Identification of polymorphisms in genes of the immune system in cynomolgus macaques

Genetic variation in the Mauritian cynomolgus macaque population reflects variation in the human population

The cynomolgus macaque is an important species for preclinical research, however the extent of genetic variation in this population and its similarity to the human population is not well understood. Exome sequencing was conducted for 101 cynomolgus macaques to characterize genetic variation. The variant distribution frequency was 7.81 variants per kilobase across the sequenced regions, with a total of 2,770,009 single nucleotide variants identified from 2,996,041 loci. A large portion (85.6%) had minor allele frequencies greater than 5%. Enriched pathways for genes with high genetic diversity (≥10 variants per kilobase) were those involving signaling peptides and immune response. Compared to human, the variant distribution frequency and nucleotide diversity in the macaque exome was approximately 4 times greater; however the ratio of non-synonymous to synonymous variants was similar (0.735 and 0.831, respectively). Understanding genetic variability in cynomolgus macaques will enable better interpretation and human translation of phenotypic variability in this species.

Characterization of Mauritian Cynomolgus Macaque FcγR Alleles Using Long-Read Sequencing

The FcγRs are immune cell surface proteins that bind IgG and facilitate cytokine production, phagocytosis, and Ab-dependent, cell-mediated cytotoxicity. FcγRs play a critical role in immunity; variation in these genes is implicated in autoimmunity and other diseases. Cynomolgus macaques are an excellent animal model for many human diseases, and Mauritian cynomolgus macaques (MCMs) are particularly useful because of their restricted genetic diversity. Previous studies of MCM immune gene diversity have focused on the MHC and killer cell Ig-like receptor. In this study, we characterize FcγR diversity in 48 MCMs using PacBio long-read sequencing to identify novel alleles of each of the four expressed MCM FcγR genes. We also developed a high-throughput FcγR genotyping assay, which we used to determine allele frequencies and identify FcγR haplotypes in more than 500 additional MCMs. We found three alleles for FcγR1A, seven each for FcγR2A and FcγR2B, and four for FcγR3A; these segregate into eight haplotypes. We also assessed whether different FcγR alleles confer different Ab-binding affinities by surface plasmon resonance and found minimal difference in binding affinities across alleles for a panel of wild type and Fc-engineered human IgG. This work suggests that although MCMs may not fully represent the diversity of FcγR responses in humans, they may offer highly reproducible results for mAb therapy and toxicity studies.

Principles of precision medicine and its application in toxicology

Precision medicine is an approach to developing drugs that focuses on employing biomarkers to stratify patients in clinical trials with the goal of improving efficacy and/or safety outcomes, ultimately increasing the odds of clinical success and drug approval. Precision medicine is an important tool for toxicologists to utilize, because its principles can be used to decide whether to pursue a drug target, to understand interindividual differences in response to drugs in both nonclinical and clinical settings, to aid in selecting doses that optimize efficacy or reduce adverse events, and to facilitate understanding of a drug's mode-of-action. Nonclinical models such as the mouse and non-human primate can be used to understand genetic variation and its potential translation to humans, and are available for toxicologists to employ in advance of drugs moving into clinical development. Understanding interindividual differences in response to drugs and how these differences can influence the drug's risk-benefit profile and lead to the identification of biomarkers that enhance patient efficacy and safety is of critical importance for toxicologists today, and in the future, as the fields of pharmacogenomics and genetics continue to advance.

Single nucleotide polymorphisms in the FcγR3A and TAP1 genes impact ADCC in cynomolgus monkey PBMCs

Phenotypic variability is often observed in cynomolgus monkeys on preclinical studies and may, in part, be driven by genetic variability. However, the role of monkey genetic variation remains largely unexplored in the context of drug response. This study evaluated genetic variation in cynomolgus monkey FcγR3A and TAP1 genes and the potential impact of identified polymorphisms on antibody-dependent cell-mediated cytotoxicity (ADCC) in vitro. Studies in humans have demonstrated that a single nucleotide polymorphism (SNP), F158V, in FcγR3A can influence response to rituximab through altered ADCC and that SNPs in TAP1/2 decrease natural killer (NK) cell activity against major histocompatibility complex (MHC) class I deficient cells, potentially through altered ADCC. Monkeys were genotyped for FcγR3A and TAP1 SNPs, and ADCC was assessed in vitro using peripheral blood mononuclear cells (PBMCs) treated with trastuzumab in the presence of NCI-N87 cells. FcγR3A g.1134A>C (exonic S42R), FcγR3A g.5027A>G (intronic), and TAP1 g.1A>G (start codon loss) SNPs were all significantly associated with decreased ADCC for at least one trastuzumab concentration ≥0.0001 μM when compared with wild type (WT). Regression analysis demonstrated significant association of the SNP-SNP pairs FcγR3A g.1134A>C/TAP1 g.1A>G and FcγR3A g.5027A>G/TAP1 g.1A>G with a combinatorial decrease on ADCC. Mechanisms underlying the decreased ADCC were investigated by measuring FcγR3A/IgG binding affinity and expression of FcγR3A and TAP1 in PBMCs; however, no functional associations were observed. These data demonstrate that genetic variation in cynomolgus monkeys is reflective of known human genetic variation and may potentially contribute to variable drug response in preclinical studies.

Monkey-based research on human disease: the implications of genetic differences

Assertions that the use of monkeys to investigate human diseases is valid scientifically are frequently based on a reported 90-93% genetic similarity between the species. Critical analyses of the relevance of monkey studies to human biology, however, indicate that this genetic similarity does not result in sufficient physiological similarity for monkeys to constitute good models for research, and that monkey data do not translate well to progress in clinical practice for humans. Salient examples include the failure of new drugs in clinical trials, the highly different infectivity and pathology of SIV/HIV, and poor extrapolation of research on Alzheimer's disease, Parkinson's disease and stroke. The major molecular differences underlying these inter-species phenotypic disparities have been revealed by comparative genomics and molecular biology - there are key differences in all aspects of gene expression and protein function, from chromosome and chromatin structure to post-translational modification. The collective effects of these differences are striking, extensive and widespread, and they show that the superficial similarity between human and monkey genetic sequences is of little benefit for biomedical research. The extrapolation of biomedical data from monkeys to humans is therefore highly unreliable, and the use of monkeys must be considered of questionable value, particularly given the breadth and potential of alternative methods of enquiry that are currently available to scientists.