Proteomic approaches to predict bioavailability of fatty acids and their influence on cancer and chronic disease prevention

Baukje de Roos, Donato F Romagnolo

    Research output: Contribution to journalArticle

    4 Citations (Scopus)

    Abstract

    A low intake of fish and PUFA and high dietary trans- and SFA are considered to be among the main preventable causes of death. Unfortunately, epidemiological and preclinical studies have yet to identify biomarkers that accurately predict the influence of fatty acid intake on risk of chronic diseases, including cancer. Changes in protein profile and post-translational modifications in tissue and biofluids may offer important clues about the impact of fatty acids on the etiology of chronic diseases. However, conventional protein methodologies are not adequate for assessing the impact of fatty acids on protein expression patterns and modifications and the discovery of protein biomarkers that predict changes in disease risk and progression in response to fatty acid intake. Although fluctuations in protein structure and abundance and inter-individual variability often mask subtle effects caused by dietary intervention, modern proteomic platforms offer tremendous opportunities to increase the sensitivity of protein analysis in tissues and biofluids (plasma, urine) and elucidate the effects of fatty acids on regulation of protein networks. Unfortunately, the number of studies that adopted proteomic tools to investigate the impact of fatty acids on disease risk and progression is quite small. The future success of proteomics in the discovery of biomarkers of fatty acid nutrition requires improved accessibility and standardization of proteomic methodologies, validation of quantitative and qualitative protein changes (e.g., expression levels, post-translational modifications) induced by fatty acids, and application of bioinformatic tools that can inform about the cause-effect relationships between fatty acid intake and health response.
    Original languageEnglish
    Pages (from-to)1370S-1376S
    Number of pages7
    JournalThe Journal of Nutrition
    Volume142
    Issue number7
    Early online date30 May 2012
    DOIs
    Publication statusPublished - 1 Jul 2012

    Fingerprint

    Proteomics
    Biological Availability
    Chronic Disease
    Fatty Acids
    Neoplasms
    Proteins
    Biomarkers
    Post Translational Protein Processing
    Disease Progression
    Masks
    Computational Biology
    Epidemiologic Studies
    Cause of Death
    Fishes
    Urine
    Health

    Cite this

    Proteomic approaches to predict bioavailability of fatty acids and their influence on cancer and chronic disease prevention. / de Roos, Baukje; Romagnolo, Donato F.

    In: The Journal of Nutrition, Vol. 142, No. 7, 01.07.2012, p. 1370S-1376S.

    Research output: Contribution to journalArticle

    @article{c2abe9910b5b46a2af8bb866d9d2d406,
    title = "Proteomic approaches to predict bioavailability of fatty acids and their influence on cancer and chronic disease prevention",
    abstract = "A low intake of fish and PUFA and high dietary trans- and SFA are considered to be among the main preventable causes of death. Unfortunately, epidemiological and preclinical studies have yet to identify biomarkers that accurately predict the influence of fatty acid intake on risk of chronic diseases, including cancer. Changes in protein profile and post-translational modifications in tissue and biofluids may offer important clues about the impact of fatty acids on the etiology of chronic diseases. However, conventional protein methodologies are not adequate for assessing the impact of fatty acids on protein expression patterns and modifications and the discovery of protein biomarkers that predict changes in disease risk and progression in response to fatty acid intake. Although fluctuations in protein structure and abundance and inter-individual variability often mask subtle effects caused by dietary intervention, modern proteomic platforms offer tremendous opportunities to increase the sensitivity of protein analysis in tissues and biofluids (plasma, urine) and elucidate the effects of fatty acids on regulation of protein networks. Unfortunately, the number of studies that adopted proteomic tools to investigate the impact of fatty acids on disease risk and progression is quite small. The future success of proteomics in the discovery of biomarkers of fatty acid nutrition requires improved accessibility and standardization of proteomic methodologies, validation of quantitative and qualitative protein changes (e.g., expression levels, post-translational modifications) induced by fatty acids, and application of bioinformatic tools that can inform about the cause-effect relationships between fatty acid intake and health response.",
    author = "{de Roos}, Baukje and Romagnolo, {Donato F}",
    year = "2012",
    month = "7",
    day = "1",
    doi = "10.3945/jn.111.157206",
    language = "English",
    volume = "142",
    pages = "1370S--1376S",
    journal = "The Journal of Nutrition",
    issn = "0022-3166",
    publisher = "American Society for Nutrition",
    number = "7",

    }

    TY - JOUR

    T1 - Proteomic approaches to predict bioavailability of fatty acids and their influence on cancer and chronic disease prevention

    AU - de Roos, Baukje

    AU - Romagnolo, Donato F

    PY - 2012/7/1

    Y1 - 2012/7/1

    N2 - A low intake of fish and PUFA and high dietary trans- and SFA are considered to be among the main preventable causes of death. Unfortunately, epidemiological and preclinical studies have yet to identify biomarkers that accurately predict the influence of fatty acid intake on risk of chronic diseases, including cancer. Changes in protein profile and post-translational modifications in tissue and biofluids may offer important clues about the impact of fatty acids on the etiology of chronic diseases. However, conventional protein methodologies are not adequate for assessing the impact of fatty acids on protein expression patterns and modifications and the discovery of protein biomarkers that predict changes in disease risk and progression in response to fatty acid intake. Although fluctuations in protein structure and abundance and inter-individual variability often mask subtle effects caused by dietary intervention, modern proteomic platforms offer tremendous opportunities to increase the sensitivity of protein analysis in tissues and biofluids (plasma, urine) and elucidate the effects of fatty acids on regulation of protein networks. Unfortunately, the number of studies that adopted proteomic tools to investigate the impact of fatty acids on disease risk and progression is quite small. The future success of proteomics in the discovery of biomarkers of fatty acid nutrition requires improved accessibility and standardization of proteomic methodologies, validation of quantitative and qualitative protein changes (e.g., expression levels, post-translational modifications) induced by fatty acids, and application of bioinformatic tools that can inform about the cause-effect relationships between fatty acid intake and health response.

    AB - A low intake of fish and PUFA and high dietary trans- and SFA are considered to be among the main preventable causes of death. Unfortunately, epidemiological and preclinical studies have yet to identify biomarkers that accurately predict the influence of fatty acid intake on risk of chronic diseases, including cancer. Changes in protein profile and post-translational modifications in tissue and biofluids may offer important clues about the impact of fatty acids on the etiology of chronic diseases. However, conventional protein methodologies are not adequate for assessing the impact of fatty acids on protein expression patterns and modifications and the discovery of protein biomarkers that predict changes in disease risk and progression in response to fatty acid intake. Although fluctuations in protein structure and abundance and inter-individual variability often mask subtle effects caused by dietary intervention, modern proteomic platforms offer tremendous opportunities to increase the sensitivity of protein analysis in tissues and biofluids (plasma, urine) and elucidate the effects of fatty acids on regulation of protein networks. Unfortunately, the number of studies that adopted proteomic tools to investigate the impact of fatty acids on disease risk and progression is quite small. The future success of proteomics in the discovery of biomarkers of fatty acid nutrition requires improved accessibility and standardization of proteomic methodologies, validation of quantitative and qualitative protein changes (e.g., expression levels, post-translational modifications) induced by fatty acids, and application of bioinformatic tools that can inform about the cause-effect relationships between fatty acid intake and health response.

    U2 - 10.3945/jn.111.157206

    DO - 10.3945/jn.111.157206

    M3 - Article

    C2 - 22649259

    VL - 142

    SP - 1370S-1376S

    JO - The Journal of Nutrition

    JF - The Journal of Nutrition

    SN - 0022-3166

    IS - 7

    ER -