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1.
Int J Mol Sci ; 23(22)2022 Nov 09.
Artigo em Inglês | MEDLINE | ID: mdl-36430257

RESUMO

The objective of this study was to determine the influence of sex and strain on the dysregulation of trace element concentration and associative gene expression due to diet induced obesity in adipose tissue and the liver. Male and female C57BL/6J (B6J) and DBA/2J (D2J) were randomly assigned to a normal-fat diet (NFD) containing 10% kcal fat/g or a mineral-matched high-fat diet (HFD) containing 60% kcal fat/g for 16 weeks. Liver and adipose tissue were assessed for copper, iron, manganese, and zinc concentrations and related changes in gene expression. Notable findings include three-way interactions of diet, sex, and strain amongst adipose tissue iron concentrations (p = 0.005), adipose hepcidin expression (p = 0.007), and hepatic iron regulatory protein (IRP) expression (p = 0.012). Cd11c to Cd163 ratio was increased in adipose tissue due to HFD amongst all biological groups except B6J females, for which tissue iron concentrations were reduced due to HFD (p = 0.002). Liver divalent metal transporter 1 (DMT-1) expression was increased due to HFD amongst B6J males (p < 0.005) and females (p < 0.004), which coincides with the reduction in hepatic iron concentrations found in these biological groups (p < 0.001). Sex, strain, and diet affected trace element concentration, the expression of genes that regulate trace element homeostasis, and the expression of macrophages that contribute to tissue iron-handling in adipose tissue. These findings suggest that sex and strain may be key factors that influence the adaptive capacity of iron mismanagement in adipose tissue and its subsequent consequences, such as insulin resistance.


Assuntos
Dieta Hiperlipídica , Oligoelementos , Camundongos , Animais , Masculino , Feminino , Dieta Hiperlipídica/efeitos adversos , Oligoelementos/metabolismo , Tecido Adiposo/metabolismo , Fígado/metabolismo , Camundongos Endogâmicos C57BL , Ferro/metabolismo , Expressão Gênica
2.
Oncology (Williston Park) ; 35(8): 462-470, 2021 08 11.
Artigo em Inglês | MEDLINE | ID: mdl-34398590

RESUMO

Objectives: COVID-19 created unexpected delays in oncologic treatment. This study sought to assess the volume of missed cancer-related services due to the pandemic. Methods: This case-controlled trial evaluated more than 345,000 oncologic clinic, lab, and radiation appointments from January 1, 2019, through December 31, 2020, and surgery appointments from January 1, 2019, through October 31, 2020. All patients at the Seidman Cancer Center with a cancer diagnosis based on a comprehensive list of 2178 International Classification of Diseases, Ninth Edition (ICD-9) and ICD-10 codes were included in the analysis. Subgroup analyses based on age, race, and sex were also performed. Results: Clinic, lab, and surgical visit cancellations increased by 4.20% (P <.001), 4.84% (P <.001), and 5.22% (P <.001), respectively. In the first 10 months of 2020, there were 703 (9.2%) fewer surgeries compared with the same time period in 2019. The following cancellation rates peaked in March 2020: clinic visits (26.53%), labs (43.66%), surgery (34.00%). Radiation oncology (12.53%) cancellations peaked in April 2020. Prior to the emergence of COVID-19, the group aged 0 to 39 years had the highest clinic cancellation rate (17.85%) compared with patients aged 40 to 64 years (15.95%) and 65 years and older (14.52%; P <.001). Men cancelled (15.63%) significantly more often than women (14.93%; P <.001) in 2019. This reversed during the pandemic: Women (19.56%) cancelled more frequently than men (19.20%; P <.036). Conclusions: There was a large increase in cancelled oncologic care in 2020, which has implications for delayed diagnosis and treatment. This was especially true for patients older than 65 years and for women. These delays could result in patients presenting with more advanced disease, complicating morbidities, and ultimately worse long-term outcomes.


Assuntos
Agendamento de Consultas , COVID-19/epidemiologia , Oncologia/tendências , Aceitação pelo Paciente de Cuidados de Saúde/estatística & dados numéricos , Tempo para o Tratamento/tendências , Centros Médicos Acadêmicos , Adulto , Idoso , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Encaminhamento e Consulta/tendências
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