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Kralova K, Vrtelka O, Fouskova M, Smirnova TA, Michalkova L, Hribek P, Urbanek P, Kuckova S, Setnicka V. Comprehensive spectroscopic, metabolomic, and proteomic liquid biopsy in the diagnostics of hepatocellular carcinoma. Talanta 2024; 270:125527. [PMID: 38134814 DOI: 10.1016/j.talanta.2023.125527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Revised: 11/30/2023] [Accepted: 12/04/2023] [Indexed: 12/24/2023]
Abstract
Liquid biopsy is a very topical issue in clinical diagnostics research nowadays. In this study, we explored and compared various analytical approaches to blood plasma analysis. Finally, we proposed a comprehensive procedure, which, thanks to the utilization of multiple analytical techniques, allowed the targeting of various biomolecules in blood plasma reflecting diverse biological processes underlying disease development. The potential of such an approach, combining proteomics, metabolomics, and vibrational spectroscopy along with preceding blood plasma fractionation, was demonstrated on blood plasma samples of patients suffering from hepatocellular carcinoma in cirrhotic terrain (n = 20) and control subjects with liver cirrhosis (n = 20) as well as healthy subjects (n = 20). Most of the applied methods allowed the classification of the samples with an accuracy exceeding 80.0 % and therefore have the potential to be used as a stand-alone method in clinical diagnostics. Moreover, a final panel of 48 variables obtained by a combination of the utilized analytical methods enabled the discrimination of the hepatocellular carcinoma samples from cirrhosis with 94.3 % cross-validated accuracy. Thus, this study, although limited by the cohort size, clearly demonstrated the benefit of the multimethod approach in clinical diagnosis.
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Affiliation(s)
- Katerina Kralova
- Department of Analytical Chemistry, Faculty of Chemical Engineering, University of Chemistry and Technology, Prague, Technicka 5, 166 28, Prague 6, Czech Republic
| | - Ondrej Vrtelka
- Department of Analytical Chemistry, Faculty of Chemical Engineering, University of Chemistry and Technology, Prague, Technicka 5, 166 28, Prague 6, Czech Republic
| | - Marketa Fouskova
- Department of Analytical Chemistry, Faculty of Chemical Engineering, University of Chemistry and Technology, Prague, Technicka 5, 166 28, Prague 6, Czech Republic
| | - Tatiana Anatolievna Smirnova
- Department of Biochemistry and Microbiology, Faculty of Food and Biochemical Technology, University of Chemistry and Technology, Prague, Technicka 5, 166 28, Prague 6, Czech Republic
| | - Lenka Michalkova
- Department of Analytical Chemistry, Faculty of Chemical Engineering, University of Chemistry and Technology, Prague, Technicka 5, 166 28, Prague 6, Czech Republic; Department of Analytical Chemistry, Institute of Chemical Process Fundamentals of the CAS, Rozvojova 135, 165 02, Prague 6, Czech Republic
| | - Petr Hribek
- Military University Hospital Prague, Department of Medicine 1st Faculty of Medicine Charles University and Military University Hospital Prague, U Vojenske Nemocnice 1200, 169 02, Prague 6, Czech Republic; Department of Internal Medicine, Faculty of Military Health Sciences in Hradec Kralove, University of Defense, Trebesska 1575, 500 01, Hradec Kralove, Czech Republic
| | - Petr Urbanek
- Military University Hospital Prague, Department of Medicine 1st Faculty of Medicine Charles University and Military University Hospital Prague, U Vojenske Nemocnice 1200, 169 02, Prague 6, Czech Republic
| | - Stepanka Kuckova
- Department of Biochemistry and Microbiology, Faculty of Food and Biochemical Technology, University of Chemistry and Technology, Prague, Technicka 5, 166 28, Prague 6, Czech Republic
| | - Vladimir Setnicka
- Department of Analytical Chemistry, Faculty of Chemical Engineering, University of Chemistry and Technology, Prague, Technicka 5, 166 28, Prague 6, Czech Republic.
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Kounatidis D, Vallianou NG, Poulaki A, Evangelopoulos A, Panagopoulos F, Stratigou T, Geladari E, Karampela I, Dalamaga M. ApoB100 and Atherosclerosis: What's New in the 21st Century? Metabolites 2024; 14:123. [PMID: 38393015 PMCID: PMC10890411 DOI: 10.3390/metabo14020123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 02/08/2024] [Accepted: 02/09/2024] [Indexed: 02/25/2024] Open
Abstract
ApoB is the main protein of triglyceride-rich lipoproteins and is further divided into ApoB48 in the intestine and ApoB100 in the liver. Very low-density lipoprotein (VLDL) is produced by the liver, contains ApoB100, and is metabolized into its remnants, intermediate-density lipoprotein (IDL) and low-density lipoprotein (LDL). ApoB100 has been suggested to play a crucial role in the formation of the atherogenic plaque. Apart from being a biomarker of atherosclerosis, ApoB100 seems to be implicated in the inflammatory process of atherosclerosis per se. In this review, we will focus on the structure, the metabolism, and the function of ApoB100, as well as its role as a predictor biomarker of cardiovascular risk. Moreover, we will elaborate upon the molecular mechanisms regarding the pathophysiology of atherosclerosis, and we will discuss the disorders associated with the APOB gene mutations, and the potential role of various drugs as therapeutic targets.
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Affiliation(s)
- Dimitris Kounatidis
- Second Department of Internal Medicine, Hippokration General Hospital, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece
| | - Natalia G Vallianou
- Department of Internal Medicine, Evangelismos General Hospital, 10676 Athens, Greece
| | - Aikaterini Poulaki
- Hematology Unit, Second Department of Internal Medicine, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece
| | | | - Fotis Panagopoulos
- Department of Internal Medicine, Evangelismos General Hospital, 10676 Athens, Greece
| | - Theodora Stratigou
- Department of Endocrinology and Metabolism, Evangelismos General Hospital, 10676 Athens, Greece
| | - Eleni Geladari
- Department of Internal Medicine, Evangelismos General Hospital, 10676 Athens, Greece
| | - Irene Karampela
- Second Department of Critical Care, Attikon General University Hospital, Medical School, National and Kapodistrian University of Athens, 12462 Athens, Greece
| | - Maria Dalamaga
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
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Jiang Y, Chen R, Xu S, Ding Y, Zhang M, Bao M, He B, Li S. Endocrine and metabolic factors and the risk of idiopathic pulmonary fibrosis: a Mendelian randomization study. Front Endocrinol (Lausanne) 2024; 14:1321576. [PMID: 38260151 PMCID: PMC10801027 DOI: 10.3389/fendo.2023.1321576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 12/15/2023] [Indexed: 01/24/2024] Open
Abstract
Background Previous observational studies have investigated the association between endocrine and metabolic factors and idiopathic pulmonary fibrosis (IPF), yet have produced inconsistent results. Therefore, it is imperative to employ the Mendelian randomization (MR) analysis method to conduct a more comprehensive investigation into the impact of endocrine and metabolic factors on IPF. Methods The instrumental variables (IVs) for 53 endocrine and metabolic factors were sourced from publicly accessible genome-wide association study (GWAS) databases, with GWAS summary statistics pertaining to IPF employed as the dependent variables. Causal inference analysis encompassed the utilization of three methods: inverse-variance weighted (IVW), weighted median (WM), and MR-Egger. Sensitivity analysis incorporated the implementation of MR-PRESSO and leave-one-out techniques to identify potential pleiotropy and outliers. The presence of horizontal pleiotropy and heterogeneity was evaluated through the MR-Egger intercept and Cochran's Q statistic, respectively. Results The IVW method results reveal correlations between 11 traits and IPF. After correcting for multiple comparisons, seven traits remain statistically significant. These factors include: "Weight" (OR= 1.44; 95% CI: 1.16, 1.78; P=8.71×10-4), "Body mass index (BMI)" (OR= 1.35; 95% CI: 1.13, 1.62; P=1×10-3), "Whole body fat mass" (OR= 1.40; 95% CI: 1.14, 1.74; P=1.72×10-3), "Waist circumference (WC)" (OR= 1.54; 95% CI: 1.16, 2.05; P=3.08×10-3), "Trunk fat mass (TFM)" (OR=1.35; 95% CI: 1.10,1.65; P=3.45×10-3), "Body fat percentage (BFP)" (OR= 1.55; 95% CI: 1.15,2.08; P=3.86×10-3), "Apoliprotein B (ApoB)" (OR= 0.78; 95% CI: 0.65,0.93; P=5.47×10-3). Additionally, the sensitivity analysis results confirmed the reliability of the MR results. Conclusion The present study identified causal relationships between seven traits and IPF. Specifically, ApoB exhibited a negative impact on IPF, while the remaining six factors demonstrated a positive impact. These findings offer novel insights into the underlying etiopathological mechanisms associated with IPF.
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Affiliation(s)
- Yan Jiang
- School of Basic Medicine, Changsha Medical University, Changsha, China
- The Hunan Provincial Key Laboratory of the TCM Agricultural Biogenomics, Changsha Medical University, Changsha, China
- Hunan Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, School of Pharmaceutical Science, Changsha Medical University, Changsha, China
| | - Rumeng Chen
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Shuling Xu
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Yining Ding
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Mengling Zhang
- School of Stomatology, Changsha Medical University, Changsha, China
| | - Meihua Bao
- The Hunan Provincial Key Laboratory of the TCM Agricultural Biogenomics, Changsha Medical University, Changsha, China
- Hunan Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, School of Pharmaceutical Science, Changsha Medical University, Changsha, China
| | - Binsheng He
- The Hunan Provincial Key Laboratory of the TCM Agricultural Biogenomics, Changsha Medical University, Changsha, China
| | - Sen Li
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
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Fermented Rhus Verniciflua Stokes Extract Alleviates Nonalcoholic Fatty Liver through the AMPK/SREBP1/PCSK9 Pathway in HFD-Induced Nonalcoholic Fatty Liver Animal Model. APPLIED SCIENCES-BASEL 2020. [DOI: 10.3390/app10196833] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Background: We have previously reported the anti-hepatic lipogenic effect of fermented Rhus verniciflua stokes extract (FRVE) in an oleic-acid-treated HepG2 cell model. Methods: Herein, we advanced our understanding and evaluated the impact of FRVE in HFD-fed C57BL/6 mice using an animal model of nonalcoholic fatty liver disease (NAFLD). Milk thistle extract was used as a positive control to compare the effects of FRVE. Results: FRVE decreased body weight, intra-abdominal fat weight, and liver weight. Furthermore, FRVE decreased HFD-induced elevated serum levels of ALT, AST, TC, and TG, and downregulated the increase in hepatic lipid accumulation and TG levels. FRVE reduced hepatic SREBP-1, PCSK-9, SREBP-2, and ApoB mRNA levels. IHC data showed that FRVE reduced the levels of nucleic SREBP-1, increased the levels of LDLR, and upregulated the expression of p-AMPK. Conclusion: Overall, these results demonstrate the anti-hepatic lipidemic effect of FRVE in an animal model. These findings are consistent with our previous study and strongly suggest that FRVE exerts anti-hepatic lipogenic effects by activating AMPK.
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Wang J, Zhu W, Huang S, Xu L, Miao M, Wu C, Yu C, Li Y, Xu C. Serum apoB levels independently predict the development of non-alcoholic fatty liver disease: A 7-year prospective study. Liver Int 2017; 37:1202-1208. [PMID: 28106941 DOI: 10.1111/liv.13363] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2016] [Accepted: 01/08/2017] [Indexed: 02/06/2023]
Abstract
BACKGROUND & AIMS Cross-sectional studies have shown that apolipoprotein B (apoB) is positively associated with the prevalence of non-alcoholic fatty liver disease (NAFLD). This study aimed to investigate the prospective relationship between the serum apoB levels and the development of NAFLD in a Chinese population. METHODS A cohort of 7077 initially NAFLD-free participants was enrolled in this prospectively study. The incidence of NAFLD was calculated among participants with different baseline serum apoB quintiles. Cox proportional hazards regression analyses were conducted to calculate the risks for incident NAFLD. RESULTS During 41 555 person-year follow-ups, 1139 incident NAFLD cases were identified. The baseline apoB levels were linear and positively correlated with NAFLD incidence. The incidence was 16.99, 22.63, 24.73, 37.51 and 42.77 per 1000 person-year follow-up for participants with baseline apoB levels in quintiles 1-5, respectively. Compared with participants with baseline apoB levels in quintile 1, the hazard ratios (95% confidence interval) for incident NAFLD were 1.353 (1.100-1.663), 1.482 (1.207-1.820), 2.232 (1.832-2.720) and 2.543 (2.082-3.106) for participants with baseline apoB levels in quintile 2-5, respectively. The hazard ratios were attenuated but remained statistically significant after adjusting for age, gender, body mass index and variables associated with metabolic syndrome. CONCLUSION Elevated serum apoB levels independently predict an increased risk for incident NAFLD.
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Affiliation(s)
- Jinghua Wang
- Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, China
| | - Wanlin Zhu
- Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Department of Gastroenterology, Lishui Central Hospital, Lishui, China
| | - Shujun Huang
- Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Lei Xu
- Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Department of Gastroenterology, Ningbo First Hospital, Ningbo, China
| | - Min Miao
- Department of Internal Medicine, Zhenhai Lianhua Hospital, Ningbo, China
| | - Chenjiao Wu
- Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Chaohui Yu
- Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, China
| | - Youming Li
- Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, China
| | - Chengfu Xu
- Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, China
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