Impact of early swallowing rehabilitation on oral feeding in patients with dysphagia following traumatic brain injury.

OBJECTIVE: This study aimed to evaluate the effects of early swallowing rehabilitation on safe oral feeding in dysphagia patients following traumatic brain injury. METHODS: Sixty-nine patients were divided into intervention and control groups, with the intervention group receiving swallowing rehabilitation therapy. The severity of swallowing disorders, cognitive function, and level of consciousness were assessed using the Mann Assessment of Swallowing Ability (MASA), Rancho Los Amigos (RLA), and Glasgow Coma Scale (GCS) before and after the intervention. Additionally, data on ventilator use duration and hospital stay length were collected. RESULT: The intervention group exhibited a significant improvement in MASA scores (68.58) compared to the control group (38.10). No significant differences were observed in GCS and RLA scores post-intervention, indicating similar levels of consciousness and cognitive function between groups. While the duration of ventilator use was comparable, the intervention group achieved safe oral swallowing 12.12 days earlier than the control group. DISCUSSION: The findings demonstrate that early swallowing rehabilitation significantly enhances recovery dysphagia post-brain injury, as evidenced by improved MASA scores and earlier achievement of safe oral feeding, despite no notable changes in cognition or consciousness. This underscores the importance of implementing early rehabilitation strategies in clinical practice.

Comparison of GAP, R-GAP, and new trauma score (NTS) systems in predicting mortality of traffic accidents that injure hospitals at Mashhad University of medical sciences.

Background: There are several trauma scoring systems with varying levels of accuracy and reliability that have been developed to predict and classify mortality in trauma patients in the hospital admission. Considering the importance of the country's emergency organization and the World Health Organization in the category of traffic accidents, we used this information in the study. The objective of this study is to evaluate and compare the predictive power of three scoring systems (R-GAP, GAP, and NTS) on traffic accident injuries. Methods: In an analytical cross-sectional study, all the data related to the mission of traffic accidents at the pre-hospital emergency management of Mashhad University of Medical Sciences in 2022 were extracted from the automation system, and the outcome of the patients in the hospital was recorded from the integrated hospital system. Then, GAP, R-GAP, and New Trauma Scores (NTS) were calculated, and their results were compared using ROC curve and logistic regression. Results: In this study, 47,971 injuries from traffic accidents were evaluated. Their average age was 30.16 ± 10.93 years. R-GAP showed negligible difference than GAP and NTS scores (the area under the curve equals 0.904, 0.935, and 0.884, respectively), and the average scores of R-GAP, GAP, and NTS are equal to 22.45/45 ± 1/9, 22.25 ± 1.5, and 22.49 ± 1.3, respectively. Injury severity based on R-GAP, GAP, and NTS scores was mild in most patients. The effect of these models on the patient outcome based on OR values, R-GAP, GAP, and NTS models showed high values. All analysis was performed in SPSS 26. Conclusion: According to the study results, it seems that R-GAP, GAP, and NTS, have the highest power to predict death in traffic accident injuries. It is recommended to include these points in the electronic file of the pre-hospital emergency for the injured. Also, the severity and outcome of the patient can be predicted by these scores, which play an important role in the triage of the injured and determining the appropriate treatment center.

Demethylation of CDKN2A in systemic lupus erythematosus and rheumatoid arthritis: a blood biomarker for diagnosis and assessment of disease activity.

INTRODUCTION/OBJECTIVES: Considering the phenotypic and serological heterogeneity of systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA), significant challenges may intervene with the precise diagnosis. In this regard, numerous studies have shown that changes in DNA methylation levels can be used to distinguish between healthy individuals and those with SLE and RA, as well as to predict disease activity and prognosis. METHODS: In the current study, we evaluated quantitative methylation level of CDKN2A promoter in peripheral blood mononuclear cells (PBMCs) of SLE and RA patients, and healthy controls by methylation-quantification of endonuclease-resistant DNA (MethyQESD), a bisulfite conversion-independent method. RESULTS: Our findings revealed an excessive hypomethylation of CDKN2A in SLE and RA patients compared to healthy individuals (P < 0.001). Besides, by determining efficient cutoff value, the specificity of CDKN2A for correct diagnosis of healthy subjects was measured to be 77.30% and the sensitivity for SLE and RA diagnosis were 81.33%, and 72%, respectively. Furthermore, CDKN2A methylation level was shown to be positively associated with C3 and C4 levels and negatively associated with anti­dsDNA concentration (P < 0.001). Moreover, a statistically significant difference in the DNA methylation levels of CDKN2A promoter was identified between SLE cases with age of ≤ 18 and patients with > 18 years of age (P = 0.025). CONCLUSION: Our findings demonstrated that CDKN2A methylation levels in PBMCs of SLE and RA patients could be used as a promising diagnostic biomarker. The significant association between hypomethylation of CDKN2A promoter and disease activity factors in SLE patients, is suggesting that CDKN2A hypomethylation could be used as an alternative biomarker for assessment of disease activity. Key Points • Several studies have reported increased expression of CDKN2A in SLE and RA suggesting that it may be involved in the pathogenesis of these disorders. • CDKN2A hypomethylation has been implicated in different autoimmune diseases. • Our findings demonstrated that CDKN2A methylation levels in PBMCs of SLE and RA patients could be used as a promising diagnostic and prognostic biomarker.

Significant hypomethylation of MMP9 gene promoter in patients with systemic lupus erythematosus.

OBJECTIVE: Scholars are exploring novel diagnostic and prognostic biomarkers with higher sensitivity and specificity for systemic lupus erythematosus (SLE). In this regard, DNA methylation alterations have aroused attention. The association between the dysfunction of MMP9 and TNFAIP3 genes and SLE has been previously demonstrated. Therefore, in this study, we investigated the methylation level of MMP9 and TNFAIP3 promoters in peripheral blood mononuclear cells (PBMCs) of SLE patients and healthy controls. METHODS: Eighty Iranian SLE patients and 77 healthy individuals were enrolled. The methylation quantification endonuclease-resistant DNA (MethyQESD) method was used to assess methylation levels of MMP9 and TNFAIP3 in extracted DNA of PBMCs. To quantify the diagnostic utility of the promoter methylation level of these genes, the receiver operating characteristic (ROC) curve was constructed. RESULTS: MMP9 promoter was significantly hypomethylated in SLE patients compared with healthy people (p < 0.001), while there was no significant difference in terms of TNFAIP3 promoter methylation levels (p = 0.167). Also, this differential MMP9 methylation was observed in patients with renal involvement and patients without renal involvement (42.07 ± 25.73 vs 56.74 ± 29.71, p = 0.007). ROC analyses indicated that the diagnostic power of the MMP9 promoter methylation level for SLE was 0.839 [95% CI (0.781-0.911)]. Moreover, MMP9 methylation level was negatively correlated with creatinine and anti-dsDNA concentration and positively correlated with C3 and C4 levels. CONCLUSION: The results of this study highlight the application of MMP9 methylation level in PBMCs of SLE patients as a diagnostic biomarker.

A functional microRNA binding site variant in IL-23R gene in systemic lupus erythematosus and rheumatoid arthritis: is there any correlation?

BACKGROUND: IL-23 receptor (IL-23R) dysregulation has been shown to have critical roles in pathogenesis of different autoimmune diseases including systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA) via suppression of regulatory T cells (Tregs) as well as differentiation, expansion, and survival of T helper 17 (Th17) cells, followed by upregulation of interleukin 17 (IL-17). Here, we assessed the association of a functional microRNAs (miRNAs)-related single nucleotide polymorphism (miR-SNPs: rs10889677) in IL-23R, which was correlated with its overexpression and increased risk for SLE and RA in the Iranian population. METHODS: Genotype and allele distribution of rs10889677 variant were investigated in 105 RA patients, 100 SLE cases and 105 healthy controls via polymerase chain reaction- restriction fragment length polymorphism (PCR-RFLP) method. RESULTS: Our findings suggested that AA genotype, but not AC genotype, was associated with increased risk of RA (AA vs. CC; OR: 3.27; 95%CI [1.467-7.551]). The allele A was more frequent in RA group compared to controls (A allele vs. C allele; OR: 1.92; 95%CI [1.282-2.894]). This common variant was not significantly correlated with SLE risk in our population (P > 0.05). However, stratification analysis indicated that RA patients with AA genotype show higher serum concentration levels of C-reactive protein (CRP) (P: 0.008). No obvious correlation was noticed between different genotypes in SLE cases, except for a slight difference in terms of oral ulcer manifestation incidence (P: 0.038). CONCLUSION: This study suggests a significant relationship between rs10889677 variant in IL-23R with increased risk of RA and some clinical features in RA and SLE patients.

Assessment of the association between TNIP1 polymorphism with clinical features and risk of systemic lupus erythematosus.

OBJECTIVE: Over the past decades, TNIP1 has been identified as a strong risk locus in multiple genome-wide association studies (GWAS), spanning multiple populations and various autoimmune diseases. TNIP1 is a polyubiquitin-binding protein that works as a physiological inhibitor of NF-κB and maintains immune homeostasis. Some studies have confirmed that TNIP1 is downregulated in autoimmune diseases such as rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE). In the current study, for the first time, we evaluated the possible association between rs6889239 polymorphism in the TNIP1 gene with the risk and clinical characteristics of RA and SLE in the Iranian population. METHOD: In this case-control study, 115 patients with RA, 115 patients with SLE, and 115 unrelated healthy subjects were enrolled to estimate rs6889239 genotypes with real-time PCR high resolution melting (HRM) method. RESULTS: Our results demonstrated considerable associations between CC genotype and C allele of rs6889239 with augmented risk of SLE (OR for CC genotype= 2.23; 95%CI [1.175-4.307], OR for C allele= 1.84; 95%CI [1.254-2.720]). However, there was an insignificant association between genotypes and allele frequencies of rs6889239 with the occurrence risk of RA in the population under study (p > 0.05). Additionally, stratification analysis specified that the C allele in rs6889239 was linked with the incidence of renal involvement in SLE patients and lower age of onset in the RA group (p < 0.05). CONCLUSION: These findings propose a significant association between TNIP1 polymorphism and higher risk of SLE and some clinical characteristics of RA and SLE.

Identification of gene signature in RNA-Seq hepatocellular carcinoma data by Pareto-optimal cluster algorithm.

Aim: This study aimed to detect gene signatures in RNA-sequencing (RNA-seq) data using Pareto-optimal cluster size identification. Background: RNA-seq has emerged as an important technology for transcriptome profiling in recent years. Gene expression signatures involving tens of genes have been proven to be predictive of disease type and patient response to treatment. Methods: Data related to the liver cancer RNA-seq dataset, which included 35 paired hepatocellular carcinoma (HCC) and non-tumor tissue samples, was used in this study. The differentially expressed genes (DEGs) were identified after performing pre-filtering and normalization. After that, a multi-objective optimization technique, namely multi-objective optimization for collecting cluster alternatives (MOCCA), was used to discover the Pareto-optimal cluster size for these DEGs. Then, the k-means clustering method was performed on the RNA-seq data. The best cluster, as a signature for the disease, was found by calculating the average Spearman's correlation score of all genes in the module in a pair-wise manner. All analyses were performed in the R 4.1.1 package in virtual space with 100 Gb of RAM memory. Results: Using MOCCA, eight Pareto-optimal clusters were obtained. Ultimately, two clusters with the greatest average Spearman's correlation coefficient scores were chosen as gene signatures. Eleven prognostic genes involved in HCC's abnormal metabolism were identified. In addition, three differentially expressed pathways were identified between tumor and non-tumor tissues. Conclusion: These identified metabolic prognostic genes help us to provide more powerful prognostic information and enhance survival prediction for HCC patients. In addition, Pareto-optimal cluster size identification is suggested for gene signature in other RNA-Seq data.

Association of rs3135500 and rs3135499 Polymorphisms in the MicroRNA-binding Site of Nucleotide-binding Oligomerization Domain 2 (NOD2) Gene with Susceptibility to Rheumatoid Arthritis.

The nucleotide-binding oligomerization domain 2 (NOD2) is the key regulator of inflammatory responses and has been involved in the pathogenesis of rheumatoid arthritis (RA). Laboratory and in silico evaluations have demonstrated that some polymorphisms in 3'UTR of NOD2 gene could influence the secondary structure of this region and similarly thermodynamic features of hybridization site and finally deregulate the expression of NOD2. In the current study, for the first time, we evaluated the possible association between single nucleotide polymorphisms (SNPs) rs3135500 and rs3135499 in the NOD2 gene with RA risk in the Iranian population. One hundred and fifteen patients with RA and 120 healthy subjects were recruited in this case-control study. Genotyping of rs3135500 and rs3135499 polymorphisms were accomplished using the real­time polymerase chain reaction high resolution melting (HRM) method. We found a substantial association of AA and AG genotypes in rs3135500 with the risk of RA (AA vs GG; OR=5.547; 95%CI [2.564-11.999]; p<0.001 and AG vs GG; OR=2.179; 95%CI [1.145-4.147]; p=0.017). Moreover, in the patient group, there was a significant relationship between the increased concentration of erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) with rs3135500 (A allele) (p<0.05). However, there were no important associations between rs3135499 with the risk of RA (p>0.05). However, we found a noteworthy association of the C allele in rs3135499 with an increased level of CRP in patients (p>0.05). Our findings propose a considerable association between NOD2 polymorphisms with increased risk of RA and disease activity.