Major histocompatibility complex (MHC) associations with diseases in ethnic groups of the Arabian Peninsula.

Since the discovery of human leukocyte antigens (HLAs), the function of major histocompatibility complex (MHC) gene families in a wide range of diseases have been the subject of research for decades. In particular, the associations of autoimmune disorders to allelic variants and candidate genes encoding the MHC are well documented. However, despite decades of research, the knowledge of MHC associations with human disease susceptibility have been predominantly studied in European origin, with limited understanding in different populations and ethnic groups. This is particularly evident in countries and ethnic populations of the Arabian Peninsula. Human MHC haplotypes, and its association with diseases, of the variable ethnic groups of this region are poorly studied. This review compiled published manuscripts that have reported a list of autoimmune diseases (insulin-dependent diabetes mellitus, systemic lupus erythematosus, myasthenia gravis, rheumatoid arthritis, psoriasis vulgaris, and multiple sclerosis) associated with MHC class I and class II in the populations of the Arabian Peninsula, specifically Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, the United Arab Emirates, and Yemen. Data available was compared with other three ethnic groups, namely Caucasians, Asians, and Africans. The limited data available in the public domain on the association between MHC gene and autoimmune diseases highlight the challenges in the Middle Eastern region.

HLA class I allele lineages and haplotype frequencies in Arabs of the United Arab Emirates.

The high degree of polymorphism of the HLA system provides suitable genetic markers to study the diversity and migration of different world populations and is beneficial for forensic identification, anthropology, transplantation and disease associations. Although the United Arab Emirates (UAE) population of about nine million people is heterogeneous, information is limited for the HLA class I allele and haplotype frequencies of the Bedouin ethnic group. We performed low-resolution PCR-SSP genotyping of three HLA class I loci at HLA-A, -B and -C for 95 unrelated healthy Bedouins from the cities of Al Ain and Abu Dhabi in the UAE. A total of 54 HLA allele lineages were detected; the most frequent low-resolution allele lineages at each HLA locus were A*02 (0.268), B*51 (0.163) and C*07 (0.216). The inferred estimates for the two most frequent HLA-A and HLA-B haplotypes were HLA-A*02 ~ HLA-B*50 (0.070) and HLA-A*02 ~ HLA-B*51 (0.051), and the most frequent 3-locus haplotype was HLA-A*02 ~ HLA-B*50 ~ HLA-C*06 (0.068). The HLA allele lineage frequencies of the UAE Arabs were compared to those previously reported for 70 other world populations, and a strong genetic similarity was detected between the UAE Arabs and the Saudi Arabians from the west with evidence of a limited gene flow between the UAE Arabs and Pakistani across the Gulf from the east, and the UAE Arabs and Omani from the south of the Gulf Peninsula.

MHC class I polymorphic Alu insertion (POALIN) allele and haplotype frequencies in the Arabs of the United Arab Emirates and other world populations.

Polymorphic Alu insertions (POALINs) are found throughout the human genome and have been used in various studies to infer geographic origin of human populations. The main aim of this study was to determine the allele and haplotype frequencies of five POALINs, AluHF, AluHG, AluHJ, AluTF and AluMICB, within the major histocompatibility complex (MHC) class I region of 95 UAE Arabs, and correlate their frequencies to those of the HLA-A, HLA-C and HLA-B class I allele lineages. Evolutionary relationships between the POALINs of the Arabs and those previously studied in populations of African, Asian and European descent were compared. At each of the five Alu loci (AluHF, AluHG, AluHJ, AluTF and AluMICB), Alu insertion was designated as Alu(locus)*02 and absence was Alu(locus)*01. The AluHG insertion (AluHG*02) had the highest frequency (0.332), followed by AluHF*02 (0.300), AluHJ*02 (0.263), AluMICB*02 (0.111) and AluTF*02 (0.058). Of the 270 Alu-HLA haplotypes pairs in the UAE Arabs, 110 had no Alu insertion, and 54 had an Alu insertion at >50% per haplotype. An Alu insertion >75% per haplotype was found between AluMICB*02 and HLA-B*14, HLA-B*22, HLA-B*44, HLA-B*55, HLA-B*57 and HLA-B*73, and with HLA-C*01 and HLA-C*18; AluHJ*02 with HLA-A*01, HLA-A*19, HLA-A*24 and HLA-A*32; AluHG*02 with HLA-A*02 and HLA-B*18; and AluHF*02 with HLA-A*10. The genotyped allele and haplotype frequencies of the MHC POALINs in UAE Arabs were compared with the results of 30 previously published Asian, European, American and African populations. Phylogenetic and multidimensional scaling (MDS) analysis of the relative MHC POALINs allele and haplotype frequencies revealed that the UAE Arabs have a similar lineage to Caucasians and the most distant genetic relationship to the Waorani native American population of Ecuador. The structure of both the phylogenetic tree and the MDS analysis supports the Out of Africa theory of human evolution. The nature of the clusters suggests the Arabian Middle East represents a crossroads from which human populations migrated towards Asia in the east and Europe to the north-west.

Y-Chromosome haplotypes reveal relationships between populations of the Arabian Peninsula, North Africa and South Asia.

BACKGROUND: The United Arab Emirates (UAE) is positioned at the crossroads of human migration out of Africa and through to Asia and Europe. AIM: To compare the degree of genetic diversity of the Arabian UAE population with populations in other countries from the Middle East, South Asia and North Africa. SUBJECTS AND METHODS: Twenty-seven Y-STR were analysed in 217 individuals. Y-STR haplotypes from this study were compared to population data stored in YHRD, using MDS and AMOVA. RESULTS: Two hundred and twelve haplotypes were observed in the 217 individuals studied. Although the reduction in Y-STR loci from 27 to 17 resulted in a decrease in discriminatory power, comparisons of populations were possible. The UAE population clustered closer with other populations of the Middle East. The South Asian and North African populations were separated by Middle Eastern populations in between both clusters. CONCLUSION: This is the first study to report the diversity of a population of the Arabian Peninsula using 27 Y-STR. MDS plots show that Middle Eastern populations are positioned in the centre, with African, Asian and European populations around the Arab population cluster. The findings of this study are consistent with this region being at the epicentre of human migration between continents.

Interfacing Machine Learning and Microbial Omics: A Promising Means to Address Environmental Challenges.

Microbial communities are ubiquitous and carry an exceptionally broad metabolic capability. Upon environmental perturbation, microbes are also amongst the first natural responsive elements with perturbation-specific cues and markers. These communities are thereby uniquely positioned to inform on the status of environmental conditions. The advent of microbial omics has led to an unprecedented volume of complex microbiological data sets. Importantly, these data sets are rich in biological information with potential for predictive environmental classification and forecasting. However, the patterns in this information are often hidden amongst the inherent complexity of the data. There has been a continued rise in the development and adoption of machine learning (ML) and deep learning architectures for solving research challenges of this sort. Indeed, the interface between molecular microbial ecology and artificial intelligence (AI) appears to show considerable potential for significantly advancing environmental monitoring and management practices through their application. Here, we provide a primer for ML, highlight the notion of retaining biological sample information for supervised ML, discuss workflow considerations, and review the state of the art of the exciting, yet nascent, interdisciplinary field of ML-driven microbial ecology. Current limitations in this sphere of research are also addressed to frame a forward-looking perspective toward the realization of what we anticipate will become a pivotal toolkit for addressing environmental monitoring and management challenges in the years ahead.

Segregation Analysis of Genotyped and Family-Phased, Long Range MHC Classical Class I and Class II Haplotypes in 5 Families With Type 1 Diabetes Proband in the United Arab Emirates.

The classical Human Leucocyte Antigen (HLA) class II haplotypes of the Major Histocompatibility Complex (MHC) that are associated with type 1 diabetes (T1D) were identified in five families from the United Arab Emirates (UAE). Segregation analyses were performed on these 5 families with the disease, 3 with one child and 2 with 2 children diagnosed with T1D. Three HLA-DR4 haplotypes were identified: HLA- DRB1∗04:01:01-DQB1∗03:02:01:01; HLA- DRB1∗04:02:01- DQB1∗03:02:01; and HLA -DRB1∗04:05:01-DQB1∗02:02:01:02. All have previously been identified to be associated with T1D in studies of the Arabian population. In the 10 parents from the 5 families, 9 had at least one HLA-DR4 and HLA-DR3 haplotype which potentially increases the risk of T1D. Of these 9 parents, 3 were heterozygous for HLA-DR4/HLA-DR3 and one was homozygous for HLA-DR3. Two haplotypes that were identified here extend to the HLA class I region were previously designated AH8.2 (HLA -A∗26-B∗08-DRB1∗03) and AH50.2 (HLA -C∗06-B∗50-DRB1∗03:01-DQ∗02) and associated with diabetes in neighboring North Indian populations. This study provides examples of MHC haplotype analysis in pedigrees to improve our understanding of the genetics of T1D in the understudied population of the UAE.

Ultrasound-mediated drug delivery by gas bubbles generated from a chemical reaction.

Highly echogenic and ultrasound-responsive microbubbles such as nitrogen and perfluorocarbons have been exploited as ultrasound-mediated drug carriers. Here, we propose an innovative method for drug delivery using microbubbles generated from a chemical reaction. In a novel drug delivery system, luminol encapsulated in folate-conjugated bovine serum albumin nanoparticles (Fol-BSAN) can generate nitrogen gas (N2) by chemical reaction when it reacts with hydrogen peroxide (H2O2), one of reactive oxygen species (ROS). ROS plays an important role in the initiation and progression of cancer and elevated ROS have been observed in cancer cells both in vitro and in vivo. High-intensity focussed ultrasound (HIFU) is used to burst the N2 microbubbles, causing site-specific delivery of anticancer drugs such as methotrexate. In this research, the drug delivery system was optimised by using water-soluble luminol and Mobil Composition of Matter-41 (MCM-41), a mesoporous material, so that the delivery system was sensitive to micromolar concentrations of H2O2. HIFU increased the drug release from Fol-BSAN by 52.9 ± 2.9% in 10 minutes. The cytotoxicity of methotrexate was enhanced when methotrexate is delivered to MDA-MB-231, a metastatic human breast cancer cell line, using Fol-BSAN with HIFU. We anticipate numerous applications of chemically generated microbubbles for ultrasound-mediated drug delivery.