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1.
Sci Transl Med ; 14(627): eabi4888, 2022 01 12.
Artigo em Inglês | MEDLINE | ID: mdl-35020411

RESUMO

Individuals with Down syndrome show cellular and clinical features of dysregulated aging of the immune system, including a shift from naïve to memory T cells and increased incidence of autoimmunity. However, a quantitative understanding of how various immune compartments change with age in Down syndrome remains lacking. Here, we performed deep immunophenotyping of a cohort of individuals with Down syndrome across the life span, selecting for autoimmunity-free individuals. We simultaneously interrogated age- and sex-matched healthy controls and people with type 1 diabetes as a representative autoimmune disease. We built an analytical software, IMPACD (Iterative Machine-assisted Permutational Analysis of Cytometry Data), that enabled us to rapidly identify many features of immune dysregulation in Down syndrome shared with other autoimmune diseases. We found quantitative and qualitative dysregulation of naïve CD4+ and CD8+ T cells in individuals with Down syndrome and identified interleukin-6 as a candidate driver of some of these changes, thus extending the consideration of immunopathologic cytokines in Down syndrome beyond interferons. We used immune cellular composition to generate three linear models of aging (immune clocks) trained on control participants. All three immune clocks demonstrated advanced immune aging in individuals with Down syndrome. One of these clocks, informed by Down syndrome­relevant biology, also showed advanced immune aging in individuals with type 1 diabetes. Orthologous RNA sequencing­derived immune clocks also demonstrated advanced immune aging in individuals with Down syndrome. Together, our findings demonstrate an approach to studying immune aging in Down syndrome that may have implications in other autoimmune diseases.


Assuntos
Doenças Autoimunes , Diabetes Mellitus Tipo 1 , Síndrome de Down , Envelhecimento , Autoimunidade/genética , Linfócitos T CD8-Positivos , Síndrome de Down/genética , Humanos , Imunofenotipagem
2.
Mol Cell Biol ; 41(9): e0008521, 2021 08 24.
Artigo em Inglês | MEDLINE | ID: mdl-34124936

RESUMO

Immune health requires innate and adaptive immune cells to engage precisely balanced pro- and anti-inflammatory forces. We employ the concept of chemical immunophenotypes to classify small molecules functionally or mechanistically according to their patterns of effects on primary innate and adaptive immune cells. The high-specificity, low-toxicity cyclin-dependent kinase 8 (CDK8) inhibitor 16-didehydro-cortistatin A (DCA) exerts a distinct tolerogenic profile in both innate and adaptive immune cells. DCA promotes regulatory T cells (Treg) and Th2 differentiation while inhibiting Th1 and Th17 differentiation in both murine and human cells. This unique chemical immunophenotype led to mechanistic studies showing that DCA promotes Treg differentiation in part by regulating a previously undescribed CDK8-GATA3-FOXP3 pathway that regulates early pathways of Foxp3 expression. These results highlight previously unappreciated links between Treg and Th2 differentiation and extend our understanding of the transcription factors that regulate Treg differentiation and their temporal sequencing. These findings have significant implications for future mechanistic and translational studies of CDK8 and CDK8 inhibitors.


Assuntos
Linfócitos T CD4-Positivos/imunologia , Quinase 8 Dependente de Ciclina/antagonistas & inibidores , Fatores de Transcrição Forkhead/metabolismo , Fator de Transcrição GATA3/metabolismo , Compostos Heterocíclicos de 4 ou mais Anéis/farmacologia , Tolerância Imunológica/efeitos dos fármacos , Imunofenotipagem , Isoquinolinas/farmacologia , Adolescente , Adulto , Animais , Linfócitos T CD4-Positivos/efeitos dos fármacos , Diferenciação Celular/efeitos dos fármacos , Quinase 8 Dependente de Ciclina/metabolismo , Humanos , Imunidade Inata/efeitos dos fármacos , Camundongos Endogâmicos BALB C , Pessoa de Meia-Idade , Fosforilação/efeitos dos fármacos , Proteínas Proto-Oncogênicas c-jun/metabolismo , Fatores de Transcrição STAT/metabolismo , Transdução de Sinais/efeitos dos fármacos , Adulto Jovem
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