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Record W4389233361 · doi:10.1182/blood-2023-189163

Chronic TNF in the Aging Microenvironment Exacerbates <i>TET2-</i>loss-of-Function Myeloid Expansion

2023· article· en· W4389233361 on OpenAlexaffabout
Candice Quin, Erica N. DeJong, Amy J. M. McNaughton, Marco M. Buttigieg, Salman Basrai, Sagi Abelson, Michael J. Rauh, Dawn M. E. Bowdish

Bibliographic record

VenueBlood · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHistone Deacetylase Inhibitors Research
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health NetworkQueen's UniversityOntario Institute for Cancer ResearchMcMaster University
Fundersnot available
KeywordsMedicineMyeloidFunction (biology)Tumor necrosis factor alphaCancer researchInternal medicineImmunologyBiologyCell biology

Abstract

fetched live from OpenAlex

Introduction: Age-associated TET2 somatic mutations impart an intrinsic hematopoietic stem cell (HSC) advantage and contribute to the phenomenon of clonal hematopoiesis of indeterminate potential (CHIP). Individuals with TET2-mutantCHIP have a higher risk of developing myeloid neoplasms and other age-related conditions, including heart, lung, liver, kidney and infectious disease, and have increased risk of all-cause mortality. Despite its role in unhealthy aging, the extrinsic mechanisms driving TET2-mutant CHIP clonal expansion remain unclear. We previously showed an environment containing TNF favours TET2-mutant HSC expansion in vitro. We therefore postulated that age-related increases in TNF also provide an advantage to HSC and progeny with TET2-mutations in vivo. Methods: All human and mouse studies met ethics approval. C57Bl/6 background wildtype (WT), TNF-α knockout ( TNF-/-), Tet2 hematopoietic knockout (Vav1-iCre-mediated; Tet2-/-) and floxed control mice ( Tet2f/f) mice were obtained from the Jackson Laboratory. Young (6-mo [n=9]) and old (18-22 mo [n=9]) WT mice, and old TNF-/- mice (n=7) were subjected to nonirradiative myeloablation with busulfan, and retro-orbital injections of 8x10 6 cells/ml T-cell-depleted bone marrow (BM), equally harvested from 4-mo-old WT CD45.1 (n=5) and Tet2-/- CD45.2 donor mice (n=5). Flow cytometry was used to confirm and monitor engraftment. Mice were harvested 8 weeks post-transplant for analysis of HSC, progenitor, monocyte and neutrophil populations, and cytokine analyses. Consenting human research participants diagnosed with rheumatoid arthritis (RA) were recruited from the Greater Hamilton Area (Ontario, Canada) from 2016-2018. Blood draws occurred prior to any immunomodulatory treatment (baseline), and at 3- and 6-months following treatment with Adalimumab (Humira®), an anti-TNF agent. CHIP status was determined with our successful 48-gene, targeted, Ion-Torrent based sequencing approach to isolated genomic DNA from PBMC. Confirmation of calls and increased sensitivity to detect clones with VAF < 0.02 employed our established single molecule molecular inversion probes (smMIP)-targeted genomic capture technique and high-depth (47,500X avg. coverage) paired-end sequencing, employing high-stringency filters for error-suppression. Statistical analyses were performed in GraphPad Prism V9.2 or R 4.1.2. Results: 1. Mixed BM chimeric mice of WT and TNF -/- genotypes reconstituted with WT CD45.1 + and Tet2 -/- CD45.2 + HSC showed that age-associated increases in TNF significantly increased by 2- to 2.5-fold the proportions of HSC in old recipient mice, with myeloid lineage skewing (2- to 2.5-fold more granulocyte-monocyte, monocyte-dendritic and common monocyte progenitor cells in BM, and dramatic expansion of Tet2-/- monocytes and neutrophils in blood). This aberrant myelomonocytic advantage was mitigated in old TNF -/- recipient mice, suggesting that TNF signalling in the BM is essential for Tet2-mutant myeloid expansion. 2. Age-associated TNF predisposed Tet2-/- HSC to the development of Ly6C high inflammatory monocytes, including increased intracellular and serum TNF levels, further exacerbating an inflammatory environment in favor of Tet2-mutantexpansion. 3. Examination of human RA patients (n=7; avg. age 57y) with serial PBMC sampling revealed one patient with CHIP driven by CBL and PPM1D variants, with a 32% reduction in clone size between 3 and 6 months of anti-TNF therapy (adalimumab). Two additional variants were detected at baseline in this RA patient, TP53 R196* (VAF = 1.34%) and ASXL1 P689L (VAF = 3.13%), but these were not detected at 3- and 6-months post-treatment even with high-depth, error suppression sequencing. Two additional patients had detectible low-level CH clones prior to anti-TNF treatment - one with a STAG2 R1033Q variant at baseline (VAF = 1.65%) and the other with a TET2 baseline E798K variant (VAF = 1.68%) - but not detected during anti-TNF treatment. Conclusions: We present novel findings that TNF in the aging BM environment has a causal role in driving TET2-mutant CHIP in vivo, and the first examination of the impact of TNF blockade on CH dynamics in humans, suggesting promise for reducing clonal burden. Larger, prospective studies are required to confirm these findings and to determine if inflammatory cytokine blockade may improve CHIP-comorbid conditions and myeloid cancer risk.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.010
GPT teacher head0.249
Teacher spread0.239 · 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 designBench or experimental
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".

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Citations1
Published2023
Admission routes2
Has abstractyes

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