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1.
Nature ; 618(7964): 365-373, 2023 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-37225978

RESUMO

Birth presents a metabolic challenge to cardiomyocytes as they reshape fuel preference from glucose to fatty acids for postnatal energy production1,2. This adaptation is triggered in part by post-partum environmental changes3, but the molecules orchestrating cardiomyocyte maturation remain unknown. Here we show that this transition is coordinated by maternally supplied γ-linolenic acid (GLA), an 18:3 omega-6 fatty acid enriched in the maternal milk. GLA binds and activates retinoid X receptors4 (RXRs), ligand-regulated transcription factors that are expressed in cardiomyocytes from embryonic stages. Multifaceted genome-wide analysis revealed that the lack of RXR in embryonic cardiomyocytes caused an aberrant chromatin landscape that prevented the induction of an RXR-dependent gene expression signature controlling mitochondrial fatty acid homeostasis. The ensuing defective metabolic transition featured blunted mitochondrial lipid-derived energy production and enhanced glucose consumption, leading to perinatal cardiac dysfunction and death. Finally, GLA supplementation induced RXR-dependent expression of the mitochondrial fatty acid homeostasis signature in cardiomyocytes, both in vitro and in vivo. Thus, our study identifies the GLA-RXR axis as a key transcriptional regulatory mechanism underlying the maternal control of perinatal cardiac metabolism.


Assuntos
Ácidos Graxos , Glucose , Coração , Leite Humano , Ácido gama-Linolênico , Feminino , Humanos , Recém-Nascido , Gravidez , Cromatina/genética , Ácidos Graxos/metabolismo , Ácido gama-Linolênico/metabolismo , Ácido gama-Linolênico/farmacologia , Regulação da Expressão Gênica/efeitos dos fármacos , Glucose/metabolismo , Coração/efeitos dos fármacos , Coração/embriologia , Coração/crescimento & desenvolvimento , Homeostase , Técnicas In Vitro , Leite Humano/química , Mitocôndrias/efeitos dos fármacos , Mitocôndrias/metabolismo , Miócitos Cardíacos/efeitos dos fármacos , Miócitos Cardíacos/metabolismo , Receptores X de Retinoides/metabolismo , Fatores de Transcrição/metabolismo
3.
Einstein (Sao Paulo) ; 22: eAO0652, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-39140573

RESUMO

OBJECTIVE: To evaluate deaths, hospitalizations, and persistence of symptoms in patients with COVID-19 after infection in an outpatient setting during the first COVID-19 wave in Brazil. METHODS: This prospective cohort was between April 2020 and February 2021. Hospitalized or non-hospitalized COVID-19 patients until five days after symptom onset were included. The outcomes measured were incidence of death, hospitalization, and persistence of more than two symptoms 60 days after discharge. RESULTS: Out of 1,198 patients enrolled in the study, 66.7% were hospitalized. A total of 289 patients died (1 [0.3%] non-hospitalized and 288 [36%] hospitalized). At 60 days, patients non-hospitalized during admission had more persistent symptoms (16.2%) compared to hospitalized (37.1%). The COVID-19 severity variables associated with the persistence of two or more symptoms were increased age (OR= 1.03; p=0.015), respiratory rate at hospital admission (OR= 1.11; p=0.005), length of hospital stay of more than 60 days (OR= 12.24; p=0.026), and need for intensive care unit admission (OR= 2.04; p=0.038). CONCLUSION: COVID-19 survivors who were older, tachypneic at admission, had a hospital length of stay >60 days, and were admitted to the intensive care unit had more persistent symptoms than patients who did not require hospitalization in the early COVID-19 waves.ClinicalTrials.gov Identifier: NCT04479488.


Assuntos
COVID-19 , Hospitalização , Adulto , Idoso , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Assistência Ambulatorial/estatística & dados numéricos , Brasil/epidemiologia , Estudos de Coortes , COVID-19/mortalidade , COVID-19/epidemiologia , Hospitalização/estatística & dados numéricos , Tempo de Internação/estatística & dados numéricos , Pacientes Ambulatoriais/estatística & dados numéricos , Estudos Prospectivos , Índice de Gravidade de Doença
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