to December 2024 shows two different evolutions, with specific mutation sites, requiring continuous monitoring of the NoV GⅡ.17 [P17] subtype.

Deficiencies remain in the early identification and screening method for type 2 diabetes mellitus(T2DM).Relying solely on blood glucose indicators as diagnostic criteria fails to capture the systematic evolution of glucose metabolism destabilization and does not allow for the identification of the critical transition period preceding the onset of T2DM.In the complex system of the human body,structural and state variables correspond to the traditional Chinese medicine concepts of"zang"and"xiang."These variables determine the landscape of the systemic state changes over time.The pathogenesis of T2DM is characterized by a shift from compensatory insulin secretion to β-cell dysfunction,driven by negative-positive feedback dynamics,ultimately resulting in a marked increase in blood glucose levels.A critical transition exists between glycemic homeostasis and the establishment of T2DM disease homeostasis.Using theoretical approaches such as critical slowing and dynamic network markers in dynamical systems theory,various clinical case data-including four-diagnosis information,multiple biological samples,and histological analysis method-can be leveraged to identify the critical transition key stage from pre-disease to disease of T2DM,facilitating early intervention.This paper aims to develop a dynamic model describing the transition from"glucose homeostasis-glycemic state of instability-steady state of T2DM"by analyzing the mechanism of the complex human system and the dynamic characteristics underlying T2DM onset.This framework aims to enhance early identification method.Establishing this holistic approach offers a novel perspective for the prevention and treatment of T2DM.

Objective Aimed at investigating the effect and molecular mechanism of artemisinin on hemo-dynamics and vascular remodeling in monocrotaline(MCT)-induced pulmonary arterial hypertension(PAH)rats.Methods 30 male SD rats were randomly divided into 3 groups(n=10):control group,MCT-induced PAH group(MCT group,60 mg/kg)and artemisinin intervention group(50 mg/kg).At 28 days after modeling,the right ventricular systolic pressure(RVSP),mean pulmonary artery pressure(mPAP),heart rate and right ventricular hypertrophy index(RVHI)were measured to evaluate the development of PAH.HE staining and α-SMA immuno-histochemistry were used to observe the morphology and assess muscularization of pulmonary arterioles,and the percentage of medial wall thickness(WT%),the percentage of vascular wall area(WA%)and the proportion of muscular vessels were calculated to evaluate the degree of pulmonary vascular remodeling.The mRNA and protein levels of HIF-1α and LDHA were detected by real-time PCR and Western blot,respectively.Pyruvate and lactate concentration in lung tissue was measured using pyruvate and lactateassay kit.Results Compared with the control group,the RVSP,mPAP,heart rate and RVHI were significantly increased in MCT-induced PAH rats(all P<0.05).Histological analysis showed that the increasedmedial wall thickness of small pulmonary arteries and vascular muscularization were observed in MCT-treated rats compared with control rats.WT%,WA%and muscularization degrees of pulmonary arterioles were higher in MCT-treated rats than those in the control group(all P<0.05),suggesting successful construction of PAH model.Compared with the MCT group,the RVSP,mPAP,heart rate and RVHI decreased in the rats treated with artemisinin(all P<0.05),accompanied with lower WT%and WA%(P<0.05),and muscularization of pulmonary arterioles was improved(P<0.05).Further study showed the mRNA and protein levels ofHIF-1α and LDHA in lung tissue of MCT-induced PAH rats were higher than those in the control group,the content of lactate and pyruvate and the ratio of lactate to pyruvate were higher than that in the control group(all P<0.05).However,the mRNA and protein levels of HIF-1α and LDHA in lung tissue of rats treated with artemisinin were lower than those in the MCT group,the content of lactate and pyruvate and the ratio of lactate to pyruvate were lower than that in the MCT group(all P<0.05).Conclusion Artemisinin improves hemodynamic and pulmonary vascular remodeling in PAH rats through inhibiting HIF-1α/LDHA signaling pathway-mediated glycolysis.

The "pre-disease" theory of traditional Chinese medicine focuses on the dynamic and continuous evolution from health to disease, and emphasizes early identification and intervention in the complex and gradual process of evolution from health to disease. The "pre-disease" theory and complexity science share the same perspective on health and disease from the standpoint of features of the dynamic evolution and holism, i. e., life is considered as a complex system with ongoing dynamic changes, which exhibit the nonlinear features of " homeostasis-destabilization-phase transition-another homeostasis". In this paper, from the perspective of nonlinear dynamics in complexity science, we explain the scientific connotation of the evolution law of "pre-disease"-disease based on the theory of critical slowing down in traditional Chinese medicine. Based on the theory of critical slowing down and the dynamic network biomarker method generated by its development, combined with the macro signs of comprehensive analysis of data gained by four diagnostic method and the micro features including transcriptomics and the microbiomics, this paper proposes to integrate macro and micro multi-hierarchy information to construct a "pre-disease" critical slowing down identification model with the characteristics of traditional Chinese medicine diagnosis and treatment, which provides a new perspective and method for the early warning of complex diseases.

Objective:To analyze the epidemiological characteristics of norovirus (NoV) acute gastroenteritis (AGE) outbreaks caused by GII.17[P17] variant in China, 2022.Methods:Information and specimens of AGE outbreaks between January and December 2022 were collected. NoV RNA was detected in all specimens by real-time RT-PCR. The viral genome of the positive specimens were amplified, sequenced and analyzed.Results:Between January and December 2022, 360 AGE outbreaks were reported cumulatively, of which 266 outbreaks successfully obtained genotype results. GII.17 [P17] was one of the main genotypes and detected in 34 outbreaks (12.78%, 34/266), with the highest number of outbreaks detected in spring (6 outbreaks in March and 7 outbreaks in May), mainly in childcare facilities and primary schools (61.76%, 21/34). According to the result of NoV genotype analysis in different age groups, 14 strains of GII.17 [P17] in this study belonged to Cluster III b and SC III branch of Cluster III (Kawasaki308) in the capsid region and polymerase region, respectively, and both belonged to the same cluster as the variant strain (GZ41621 strain) that caused the NoV AGE outbreaks in China during the 2014/15 season. Compared to reference strains of Cluster I, Cluster II and Cluster III a, Cluster III b was provided with 22 amino acid mutations in VP1. The main amino acid changes in the subgroup of Cluster III b including the virus strains isolated in this study were at T294I and Q299R of antigen epitope A, an insertion mutation occurred at antigen epitope D, H353Q at the site I of the human histo-blood group antigen receptor binding site. The selection pressure analysis detected a large number of negative selection sites, indicating that negative selection plays an important role in the evolution of VP1 genes.Conclusions:GII.17 [P17] was one of the primary genotypes responsible for NoV diarrhea outbreaks in China in 2022. Phylogenetic analysis had revealed that it still belonged to the same cluster as the novel GII.17 [P17] variant (strain GZ41621) that caused NoV epidemics in China during the 2014/15 season, exhibiting minor amino acid variations at the potential epitope.