PubMed HealthSearch

Biomedical subjects

James Robinson

Publications and source records attributed to James Robinson.

2 recordsLinked to original sources

HLA Diversity of Over 500,000 Individuals on the DATRI Register Across 18 Regions in India.

Registries of unrelated stem cell donors can use HLA haplotype frequencies to aid in registry management. DATRI is India's largest registry with over 550,000 donors, with donors in 35 of India's 36 states and union territories. A geographical based analysis on HLA haplotype frequencies has not previously been carried out with an Indian dataset of this size. To balance granularity and accuracy in estimating 5-locus haplotype frequencies for HLA-A, -C, -B, -DRB1 and -DQB1, we grouped donors into 18 regions with a minimum population size of 2000 donors. We identified the most frequent haplotype as A*33:03-ARD~C*07:01-ARD~B*44:03-ARD~DRB1*07:01-ARD~DQB1*02:01-ARD in Odisha (6.09%), which was also the most frequent haplotype in nine other regions. Assigning the most likely diplotypes to donors, there were a total of 57,959 haplotypes and just 202 (0.3%) of those were present in all 18 regions. HLA-B had the greatest number of alleles across the whole dataset (559) and HLA-DQB1 the least (167). However, HLA-C displayed the most inter-region diversity with only 6.7% of HLA-C alleles present in all regions (average 9.5%). We clustered the regions, using Nei's standard genetic distance, and these correlated with geography; however, three regions (North India, Kerala, and the Gujarat area) did not fit into any cluster. These regions each had one or more distinctive haplotypes that were very frequent (≥ 0.5%) in that region alone. Additionally, the Gujarat area had the lowest diversity metrics. These data can be used to inform the management of registries and contribute to our understanding of HLA diversity globally.

Humans

Proteomic Profiling of the Large-Vessel Vasculitis Spectrum Identifying Shared Signatures of Innate Immune Activation and Stromal Remodeling.

OBJECTIVE: Takayasu arteritis (TAK) and giant cell arteritis (GCA), the most common forms of large-vessel vasculitis (LVV), can result in serious morbidity. Understanding the molecular basis of LVV should aid in developing better biomarkers and treatments. METHODS: Plasma proteomic profiling of 184 proteins was performed in two cohorts. Cohort 1 included patients with established TAK (n = 96) and large-vessel GCA (LV-GCA) (n = 35) in addition to healthy control participants (HCs) (n = 35). Cohort 2 comprised patients presenting acutely with possible cranial GCA (C-GCA) in whom the diagnosis was subsequently confirmed (C-GCA, n = 150) or excluded (Not C-GCA, n = 89). Proteomic findings were compared to published transcriptomic data from LVV-affected arteries. RESULTS: In cohort 1, comparison to HCs revealed 52 differentially abundant proteins (DAPs) in TAK and 72 DAPs in LV-GCA. Within-case analyses identified 16 and 18 disease activity-associated proteins in TAK and LV-GCA, respectively. In cohort 2, comparing C-GCA versus not C-GCA revealed 31 DAPs. Analysis within C-GCA cases suggested the presence of distinct endotypes, with more pronounced proteomic changes in the biopsy-proven subgroup. Cross-comparison of TAK, LV-GCA, and biopsy-proven C-GCA revealed highly similar plasma proteomic profiles, with 26 shared DAPs including interleukin 6 (IL-6), monocyte/macrophage-related proteins (CCL7, CSF1), tissue remodeling proteins (TIMP1, TNC), and novel associations (TNFSF14, IL-7R). Plasma proteomic findings reflected LVV arterial phenotype; for 42% of DAPs, the corresponding gene was differentially expressed in tissue. CONCLUSION: These findings suggest shared pathobiology across the LVV spectrum involving innate immunity, lymphocyte homeostasis, and tissue remodeling. Network-based analyses highlighted immune-stromal cross-talk and identified novel therapeutic targets (eg, TNFSF14).

Humans