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1.
Immunity ; 55(1): 65-81.e9, 2022 01 11.
Artículo en Inglés | MEDLINE | ID: mdl-34767747

RESUMEN

Antigenic stimulation promotes T cell metabolic reprogramming to meet increased biosynthetic, bioenergetic, and signaling demands. We show that the one-carbon (1C) metabolism enzyme methylenetetrahydrofolate dehydrogenase 2 (MTHFD2) regulates de novo purine synthesis and signaling in activated T cells to promote proliferation and inflammatory cytokine production. In pathogenic T helper-17 (Th17) cells, MTHFD2 prevented aberrant upregulation of the transcription factor FoxP3 along with inappropriate gain of suppressive capacity. MTHFD2 deficiency also promoted regulatory T (Treg) cell differentiation. Mechanistically, MTHFD2 inhibition led to depletion of purine pools, accumulation of purine biosynthetic intermediates, and decreased nutrient sensor mTORC1 signaling. MTHFD2 was also critical to regulate DNA and histone methylation in Th17 cells. Importantly, MTHFD2 deficiency reduced disease severity in multiple in vivo inflammatory disease models. MTHFD2 is thus a metabolic checkpoint to integrate purine metabolism with pathogenic effector cell signaling and is a potential therapeutic target within 1C metabolism pathways.


Asunto(s)
Inflamación/inmunología , Diana Mecanicista del Complejo 1 de la Rapamicina/metabolismo , Metilenotetrahidrofolato Deshidrogenasa (NADP)/metabolismo , Purinas/biosíntesis , Linfocitos T Reguladores/inmunología , Células Th17/inmunología , Animales , Diferenciación Celular , Citocinas/metabolismo , Metilación de ADN , Modelos Animales de Enfermedad , Humanos , Mediadores de Inflamación/metabolismo , Activación de Linfocitos , Metilenotetrahidrofolato Deshidrogenasa (NADP)/genética , Ratones , Ratones Transgénicos , Mutación/genética , Transducción de Señal
2.
Sci Immunol ; 8(79): eabq0178, 2023 01 13.
Artículo en Inglés | MEDLINE | ID: mdl-36638190

RESUMEN

T cells in systemic lupus erythematosus (SLE) exhibit multiple metabolic abnormalities. Excess iron can impair mitochondria and may contribute to SLE. To gain insights into this potential role of iron in SLE, we performed a CRISPR screen of iron handling genes on T cells. Transferrin receptor (CD71) was identified as differentially critical for TH1 and inhibitory for induced regulatory T cells (iTregs). Activated T cells induced CD71 and iron uptake, which was exaggerated in SLE-prone T cells. Cell surface CD71 was enhanced in SLE-prone T cells by increased endosomal recycling. Blocking CD71 reduced intracellular iron and mTORC1 signaling, which inhibited TH1 and TH17 cells yet enhanced iTregs. In vivo treatment reduced kidney pathology and increased CD4 T cell production of IL-10 in SLE-prone mice. Disease severity correlated with CD71 expression on TH17 cells from patients with SLE, and blocking CD71 in vitro enhanced IL-10 secretion. T cell iron uptake via CD71 thus contributes to T cell dysfunction and can be targeted to limit SLE-associated pathology.


Asunto(s)
Lupus Eritematoso Sistémico , Receptores de Transferrina , Linfocitos T Reguladores , Animales , Ratones , Interleucina-10/metabolismo , Lupus Eritematoso Sistémico/metabolismo , Receptores de Transferrina/metabolismo , Linfocitos T Reguladores/metabolismo , Humanos
3.
J Immunother Cancer ; 8(2)2020 07.
Artículo en Inglés | MEDLINE | ID: mdl-32747470

RESUMEN

BACKGROUND: Immune checkpoint inhibitors (ICIs) have transformed treatment for melanoma, but identifying reliable biomarkers of response and effective modifiable lifestyle factors has been challenging. Obesity has been correlated with improved responses to ICI, although the association of body composition measures (muscle, fat, etc) with outcomes remains unknown. METHODS: We performed body composition analysis using Slice-o-matic software on pretreatment CT scans to quantify skeletal muscle index (SMI=skeletal muscle area/height2), skeletal muscle density (SMD), skeletal muscle gauge (SMG=SMI × SMD), and total adipose tissue index (TATI=subcutaneous adipose tissue area + visceral adipose tissue area/height2) of each patient at the third lumbar vertebrae. We then correlated these measures to response, progression-free survival (PFS), overall survival (OS), and toxicity. RESULTS: Among 287 patients treated with ICI, body mass index was not associated with clinical benefit or toxicity. In univariable analyses, patients with sarcopenic obesity had inferior PFS (HR 1.4, p=0.04). On multivariable analyses, high TATI was associated with inferior PFS (HR 1.7, p=0.04), which was particularly strong in women (HR 2.1, p=0.03). Patients with intermediate TATI and high SMG had the best outcomes, whereas those with low SMG/high TATI had inferior PFS and OS (p=0.02 for both PFS and OS). CONCLUSIONS: Body composition analysis identified several features that correlated with improved clinical outcomes, although the associations were modest. As with other studies, we identified sex-specific associations that warrant further study.


Asunto(s)
Composición Corporal/efectos de los fármacos , Antígeno CTLA-4/antagonistas & inhibidores , Inmunoterapia/métodos , Melanoma/tratamiento farmacológico , Femenino , Humanos , Masculino , Melanoma/mortalidad , Persona de Mediana Edad , Supervivencia sin Progresión , Resultado del Tratamiento
4.
Eur J Cancer ; 135: 211-220, 2020 08.
Artículo en Inglés | MEDLINE | ID: mdl-32599411

RESUMEN

AIM: Antibodies to programmed death-1 receptor and its ligand (anti-PD-1/PD-L1) produce durable responses in many cancers. However, the long-term effects of anti-PD-1/PD-L1 blockade are not well defined. We identified the toxicities, health outcomes and health-related quality of life (HRQoL) amongst long-term survivors treated with anti-PD-1/PD-L1. METHODS: We assessed 217 patients who received anti-PD-1/PD-L1 for melanoma, renal cell carcinoma or non-small-cell lung carcinoma between 2009 and 2017, with survival greater than two years after treatment. Patient and tumour characteristics, immune-related adverse events (irAEs), cardiometabolic parameters (glucose, blood pressure, body mass index [BMI]), body composition (using automated body composition analyser, computed tomography and Slice-o-matic software) and HRQoL outcomes were tracked. RESULTS: Among the included patients, most were men (70.3%) and at anti-PD-1/PD-L1 initiation had an average age of 61.0 years and median BMI of 28.5. Median overall survival was not reached; 33 (15.2%) died during the follow-up primarily from progressive cancer (n = 28). At the last follow-up, most patients' Eastern Cooperative Oncology Group performance status was 0 (38%) or 1 (41%). There was no difference in blood pressure, glucose or BMI from baseline to two years after treatment initiation. Body composition showed increased adiposity (p = 0.05), skeletal muscle mass (p = 0.03) and skeletal muscle gauge (p = 0.04). We observed chronic irAEs at the last follow-up including hypothyroidism (10.6%), arthritis (3.2%), adrenal insufficiency (3.2%) and neuropathy (2.8%). New diagnoses of type 2 diabetes (6.5%) and hypertension (6.0%) were observed, with uncertain relationship to anti-PD-1/PD-L1. Patient-reported outcomes compared favourably with cancer and general populations, although younger age (p = 0.003) and need for subsequent therapy (p = 0.03) were associated with worse HRQoL outcomes. CONCLUSION: Durable responses to anti-PD-1/PD-L1 therapy and favourable HRQoL outcomes are encouraging. Chronic events may be more common than previously thought although no clear chronic adverse cardiometabolic effects were observed.


Asunto(s)
Antineoplásicos Inmunológicos/efectos adversos , Antígeno B7-H1/antagonistas & inhibidores , Composición Corporal , Inhibidores de Puntos de Control Inmunológico/efectos adversos , Neoplasias/tratamiento farmacológico , Receptor de Muerte Celular Programada 1/antagonistas & inhibidores , Calidad de Vida , Sobrevivientes , Anciano , Antígeno B7-H1/inmunología , Femenino , Estado Funcional , Humanos , Masculino , Persona de Mediana Edad , Neoplasias/inmunología , Neoplasias/mortalidad , Neoplasias/patología , Estado Nutricional , Receptor de Muerte Celular Programada 1/inmunología , Supervivencia sin Progresión , Estudios Retrospectivos , Factores de Tiempo
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