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Prakasham K, Gurrani S, Wu CF, Wu MT, Hsieh TJ, Peng CY, Huang PC, Krishnan A, Tsai PC, Lin YC, Tsai B, Lin YC, Ponnusamy VK. Rapid identification and monitoring of cooking oil fume-based toxic volatile organic aldehydes in lung tissue for predicting exposure level and cancer risks. CHEMOSPHERE 2023; 339:139704. [PMID: 37536542 DOI: 10.1016/j.chemosphere.2023.139704] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 07/08/2023] [Accepted: 07/30/2023] [Indexed: 08/05/2023]
Abstract
Cooking oil fumes (COFs) comprised of a mixture of cancer-causing volatile organic aldehydes (VOAs), particularly trans, trans-2,4-decadienal (t,t-DDE), 4-hydroxy-hexenal (4-HHE), and 4-hydroxy-nonenal (4-HNE). Monitoring toxic VOAs levels in people exposed to different cooking conditions is vital to predicting the cancer risk. For this purpose, we developed a fast tissue extraction (FaTEx) technique combined with UHPLC-MS/MS to monitor three toxic VOAs in mice lung tissue samples. FaTEx pre-treatment protocol was developed by combining two syringes for extraction and clean-up process. The various procedural steps affecting the FaTEx sample pre-treatment process were optimized to enhance the target VOAs' extraction efficiency from the sample matrix. Under the optimal experimental conditions, results exhibit good correlation coefficient values > 0.99, detection limits were between 0.5-3 ng/g, quantification limits were between 1-10 ng/g, and the matrix effect was <18.1%. Furthermore, the extraction recovery values of the spiked tissue exhibited between 88.9-109.6% with <8.6% of RSD. Cooking oil fume (containing t,t-DDE) treated mice at various time durations were sacrificed to validate the developed technique, and it was found that t,t-DDE concentrations were from 14.8 to 33.8 μg/g. The obtained results were found to be a fast, reliable, and semi-automated sample pre-treatment technique with good extraction efficiency, trace level detection limit, and less matrix effect. Therefore, this method can be applied as a potential analytical method to determine the VOAs in humans exposed to long-term cooking oil fumes.
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Affiliation(s)
- Karthikeyan Prakasham
- PhD Program in Environmental and Occupational Medicine, College of Medicine, Kaohsiung Medical University (KMU), Kaohsiung City, 807, Taiwan; Research Center for Precision Environmental Medicine, Kaohsiung Medical University (KMU), Kaohsiung City, 807, Taiwan
| | - Swapnil Gurrani
- PhD Program in Environmental and Occupational Medicine, College of Medicine, Kaohsiung Medical University (KMU), Kaohsiung City, 807, Taiwan; Research Center for Precision Environmental Medicine, Kaohsiung Medical University (KMU), Kaohsiung City, 807, Taiwan
| | - Chia-Fang Wu
- Research Center for Precision Environmental Medicine, Kaohsiung Medical University (KMU), Kaohsiung City, 807, Taiwan; International Master Program of Translational Medicine, College of Engineering and Science, National United University, Miaoli, Taiwan.
| | - Ming-Tsang Wu
- PhD Program in Environmental and Occupational Medicine, College of Medicine, Kaohsiung Medical University (KMU), Kaohsiung City, 807, Taiwan; Research Center for Precision Environmental Medicine, Kaohsiung Medical University (KMU), Kaohsiung City, 807, Taiwan; Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University (KMU), Kaohsiung City, 807, Taiwan; Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung City, 807, Taiwan; Department of Family Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Tusty-Jiuan Hsieh
- Research Center for Precision Environmental Medicine, Kaohsiung Medical University (KMU), Kaohsiung City, 807, Taiwan; Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University (KMU), Kaohsiung City, 807, Taiwan
| | - Chiung-Yu Peng
- Research Center for Precision Environmental Medicine, Kaohsiung Medical University (KMU), Kaohsiung City, 807, Taiwan; Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung City, 807, Taiwan
| | - Po-Chin Huang
- Research Center for Precision Environmental Medicine, Kaohsiung Medical University (KMU), Kaohsiung City, 807, Taiwan; National Institute of Environmental Health Sciences, National Health Research Institutes (NHRI), Miaoli County, 35053, Taiwan; Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan
| | - Anbarasu Krishnan
- Department of Computational Biology, Institute of Bioinformatics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, 602105, India
| | - Pei-Chien Tsai
- Department of Computational Biology, Institute of Bioinformatics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, 602105, India; Department of Medicinal and Applied Chemistry, Kaohsiung Medical University (KMU), Kaohsiung City, 807, Taiwan
| | - Yu-Chia Lin
- Research and Development Division, Great Engineering Technology (GETECH) Corporation, No.392, Yucheng Rd., Zuoying District., Kaohsiung City, 813, Taiwan
| | - Bongee Tsai
- Research and Development Division, Great Engineering Technology (GETECH) Corporation, No.392, Yucheng Rd., Zuoying District., Kaohsiung City, 813, Taiwan
| | - Yuan-Chung Lin
- Center for Emerging Contaminants Research, National Sun Yat-Sen University, Kaohsiung City, 804, Taiwan; Institute of Environmental Engineering, National Sun Yat-Sen University, Kaohsiung City, 804, Taiwan
| | - Vinoth Kumar Ponnusamy
- PhD Program in Environmental and Occupational Medicine, College of Medicine, Kaohsiung Medical University (KMU), Kaohsiung City, 807, Taiwan; Research Center for Precision Environmental Medicine, Kaohsiung Medical University (KMU), Kaohsiung City, 807, Taiwan; Department of Medicinal and Applied Chemistry, Kaohsiung Medical University (KMU), Kaohsiung City, 807, Taiwan; Center for Emerging Contaminants Research, National Sun Yat-Sen University, Kaohsiung City, 804, Taiwan; Department of Medical Research, Kaohsiung Medical University Hospital (KMUH), Kaohsiung Medical University, Kaohsiung City, 807, Taiwan.
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Bioanalytical and Mass Spectrometric Methods for Aldehyde Profiling in Biological Fluids. TOXICS 2019; 7:toxics7020032. [PMID: 31167424 PMCID: PMC6630274 DOI: 10.3390/toxics7020032] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Revised: 05/07/2019] [Accepted: 05/22/2019] [Indexed: 12/11/2022]
Abstract
Human exposure to aldehydes is implicated in multiple diseases including diabetes, cardiovascular diseases, neurodegenerative disorders (i.e., Alzheimer’s and Parkinson’s Diseases), and cancer. Because these compounds are strong electrophiles, they can react with nucleophilic sites in DNA and proteins to form reversible and irreversible modifications. These modifications, if not eliminated or repaired, can lead to alteration in cellular homeostasis, cell death and ultimately contribute to disease pathogenesis. This review provides an overview of the current knowledge of the methods and applications of aldehyde exposure measurements, with a particular focus on bioanalytical and mass spectrometric techniques, including recent advances in mass spectrometry (MS)-based profiling methods for identifying potential biomarkers of aldehyde exposure. We discuss the various derivatization reagents used to capture small polar aldehydes and methods to quantify these compounds in biological matrices. In addition, we present emerging mass spectrometry-based methods, which use high-resolution accurate mass (HR/AM) analysis for characterizing carbonyl compounds and their potential applications in molecular epidemiology studies. With the availability of diverse bioanalytical methods presented here including simple and rapid techniques allowing remote monitoring of aldehydes, real-time imaging of aldehydic load in cells, advances in MS instrumentation, high performance chromatographic separation, and improved bioinformatics tools, the data acquired enable increased sensitivity for identifying specific aldehydes and new biomarkers of aldehyde exposure. Finally, the combination of these techniques with exciting new methods for single cell analysis provides the potential for detection and profiling of aldehydes at a cellular level, opening up the opportunity to minutely dissect their roles and biological consequences in cellular metabolism and diseases pathogenesis.
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Li Q, Tomcik K, Zhang S, Puchowicz MA, Zhang GF. Dietary regulation of catabolic disposal of 4-hydroxynonenal analogs in rat liver. Free Radic Biol Med 2012; 52:1043-53. [PMID: 22245097 PMCID: PMC3289253 DOI: 10.1016/j.freeradbiomed.2011.12.022] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2011] [Revised: 12/17/2011] [Accepted: 12/21/2011] [Indexed: 12/16/2022]
Abstract
Our previous work in perfused rat livers has demonstrated that 4-hydroxynonenal (HNE) is catabolized predominantly via β oxidation. Therefore, we hypothesized that perturbations in β oxidation, such as diet-altered fatty acid oxidation activity, could lead to changes in HNE levels. To test our hypothesis, we (i) developed a simple and sensitive GC/MS method combined with mass isotopomer analysis to measure HNE and HNE analogs, 4-oxononenal (ONE) and 1,4-dihydroxynonene (DHN), and (ii) investigated the effects of four diets (standard, low-fat, ketogenic, and high-fat mix) on HNE, ONE, and DHN concentrations in rat livers. Our results showed that livers from rats fed the ketogenic diet or high-fat mix diet had high ω-6 polyunsaturated fatty acid concentrations and markers of oxidative stress. However, high concentrations of HNE (1.6 ± 0.5 nmol/g) and ONE (0.9 ± 0.2 nmol/g) were found only in livers from rats fed the high-fat mix diet. Livers from rats fed the ketogenic diet had low HNE (0.8 ± 0.1 nmol/g) and ONE (0.4 ± 0.07 nmol/g), similar to rats fed the standard diet. A possible explanation is that the predominant pathway of HNE catabolism (i.e., β oxidation) is activated in the liver by the ketogenic diet. This is consistent with a 10-fold decrease in malonyl-CoA in livers from rats fed a ketogenic diet compared to a standard diet. The accelerated catabolism of HNE lowers HNE and HNE analog concentrations in livers from rats fed the ketogenic diet. On the other hand, rats fed the high-fat mix diet had high rates of lipid synthesis and low rates of fatty acid oxidation, resulting in the slowing down of the catabolic disposal of HNE and HNE analogs. Thus, decreased HNE catabolism from a high-fat mix diet induces high concentrations of HNE and HNE analogs. The results of this work suggest a potential causal relationship to metabolic syndrome induced by Western diets (i.e., high-fat mix), as well as the effects of a ketogenic diet on the catabolism of lipid peroxidation products in liver.
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Affiliation(s)
- Qingling Li
- Department of Nutrition, Case Western Reserve University, Cleveland OH 44106
| | - Kristyen Tomcik
- Department of Nutrition, Case Western Reserve University, Cleveland OH 44106
| | - Shenghui Zhang
- Department of Nutrition, Case Western Reserve University, Cleveland OH 44106
| | | | - Guo-Fang Zhang
- Department of Nutrition, Case Western Reserve University, Cleveland OH 44106
- Corresponding author: Guo-Fang Zhang, Department of Nutrition, School of Medicine, Case Western Reserve University, 10900 Euclid Ave., W-G48, Cleveland, OH, 44106-4954, Tel.: 216 368 6533, Fax: 216 368 6560,
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