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Kamal, E.

Publications and source records attributed to Kamal, E..

5 recordsLinked to original sources

The nucleus accumbens shell regulates hedonic feeding via a rostral hotspot

The medial nucleus accumbens shell (medNAcSh) is increasingly recognized as a key node in the regulation of hedonic feeding, exerting strong control over reward consumption through its projections to downstream structures. Recent studies showed that one of the primary cellular mediators of these effects are dopamine 1 receptor positive striatal projection neurons (D1-SPNs). Specifically, population D1-SPN activity gets inhibited during reward consumption and such inhibition is necessary and sufficient to authorize reward consumption, independent of metabolic need. Anatomically, the medNAcSh spans a 1 to 1.5 mm distance along the rostro-caudal axis in mice and previous studies have reported functional gradients along this axis in behavioral control. For instance, classical pharmacological studies have suggested that rostral rather than caudal medNAcSh regulates appetitive behavior. However, the cellular, circuit, and molecular mechanisms underlying this topographical gradient remain unknown. Here we hypothesized that D1-SPNs contribute to this gradient by regulating hedonic feeding via a specific hotspot in the rostral medNAcSh. Using population level calcium monitoring with fiber photometry in mice, we show that rostral medNAcSh D1-SPNs demonstrate inhibitory responses during reward consumption, while caudal D1-SPNs do not. Consistently, optogenetic stimulation of rostral medNAcSh D1-SPNs inhibits consumption, while stimulation of caudal D1-SPNs had minimal effects, confirming the existence of a functional rostro-caudal gradient. Importantly, we observed no differences between rostral and caudal D1-SPNs in their behavioral or activity responses to aversive stimuli, suggesting that the D1-SPN gradient is specific to appetitive contexts. To investigate potential molecular correlates of this functional gradient, we leveraged open-source anatomy datasets and performed fluorescent in situ hybridization, identifying Stard5 and Peg10 as markers enriched in the rostral and caudal medNAcSh, respectively. Finally, we developed a novel Stard5-Flp driver mouse line, which allowed us to target the rostral hotspot selectively. We demonstrated that Stard5+ neurons recapitulate activity patterns of rostral medNAcSh D1-SPNs. Together, these findings establish a spatially confined rostral subregion of the medNAcSh as a critical regulator of reward consumption and introduce Stard5 as a molecular tool for its manipulation - offering new opportunities for intervention in dysregulated eating beyond classical homeostatic circuits.

neuroscience↗

Bioinformatics Analysis of Non-Coding UTR Variants in STAT1 Reveals Disruption of miRNA Binding, mRNA Stability, and Oncogenic Potential

Single nucleotide polymorphisms (SNPs) are associated with a wide range of disorders, including diverse cancer types. In the context of cancer, alterations within non-coding regions, specifically untranslated regions (UTRs), have proven substantially important. SNPs localized in the 3 prime UTRs of the STAT1 gene were assessed for their association with miRNAs using PolymiRTS, miRNASNP, and MicroSNIper. In addition, the 5 UTR SNPs were analyzed by SNP INFO for changes in the transcription factors binding sites. The significant SNPs were further analysed by Cscape to predict their oncogenic probability. The secondary structures of the wild type and the mutant mRNA were analysed by RNAfold. Out of 605 SNPs analyzed, 14 UTR SNPs (six in the 3 UTR region and eight in the 5 UTR region) were identified with functional annotation [≤]2a by RegulomeDB. The associations of 8 SNPs with miRNAs common between the 3 databases (PolymiRTS, miRNASNP, and MicroSNIper) were found. Moreover we identified six SNPs (rs1197872838, rs3088307, rs45470392, rs1413522785, rs531009254, and rs190508584) destabilize the mRNA structure resulting in substantial change in free energy ({Delta}G). The SNP rs45470392 in 5 UTR was predicted to alter the transcription factor binding sites. rs188557905, rs1220766131, rs1413522785, rs1168, and rs999207177 were predicted to be oncogenic SNPs in this study using bioinformatics tools. Our findings highlight the impact of 3 and 5 UTR SNPs on miRNA, transcription, and translation of STAT1. These analyses suggest that these SNPs can have substantial functional importance in the STAT1 gene. Future experimental validation could establish their potential role in the diagnosis and therapeutics of various diseases, including cancer.

bioinformatics↗

A Bioinformatics-Driven ceRNA Network in Stomach Adenocarcinoma: Identification of Novel Prognostic mRNA-miRNA-lncRNA Interactions

Stomach adenocarcinoma is a major contributor to worldwide mortality and poses a substantial challenge to improving life expectancy. The main objective of the current work was to identify diagnostic and prognostic biomarkers in stomach adenocarcinoma in order to advance translational medicine and patient outcomes. By accomplishing this objective, the research seeks to provide significant insights into the field of translational medicine. Seven novel unfavourable prognosis-associated genes (NALCN, CALCR, CPT1C, ELAVL3, FLJ16779, MYOZ3, and TPST1) were first identified. Additionally, 41 potential miRNAs were predicted. ELAVL3-hsa-mir-29a-3p and CALCR-hsa-mir-29a-3p axes were identified as two critical pathways in the carcinogenesis of stomach adenocarcinoma via a bioinformatics analysis. Following that, lncRNAs binding to hsa-mir-29a-3p were predicted via starBase and miRNet databases for predicting lncRNA binding sites. After conducting both expression and survival analyses for these predicted lncRNAs, we found that only one lncRNA (KCNQ1OT1) was markedly overexpressed in stomach adenocarcinoma, and its elevated expression was associated with an unfavourable prognosis. Next, we established a comprehensive mRNA-miRNA-lncRNA triple ceRNA network linked to the prognosis of patients with stomach adenocarcinoma. In summary, the current study provides an extensive ceRNA network that highlights novel diagnostic and prognostic biomarkers for stomach adenocarcinoma.

bioinformatics↗

Integrating Bioinformatics and Artificial Intelligence Methods to identify disruptive STAT1 variants impacting Protein Stability and Function

The Signal Transducer and Activator of Transcription 1 (STAT1) gene is an essential component of the JAK-STAT signalling pathway. This pathway has a pivotal role in regulating different cellular processes, including immune responses, cell growth, and apoptosis. Mutations in the STAT1 gene contribute to various body pathologies [OMIM #600555], including immune system dysfunction. In the current study, we used eighteen online computational approaches. Six pathogenic variants (R602W, I648T, V642D, L600P, I578N, and W504C) were predicted to significantly disrupt protein stability and function. These findings highlight the potential of approaches to pinpoint pathogenic single nucleotide polymorphisms, providing a time and cost effective alternative to experimental approaches. Up to the best of our knowledge, this is the original inclusive study, where we analyze STAT1 gene variants using both bioinformatics and artificial intelligence based model tools.

bioinformatics↗

Genetic diversification of persistent Mycobacterium abscessus within Cystic Fibrosis patients

Mycobacterium (M.) abscessus infections in Cystic Fibrosis (CF) patients cause a deterioration of lung function. Treatment of these multidrug-resistant pathogens is associated with severe side-effects, while frequently unsuccessful. Insight on M. abscessus genomic evolvement during chronic lung infection would be beneficial for improving treatment strategies. A longitudinal study enrolling 42 CF patients was performed at a CF center in Berlin, Germany, to elaborate phylogeny and genomic diversification of in-patient M. abscessus. Eleven of the 42 CF patients were infected with M. abscessus. Global human-transmissible M. abscessus cluster strains were isolated from five of these 11 patients. Phylogenetic analysis of 88 genomes from isolates of the 11 patients excluded occurrence of M. abscessus transmission among members of the study group. Genome sequencing and variant analysis of 30 isolates from 11 serial respiratory samples collected over four years from a chronically infected patient demonstrated accumulation of gene mutations. In total, 53 genes exhibiting non-synonymous variations were identified. Enrichment analysis emphasized genes involved in synthesis of glycopeptidolipids, genes from the embABC (arabinosyltransferase) operon, betA (glucose-methanol-choline oxidoreductase) and choD (cholesterol oxidase). Genetic diversity evolved in a variety of virulence- and resistance-associated genes. The strategy of M. abscessus populations in chronic lung infection is not clonal expansion of dominant variants, but to sustain simultaneously a wide range of genetic variants facilitating adaptation of the population to changing living conditions in the lung. Genomic diversification during chronic infection requires increased attention when new control strategies against M. abscessus infections are explored.

genomics↗