NCT07172997

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

75
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
163

participants targeted

Target at P50-P75 for all trials

Timeline
14mo left

Started Jan 2025

Typical duration for all trials

Geographic Reach
1 country

2 active sites

Status
active not recruiting

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 Progress54%
Jan 2025Jun 2027

Study Start

First participant enrolled

January 1, 2025

Completed
29 days until next milestone

First Submitted

Initial submission to the registry

January 30, 2025

Completed
8 months until next milestone

First Posted

Study publicly available on registry

September 15, 2025

Completed
1.3 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2026

Expected
6 months until next milestone

Study Completion

Last participant's last visit for all outcomes

June 30, 2027

Last Updated

September 15, 2025

Status Verified

January 1, 2025

Enrollment Period

2 years

First QC Date

January 30, 2025

Last Update Submit

September 8, 2025

Conditions

Keywords

metabolic biomarkersMASLD proteomicsMASLD transcriptomicsT2DM Transcriptomicsliver biopsyproteomic biomarkerstranscriptomic biomarkersbariatric surgerynon-invasive scoring systemshear wave elastoghraphyMiddle East populationMetabolic biomarker evaluationAnthropometric measurementsTranscriptome profilingDiagnostic toolsMASLDMetabolic dysfunction associated liver diseaseT2DT2DMType 2 Diabetes MellitusNAFLDObesityNon-alcoholic fatty liver disease

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.

Procedure: Bariatric Surgery

Interventions

A surgical procedure used to manage obesity and obesity-related conditions.

Also known as: Sleeve Gastrectomy, Roux-en-Y, Metabolic Surgery, One Anastomosis Gastric Bypass, Biliopancreatic Diversion, Gastric Bypass, Mini-Bypass, OAGB, SAGB, SG
MASLD metabolic biomarker

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

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

Location

King Hamad University Hospital

Al Muharraq, Muharraq, Bahrain

Location

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: 27891446BACKGROUND
  • Slomski 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: 35191926BACKGROUND
  • Poljo 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: 37666725BACKGROUND
  • Geerts 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: 36545709BACKGROUND
  • Gluszynska 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: 34945016BACKGROUND
  • Elhelw 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: 37567846BACKGROUND
  • Verrastro 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: 37088093BACKGROUND
  • Miyake 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: 33849437BACKGROUND
  • Kouvari 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: 37527759BACKGROUND
  • Hadizadeh 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: 28573064BACKGROUND
  • Ozturk 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: 32005510BACKGROUND
  • Chimoriya 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: 33383965BACKGROUND
  • Noureddin 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: 31186861BACKGROUND
  • Sumida 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: 24574716BACKGROUND
  • Nalbantoglu 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: 25083076BACKGROUND
  • Watt 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.

    PMID: 31098621BACKGROUND
  • Riazi K, Azhari H, Charette JH, Underwood FE, King JA, Afshar EE, Swain MG, Congly SE, Kaplan GG, Shaheen AA. The prevalence and incidence of NAFLD worldwide: a systematic review and meta-analysis. Lancet Gastroenterol Hepatol. 2022 Sep;7(9):851-861. doi: 10.1016/S2468-1253(22)00165-0. Epub 2022 Jul 5.

    PMID: 35798021BACKGROUND
  • Younossi ZM, Koenig AB, Abdelatif D, Fazel Y, Henry L, Wymer M. Global epidemiology of nonalcoholic fatty liver disease-Meta-analytic assessment of prevalence, incidence, and outcomes. Hepatology. 2016 Jul;64(1):73-84. doi: 10.1002/hep.28431. Epub 2016 Feb 22.

    PMID: 26707365BACKGROUND

Biospecimen

Retention: SAMPLES WITHOUT DNA

5 ml of centrifuged serum blood sample will be retained. liver biopsy sample

MeSH Terms

Conditions

Diabetes Mellitus, Type 2Non-alcoholic Fatty Liver DiseaseObesity

Interventions

Bariatric SurgeryAnastomosis, Roux-en-YBiliopancreatic DiversionGastric Bypass

Condition Hierarchy (Ancestors)

Diabetes MellitusGlucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System DiseasesFatty LiverLiver DiseasesDigestive System DiseasesOverweightOvernutritionNutrition DisordersBody WeightSigns and SymptomsPathological Conditions, Signs and Symptoms

Intervention Hierarchy (Ancestors)

BariatricsObesity ManagementTherapeuticsSurgical Procedures, OperativeAnastomosis, SurgicalDigestive System Surgical ProceduresBiliary Tract Surgical ProceduresGastroenterostomy

Study Officials

  • John Flood

    RCSI-MUB

    PRINCIPAL INVESTIGATOR

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

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.

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.

Locations