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Enregistrement W2915866752 · doi:10.1182/blood-2018-99-116128

RNA-Seq Analysis of Clonal Hematopoiesis (CHIP) Blood Leukocytes Shows Dysregulation of Neutrophil / Innate Immunity-Related Genes

2018· article· en· W2915866752 sur OpenAlexaffabout
Elina K. Cook, Richard N. Armstrong, Eshita Sharma, Brooke Snetsinger, Jacqueline Boultwood, Rena Buckstein, Andrea Pellagatti, Michael J. Rauh

Notice bibliographique

RevueBlood · 2018
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensSunnybrook Health Science CentreHealth Sciences CentreQueen's University
Organismes subventionnairesnon disponible
Mots-clésBiologyMyeloidHaematopoiesisTranscriptomeGeneImmunologyInnate immune systemGene expressionCancer researchGeneticsStem cellImmune system

Résumé

récupéré en direct d'OpenAlex

Abstract BACKGROUND: Clonal hematopoiesis of indeterminate potential (CHIP) involves the peripheral blood (PB) expansion of progeny of a hematopoietic stem or progenitor cell that is somatically mutated in a hematological cancer-associated gene (most often TET2 or DNMT3A). CHIP associates with comorbid diseases of aging such as cardiovascular disease. Murine knockout (Tet2 or Dnmt3a) and engraftment models of CHIP develop exacerbated cardiovascular disease and their mutated myeloid cells are more reactive to inflammatory stimuli. However, whether blood leukocytes in human CHIP are hyper-inflammatory remains speculative. We recently found people with CHIP have higher serum levels of certain pro-inflammatory cytokines and chemokines than controls (Cook et al, ASH 2017). Thus, we hypothesized that PB effector cells in people with CHIP will be enriched for pro-inflammatory gene expression and pathways. METHODS: The presence of CHIP (variant allele frequency, VAF>0.02) was determined in the whole PB of 30 hematologically healthy adults >65 years old at Baycrest and Sunnybrook Health Sciences Centers (Toronto, Canada) using Ion Proton DNA sequencing targeting 48 commonly mutated genes in myeloid neoplasms. RNA-Seq (HISeq 4000, Illumina, 75bp paired-end sequencing reads with a depth of >50 million/sample) was performed on corresponding ribo-depleted whole PB samples (PAXgene), reads were aligned with HISAT2, gene counts quantified with featureCount, and analyzed with DESeq2. FDR<0.1 was used as a cutoff for differential gene expression analyses. Correlations with clinical and comorbidity data were tested with logistic regressions. RESULTS: People with CHIP ("CHIP+", n: males=8, females=13; TET2=12, DNMT3A=8, SF3B1=1; VAF range=0.03-0.40) compared to those without CHIP ("CHIP-", n: males=3, females=6) had six significantly downregulated genes (e.g. GZMM) and 10 upregulated genes (e.g. DEFA4, LTF, MPO, see Figure 1A). Hierarchical clustering of these top genes yielded two groups, one consisting of most of the CHIP- cases (8/9 cases, in a cluster of 11, see Figure 1A). The three CHIP+ cases that clustered with CHIP- had VAFs lower than 0.15. Of the 16 differentially regulated genes between CHIP+ and CHIP-, nine were recognized by reactome, and most overlapped (≥6 genes) with pathways involving neutrophil degranulation and innate immunity (Figure 1B). DEFA4, LTF, CRISP3, BPI and MPO specifically encode components of neutrophil granules, with various anti-microbial and homeostatic functions. However, mean neutrophil counts (4.6±1.6 vs. 4.4±1.6 10^9/L for CHIP+ vs. CHIP-) and neutrophil to lymphocyte ratios (3.2±1.4 vs. 2.8±2.1 in CHIP+ vs. CHIP-) did not significantly differ between the groups. This suggests that mutations of CHIP may affect neutrophil/immune-related function or phenotype, potentially contributing to comorbid disease. For example, greater expression of alpha-defensins (i.e. DEFA4) in CHIP may involve dysregulated granulocyte maturation and inflammatory function as seen in myelodysplasia (Droin et al, 2010 Blood), suggesting a potential dysregulation of inflammation and immunity. Higher VAFs (>0.15) associated with higher ECOG scores (poorer overall daily functioning: odds ratio=44, 95% CI=4-500, p=0.002), suggesting that larger proportions of mutated cells may have greater effects on gene expression profiles. Accordingly, there were linear correlations between the VAFs of the mutated cell populations and the levels of differentially expressed genes (Figure 1C). CONCLUSIONS: The connection between mutant clones of CHIP and disease remains poorly elucidated. For the first time, to our knowledge, we studied gene expression in CHIP leukocytes. We report that the most prominent gene expression differences between people with CHIP and those without CHIP involve neutrophil degranulation and the innate immune system. Additionally, higher VAFs may have a greater influence on gene expression levels and health than lower VAFs. We plan to validate these candidate genes in a larger cohort. These novel data warrant further investigation of the cellular pathways perturbed by somatic mutations of CHIP. Disclosures Buckstein: Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,008

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,018
Tête enseignante GPT0,279
Écart entre enseignants0,261 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2018
Routes d'admission2
Résumé présentoui

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