血清代謝に基づく胆汁酸性下痢の診断方法
Bile acid diarrhoea (BAD) is a common yet under-diagnosed and under-recognised disease. The primary symptoms are watery diarrhoea with high frequency of unpredictable bowel movements,urgency and faecal incontinence making BAD a debilitating condition. One of the challenges of BAD is the lack of a readily available and accurate diagnostic test.
The aim of this study is to validate a BAD diagnostic score (BDS) based on metabolomics.
調査の概要
詳細な説明
Bile acid diarrhoea (BAD) is a common yet under-diagnosed and under-recognised disease. The primary symptoms are watery diarrhoea with high frequency of unpredictable bowel movements,urgency and faecal incontinence making BAD a debilitating condition. The pathophysiology of BAD involves spill-over of bile acids to the colon where bile acids irritate the colonic mucosa and cause osmotic-induced fluid secretion. The aetiology of BAD can be either idiopathic (termed primary BAD or type 2 BAD) or the disease can develop secondary to ileal dysfunction (due to, e.g., intestinal surgery or Chron's disease, termed type 1 BAD) or other conditions interfering with ileal absorption (due to, e.g., cholecystectomy or radiation therapy, termed type 3 BAD).
Irritable bowel syndrome (IBS) with predominant diarrhoea is a common condition in the general population (prevalence of around 4%) and emerging data suggest that around 1/3 suffering from this condition in fact have BAD. Many of these patients remains undiagnosed and thus,inappropriately treated or even untreated. A major reason for this is challenges associated with diagnosing BAD. Several diagnostic modalities have been suggested including 14C-glycocholate breath test, stool test and assessment of 48-hour faecal bile acid output. These tests are cumbersome, time-consuming, and not widely available. The 75selenium homocholic acid taurine (SeHCAT) test is considered the gold standard for the diagnosis of BAD. It measures, via a standard gamma camera, the 7-day retention of a taurine-conjugated bile acid analogue labelled with the gamma-emitter 75selenium. This test provides a quantitative assessment to estimate the severity of BAD, but there is no general agreement regarding its cut-off value and the test is not widely available or even approved for clinical use in many countries outside Europe, including the USA. Furthermore, the SeHCAT test is cumbersome due to its dependence on two visits to the clinic exactly seven days apart, it is expensive, and involves radioactive exposure to the patient. Given the limited availability and the challenges associated with the abovementioned tests, excluding BAD is unfortunately not within current routine investigational algorithms for diarrhoea-predominant IBS, Crohn's disease, or gastrointestinal cancers. In many cases, BAD diagnosis is considered after therapeutic trial using bile acid sequestrants. However, these agents are expensive, often ineffective and/or associated with gastrointestinal side effects in patients with established BAD why their potential as diagnostic tools is limited. Taken together, diagnosing BAD is currently associated with challenges that may preclude relevant treatment of this debilitating condition warranting development of easy and accessible yet safe and effective BAD diagnostics. Recently, the investigators have developed a new BAD diagnostic method based on a single blood sample from the patient. Our approach is based on unbiased, metabolic profiling of serum from BAD patients and carefully matched healthy individuals using comprehensive ultra-high-performance liquid chromatography time-of-flight mass-spectrometry. These comprehensive datasets were subjected to state-of-the-art machine learning and used to build a BAD diagnostic score (BDS) that can distinguish a patient suffering BAD from healthy individuals with high precision (sensitivity of 78% and specificity of 93%). In the present study, the investigators will refine the BDS to distinguish between patients suffering from BAD and patients suffering from other diarrhoeal diseases by using the same methods and data analyses as in the previous project, but in this case applied to serum samples collected from patients referred to diagnostic SeHCAT test, i.e., samples from both test-positive and test-negative patients.
研究の種類
入学 (実際)
連絡先と場所
研究場所
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-
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Copenhagen、デンマーク
- Bispebjerg and Frederiksberg Hospital
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Hellerup、デンマーク
- Herlev Gentofte Hospital
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Hillerød、デンマーク
- Hillerød Hospital
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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
サンプリング方法
調査対象母集団
The study population consists of SeHCAT referred patients for suspected bile acid diarrhoea.
説明
Inclusion Criteria:
- SeHCAT referral for suspected bile acid diarrhoea
- Age ≥18 years
Exclusion Criteria:
- Diabetes, except type 2 diabetes
- Nephropathy with estimated glomerular filtration rate <30 min/1.73 m2
- Treatment with medicine that cannot be paused for 12 hours
- Hypothyroidism or hyperthyroidism, if not well regulated
- Active or recent (<6 months since last treatment) malignant disease
- Any treatment or condition requiring acute or subacute medical or surgical intervention
- Any condition considered incompatible with trial participation by the investigators
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
- 観測モデル:COHORT
- 時間の展望:PROSPECTIVE
コホートと介入
グループ/コホート |
介入・治療 |
|---|---|
|
SeHCAT confirmed bile acid diarrhea
Patients referred to a SeHCAT scan due to suspected bile acid diarrhea, who afterwards turned out to be suffering from SeHCAT confirmed bile acid diarrhea |
Blood samples taken with the objective of identifying a diagnostic test |
|
SeHCAT negative patients
Patients referred to a SeHCAT scan due to suspected bile acid diarrhea, who afterwards turned out to be SeHCAT negative |
Blood samples taken with the objective of identifying a diagnostic test |
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 |
|---|---|---|
|
AUROC curve of the BDS in the validation cohort
時間枠:1 year from now
|
AUROC curve of the BDS in the validation cohort |
1 year from now
|
二次結果の測定
結果測定 |
時間枠 |
|---|---|
|
BAD の 3 つのサブタイプのそれぞれを有する患者における BDS の AUROC 曲線
時間枠:今から1年後
|
今から1年後
|
|
発見コホートにおける BDS の AUROC 曲線 (8.2 データ分析を参照)
時間枠:今から1年後
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今から1年後
|
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SeHCAT 検査結果と BAD 症状の重症度との相関関係
時間枠:今から1年後
|
今から1年後
|
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BDS 検査結果と 1 日あたりの排便数の相関関係
時間枠:今から1年後
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今から1年後
|
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BAD のバイオマーカー: C4 および FGF19
時間枠:今から1年後
|
今から1年後
|
協力者と研究者
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 (実際)
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
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