The Inhibition of Inflammatory Signaling Pathway by Secretory Leukocyte Protease Inhibitor can Improve Spinal Cord Injury.

Spinal cord injury leads to loss of sensory motor functions below the damaged area, and can significantly affects physical and mental health. An effective spinal cord injury treatment is currently unavailable, in part, because of the intricacy of the brain, as well as the complex pathophysiological mechanism of the injury. Inflammation is an important biological process in multitudinous diseases, with no exception for spinal cord injury. Nuclear factor kappa beta (NF-κB) signaling pathway is a key inflammatory element, as it is involved in cell survival, apoptosis, proliferation, differentiation, and immune response. Activation of the NF-κB signaling pathway leads to the release of a large number of inflammatory factors that can affect tissue repair. Hence, the inhibition of inflammatory responses could improve the repair of injured spinal cord tissues. Secretory leukocyte protease inhibitor (SLPI) has anti-inflammatory and anti-bacterial properties, and promotes wound healing. SLPI can bind to the promoter region of tumor necrosis factor-αand interleukin-8 (IL-8) to inhibit the NF-κB signaling pathway. Additionally, SLPI can reduce secondary damages after spinal cord injury, and prevent further complications. In this report, we analyze the pathophysiological mechanism of spinal cord injury, the role of NF-κB signaling pathway following spinal cord injury, and how SLPI regulates the NF-κB signaling pathway to curtail inflammatory reaction.

Evaluate the Relationship Between Obstructive Sleep Apnea and Metabolic Syndrome in Real-World Data.

Objective: Obstructive sleep apnea (OSA) is a disorder characterized by disruption in breathing and hypoventilation. In parallel, metabolic syndrome (MetS) mainly co-occur with OSA, however, their association has not been fully elucidated. Therefore, this study aimed to reveal the relationship between OSA and MetS using data from the National Health And Nutrition Examination Survey (NHANES) database and pooled data from Genome-Wide Association Studies (GWAS). Material and Methods: Data from the National Health and Nutrition Examination Survey and pooled data from genome-wide association analysis (GWAS) were used univariate and multivariate logistic regression analyses were carried out to evaluate the correlation between OSA and MetS, and multivariate logistic regression models were utilized for adjusting for potential confounders. Two-sample Mendelian randomization (MR) was used to assess the causal relationship between OSA and MetS. The variance-weighted inverse method was employed as the main method of analysis. Results: A positive relationship of OSA with Mets was evidenced by multivariate logistic regression analysis, and OSA was associated with higher incidence rates of all-cause and cardiovascular mortality. OSA is strongly associated with abdominal obesity, hypertension, hyperglycemia, high triglycerides, and low HDL. Furthermore, except for hypertriglyceridemia, MR analysis indicated that genetically driven OSA was causally associated with a higher risk of MetS. Conclusion: The positive relationship of OSA with Mets was revealed, and higher incidence rates of all-cause mortality and cardiovascular mortality were noted to be correlated with OSA. MR analysis further confirmed the causal relationship of OSA with MetS and cardiovascular disease.

The protective effect of serum carotenoids on cardiovascular disease: a cross-sectional study from the general US adult population.

Background: Cardiovascular disease (CVD) has become a key global health issue. Serum carotenoids are associated with CVD, while their effects on different diseases remain unclear. Herein, the relationship between the concentration of serum carotenoid and the CVD risk was investigated using nationwide adult samples obtained from the USA. Materials and methods: Data of National Health and Nutrition Examination Survey (NHANES) in 2001-2006 were employed. The association of serum carotenoids (total, lycopene, ß-carotene, α-carotene, lutein/zeaxanthin, and ß-cryptoxanthin) with CVD was explored by using multivariate logistic, linear and weighted quantile sum (WQS) regression analyses. Eventually, data from 12,424 volunteers were analyzed for this study. Results: Multivariate model data showed that lutein/zeaxanthin, α-carotene, lycopene, and ß-cryptoxanthin were negatively associated with the prevalence of CVD (p < 0.05). In comparison with the first quartile, the fourth quartile was associated with α-carotene ([OR] = 0.61 [0.47-0.79]), ß-cryptoxanthin (OR = 0.67 [0.50-0.89]), lutein (OR = 0.69 [0.54-0.86]), and lycopene (OR = 0.53 [0.41-0.67]). WQS analysis revealed that the combination of serum carotenoids had negative correlation with the prevalence of total CVD (OR = 0.88, 95% CI: 0.85-0.92, p < 0.001). Additionally, dose-response analysis demonstrated a negative linear association of hypertension with all the carotenoids involved (p > 0.05 for non-linearity). Conclusion: The concentration of serum carotenoids had negative correlation with the prevalence of CVD, with a more significant negative effect against heart attack and stroke.

Oncogenic roles and related mechanisms of the long non-coding RNA MINCR in human cancers.

Long non-coding RNAs (lncRNAs) play vital roles in regulating epigenetic mechanisms and gene expression levels, and their dysregulation is closely associated with a variety of diseases such as cancer. Several studies have demonstrated that lncRNAs are dysregulated during tumor progression. Recently, the MYC-induced long non-coding RNA MINCR, a newly identified lncRNA, has been demonstrated to act as an oncogene in different cancers, including gallbladder cancer, hepatocellular cancer, colorectal cancer, non-small cell lung cancer, oral squamous cell carcinoma, nasopharyngeal cancer, and glioma. Moreover, MINCR has been reported to act as a biomarker in the prognosis of patients with different cancers. In this review, we summarize and analyze the oncogenic roles of MINCR in a variety of human cancers in terms of its clinical significance, biological functions, cellular activities, and regulatory mechanism. Our analysis of the literature suggests that MINCR has potential as a novel biomarker and therapeutic target in human cancers.

Construction and validation of a nomogram based on the log odds of positive lymph nodes to predict cancer-specific survival in patients with small cell lung cancer after surgery.

Background: The lymph node ratio (LNR) is useful for predicting survival in patients with small cell lung cancer (SCLC). The present study compared the effectiveness of the N stage, number of positive LNs (NPLNs), LNR, and log odds of positive LNs (LODDS) to predict cancer-specific survival (CSS) in patients with SCLC. Materials and methods: 674 patients were screened using the Surveillance Epidemiology and End Results database. The Kaplan-Meier survival and receiver operating characteristic (ROC) curves were performed to address optimal estimation of the N stage, NPLNs, LNR, and LODDS to predict CSS. The optimal LN status group was incorporated into a nomogram to estimate CSS in SCLC patients. The ROC curve, decision curve analysis, and calibration plots were utilized to test the discriminatory ability and accuracy of this nomogram. Results: The LODDS model showed the highest accuracy compared to the N stage, NPLNs, and LNR in predicting CSS for SCLC patients. LODDS, age, sex, tumor size, and radiotherapy status were included in the nomogram. The results of calibration plots provided evidences of nice consistency. The ROC and DCA plots suggested a better discriminatory ability and clinical applicability of this nomogram than the 8th TNM and SEER staging systems. Conclusions: LODDS demonstrated a better predictive power than other LN schemes in SCLC patients after surgery. A novel LODDS-incorporating nomogram was built to predict CSS in SCLC patients after surgery, proving to be more precise than the 8th TNM and SEER staging.