Non-Invasive MASLD Diagnosis & T2D Remission Biomarkers
ENSURE-MASLD
Evaluating Non-Invasive Approaches for Screening, Diagnosis, and Monitoring of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) in Bariatric Patients & Identifying Biomarkers for Predicting Type 2 Diabetes Remission
2 other identifiers
observational
163
1 country
2
Brief Summary
The goal of this observational study is to prospectively develop and validate a non-invasive scoring system based on metabolic markers, proteomic, and transcriptomic profiles to accurately screen, diagnose, stage, and monitor Metabolic dysfunction-associated steatotic liver disease (MASLD) activity and regression as a replacement for the invasive liver biopsy tool in Bahraini bariatric patients. The study also aims to identify biomarkers for predicting type 2 diabetes mellitus remission post-bariatric surgery. The main questions it aims to answer are:
- What proteomic and transcriptomic markers can be used to accurately screen, diagnose, stage, and monitor MASLD activity and regression?
- What transcriptomic markers can predict type 2 diabetes mellitus remission? Researchers will compare the proteomic and transcriptomic profiles of bariatric patients before and after surgery to identify molecular changes associated with weight loss and normalization of metabolic biomarkers. The data will be used to design and validate a scoring system for MASLD diagnosis and monitoring. Participants will undergo comprehensive assessments, including anthropometric measurements, metabolic biomarker evaluations, proteomic, and transcriptomic profiling at three time points: before surgery, and at 6- and 12-months post-surgery. The data collected will inform the development of the non-invasive scoring system, which will be tested for its reliability and accuracy in replacing liver biopsy as the standard diagnostic tool for MASLD.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Jan 2025
Typical duration for all trials
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2025
CompletedFirst Submitted
Initial submission to the registry
January 30, 2025
CompletedFirst Posted
Study publicly available on registry
September 15, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
June 30, 2027
September 15, 2025
January 1, 2025
2 years
January 30, 2025
September 8, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
Accuracy of Non-invasive Ultrasonography Tools for MASLD Assessment
To assess the diagnostic accuracy of three ultrasonography tools for diagnosing MASLD by calculating their sensitivity (%), specificity(%), positive predictive value (PPV)(%), and negative predictive value (NPV)(%) compared to the liver histopathology diagnosis: * Conventional Ultrasonography: Detects liver steatosis and evaluates liver size (cm), texture, and fibrosis. * Shear-wave elastography (SWE): Measures liver stiffness(kPa), correlating with fibrosis severity (F0-F1: 0.0 - 8.27 kPa = Normal-mild, F2: 8.27 - 9.4 kPa = mild-moderate, F3: 9.4-11.8 kPa = moderate-severe, F4: \>11.8 kPa cirrhosis). * Ultrasound-guided acoustic pulse (UGAP) examination: Combines ultrasound with acoustic pulses to assess liver steatosis by measuring the attenuation of ultrasound waves as they pass through the liver. Higher attenuation values generally correlate with a greater degree of hepatic steatosis (attenuation coefficient cutoff value (dB/cm/MHz): ≥S1= 0.65, ≥S2= 0.71, S3= 0.77).
At Baseline, at 6-months after the surgery, and at 12 months after the surgery
Proteomic Changes and Their Correlation with MASLD Regression
This outcome measures changes in protein expression between MASLD-positive patients and a control of MASLD- negative patients. Both group will have equal number of participants, and equal male to female ratio. Protein levels will be measured using liquid chromatography tandem mass spectrometry (counts per second (cps), and Changes in protein levels and will be quantified as percent and fold changes. .
At Baseline
Accuracy of Available Formulae for MASLD Assessment
To evaluate the diagnostic accuracy of three formulae for diagnosing MASLD by assessing Sensitivity(percentage), Specificity(percentage), Positive Predictive Value (PPV)(percentage), and Negative Predictive Value (NPV)(percentage) compared to the liver histopathology diagnosis. 1. APRI: Uses AST levels (U/L) and platelet count (x10\^9/l) to estimate liver fibrosis risk (\< 0.5 = minimal or no fibrosis, 0.5 - 1.5 = Moderate fibrosis, \> 1.5 = Severe fibrosis or cirrhosis). 2. FIB-4: Combines age(years), AST(U/L), ALT(U/L), and platelet count (x10\^9/l) to assess liver fibrosis risk (\< 1.45 = minimal or no fibrosis, 1.45 - 3.39 = significant fibrosis, ≥ 3.4 = advanced fibrosis or cirrhosis). 3. NAFLD-Fibrosis Score: Uses age (years), BMI (kg/m\^2), diabetes status, liver enzymes (U/l), platelet count (x10\^9/l), and albumin (g/L) to assess fibrosis risk (\< -1.455 = low probability of fibrosis, -1.455- 0.765 = significant fibrosis, \> 0.675 = high probability of fibrosis).
At Baseline, at 6-months after the surgery, and at 12 months after the surgery
mi-RNA Changes and Their Correlation with MASLD Regression and Diabetes Remission
This outcome measures changes in circulating microRNA (miRNA) levels, in relation to diabetes remission post-bariatric surgery. Changes in miRNA levels will be quantified as percent and fold changes. miRNA levels will be measured using micro-array technique. Changes will be assessed in the diabetic disease state and after achieving diabetes remission, defined by fasting glucose \<100 mg/dL and HbA1c \<6.5%. miRNA changes will be correlated with diabetes remission at 6 and 12 months.
At Baseline, at 6-months after the surgery, and at 12 months after the surgery
Secondary Outcomes (4)
Percentage of MASLD Regression Post-Bariatric Surgery
At 6-months after the surgery, and at 12 months after the surgery
Percentage of Type 2 Diabetes Remission Post-Bariatric Surgery
At 6-months after the surgery, and at 12 months after the surgery
Excess Weight Loss (EWL) Measurement
At Baseline, at 6-months after the surgery, and at 12 months after the surgery
Body Composition Parameters After Bariatric Surgery
At baseline, and at 6 months and 12 months after bariatric surgery
Other Outcomes (1)
Identification of Novel Biomarkers through Fold Change Analysis and Regression Models
Through study completion, an average of 1 year
Study Arms (1)
MASLD metabolic biomarker
Adult obese patients (18 years old and above) who underwent bariatric surgery in KHUH surgery department from January 2025 to December2025.
Interventions
A surgical procedure used to manage obesity and obesity-related conditions.
Eligibility Criteria
Bahraini adult obese patients
You may qualify if:
- Adult obese patients undergoing bariatric surgery in KHUH surgery department consented to be included in the study.
You may not qualify if:
- Patients fail to complete the surgery due to intra-operative complications.
- Patients fail to retrieve liver biopsy sample from due to intra-operative difficulties.
- Patients with missing data pre-operatively
- Body Mass Index less than 30 kg/m2.
- Post-liver transplant patients
- Patients known to have any liver disease other than MASLD
- Patients with history of Alcohol Drinking.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (2)
Alhakeem Radiology Center
Manama, Manama, 2901, Bahrain
King Hamad University Hospital
Al Muharraq, Muharraq, Bahrain
Related Publications (18)
Bujang MA, Adnan TH. Requirements for Minimum Sample Size for Sensitivity and Specificity Analysis. J Clin Diagn Res. 2016 Oct;10(10):YE01-YE06. doi: 10.7860/JCDR/2016/18129.8744. Epub 2016 Oct 1.
PMID: 27891446BACKGROUNDSlomski A. Bariatric Surgery Approaches Reduce Fatty Liver Disease. JAMA. 2022 Feb 22;327(8):710. doi: 10.1001/jama.2022.1532. No abstract available.
PMID: 35191926BACKGROUNDPoljo A, Kopf S, Sulaj A, Roessler S, Albrecht T, Goeppert B, Bojko S, Muller-Stich BP, Billeter AT. The role of bariatric surgery on beta-cell function and insulin resistance in patients with nonalcoholic fatty liver disease and steatohepatitis. Surg Obes Relat Dis. 2023 Dec;19(12):1421-1434. doi: 10.1016/j.soard.2023.07.005. Epub 2023 Jul 24.
PMID: 37666725BACKGROUNDGeerts A, Lefere S. Bariatric surgery for non-alcoholic fatty liver disease: Indications and post-operative management. Clin Mol Hepatol. 2023 Feb;29(Suppl):S276-S285. doi: 10.3350/cmh.2022.0373. Epub 2022 Dec 22.
PMID: 36545709BACKGROUNDGluszynska P, Lemancewicz D, Dzieciol JB, Razak Hady H. Non-Alcoholic Fatty Liver Disease (NAFLD) and Bariatric/Metabolic Surgery as Its Treatment Option: A Review. J Clin Med. 2021 Dec 7;10(24):5721. doi: 10.3390/jcm10245721.
PMID: 34945016BACKGROUNDElhelw O, Ragavan S, Majeed W, Alkhaffaf B, Mohammed N, Senapati S, Ammori BJ, Robinson JA, Syed AA. The impact of bariatric surgery on liver enzymes in people with obesity: A 5-year observational study. Surgeon. 2024 Feb;22(1):e26-e33. doi: 10.1016/j.surge.2023.07.006. Epub 2023 Aug 9.
PMID: 37567846BACKGROUNDVerrastro O, Panunzi S, Castagneto-Gissey L, De Gaetano A, Lembo E, Capristo E, Guidone C, Angelini G, Pennestri F, Sessa L, Vecchio FM, Riccardi L, Zocco MA, Boskoski I, Casella-Mariolo JR, Marini P, Pompili M, Casella G, Fiori E, Rubino F, Bornstein SR, Raffaelli M, Mingrone G. Bariatric-metabolic surgery versus lifestyle intervention plus best medical care in non-alcoholic steatohepatitis (BRAVES): a multicentre, open-label, randomised trial. Lancet. 2023 May 27;401(10390):1786-1797. doi: 10.1016/S0140-6736(23)00634-7. Epub 2023 Apr 21.
PMID: 37088093BACKGROUNDMiyake T, Miyazaki M, Yoshida O, Kanzaki S, Nakaguchi H, Nakamura Y, Watanabe T, Yamamoto Y, Koizumi Y, Tokumoto Y, Hirooka M, Furukawa S, Takeshita E, Kumagi T, Ikeda Y, Abe M, Toshimitsu K, Matsuura B, Hiasa Y. Relationship between body composition and the histology of non-alcoholic fatty liver disease: a cross-sectional study. BMC Gastroenterol. 2021 Apr 13;21(1):170. doi: 10.1186/s12876-021-01748-y.
PMID: 33849437BACKGROUNDKouvari M, Valenzuela-Vallejo L, Guatibonza-Garcia V, Polyzos SA, Deng Y, Kokkorakis M, Agraz M, Mylonakis SC, Katsarou A, Verrastro O, Markakis G, Eslam M, Papatheodoridis G, George J, Mingrone G, Mantzoros CS. Liver biopsy-based validation, confirmation and comparison of the diagnostic performance of established and novel non-invasive steatotic liver disease indexes: Results from a large multi-center study. Metabolism. 2023 Oct;147:155666. doi: 10.1016/j.metabol.2023.155666. Epub 2023 Jul 30.
PMID: 37527759BACKGROUNDHadizadeh F, Faghihimani E, Adibi P. Nonalcoholic fatty liver disease: Diagnostic biomarkers. World J Gastrointest Pathophysiol. 2017 May 15;8(2):11-26. doi: 10.4291/wjgp.v8.i2.11.
PMID: 28573064BACKGROUNDOzturk A, Mohammadi R, Pierce TT, Kamarthi S, Dhyani M, Grajo JR, Corey KE, Chung RT, Bhan AK, Chhatwal J, Samir AE. Diagnostic Accuracy of Shear Wave Elastography as a Non-invasive Biomarker of High-Risk Non-alcoholic Steatohepatitis in Patients with Non-alcoholic Fatty Liver Disease. Ultrasound Med Biol. 2020 Apr;46(4):972-980. doi: 10.1016/j.ultrasmedbio.2019.12.020. Epub 2020 Jan 29.
PMID: 32005510BACKGROUNDChimoriya R, Piya MK, Simmons D, Ahlenstiel G, Ho V. The Use of Two-Dimensional Shear Wave Elastography in People with Obesity for the Assessment of Liver Fibrosis in Non-Alcoholic Fatty Liver Disease. J Clin Med. 2020 Dec 29;10(1):95. doi: 10.3390/jcm10010095.
PMID: 33383965BACKGROUNDNoureddin M, Loomba R. Nonalcoholic fatty liver disease: Indications for liver biopsy and noninvasive biomarkers. Clin Liver Dis (Hoboken). 2012 Sep 25;1(4):104-107. doi: 10.1002/cld.65. eCollection 2012 Sep. No abstract available.
PMID: 31186861BACKGROUNDSumida Y, Nakajima A, Itoh Y. Limitations of liver biopsy and non-invasive diagnostic tests for the diagnosis of nonalcoholic fatty liver disease/nonalcoholic steatohepatitis. World J Gastroenterol. 2014 Jan 14;20(2):475-85. doi: 10.3748/wjg.v20.i2.475.
PMID: 24574716BACKGROUNDNalbantoglu IL, Brunt EM. Role of liver biopsy in nonalcoholic fatty liver disease. World J Gastroenterol. 2014 Jul 21;20(27):9026-37. doi: 10.3748/wjg.v20.i27.9026.
PMID: 25083076BACKGROUNDWatt MJ, Miotto PM, De Nardo W, Montgomery MK. The Liver as an Endocrine Organ-Linking NAFLD and Insulin Resistance. Endocr Rev. 2019 Oct 1;40(5):1367-1393. doi: 10.1210/er.2019-00034.
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PMID: 26707365BACKGROUND
Biospecimen
5 ml of centrifuged serum blood sample will be retained. liver biopsy sample
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
John Flood
RCSI-MUB
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Target Duration
- 12 Months
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
January 30, 2025
First Posted
September 15, 2025
Study Start
January 1, 2025
Primary Completion (Estimated)
December 31, 2026
Study Completion (Estimated)
June 30, 2027
Last Updated
September 15, 2025
Record last verified: 2025-01
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, CSR, ANALYTIC CODE
- Time Frame
- Data will be collected in the case report form to allow for cross referencing to check validity. Study documents (paper) will be retained in a secure (kept locked when not in use) location during and after the trial has finished. All essential documents including source documents will be retained for a period of 5 years after study completion (last patient, last study point).
- Access Criteria
- Study documents (paper) will be retained in a secure (kept locked when not in use) location during and after the trial has finished.
Monitoring, audits, and REC review will be permitted and provide direct access to source data and documents. The Lead PI and the researchers assigned by him will have access to the stored data/specimens. Only the Lead PI and the researchers assigned working on this study will be eligible to obtain the data/specimens from the participants during data collection.