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Longitudinal profiling of clonal hematopoiesis provides insight into clonal dynamics
BACKGROUND: Clonal hematopoiesis of indeterminate potential (CHIP), the age-related expansion of mutant hematopoietic stem cells, confers risk for multiple diseases of aging including hematologic cancer and cardiovascular disease. Whole-exome or genome sequencing can detect CHIP, but due to those as...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128083/ https://www.ncbi.nlm.nih.gov/pubmed/35610705 http://dx.doi.org/10.1186/s12979-022-00278-9 |
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author | Uddin, Md Mesbah Zhou, Ying Bick, Alexander G. Burugula, Bala Bharathi Jaiswal, Siddhartha Desai, Pinkal Honigberg, Michael C. Love, Shelly-Ann Barac, Ana Hayden, Kathleen M. Manson, JoAnn E. Whitsel, Eric A. Kooperberg, Charles Natarajan, Pradeep Reiner, Alexander P. Kitzman, Jacob O. |
author_facet | Uddin, Md Mesbah Zhou, Ying Bick, Alexander G. Burugula, Bala Bharathi Jaiswal, Siddhartha Desai, Pinkal Honigberg, Michael C. Love, Shelly-Ann Barac, Ana Hayden, Kathleen M. Manson, JoAnn E. Whitsel, Eric A. Kooperberg, Charles Natarajan, Pradeep Reiner, Alexander P. Kitzman, Jacob O. |
author_sort | Uddin, Md Mesbah |
collection | PubMed |
description | BACKGROUND: Clonal hematopoiesis of indeterminate potential (CHIP), the age-related expansion of mutant hematopoietic stem cells, confers risk for multiple diseases of aging including hematologic cancer and cardiovascular disease. Whole-exome or genome sequencing can detect CHIP, but due to those assays’ high cost, most population studies have been cross-sectional, sequencing only a single timepoint per individual. RESULTS: We developed and validated a cost-effective single molecule molecular inversion probe sequencing (smMIPS) assay for detecting CHIP, targeting the 11 most frequently mutated genes in CHIP along with 4 recurrent mutational hotspots. We sequenced 548 multi-timepoint samples collected from 182 participants in the Women’s Health Initiative cohort, across a median span of 16 years. We detected 178 driver mutations reaching variant allele frequency ≥ 2% in at least one timepoint, many of which were detectable well below this threshold at earlier timepoints. The majority of clonal mutations (52.1%) expanded over time (with a median doubling period of 7.43 years), with the others remaining static or decreasing in size in the absence of any cytotoxic therapy. CONCLUSIONS: Targeted smMIPS sequencing can sensitively measure clonal dynamics in CHIP. Mutations that reached the conventional threshold for CHIP (2% frequency) tended to continue growing, indicating that after CHIP is acquired, it is generally not lost. The ability to cost-effectively profile CHIP longitudinally will enable future studies to investigate why some CHIP clones expand, and how their dynamics relate to health outcomes at a biobank scale. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12979-022-00278-9. |
format | Online Article Text |
id | pubmed-9128083 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91280832022-05-25 Longitudinal profiling of clonal hematopoiesis provides insight into clonal dynamics Uddin, Md Mesbah Zhou, Ying Bick, Alexander G. Burugula, Bala Bharathi Jaiswal, Siddhartha Desai, Pinkal Honigberg, Michael C. Love, Shelly-Ann Barac, Ana Hayden, Kathleen M. Manson, JoAnn E. Whitsel, Eric A. Kooperberg, Charles Natarajan, Pradeep Reiner, Alexander P. Kitzman, Jacob O. Immun Ageing Research BACKGROUND: Clonal hematopoiesis of indeterminate potential (CHIP), the age-related expansion of mutant hematopoietic stem cells, confers risk for multiple diseases of aging including hematologic cancer and cardiovascular disease. Whole-exome or genome sequencing can detect CHIP, but due to those assays’ high cost, most population studies have been cross-sectional, sequencing only a single timepoint per individual. RESULTS: We developed and validated a cost-effective single molecule molecular inversion probe sequencing (smMIPS) assay for detecting CHIP, targeting the 11 most frequently mutated genes in CHIP along with 4 recurrent mutational hotspots. We sequenced 548 multi-timepoint samples collected from 182 participants in the Women’s Health Initiative cohort, across a median span of 16 years. We detected 178 driver mutations reaching variant allele frequency ≥ 2% in at least one timepoint, many of which were detectable well below this threshold at earlier timepoints. The majority of clonal mutations (52.1%) expanded over time (with a median doubling period of 7.43 years), with the others remaining static or decreasing in size in the absence of any cytotoxic therapy. CONCLUSIONS: Targeted smMIPS sequencing can sensitively measure clonal dynamics in CHIP. Mutations that reached the conventional threshold for CHIP (2% frequency) tended to continue growing, indicating that after CHIP is acquired, it is generally not lost. The ability to cost-effectively profile CHIP longitudinally will enable future studies to investigate why some CHIP clones expand, and how their dynamics relate to health outcomes at a biobank scale. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12979-022-00278-9. BioMed Central 2022-05-24 /pmc/articles/PMC9128083/ /pubmed/35610705 http://dx.doi.org/10.1186/s12979-022-00278-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Uddin, Md Mesbah Zhou, Ying Bick, Alexander G. Burugula, Bala Bharathi Jaiswal, Siddhartha Desai, Pinkal Honigberg, Michael C. Love, Shelly-Ann Barac, Ana Hayden, Kathleen M. Manson, JoAnn E. Whitsel, Eric A. Kooperberg, Charles Natarajan, Pradeep Reiner, Alexander P. Kitzman, Jacob O. Longitudinal profiling of clonal hematopoiesis provides insight into clonal dynamics |
title | Longitudinal profiling of clonal hematopoiesis provides insight into clonal dynamics |
title_full | Longitudinal profiling of clonal hematopoiesis provides insight into clonal dynamics |
title_fullStr | Longitudinal profiling of clonal hematopoiesis provides insight into clonal dynamics |
title_full_unstemmed | Longitudinal profiling of clonal hematopoiesis provides insight into clonal dynamics |
title_short | Longitudinal profiling of clonal hematopoiesis provides insight into clonal dynamics |
title_sort | longitudinal profiling of clonal hematopoiesis provides insight into clonal dynamics |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128083/ https://www.ncbi.nlm.nih.gov/pubmed/35610705 http://dx.doi.org/10.1186/s12979-022-00278-9 |
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