Clinical trial NCT06548009: Serum Metabolics-based Method for Diagnosing Bile Acid Diarrhoea
Official title: Serum Metabolics-based Method for Diagnosing Bile Acid Diarrhoea
Study type: OBSERVATIONAL
Overall status: COMPLETED
Conditions: Bile Acid Malabsorption
Bile Acid Diarrhea
Keywords: bile acid
diarrhea
diagnostics
Lead sponsor: University Hospital, Gentofte, Copenhagen
Sponsor class: OTHER
First posted: 2024-08-12
Enrollment: 150
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: COHORT
Time perspective: PROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: The study population consists of SeHCAT referred patients for suspected bile acid diarrhoea.

Brief summary: 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.

Detailed description: 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.

Eligibility criteria: 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

Primary outcomes:
measure: AUROC curve of the BDS in the validation cohort
timeFrame: 1 year from now
Secondary outcomes:
measure: AUROC curve of BDS in patients with each of the three subtypes of BAD
timeFrame: 1 year from now
measure: AUROC curve of BDS in the discovery cohort (see 8.2 Data analysis)
timeFrame: 1 year from now
measure: Correlation of SeHCAT test result with severity of BAD symptoms
timeFrame: 1 year from now
measure: Correlation of BDS test results with number of stools per day
timeFrame: 1 year from now
measure: Biomarkers for BAD: C4 and FGF19
timeFrame: 1 year from now
Other outcomes:
Locations:
city: Copenhagen
country: Denmark
facility: Bispebjerg and Frederiksberg Hospital
city: Hellerup
country: Denmark
facility: Herlev Gentofte Hospital
city: Hillerød
country: Denmark
facility: Hillerød Hospital
Study officials:
References:
citation: Lewinska M, Karhus ML, Ellegaard AG, Romero-Gomez M, Macias RIR, Andersen JB, Knop FK. Serum lipidome unravels a diagnostic potential in bile acid diarrhoea. Gut. 2023 Sep;72(9):1698-1708. doi: 10.1136/gutjnl-2022-329213. Epub 2023 Apr 18.