Non-Hodgkin lymphoma represents a diverse group of blood malignancies, of which follicular lymphoma (FL) is a common subtype. Previous genome-wide association studies (GWASs) have identified in the human leukocyte antigen (HLA) class II region multiple independent SNPs that are significantly associated with FL risk. To dissect these signals and determine whether coding variants in HLA genes are responsible for the associations, we conducted imputation, HLA typing, and sequencing in three independent populations for a total of 689 cases and 2,446 controls. We identified a hexa-allelic amino acid polymorphism at position 13 of the HLA-DR beta chain that showed the strongest association with FL within the major histocompatibility complex (MHC) region (multiallelic p = 2.3 × 10⁻¹⁵). Out of six possible amino acids that occurred at that position within the population, we classified two as high risk (Tyr and Phe), two as low risk (Ser and Arg), and two as moderate risk (His and Gly). There was a 4.2-fold difference in risk (95% confidence interval = 2.9-6.1) between subjects carrying two alleles encoding high-risk amino acids and those carrying two alleles encoding low-risk amino acids (p = 1.01 × 10⁻¹⁴). This coding variant might explain the complex SNP associations identified by GWASs and suggests a common HLA-DR antigen-driven mechanism for the pathogenesis of FL and rheumatoid arthritis.
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http://dx.doi.org/10.1016/j.ajhg.2013.05.020 | DOI Listing |
Chem Sci
January 2025
Discovery Chemistry, Merck & Co., Inc. Rahway New Jersey 07065 USA
This manuscript describes a strategy to readily access diverse aryl and homoaryl alanine-containing pharmaceutically relevant macrocyclic peptides. A two-step sequence involving the late-stage installation of the pyridinium functionality on macrocyclic peptides followed by reductive couplings was implemented. These transformations are amenable to microscale high-throughput experimentation (HTE) and enable rapid access to aryl alanine-containing macrocyclic peptides that would otherwise be inaccessible solid-phase peptide synthesis using commercially available amino acids.
View Article and Find Full Text PDFJ Mol Model
January 2025
National Institute of Technology Durgapur, Durgapur, India.
Context: Protein secondary structure prediction is essential for understanding protein function and characteristics and can also facilitate drug discovery. Traditional methods for experimentally determining protein structures are both time-consuming and costly. Computational biology offers a viable alternative by predicting protein structures from their sequences.
View Article and Find Full Text PDFJ Fluoresc
January 2025
College of Life Science, Northwest University, Xian, 710069, Shaanxi, China.
Lead (Pb) ions give an imminent danger since they have been known to cause persistent damage to humans, plants, and animals, even at low concentrations, and cysteine (Cys) elevated levels are critical indicators for many diseases. Therefore, their detection is critical in pharmaceutical and environmental samples. This study tailored an innovative fluorescence switch off-on assay to detect Pb and Cys based on the amplification of G-quadruplex (G-4) to N-methylmesoporphyrin IX (NMM).
View Article and Find Full Text PDFPhysiol Plant
January 2025
National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, India.
Plants defend against chewing herbivores by up-regulating jasmonic acid (JA) signaling, which activates downstream signaling cascades and produces numerous secondary metabolites that act as defense molecules against the herbivores. Although secondary metabolism always remains a focus of research, primary metabolism is also reported to be realigned upon herbivory. However, JA signaling-mediated modulation of primary metabolites and their metabolic pathways in plants are mostly unexplored.
View Article and Find Full Text PDFMol Biotechnol
January 2025
Innoplexus Consulting Services Pvt Ltd, Floor 7Th, Midas Tower, Rajiv Gandhi Infotech Park, Hinjawadi, Pune, Maharashtra, 411057, India.
Antibodies have specific binding capabilities and therapeutic potential for treating various diseases, including viral infections. The amino acid composition of the hypervariable complementarity determining regions (CDR) loops and the framework regions (FR) are the determining factors for the affinity and therapeutic efficacy of the antibodies. In this study selected and curated, 77 viral antigen-human antibody complexes from Protein data bank from the Thera-SAbdab database were analyzed.
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