Bioinformatic analysis and verification of a lipid metabolism-related long noncoding RNA prognostic signature for head and neck squamous cell carcinoma.

PURPOSE: Both lipid metabolism reprogramming and lncRNAs exert effects on tumor development. We aimed to predict the prognosis of head and neck squamous cell carcinoma (HNSCC) based on lipid metabolism-related (LR)-lncRNAs. METHODS: LR-lncRNAs were determined from the RNA-ref profiles of HNSCC samples in The Cancer Genome Atlas (TCGA). The prognostic model was established by univariate Cox and Lasso regression analysis. Clinical relevance and predictive accuracy were investigated, and external validation was also performed in the Gene Expression Omnibus (GEO) cohort. Tumor immune infiltration and relevant functional analysis, including the association of autophagy with prognostic signatures, were conducted through single-sample gene set enrichment analysis (ssGSEA). The regulatory network of candidate LR-lncRNAs was investigated via coexpression, ceRNA and cis/trans acting interactions. Potential genes were selected through qRT-PCR analysis, and their effects on tumor biological activities and autophagic activity were explored after gene knockdown. RESULTS: A total of 222 LR-lncRNAs were identified. Among the 41 genes with prognostic significance, 17 lncRNAs were eligible for the risk model. Patients in the high-risk group had a poorer prognosis than those in the low-risk group, and the risk score was found to be positively associated with tumor microenvironment infiltration via multiple algorithms. Furthermore, improved prognosis was found in patients with high autophagic scores and low risk scores, and autophagy-related genes such as PINK1 and CCL2 showed significantly lower expression in the low-risk group. The expression of immune checkpoint genes such as CD28, CTLA4 and PDCD1 decreased dramatically in the high-risk group. The target genes of candidate lncRNAs were confirmed, such as ENO2 and PPAR-gamma. Furthermore, MIR4435-2HG was the most significantly overexpressed lncRNA in HNSCC cell lines and tumor samples, which could promote proliferation and migration and inhibit apoptosis. Additionally, MIR4435-2HG silencing activated autophagy by increasing LC3B expression. CONCLUSION: This study constructed an LR-lncRNA prognostic signature for HNSCC and indicated its relationships with tumor immunity and autophagy, which provides a promising future for LR-lncRNA-oriented prognostic tools and therapeutic targets.

Quercetin prevents isoprenaline-induced myocardial fibrosis by promoting autophagy via regulating miR-223-3p/FOXO3.

Atrial fibrillation (AF) is the common arrhythmias. Myocardial fibrosis (MF) is closely related to atrial remodeling and leads to AF. MF is the main cause of cardiovascular diseases and a pathological basis of AF. Thus, the underlying mechanism in MF and AF development should be fully elucidated for AF therapeutic innovation. Autophagy is a highly conserved lysosomal degradation pathway, and the relationship between autophagy and MF has been previously shown. Moreover, research reported that quercetin (Que) could ameliorate MF. The current study aimed to explore the mechanism of Que in MF. The results in this study showed that in clinical AF patients and in aged rats, miR-223-3p was high-expressed, while FOXO3 and autophagy pathway related proteins, such as ATG7, p62/SQSTM1 and the ratio of LC3B-II/LC3B-I were significantly inhibited. In vivo and in vitro studies, we found that Que can effectively inhibit the expression of miR-223-3p in AF model cells and rats myocardial tissues, and meanwhile enhance the expression of FOXO3 and activate the autophagy pathway, and significantly inhibit myocardial fibrosis, and improve myocardial remodeling in atrial fibrillation. All in all, in this study, we found that Que prevents isoprenaline-induced MF by increasing autophagy via regulating miR-223-3p/FOXO3.

Angiotensin-converting enzyme inhibitors and amyotrophic lateral sclerosis risk: a total population-based case-control study.

IMPORTANCE: Although several studies have shown that use of angiotensin-converting enzyme inhibitors (ACEIs) potentially decreased amyotrophic lateral sclerosis (ALS) risk in animal models, to our knowledge, there has been no human study in the literature discussing this issue. OBJECTIVE: To investigate the association between the use of ACEIs and the risk for developing ALS. DESIGN, SETTING, AND PARTICIPANTS: This case-control study was conducted using the total population of Taiwanese citizens seen in general medical practice; therefore, the findings can be applied to the general population. The case group comprised 729 patients with newly diagnosed ALS and a severely disabling disease certificate between January 1, 2002, and December 31, 2008. These cases were compared with 14,580 sex-, age-, residence-, and insurance premium-matched control individuals. EXPOSURES: Use of ACEIs was analyzed using a conditional logistic regression model that controlled for other antihypertensives, aspirin, steroids, nonsteroidal anti-inflammatory drugs, Charlson Comorbidity Index score, length of hospital stay, and number of outpatient visits. The cumulative defined daily dose (cDDD), which indicates the exposed duration of drug use, was estimated as the sum of dispensed DDD of drug and compared with the risk for ALS. MAIN OUTCOMES AND MEASURES: All patients with ALS fulfilled El Escorial criteria in this study. Medical claim data past 1 to 5 years of ALS first diagnosis date for patients and claim data from their matched control individuals were included in the analysis. RESULTS: There was a dose-dependent inverse association between ACEI use and the risk for developing ALS. When compared with patients who did not use ACEIs, the adjusted odds ratios were 0.83 (95% CI, 0.65-1.07; P = .15) for the group prescribed ACEIs lower than 449.5 of the cDDD and 0.43 cDDD (95% CI, 0.26-0.72; P = .001) for the group with a cumulative ACEI use of greater than 449.5 cDDD. The association was most predominant in men older than 55 years. CONCLUSIONS AND RELEVANCE: Use of ACEIs exhibited a dose-dependent inverse association with ALS. This study demonstrated a 57% risk reduction in the chance for developing ALS in people who used ACEIs greater than 449.5 cDDD in 4 years.