<p>Dear Editor,</p><p>The key findings suggest an association between DNA methylation variability and aberrant balance of Th17/Treg cells and T-cell differentiation in children with aplastic anaemia (AA), which may be related to activation of the JAK/STAT signalling pathway. The CAMK4 subtype in CD4+ naïve T cells provided potential evidence that supports the ‘locust’ theory in the progression of pediatric AA and possibly novel targets for immunotherapy in the future.</p><p>AA is considered as an immune-mediated bone marrow failure syndrome and exhibits an inexplicable peak of age distribution in children.<span><sup>1, 2</sup></span> The incidence in East Asia is two to three times that of Western countries, suggesting significant differences in genetic background.<span><sup>3</sup></span> T-cell differentiation, which plays a critical role in disease pathogenesis, is governed by both genetic and epigenetic programs.<span><sup>4</sup></span> So far, the role of DNA methylation in pediatric AA and its crosstalk with aberrant T- cell differentiation remains unexplored.</p><p>We recruited 83 patients with acquired AA and 22 controls (<18 years) between January 2016 and October 2024. Methods were detailed in the Supporting Information. This study was approved by the institutional review board of Shanghai Children's Medical Center and conducted in accordance with the Declaration of Helsinki.</p><p>We performed flow cytometry in 76 pediatric AA patients and 20 healthy controls to detect the populations of T cells, B cells, dendritic cells (DCs), and natural killer (NK) cells and their subtypes (Figure 1, Table S1, Figure S1a). The average age was 8.3 years for both AA patients (range 2–17) and controls (range 5–12; Table S2). Among the patients, 23 (30%) had very severe AA (VSAA), 20 (26%) had severe AA (SAA), and the remaining 33 (43%) had non-severe AA (NSAA).</p><p>The percentage of T cells in lymphocytes was 78.6% ± 7.8% versus 74.0% ± 5.4% in pediatric AA patients versus the controls (<i>p</i> = .015) and showed a trend of increase with disease severity (Figure 2A). The absolute T-cell count did not differ in the two cohorts (Figure S1b). The percentage and absolute NK cell count were lower in AA patients than in controls (percentage: 7.1% ± 5.0% vs. 11.6% ± 4.8%, <i>p</i> = .0004; absolute count: 100 ± 87 × 10<sup>6</sup>/L vs. 198 ± 115 × 10<sup>6</sup>/L, <i>p</i> < .0001; Figure 2B,C). The percentage and absolute count in B cells and DCs did not differ between the two cohorts (Figure S1c,d and Figure 2D). The Th17/Treg ratio was 1.2 ± 1.2 versus.8 ± .3 in patients and controls, respectively (<i>p</i> = .022) and showed a trend of decrease with disease severity (Figure 2F and Figure S1e). There was no significant difference in CD4/CD8 ratio and percentages of naïve T cells (TN), central memory T cells (TCM), effector memory T cells (TEM), and effector T cells (Teff) subsets between patients and controls (Figure S1f,g).</p><p>We performed
{"title":"DNA methylation variability in pediatric aplastic anaemia contributes to T-cell differentiation","authors":"Junchen Lai, Fangli Chen, Yan Miao, Manpin Zhang, Hua Zhu, Huanhuan Liang, Liting Yang, Yingwen Zhang, Dabin Tang, Chengjuan Luo, Changying Luo, Yanxin Li, Xiaodong Wang, Yu Liu, Jing Chen, Xia Qin, Xinan Wang","doi":"10.1002/ctm2.70588","DOIUrl":"10.1002/ctm2.70588","url":null,"abstract":"<p>Dear Editor,</p><p>The key findings suggest an association between DNA methylation variability and aberrant balance of Th17/Treg cells and T-cell differentiation in children with aplastic anaemia (AA), which may be related to activation of the JAK/STAT signalling pathway. The CAMK4 subtype in CD4+ naïve T cells provided potential evidence that supports the ‘locust’ theory in the progression of pediatric AA and possibly novel targets for immunotherapy in the future.</p><p>AA is considered as an immune-mediated bone marrow failure syndrome and exhibits an inexplicable peak of age distribution in children.<span><sup>1, 2</sup></span> The incidence in East Asia is two to three times that of Western countries, suggesting significant differences in genetic background.<span><sup>3</sup></span> T-cell differentiation, which plays a critical role in disease pathogenesis, is governed by both genetic and epigenetic programs.<span><sup>4</sup></span> So far, the role of DNA methylation in pediatric AA and its crosstalk with aberrant T- cell differentiation remains unexplored.</p><p>We recruited 83 patients with acquired AA and 22 controls (<18 years) between January 2016 and October 2024. Methods were detailed in the Supporting Information. This study was approved by the institutional review board of Shanghai Children's Medical Center and conducted in accordance with the Declaration of Helsinki.</p><p>We performed flow cytometry in 76 pediatric AA patients and 20 healthy controls to detect the populations of T cells, B cells, dendritic cells (DCs), and natural killer (NK) cells and their subtypes (Figure 1, Table S1, Figure S1a). The average age was 8.3 years for both AA patients (range 2–17) and controls (range 5–12; Table S2). Among the patients, 23 (30%) had very severe AA (VSAA), 20 (26%) had severe AA (SAA), and the remaining 33 (43%) had non-severe AA (NSAA).</p><p>The percentage of T cells in lymphocytes was 78.6% ± 7.8% versus 74.0% ± 5.4% in pediatric AA patients versus the controls (<i>p</i> = .015) and showed a trend of increase with disease severity (Figure 2A). The absolute T-cell count did not differ in the two cohorts (Figure S1b). The percentage and absolute NK cell count were lower in AA patients than in controls (percentage: 7.1% ± 5.0% vs. 11.6% ± 4.8%, <i>p</i> = .0004; absolute count: 100 ± 87 × 10<sup>6</sup>/L vs. 198 ± 115 × 10<sup>6</sup>/L, <i>p</i> < .0001; Figure 2B,C). The percentage and absolute count in B cells and DCs did not differ between the two cohorts (Figure S1c,d and Figure 2D). The Th17/Treg ratio was 1.2 ± 1.2 versus.8 ± .3 in patients and controls, respectively (<i>p</i> = .022) and showed a trend of decrease with disease severity (Figure 2F and Figure S1e). There was no significant difference in CD4/CD8 ratio and percentages of naïve T cells (TN), central memory T cells (TCM), effector memory T cells (TEM), and effector T cells (Teff) subsets between patients and controls (Figure S1f,g).</p><p>We performed ","PeriodicalId":10189,"journal":{"name":"Clinical and Translational Medicine","volume":"16 1","pages":""},"PeriodicalIF":6.8,"publicationDate":"2026-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12783688/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145932243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}