Gender differences in the association between healthy eating index-2015 and hypertension in the US population: evidence from NHANES 1999-2018.

BACKGROUND: Diet has long been recognized as an important modifiable risk factor for hypertension. Herein, our research goal was to decipher the association of healthy eating index-2015 (HEI-2015) with hypertension, and to explore potential gender differences. METHODS: We collected the cross-sectional data of 42,391 participants of the National Health and Nutrition Examination Survey (NHANES) 1999-2018. The association of HEI-2015 with hypertension was estimated using weighted multivariate logistic regression, with restricted cubic spline (RCS) regression being adopted to examine the nonlinearity of this association in both genders, and the stability of the results were examined by sensitivity analysis. We also performed subgroup analysis to detect potential difference in the link between HEI-2015 and hypertension stratified by several confounding factors. RESULTS: After eliminating potential confounding bias, the adjusted odds ratios (ORs) with 95% confidence intervals (CIs) for hypertension across higher HEI-2015 quartiles were 0.93 (0.85-1.03), 0.84 (0.77-0.93), and 0.78 (0.72-0.86) compared to the lowest quartile, respectively. HEI-2015 was nonlinearly and inversely associated with hypertension in all participants. The gender-specific RCS curves presented a U-shaped correlation in males, while showed a linear and inverse correlation in females. Besides, subgroup analyses showed a lower risk of hypertension in participants who were females, younger than 40 years, Whites, obese, and diabetic patients. CONCLUSIONS: We determined a nonlinear and inverse association between HEI-2015 and hypertension in the US general population, and revealed a remarkable gender difference when adhering to a HEI-2015 diet for preventing hypertension.

Association between dietary inflammatory index and Stroke in the US population: evidence from NHANES 1999-2018.

BACKGROUND: There is an increasing awareness that diet-related inflammation may have an impact on the stroke. Herein, our goal was to decipher the association of dietary inflammatory index (DII) with stroke in the US general population. METHODS: We collected the cross-sectional data of 44,019 participants of the National Health and Nutrition Examination Survey (NHANES) 1999-2018. The association of DII with stroke was estimated using weighted multivariate logistic regression, with its nonlinearity being examined by restricted cubic spline (RCS) regression. The least absolute shrinkage and selection operator (LASSO) regression was applied for identifying key stroke-related dietary factors, which was then included in the establishment of a risk prediction nomogram model, with the receiver operating characteristic (ROC) curve being built to evaluate its discriminatory power for stroke. RESULTS: After confounder adjustment, the adjusted odds ratios (ORs) with 95% confidence intervals (CIs) for stroke across higher DII quartiles were 1.19 (0.94-1.54), 1.46 (1.16-1.84), and 1.87 (1.53-2.29) compared to the lowest quartile, respectively. The RCS curve showed a nonlinear and positive association between DII and stroke. The nomogram model based on key dietary factors identified by LASSO regression displayed a considerable predicative value for stroke, with an area under the curve (AUC) of 79.8% (78.2-80.1%). CONCLUSIONS: Our study determined a nonlinear and positive association between DII and stroke in the US general population. Given the intrinsic limitations of cross-sectional study design, it is necessary to conduct more research to ensure the causality of such association.

Association of different obesity patterns with hypertension in US male adults: a cross-sectional study.

Obesity is an important risk factor for hypertension. We aimed to investigate the association between different obesity patterns and hypertension risk in a large male population in the US. Male participants from the National Health and Nutrition Examination Survey (NHANES) (2007-2018) were enrolled in this cross-sectional study. Social demographic information, lifestyle factors, anthropometric measurements and biochemical measurements were collected. Three obesity patterns were classified according to the body mass index (BMI) and waist circumference (WC), including overweight and general obesity, abdominal obesity, and compound obesity. We adopted multivariate logistic regression to investigate the associations between hypertension and different obesity patterns after adjusting for cofounding factors. Subgroup analysis, stratified by age, smoking, drinking and estimated glomerular filtration rate (eGFR), was also conducted to explore the associations between obesity patterns and hypertension risk among different populations. Moreover, the association between WC and hypertension among male individuals was also explored using restricted cubic spline (RCS) analysis. Receiver operating characteristic (ROC) was used to evaluate the discriminatory power of WC for screening hypertension risk. 13,859 male participants from NHANES survey (2007-2018) were enrolled. Comparing with the normal-weight group, the odds ratios (ORs) [95% confidence interval (CI)] for hypertension in individuals with overweight and general obesity, abdominal obesity and compound obesity were 1.41 [1.17-1.70], 1.97 [1.53-2.54] and 3.28 [2.70-3.99], respectively. Subgroup analysis showed that the effect of different obesity patterns on hypertension risk was highly stable among individuals with different clinical conditions. In addition, WC had a positive correlation with the risk of hypertension (OR: 1.43; 95% CI 1.37-1.52; P < 0.001) in fully adjusted multivariate logistic regression model. RCS analysis showed that the association between WC and hypertension risk was in a nonlinear pattern, and WC had a good discriminatory power for hypertension in ROC analysis. Different patterns of obesity have a great impact on the risk of hypertension among male individuals. Increment of WC significantly increased the hypertension risk. More attention should be paid to the prevention of obesity, especially abdominal obesity and compound obesity in male individuals.

Systemic Diclofenac Sodium Reduces Postoperative rhBMP-2 Induced Neuroinflammation: A Rodent Model Study.

STUDY DESIGN: This is a basic science, animal research study. OBJECTIVE: This study aims to explore, in rodent models, the effectiveness of systemic nonsteroidal anti-inflammatory drugs in reducing recombinant human bone morphogenetic protein-2 (rhBMP-2) induced neuroinflammation. SUMMARY OF BACKGROUND DATA: rhBMP-2 is increasingly used to augment fusion in lumbar interbody fusion surgeries, although it can cause complications including postoperative radiculitis. MATERIALS AND METHODS: Eighteen 8-week-old Sprague-Dawley rats underwent Hargreaves testing to measure the baseline thermal withdrawal threshold before undergoing surgical intervention. The L5 nerve root was exposed and wrapped with an Absorbable Collagen Sponge containing rhBMP-2. Rats were randomized into 3 groups: (1) Low dose (LD), (2) high dose (HD) diclofenac sodium, and (3) saline, receiving daily injection treatment. Hargreaves testing was performed postoperatively on days 5 and 7. Seroma volumes were measured by aspiration and the nerve root was then harvested for hematoxylin and eosin, immunohistochemistry, Luxol Fast Blue staining, and real-time quantitative polymerase chain reaction. The Student t test was used to evaluate the statistical significance among groups. RESULTS: The intervention groups showed reduced seroma volume, and a general reduction of inflammatory markers (MMP12, MAPK6, GFAP, CD68, and IL18) compared with controls, with the reduction in MMP12 being statistically significant ( P = 0.02). Hematoxylin and eosin and immunohistochemistry of the nerve roots showed the highest macrophage density in the saline controls and the lowest in the HD group. Luxol Fast Blue staining showed the greatest extent of demyelination in the LD and saline groups. Lastly, Hargreaves testing, a functional measure of neuroinflammation, of the HD group demonstrated a minimal change in thermal withdrawal latency. In contrast, the thermal withdrawal latency of the LD and saline groups showed a statistically significant decrease of 35.2% and 28.0%, respectively ( P < 0.05). CONCLUSION: This is the first proof-of-concept study indicating that diclofenac sodium is effective in alleviating rhBMP-2-induced neuroinflammation. This can potentially impact the clinical management of rhBMP-2-induced radiculitis. It also presents a viable rodent model for evaluating the effectiveness of analgesics in reducing rhBMP-2-induced inflammation.

Integrated genomic analysis defines molecular subgroups in dilated cardiomyopathy and identifies novel biomarkers based on machine learning methods.

Aim: As the most common cardiomyopathy, dilated cardiomyopathy (DCM) often leads to progressive heart failure and sudden cardiac death. This study was designed to investigate the molecular subgroups of DCM. Methods: Three datasets of DCM were downloaded from GEO database (GSE17800, GSE79962 and GSE3585). After log2-transformation and background correction with "limma" package in R software, the three datasets were merged into a metadata cohort. The consensus clustering was conducted by the "Consensus Cluster Plus" package to uncover the molecular subgroups of DCM. Moreover, clinical characteristics of different molecular subgroups were compared in detail. We also adopted Weighted gene co-expression network analysis (WGCNA) analysis based on subgroup-specific signatures of gene expression profiles to further explore the specific gene modules of each molecular subgroup and its biological function. Two machine learning methods of LASSO regression algorithm and SVM-RFE algorithm was used to screen out the genetic biomarkers, of which the discriminative ability of molecular subgroups was evaluated by receiver operating characteristic (ROC) curve. Results: Based on the gene expression profiles, heart tissue samples from patients with DCM were clustered into three molecular subgroups. No statistical difference was found in age, body mass index (BMI) and left ventricular internal diameter at end-diastole (LVIDD) among three molecular subgroups. However, the results of left ventricular ejection fraction (LVEF) statistics showed that patients from subgroup 2 had a worse condition than the other group. We found that some of the gene modules (pink, black and grey) in WGCNA analysis were significantly related to cardiac function, and each molecular subgroup had its specific gene modules functions in modulating occurrence and progression of DCM. LASSO regression algorithm and SVM-RFE algorithm was used to further screen out genetic biomarkers of molecular subgroup 2, including TCEAL4, ISG15, RWDD1, ALG5, MRPL20, JTB and LITAF. The results of ROC curves showed that all of the genetic biomarkers had favorable discriminative effectiveness. Conclusion: Patients from different molecular subgroups have their unique gene expression patterns and different clinical characteristics. More personalized treatment under the guidance of gene expression patterns should be realized.

Description and Utilization of Telewound Monitoring Services in Primary Care Patients with Acute Wounds in Singapore: A Retrospective Study.

OBJECTIVE: To describe an inaugural telewound monitoring service (TMS) designed for the remote monitoring of acute wounds to empower primary care patients, and identify factors associated with the utilization of the TMS. METHODS: Retrospective data were collected from 204 patients who participated in the TMS between June 19, 2016 and August 31, 2017 and analyzed using both descriptive and multiple regression analysis. RESULTS: The mean patient age was 27.9 years (SD, 12.4); wound area was 7.8 cm2 (SD, 21.2); and duration of healing was 11.7 days (SD, 6.9). A multiple regression model based on patients' demographics and wound factors predicted which patients were likely to have more telewound sessions than face-to-face sessions. The model was statistically significant (F = 2.093 (11, 124), P = .025) with 15.7% of variance explained by the variables. An increase in age (P = .043) and increased days to healing (P = .043) were associated with a reduction in the number of telewound sessions. CONCLUSIONS: The TMS is a valuable alternative to face-to-face wound care that enables patients with acute wounds to assume the roles of both patient and carer simultaneously. Age and healing duration are predictors for utilization of this service. Prompt attention to these predictors may improve service allocation and utilization.

Forecasting the rate of hand injuries in Singapore.

PURPOSE: This study aims to analyse the correlation between the incidence rate of hand injuries and various major economic indicators in Singapore. We hypothesise that the number of hand injuries is correlated to activity in the construction and manufacturing industries in Singapore. METHODS: Twenty thousand seven hundred sixty-four patients who underwent hand surgeries in a tertiary institution between 2012 to 2018 were reviewed. Two independent, blinded observers extracted the frequency of hand surgeries performed from Electronic Medical Records. Economic indicators pertinent to Singapore's economic activity were collected and smoothed by simple moving average of the prior 3 months. Results were analysed using IBM SPSS v25.0. RESULTS: Significant independent univariate variables were Purchasing-Manager-Index and Industrial-Production-Index. Multiple linear regression of quarterly reported figures showed that Total-Livestock-Slaughtered, Total-Seafood-Handled, Purchasing-Manger-Index, Industrial-Production-Index, Gas-Tariffs, Construction-Index, Consumer-Price-Index, Total-Air-Cargo-Handled, Total-Container-Throughput, Total-Road-Traffic-Accident-Casualties, Food-&-Beverage-Services-Index were significantly correlated (p < 0.05) with hand injuries, with R2 = 62.3%. CONCLUSION: Quarterly economic indicators from major economic industries can be used to predict the incidence of hand injuries with a 62.3% correlation. These findings may be useful for anticipating healthcare resource allocation to treat hand injuries. TYPE OF STUDY AND LEVEL OF EVIDENCE: Economic and decision, Level II.

Apigenin inhibits isoproterenol-induced myocardial fibrosis and Smad pathway in mice by regulating oxidative stress and miR-122-5p/155-5p expressions.

Apigenin, a flavonoid isolated from Apium graveolens, is an effective natural active ingredient that inhibits transforming growth factor-ß1 (TGF-ß1)-induced cardiac fibroblasts (CFs) differentiation and collagen synthesis. However, its effects on isoproterenol-induced myocardial fibrosis in mice remain unknown. This study aimed to examine the effect of apigenin in the prevention of myocardial fibrosis. A mouse model of myocardial fibrosis induced by isoproterenol was established, and the mice were given apigenin 75-300 mg/kg orally for 40 days. The results showed that the heart weight coefficient, myocardial hydroxyproline, collagen accumulation, and malondialdehyde levels in the apigenin-treated groups were significantly reduced. In contrast, the activity of myocardial superoxide dismutase and glutathione peroxidase were significantly enhanced. The results of real-time quantitative polymerase chain reaction and western blot assays showed that apigenin could significantly upregulate the expressions of myocardial microRNA-122-5p (miR-122-5p), c-Ski, and Smad7 and downregulate the expressions of myocardial miR-155-5p, α-smooth muscle actin, collagen I/III, NF-κB, TGF-ß1, hypoxia-inducible factor-1α (HIF-1α), Smad2/3, and p-Smad2/3. In vitro, the differentiation and extracellular matrix production, as well as TGF-ß1/Smads axis, were further reduced after treatment of miR-122-5p mimic or miR-155-5p inhibitor-transfected and TGF-ß1-stimulated CFs with apigenin. These results suggested that apigenin increased the expression of miR-122-5p and decreased the expression of miR-155-5p, which subsequently downregulated and upregulated the target genes HIF-1α and c-Ski, respectively. Furthermore, apigenin administration downregulated TGF-ß1-induced Smad2/3 and upregulated Smad7. In addition, it reduced the NF-κB/TGF-ß1 signaling pathway axis by increasing antioxidant ability to exert the antifibrotic effects.

The dietary inflammatory index and its association with the prevalence of hypertension: A cross-sectional study.

Aims: We aim to investigate the association of the Dietary Inflammatory Index (DII) with the prevalence of hypertension in a large multiracial population in the United States. Methods: Participants from the National Health and Nutrition Examination Survey (NHANES) (1999-2018) were included in this cross-sectional study. Dietary information was obtained and used to calculate DII. Blood pressures of participants were measured by experienced examiners. The NHANES used the method of "stratified multistage probability sampling," and this study is a weight analysis following the NHANES analytic guidance. Weight logistic regression analysis was adopted to investigate the association of hypertension with DII. Least Absolute Shrinkage and Selection Operator (LASSO) regression was carried out to screen the most important dietary factors associated with the risk of hypertension. Moreover, a nomogram model based on key dietary factors was established; the receiver operating characteristic (ROC) curve was used to evaluate the diagnostic power of the nomogram model for screening hypertension risk. Results: A total of 45,023 participants were included in this study, representing 191 million residents in the United States. Participants with hypertension had an elevated DII compared with those without hypertension. Weight logistic regression showed that an increment of DII was strongly associated with hypertension after adjusting for confounding factors. The nomogram model, based on key dietary factors screened by LASSO regression, showed a favorable discriminatory power with an area under the curve (AUC) of 78.5% (95% CI: 78.5%-79.3%). Results of the sensitivity analysis excluding participants who received any drug treatment were consistent with those in the main analysis. Conclusion: An increment of DII is associated with the risk of hypertension. For better prevention and treatment of hypertension, more attention should be paid to controlling dietary inflammation.

Extracellular vesicles, the cornerstone of next-generation cancer diagnosis?

Cancer has risen up to be a major cause of mortality worldwide over the past decades. Despite advancements in cancer screening and diagnostics, a significant number of cancers are still diagnosed at a late stage with poor prognosis. Hence, the discovery of reliable and accurate methods to diagnose cancer early would be of great help in reducing cancer mortality. Extracellular vesicles (EVs) are phospholipid vesicles found in many biofluids and are released by almost all types of cells. In recent years, using EVs as cancer biomarkers has garnered attention as a novel technique of cancer diagnosis. Compared with traditional tissue biopsy, there are many advantages that this novel diagnostic tool presents - it is less invasive, detects early-stage asymptomatic cancers, and allows for monitoring of tumour progression. As such, EV biomarkers have great potential in improving the diagnostic accuracy of cancers and guiding subsequent therapeutic decisions. Efficient isolation and accurate characterization of EVs are essential for reliable outcomes of clinical application. However, these are complicated by the size and biomolecular diversity of EVs. In this review, we present an analysis and evaluation of the current techniques of EV isolation and characterization, as well as discuss the potential EV biomarkers for specific types of cancer. Taken together, EV biomarkers have a lot of potential as a novel method in cancer diagnostics and diagnosis. However, more work is still needed to streamline the purification, characterization and biomarker identification process to ensure optimal outcomes for patients.

A novel plasma lncRNA ENST00000416361 is upregulated in coronary artery disease and is related to inflammation and lipid metabolism.

Coronary artery disease (CAD) is a serious threat to human health and a major cause of mortality worldwide. Long noncoding RNAs (lncRNAs) affect the occurrence and development of CAD via the regulation of cell proliferation and apoptosis, inflammatory responses and lipid metabolism. Screening methods and therapeutic strategies for CAD have been extensively studied. The present study analyzed clinical indexes of 187 patients with CAD and 150 healthy subjects. The data showed significant differences in diabetes mellitus, hypertension, high­density lipoprotein level and smoking history between the CAD group and the control group. A series of differentially expressed lncRNAs were detected in the plasma samples of three patients with CAD by high­throughput sequencing. Reverse transcription­quantitative (RT­q)PCR data revealed that the expression level of the novel lncRNA ENST00000416361 was ~2.3­fold higher in the plasma of 50 patients with CAD compared with the 50 control subjects. Receiver operating characteristic (ROC) curves were generated, and the area under the ROC curve was 0.7902. Knockdown of ENST00000416361 in human umbilical vein endothelial cells markedly downregulated interleukin­6 and tumor necrosis factor­α levels. In addition, sterol regulatory element binding transcription factor (SREBP)1 and SREBP2 were upregulated in patients with CAD, and they were positively correlated with the expression of ENST00000416361. RT­qPCR further demonstrated that knockdown of ENST00000416361 led to the downregulation of SREBP1 and SREBP2. Overall, the novel lncRNA ENST00000416361 may be associated with CAD­induced inflammation and lipid metabolism, and it may serve as a potential biomarker for CAD.

Rs10757274 gene polymorphisms in coronary artery disease: A systematic review and a meta-analysis.

BACKGROUND: It has been reported the rs10757274 SNP (present on locus 9p21 in the gene for CDKN2BAS1) might be associated with susceptibility to coronary artery disease (CAD). Owing to mixed and inconclusive results, we conducted a meta-analysis to investigate the association between rs10757274 polymorphism and the risk of CAD. OBJECTIVES: The present study aimed to investigate the relationship between rs10757274 polymorphism and the risk of CAD. METHODS: All studies of the rs10757274 SNP with CAD that were published between 2007 and 2018 were retrieved from the PubMed database. Meta-analysis was performed with Stata 14.0 software. The effect size of the rs10757274 SNP with CAD risk was assessed based on the odds ratios (ORs) with calculation of 95% confidence interval (CI). RESULTS: Eleven studies including 52,209 subjects (cases: 7990, controls: 44,219) were included in the final data combination. Pooled overall analyses showed that rs10757274 (allele model: P < .001; dominant model: P < .001; recessive model: P < .001; Heterozygote codominant: P = .002; Homozygote codominant: P < .001) polymorphisms were significantly associated with the likelihood of CAD. Significant heterogeneity between individual studies appears in all 5 models. Further subgroup analyses revealed that rs10757274 polymorphisms were all significantly correlated with the likelihood of CAD and no heterogeneity were observed in West Asians. CONCLUSIONS: Our findings indicated that rs10757274 polymorphisms may serve as genetic biomarkers of CAD, especially in West Asians.

Activation of CD137 Signaling Promotes Angiogenesis in Atherosclerosis via Modulating Endothelial Smad1/5-NFATc1 Pathway.

BACKGROUND: Excessive angiogenesis is a key feature of vulnerable atherosclerotic plaques, and is considered an independent predictor of cardiovascular risk. CD137 signaling has previously been shown to be involved in atherosclerosis. However, the possible role of CD137 signaling in regulating angiogenesis has not been reported. METHODS AND RESULTS: Apolipoprotein E-deficient (ApoE-/-) mice were used as the in vivo model of atherosclerosis. Masson and immunohistochemical analysis of atherosclerotic plaques and Matrigel plug assay were used to evaluate the angiogenesis. Human umbilical vein endothelial cells and mouse brain microvascular endothelial cells were used as in vitro and ex vivo models to study how CD137 signaling affects angiogenesis. Matrigel tube formation assay, mouse aortic ring angiogenesis assay, and migration and proliferation assay were employed to assess angiogenesis. Western blot was used to detect protein expression. We found increased neovessel formation in atherosclerotic plaques of ApoE-/- mice treated with agonist anti-CD137 antibody. Activation of CD137 signaling induced angiogenesis, endothelial proliferation, and endothelial cell migration. CD137 signaling activates the pro-angiogenic Smad1/5 pathway, induces the phosphorylation of Smad1/5 and nuclear translocation of p-Smad1/5, which in turn promotes the expression and translocation of NFATc1. Blocking CD137 signaling with inhibitory anti-CD137 antibody could inhibit this activation and attenuated agonist anti-CD137 antibody-induced angiogenesis. CONCLUSIONS: These findings suggest that CD137 signaling is a new regulator of angiogenesis by modulating the Smad1/5-NFATc1 pathway.

Cyclophilin A mediates the ox-LDL-induced activation and apoptosis of macrophages via autophagy.

BACKGROUND: Oxidized low-density lipoprotein (ox-LDL) is the most common inflammatory factor that mediates the activation and apoptosis of macrophages. Cyclophilin A (CyPA) is expressed following oxidative stress, hypoxia, and infection. However, the role of CyPA in the activation and apoptosis of macrophages is unclear. The aims of the study were to determine whether CyPA mediates the ox-LDL-induced activation and apoptosis in RAW264.7 cells and to analyze potential mechanisms. METHODS AND RESULTS: Through Western blot and ELISA test, the expression of CyPA induced by ox-LDL is time-dependent in RAW264.7 cells. Gene silencing of CyPA reduced the generation of lipid droplets in the cytoplasm and downregulated the expression of the surface markers of macrophage activation, namely, CD80, CD86, and major histocompatibility complex class 2 antigen. Cell apoptosis is significantly decreased and the level of anti-apoptosis protein bcl-2 is increased in CyPA silent cells compared with the control group. Finally, autophagy-related protein LC3-II/LC3-I ratio level significantly decreased in CyPA silent cells with less autophagosome formation while the blocked autophagy flux was recovered. The differences in the activation and apoptosis between CyPA silent cells and the control cells were inhibited by pre-treatment with class III PI 3-kinase inhibitor 3-MA. CONCLUSIONS: These results indicate that CyPA mediates the ox-LDL-induced activation and apoptosis in RAW264.7 cells by regulating autophagy.