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1.
Zhong Nan Da Xue Xue Bao Yi Xue Ban ; 49(3): 408-416, 2024 Mar 28.
Artigo em Inglês, Chinês | MEDLINE | ID: mdl-38970515

RESUMO

OBJECTIVES: The obesity rate among middle-aged and young adults in China is increasing annually, and the incidence of cardiovascular diseases is becoming more prevalent in younger populations. However, it has not yet been reported whether obesity is associated with early vascular aging (EVA). This study aims to explore the correlation between obesity and EVA in middle-aged and young adult health check-up populations, providing a reference for the prevention of cardiovascular diseases. METHODS: A total of 15 464 middle-aged and young adults aged 18-59 who completed brachial-ankle pulse wave velocity (baPWV) test in the Third Xiangya Hospital of Central South University from January to December 2020 were included. Among them, 1 965 individuals with normal blood pressure and no cardiovascular risk factors were selected as the healthy population. The baPWV thresholds for determining EVA in each age group for males and females were calculated based on the baPWV values of the healthy population. The number and percentage of individuals meeting the EVA criteria in the middle-aged and young adult health check-up populations were statistically analyzed by age and gender. The differences in obesity indicators [visceral adiposity index (VAI), body mass index (BMI), waist circumference (WC)] between the EVA and non-EVA groups for males and females were compared. Using EVA as the dependent variable, VAI, BMI, and WC were included as independent variables in a Logistic model to analyze the correlation between each obesity indicator and EVA before and after adjusting for other influencing factors. Furthermore, the correlation between each obesity indicator and EVA in each age group was analyzed. RESULTS: In the health check-up populations, the detection rate of EVA in different age groups was 1.65%-10.92% for males, and 1.16%-10.50% for females, the detection rate of EVA increased with age in both males and females. Except for the 40-<50 age group, the EVA detection rate was higher in males than in females in all other age groups. Regardless of gender, obesity indicators VAI, BMI, and WC were significantly higher in the EVA group than in the non-EVA group (all P<0.01). Before and after adjusting for other influencing factors, VAI and WC were both correlated with EVA (both P<0.05). BMI was a risk factor for EVA before adjusting for other influencing factors (P<0.01), but after adjustment, the correlation between BMI and EVA was not statistically significant (P=0.05). After adjusting for other influencing factors, the correlation between VAI and EVA was statistically significant in the 18-<40 and 50-<60 age groups (both P<0.05), while the correlation between BMI and WC with EVA was not statistically significant (both P>0.05). In the 40-<50 age group, the correlation between VAI and BMI with EVA was not statistically significant (both P>0.05), but the correlation between WC and EVA was statistically significant (P<0.01). CONCLUSIONS: VAI is closely related to the occurrence of EVA in middle-aged and young adults aged 18-<40 and 50-<60 years, while WC is closely related to the occurrence of EVA in those aged 40-<50 years.


Assuntos
Índice Tornozelo-Braço , Índice de Massa Corporal , Obesidade , Humanos , Masculino , Feminino , Adulto , Pessoa de Meia-Idade , China/epidemiologia , Adulto Jovem , Adolescente , Análise de Onda de Pulso , Doenças Cardiovasculares/etiologia , Doenças Cardiovasculares/epidemiologia , Fatores de Risco , Circunferência da Cintura , Envelhecimento/fisiologia , Adiposidade/fisiologia
2.
Pathol Res Pract ; 259: 155358, 2024 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-38820930

RESUMO

Hepatocellular carcinoma (HCC) emerges as the third leading cause of cancer mortality, contributing to approximately 830,000 deaths annually. The mechanisms driving its pathogenesis remain largely elusive. Through bioinformatic scrutiny, Mitochondrial Carrier 1 (MTCH1), a component of the mitochondrial carrier family, has been pinpointed as potentially pivotal in HCC evolution. Examination of The Cancer Genome Atlas (TCGA) database indicated a pronounced increase in MTCH1 expression within HCC tissues versus normal liver counterparts. Subsequent analyses, utilizing both Kaplan-Meier mapper and Gene Expression Profiling Interactive Analysis (GEPIA) datasets, associated elevated MTCH1 levels with reduced overall survival (OS) and disease-free survival (DFS). Complementary in vitro assessments confirmed that MTCH1 downregulation suppresses HCC cell proliferation and notably diminishes HCC xenograft tumor growth in murine models. Additional explorations, including Gene Set Enrichment Analysis (GSEA), STRING database interrogation, and quantitative PCR (qPCR) experiments, suggest MTCH1's involvement in HCC progression via the CDK-RB-E2F signaling axis. Collectively, these insights endorse MTCH1 as a promising therapeutic target for HCC, underscoring its significance in the disease's molecular framework and potential treatment innovation.


Assuntos
Biomarcadores Tumorais , Carcinoma Hepatocelular , Neoplasias Hepáticas , Animais , Humanos , Camundongos , Biomarcadores Tumorais/genética , Biomarcadores Tumorais/metabolismo , Carcinoma Hepatocelular/genética , Carcinoma Hepatocelular/patologia , Carcinoma Hepatocelular/metabolismo , Proliferação de Células/genética , Regulação Neoplásica da Expressão Gênica , Neoplasias Hepáticas/genética , Neoplasias Hepáticas/patologia , Neoplasias Hepáticas/metabolismo , Prognóstico
3.
Heliyon ; 10(10): e31399, 2024 May 30.
Artigo em Inglês | MEDLINE | ID: mdl-38813211

RESUMO

Objectives: Lung cancer is the leading cause to induce cancer-related mortality. Effective biomarkers for prediction the occurrence of lung cancer is urgently needed. Our previous studies indicated that pyroptosis-related cytokines TNF-α, IFN-γ, MIP-1α, MIP-1ß, MIP-2 and IP-10 is important to influence the efficacy of chemotherapy drug in lung cancer tissues. But the role of pyroptosis-related cytokines in prediction the occurrence of lung cancer is still unknown. Methods: Blood samples were collected from 258 lung cancer patients at different stage and 80 healthy volunteers. Serum levels of pyroptosis-related cytokines including TNF-α, IFN-γ, MIP-1α, MIP-1ß, MIP-2 and IP-10 were measured by Cytometric Bead Array (CBA). ROC curve was performed to evaluate the cut-off value and diagnosis value for prediction and diagnosis of lung cancer. Results: Compared with control group, the levels of IP-10, MIP-1α, MIP-1ß, MIP-2 and TNF-α were significantly higher in lung cancer patients (45.5 (37.1-56.7): 57.2 (43.0-76.5), 34.4 (21.8-75.2): 115.4 (96.6-191.2), 49.3 (25.6-78.7): 160.5 (124.9-218.6), 22.6 (17.8-31.2): 77.9 (50.1-186.5), 3.80 (2.3-6.2): 10.3 (5.7-16.6)), but the level of IFN-γ was decreased in the patients (12.38 (9.1-27.8): 5.9 (3.5-9.7)). All the above cytokines were significantly associated with the diagnosis of lung cancer, and the AUC values of IFN-γ, IP-10, MIP-1α, MIP-1ß, MIP-2, and TNF-α were 0.800, 0.656, 0.905, 0.921, 0.914, and 0.824. And the AUC can rise to 0.986 after combining the above factors, and the sensitivity and specificity also up to 96.7 % and 93.7 %, respectively. Additionally, TNF-α (r = 0.400, P < 0.01), MIP-2 (r = 0.343, P < 0.01), MIP-1α (r = 0.551, P < 0.01) and MIP-1ß (r = 0.403, p < 0.01) were positively associated with occurrence of lung cancer, but IFN-γ (r = -0.483, p < 0.01) was negatively associated with occurrence of lung cancer. As far as the potential of early diagnosis of lung cancer, TNF-α (AUC = 0.577), MIP-1α (AUC = 0.804) and MIP-1ß (AUC = 0.791) can predict the early stage of lung cancer, and combination of the above three cytokines has a better predictive efficiency (AUC = 0.854). Conclusion: Our study establishes a link between the levels of IP-10, MIP-1α, MIP-1ß, MIP-2, TNF-α and IFN-γ and diagnosis of lung cancer. Besides, we observed a synergistic effect of these five pyroptosis-related cytokines in diagnosing lung cancer patient, suggesting their potential as biomarkers for lung cancer diagnosis. Moreover, the combination of TNF-α, MIP-1α and MIP-1ß are also potential predictors for the early diagnosis of lung cancer.

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