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Super-Sensitive LC-MS Analyses of Exposure Biomarkers for Multiple Mycotoxins in a Rural Pakistan Population
High levels of mycotoxin contamination have been reported in various food commodities in Pakistan, however, there has been no exposure assessment study using multiple mycotoxins’ biomarkers. This study aimed to simultaneously assess the exposure to the five major mycotoxins: aflatoxin B(1) (AFB(1)),...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8950642/ https://www.ncbi.nlm.nih.gov/pubmed/35324690 http://dx.doi.org/10.3390/toxins14030193 |
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author | Xia, Lei Rasheed, Hifza Routledge, Michael N. Wu, Hang Gong, Yun Yun |
author_facet | Xia, Lei Rasheed, Hifza Routledge, Michael N. Wu, Hang Gong, Yun Yun |
author_sort | Xia, Lei |
collection | PubMed |
description | High levels of mycotoxin contamination have been reported in various food commodities in Pakistan, however, there has been no exposure assessment study using multiple mycotoxins’ biomarkers. This study aimed to simultaneously assess the exposure to the five major mycotoxins: aflatoxin B(1) (AFB(1)), deoxynivalenol (DON), fumonisin B(1) (FB(1)), ochratoxin A (OTA) and zearalenone (ZEN) in a Pakistani population using an integrated approach of human biomonitoring. Human urine samples (n = 292) were analyzed by a super-sensitive liquid-chromatography tandem mass spectrometry (LC-MS/MS) method. Rice and wheat were also collected and analyzed for mycotoxins by the LC-MS/MS method. Food consumption data were collected using a 24 h recall method. A high prevalence of urinary AFM(1) (66%, mean ± SD 20.8 ± 41.3 pg/mL) and OTA (99%, 134.7 ± 312.0 pg/mL) were found, whilst urinary DON, FB(1) and ZEN levels were low. The probable daily intake (PDI) derived from the urinary biomarkers revealed that 89% of the participants had exposure to OTA exceeding the established tolerable daily intake (TDI = 17 ng/kg bw/day). The average PDI of AFB(1) for the studied population was 43 ng/kg bw/day, with rice as the main source of AFB(1) exposure. In summary, exposure to AFB(1) and OTA are of health concern and require further management. |
format | Online Article Text |
id | pubmed-8950642 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89506422022-03-26 Super-Sensitive LC-MS Analyses of Exposure Biomarkers for Multiple Mycotoxins in a Rural Pakistan Population Xia, Lei Rasheed, Hifza Routledge, Michael N. Wu, Hang Gong, Yun Yun Toxins (Basel) Article High levels of mycotoxin contamination have been reported in various food commodities in Pakistan, however, there has been no exposure assessment study using multiple mycotoxins’ biomarkers. This study aimed to simultaneously assess the exposure to the five major mycotoxins: aflatoxin B(1) (AFB(1)), deoxynivalenol (DON), fumonisin B(1) (FB(1)), ochratoxin A (OTA) and zearalenone (ZEN) in a Pakistani population using an integrated approach of human biomonitoring. Human urine samples (n = 292) were analyzed by a super-sensitive liquid-chromatography tandem mass spectrometry (LC-MS/MS) method. Rice and wheat were also collected and analyzed for mycotoxins by the LC-MS/MS method. Food consumption data were collected using a 24 h recall method. A high prevalence of urinary AFM(1) (66%, mean ± SD 20.8 ± 41.3 pg/mL) and OTA (99%, 134.7 ± 312.0 pg/mL) were found, whilst urinary DON, FB(1) and ZEN levels were low. The probable daily intake (PDI) derived from the urinary biomarkers revealed that 89% of the participants had exposure to OTA exceeding the established tolerable daily intake (TDI = 17 ng/kg bw/day). The average PDI of AFB(1) for the studied population was 43 ng/kg bw/day, with rice as the main source of AFB(1) exposure. In summary, exposure to AFB(1) and OTA are of health concern and require further management. MDPI 2022-03-04 /pmc/articles/PMC8950642/ /pubmed/35324690 http://dx.doi.org/10.3390/toxins14030193 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Xia, Lei Rasheed, Hifza Routledge, Michael N. Wu, Hang Gong, Yun Yun Super-Sensitive LC-MS Analyses of Exposure Biomarkers for Multiple Mycotoxins in a Rural Pakistan Population |
title | Super-Sensitive LC-MS Analyses of Exposure Biomarkers for Multiple Mycotoxins in a Rural Pakistan Population |
title_full | Super-Sensitive LC-MS Analyses of Exposure Biomarkers for Multiple Mycotoxins in a Rural Pakistan Population |
title_fullStr | Super-Sensitive LC-MS Analyses of Exposure Biomarkers for Multiple Mycotoxins in a Rural Pakistan Population |
title_full_unstemmed | Super-Sensitive LC-MS Analyses of Exposure Biomarkers for Multiple Mycotoxins in a Rural Pakistan Population |
title_short | Super-Sensitive LC-MS Analyses of Exposure Biomarkers for Multiple Mycotoxins in a Rural Pakistan Population |
title_sort | super-sensitive lc-ms analyses of exposure biomarkers for multiple mycotoxins in a rural pakistan population |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8950642/ https://www.ncbi.nlm.nih.gov/pubmed/35324690 http://dx.doi.org/10.3390/toxins14030193 |
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