A5079820394- Metabolomics and Mass Spectrometry Studies
- Genetic Associations and Epidemiology
- Advanced Clustering Algorithms Research
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Muscle metabolism and nutrition
- Diet and metabolism studies
- Liver Disease Diagnosis and Treatment
- Genetics and Physical Performance
- Genomic variations and chromosomal abnormalities
- MicroRNA in disease regulation
- Cancer, Lipids, and Metabolism
- Nutrition, Genetics, and Disease
- Cancer-related molecular mechanisms research
- Data Management and Algorithms
- Machine Learning in Bioinformatics
- Face and Expression Recognition
- Genomics and Rare Diseases
- Artificial Intelligence in Healthcare
- Image Retrieval and Classification Techniques
- Data Stream Mining Techniques
- Bariatric Surgery and Outcomes
- Genetic and phenotypic traits in livestock
- Anomaly Detection Techniques and Applications
- Cancer Genomics and Diagnostics
Hamad bin Khalifa University
2023-2025
Alexandria University
2014-2024
Weill Cornell Medical College in Qatar
2015-2024
Qatar Foundation
2023
Cornell University
2016
Weill Cornell Medicine
2016
University of Waterloo
2007-2012
Abstract Mesenchymal stem cells (MSC) are multipotent with great potential in therapy, reflected by more than 500 MSC-based clinical trials registered the NIH. MSC derived from multiple tissues but require invasive harvesting and imply donor-to-donor variability. Embryonic cell-derived (ESC-MSC) may provide an alternative, how similar they to ex vivo is unknown. Here we performed depth characterization of human ESC-MSC, comparing them bone marrow-derived (BM-MSC) as well embryonic (hESC)...
The outstanding performance of an elite athlete might be associated with changes in their blood metabolic profile. aims this study were to compare the profiles between moderate- and high-power endurance athletes identify potential pathways underlying these differences. Metabolic profiling serum samples from 191 different sports disciplines (121 high- 70 moderate-endurance athletes, including 44 144 moderate-power athletes), who participated national or international events tested negative...
Metabolomics has opened new avenues for studying metabolic alterations in type 2 diabetes. While many urine and blood metabolites have been associated individually with diabetes, a complete systems view analysis of dysregulations across multiple biofluids over varying timescales glycaemic control is still lacking.Here we report broad metabolomics study clinical setting, covering 2,178 metabolite measures saliva, plasma from 188 individuals diabetes 181 controls Arab Asian descent. Using...
In most ethnicities at least a quarter of all cases with diabetes is assumed to be undiagnosed. Screening for using saliva has been suggested as an effective approach identify affected individuals.The objective the study was noninvasive metabolic marker type 2 in saliva.In case-control diabetes, we used clinical metabolomics discovery screen diabetes-relevant readouts saliva, blood and urine reference. With combination three platforms based on nontargeted mass spectrometry, examined 2178...
Metabolomics-genome-wide association studies (mGWAS) have uncovered many metabolic quantitative trait loci (mQTLs) influencing human individuality, though predominantly in European cohorts. By combining whole-exome sequencing with a high-resolution metabolomics profiling for highly consanguineous Middle Eastern population, we discover 21 common variant and 12 functional rare mQTLs, of which 45% are novel altogether. We fine-map 10 mQTLs to new metabolite ratio associations, 11 putative...
Macro- and microvascular complications of type 2 diabetes (T2D), obesity, dyslipidemia share common metabolic pathways. In this study, using a total 1,300 metabolites from 996 Qatari adults (57% with T2D) 1,159 an independent cohort 2,618 individuals the Qatar BioBank (11% T2D), we identified 373 associated T2D, retinopathy, dyslipidemia, lipoprotein levels, 161 which were novel. Novel included phospholipids, sphingolipids, lysolipids, fatty acids, dipeptides, urea cycle xanthine, steroid,...
Selecting the most discriminative genes/miRNAs has been raised as an important task in bioinformatics to enhance disease classifiers and mitigate dimensionality curse problem. Original feature selection methods choose based on their individual features regardless of how they perform together. Considering group instead ones provides a better view for selecting informative genes/miRNAs. Recently, deep learning proven its ability representing data multiple levels abstraction, allowing...
Changes in an individual's human metabolic phenotype (metabotype) over time can be indicative of disorder-related modifications. Studies covering several months to a few years have shown that profiles are often specific for individual. This "metabolic individuality" and detected changes may contribute personalized approaches health care. However, it is not clear whether such individual metabotypes persist longer periods. Here we investigate the conservation characterized by 212 different...
Background: The genetic predisposition to elite athletic performance has been a controversial subject due the underpowered studies and small effect size of identified variants. aims this study were investigate association common single-nucleotide polymorphisms (SNPs) with endurance athlete status in large cohort European athletes using GWAS approach, followed by replication Russian Japanese functional validation metabolomics analysis. Results: 476,728 SNPs Illumina DrugCore Gene chip was...
Hutchinson-Gilford Progeria Syndrome (HGPS) is an extremely rare genetic disorder caused by mutations in the LMNA gene and characterized premature accelerated aging beginning childhood. In this study, we performed first genome-wide methylation analysis on blood DNA of 15 patients with progeroid laminopathies using Infinium Methylation EPIC arrays including 8 classical HGPS. We could observe alterations at 61 CpG sites as well 32 significant regions following a 5 Kb tiling analysis....
Most studies investigating human metabolomics measurements are limited to a single biofluid, most often blood or urine. An organism's biochemical pool, however, comprises complex transboundary relationships, which can only be understood by metabolic interactions and physiological processes spanning multiple parts of the body. Therefore, we here propose data-driven network-based approach generate an integrated picture associations over fluids. We performed analysis 2251 metabolites measured...
Abstract Genetic research of elite athletic performance has been hindered by the complex phenotype and relatively small effect size identified genetic variants. The aims this study were to identify predisposition investigating genetically-influenced metabolites that discriminate athletes from non-elite those associated with endurance sports. By conducting a genome wide association high-resolution metabolomics profiling in 490 athletes, common variant metabolic quantitative trait loci (mQTLs)...
Background. Early metabolic responses following bariatric surgery appear greater than the initial weight loss and coincide with remission/improvement in diabetes. We hypothesized that small noncoding microRNA changes might contribute to regulating mechanisms for diabetes remission. Methods. 29 type 2 patients (mean BMI 46.2 kg/m2) underwent Roux-en-Y gastric bypass (RYGB) surgery. Clinical measurements fasting blood samples were taken preoperatively at day 21 postoperatively. Diabetes...
T2D is of high prevalence in the middle east and thus studying its mechanisms a significant importance. Using 1026 Qatar BioBank samples, epigenetics, whole genome sequencing metabolomics were combined to further elucidate biological population with T2D.An epigenome-wide association study (EWAS) was performed using Infinium 850K EPIC array, followed by genome-wide SNP-CpG analysis (> 5.5 million SNPs) methylome-metabolome (CpG-metabolite) identified sites.A total 66 T2D-CpG associations...
Abstract Polygenic risk scores (PRS) hold prognostic value for identifying individuals at higher of type 2 diabetes (T2D). However, further characterization is needed to understand the generalizability T2D PRS in diverse populations across various contexts. We characterized a multi-ancestry among 244,637 cases and 637,891 controls eight from Population Architecture Genomics Epidemiology (PAGE) Study 13 additional biobanks cohorts. performance was context dependent, with better those who were...
Type 2 diabetes (T2D) is a complex metabolic disorder influenced by genetic, epigenetic, and environmental factors. Triglycerides lipoproteins play role in the development progression of both macro micro vascular complications our previous studies demonstrated correlation between DNA methylation genes associated with pathways. We now investigate association alterations triglycerides genomic risk scores (GRS), subjects from Qatar Biobank population. have identified TXNIP PFKFB2 gene to...
Background Supplements are widely used among elite athletes to maintain health and improve performance. Despite multiple studies investigating use of dietary supplements by athletes, a comprehensive profiling serum supplement metabolites in is still lacking. This study aims analyze the presence various xenobiotics samples from different sports, focusing on that potentially originate nutritional supplements.Methods Profiling 478 sports (football, athletics, cycling, rugby, swimming, boxing...
Berardinelli-Seip congenital lipodystrophy type 2 (CGL2) is a very rare human genetic disorder with potential significance to the understanding of pathobiology aging. CGL2 patients display characteristic progeroid features and suffer from diabetes, insulin resistance fatty liver. In this study, we profiled genome-wide DNA methylation levels in BSCL2 mutations study epigenetic age acceleration alterations. This analysis revealed significant blood using both first- second-generation clocks. We...
Variation in steroid hormone levels has wide implications for health and disease. The genes encoding the proteins involved disposition represent key determinants of interindividual variation ultimately, their effects. Beginning with metabolomic data from genome-wide association studies (GWAS), we observed that genetic variants orphan transporter, SLC22A24 were significantly associated androsterone glucuronide etiocholanolone (sentinel SNPs p-value <1x10-30). In cells over-expressing human or...