RNA-Seq Analysis of Clonal Hematopoiesis (CHIP) Blood Leukocytes Shows Dysregulation of Neutrophil / Innate Immunity-Related Genes
Notice bibliographique
Résumé
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.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».