Selected Grantee Publications
TGF-β Blockade Drives a Transitional Effector Phenotype in T Cells Reversing SIV Latency and Decreasing SIV Reservoirs In Vivo
Kim et al., Nature Communications. 2024.
https://pubmed.ncbi.nlm.nih.gov/38355731/
Interruption of antiretroviral therapy leads to rapid rebound of viremia due to the establishment of a persistent viral reservoir early after infection. Using a treatment regimen similar to the one tested in clinical trials, the authors show how galunisertib affects immune cell function, increases simian immunodeficiency virus (SIV) reactivation, and reduces the viral reservoir in female rhesus macaques. Their findings reveal a galunisertib-driven shift toward an effector phenotype in T and natural killer cells. Taken together, this work demonstrates that galunisertib, a clinical-stage TGF-β inhibitor, reverses SIV latency and decreases SIV reservoirs by driving T cells toward an effector phenotype, enhancing immune responses in vivo in the absence of toxicity. Supported by ORIP (R24OD010947), NIAID, and NCI.
Intestinal Epithelial Adaptations to Vertical Sleeve Gastrectomy Defined at Single-Cell Resolution
Koch-Laskowski et al., Genomics. 2024.
https://pubmed.ncbi.nlm.nih.gov/38309446/
Perturbations in the intestinal epithelium have been linked to the pathogenesis of metabolic disease. Bariatric procedures, such as vertical sleeve gastrectomy (VSG), cause gut adaptations that induce robust metabolic improvements. Using a male mouse model, the authors assessed the effects of VSG on different cell lineages of the small intestinal epithelium. They show that Paneth cells display increased expression of the gut peptide Reg3g after VSG. Additionally, VSG restores pathways pertaining to mitochondrial respiration and cellular metabolism, especially within crypt-based cells. Overall, this work demonstrates how adaptations among specific cell types can affect gut epithelial homeostasis; these findings can help researchers develop targeted, less invasive treatment strategies for metabolic disease. Supported by ORIP (F30OD031914), NCI, and NIDDK.
Epigenetic MLH1 Silencing Concurs With Mismatch Repair Deficiency in Sporadic, Naturally Occurring Colorectal Cancer in Rhesus Macaques
Deycmar et al., Journal of Translational Medicine. 2024.
https://pubmed.ncbi.nlm.nih.gov/38504345
Rhesus macaques serve as a useful model for colorectal cancer (CRC) in humans, but more data are needed to understand the molecular pathogenesis of these cancers. Using male and female rhesus macaques, researchers investigated mismatch repair status, microsatellite instability, genetic mutations, transcriptional differences, and epigenetic alterations associated with CRC. Their data indicate that epigenetic silencing suppresses MLH1 transcription, induces the loss of MLH1 protein, abrogates mismatch repair, and drives genomic instability in naturally occurring CRC in rhesus macaques. This work provides a uniquely informative model for human CRC. Supported by ORIP (P51OD011092, R24OD010947, R24OD021324, P40OD012217, U42OD010426, T35OD010946, T32OD010957), NCATS, and NCI.
CDK4/6 Inhibition Sensitizes Intracranial Tumors to PD-1 Blockade in Preclinical Models of Brain Metastasis
Nayyer et al., Clinical Cancer Research. 2024.
Brain metastases are associated with high morbidity and are often resistant to immune checkpoint inhibitors. In this study, investigators evaluated the efficacy of combining CDKi (abemaciclib) and anti–PD-1 therapy (“combination therapy”) in mouse models for brain metastases, elucidated how combination therapy remodeled the tumor–immune microenvironment (TIME) and T-cell receptor (TCR) repertoires, and investigated the effects of CDKi on T-cell development and maintenance in NOD-scid Il2rgnull (NSG) mice engrafted with human immune systems (“humanized mice”). Results offer a strong rationale for the clinical evaluation of combination CDKi and PD-1 blockade in patients with brain metastases. Supported by ORIP (R24OD026440), NCI, and NIAID.
Validity of Xiphophorus Fish as Models for Human Disease
Schartl and Lu, Disease Models and Mechanisms. 2024.
https://pubmed.ncbi.nlm.nih.gov/38299666/
Xiphophorus is the one of the oldest animal systems for studying melanoma. In this article, the authors summarize current Xiphophorus models for other human diseases. They review how Xiphophorus fishes and their interspecies hybrids can be used for studying human diseases and highlight research opportunities enabled by these unique models (both established and emerging). They identified several emerging Xiphophorus models, including for albinism, micromelanophore pigmentation, fin regeneration, and diet-induced obesity. The research on cancer and reproductive maturation discussed in this review substantiates the value of Xiphophorus as a model for human disease throughout all three phases of validation—face, construct, and predictive—and continues to provide important scientific insights. Supported by ORIP (R24OD031467, R21OD031910) and NCI.
Targeting Pancreatic Cancer Metabolic Dependencies Through Glutamine Antagonism
Encarnación-Rosado et al., Nature Cancer. 2024.
https://pubmed.ncbi.nlm.nih.gov/37814010/
Pancreatic ductal adenocarcinoma (PDAC) cells thrive in the austere, complex tumor microenvironment by reprogramming their metabolism and relying on scavenging pathways, but more work is needed to translate this knowledge into clinically relevant therapeutic interventions. Investigators demonstrated that treating PDAC cells with a Gln antagonist, 6‑diazo-5-oxo-l-norleucine (DON), caused a metabolic crisis by globally impairing Gln metabolism, resulting in a significant decrease in proliferation. They observed a profound decrease in tumor growth in several in vivo models using sirpiglenastat (DRP-104), a pro-drug version of DON that was designed to circumvent DON-associated toxicity. These proof-of-concept studies suggested that broadly targeting Gln metabolism could provide a therapeutic avenue for PDAC. Combining this therapeutic with an extracellular-signal-regulated kinase (or ERK) signaling pathway inhibitor could further improve it. Supported by ORIP (S10OD021747), NCI, and NIAID.
Identification of Constrained Sequence Elements Across 239 Primate Genomes
Kuderna et al., Nature. 2024.
https://pubmed.ncbi.nlm.nih.gov/38030727/
Functional genomic elements that have acquired selective constraints specific to the primate order are prime candidates for understanding evolutionary changes in humans, but the selective constraints specific to the phylogenetic branch from which the human species ultimately emerged remain largely unidentified. Researchers constructed a genome-wide multiple sequence alignment of 239 primate species to better characterize constraint at noncoding regulatory sequences in the human genome. Their work reveals noncoding regulatory elements that are under selective constraint in primates but not in other placental mammals and are enriched for variants that affect human gene expression and complex traits in diseases. These findings highlight the important role of recent evolution in regulatory sequence elements differentiating primates, including humans, from other placental mammals. Supported by ORIP (P40OD024628), NHGRI, NIA, and NICHD.
GenomeMUSter Mouse Genetic Variation Service Enables Multitrait, Multipopulation Data Integration and Analysis
Ball et al., Genome Research. 2024.
https://genome.cshlp.org/content/34/1/145.long
Advances in genetics, including transcriptome-wide and phenome-wide association analysis methods, create compelling new opportunities for using fully reproducible and widely studied inbred mouse strains to characterize the polygenetic basis for individual differences in disease-related traits. Investigators developed an imputation approach and implemented data service to provide a broad and more comprehensive mouse variant resource. They evaluated the strain-specific imputation accuracy on a “held-out” test set that was not used in the imputation process. The authors present its application to multipopulation and multispecies analyses of complex trait variation in type 2 diabetes and substance use disorders and compare these results to human genetics studies. Supported by ORIP (U42OD010921, P40OD011102, R24OD035408), NCI, NIAAA, NIDA, and NIDCD.
Antibiotic-Induced Gut Dysbiosis Elicits Gut–Brain–Axis Relevant Multi-Omic Signatures and Behavioral and Neuroendocrine Changes in a Nonhuman Primate Model
Hayer et al., Gut Microbes. 2024.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10826635/
Gut microbiome–mammalian cell interactions influence the development of metabolic, immune-mediated, and neuropsychiatric disorders. Dysbiosis of the gut microbiome has been linked to behavioral characteristics in previous nonhuman primate (NHP) studies, but additional studies using NHPs are necessary to understand microbiota–gut–brain communication. The authors sought to evaluate whether antibiotic-induced gut dysbiosis can elicit changes in gut metabolites and behavior indicative of gut–brain axis disruption in common marmosets of both sexes. For the first time in an NHP model, this study demonstrated that antibiotics induce gut dysbiosis, alter gut metabolites relevant to gut–brain communication, affect neuroendocrine responses in response to stressful stimuli, and change social behavior. Supported by ORIP (K01OD030514), NCI, and NIGMS.
A Single-Cell Time-Lapse of Mouse Prenatal Development From Gastrula to Birth
Qiu et al., Nature. 2024.
https://pubmed.ncbi.nlm.nih.gov/38355799/
In this study, investigators combined single-cell transcriptome profiling of male and female mouse embryos and newborn pups with previously published data to construct a tree of cell-type relationships tracing development from zygote to birth. They applied optimized single-cell combinatorial indexing to profile the transcriptional states of 12.4 million nuclei from 83 embryos, precisely staged at 2- to 6-hour intervals spanning late gastrulation to birth; establish a global framework for exploring mammalian development; and construct a rooted tree of cell-type relationships, from zygote to birth. Their analysis allowed them to systematically nominate genes that encode transcription factors and other proteins as candidate drivers of the in vivo differentiation of hundreds of cell types. Extending this framework to postnatal time points could yield a single-cell time-lapse of the entire mammalian life span, from conception to death. Supported by ORIP (UM1OD023222) and NHGRI.