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Venner E, Patterson K, Kalra D, Wheeler MM, Chen YJ, Kalla SE, Yuan B, Karnes JH, Walker K, Smith JD, McGee S, Radhakrishnan A, Haddad A, Empey PE, Wang Q, Lichtenstein L, Toledo D, Jarvik G, Musick A, Gibbs RA. The frequency of pathogenic variation in the All of Us cohort reveals ancestry-driven disparities. Commun Biol 2024; 7:174. [PMID: 38374434 PMCID: PMC10876563 DOI: 10.1038/s42003-023-05708-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 12/13/2023] [Indexed: 02/21/2024] Open
Abstract
Disparities in data underlying clinical genomic interpretation is an acknowledged problem, but there is a paucity of data demonstrating it. The All of Us Research Program is collecting data including whole-genome sequences, health records, and surveys for at least a million participants with diverse ancestry and access to healthcare, representing one of the largest biomedical research repositories of its kind. Here, we examine pathogenic and likely pathogenic variants that were identified in the All of Us cohort. The European ancestry subgroup showed the highest overall rate of pathogenic variation, with 2.26% of participants having a pathogenic variant. Other ancestry groups had lower rates of pathogenic variation, including 1.62% for the African ancestry group and 1.32% in the Latino/Admixed American ancestry group. Pathogenic variants were most frequently observed in genes related to Breast/Ovarian Cancer or Hypercholesterolemia. Variant frequencies in many genes were consistent with the data from the public gnomAD database, with some notable exceptions resolved using gnomAD subsets. Differences in pathogenic variant frequency observed between ancestral groups generally indicate biases of ascertainment of knowledge about those variants, but some deviations may be indicative of differences in disease prevalence. This work will allow targeted precision medicine efforts at revealed disparities.
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Affiliation(s)
- Eric Venner
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
| | - Karynne Patterson
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Divya Kalra
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Marsha M Wheeler
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Yi-Ju Chen
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Sara E Kalla
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Bo Yuan
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Jason H Karnes
- University of Arizona, R Ken Coit College of Pharmacy, Department of Pharmacy Practice and Science, Tucson, AZ, USA
- Vanderbilt University Medical Center, Department of Biomedical Informatics, Boston, MA, USA
| | - Kimberly Walker
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Joshua D Smith
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Sean McGee
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | | | - Andrew Haddad
- Department of Pharmaceutical Sciences, University of Pittsburgh School of Pharmacy, Pittsburgh, PA, USA
| | - Philip E Empey
- Department of Pharmacy and Therapeutics, University of Pittsburgh School of Pharmacy, Pittsburgh, PA, USA
| | - Qiaoyan Wang
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | | | - Diana Toledo
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Gail Jarvik
- Department of Medicine (Medical Genetics), University of Washington School of Medicine, Seattle, WA, USA
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Anjene Musick
- NIH All of Us Research Program, National Institutes of Health Office of the Director, Bethesda, MD, USA
| | - Richard A Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
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Eric V, Yi V, Murdock D, Kalla SE, Wu TJ, Sabo A, Li S, Meng Q, Tian X, Murugan M, Cohen M, Kovar C, Wei WQ, Chung WK, Weng C, Wiesner GL, Jarvik GP, Muzny D, Gibbs RA. Neptune: an environment for the delivery of genomic medicine. Genet Med 2021; 23:1838-1846. [PMID: 34257418 PMCID: PMC8487966 DOI: 10.1038/s41436-021-01230-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 05/13/2021] [Indexed: 11/08/2022] Open
Abstract
PURPOSE Genomic medicine holds great promise for improving health care, but integrating searchable and actionable genetic data into electronic health records (EHRs) remains a challenge. Here we describe Neptune, a system for managing the interaction between a clinical laboratory and an EHR system during the clinical reporting process. METHODS We developed Neptune and applied it to two clinical sequencing projects that required report customization, variant reanalysis, and EHR integration. RESULTS Neptune has been applied for the generation and delivery of over 15,000 clinical genomic reports. This work spans two clinical tests based on targeted gene panels that contain 68 and 153 genes respectively. These projects demanded customizable clinical reports that contained a variety of genetic data types including single-nucleotide variants (SNVs), copy-number variants (CNVs), pharmacogenomics, and polygenic risk scores. Two variant reanalysis activities were also supported, highlighting this important workflow. CONCLUSION Methods are needed for delivering structured genetic data to EHRs. This need extends beyond developing data formats to providing infrastructure that manages the reporting process itself. Neptune was successfully applied on two high-throughput clinical sequencing projects to build and deliver clinical reports to EHR systems. The software is open source and available at https://gitlab.com/bcm-hgsc/neptune .
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Affiliation(s)
- Venner Eric
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
| | - Victoria Yi
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - David Murdock
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Sara E Kalla
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Tsung-Jung Wu
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Aniko Sabo
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Shoudong Li
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Qingchang Meng
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Xia Tian
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Mullai Murugan
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Michelle Cohen
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Christie Kovar
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Wei-Qi Wei
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Wendy K Chung
- Departments of Pediatrics and Medicine, Columbia University, New York, NY, USA
| | - Chunhua Weng
- Department of Biomedical Informatics, Columbia University, New York, New York, NY, USA
| | - Georgia L Wiesner
- Division of Genetic Medicine, Department of Internal Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Gail P Jarvik
- Department of Medicine (Medical Genetics), University of Washington School of Medicine, Seattle, WA, USA
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Donna Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Richard A Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
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Zouk H, Venner E, Lennon NJ, Muzny DM, Abrams D, Adunyah S, Albertson-Junkans L, Ames DC, Appelbaum P, Aronson S, Aufox S, Babb LJ, Balasubramanian A, Bangash H, Basford M, Bastarache L, Baxter S, Behr M, Benoit B, Bhoj E, Bielinski SJ, Bland HT, Blout C, Borthwick K, Bottinger EP, Bowser M, Brand H, Brilliant M, Brodeur W, Caraballo P, Carrell D, Carroll A, Almoguera B, Castillo L, Castro V, Chandanavelli G, Chiang T, Chisholm RL, Christensen KD, Chung W, Chute CG, City B, Cobb BL, Connolly JJ, Crane P, Crew K, Crosslin D, De Andrade M, De la Cruz J, Denson S, Denny J, DeSmet T, Dikilitas O, Friedrich C, Fullerton SM, Funke B, Gabriel S, Gainer V, Gharavi A, Glazer AM, Glessner JT, Goehringer J, Gordon AS, Graham C, Green RC, Gundelach JH, Dayal J, Hain HS, Hakonarson H, Harden MV, Harley J, Harr M, Hartzler A, Hayes MG, Hebbring S, Henrikson N, Hershey A, Hoell C, Holm I, Howell KM, Hripcsak G, Hu J, Jarvik GP, Jayaseelan JC, Jiang Y, Joo YY, Jose S, Josyula NS, Justice AE, Kalla SE, Kalra D, Karlson E, Kelly MA, Keating BJ, Kenny EE, Key D, Kiryluk K, Kitchner T, Klanderman B, Klee E, Kochan DC, Korchina V, Kottyan L, Kovar C, Kudalkar E, Kullo IJ, Lammers P, Larson EB, Lebo MS, Leduc M, Lee MT(M, Leppig KA, Leslie ND, Li R, Liang WH, Lin CF, Linder J, Lindor NM, Lingren T, Linneman JG, Liu C, Liu W, Liu X, Lynch J, Lyon H, Macbeth A, Mahadeshwar H, Mahanta L, Malin B, Manolio T, Marasa M, Marsolo K, Dinsmore MJ, Dodge S, Hynes ED, Dunlea P, Edwards TL, Eng CM, Fasel D, Fedotov A, Feng Q, Fleharty M, Foster A, Freimuth R, McGowan ML, McNally E, Meldrim J, Mentch F, Mosley J, Mukherjee S, Mullen TE, Muniz J, Murdock DR, Murphy S, Murugan M, Myers MF, Namjou B, Ni Y, Obeng AO, Onofrio RC, Taylor CO, Person TN, Peterson JF, Petukhova L, Pisieczko CJ, Pratap S, Prows CA, Puckelwartz MJ, Rahm AK, Raj R, Ralston JD, Ramaprasan A, Ramirez A, Rasmussen L, Rasmussen-Torvik L, Rasouly HM, Raychaudhuri S, Ritchie MD, Rives C, Riza B, Roden D, Rosenthal EA, Santani A, Schaid D, Scherer S, Scott S, Scrol A, Sengupta S, Shang N, Sharma H, Sharp RR, Singh R, Sleiman PM, Slowik K, Smith JC, Smith ME, Smoller JW, Sohn S, Stanaway IB, Starren J, Stroud M, Su J, Tolwinski K, Van Driest SL, Vargas SM, Varugheese M, Veenstra D, Verbitsky M, Vicente G, Wagner M, Walker K, Walunas T, Wang L, Wang Q, Wei WQ, Weiss ST, Wiesner GL, Wells Q, Weng C, White PS, Wiley KL, Williams JL, Williams MS, Wilson MW, Witkowski L, Woods LA, Woolf B, Wu TJ, Wynn J, Yang Y, Yi V, Zhang G, Zhang L, Rehm HL, Gibbs RA. Harmonizing Clinical Sequencing and Interpretation for the eMERGE III Network. Am J Hum Genet 2019; 105:588-605. [PMID: 31447099 PMCID: PMC6731372 DOI: 10.1016/j.ajhg.2019.07.018] [Citation(s) in RCA: 77] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Accepted: 07/26/2019] [Indexed: 12/25/2022] Open
Abstract
The advancement of precision medicine requires new methods to coordinate and deliver genetic data from heterogeneous sources to physicians and patients. The eMERGE III Network enrolled >25,000 participants from biobank and prospective cohorts of predominantly healthy individuals for clinical genetic testing to determine clinically actionable findings. The network developed protocols linking together the 11 participant collection sites and 2 clinical genetic testing laboratories. DNA capture panels targeting 109 genes were used for testing of DNA and sample collection, data generation, interpretation, reporting, delivery, and storage were each harmonized. A compliant and secure network enabled ongoing review and reconciliation of clinical interpretations, while maintaining communication and data sharing between clinicians and investigators. A total of 202 individuals had positive diagnostic findings relevant to the indication for testing and 1,294 had additional/secondary findings of medical significance deemed to be returnable, establishing data return rates for other testing endeavors. This study accomplished integration of structured genomic results into multiple electronic health record (EHR) systems, setting the stage for clinical decision support to enable genomic medicine. Further, the established processes enable different sequencing sites to harmonize technical and interpretive aspects of sequencing tests, a critical achievement toward global standardization of genomic testing. The eMERGE protocols and tools are available for widespread dissemination.
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Posbergh CJ, Kalla SE, Sutter NB, Tennant BC, Huson HJ. Mutation responsible for congenital photosensitivity and hyperbilirubinemia in Southdown sheep. Am J Vet Res 2018; 79:538-545. [PMID: 29688779 DOI: 10.2460/ajvr.79.5.538] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
OBJECTIVE To identify the genetic cause for congenital photosensitivity and hyperbilirubinemia (CPH) in Southdown sheep. ANIMALS 73 Southdown sheep from a CPH research flock and 48 sheep of various breeds from commercial flocks without CPH. PROCEDURES Whole-genome sequencing was performed for a phenotypically normal Southdown sheep heterozygous for CPH. Heterozygous variants within Slco1b3 coding exons were identified, and exons that contained candidate mutations were amplified by PCR assay methods for Sanger sequencing. Blood samples from the other 72 Southdown sheep of the CPH research flock were used to determine plasma direct and indirect bilirubin concentrations. Southdown sheep with a plasma total bilirubin concentration < 0.3 mg/dL were classified as controls, and those with a total bilirubin concentration ≥ 0.3 mg/dL and signs of photosensitivity were classified as mutants. Sanger sequencing was used to determine the Slco1b3 genotype for all sheep. Genotypes were compared between mutants and controls of the CPH research flock and among all sheep. Protein homology was measured across 8 species to detect evolutionary conservation of Slco1b. RESULTS A nonsynonymous mutation at ovine Chr3:193,691,195, which generated a glycine-to-arginine amino acid change within the predicted Slco1b3 protein, was significantly associated with hyperbilirubinemia and predicted to be deleterious. That amino acid was conserved across 7 other mammalian species. CONCLUSIONS AND CLINICAL RELEVANCE Results suggested a nonsynonymous mutation in Slco1b3 causes CPH in Southdown sheep. This disease appears to be similar to Rotor syndrome in humans. Sheep with CPH might be useful animals for Rotor syndrome research.
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Staiger EA, Al Abri MA, Pflug KM, Kalla SE, Ainsworth DM, Miller D, Raudsepp T, Sutter NB, Brooks SA. Skeletal variation in Tennessee Walking Horses maps to the LCORL/NCAPG gene region. Physiol Genomics 2016; 48:325-35. [PMID: 26931356 DOI: 10.1152/physiolgenomics.00100.2015] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2015] [Accepted: 02/19/2016] [Indexed: 11/22/2022] Open
Abstract
Conformation has long been a driving force in horse selection and breed creation as a predictor for performance. The Tennessee Walking Horse (TWH) ranges in size from 1.5 to 1.7 m and is often used as a trail, show, and pleasure horse. To investigate the contribution of genetics to body conformation in the TWH, we collected DNA samples, body measurements, and gait/training information from 282 individuals. We analyzed the 32 body measures with a principal component analysis. Principal component (PC)1 captured 28.5% of the trait variance, while PC2 comprised just 9.5% and PC3 6.4% of trait variance. All 32 measures correlated positively with PC1, indicating that PC1 describes overall body size. We genotyped 109 horses using the EquineSNP70 bead chip and marker association assessed the data using PC1 scores as a phenotype. Mixed-model linear analysis (EMMAX) revealed a well-documented candidate locus on ECA3 (raw P = 3.86 × 10(-9)) near the LCORL gene. A custom genotyping panel enabled fine-mapping of the PC1 body-size trait to the 3'-end of the LCORL gene (P = 7.09 × 10(-10)). This position differs from other reports suggesting single nucleotide polymorphisms (SNPs) upstream of the LCORL coding sequence regulate expression of the gene and, therefore, body size in horses. Fluorescent in situ hybridization analysis defined the position of a highly homologous 5 kb retrogene copy of LCORL (assigned to unplaced contigs of the EquCab 2.0 assembly) at ECA9 q12-q13. This is the first study to identify putative causative SNPs within the LCORL transcript itself, which are associated with skeletal size variation in horses.
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Affiliation(s)
- E A Staiger
- Department of Animal Science, Cornell University, Ithaca, New York
| | - M A Al Abri
- Department of Animal and Veterinary Sciences, College of Agriculture and Marine Sciences, Sultan Qaboos University, Muscat, Oman
| | - K M Pflug
- Department of Animal Science, University of Florida, Gainesville, Florida
| | - S E Kalla
- Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York
| | - D M Ainsworth
- Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York
| | - D Miller
- Baker Institute for Animal Health, Cornell University, Ithaca, New York
| | - T Raudsepp
- Department of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas; and
| | - N B Sutter
- Department of Biology, La Sierra University, Riverside, California
| | - S A Brooks
- Department of Animal Science, University of Florida, Gainesville, Florida;
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Kalla SE, Queller DC, Lasagni A, Strassmann JE. Kin discrimination and possible cryptic species in the social amoeba Polysphondylium violaceum. BMC Evol Biol 2011; 11:31. [PMID: 21272359 PMCID: PMC3041686 DOI: 10.1186/1471-2148-11-31] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2009] [Accepted: 01/27/2011] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND The genetic diversity of many protists is unknown. The differences that result from this diversity can be important in interactions among individuals. The social amoeba Polysphondylium violaceum, which is a member of the Dictyostelia, has a social stage where individual amoebae aggregate together to form a multicellular fruiting body with dead stalk cells and live spores. Individuals can either cooperate with amoebae from the same clone, or sort to form clonal fruiting bodies. In this study we look at genetic diversity in P. violaceum and at how this diversity impacts social behavior. RESULTS The phylogeny of the ribosomal DNA sequence (17S to 5.8S region) shows that P. violaceum is made up of at least two groups. Mating compatibility is more common between clones from the same phylogenetic group, though matings between clones from different phylogenetic groups sometimes occurred. P. violaceum clones are more likely to form clonal fruiting bodies when they are mixed with clones from a different group than when they are mixed with a clone of the same group. CONCLUSION Both the phylogenetic and mating analyses suggest the possibility of cryptic species in P. violaceum. The level of divergence found within P. violaceum is comparable to the divergence between sibling species in other dictyostelids. Both major groups A/B and C/D/E/F show kin discrimination, which elevates relatedness within fruiting bodies but not to the level of clonality. The diminished cooperation in mixes between groups suggests that the level of genetic variation between individuals influences the extent of their cooperation.
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Affiliation(s)
- Sara E Kalla
- Department of Ecology and Evolutionary Biology, Rice University, MS-170, 6100 Main Street, Houston, TX 77005, USA
| | - David C Queller
- Department of Ecology and Evolutionary Biology, Rice University, MS-170, 6100 Main Street, Houston, TX 77005, USA
| | - Andrea Lasagni
- Department of Ecology and Evolutionary Biology, Rice University, MS-170, 6100 Main Street, Houston, TX 77005, USA
| | - Joan E Strassmann
- Department of Ecology and Evolutionary Biology, Rice University, MS-170, 6100 Main Street, Houston, TX 77005, USA
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Mehdiabadi NJ, Jack CN, Farnham TT, Platt TG, Kalla SE, Shaulsky G, Queller DC, Strassmann JE. Kin preference in a social microbe. Nature 2006; 442:881-2. [PMID: 16929288 DOI: 10.1038/442881a] [Citation(s) in RCA: 112] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2006] [Accepted: 06/29/2006] [Indexed: 11/08/2022]
Abstract
Kin recognition helps cooperation to evolve in many animals, but it is uncertain whether microorganisms can also use it to focus altruistic behaviour on relatives. Here we show that the social amoeba Dictyostelium purpureum prefers to form groups with its own kin in situations where some individuals die to assist others. By directing altruism towards kin, D. purpureum should generally avoid the costs of chimaerism experienced by the related D. discoideum.
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Affiliation(s)
- Natasha J Mehdiabadi
- Department of Ecology and Evolutionary Biology, Rice University, Houston, Texas 77005, USA.
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Yaroslavskiy BB, Zhang Y, Kalla SE, García Palacios V, Sharrow AC, Li Y, Zaidi M, Wu C, Blair HC. NO-dependent osteoclast motility: reliance on cGMP-dependent protein kinase I and VASP. J Cell Sci 2005; 118:5479-87. [PMID: 16291726 DOI: 10.1242/jcs.02655] [Citation(s) in RCA: 45] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
The osteoclast degrades bone in cycles; between cycles, the cell is motile. Resorption occurs by acid transport into an extracellular compartment defined by an alphavbeta3 integrin ring. NO has been implicated in the regulation of bone turnover due to stretch or via estrogen signals, but a specific mechanism linking NO to osteoclastic activity has not been described. NO stimulates osteoclast motility, and at high concentrations NO causes detachment and terminates resorption. Here we demonstrate that NO regulates attachment through the cGMP-dependent protein kinase I (PKG I) via phosphorylation of the intermediate protein VASP. VASP colocalized with the alphavbeta3 ring in stationary cells, but alternating bands of VASP and alphavbeta3 occurred when motility was induced by NO donors or cGMP. Redistribution of VASP correlated with its phosphorylation. Dependency of NO-induced motility on PKG I and on VASP was shown by siRNA knockdown of each protein. VASP knockdown also altered distribution of alphavbeta3 at the attachment site. We conclude that PKG I and VASP are essential for reorganization of attachment and cytoplasmic proteins in motility induced by NO or by cGMP.
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Affiliation(s)
- Beatrice B Yaroslavskiy
- Department of Pathology, University of Pittsburgh and Veteran's Affairs Medical Center, Pittsburgh, PA 15243, USA
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9
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Frattini A, Blair HC, Sacco MG, Cerisoli F, Faggioli F, Catò EM, Pangrazio A, Musio A, Rucci F, Sobacchi C, Sharrow AC, Kalla SE, Bruzzone MG, Colombo R, Magli MC, Vezzoni P, Villa A. Rescue of ATPa3-deficient murine malignant osteopetrosis by hematopoietic stem cell transplantation in utero. Proc Natl Acad Sci U S A 2005; 102:14629-34. [PMID: 16195375 PMCID: PMC1253616 DOI: 10.1073/pnas.0507637102] [Citation(s) in RCA: 49] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Autosomal recessive osteopetrosis (ARO) is a paradigm for genetic diseases that cause severe, often irreversible, defects before birth. In ARO, osteoclasts cannot remove mineralized cartilage, bone marrow is severely reduced, and bone cannot be remodeled for growth. More than 50% of the patients show defects in the osteoclastic vacuolar-proton-pump subunit, ATP6a3. We treated ATP6a3-deficient mice by in utero heterologous hematopoietic stem cell (HSC) transplant from outbred GFP transgenic mice. Dramatic phenotype rescue by GFP osteoclasts was obtained with engraftment, which was observed in most cases. Engraftment survived for variable periods. Recipients were not immunosuppressed, and graft-versus-host disease was not observed in all pups born after in utero treatment. Thus, differentiation of unmatched HSC transplanted in utero is sufficient to prevent fatal defects in ARO and may prevent complications of ARO unresponsive to conventional bone marrow transplantation. The presence of defective cells is not a barrier to the rescue of the phenotype by donor HSC.
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Affiliation(s)
- Annalisa Frattini
- Human Genome Department, Istituto di Tecnologie Biomediche, Consiglio Nazionale delle Ricerche, 20090 Segrate, Milan, Italy
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Yaroslavskiy BB, Li Y, Ferguson DJP, Kalla SE, Oakley JI, Blair HC. Autocrine and paracrine nitric oxide regulate attachment of human osteoclasts. J Cell Biochem 2005; 91:962-72. [PMID: 15034931 DOI: 10.1002/jcb.20009] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Nitric oxide (NO) can reduce bone loss in chronic bone diseases. NO inhibits or kills osteoclasts, but the mechanism of action of NO in human bone turnover is not clear. To address this, we studied effects of NO on attachment and motility of human osteoclasts on mineralized and tissue culture substrates under defined conditions. Osteoclasts were differentiated in vitro from CD14 selected monocytes in RANKL and CSF-1, and characterized by cathepsin K expression, tartrate-resistant acid phosphatase (TRAP) activity, acid secretion, and lacunar resorption. Cell attachment was labeled with monoclonal antibody 23C6, specific for a binding domain of a key osteoclast attachment protein, the CD51/CD61 integrin dimer (alpha(v)beta(3)), with or without cell permeabilization. A ring of integrin attachment during bone degradation delimits an extracellular acid compartment, while alpha(v)beta(3) forms focal attachments on non-resorbable substrates. On resorbable substrate but not non-resorbable substrate, alpha(v)beta(3) labeling required cell permeabilization, in keeping with the membrane-matrix apposition that excludes large molecules and allows extracellular acidification. Acid secretion was labeled with the fluorescent weak base indicator lysotracker. NO donors, S-nitroso-N-acetyl penicillamine (SNAP) or sodium nitroprusside (SNP), downmodulated acid secretion simultaneously with cytoskeletal rearrangement, with alpha(v)beta(3) redistributed to a discontinuous pattern that labeled, on bone substrate, without membrane permeabilization. These effects were reversible, and an inhibitor of NO synthesis, N(G)-monomethyl-L-arginine (l-NMMA), increased acid secretion and decreased heterogeneity of attachment structures, showing that NO is an autocrine regulator of attachment. A hydrolysis-resistant activating cGMP analog 8-(4-chlorophenylthio)guanosine-3',5'-cyclic monophosphate replicated effects of NO donors, while an inhibiting analog, 8-(4-chlorophenylthio)guanosine-3',5'-cyclic monophosphorothioate, Rp-isomer, opposed them. On tissue culture or mineralized substrates, NO or cGMP analogs directly regulated motility; after washout cells reattached and survived for days. We conclude that NO is produced by human osteoclasts and regulates acid secretion and cellular motility, in keeping with autocrine and paracrine NO regulation of the resorption cycle.
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Affiliation(s)
- Beatrice B Yaroslavskiy
- Department of Pathology, University of Pittsburgh, and Veteran's Affairs Medical Center, Pittsburgh, Pennsylvania 15243, USA
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García Palacios V, Robinson LJ, Borysenko CW, Lehmann T, Kalla SE, Blair HC. Negative regulation of RANKL-induced osteoclastic differentiation in RAW264.7 Cells by estrogen and phytoestrogens. J Biol Chem 2005; 280:13720-7. [PMID: 15644335 DOI: 10.1074/jbc.m410995200] [Citation(s) in RCA: 93] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
We studied estrogen effects on osteoclastic differentiation using RAW264.7, a murine monocytic cell line. Differentiation, in response to RANKL and colony-stimulating factor 1, was evaluated while varying estrogen receptor (ER) stimulation by estradiol or nonsteroidal ER agonists was performed. The RAW264.7 cells were found to express ERalpha but not ERbeta. In contrast to RANKL, which decreased ERalpha expression and induced osteoclast differentiation, 10 nm estradiol, 3 microm genistein, or 3 microm daidzein all increased ERalpha expression, stimulated cell proliferation, and decreased multinucleation, with the effects of estrogen > or = daidzein > genistein. However, no estrogen agonist reduced RANKL stimulation of osteoclast differentiation markers or its down-regulation of ERalpha expression by more than approximately 50%. Genistein is also an Src kinase antagonist in vitro, but it did not decrease Src phosphorylation in RAW264.7 cells relative to other estrogen agonists. However, both phytoestrogens and estrogen inhibited RANKL-induced IkappaB degradation and NF-kappaB nuclear localization with the same relative potency as seen in proliferation and differentiation assays. This study demonstrates, for the first time, the direct effects of estrogen on osteoclast precursor differentiation and shows that, in addition to effecting osteoblasts, estrogen may protect bone by reducing osteoclast production. Genistein, which activates ERs selectively, inhibited osteoclastogenesis less effectively than the nonselective phytoestrogen daidzein, which effectively reproduced effects of estrogen.
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Affiliation(s)
- Verónica García Palacios
- Department of Pathology and Cell Biology, University of Pittsburgh and the Veterans Affairs Medical Center, Pittsburgh, Pennsylvania 15243, USA
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Blair HC, Borysenko CW, Villa A, Schlesinger PH, Kalla SE, Yaroslavskiy BB, Garćia-Palacios V, Oakley JI, Orchard PJ. In vitro differentiation of CD14 cells from osteopetrotic subjects: contrasting phenotypes with TCIRG1, CLCN7, and attachment defects. J Bone Miner Res 2004; 19:1329-38. [PMID: 15231021 DOI: 10.1359/jbmr.040403] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2003] [Revised: 03/30/2004] [Accepted: 04/05/2004] [Indexed: 01/28/2023]
Abstract
UNLABELLED We studied osteoclastic differentiation from normal and osteopetrotic human CD14 cells in vitro. Defects in acid transport, organic matrix removal, and cell fusion with deficient attachment were found. Analysis of genotypes showed that TCIRG1 anomalies correlated with acid transport defects, but surprisingly, organic matrix removal failure correlated with CLCN7 defects; an attachment defect had normal TCIRG1 and CLCN7. INTRODUCTION Osteopetrotic subjects usually have normal macrophage activity, and despite identification of genetic defects associated with osteopetrosis, the specific developmental and biochemical defects in most cases are unclear. Indeed, patients with identical genotypes often have different clinical courses. We classified defects in osteoclast differentiation in vitro using four osteopetrotic subjects without immune or platelet defects, three of them severe infantile cases, compared with normals. MATERIALS AND METHODS Osteoclast differentiation used isolated CD14 cells; results were correlated with independent analysis of two key genes, CLCN7 and TCIRG1. CD14 cell attachment and cell surface markers and extent of differentiation in RANKL and colony-stimulating factor (CSF)-1 were studied using acid secretion, bone pitting, enzyme, and attachment proteins assays. RESULTS AND CONCLUSIONS CD14 cells from all subjects had similar lysosomal and nonspecific esterase activity. With the exception of cells from one osteopetrotic subject, CD14 cells from osteopetrotic and control monocytes attached similarly to bone or tissue culture substrate. Cells from one osteopetrotic subject, with normal CLCN7 and TCIRG1, did not attach to bone, did not multinucleate, and formed no podosomes or actin rings in RANKL and CSF-1. Attachment defects are described in osteopetrosis, most commonly mild osteopetrosis with Glantzman's thrombasthenia. However, this case, with abnormal integrin alphavbeta3 aggregates and no osteoclasts, seems to be unique. Two subjects were compound heterozygotes for TCIRG1 defects; both had CD14 cells that attached to bone but did not acidify attachments; cell fusion and attachment occurred, however, in RANKL and CSF-1. This is consistent with TCIRG1, essential for H+-ATPase assembly at the ruffled border. A compound heterozygote for CLCN7 defects had CD14 cells that fused in vitro, attached to bone, and secreted acid, TRACP, and cathepsin K. However, lacunae were shallow and retained demineralized matrix. This suggests that CLCN7 may not limit H+-ATPase activity as hypothesized, but may be involved in control of organic matrix degradation or removal.
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Affiliation(s)
- Harry C Blair
- Department of Pathology, University of Pittsburgh, Veteran's Affairs Medical Center, Pittsburgh, Pennsylvania 15261, USA.
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Cao L, Bu R, Oakley JI, Kalla SE, Blair HC. Estrogen receptor-beta modulates synthesis of bone matrix proteins in human osteoblast-like MG63 cells. J Cell Biochem 2003; 89:152-64. [PMID: 12682916 DOI: 10.1002/jcb.10486] [Citation(s) in RCA: 37] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Estrogens have complex effects on the skeleton, including regulation of modeling and maintenance of bone mass, which vary with cell type and developmental stage. Osteoblasts are key regulators of skeletal matrix synthesis and degradation. However, whether osteocytes, osteoblasts or earlier progenitors mediate estrogen effects, and the importance of estrogen receptors (ERs) alpha and beta, remain unclear. To address estrogen response in human cells closely related to secretory osteoblasts, we studied MG63 cells with ERalpha or ERbeta reduced to low levels by stable transfection of antisense plasmids. Collagen and alkaline phosphatase expression increased with estrogen in wild-type and ERalpha-suppressed cells, but not in ERbeta-suppressed cells. Matrix secretion occurs as osteoblasts cease dividing, and, in keeping with this, cell proliferation was reduced by estrogen except in ERbeta-antisense cells. No effects of estrogen on wild type or ER-suppressed cells were seen in expression of BMP 2, the BMP antagonist noggin, or Indian hedgehog, products that regulate differentiation of osteoblasts. In contrast to expectations that estrogen would modulate bone degradation, RANKL, CSF-1, and osteoprotegerin did not respond measurably to estrogen, regardless of ER status. In keeping with this result, estrogen response was not observed in assays of osteoclast development from CD14 cells supported by wild-type or ER-silenced MG63 cells. Since estrogens are major regulators of bone degradation in vivo, estrogen effects on osteoclasts may depend on interaction with stimuli present in bone but absent in the model studied. cDNA hybridization showed that additional estrogen-binding proteins including ERRalpha and BCAR3 were expressed by MG63, but estrogen effects in ERbeta-silenced cells were small, so these proteins are either minor regulators in MG63 cells, or act in concert with stimuli in addition to estrogen. We conclude that, in the MG63 cell line, estrogen increases synthesis of matrix proteins via ERbeta, and that, in the absence of additional stimuli, these cells are not major mediators of estrogen effects on osteoclast differentiation. Further, ERalpha is probably much more important in earlier stages of skeletal development, such as growth plate response, than in osteoblasts.
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Affiliation(s)
- Lihuan Cao
- Department of Pathology, University of Pittsburgh School of Medicine, PA 15243, USA
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