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. 2023 Jun:92:104621.
doi: 10.1016/j.ebiom.2023.104621. Epub 2023 May 18.

Evolution of age-related mutation-driven clonal haematopoiesis over 20 years is associated with metabolic dysfunction in obesity

Affiliations

Evolution of age-related mutation-driven clonal haematopoiesis over 20 years is associated with metabolic dysfunction in obesity

Johanna C Andersson-Assarsson et al. EBioMedicine. 2023 Jun.

Abstract

Background: Haematopoietic clones caused by somatic mutations with ≥2% variant allele frequency (VAF) increase with age and are linked to risk of haematological malignancies and cardiovascular disease. Recent observations suggest that smaller clones (VAF<2%) are also associated with adverse outcomes. Our aims were to determine the prevalence of clonal haematopoiesis driven by clones of variable sizes in individuals with obesity treated by usual care or bariatric surgery (a treatment that improves metabolic status), and to examine the expansion of clones in relation to age and metabolic dysregulation over up to 20 years.

Methods: Clonal haematopoiesis-driver mutations (CHDMs) were identified in blood samples from participants of the Swedish Obese Subjects intervention study. Using an ultrasensitive assay, we analysed single-timepoint samples from 1050 individuals treated by usual care and 841 individuals who had undergone bariatric surgery, and multiple-timepoint samples taken over 20 years from a subset (n = 40) of the individuals treated by usual care.

Findings: In this explorative study, prevalence of CHDMs was similar in the single-timepoint usual care and bariatric surgery groups (20.6% and 22.5%, respectively, P = 0.330), with VAF ranging from 0.01% to 31.15%. Clone sizes increased with age in individuals with obesity, but not in those who underwent bariatric surgery. In the multiple-timepoint analysis, VAF increased by on average 7% (range -4% to 24%) per year and rate of clone growth was negatively associated with HDL-cholesterol (R = -0.68, 1.74 E-04).

Interpretation: Low HDL-C was associated with growth of haematopoietic clones in individuals with obesity treated by usual care.

Funding: The Swedish Research Council, The Swedish state under an agreement between the Swedish government and the county councils, the ALF (Avtal om Läkarutbildning och Forskning) agreement, The Swedish Heart-Lung Foundation, The Novo Nordisk Foundation, The European Research Council, The Netherlands Organisation for Scientific Research.

Keywords: Bariatric surgery; Clonal haematopoiesis; Clone size; HDL-Cholesterol; Insulin resistance; Obesity.

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Conflict of interest statement

Declaration of interests Dr F.M. Kristensson is supported by a grant from the Swedish State under an agreement between the Swedish government and the county councils, the ALF (Avtal om Läkarutbildning och Forskning) agreement, grant ALFGBG-970993 and has received a travel grant from the Gothenburg Society of Medicine. Ms. M. Steehouwer, Dr C Gilissen, Dr H.G. Brunner, and Dr A. Hoischen are supported by the Solve-RD project. The Solve-RD project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 779257. Dr C. Gilissen is a member of the board of the European Society of Human Genetics (ESHG) and a member of the scientific programme committee of ESHG. Dr H.G. Brunner is a co-coordinator of the Solve-RD project. Dr M.G. Netea is a scientific founder of and owns stock in Trained Therapeuticx Discovery, has received an unrestricted grant from ViiV HealthCare, and a Spinoza Grant from The Netherlands Organisation for Scientific Research. Dr B. Carlsson is employed by and owns stock in AstraZeneca. Dr L.M.S. Carlsson has received consulting fees from Johnson & Johnson. All other authors declare they have no competing interests.

Figures

Fig. 1
Fig. 1
Characteristics of the single- and multiple-timepoint groups. (a) Sex, age, and BMI distribution in the single-timepoint groups (1050 + 841 individuals). (b) Sex distribution and distribution of clinical variables at the indicated follow-up timepoints in the multiple-timepoint usual care group (40 individuals).
Fig. 2
Fig. 2
CHDM size in relation to age in the single-timepoint usual care and bariatric surgery groups. Comparison of the correlation between age and clone size (VAF) in individuals with obesity given usual care (shown in blue) and individuals with obesity that underwent bariatric surgery at least one year prior to DNA sampling (shown in orange).
Fig. 3
Fig. 3
Rate of CHDM growth in relation to age and metabolic dysfunction. (a) VAF in relation to age for the 32 most important trajectories. The average mixed linear model (MLM) regression line and equation is shown in black. All individual MLM regression lines are shown in various colours, in purple the trajectory with maximum slope and accompanying equation, in orange the trajectory with minimum slope and accompanying equation. (b) VAFs and slopes for CHDMs in DNMT3A [p.(Arg822Cys)] in 4 individuals and DNMT3A [p.(Arg882His)] in 2 individuals. (c) Heatmap of Spearman R correlations between all individual trajectory effect estimates from our MLM to averaged (based on the three first follow-up timepoints) metabolic clinical parameters. (d) Positive Spearman R correlation between individual trajectory effect estimates and insulin. (e) Positive Spearman R correlation between individual trajectory effect estimates and HOMA-index. (f) Negative Spearman R correlation between individual trajectory effect estimates and HDL-C.

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