Abstract The prevention and control of myopia in Chinese children and adolescents has become a major public health issue. While maintaining increased outdoor activity as a cornerstone intervention, there is an urgent need to explore new complementary approaches that can be effectively implemented in both indoor and outdoor settings. In recent years, environmental spatial frequency has gained increasing attention as one of the key environmental factors influencing the development and progression of myopia. Both animal studies and human research have confirmed that indoor environments lacking mid to high spatial frequency components, often characterized as "visually impoverished", can promote axial elongation and myopia through mechanisms such as disruption of retinal neural signaling, impaired accommodative function, and altered expression of related molecules. Based on the scientific consensus, it is recommended that "enriching of environmental spatial frequency" should be integrated into the myopia prevention and control framework. Following the principles of schoolled organization, family cooperation, community involvement, and student participation, specific measures are put forward in three areas：optimizing school visual settings, improving home spatial environments, and promoting healthy visual behavior. The aim is to create "visually friendly" indoor environments as an important supplement to outdoor activity, thereby providing a novel perspective and strategy for comprehensively advancing myopia prevention and control among children and adolescents.

Objective: To investigate the prevalence and influencing factors of hepatitis C virus (HCV) infection among drug users in Baoshan District, Shanghai Municipality, so as to provide insights into strengthening HCV intervention among drug users. Methods: Drug users under community management in Baoshan District from 2017 to 2023 were recruited. Demographic information, drug use behaviors, sexual behaviors and receipt of intervention service were collected through questionnaire surveys. Blood samples were collected for HCV antibody testing, and the prevalence of anti-HCV antibody was analyzed. Factors affecting the prevalence of anti-HCV antibody among drug users were analyzed using a multivariable logistic regression model. Results: A total of 2 801 drug users were surveyed, including 2 233 males (79.72%) and 568 females (20.28%). The majority of drug users were aged 40 to <60 years (1 663 drug users, 59.37%). The prevalence of anti-HCV antibody was 28.35%, showing an overall upward trend from 2017 to 2023 (P<0.05). Multivariable logistic regression analysis showed that females (OR=1.468, 95%CI: 1.169-1.844), 40 years and over (40 to <50 years, OR=2.441, 95%CI: 1.838-3.242; 50 to <60 years, OR=2.377, 95%CI: 1.787-3.161; 60 to 97 years, OR=1.637, 95%CI: 1.163-2.304), using traditional drugs (OR=2.488, 95%CI: 1.967-3.147) or mixed drugs (OR=2.950, 95%CI: 1.974-4.409), having injected drugs (not share needles, OR=3.649, 95%CI: 2.849-4.673; share needles, OR=3.532, 95%CI: 1.851-6.738) and never using condoms during sexual contacts with spouses/cohabitants in the past year (OR=1.975, 95%CI: 1.354-2.879) were associated with a higher prevalence of anti-HCV antibody; the educational level of high school/technical secondary school (OR=0.483, 95%CI: 0.280-0.835) or college and above (OR=0.280, 95%CI: 0.129-0.608) was associated with a lower prevalence of anti-HCV antibody. Conclusions The prevalence of anti-HCV antibody among drug users in Baoshan District showed an upward trend from 2017 to 2023. Gender, age, educational level, type of drugs, history of drug injection and never using condoms during sexual contacts with spouses/cohabitants were influencing factors for prevalence of anti-HCV antibody among drug users.

AIM: To investigate the relationship between the levels of interleukin-6(IL-6)and IL-2 in aqueous humor and the severity of optic nerve injury in patients with primary open-angle glaucoma(POAG), and to construct a decision tree model for the severity of optic nerve injury in POAG patients.METHODS: A prospective study was conducted on 107 patients(107 eyes)with POAG who were admitted to the hospital from May 2021 to October 2023. According to the mean defect(MD)value, the degree of optic nerve injury was judged and divided into three groups: mild, moderate and severe. The general data, IL-6 and IL-2 levels in aqueous humor of patients with different severity of optic nerve injury were compared, and the correlation between the levels of IL-6 and IL-2 in aqueous humor and the severity of optic nerve injury in POAG patients was analyzed. Multivariate Logistic regression analysis was used to test the influencing factors of the severity of optic nerve injury in POAG patients, and the decision tree model was constructed based on influencing factors.RESULTS: The proportion of patients with hypertension, intraocular pressure and binocular intraocular pressure difference in the severe group was higher than that in the mild and moderate groups, and the levels of IL-6 and IL-2 in the aqueous humor were significantly lower than those in the mild and moderate groups(all P<0.05). The levels of IL-6 and IL-2 in aqueous humor of POAG patients were negatively correlated with the severity of optic nerve injury(r=-0.361, -0.358, all P<0.001). Hypertension, intraocular pressure, binocular intraocular pressure difference, IL-6 and IL-2 levels in aqueous humor were independent factors affecting the degree of optic nerve injury in POAG patients(all P<0.05). Based on the above factors, a decision tree model was constructed, and three explanatory variables of IL-6, IL-2 levels in aqueous humor and hypertension were screened out. Among them, IL-2 level in aqueous humor was the most important root node variable and the most important predictor. The AUC of the decision tree model was 0.710(95% CI: 0.599-0.820, P=0.001), the sensitivity was 0.581, the specificity was 0.737, and the Youden index was 0.318, with a high predictive value.CONCLUSION: The levels of IL-6 and IL-2 in aqueous humor were significantly correlated with the severity of optic nerve injury in POAG patients. The decision tree model based on hypertension, intraocular pressure, binocular intraocular pressure difference, IL-6 and IL-2 levels in aqueous humor has a high evaluation value for the severity of optic nerve injury in POAG patients.

AIM: To investigate the relationship between the levels of interleukin-6(IL-6)and IL-2 in aqueous humor and the severity of optic nerve injury in patients with primary open-angle glaucoma(POAG), and to construct a decision tree model for the severity of optic nerve injury in POAG patients.METHODS: A prospective study was conducted on 107 patients(107 eyes)with POAG who were admitted to the hospital from May 2021 to October 2023. According to the mean defect(MD)value, the degree of optic nerve injury was judged and divided into three groups: mild, moderate and severe. The general data, IL-6 and IL-2 levels in aqueous humor of patients with different severity of optic nerve injury were compared, and the correlation between the levels of IL-6 and IL-2 in aqueous humor and the severity of optic nerve injury in POAG patients was analyzed. Multivariate Logistic regression analysis was used to test the influencing factors of the severity of optic nerve injury in POAG patients, and the decision tree model was constructed based on influencing factors.RESULTS: The proportion of patients with hypertension, intraocular pressure and binocular intraocular pressure difference in the severe group was higher than that in the mild and moderate groups, and the levels of IL-6 and IL-2 in the aqueous humor were significantly lower than those in the mild and moderate groups(all P<0.05). The levels of IL-6 and IL-2 in aqueous humor of POAG patients were negatively correlated with the severity of optic nerve injury(r=-0.361, -0.358, all P<0.001). Hypertension, intraocular pressure, binocular intraocular pressure difference, IL-6 and IL-2 levels in aqueous humor were independent factors affecting the degree of optic nerve injury in POAG patients(all P<0.05). Based on the above factors, a decision tree model was constructed, and three explanatory variables of IL-6, IL-2 levels in aqueous humor and hypertension were screened out. Among them, IL-2 level in aqueous humor was the most important root node variable and the most important predictor. The AUC of the decision tree model was 0.710(95% CI: 0.599-0.820, P=0.001), the sensitivity was 0.581, the specificity was 0.737, and the Youden index was 0.318, with a high predictive value.CONCLUSION: The levels of IL-6 and IL-2 in aqueous humor were significantly correlated with the severity of optic nerve injury in POAG patients. The decision tree model based on hypertension, intraocular pressure, binocular intraocular pressure difference, IL-6 and IL-2 levels in aqueous humor has a high evaluation value for the severity of optic nerve injury in POAG patients.

Perineural invasion (PNI) by tumor cells is a key phenotype of highly-invasive oral squamous cell carcinoma (OSCC). Since Schwann cells (SCs) and fibroblasts maintain the physiological homeostasis of the peripheral nervous system, and we have focused on cancer-associated fibroblasts (CAFs) for decades, it's imperative to elucidate the impact of CAFs on SCs in PNI⁺ OSCCs. We describe a disease progression-driven shift of PNI^- towards PNI⁺ during the progression of early-stage OSCC (31%, n = 125) to late-stage OSCC (53%, n = 97), characterized by abundant CAFs and nerve demyelination. CAFs inhibited SC proliferation/migration and reduced neurotrophic factors and myelin in vitro, and this involved up-regulated ER stress and decreased MAPK signals. Moreover, CAFs also aggravated the paralysis of the hind limb and PNI in vivo. Unexpectedly, leukemia inhibitory factor (LIF) was exclusively expressed on CAFs and up-regulated in metastatic OSCC. The LIF inhibitor EC330 restored CAF-induced SC inactivation. Thus, OSCC-derived CAFs inactivate SCs to aggravate nerve injury and PNI development.
Schwann Cells/metabolism* ; Mouth Neoplasms/metabolism* ; Humans ; Cancer-Associated Fibroblasts/metabolism* ; Animals ; Carcinoma, Squamous Cell/metabolism* ; Neoplasm Invasiveness/pathology* ; Male ; Female ; Mice ; Cell Movement/physiology* ; Cell Proliferation/physiology* ; Cell Line, Tumor ; Leukemia Inhibitory Factor/metabolism* ; Middle Aged

The bioactivity-guided isolation of potentially active natural products has been widely utilized in pharmaceutical discovery. In this study, by screening fungal extracts against coxsackievirus B3 (CVB3), three new aspochalasins, templichalasins A‒C (1‒3), along with six known aspochalasins (4‒9) were isolated from an active extract derived from the endophytic fungus Aspergillus templicola LHWf045. Compound 1 features a unique 5/6/5/7/5 pentacyclic ring system, while compounds 2 and 3 possess unusual 5/6/6/7 tetracyclic skeletons. Their structures were characterized through extensive spectroscopic analyses, electronic circular dichroism (ECD) calculations, and single-crystal X-ray diffraction analysis. Additionally, we demonstrated that compound 4 can be readily converted into compounds 1‒3 under mild acidic conditions and proposed a plausible mechanism for this conversion. Bioactivity evaluation of compounds 1‒9 against CVB3 revealed the inhibitory effects of all compounds against the virus. Notably, compound 9 exhibited superior antiviral activity, surpassing the commercial drug ribavirin in selectivity index (SI) value.
Antiviral Agents/isolation & purification* ; Aspergillus/chemistry* ; Molecular Structure ; Enterovirus B, Human/drug effects* ; Endophytes/chemistry* ; Cytochalasins/isolation & purification* ; Drug Discovery ; Humans

Objective: To utilize machine learning(ML) algorithms to develop accurate and effective prediction models for TAC dose/weight-adjusted trough concentration(C0/D). Methods: Data were collected on 264 TAC blood concentration monitoring data from 72 patients undergoing kidney transplantation. The effects of population statistical data, clinical features, combined medication, and ultrasound feature parameters on TAC C0/D were analyzed. Features with a significance level less than 0.05 in the univariate analysis of TAC C0/D were selected for inclusion in the random forest(RF) algorithm to identify significant features. These features were interpreted using partial dependency plots. Five ML algorithms, including RF, support vector regression(SVR), extreme gradient boosting(XGBoost), decision trees(DT) and artificial neural networks(ANN), were employed to establish the TAC C0/D prediction model. Hyper-parameter tuning was performed on the RF model that performed the best. Results : Ten characteristic variables with importance scores>5 were retained and included in the ML model: transglutaminase, red blood cell count, blood urea nitrogen, weight, serum creatinine, renal segmental arterial resistance index, renal aortic resistance index, hematocrit, renal pelvic Young′s modulus value, and time after transplantation. The partial dependence plots showed that all 10 important variables screened were positively correlated with TAC C0/D. The tuned RF model outperformed the other models with aR2of 0.81, aRMSEof 43.93, and aMAEof 29.97. Conclusion The ML models demonstrate good performance in predicting TAC C0/D and provide innovative interpretations using partial dependence plot. The optimized RF model shows optimal performance and offers a novel tool for individualized medication adjustment for TAC in renal transplant patients.

Objective To assess the prognostic significance of the Controlling Nutritional Status (CONUT) score in patients with non-small cell lung cancer (NSCLC) and its association with clinicopathological characteristics. Methods The relevant studies investigating the association between CONUT score and prognosis of NSCLC patients were systematically searched in the PubMed, Web of Science, EMbase, Cochrane Library, CNKI, Wanfang Database and other databases from their inception to July 2023. Two independent researchers screened the references according to predefined inclusion and exclusion criteria, extracted data and conducted quality assessment. The quality of included references was evaluated using New Castle-Ottawa Scale (NOS). The meta-analysis was performed using Stata 17.0 software, and a combined hazard ratio (HR) or odds ratio (OR) and 95% confidence interval (CI) were calculated to assess the association of CONUT score with prognosis and clinicopathological characteristics in NSCLC patients. Results A total of 17 cohort studies, comprising 5182 NSCLC patients with stage Ⅰ-Ⅳ, were included in this analysis. All studies had a NOS≥6 points. The meta-analysis showed that there was a significant correlation between CONUT score and overall survival (OS) as well as disease-free survival (DFS) among NSCLC patients: the higher the score, the shorter the OS [HR=1.87, 95%CI (1.58, 2.21), P<0.001] and DFS [HR=1.91, 95%CI (1.63, 2.24), P<0.001]. These differences were statistically significant. Furthermore, CONUT score was significantly associated with age, smoking status, tumor stage, and N stage (P<0.05). Conclusion A higher CONUT score is associated with a poorer OS and DFS in patients with NSCLC, and CONUT score can be used as a potential predictor of NSCLC prognosis.

ObjectiveTo investigate the influenza virus infection status of influenza-like illness (ILI) at a sentinel hospital in Baoshan District of Shanghai, to explore the seasonal patterns of influenza, so as to provide a scientific basis for influenza prevention and control in Baoshan District of Shanghai. MethodsSurveillance data and pathogenic testing results of ILI from the monitoring year of 2015 to 2023 were collected from the sentinel hospital to describe the seasonal epidemic characteristics of influenza in this district. ResultsThe proportion of ILI visits to sentinel hospital in Baoshan District of Shanghai showed an upward trend from 2015 to 2023 (Z=2.598, P=0.09). The positive rate of influenza virus in ILI was 20.43% (1 761/8 621), of which 14.17% were positive for influenza A virus, including 8.43% for influenza A/H3N2 and 5.74% for influenza A/H1N1. The positive rate of influenza B virus was 6.25%, of which the positive detection rate of influenza B/Victoria virus was 5.35%, while that of influenza B/Yamagata virus was 0.90%. Influenza B/Yamagata virus was not detected in 2019‒2023. The highest positivity rate was observed in the 5‒<15 years age group (25.57%). The positive rate of ILI was lower in males (19.90%) than that in females (20.90%). There were three patterns of influenza epidemic in the district: with year-round circulation in 2016‒2017 and 2021‒2022; with bimodal peaks in 2015‒2016, 2017‒2018 and 2022‒2023; and with one peak in 2018‒2019 and 2019‒2020. The positive rate of influenza virus exhibited seasonal variations, with influenza A virus predominated in summer and autumn. However, influenza B virus showed an increase in spring and winter. ConclusionThe influenza epidemic in Baoshan District, Shanghai exhibits diverse patterns with heterogeneous epidemiological characteristics across different age groups and seasons. Notably, children and adolescents aged 5‒<15 years constitute the key target population for influenza prevention and control. Enhanced surveillance and targeted control measures against influenza A/H3N2 lineage viruses are particularly warranted during summer and autumn seasons.