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Shannon T, Cotter C, Fitzgerald J, Houle S, Levine N, Shen Y, Rajjoub N, Dobres S, Iyer S, Xenakis J, Lynch R, de Villena FPM, Kokiko-Cochran O, Gu B. Genetic diversity drives extreme responses to traumatic brain injury and post-traumatic epilepsy. Exp Neurol 2024; 374:114677. [PMID: 38185315 DOI: 10.1016/j.expneurol.2024.114677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 11/21/2023] [Accepted: 01/02/2024] [Indexed: 01/09/2024]
Abstract
Traumatic brain injury (TBI) is a complex and heterogeneous condition that can cause wide-spectral neurological sequelae such as behavioral deficits, sleep abnormalities, and post-traumatic epilepsy (PTE). However, understanding the interaction of TBI phenome is challenging because few animal models can recapitulate the heterogeneity of TBI outcomes. We leveraged the genetically diverse recombinant inbred Collaborative Cross (CC) mice panel and systematically characterized TBI-related outcomes in males from 12 strains of CC and the reference C57BL/6J mice. We identified unprecedented extreme responses in multiple clinically relevant traits across CC strains, including weight change, mortality, locomotor activity, cognition, and sleep. Notably, we identified CC031 mouse strain as the first rodent model of PTE that exhibit frequent and progressive post-traumatic seizures after moderate TBI induced by lateral fluid percussion. Multivariate analysis pinpointed novel biological interactions and three principal components across TBI-related modalities. Estimate of the proportion of TBI phenotypic variability attributable to strain revealed large range of heritability, including >70% heritability of open arm entry time of elevated plus maze. Our work provides novel resources and models that can facilitate genetic mapping and the understanding of the pathobiology of TBI and PTE.
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Affiliation(s)
- Tyler Shannon
- Department of Neuroscience, Ohio State University, Columbus, USA
| | - Christopher Cotter
- Department of Neuroscience, Ohio State University, Columbus, USA; Institute for Behavioral Medicine Research, Neurological Institute, Ohio State University, Columbus, USA
| | - Julie Fitzgerald
- Department of Neuroscience, Ohio State University, Columbus, USA; Institute for Behavioral Medicine Research, Neurological Institute, Ohio State University, Columbus, USA
| | - Samuel Houle
- Department of Neuroscience, Ohio State University, Columbus, USA; Institute for Behavioral Medicine Research, Neurological Institute, Ohio State University, Columbus, USA
| | - Noah Levine
- Electrical and Computer Engineering Program, Ohio State University, Columbus, USA
| | - Yuyan Shen
- Department of Neuroscience, Ohio State University, Columbus, USA; College of Veterinary Medicine, Ohio State University, Columbus, USA
| | - Noora Rajjoub
- Department of Neuroscience, Ohio State University, Columbus, USA
| | - Shannon Dobres
- Department of Neuroscience, Ohio State University, Columbus, USA
| | - Sidharth Iyer
- Department of Neuroscience, Ohio State University, Columbus, USA
| | - James Xenakis
- Department of Genetics, University of North Carolina, Chapel Hill, USA
| | - Rachel Lynch
- Department of Genetics, University of North Carolina, Chapel Hill, USA
| | - Fernando Pardo-Manuel de Villena
- Department of Genetics, University of North Carolina, Chapel Hill, USA; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, USA
| | - Olga Kokiko-Cochran
- Department of Neuroscience, Ohio State University, Columbus, USA; Institute for Behavioral Medicine Research, Neurological Institute, Ohio State University, Columbus, USA; Chronic Brain Injury Program, Ohio State University, Columbus, USA
| | - Bin Gu
- Department of Neuroscience, Ohio State University, Columbus, USA; Chronic Brain Injury Program, Ohio State University, Columbus, USA.
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Carpena MX, Barros AJ, Comelli EM, López-Domínguez L, Alves ED, Wendt A, Crochemore-Silva I, Bandsma RH, Santos IS, Matijasevich A, Borges MC, Tovo-Rodrigues L. Accelerometer-based sleep metrics and gut microbiota during adolescence: Association findings from a Brazilian population-based birth cohort. Sleep Med 2024; 114:203-209. [PMID: 38219656 DOI: 10.1016/j.sleep.2023.12.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 12/27/2023] [Accepted: 12/29/2023] [Indexed: 01/16/2024]
Abstract
BACKGROUND Sleep and gut microbiota are emerging putative risk factors for several physical, mental, and cognitive conditions. Sleep deprivation has been shown to be linked with unhealthy microbiome environments in animal studies. However, in humans, the results are mixed. Epidemiological studies evaluating the effect of accelerometer-based sleep measures on gut microbiome are scarce. This study aims to explore the relationship between sleep duration and efficiency with the gut microbiota in adolescence. METHODS A subsample of 352 participants from the 2004 Pelotas (Brazil) Birth Cohort Study with sleep and fecal microbiota data available were included in the study. Sleep duration and sleep efficiency were obtained from actigraphy information at 11 years old whereas microbiota information from fecal samples was collected at 12 years. The fecal microbiota was analyzed via Illumina MiSeq (16S rRNA V3-V4 region) and the UNOISE pipeline. Alpha was assessed in QIIME2. Association measures for sleep variables and microbial α-diversity, and bacterial relative abundance were assessed through generalized models (linear and logistic regression), adjusting for maternal and child variables confounders. RESULTS Adjusted models showed that sleep duration was positively associated with Simpson index of α-diversity (β = 0.003; CI95 %: 0.00004; 0.01). Both sleep duration (OR = 0.43; CI95 % 0.25; 0.74) and efficiency (OR = 0.55; CI95 % 0.38; 0.78) were associated with lower Bacteroidetes abundance. CONCLUSION Our results suggest that sleep duration and efficiency are linked to gut microbiota diversity and composition even with 1-2 years gap from exposure to outcome. The findings support the role of sleep in the gut-brain axis as well as provide insights on how to improve microbiota health.
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Affiliation(s)
| | - Aluisio Jd Barros
- Postgraduate Program in Epidemiology, Federal University of Pelotas, RS, Brazil.
| | - Elena M Comelli
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, ON, Canada; Joannah and Brian Lawson Centre for Child Nutrition, Faculty of Medicine, University of Toronto, ON, Canada.
| | - Lorena López-Domínguez
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, ON, Canada; Translational Medicine Program, Hospital for Sick Children, Toronto, ON, Canada
| | - Etiene Dias Alves
- Postgraduate Program in Epidemiology, Federal University of Pelotas, RS, Brazil.
| | - Andrea Wendt
- Programa de Pós-Graduação Em Tecnologia Em Saúde, Pontifícia Universidade Católica Do Paraná, Curitiba, Brazil.
| | - Inacio Crochemore-Silva
- Postgraduate Program in Epidemiology, Federal University of Pelotas, RS, Brazil; Postgraduate Program in Physical Education, Federal University of Pelotas, RS, Brazil.
| | - Robert Hj Bandsma
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, ON, Canada; Translational Medicine Program, Hospital for Sick Children, Toronto, ON, Canada.
| | - Ina S Santos
- Postgraduate Program in Epidemiology, Federal University of Pelotas, RS, Brazil.
| | - Alicia Matijasevich
- Departamento de Medicina Preventiva, Faculdade de Medicina, Universidade de São Paulo, SP, Brazil.
| | - Maria Carolina Borges
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
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Krayem I, Sohrabi Y, Havelková H, Gusareva ES, Strnad H, Čepičková M, Volkova V, Kurey I, Vojtíšková J, Svobodová M, Demant P, Lipoldová M. Functionally distinct regions of the locus Leishmania major response 15 control IgE or IFNγ level in addition to skin lesions. Front Immunol 2023; 14:1145269. [PMID: 37600780 PMCID: PMC10437074 DOI: 10.3389/fimmu.2023.1145269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 05/02/2023] [Indexed: 08/22/2023] Open
Abstract
Leishmaniasis, a disease caused by parasites of Leishmania spp., endangers more than 1 billion people living in endemic countries and has three clinical forms: cutaneous, mucocutaneous, and visceral. Understanding of individual differences in susceptibility to infection and heterogeneity of its pathology is largely lacking. Different mouse strains show a broad and heterogeneous range of disease manifestations such as skin lesions, splenomegaly, hepatomegaly, and increased serum levels of immunoglobulin E and several cytokines. Genome-wide mapping of these strain differences detected more than 30 quantitative trait loci (QTLs) that control the response to Leishmania major. Some control different combinations of disease manifestations, but the nature of this heterogeneity is not yet clear. In this study, we analyzed the L. major response locus Lmr15 originally mapped in the strain CcS-9 which carries 12.5% of the genome of the resistant strain STS on the genetic background of the susceptible strain BALB/c. For this analysis, we used the advanced intercross line K3FV between the strains BALB/c and STS. We confirmed the previously detected loci Lmr15, Lmr18, Lmr24, and Lmr27 and performed genetic dissection of the effects of Lmr15 on chromosome 11. We prepared the interval-specific recombinant strains 6232HS1 and 6229FUD, carrying two STS-derived segments comprising the peak linkage of Lmr15 whose lengths were 6.32 and 17.4 Mbp, respectively, and analyzed their response to L. major infection. These experiments revealed at least two linked but functionally distinct chromosomal regions controlling IFNγ response and IgE response, respectively, in addition to the control of skin lesions. Bioinformatics and expression analysis identified the potential candidate gene Top3a. This finding further clarifies the genetic organization of factors relevant to understanding the differences in the individual risk of disease.
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Affiliation(s)
- Imtissal Krayem
- Laboratory of Molecular and Cellular Immunology, Institute of Molecular Genetics, Czech Academy of Sciences, Prague, Czechia
| | - Yahya Sohrabi
- Laboratory of Molecular and Cellular Immunology, Institute of Molecular Genetics, Czech Academy of Sciences, Prague, Czechia
- Department of Medical Genetics, Third Faculty of Medicine, Charles University, Prague, Czechia
- Department of Cardiology I-Coronary and Peripheral Vascular Disease, Heart Failure, University Hospital Münster, Westfälische Wilhelms-Universität, Münster, Germany
| | - Helena Havelková
- Laboratory of Molecular and Cellular Immunology, Institute of Molecular Genetics, Czech Academy of Sciences, Prague, Czechia
| | - Elena S. Gusareva
- Laboratory of Molecular and Cellular Immunology, Institute of Molecular Genetics, Czech Academy of Sciences, Prague, Czechia
| | - Hynek Strnad
- Department of Genomics and Bioinformatics, Institute of Molecular Genetics of The Czech Academy of Sciences, Prague, Czechia
| | - Marie Čepičková
- Laboratory of Molecular and Cellular Immunology, Institute of Molecular Genetics, Czech Academy of Sciences, Prague, Czechia
| | - Valeryia Volkova
- Laboratory of Molecular and Cellular Immunology, Institute of Molecular Genetics, Czech Academy of Sciences, Prague, Czechia
| | - Iryna Kurey
- Laboratory of Molecular and Cellular Immunology, Institute of Molecular Genetics, Czech Academy of Sciences, Prague, Czechia
| | - Jarmila Vojtíšková
- Laboratory of Molecular and Cellular Immunology, Institute of Molecular Genetics, Czech Academy of Sciences, Prague, Czechia
| | - Milena Svobodová
- Department of Parasitology, Faculty of Science, Charles University, Prague, Czechia
| | - Peter Demant
- Department of Molecular and Cellular Biology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Marie Lipoldová
- Laboratory of Molecular and Cellular Immunology, Institute of Molecular Genetics, Czech Academy of Sciences, Prague, Czechia
- Department of Medical Genetics, Third Faculty of Medicine, Charles University, Prague, Czechia
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4
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Nagarajan A, Scoggin K, Gupta J, Threadgill DW, Andrews-Polymenis HL. Using the collaborative cross to identify the role of host genetics in defining the murine gut microbiome. MICROBIOME 2023; 11:149. [PMID: 37420306 PMCID: PMC10329326 DOI: 10.1186/s40168-023-01552-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 04/18/2023] [Indexed: 07/09/2023]
Abstract
BACKGROUND The human gut microbiota is a complex community comprised of trillions of bacteria and is critical for the digestion and absorption of nutrients. Bacterial communities of the intestinal microbiota influence the development of several conditions and diseases. We studied the effect of host genetics on gut microbial composition using Collaborative Cross (CC) mice. CC mice are a panel of mice that are genetically diverse across strains, but genetically identical within a given strain allowing repetition and deeper analysis than is possible with other collections of genetically diverse mice. RESULTS 16S rRNA from the feces of 167 mice from 28 different CC strains was sequenced and analyzed using the Qiime2 pipeline. We observed a large variance in the bacterial composition across CC strains starting at the phylum level. Using bacterial composition data, we identified 17 significant Quantitative Trait Loci (QTL) linked to 14 genera on 9 different mouse chromosomes. Genes within these intervals were analyzed for significant association with pathways and the previously known human GWAS database using Enrichr analysis and Genecards database. Multiple host genes involved in obesity, glucose homeostasis, immunity, neurological diseases, and many other protein-coding genes located in these regions may play roles in determining the composition of the gut microbiota. A subset of these CC mice was infected with Salmonella Typhimurium. Using infection outcome data, an increase in abundance of genus Lachnospiraceae and decrease in genus Parasutterella correlated with positive health outcomes after infection. Machine learning classifiers accurately predicted the CC strain and the infection outcome using pre-infection bacterial composition data from the feces. CONCLUSION Our study supports the hypothesis that multiple host genes influence the gut microbiome composition and homeostasis, and that certain organisms may influence health outcomes after S. Typhimurium infection. Video Abstract.
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Affiliation(s)
- Aravindh Nagarajan
- Interdisciplinary Program in Genetics, Texas A&M University, College Station, TX USA
- Department of Microbial Pathogenesis and Immunology, Texas A&M University, College Station, TX USA
| | - Kristin Scoggin
- Interdisciplinary Program in Genetics, Texas A&M University, College Station, TX USA
- Department of Microbial Pathogenesis and Immunology, Texas A&M University, College Station, TX USA
- Department of Molecular and Cellular Medicine, Texas A&M University, College Station, TX USA
| | - Jyotsana Gupta
- Department of Microbial Pathogenesis and Immunology, Texas A&M University, College Station, TX USA
| | - David W. Threadgill
- Interdisciplinary Program in Genetics, Texas A&M University, College Station, TX USA
- Department of Molecular and Cellular Medicine, Texas A&M University, College Station, TX USA
- Texas A&M Institute for Genome Sciences and Society, Texas A&M University, College Station, TX USA
- Department of Biochemistry & Biophysics and Department of Nutrition, Texas A&M University, College Station, TX USA
| | - Helene L. Andrews-Polymenis
- Interdisciplinary Program in Genetics, Texas A&M University, College Station, TX USA
- Department of Microbial Pathogenesis and Immunology, Texas A&M University, College Station, TX USA
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5
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Tran TDB, Monroy Hernandez C, Nguyen H, Wright S, Tarantino LM, Chesler EJ, Weinstock GM, Zhou Y, Bubier JA. The microbial community dynamics of cocaine sensitization in two behaviorally divergent strains of collaborative cross mice. GENES, BRAIN, AND BEHAVIOR 2023; 22:e12845. [PMID: 37114320 PMCID: PMC10242200 DOI: 10.1111/gbb.12845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 02/08/2023] [Accepted: 02/27/2023] [Indexed: 04/29/2023]
Abstract
The gut-brain axis is increasingly recognized as an important pathway involved in cocaine use disorder. Microbial products of the murine gut have been shown to affect striatal gene expression, and depletion of the microbiome by antibiotic treatment alters cocaine-induced behavioral sensitization in C57BL/6J male mice. Some reports suggest that cocaine-induced behavioral sensitization is correlated with drug self-administration behavior in mice. Here, we profile the composition of the naïve microbiome and its response to cocaine sensitization in two collaborative cross (CC) strains. These strains display extremely divergent behavioral responses to cocaine sensitization. A high-responding strain, CC004/TauUncJ (CC04), has a gut microbiome that contains a greater amount of Lactobacillus than the cocaine-nonresponsive strain CC041/TauUncJ (CC41). The gut microbiome of CC41 is characterized by an abundance of Eisenbergella, Robinsonella and Ruminococcus. In response to cocaine, CC04 has an increased Barnsiella population, while the gut microbiome of CC41 displays no significant changes. PICRUSt functional analysis of the functional potential of the gut microbiome in CC04 shows a significant number of potential gut-brain modules altered after exposure to cocaine, specifically those encoding for tryptophan synthesis, glutamine metabolism, and menaquinone synthesis (vitamin K2). Depletion of the microbiome by antibiotic treatment revealed an altered cocaine-sensitization response following antibiotics in female CC04 mice. Depleting the microbiome by antibiotic treatment in males revealed increased infusions for CC04 during a cocaine intravenous self-administration dose-response curve. Together these data suggest that genetic differences in cocaine-related behaviors may involve the microbiome.
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Affiliation(s)
| | | | - Hoan Nguyen
- The Jackson Laboratory for Genomic MedicineFarmingtonConnecticutUSA
| | - Susan Wright
- National Institute of Drug AbuseRockvilleMarylandUSA
| | | | - Lisa M. Tarantino
- Department of Genetics, School of MedicineUniversity of North CarolinaChapel HillNorth CarolinaUSA
| | | | | | - Yanjiao Zhou
- School of MedicineUniversity of Connecticut Health CenterFarmingtonConnecticutUSA
| | - Jason A. Bubier
- The Jackson Laboratory for Mammalian GeneticsBar HarborMaineUSA
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6
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Binh Tran TD, Nguyen H, Sodergren E, Addiction CFSNO, Dickson PE, Wright SN, Philip VM, Weinstock GM, Chesler EJ, Zhou Y, Bubier JA. Microbial glutamate metabolism predicts intravenous cocaine self-administration in diversity outbred mice. Neuropharmacology 2023; 226:109409. [PMID: 36592885 PMCID: PMC9943525 DOI: 10.1016/j.neuropharm.2022.109409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Revised: 12/23/2022] [Accepted: 12/27/2022] [Indexed: 01/01/2023]
Abstract
The gut microbiome is thought to play a critical role in the onset and development of psychiatric disorders, including depression and substance use disorder (SUD). To test the hypothesis that the microbiome affects addiction predisposing behaviors and cocaine intravenous self-administration (IVSA) and to identify specific microbes involved in the relationship, we performed 16S rRNA gene sequencing on feces from 228 diversity outbred mice. Twelve open field measures, two light-dark assay measures, one hole board and novelty place preference measure significantly differed between mice that acquired cocaine IVSA (ACQ) and those that failed to acquire IVSA (FACQ). We found that ACQ mice are more active and exploratory and display decreased fear than FACQ mice. The microbial abundances that differentiated ACQ from FACQ mice were an increased abundance of Barnesiella, Ruminococcus, and Robinsoniella and decreased Clostridium IV in ACQ mice. There was a sex-specific correlation between ACQ and microbial abundance, a reduced Lactobacillus abundance in ACQ male mice, and a decreased Blautia abundance in female ACQ mice. The abundance of Robinsoniella was correlated, and Clostridium IV inversely correlated with the number of doses of cocaine self-administered during acquisition. Functional analysis of the microbiome composition of a subset of mice suggested that gut-brain modules encoding glutamate metabolism genes are associated with the propensity to self-administer cocaine. These findings establish associations between the microbiome composition and glutamate metabolic potential and the ability to acquire cocaine IVSA thus indicating the potential translational impact of targeting the gut microbiome or microbial metabolites for treatment of SUD. This article is part of the Special Issue on "Microbiome & the Brain: Mechanisms & Maladies".
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Affiliation(s)
- Thi Dong Binh Tran
- The Jackson Laboratory Genomic Medicine, 10 Discovery Way, Farmington, CT, USA
| | - Hoan Nguyen
- The Jackson Laboratory Genomic Medicine, 10 Discovery Way, Farmington, CT, USA
| | - Erica Sodergren
- The Jackson Laboratory Genomic Medicine, 10 Discovery Way, Farmington, CT, USA
| | | | - Price E Dickson
- Department of Biomedical Sciences, Joan C. Edwards School of Medicine Marshall University, Huntington, WV, USA
| | - Susan N Wright
- Division of Neuroscience and Behavior, National Institute on Drug Abuse, National Institutes of Health, Three White Flint North, Room 08C08 MSC 6018, Bethesda, MD, 20892, USA
| | - Vivek M Philip
- The Jackson Laboratory Mammalian Genetics, 600 Main St, Bar Harbor, ME, USA
| | - George M Weinstock
- The Jackson Laboratory Genomic Medicine, 10 Discovery Way, Farmington, CT, USA
| | - Elissa J Chesler
- The Jackson Laboratory Mammalian Genetics, 600 Main St, Bar Harbor, ME, USA
| | - Yanjiao Zhou
- Department of Medicine, University of Connecticut Health Center, 263 Farmington Avenue, Farmington, CT, USA
| | - Jason A Bubier
- The Jackson Laboratory Mammalian Genetics, 600 Main St, Bar Harbor, ME, USA.
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7
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Tovar A, Crouse WL, Smith GJ, Thomas JM, Keith BP, McFadden KM, Moran TP, Furey TS, Kelada SNP. Integrative analysis reveals mouse strain-dependent responses to acute ozone exposure associated with airway macrophage transcriptional activity. Am J Physiol Lung Cell Mol Physiol 2022; 322:L33-L49. [PMID: 34755540 PMCID: PMC8721896 DOI: 10.1152/ajplung.00237.2021] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 11/03/2021] [Accepted: 11/04/2021] [Indexed: 01/03/2023] Open
Abstract
Acute ozone (O3) exposure is associated with multiple adverse cardiorespiratory outcomes, the severity of which varies across individuals in human populations and inbred mouse strains. However, molecular determinants of response, including susceptibility biomarkers that distinguish who will develop severe injury and inflammation, are not well characterized. We and others have demonstrated that airway macrophages (AMs) are an important resident immune cell type that are functionally and transcriptionally responsive to O3 inhalation. Here, we sought to explore influences of strain, exposure, and strain-by-O3 exposure interactions on AM gene expression and identify transcriptional correlates of O3-induced inflammation and injury across six mouse strains, including five Collaborative Cross (CC) strains. We exposed adult mice of both sexes to filtered air (FA) or 2 ppm O3 for 3 h and measured inflammatory and injury parameters 21 h later. Mice exposed to O3 developed airway neutrophilia and lung injury with strain-dependent severity. In AMs, we identified a common core O3 transcriptional response signature across all strains, as well as a set of genes exhibiting strain-by-O3 exposure interactions. In particular, a prominent gene expression contrast emerged between a low- (CC017/Unc) and high-responding (CC003/Unc) strain, as reflected by cellular inflammation and injury. Further inspection indicated that differences in their baseline gene expression and chromatin accessibility profiles likely contribute to their divergent post-O3 exposure transcriptional responses. Together, these results suggest that aspects of O3-induced respiratory responses are mediated through altered AM transcriptional signatures and further confirm the importance of gene-environment interactions in mediating differential responsiveness to environmental agents.
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Affiliation(s)
- Adelaide Tovar
- Department of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Curriculum in Genetics & Molecular Biology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Wesley L Crouse
- Department of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Curriculum in Bioinformatics & Computational Biology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Gregory J Smith
- Department of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Curriculum in Toxicology & Environmental Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Joseph M Thomas
- Department of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Benjamin P Keith
- Department of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Curriculum in Bioinformatics & Computational Biology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Kathryn M McFadden
- Department of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Timothy P Moran
- Department of Pediatrics, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Center for Environmental Medicine, Asthma, and Lung Biology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Terrence S Furey
- Department of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Curriculum in Genetics & Molecular Biology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Curriculum in Bioinformatics & Computational Biology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Department of Biology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Samir N P Kelada
- Department of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Curriculum in Genetics & Molecular Biology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Curriculum in Bioinformatics & Computational Biology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Curriculum in Toxicology & Environmental Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Center for Environmental Medicine, Asthma, and Lung Biology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
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8
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Bubier JA, Chesler EJ, Weinstock GM. Host genetic control of gut microbiome composition. Mamm Genome 2021; 32:263-281. [PMID: 34159422 PMCID: PMC8295090 DOI: 10.1007/s00335-021-09884-2] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 04/07/2021] [Indexed: 02/07/2023]
Abstract
The gut microbiome plays a significant role in health and disease, and there is mounting evidence indicating that the microbial composition is regulated in part by host genetics. Heritability estimates for microbial abundance in mice and humans range from (0.05-0.45), indicating that 5-45% of inter-individual variation can be explained by genetics. Through twin studies, genetic association studies, systems genetics, and genome-wide association studies (GWAS), hundreds of specific host genetic loci have been shown to associate with the abundance of discrete gut microbes. Using genetically engineered knock-out mice, at least 30 specific genes have now been validated as having specific effects on the microbiome. The relationships among of host genetics, microbiome composition, and abundance, and disease is now beginning to be unraveled through experiments designed to test causality. The genetic control of disease and its relationship to the microbiome can manifest in multiple ways. First, a genetic variant may directly cause the disease phenotype, resulting in an altered microbiome as a consequence of the disease phenotype. Second, a genetic variant may alter gene expression in the host, which in turn alters the microbiome, producing the disease phenotype. Finally, the genetic variant may alter the microbiome directly, which can result in the disease phenotype. In order to understand the processes that underlie the onset and progression of certain diseases, future research must take into account the relationship among host genetics, microbiome, and disease phenotype, and the resources needed to study these relationships.
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Affiliation(s)
- Jason A Bubier
- The Jackson Laboratory for Mammalian Genetics, 600 Main Street, Bar Harbor, ME, 04609, USA.
| | - Elissa J Chesler
- The Jackson Laboratory for Mammalian Genetics, 600 Main Street, Bar Harbor, ME, 04609, USA
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9
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Yao C, Wang Z, Jiang H, Yan R, Huang Q, Wang Y, Xie H, Zou Y, Yu Y, Lv L. Ganoderma lucidum promotes sleep through a gut microbiota-dependent and serotonin-involved pathway in mice. Sci Rep 2021; 11:13660. [PMID: 34211003 PMCID: PMC8249598 DOI: 10.1038/s41598-021-92913-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Accepted: 06/11/2021] [Indexed: 12/30/2022] Open
Abstract
Ganoderma lucidum is a medicinal mushroom used in traditional Chinese medicine with putative tranquilizing effects. However, the component of G. lucidum that promotes sleep has not been clearly identified. Here, the effect and mechanism of the acidic part of the alcohol extract of G. lucidum mycelia (GLAA) on sleep were studied in mice. Administration of 25, 50 and 100 mg/kg GLAA for 28 days promoted sleep in pentobarbital-treated mice by shortening sleep latency and prolonging sleeping time. GLAA administration increased the levels of the sleep-promoting neurotransmitter 5-hydroxytryptamine and the Tph2, Iptr3 and Gng13 transcripts in the sleep-regulating serotonergic synapse pathway in the hypothalamus during this process. Moreover, GLAA administration reduced lipopolysaccharide and raised peptidoglycan levels in serum. GLAA-enriched gut bacteria and metabolites, including Bifidobacterium, Bifidobacterium animalis, indole-3-carboxylic acid and acetylphosphate were negatively correlated with sleep latency and positively correlated with sleeping time and the hypothalamus 5-hydroxytryptamine concentration. Both the GLAA sleep promotion effect and the altered faecal metabolites correlated with sleep behaviours disappeared after gut microbiota depletion with antibiotics. Our results showed that GLAA promotes sleep through a gut microbiota-dependent and serotonin-associated pathway in mice.
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Affiliation(s)
- Chunyan Yao
- Key Laboratory of Nutrition of Zhejiang Province, Institute of Health Food, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Zhiyuan Wang
- Animal Center, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Huiyong Jiang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Ren Yan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Qianfei Huang
- Key Laboratory of Nutrition of Zhejiang Province, Institute of Health Food, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Yin Wang
- Key Laboratory of Nutrition of Zhejiang Province, Institute of Health Food, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Hui Xie
- Animal Center, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Ying Zou
- The Second Affiliated Hospital of Zhejiang, Chinese Medical University, Hangzhou, Zhejiang, China
| | - Ying Yu
- Key Laboratory of Nutrition of Zhejiang Province, Institute of Health Food, Hangzhou Medical College, Hangzhou, Zhejiang, China.
| | - Longxian Lv
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
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10
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Gutierrez Lopez DE, Lashinger LM, Weinstock GM, Bray MS. Circadian rhythms and the gut microbiome synchronize the host's metabolic response to diet. Cell Metab 2021; 33:873-887. [PMID: 33789092 DOI: 10.1016/j.cmet.2021.03.015] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 01/22/2021] [Accepted: 03/15/2021] [Indexed: 12/14/2022]
Abstract
The molecular circadian clock and symbiotic host-microbe relationships both evolved as mechanisms that enhance metabolic responses to environmental challenges. The gut microbiome benefits the host by breaking down diet-derived nutrients indigestible by the host and generating microbiota-derived metabolites that support host metabolism. Similarly, cellular circadian clocks optimize organismal physiology to the environment by influencing the timing and coordination of metabolic processes. Host-microbe interactions are influenced by dietary quality and timing, as well as daily light/dark cycles that entrain circadian rhythms in the host. Together, the gut microbiome and the molecular circadian clock play a coordinated role in neural processing, metabolism, adipogenesis, inflammation, and disease initiation and progression. This review examines the bidirectional interactions between the circadian clock, gut microbiota, and host metabolic systems and their effects on obesity and energy homeostasis. Directions for future research and the development of therapies that leverage these systems to address metabolic disease are highlighted.
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Affiliation(s)
- Diana E Gutierrez Lopez
- Department of Nutritional Sciences, The University of Texas at Austin, Austin, TX 78712, USA
| | - Laura M Lashinger
- Department of Nutritional Sciences, The University of Texas at Austin, Austin, TX 78712, USA
| | - George M Weinstock
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA; Department of Genetics and Genome Sciences, University of Connecticut School of Medicine, Storrs, CT 06032, USA
| | - Molly S Bray
- Department of Nutritional Sciences, The University of Texas at Austin, Austin, TX 78712, USA.
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11
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Trostchansky A, Wood I, Rubbo H. Regulation of arachidonic acid oxidation and metabolism by lipid electrophiles. Prostaglandins Other Lipid Mediat 2021; 152:106482. [PMID: 33007446 DOI: 10.1016/j.prostaglandins.2020.106482] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 09/22/2020] [Accepted: 09/24/2020] [Indexed: 01/08/2023]
Abstract
Arachidonic acid (AA) is a precursor of enzymatic and non-enzymatic oxidized products such as prostaglandins, thromboxanes, leukotrienes, lipoxins, and isoprostanes. These products may exert signaling or damaging roles during physiological and pathological conditions, some of them being markers of oxidative stress linked to inflammation. Recent data support the concept that cyclooxygenases (COX), lipoxygenases (LOX), and cytochrome P450 (CYP450) followed by cytosolic and microsomal dehydrogenases can convert AA to lipid-derived electrophiles (LDE). Lipid-derived electrophiles are fatty acid derivatives bearing an electron-withdrawing group that can react with nucleophiles at proteins, DNA, and small antioxidant molecules exerting potent signaling properties. This review aims to describe the formation, sources, and electrophilic anti-inflammatory actions of key mammalian LDE.
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Affiliation(s)
- Andrés Trostchansky
- Departamento de Bioquímica and Center for Free Radical and Biomedical Research, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay.
| | - Irene Wood
- Departamento de Bioquímica and Center for Free Radical and Biomedical Research, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay
| | - Homero Rubbo
- Departamento de Bioquímica and Center for Free Radical and Biomedical Research, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay
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12
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Montgomery TL, Künstner A, Kennedy JJ, Fang Q, Asarian L, Culp-Hill R, D'Alessandro A, Teuscher C, Busch H, Krementsov DN. Interactions between host genetics and gut microbiota determine susceptibility to CNS autoimmunity. Proc Natl Acad Sci U S A 2020; 117:27516-27527. [PMID: 33077601 PMCID: PMC7959502 DOI: 10.1073/pnas.2002817117] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Multiple sclerosis (MS) is an autoimmune disease of the central nervous system. The etiology of MS is multifactorial, with disease risk determined by genetics and environmental factors. An emerging risk factor for immune-mediated diseases is an imbalance in the gut microbiome. However, the identity of gut microbes associated with disease risk, their mechanisms of action, and the interactions with host genetics remain obscure. To address these questions, we utilized the principal autoimmune model of MS, experimental autoimmune encephalomyelitis (EAE), together with a genetically diverse mouse model representing 29 unique host genotypes, interrogated by microbiome sequencing and targeted microbiome manipulation. We identified specific gut bacteria and their metabolic functions associated with EAE susceptibility, implicating short-chain fatty acid metabolism as a key element conserved across multiple host genotypes. In parallel, we used a reductionist approach focused on two of the most disparate phenotypes identified in our screen. Manipulation of the gut microbiome by transplantation and cohousing demonstrated that transfer of these microbiomes into genetically identical hosts was sufficient to modulate EAE susceptibility and systemic metabolite profiles. Parallel bioinformatic approaches identified Lactobacillus reuteri as a commensal species unexpectedly associated with exacerbation of EAE in a genetically susceptible host, which was functionally confirmed by bacterial isolation and commensal colonization studies. These results reveal complex interactions between host genetics and gut microbiota modulating susceptibility to CNS autoimmunity, providing insights into microbiome-directed strategies aimed at lowering the risk for autoimmune disease and underscoring the need to consider host genetics and baseline gut microbiome composition.
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Affiliation(s)
- Theresa L Montgomery
- Department of Biomedical and Health Sciences, University of Vermont, Burlington, VT 05401
| | - Axel Künstner
- Medical Systems Biology Group, Lübeck Institute of Experimental Dermatology, University of Lübeck, 23562 Lübeck, Germany
- Institute for Cardiogenetics, University of Lübeck, 23562 Lübeck, Germany
| | - Josephine J Kennedy
- Department of Biomedical and Health Sciences, University of Vermont, Burlington, VT 05401
| | - Qian Fang
- Department of Medicine, Immunobiology Division, University of Vermont, Burlington, VT 05401
| | - Lori Asarian
- Department of Medicine, Immunobiology Division, University of Vermont, Burlington, VT 05401
| | - Rachel Culp-Hill
- Department of Biochemistry and Molecular Genetics, University of Colorado, Aurora, CO 80045
| | - Angelo D'Alessandro
- Department of Biochemistry and Molecular Genetics, University of Colorado, Aurora, CO 80045
| | - Cory Teuscher
- Department of Medicine, Immunobiology Division, University of Vermont, Burlington, VT 05401
| | - Hauke Busch
- Medical Systems Biology Group, Lübeck Institute of Experimental Dermatology, University of Lübeck, 23562 Lübeck, Germany
- Institute for Cardiogenetics, University of Lübeck, 23562 Lübeck, Germany
| | - Dimitry N Krementsov
- Department of Biomedical and Health Sciences, University of Vermont, Burlington, VT 05401;
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13
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Bubier JA, He H, Philip VM, Roy T, Hernandez CM, Bernat R, Donohue KD, O'Hara BF, Chesler EJ. Genetic variation regulates opioid-induced respiratory depression in mice. Sci Rep 2020; 10:14970. [PMID: 32917924 PMCID: PMC7486296 DOI: 10.1038/s41598-020-71804-2] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 08/11/2020] [Indexed: 12/14/2022] Open
Abstract
In the U.S., opioid prescription for treatment of pain nearly quadrupled from 1999 to 2014. The diversion and misuse of prescription opioids along with increased use of drugs like heroin and fentanyl, has led to an epidemic in addiction and overdose deaths. The most common cause of opioid overdose and death is opioid-induced respiratory depression (OIRD), a life-threatening depression in respiratory rate thought to be caused by stimulation of opioid receptors in the inspiratory-generating regions of the brain. Studies in mice have revealed that variation in opiate lethality is associated with strain differences, suggesting that sensitivity to OIRD is genetically determined. We first tested the hypothesis that genetic variation in inbred strains of mice influences the innate variability in opioid-induced responses in respiratory depression, recovery time and survival time. Using the founders of the advanced, high-diversity mouse population, the Diversity Outbred (DO), we found substantial sex and genetic effects on respiratory sensitivity and opiate lethality. We used DO mice treated with morphine to map quantitative trait loci for respiratory depression, recovery time and survival time. Trait mapping and integrative functional genomic analysis in GeneWeaver has allowed us to implicate Galnt11, an N-acetylgalactosaminyltransferase, as a gene that regulates OIRD.
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Affiliation(s)
| | - Hao He
- The Jackson Laboratory, Bar Harbor, ME, 04605, USA
| | | | - Tyler Roy
- The Jackson Laboratory, Bar Harbor, ME, 04605, USA
| | | | | | - Kevin D Donohue
- Signal Solutions, LLC, Lexington, KY, USA
- Electrical and Computer Engineering Department, University of Kentucky, Lexington, KY, USA
| | - Bruce F O'Hara
- Signal Solutions, LLC, Lexington, KY, USA
- Department of Biology, University of Kentucky, Lexington, KY, USA
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