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Ata, N.

Publications and source records attributed to Ata, N..

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Longitudinal and stability-aware analysis reveals treatment-specific microRNA response signatures following immune-reconstitution and B-cell-targeted therapies in multiple sclerosis

Disease-modifying therapies (DMT)s) for relapsing-remitting multiple sclerosis (RRMS) act through distinct immunological mechanisms, yet the within-patient molecular response programs associated with these therapies remain incompletely defined. Here, we reanalysed publicly available PBMC miRNA microarray data (GSE230064) using a longitudinal, robustness-focused framework to compare therapy-associated miRNA response patterns following cladribine versus ocrelizumab treatment. Baseline (t0) and 6-month post-treatment (t1) samples were paired within individuals and technical replicates consolidated prior to analysis, yielding a final paired cohort of 4 cladribine-treated and 6 ocrelizumab-treated patients. Within each treatment arm, we quantified per-patient {Delta}-miRNA (t1-t0) values and prioritized therapy-associated response features using a multi-evidence framework integrating effect direction, magnitude, directional consistency across individuals, and leave-one-out sensitivity. Cladribine treatment was associated with a highly coordinated, directionally concordant upregulation of five miRNAs including hsa-miR-27a-3p, hsa-miR-27b-3p, hsa-miR-503-5p, hsa-miR-148a-3p, and hsa-miR-26a-5p, all exhibiting 100% directional stability across patients and mean {Delta}-expression values ranging from +0.77 to +1.38. These miRNAs target pathways relevant to MS pathophysiology, including Th17/Treg balance, Wnt-{beta}-catenin signaling, macrophage polarization, and epigenetic immune regulation. In contrast, ocrelizumab elicited a more selective response pattern, with five miRNAs including hsa-miR-100-5p, hsa-miR-410-3p, hsa-miR-432-5p, hsa-miR-296-5p, and hsa-miR-485-3p showing moderate directional stability (83%) and greater inter-individual heterogeneity, consistent with the more targeted mechanism of CD20+ B-cell depletion. Notably, the two treatment-associated signatures were non-overlapping, with hsa-miR-27b-3p representing the only miRNA shared with prior cross-sectional analyses of this dataset. The identified ocrelizumab-associated miRNAs implicate pathways including mTOR/IGF1R signaling, NF-{kappa}B regulation, RNA editing, and mitochondrial biogenesis, several of which are dysregulated in progressive MS. Together, these findings demonstrate that cladribine and ocrelizumab induce distinct, treatment-specific miRNA response architectures that reflect their divergent immunological mechanisms. This work establishes a stability-aware analytic template for extracting reproducible longitudinal miRNA signals from small paired RRMS cohorts and provides a ranked set of biologically plausible candidate miRNAs for prospective validation and mechanistic investigation.

immunology↗

Utility of an untargeted metabolomics approach using a 2D GC-GC-MS platform to distinguish relapsing and progressive multiple sclerosis

IntroductionMultiple sclerosis (MS) is the most common inflammatory neurodegenerative disease of the central nervous system (CNS) in young adults and results in progressive neurological defects. The relapsing-remitting phenotype (RRMS) is the most common disease course in MS and may progress to the progressive form (PPMS). ObjectivesThere is a gap in knowledge regarding whether the relapsing form can be distinguished from the progressive course or healthy subjects (HS) based on an altered serum metabolite profile. In this study, we performed global untargeted metabolomics with the 2D GCxGC-MS platform to identify altered metabolites between RRMS, PPMS, and HS. MethodsWe profiled 235 metabolites in the serum of patients with RRMS (n=41), PPMS (n=31), and HS (n=91). A comparison of RRMS and HS patients revealed 22 significantly altered metabolites at p<0.05 (false discovery rate [FDR]=0.3). The PPMS and HS comparisons revealed 28 altered metabolites at p<0.05 (FDR=0.2). ResultsPathway analysis using MetaboAnalyst revealed enrichment of four metabolic pathways in both RRMS and PPMS (hypergeometric test p<0.05): 1) galactose metabolism; 2) amino sugar and nucleotide sugar metabolism; 3) phenylalanine, tyrosine, and tryptophan biosynthesis; and 4) aminoacyl-tRNA biosynthesis. The Qiagen IPA enrichment test identified the sulfatase 2 (SULF2) (p=0.0033) and integrin subunit beta 1 binding protein 1 (ITGB1BP1) (p=0.0067) genes as upstream regulators of altered metabolites in the RRMS vs. HS groups. However, in the PPMS vs. HS comparison, valine was enriched in the neurodegeneration of brain cells (p=0.05), and heptadecanoic acid, alpha-ketoisocaproic acid, and glycerol participated in inflammation in the CNS (p=0.03). ConclusionOverall, our study suggested that RRMS and PPMS may contribute metabolic fingerprints in the form of unique altered metabolites for discriminating MS disease from HS, with the potential for constructing a metabolite panel for progressive autoimmune diseases such as MS.

bioinformatics↗

Colistin resistance genes in Escherichia coli isolated from patients with urinary tract infections

IntroductionAntimicrobial resistance is alarmingly high because it happens in humans, environment, and animal sectors from a "One Health" viewpoint. Due to the fact, that Escherichia coli (E. coli) is broadly disseminated in all sectors, the food web and the environment may have a role in carrying colistin resistance genes from animals to humans. The rise of plasmid-mediated mobile colistin resistance (MCR) genes threatens colistin efficacy, which is the last line to remedy Gram-negative infections multidrug resistance (MDR). ObjectivesThe current study aimed to investigate development of colistin resistance (MCR 1-5) genes between E. coli isolated from patients with urinary tract infections (UTI) in Jordan. MethodsE. coli (n=132) isolated were collected from urine specimens. E. coli isolated from human UTI patients were examined for genes resistance to colistin MCR (1-5). All isolates were investigated against 20 antimicrobials utilizing the standard disk diffusion method. For analysis of colistin resistance, the broth microdilution technique was employed. In addition, the MCR (1-5) genes were detected by multiplex PCR assay. ResultsOut of 132 isolates, one isolate was colistin-resistant, having a minimum inhibitory concentration of 8 g/mL and possessing the MCR -1 gene. A total of 132 E. coli isolates showed high resistance against penicillin, amoxicillin, cephalexin, nalidixic acid, tetracycline, and cefepime in the percentages of 100%, 79.55%, 75.76%, 62.88%, 58.33%, and 53.79%, respectively. However, resistance was lowest towards fosfomycin (6.06%), florfenicol (10.61%), and chloramphenicol (15.91%). Significant differences were observed between E. coli isolated from pediatrics and those isolated from adults. ConclusionThis is the first report on the presence of the plasmid-coded MCR-1 gene recovered from E. coli from a patient with UTIs in Jordan. That is threatening as colistin is the last line used for infections induced by MDR gram-negative bacteria. There is a crucial need for control and harsh utilization of antibiotics to control and prevent the emergence and prevalence of colistin resistance genes. SummaryE. coli isolated from human UTI patients were examined for genes resistance to colistin MCR (1-5). This is the first report on the presence of the plasmid-coded MCR-1 gene recovered from E. coli from a patient with UTIs in Jordan. That is threatening as colistin is the last line used for infections induced by MDR gram-negative bacteria. There is a crucial need for control and harsh utilization of antibiotics to control and prevent the emergence and prevalence of colistin resistance genes. A total of 132 E. coli isolates showed high resistance against penicillin, amoxicillin, cephalexin, nalidixic acid, tetracycline, and cefepime in the percentages of 100%, 79.55%, 75.76%, 62.88%, 58.33%, and 53.79%, respectively

microbiology↗

Blood-based targeted metabolipidomics reveals altered omega fatty acid-derived lipid mediators in relapsing-remitting multiple sclerosis patients

Unresolved and uncontrolled inflammation is considered a hallmark of pathogenesis in chronic inflammatory diseases like multiple sclerosis (MS), suggesting a defective resolution process. Inflammatory resolution is an active process partially mediated by endogenous metabolites of dietary polyunsaturated fatty acids (PUFA), collectively termed specialized pro-resolving lipid mediators (SPMs). Altered levels of resolution mediators have been reported in several inflammatory diseases and may partly explain impaired inflammatory resolution. Performing LC-MS/MS-based targeted lipid mediator profiling, we observed distinct changes in fatty acid metabolites in serum from 30 relapsing-remitting MS (RRMS) patients relative to 30 matched healthy subjects (HS). Robust linear regression revealed 12 altered lipid mediators after adjusting for confounders (p <0.05). Of these, 15d-PGJ2, PGE3, and LTB5 were increased in MS while PGF2a, 8,9-DiHETrE, 5,6-DiHETrE, 20-HETE, 15-HETE, 12-HETE, 12-HEPE, 14-HDoHE, and DHEA were decreased in MS compared to HS. In addition, 12,13-DiHOME and 12,13-DiHODE were positively correlated with expanded disability status scale values (EDSS). Using Partial Least Squares, we identified several lipid mediators with high VIP scores (VIP > 1: 32% - 52%) of which POEA, PGE3, DHEA, LTB5, and 12-HETE were top predictors for distinguishing between RRMS and HS (AUC =0.75) based on the XGBoost Classifier algorithm. Collectively, these findings suggest an imbalance between inflammation and resolution. Altogether, lipid mediators appear to have potential as diagnostic and prognostic biomarkers for RRMS.

biochemistry↗