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Record W3194823833 · doi:10.1101/2021.08.22.21262430

<i>TP53-</i> mediated clonal hematopoiesis confers increased risk for incident peripheral artery disease

2021· preprint· en· W3194823833 on OpenAlexaff
Seyedeh M. Zekavat, Vanesa Viana‐Huete, Saman Doroodgar Jorshery, María A. Zuriaga, Md Mesbah Uddin, Mark Trinder, Kaavya Paruchuri, Nuria Matesanz, Virginia Zorita, Alba Ferrer-Pérez, Marta Amorós-Pérez, Scott M. Damrauer, Christie M. Ballantyne, Abhishek Niroula, Christopher J. Gibson, James P. Pirruccello, Gabriel K. Griffin, Benjamin L. Ebert, Peter Libby, Valentı́n Fuster, Hongyu Zhao, Marzyeh Ghassemi, Pradeep Natarajan, Alexander G. Bick, José J. Fuster, Derek Klarin

Bibliographic record

VenuemedRxiv · 2021
Typepreprint
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsUniversity of British ColumbiaUniversity of Toronto
FundersGenentechNational Institutes of HealthEsperion TherapeuticsEuropean Research Area Network on Cardiovascular DiseasesCentro Nacional de Investigaciones CardiovascularesBanco Bilbao Vizcaya ArgentariaFondation LeducqSanofiKowa CompanyRegeneron PharmaceuticalsBoston Scientific CorporationFundación Bancaria Caixa d'Estalvis i Pensions de BarcelonaAmerican Heart AssociationFundación BBVAMinisterio de Ciencia e InnovaciónMassachusetts General HospitalXBiotechBrigham and Women's HospitalNational Heart, Lung, and Blood InstitutePfizerInstituto de Salud Carlos IIIAmgenAstraZeneca
KeywordsHaematopoiesisCoronary artery diseaseMedicineBone marrowCancer researchInternal medicineImmunologyBiologyStem cellGenetics

Abstract

fetched live from OpenAlex

Abstract Background Somatic mutations in blood indicative of clonal hematopoiesis of indeterminate potential (CHIP), particularly in DNMT3A , TET2 , and JAK2 , are associated with an increased risk of hematologic malignancy, coronary artery disease, and all-cause mortality. However, whether CHIP is associated with increased risk of peripheral artery disease (PAD) remains unknown. In addition, chemotherapy frequently causes mutations in DNA Damage Repair (DDR) genes TP53 and PPM1D , and whether CHIP caused by somatic mutations in DDR genes results in increased risk of atherosclerosis is unclear. We sought to test whether CHIP, and CHIP caused by DDR genes, associates with incident peripheral artery disease (PAD) and atherosclerosis. Methods We identified CHIP among 50,122 exome sequences in individuals from UK and Mass General Brigham Biobanks and tested CHIP status (N=2,851) with incident PAD and atherosclerosis across multiple arterial beds. To mimic the human scenario of clonal hematopoiesis and test whether the expansion of p53-deficient hematopoietic cells contributes to atherosclerosis, a competitive bone marrow transplantation (BMT) strategy was used to generate atherosclerosis-prone Ldlr -/- chimeric mice carrying 20% Trp53 -/- hematopoietic cells (20% KO-BMT mice). We then evaluated aortic plaque burden and plaque macrophage accumulation 12 weeks after grafting. Results CHIP associated with incident PAD (HR 1.7; P=2.2×10 - 5 ) and atherosclerosis in multiple beds (HR 1.3; P=9.7×10 -5 ), with increased risk among individuals with DDR CHIP (HR 2.0; P=0.0084). Among atherosclerosis-prone Ldlr null mice, the p53 -/- 20% KO-BMT mice demonstrated increased aortic plaque size (p=0.013) and accumulation of p53-/- plaque macrophages (P<0.001), driven by an abundance of p53-deficient plaque macrophages. The expansion of p53-deficient cells did not affect the expression of the pro-inflammatory cytokines IL-6 and IL-1β in the atherosclerotic aortic wall. Conclusions Our findings highlight the role of CHIP as a broad driver of atherosclerosis across the entire arterial system, with evidence of increased plaque among p53 -/- 20% KO-BMT mice via expansion of plaque macrophages. These observations provide new insight into the link between CHIP and cardiovascular disease, and lend human genetic support to the concept that post-cytotoxic chemotherapy patients may benefit from surveillance for atherosclerotic conditions in addition to therapy-related myeloid neoplasms.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.294
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2021
Admission routes1
Has abstractyes

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