Human Urinary Biomarker for Orange Juice Consumption
Human urinary metabolic profiling showed to be very successful to elucidate biomarkers linked to geographic origin and specific food consumption patterns (Holmes and Loo et al.: Human metabolic phenotype diversity and its association with diet and blood pressure. Nature 2008:1-6). It was possible to identify urinary metabolites directly linked to animal vs. vegetable protein intake. This is very valuable for future population studies, where diet is an important lifestyle factor but food questionnaires are time-consuming and expensive. Moreover, miss-reporting is a very common problem.
Our hypothesis is to find the same biochemical marker for orange juice as we already found in a preceding nutritional studies where participants recorded orange consumption.
調査の概要
詳細な説明
To elucidate the citrus fruit biomarker it needs to be ensured that all volunteers do not consume citrus fruits and foods potentially containing similar ingredients. Therefore it is necessary to ask volunteers to refrain from these foods by giving them dietary restrictions. Extensive literature research showed that some foods (such as grain legumes and brie cheese) may contain the same compound, but in much smaller amounts.
Days 1-3 will be on open diet but with dietary restrictions (no alcohol, cheese, fruits, ethnic foods such as Chinese and Indian food, grain legumes such as beans, lentils, peas and peanuts, and all kinds of sprouts (such as cress or alfalfa)). On day 2 a glass of orange juice (200ml) will be consumed in addition to the open diet. Urine collection will continue and stop on day 4 at 10 am.
During the study to minimise variation in biomarker excretion due to other beverages the participants beverage intake will be restricted to water and coffee.
All urine samples will then be analysed using high resolution NMR spectroscopy and mass spectrometry. Mathematical data analyses as well as the visual examinations of the NMR spectra will also be carried out to validate the presence of citrus fruit biomarkers.
研究の種類
入学 (実際)
段階
- 適用できない
連絡先と場所
研究場所
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-
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London、イギリス、SW7 2AZ
- Imperial College London
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参加基準
適格基準
就学可能な年齢
健康ボランティアの受け入れ
受講資格のある性別
説明
Inclusion Criteria:
- healthy individuals
- male/female
- aged 18-45 years
- non-smoker
- BMI 18-25 kg/m2
Exclusion Criteria:
- regular drug intake
- regular food supplements intake
研究計画
研究はどのように設計されていますか？
デザインの詳細
- 主な目的：基礎科学
- 割り当て：なし
- 介入モデル：単一グループの割り当て
- マスキング：なし（オープンラベル）
武器と介入
参加者グループ / アーム |
介入・治療 |
|---|---|
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実験的：Orange Juice
1 glass (=200mL) of orange juice
|
この研究は何を測定していますか？
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
To elucidate urinary biochemical markers for the consumption of orange juice.
時間枠：6 months
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1H NMR urinary metabolite spectra will be acquired.
Proline betaine will be quantified by peak integration of the resonance at 3.11ppm in the NMR spectrum.
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6 months
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二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
To investigate the kinetics of elucidated biomarker excretion over time.
時間枠：6 months
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Excretion of proline betaine, as quantified from the 1H NMR spectrum of urine, will be plotted over time.
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6 months
|
協力者と研究者
スポンサー
出版物と役立つリンク
研究記録日
主要日程の研究
研究開始 (実際)
一次修了 (実際)
研究の完了 (実際)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (見積もり)
学習記録の更新
投稿された最後の更新 (実際)
QC基準を満たした最後の更新が送信されました
最終確認日
詳しくは
本研究に関する用語
その他の研究ID番号
- 557-ICL-649
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