The Association Between the Frequency of Annual Health Checks Participation and the Control of Cardiovascular Risk Factors.

Background: General health checks can help in controlling cardiovascular risk factors. However, few studies have investigated whether regular participation in annual health checks could further improve the control of cardiovascular risk factors compared with intermittent participation. Therefore, our study aimed to explore the association between the frequency of annual health check participation and the control of cardiovascular risk factors. Methods: Residents aged ≥ 65 years or having chronic diseases (hypertension or diabetes) from 37 communities of Guangzhou, Guangdong, who participated in the Basic Public Health Service project between January 2015 and December 2019, were enrolled and divided into 3 groups ("Sometimes," "Usually," and "Always") according to their frequencies of annual health check participation. Multivariable linear regression models were performed to assess the association between the frequency of annual health check participation and the control of cardiovascular risk factors. A subgroup analysis stratified by gender was also conducted. Results: In total, 9,102 participants were finally included. Significant differences were identified between groups in systolic blood pressure (SBP), diastolic blood pressure (DBP), weight, fasting glucose, total cholesterol, high-density lipoprotein cholesterol, and serum creatinine. After fully adjusting for confounding factors, residents who always participated in the annual health check tended to have lower SBP (ß = -4.36, 95% CI: -5.46; -3.26, p < 0.001), fasting glucose (ß = -0.27, 95% CI: -0.38; -0.15, p < 0.001), and total cholesterol (ß = -0.19, 95% CI: -0.26; -0.13, p < 0.001), compared with those who attended sometimes. Furthermore, gender did not alter these associations. Conclusion: A higher frequency of annual health check participation was associated with lower SBP, fasting glucose, and total cholesterol.

Nomogram to predict rapid kidney function decline in population at risk of cardiovascular disease.

BACKGROUND: To develop a reliable model to predict rapid kidney function decline (RKFD) among population at risk of cardiovascular disease. METHODS: In this retrospective study, key monitoring residents including the elderly, and patients with hypertension or diabetes of China National Basic Public Health Service who underwent community annual physical examinations from January 2015 to December 2020 were included. Healthy records were extracted from regional chronic disease management platform. RKFD was defined as the reduction of estimated glomerular filtration rate (eGFR) ≥ 40% during follow-up period. The entire cohort were randomly assigned to a development cohort and a validation cohort in a 2:1 ratio. Cox regression analysis was used to identify the independent predictors. A nomogram was established based on the development cohort. The concordance index (C-index) and calibration plots were calculated. Decision curve analysis was applied to evaluate the clinical utility. RESULTS: A total of 8455 subjects were included. During the median follow-up period of 3.72 years, the incidence of RKFD was 11.96% (n = 1011), 11.98% (n = 676) and 11.92% (n = 335) in the entire cohort, development cohort and validation cohort, respectively. Age, eGFR, hemoglobin, systolic blood pressure, and diabetes were identified as predictors for RKFD. Good discriminating performance was observed in both the development (C-index, 0.73) and the validation (C-index, 0.71) cohorts, and the AUCs for predicting 5-years RKFD was 0.763 and 0.740 in the development and the validation cohort, respectively. Decision curve analysis further confirmed the clinical utility of the nomogram. CONCLUSIONS: Our nomogram based on five readily accessible variables (age, eGFR, hemoglobin, systolic blood pressure, and diabetes) is a useful tool to identify high risk patients for RKFD among population at risk of cardiovascular disease in primary care. Whereas, further external validations are needed before clinical generalization.

Nomogram to predict risk of incident chronic kidney disease in high-risk population of cardiovascular disease in China: community-based cohort study.

AIMS: To develop a nomogram for incident chronic kidney disease (CKD) risk evaluation among community residents with high cardiovascular disease (CVD) risk. METHODS: In this retrospective cohort study, 5730 non-CKD residents with high CVD risk participating the National Basic Public Health Service between January 2015 and December 2020 in Guangzhou were included. Endpoint was incident CKD defined as an estimated glomerular filtration rate (eGFR) less than 60 mL/min/1.73 m2 during the follow-up period. The entire cohorts were randomly (2:1) assigned to a development cohort and a validation cohort. Predictors of incident CKD were selected by multivariable Cox regression and stepwise approach. A nomogram based on these predictors was developed and evaluated with concordance index (C-index) and area under curve (AUC). RESULTS: During the median follow-up period of 4.22 years, the incidence of CKD was 19.09% (n=1094) in the entire cohort, 19.03% (727 patients) in the development cohort and 19.21% (367 patients) in the validation cohort. Age, body mass index, eGFR 60-89 mL/min/1.73 m2, diabetes and hypertension were selected as predictors. The nomogram demonstrated a good discriminative power with C-index of 0.778 and 0.785 in the development and validation cohort. The 3-year, 4-year and 5-year AUCs were 0.817, 0.814 and 0.834 in the development cohort, and 0.830, 0.847 and 0.839 in the validation cohort. CONCLUSION: Our nomogram based on five readily available predictors is a reliable tool to identify high-CVD risk patients at risk of incident CKD. This prediction model may help improving the healthcare strategies in primary care.

Interleukin 35 protects cardiomyocytes following ischemia/reperfusion-induced apoptosis via activation of mitochondrial STAT3.

Mitochondrial reactive oxygen species (mtROS)-induced apoptosis has been suggested to contribute to myocardial ischemia/reperfusion injury. Interleukin 35 (IL-35), a novel anti-inflammatory cytokine, has been shown to protect the myocardium and inhibit mtROS production. However, its effect on cardiomyocytes upon exposure to hypoxia/reoxygenation (H/R) damage has not yet been elucidated. The present study aimed to investigate the potential protective role and underlying mechanisms of IL-35 in H/R-induced mouse neonatal cardiomyocyte injury. Mouse neonatal cardiomyocytes were challenged to H/R in the presence of IL-35, and we found that IL-35 dose dependently promotes cell viability, diminishes mtROS, maintains mitochondrial membrane potential, and decreases the number of apoptotic cardiomyocytes. Meanwhile, IL-35 remarkably activates mitochondrial STAT3 (mitoSTAT3) signaling, inhibits cytochrome c release, and reduces apoptosis signaling. Furthermore, co-treatment of the cardiomyocytes with the STAT3 inhibitor AG490 abrogates the IL-35-induced cardioprotective effects. Our study identified the protective role of IL-35 in cardiomyocytes following H/R damage and revealed that IL-35 protects cardiomyocytes against mtROS-induced apoptosis through the mitoSTAT3 signaling pathway during H/R.

Allicin Inhibits Proliferation by Decreasing IL-6 and IFN-ß in HCMV-Infected Glioma Cells.

PURPOSE: Allicin, an extract of garlic, has antitumor effects in multiple tumor types. However, the efficacy of allicin for treating glioblastoma has not yet been examined. This study examined the antitumor effect of allicin on human cytomegalovirus (HCMV)-infected glioblastoma multiforme (GBM) and its role in cytokine signaling. MATERIALS AND METHODS: HCMV-infected glioblastoma was modeled by transfection of U87MG glioblastoma cells with HMCV proteins. MTT assay was used to assess the effect of allicin on the proliferation of glioma cells. Western blot analysis was used to detect the effect of allicin on the expression of intermediate-early gene 2 (IE2) and p53. Reverse transcription-quantitative polymerase chain reaction was used to assess and the levels of interleukin (IL)-6 and interferon (IFN)-ß. Single cell gel electrophoresis was used to analyze changes in radiotherapy-induced DNA damage. RESULTS: Transfection of the IE2 protein led to decreased p53 expression and increased glioblastoma cell proliferation. Allicin inhibited this proliferation in a dose- and time-dependent manner. An inhibitory effect on cytokine release was observed in GBM cells treated with allicin. After treatment with allicin, p53 levels increased significantly, whereas expression of the inflammatory factors such as IL-6 and IFN-ß decreased. U87MG cells treated with allicin and 10 Gy irradiation had increased intracellular DNA damage compared to either treatment alone. CONCLUSION: Allicin inhibited proliferation of glioblastoma cells in vitro. Allicin also inhibited cytokine release, upregulated p53 activity, and increased the sensitivity of glioblastoma to radiotherapy. These results suggest that allicin is effective against HCMV-infected glioblastomas.

Incidence, Treatment, and Survival in Primary Central Nervous System Neuroblastoma.

BACKGROUND: Primary central nervous system neuroblastoma (PCNSN) is a rare disease, and its incidence, treatment modalities, and survival remain poorly understood. METHODS: The SEER (Surveillance Epidemiology and End Results) database was used to identify patients diagnosed with PCNSN from 1973 to 2013. The incidence and survival rates were examined. Clinical features, treatment modalities, and prognosis were also assessed. RESULTS: A total of 280 patients with PCNSN were identified, with annual age-adjusted incidence being 0.37 per 1,000,000 persons in 1973 and decreasing to 0.12 in 2013. Neuroblastoma (NBL) (ganglioneuroblastoma vs. NBL; odds ratio [OR], 25.01; P = 0.008) and tumor with distant metastasis (OR, 0.17; P = 0.002) were more likely to receive conservative treatment over surgery, whereas older age (OR, 1.02; P = 0.011) and tumors located in the brain (other nervous system vs. brain: OR, 0.31; P = 0.001) increased the likelihood of receiving combined surgery and radiotherapy over surgery alone. In addition, younger age, ganglioneuroblastoma, and surgery treatment were significantly associated with improved outcomes (all P < 0.05). Furthermore, a nomogram model was established to effectively estimate survival for patients with PCNSN. CONCLUSIONS: We updated epidemiologic information of PCNSN and showed that age, histologic type, tumor extension, and surgery were independent prognostic factors. Moreover, treatment modalities of these tumors are influenced by patient and tumor characteristics.

Profiles of immune-related genes and immune cell infiltration in the tumor microenvironment of diffuse lower-grade gliomas.

The tumor microenvironment is highly correlated with tumor occurrence, progress, and prognosis. We aimed to investigate the immune-related gene (IRG) expression and immune infiltration pattern in the tumor microenvironment of lower-grade glioma (LGG). We employed the Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data (ESTIMATE) algorithm to calculate immune and stromal scores and identify prognostic IRG based on The Cancer Genome Atlas data set. The potential molecular functions of these genes were explored with the help of functional enrichment analysis and the protein-protein interaction network. Remarkably, three cohorts that were downloaded from the Chinese Glioma Genome Atlas database were analyzed to further verify the prognostic values of these genes. Moreover, the Tumor IMmune Estimation Resource (TIMER) algorithm was used to estimate the abundance of infiltrating immune cells and explore the immune infiltration pattern in LGG. And unsupervised cluster analysis determined three clusters of the immune infiltration pattern and indicated that CD8+ T cells and macrophages were significantly associated with LGG outcomes. Altogether, our study identified a list of prognostic IRGs and provided a perspective to explore the immune infiltration pattern in LGG.

Personalizing age-specific survival prediction and risk stratification in intracranial grade II/III ependymoma.

BACKGROUND: Models for estimation of survival rates of patients with intracranial grade II/III ependymoma (EPN) are scarce. Considering the heterogeneity in prognostic factors between pediatric and adult patients, we aimed to develop age-specific nomograms for predicting 3-, 5-, and 8-year survival for these patients. METHODS: A total of 1390 cases (667 children; 723 adults) of intracranial grade II/III EPNs diagnosed between 1988 and 2015 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database for our study. Univariable and multivariable Cox analyses were employed to identify independent prognostic predictors. Age-specific nomograms were developed based on the results of multivariate Cox analyses. We also evaluated the performance of these predictive models by concordance index, calibration curves, time-dependent receiver operating characteristic curves, and decision curve analyses. RESULTS: Considerable heterogeneity in prognostic factors was highlighted between pediatric and adult patients. Age, sex, tumor grade, surgery treatment and radiotherapy were identified as significant predictors of overall survival for children, and age, tumor grade, tumor size, surgery treatment, and marital status for adult. Based on these factors, age-specific nomogram models were established and internally validated. These models exhibited favorable discrimination and calibration characteristics. Nomogram-based risk classification systems were also constructed to facilitate risk stratification in EPNs for optimization of clinical management. CONCLUSIONS: We developed the first nomograms and corresponding risk classification systems for predicting survival in patients with intracranial grade II/III EPN. These easily used tools can assist oncologists in making accurate survival evaluation.

Development and Validation of an IDH1-Associated Immune Prognostic Signature for Diffuse Lower-Grade Glioma.

A mutation in the isocitrate dehydrogenase 1 (IDH1) gene is the most common mutation in diffuse lower-grade gliomas (LGGs), and it is significantly related to the prognosis of LGGs. We aimed to explore the influence of the IDH1 mutation on the immune microenvironment and develop an IDH1-associated immune prognostic signature (IPS) for predicting prognosis in LGGs. IDH1 mutation status and RNA expression were investigated in two different public cohorts. To develop an IPS, LASSO Cox analysis was conducted for immune-related genes that were differentially expressed between IDH1wt and IDH1mut LGG patients. Then, we systematically analyzed the influence of the IPS on the immune microenvironment. A total of 41 immune prognostic genes were identified based on the IDH1 mutation status. A four-gene IPS was established and LGG patients were effectively stratified into low- and high-risk groups in both the training and validation sets. Stratification analysis and multivariate Cox analysis revealed that the IPS was an independent prognostic factor. We also found that high-risk LGG patients had higher levels of infiltrating B cells, CD4+ T cells, CD8+ T cells, neutrophils, macrophages and dendritic cells, and expressed higher levels of CTLA-4, PD-1 and TIM-3. Moreover, a novel nomogram model was established to estimate the overall survival in LGG patients. The current study provides novel insights into the LGG immune microenvironment and potential immunotherapies. The proposed IPS is a clinically promising biomarker that can be used to classify LGG patients into subgroups with distinct outcomes and immunophenotypes, with the potential to facilitate individualized management and improve prognosis.

Whole exome sequencing of multiple meningiomas with varying histopathological presentation in one patient revealed distinctive somatic mutation burden and independent clonal origins.

Background: Although meningiomas are common intracranial tumors, multiple meningiomas (MMs) are rare entities in patients without neurofibromatosis type 2. Previous studies suggest most sporadic MMs are of monoclone in origin. Objective: To elucidate the clonal relationship between two sporadic meningiomas from the same patient by using the next-generation sequencing (NGS) platform. Methods: Two MMs, located frontally and parietally on the right side, were surgically removed from a 52-year-old male. Pathological examinations and whole exome sequencing were performed on tumor samples, followed by Sanger sequencing validation. Results: MMs were diagnosed as secretory and fibrous subtypes, respectively, on histology (WHO grade I) and tumor DNA exhibited distinctive somatic mutation patterns. Specifically, the secretory subtype carried more single nucleotide variant while the fibrous subtype had much higher copy number variation. Besides, the two tumors demonstrated different mutation profiles in predisposing genes and known driver mutations. For example, the secretory subtype had missense mutations in TRAF7 and KLF4, while the fibrous subtype had frameshift deletion of NF2 gene in addition to copy number loss of NF2 and SMARCB1, genetic events that have already been associated with the development of meningiomas. Significantly mutated gene analysis revealed novel mutations of LOC729159 in the secretory subtype and RPGRIP1L and DPP6 in the fibrous subtype. Sanger sequencing validated important point mutations in TRAF7 (c.1678G>A, p.G560S), KLF4 (c.1225A>C, p.K409Q) and CDH11 (c.169T>G, p.W57G). Conclusion: Our data suggest the two meningiomas might develop independently in this patient and molecular subtyping by NGS is a valuable supplement to conventional pathology. Further study is needed to ascertain whether these novel genetic events are tumorigenic or simply passenger mutations, as well as their clinical implications.

The role of postoperative radiotherapy in pediatric patients with grade II intracranial ependymomas: a population-based, propensity score-matched study.

PURPOSE: The main objectives of this study were to clarify the efficacy of postoperative radiotherapy (PORT) for pediatric intracranial grade II ependymomas (EPNs) and to explore whether various characteristics are associated with different outcomes in patients with and without PORT. PATIENTS AND METHODS: Data from patients younger than 18 years diagnosed with grade II intracranial EPNs and treated by surgery, with or without PORT, were obtained from the Surveillance, Epidemiology, and End Results (SEER) database (1973-2013 data set). Propensity score-matched analysis was conducted to balance clinical variables. Patient characteristics were stratified and analyzed. RESULTS: In total, data from 632 patients with grade II EPNs treated by cancer-directed surgery with or without PORT were obtained from the SEER database. Multivariable Cox analysis in the matched cohort suggested that undergoing PORT (overall survival [OS], P=0.020; cancer-specific survival [CSS], P=0.031), undergoing gross total resection (GTR; subtotal resection [STR] vs GTR; OS, P<0.001; CSS, P<0.001), and older age (OS, P<0.001; CSS, P<0.001) were the independent predictors of superior prognosis. Stratified analysis demonstrated that patient characteristics, including infratentorial location, younger age, and STR, were associated with benefit from PORT, while the survival advantage was not detected in patients who underwent GTR. CONCLUSION: Propensity score-matched analysis using SEER data indicates survival advantages of PORT. Given the strong prognostic associations with extent of resection and patient age, we recommend PORT for younger patients treated by STR.

Prognosis of Pediatric Patients with Pineoblastoma: A SEER Analysis 1990-2013.

BACKGROUND: Pineoblastomas are rare, malignant embryonal tumors that have a relatively higher incidence and a poorer prognosis in children. Owing to the rarity of these tumors, there is a paucity of data on associated prognostic factors. We used the Surveillance, Epidemiology, and End Results (SEER) database to evaluate prognostic factors for pineoblastomas with the aim of improving tumor management. METHODS: Data from all pediatric patients (age ≤17 years) diagnosed with pineoblastoma between 1990 and 2013 were extracted from the SEER-18 registry database. Survival was described with Kaplan-Meier curves. The Cox proportional hazards model was used for both univariate and multivariate analyses. A nomogram was established for predicting 1-, 3-, and 5-year overall survival (OS) in patients with pineoblastoma. RESULTS: Age >5 years (P = 0.004) and radiotherapy treatment (P = 0.000) were associated with better rates of survival. Gross total resection (P = 0.054) also was correlated with better prognosis, whereas tumor size >30 mm in maximum diameter (P = 0.025) was associated with poorer outcome. A nomogram was established based on the results of the Cox model and was validated by a concordance index (C-index) of 0.767 (95% confidence interval, 0.698-0.836) and calibration plots. CONCLUSIONS: Our results show that the impact of tumor extension is not defined. OS is better in older children treated by radiotherapy, and gross total resection also appears to result in increased survival. A nomogram was built to predict 1-, 3-, and 5-year OS for these patients.