ABSTRACT
Recent identification of oncogenic cells within healthy tissues and the prevalence of indolent cancers found incidentally at autopsies reveal a greater complexity in tumor initiation than previously appreciated. The human body contains roughly 40 trillion cells of 200 different types that are organized within a complex three-dimensional matrix, necessitating exquisite mechanisms to restrain aberrant outgrowth of malignant cells that have the capacity to kill the host. Understanding how this defense is overcome to trigger tumorigenesis and why cancer is so extraordinarily rare at the cellular level is vital to future prevention therapies. In this review, we discuss how early initiated cells are protected from further tumorigenesis and the non-mutagenic pathways by which cancer risk factors promote tumor growth. By nature, the absence of permanent genomic alterations potentially renders these tumor-promoting mechanisms clinically targetable. Finally, we consider existing strategies for early cancer interception with perspectives on the next steps for molecular cancer prevention.
Subject(s)
Neoplasms , Humans , Carcinogenesis , Cell Transformation, Neoplastic , Genomics/methods , Neoplasms/epidemiology , Neoplasms/genetics , Neoplasms/metabolism , Neoplasms/pathology , Risk FactorsABSTRACT
The ε4 variant in the APOE gene is the strongest genetic risk factor for Alzheimer's disease. How does this gene impact different cell types in the brain to increase disease risk? In this issue of Cell, TCW and colleagues report APOE-driven cell-type-specific changes that may contribute to Alzheimer's disease risk.
Subject(s)
Alzheimer Disease , Apolipoprotein E4 , Apolipoproteins E/metabolism , Alzheimer Disease/genetics , Apolipoprotein E4/genetics , Brain , Humans , Risk FactorsABSTRACT
Post-acute sequelae of COVID-19 (PASC) represent an emerging global crisis. However, quantifiable risk factors for PASC and their biological associations are poorly resolved. We executed a deep multi-omic, longitudinal investigation of 309 COVID-19 patients from initial diagnosis to convalescence (2-3 months later), integrated with clinical data and patient-reported symptoms. We resolved four PASC-anticipating risk factors at the time of initial COVID-19 diagnosis: type 2 diabetes, SARS-CoV-2 RNAemia, Epstein-Barr virus viremia, and specific auto-antibodies. In patients with gastrointestinal PASC, SARS-CoV-2-specific and CMV-specific CD8+ T cells exhibited unique dynamics during recovery from COVID-19. Analysis of symptom-associated immunological signatures revealed coordinated immunity polarization into four endotypes, exhibiting divergent acute severity and PASC. We find that immunological associations between PASC factors diminish over time, leading to distinct convalescent immune states. Detectability of most PASC factors at COVID-19 diagnosis emphasizes the importance of early disease measurements for understanding emergent chronic conditions and suggests PASC treatment strategies.
Subject(s)
COVID-19/complications , COVID-19/diagnosis , Convalescence , Adaptive Immunity/genetics , Adolescent , Adult , Aged , Aged, 80 and over , Autoantibodies/blood , Biomarkers/metabolism , Blood Proteins/metabolism , CD8-Positive T-Lymphocytes/immunology , CD8-Positive T-Lymphocytes/metabolism , COVID-19/immunology , COVID-19/pathology , COVID-19/virology , Disease Progression , Female , Humans , Immunity, Innate/genetics , Longitudinal Studies , Male , Middle Aged , Risk Factors , SARS-CoV-2/isolation & purification , Transcriptome , Young Adult , Post-Acute COVID-19 SyndromeABSTRACT
Osteoarthritis affects over 300 million people worldwide. Here, we conduct a genome-wide association study meta-analysis across 826,690 individuals (177,517 with osteoarthritis) and identify 100 independently associated risk variants across 11 osteoarthritis phenotypes, 52 of which have not been associated with the disease before. We report thumb and spine osteoarthritis risk variants and identify differences in genetic effects between weight-bearing and non-weight-bearing joints. We identify sex-specific and early age-at-onset osteoarthritis risk loci. We integrate functional genomics data from primary patient tissues (including articular cartilage, subchondral bone, and osteophytic cartilage) and identify high-confidence effector genes. We provide evidence for genetic correlation with phenotypes related to pain, the main disease symptom, and identify likely causal genes linked to neuronal processes. Our results provide insights into key molecular players in disease processes and highlight attractive drug targets to accelerate translation.
Subject(s)
Genetic Predisposition to Disease , Genetics, Population , Osteoarthritis/genetics , Female , Genome-Wide Association Study , Humans , Osteoarthritis/drug therapy , Phenotype , Polymorphism, Single Nucleotide/genetics , Risk Factors , Sex Characteristics , Signal Transduction/geneticsABSTRACT
Throughout development and aging, human cells accumulate mutations resulting in genomic mosaicism and genetic diversity at the cellular level. Mosaic mutations present in the gonads can affect both the individual and the offspring and subsequent generations. Here, we explore patterns and temporal stability of clonal mosaic mutations in male gonads by sequencing ejaculated sperm. Through 300× whole-genome sequencing of blood and sperm from healthy men, we find each ejaculate carries on average 33.3 ± 12.1 (mean ± SD) clonal mosaic variants, nearly all of which are detected in serial sampling, with the majority absent from sampled somal tissues. Their temporal stability and mutational signature suggest origins during embryonic development from a largely immutable stem cell niche. Clonal mosaicism likely contributes a transmissible, predicted pathogenic exonic variant for 1 in 15 men, representing a life-long threat of transmission for these individuals and a significant burden on human population health.
Subject(s)
Growth and Development , Mosaicism , Spermatozoa/metabolism , Adolescent , Aging/blood , Alleles , Clone Cells , Cohort Studies , Humans , Male , Models, Biological , Mutation/genetics , Risk Factors , Time Factors , Young AdultABSTRACT
Current catalogs of regulatory sequences in the human genome are still incomplete and lack cell type resolution. To profile the activity of gene regulatory elements in diverse cell types and tissues in the human body, we applied single-cell chromatin accessibility assays to 30 adult human tissue types from multiple donors. We integrated these datasets with previous single-cell chromatin accessibility data from 15 fetal tissue types to reveal the status of open chromatin for â¼1.2 million candidate cis-regulatory elements (cCREs) in 222 distinct cell types comprised of >1.3 million nuclei. We used these chromatin accessibility maps to delineate cell-type-specificity of fetal and adult human cCREs and to systematically interpret the noncoding variants associated with complex human traits and diseases. This rich resource provides a foundation for the analysis of gene regulatory programs in human cell types across tissues, life stages, and organ systems.
Subject(s)
Chromatin/metabolism , Genome, Human , Single-Cell Analysis , Adult , Cluster Analysis , Fetus/metabolism , Genetic Variation , Genome-Wide Association Study , Humans , Organ Specificity , Phylogeny , Regulatory Sequences, Nucleic Acid/genetics , Risk FactorsABSTRACT
The emergence of the COVID-19 epidemic in the United States (U.S.) went largely undetected due to inadequate testing. New Orleans experienced one of the earliest and fastest accelerating outbreaks, coinciding with Mardi Gras. To gain insight into the emergence of SARS-CoV-2 in the U.S. and how large-scale events accelerate transmission, we sequenced SARS-CoV-2 genomes during the first wave of the COVID-19 epidemic in Louisiana. We show that SARS-CoV-2 in Louisiana had limited diversity compared to other U.S. states and that one introduction of SARS-CoV-2 led to almost all of the early transmission in Louisiana. By analyzing mobility and genomic data, we show that SARS-CoV-2 was already present in New Orleans before Mardi Gras, and the festival dramatically accelerated transmission. Our study provides an understanding of how superspreading during large-scale events played a key role during the early outbreak in the U.S. and can greatly accelerate epidemics.
Subject(s)
COVID-19/epidemiology , Epidemics , SARS-CoV-2/physiology , COVID-19/transmission , Databases as Topic , Disease Outbreaks , Humans , Louisiana/epidemiology , Phylogeny , Risk Factors , SARS-CoV-2/classification , Texas , Travel , United States/epidemiologyABSTRACT
The prevalence of type 2 diabetes and obesity has risen dramatically for decades and is expected to rise further, secondary to the growing aging, sedentary population. The strain on global health care is projected to be colossal. This review explores the latest work and emerging ideas related to genetic and environmental factors influencing metabolism. Translational research and clinical applications, including the impact of the COVID-19 pandemic, are highlighted. Looking forward, strategies to personalize all aspects of prevention, management and care are necessary to improve health outcomes and reduce the impact of these metabolic diseases.
Subject(s)
COVID-19/epidemiology , Diabetes Mellitus, Type 2/epidemiology , Diabetes Mellitus, Type 2/therapy , Obesity/epidemiology , Obesity/therapy , Pandemics , Precision Medicine/methods , SARS-CoV-2 , COVID-19/virology , Circadian Rhythm , Diabetes Mellitus, Type 2/genetics , Diabetes Mellitus, Type 2/metabolism , Epigenesis, Genetic , Genetic Predisposition to Disease , Humans , Inflammation/immunology , Inflammation/metabolism , Obesity/genetics , Obesity/metabolism , Prevalence , Risk Factors , ThermotoleranceABSTRACT
The COVID-19 pandemic has highlighted structural inequalities and racism promoting health disparities among communities of color. Taking cardiovascular disease as an example, we provide a framework for multidisciplinary efforts leveraging translational and epidemiologic approaches to decode the biological impacts of inequalities and racism and develop targeted interventions that promote health equity.
Subject(s)
COVID-19/epidemiology , Health Equity , Health Promotion/methods , Racism , Stress, Physiological/immunology , COVID-19/immunology , COVID-19/metabolism , COVID-19/psychology , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/immunology , Cardiovascular Diseases/metabolism , Cardiovascular Diseases/psychology , Gene Expression Regulation/genetics , Gene Expression Regulation/immunology , Gene Expression Regulation/physiology , Humans , Hypothalamo-Hypophyseal System/immunology , Hypothalamo-Hypophyseal System/physiology , Racism/psychology , Risk Factors , Sympathetic Nervous System/immunology , Sympathetic Nervous System/physiologyABSTRACT
Research on astronaut health and model organisms have revealed six features of spaceflight biology that guide our current understanding of fundamental molecular changes that occur during space travel. The features include oxidative stress, DNA damage, mitochondrial dysregulation, epigenetic changes (including gene regulation), telomere length alterations, and microbiome shifts. Here we review the known hazards of human spaceflight, how spaceflight affects living systems through these six fundamental features, and the associated health risks of space exploration. We also discuss the essential issues related to the health and safety of astronauts involved in future missions, especially planned long-duration and Martian missions.
Subject(s)
Extraterrestrial Environment , Space Flight , Astronauts , Health , Humans , Microbiota , Risk FactorsABSTRACT
During human evolution, the knee adapted to the biomechanical demands of bipedalism by altering chondrocyte developmental programs. This adaptive process was likely not without deleterious consequences to health. Today, osteoarthritis occurs in 250 million people, with risk variants enriched in non-coding sequences near chondrocyte genes, loci that likely became optimized during knee evolution. We explore this relationship by epigenetically profiling joint chondrocytes, revealing ancient selection and recent constraint and drift on knee regulatory elements, which also overlap osteoarthritis variants that contribute to disease heritability by tending to modify constrained functional sequence. We propose a model whereby genetic violations to regulatory constraint, tolerated during knee development, lead to adult pathology. In support, we discover a causal enhancer variant (rs6060369) present in billions of people at a risk locus (GDF5-UQCC1), showing how it impacts mouse knee-shape and osteoarthritis. Overall, our methods link an evolutionarily novel aspect of human anatomy to its pathogenesis.
Subject(s)
Chondrocytes/physiology , Knee Joint/physiology , Osteoarthritis/genetics , Animals , Biological Evolution , Chondrocytes/metabolism , Evolution, Molecular , Genetic Predisposition to Disease/genetics , Growth Differentiation Factor 5/genetics , Growth Differentiation Factor 5/metabolism , HEK293 Cells , Humans , Knee/physiology , Mice , NIH 3T3 Cells , Regulatory Sequences, Nucleic Acid/genetics , Risk FactorsABSTRACT
Multiple sclerosis (MS) is an autoimmune disease characterized by attack on oligodendrocytes within the central nervous system (CNS). Despite widespread use of immunomodulatory therapies, patients may still face progressive disability because of failure of myelin regeneration and loss of neurons, suggesting additional cellular pathologies. Here, we describe a general approach for identifying specific cell types in which a disease allele exerts a pathogenic effect. Applying this approach to MS risk loci, we pinpoint likely pathogenic cell types for 70%. In addition to T cell loci, we unexpectedly identified myeloid- and CNS-specific risk loci, including two sites that dysregulate transcriptional pause release in oligodendrocytes. Functional studies demonstrated inhibition of transcriptional elongation is a dominant pathway blocking oligodendrocyte maturation. Furthermore, pause release factors are frequently dysregulated in MS brain tissue. These data implicate cell-intrinsic aberrations outside of the immune system and suggest new avenues for therapeutic development. VIDEO ABSTRACT.
Subject(s)
Cell Communication/genetics , Disease/genetics , Oligodendroglia/metabolism , Animals , Brain/metabolism , Central Nervous System/metabolism , Demyelinating Diseases/metabolism , Demyelinating Diseases/pathology , Humans , Multiple Sclerosis/genetics , Multiple Sclerosis/metabolism , Multiple Sclerosis/physiopathology , Myelin Sheath/metabolism , Neurons/metabolism , Oligodendroglia/physiology , Risk FactorsABSTRACT
Staphylococcus aureus bacteremia (SaB) causes significant disease in humans, carrying mortality rates of â¼25%. The ability to rapidly predict SaB patient responses and guide personalized treatment regimens could reduce mortality. Here, we present a resource of SaB prognostic biomarkers. Integrating proteomic and metabolomic techniques enabled the identification of >10,000 features from >200 serum samples collected upon clinical presentation. We interrogated the complexity of serum using multiple computational strategies, which provided a comprehensive view of the early host response to infection. Our biomarkers exceed the predictive capabilities of those previously reported, particularly when used in combination. Last, we validated the biological contribution of mortality-associated pathways using a murine model of SaB. Our findings represent a starting point for the development of a prognostic test for identifying high-risk patients at a time early enough to trigger intensive monitoring and interventions.
Subject(s)
Bacteremia/blood , Bacteremia/mortality , Staphylococcal Infections/blood , Staphylococcal Infections/mortality , Staphylococcus aureus/pathogenicity , Animals , Bacteremia/metabolism , Biomarkers/blood , Biomarkers/metabolism , Disease Models, Animal , Female , Humans , Male , Metabolomics/methods , Mice , Middle Aged , Prognosis , Proteomics/methods , Risk Factors , Staphylococcal Infections/metabolismABSTRACT
Hepatocellular carcinoma (HCC) is an aggressive malignancy with its global incidence and mortality rate continuing to rise, although early detection and surveillance are suboptimal. We performed serological profiling of the viral infection history in 899 individuals from an NCI-UMD case-control study using a synthetic human virome, VirScan. We developed a viral exposure signature and validated the results in a longitudinal cohort with 173 at-risk patients who had long-term follow-up for HCC development. Our viral exposure signature significantly associated with HCC status among at-risk individuals in the validation cohort (area under the curve: 0.91 [95% CI 0.87-0.96] at baseline and 0.98 [95% CI 0.97-1] at diagnosis). The signature identified cancer patients prior to a clinical diagnosis and was superior to alpha-fetoprotein. In summary, we established a viral exposure signature that can predict HCC among at-risk patients prior to a clinical diagnosis, which may be useful in HCC surveillance.
Subject(s)
Carcinoma, Hepatocellular/pathology , Liver Neoplasms/pathology , Virus Diseases/pathology , Adult , Aged , Area Under Curve , Carcinoma, Hepatocellular/genetics , Carcinoma, Hepatocellular/metabolism , Case-Control Studies , Cohort Studies , Databases, Genetic , Female , Genome-Wide Association Study , Humans , Linkage Disequilibrium , Liver Neoplasms/genetics , Liver Neoplasms/metabolism , Male , Middle Aged , Polymorphism, Single Nucleotide , ROC Curve , Risk Factors , Virus Diseases/complications , Young Adult , alpha-Fetoproteins/analysisABSTRACT
Using untargeted metabolomics (n = 1,162 subjects), the plasma metabolite (m/z = 265.1188) phenylacetylglutamine (PAGln) was discovered and then shown in an independent cohort (n = 4,000 subjects) to be associated with cardiovascular disease (CVD) and incident major adverse cardiovascular events (myocardial infarction, stroke, or death). A gut microbiota-derived metabolite, PAGln, was shown to enhance platelet activation-related phenotypes and thrombosis potential in whole blood, isolated platelets, and animal models of arterial injury. Functional and genetic engineering studies with human commensals, coupled with microbial colonization of germ-free mice, showed the microbial porA gene facilitates dietary phenylalanine conversion into phenylacetic acid, with subsequent host generation of PAGln and phenylacetylglycine (PAGly) fostering platelet responsiveness and thrombosis potential. Both gain- and loss-of-function studies employing genetic and pharmacological tools reveal PAGln mediates cellular events through G-protein coupled receptors, including α2A, α2B, and ß2-adrenergic receptors. PAGln thus represents a new CVD-promoting gut microbiota-dependent metabolite that signals via adrenergic receptors.
Subject(s)
Cardiovascular Diseases/blood , Gastrointestinal Microbiome/genetics , Glutamine/analogs & derivatives , Thrombosis/metabolism , Animals , Arteries/injuries , Arteries/metabolism , Arteries/microbiology , Bacterial Proteins/genetics , Bacterial Proteins/metabolism , Blood Platelets/metabolism , Blood Platelets/microbiology , Cardiovascular Diseases/genetics , Cardiovascular Diseases/microbiology , Cardiovascular Diseases/pathology , Death, Sudden, Cardiac/pathology , Glutamine/blood , Glutamine/genetics , Humans , Male , Metabolome/genetics , Metabolomics/methods , Mice , Myocardial Infarction/blood , Myocardial Infarction/microbiology , Platelet Activation/genetics , Receptors, Adrenergic, alpha/blood , Receptors, Adrenergic, alpha/genetics , Receptors, Adrenergic, beta/blood , Receptors, Adrenergic, beta/genetics , Risk Factors , Stroke/blood , Stroke/microbiology , Stroke/pathology , Thrombosis/genetics , Thrombosis/microbiology , Thrombosis/pathologyABSTRACT
SARS-CoV-2 infections display tremendous interindividual variability, ranging from asymptomatic infections to life-threatening disease. Inborn errors of, and autoantibodies directed against, type I interferons (IFNs) account for about 20% of critical COVID-19 cases among SARS-CoV-2-infected individuals. By contrast, the genetic and immunological determinants of resistance to infection per se remain unknown. Following the discovery that autosomal recessive deficiency in the DARC chemokine receptor confers resistance to Plasmodium vivax, autosomal recessive deficiencies of chemokine receptor 5 (CCR5) and the enzyme FUT2 were shown to underlie resistance to HIV-1 and noroviruses, respectively. Along the same lines, we propose a strategy for identifying, recruiting, and genetically analyzing individuals who are naturally resistant to SARS-CoV-2 infection.
Subject(s)
COVID-19/genetics , Disease Resistance/genetics , Genetic Predisposition to Disease , SARS-CoV-2/pathogenicity , Animals , COVID-19/immunology , COVID-19/virology , Genetic Heterogeneity , Host-Pathogen Interactions , Humans , Phenotype , Protective Factors , Risk Assessment , Risk Factors , SARS-CoV-2/immunologyABSTRACT
Children and adolescents exhibit a broad range of clinical outcomes from SARS-CoV-2 infection, with the majority having minimal to mild symptoms. Additionally, some succumb to a severe hyperinflammatory post-infectious complication called multisystem inflammatory syndrome in children (MIS-C), predominantly affecting previously healthy individuals. Studies characterizing the immunological differences associated with these clinical outcomes have identified pathways important for host immunity to SARS-CoV-2 and innate modulators of disease severity. In this Review, we delineate the immunological mechanisms underlying the spectrum of pediatric immune response to SARS-CoV-2 infection in comparison with that of adults.
Subject(s)
COVID-19/complications , COVID-19/immunology , Immunity, Innate , SARS-CoV-2/immunology , Systemic Inflammatory Response Syndrome/immunology , Adolescent , Adolescent Development , Age Factors , Asymptomatic Diseases , COVID-19/diagnosis , COVID-19/virology , Child , Child Development , Comorbidity , Host-Pathogen Interactions , Humans , Risk Factors , SARS-CoV-2/pathogenicity , Severity of Illness Index , Systemic Inflammatory Response Syndrome/diagnosis , Systemic Inflammatory Response Syndrome/virologyABSTRACT
Although serial tumor assessments are increasingly performed through imaging and molecular approaches, such evaluations are often considered in isolation, as robust frameworks for integrating multiple biomarkers are currently lacking. Thus, in this issue of Cell, Kurtz et al. present a method (termed CIRI) that integrates pre-treatment and on-treatment risk factors for accurate outcome prediction.
Subject(s)
Biomarkers, Tumor , Risk FactorsABSTRACT
Obesity is one of the most serious health challenges of our time. In this issue of Cell, Khera and co-authors demonstrate the striking ability of genetics, in the form of a polygenic risk score, to identify those individuals at high risk for obesity. This genetic risk expresses itself early as childhood obesity, reinforcing the notion that early prevention is essential to combatting the obesity epidemic.
Subject(s)
Genetic Predisposition to Disease , Multifactorial Inheritance , Adult , Body Weight , Child , Female , Humans , Obesity , Pregnancy , Risk FactorsABSTRACT
The majority of studies of genetic association with disease have been performed in Europeans. This European bias has important implications for risk prediction of diseases across global populations. In this commentary, we justify the need to study more diverse populations using both empirical examples and theoretical reasoning.