Linalool Mitigated High-Fat Diet–Induced Non-alcoholic Fatty Liver Disease by Regulating the Intestinal-Hepatic Axis via TGF-β/NF-kB/TLR4/ZO-1 Pathway DOI

Tamilmani Periyasamy,

V. V. Sathibabu Uddandrao,

P. Chandrasekaran

et al.

Revista Brasileira de Farmacognosia, Journal Year: 2023, Volume and Issue: 33(3), P. 617 - 628

Published: April 11, 2023

Language: Английский

Lipoprotein Combine Index as a Better Marker for NAFLD Identification Than Traditional Lipid Parameters DOI Creative Commons
Jiajun Qiu, Xin Huang,

Maobin Kuang

et al.

Diabetes Metabolic Syndrome and Obesity, Journal Year: 2024, Volume and Issue: Volume 17, P. 2583 - 2595

Published: June 1, 2024

Purpose: The association between traditional lipid parameters and non-alcoholic fatty liver disease (NAFLD) has been extensively discussed. This study aims to evaluate compare the lipoprotein combine index (LCI) [total cholesterol (TC), triglycerides (TG), low-density (LDL-C), high-density (HDL-C)] identify NAFLD. Patients Methods: analysis included 14,251 participants from NAfld in Gifu Area, Longitudinal Analysis (NAGALA). Logistic regression models were employed calculate standardized odds ratios (ORs) 95% confidence intervals (CIs) for assessing comparing of LCI with Additionally, receiver operating characteristic (ROC) curves used area under curve (AUC) identifying Results: After adjusting various confounders, we found that was positively associated NAFLD (OR=2.25, CI 1.92– 2.63), this stronger than [OR: TC1.23, TG1.73 LDL-C1.10]. Further subgroup analyses revealed other all subgroups, including men women, overweight/obese [body mass (BMI)≥ 25 kg/m 2 ] non-obese (BMI< ), older (age≥ 45 years) younger (age< participants. ROC indicated (AUC=0.8118) had significantly higher accuracy (All DeLong P < 0.05) compared (AUC: TC0.6309; TG0.7969; LDL-C0.6941); HDL-C0.7587). Sensitivity further confirmed robustness findings. Conclusion: first time a positive correlation Compared parameters, demonstrated suggesting may be better marker identification parameters. Keywords: disease, index, NAFLD,

Language: Английский

Citations

2

From MASLD to PAD: Looking for Cardiovascular Disease Starting from Metabolic Status DOI Creative Commons
Andrea Boccatonda, Damiano D’Ardes, Veronica Moronti

et al.

Medicina, Journal Year: 2024, Volume and Issue: 60(11), P. 1781 - 1781

Published: Oct. 31, 2024

Peripheral artery disease (PAD) is still the least studied and evaluated form in clinical practice among atherosclerotic pathologies, despite increased mortality comorbidities related to it. The relationship between steatotic liver an risk of cardiovascular has been extensively documented.

Language: Английский

Citations

2

Association of exposures to serum terpenes with the prevalence of dyslipidemia: a population-based analysis DOI

Yanqun Ba,

Qixin Guo,

Shasha Meng

et al.

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(54), P. 115295 - 115309

Published: Oct. 25, 2023

Language: Английский

Citations

5

Risk Factors and Prediction Models for Nonalcoholic Fatty Liver Disease Based on Random Forest DOI Open Access
Qingqun Li, Xiuli Zhang, Chuxin Zhang

et al.

Computational and Mathematical Methods in Medicine, Journal Year: 2022, Volume and Issue: 2022, P. 1 - 7

Published: Aug. 9, 2022

Objective. To establish a risk prediction model of nonalcoholic fatty liver disease (NAFLD) and provide management strategies for preventing this disease. Methods. A total 200 inpatients physical examinees were collected from the Department Gastroenterology Endocrinology Physical Examination Center. The data examination, laboratory abdominal ultrasound examination collected. All subjects randomly divided into training set (70%) verification (30%). random forest (RF) is constructed to predict occurrence NAFLD. receiver operating characteristic (ROC) curve used verify effect models. Results. number NAFLD patients was 44 out enrolled patients, cumulative incidence rate 22%. models showed that BMI, TG, HDL-C, LDL-C, ALT, SUA, MTTP mutations independent influencing factors NAFLD, all which has statistical significance ( P < 0.05 ). area under (AUC) logistic regression RF 0.940 (95% CI: 0.870~0.987) 0.945 0.899~0.994), respectively. Conclusion. This study established based on RF, good value.

Language: Английский

Citations

8

Linalool Mitigated High-Fat Diet–Induced Non-alcoholic Fatty Liver Disease by Regulating the Intestinal-Hepatic Axis via TGF-β/NF-kB/TLR4/ZO-1 Pathway DOI

Tamilmani Periyasamy,

V. V. Sathibabu Uddandrao,

P. Chandrasekaran

et al.

Revista Brasileira de Farmacognosia, Journal Year: 2023, Volume and Issue: 33(3), P. 617 - 628

Published: April 11, 2023

Language: Английский

Citations

4