NCT05301231

Brief Summary

The cascade of care for the non-alcoholic fatty liver disease (NAFLD) and its progression to non-alcoholic steatohepatitis (NASH) requires crossing the barriers for their diagnosis and treatment. The multifactorial nature of NAFLD/NASH limits their diagnosis by a single factor solely. This project aimed at developing a powerful composite marker panel based on multi-omics technologies to detect NAFLD without or with fibrosis (potential for NASH) in high-risk populations (obesity, type 2 diabetes, hypertensive, dyslipidemia). This project is an exploratory study to unrevealing the intra-heterogeneity and inter-similarities of NAFLD without and with fibrosis versus those of healthy individuals. The molecular and clinical characteristics of 450 participants (225 adults aged 30-60 years and 225 children aged 12 -18 years) will be investigated; 150 NAFLD patients without, 150 NAFLD patients with fibrosis (potential NASH) compared to 150 healthy individuals. Detection of genetic polymorphism of SNP of 10 gene variants involved with NAFLD without and with fibrosis, gene discovery and molecular diagnosis of dyslipidemia using next-generation sequencing and whole-exome sequencing (genomics), the expression level for the top 5 of 168-panel genes of plasma miRNAs (epi-genomics), the glycosylation pattern of five glycoproteins (proteomics), salivary analysis of ten microbiomes and five microbial-related metabolites (metabolomics) will be investigated. Eventually, the development of precision therapies to target NAFLD without and with fibrosis and possibly reverse fibrosis could be achieved.

Trial Health

43
At Risk

Trial Health Score

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

Trial has exceeded expected completion date
Enrollment
450

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Aug 2022

Geographic Reach
1 country

1 active site

Status
unknown

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

First Submitted

Initial submission to the registry

February 28, 2022

Completed
29 days until next milestone

First Posted

Study publicly available on registry

March 29, 2022

Completed
4 months until next milestone

Study Start

First participant enrolled

August 1, 2022

Completed
1.4 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 30, 2023

Completed
4 months until next milestone

Study Completion

Last participant's last visit for all outcomes

April 30, 2024

Completed
Last Updated

June 3, 2022

Status Verified

June 1, 2022

Enrollment Period

1.4 years

First QC Date

February 28, 2022

Last Update Submit

June 1, 2022

Conditions

Keywords

non-alcoholic fatty liver disease (NAFLD)non-alcoholic steatohepatitisepi-genomicsgenomicsmetabolomicsproteomics

Outcome Measures

Primary Outcomes (7)

  • Dyslipidemia-related variants related commonly to the Egyptian population

    NGS panels of dyslipidemia main genes; (LDLR), (APOB), (PCSK9), and (LDLRAP) will be customized by Illumina to screen for mutations in 30 participants (as detected by OR in relation to controls).

    12 months after the start of the recruitment

  • The most significant predisposing or protective genetic variants out of the studied risk and protective alleles associated with NAFLD without and with fibrosis in the Egyptian population.

    The identification of people who carry a specific genetic variant predisposing them to NAFLD with fibrosis Through gene polymorphisms (as detected by OR in relation to controls)

    12 months after the start of the recruitment

  • The expression level of altered plasma mRNAs detected among the Egyptian population

    Expression profiling of plasma microRNAs expression profiling will be performed by locked nucleic acid PCR array for high plasma miRNAs. This will be applied to 2 subjects from each group (a total of 12 subjects).

    12 months after the start of the recruitment

  • The glycosylation profile of the studied N- and O-glycoproteins among Egyptians

    identifying the glycosylation pattern transferrin, apolipoprotein C III (Apoc III), haptoglobin, Mac2 binding protein, IgG (Santa Cruz, USA). The protein bands were visualized as a chemiluminescence reaction using ECL (Novex, Invitrogen, Thermo Scientific, US), and the images will be taken using a CDD camera.

    12 months after the start of the recruitment

  • Differences in the compositions and types of the bacterial isolates among the Egyptian populations that are linked to NAFLD patients without and with fibrosis vs. controls

    (out of 10 bacterial isolates) using -Rapid RT-PCR test for 16S rRNA gene amplicon library preparation and sequencing

    12 months after the start of the recruitment

  • Concentration level of the high salivary detected microbiome-related metabolites

    The salivary concentrations of the high salivary detected microbiome-related metabolites using Gas Chromatography-Mass Spectrometer (GC-MS) Analysis and their predictive value (Odds Ratio)

    12 months after the start of the recruitment

  • Production of a novel non-invasive biomarker panel to be used for NAFLD without and with fibrosis prediction and diagnosis.

    Using a logistic regression prediction model for the identification of significant multi-omics biomarkers will help in the development of a unique Egyptian scoring system.

    24 months from the start of the study

Study Arms (3)

NAFLD group without fibrosis

Group diagnosed to have NAFLD without fibrosis according to the recommendation of EASL; AASLD (13) and ESPGHAN Hepatology Committee (14), (75 adults aged 30-60 years, 75 children aged 12-18 years) ,

Diagnostic Test: Genomics (DNA Extraction)Diagnostic Test: Epi-genomicsDiagnostic Test: Proteomics (Glycoproteomics)Diagnostic Test: Salivary MetabolomicsBehavioral: Individualized counselling for behavioural modification

NAFLD group with fibrosis (potential NASH)

Group diagnosed to have NAFLD with fibrosis according to the recommendation of EASL; AASLD (13) and ESPGHAN Hepatology Committee (14), (75 adults aged 30-60 years, 75 children aged 12-18 years),

Diagnostic Test: Genomics (DNA Extraction)Diagnostic Test: Epi-genomicsDiagnostic Test: Proteomics (Glycoproteomics)Diagnostic Test: Salivary MetabolomicsBehavioral: Individualized counselling for behavioural modification

Healthy group

Healthy control group age and sex-matched with the previous group (75 adults aged 30-60 years, 75 children aged 12-18 years),

Diagnostic Test: Genomics (DNA Extraction)Diagnostic Test: Epi-genomicsDiagnostic Test: Proteomics (Glycoproteomics)Diagnostic Test: Salivary MetabolomicsBehavioral: Individualized counselling for behavioural modification

Interventions

Blood samples for detection of: Genes for Dyslipidemia BY WES and NGS (4 GWA) (30 cases) Genes polymorphism for NAFLD/NASH BY TaqMan SNP Genotyping Assay on 10 GWAS

Healthy groupNAFLD group with fibrosis (potential NASH)NAFLD group without fibrosis
Epi-genomicsDIAGNOSTIC_TEST

* blood samples for detection of Expression profiling of plasma microRNAs * PCR array to determine the altered miRNAs for 168 plasma miRNAs (12 cases) * Expression analysis of top 5 altered miRNAs (All)

Healthy groupNAFLD group with fibrosis (potential NASH)NAFLD group without fibrosis

blood samples for Identifying glycosylation pattern of five glycoproteins linked with NAFLD/NASH (transferrin, apoC III, haptoglobin, Mac2 binding protein, IgG)

Healthy groupNAFLD group with fibrosis (potential NASH)NAFLD group without fibrosis
Salivary MetabolomicsDIAGNOSTIC_TEST

Salivary Samples for detecting Salivary Metabolomics 1. Genome analysis (Identification of microbial strains common among Egyptians BY apid RT-PCR (DNA sequencing: 16S rRNA gene amplicons) 2. Microbiome related Metabolites Identification using GC-MS Analysis (the top 5 identified microbial-related metabolites) as metabolomics 3. Meta-genomic assess of three microbiome-related metabolites; lactoferrin, (LPS), (IgA) BY Commercial ELISA kits

Healthy groupNAFLD group with fibrosis (potential NASH)NAFLD group without fibrosis

Individualized counselling for behavioral modification (3 sessions): Nutritional education, Promotion of physical activities and Cognitive \& Psychological support

Healthy groupNAFLD group with fibrosis (potential NASH)NAFLD group without fibrosis

Eligibility Criteria

Age12 Years - 60 Years
Sexall
Age GroupsChild (0-17), Adult (18-64)
Sampling MethodProbability Sample
Study Population

The study will be carried out on 450 individuals, 225 of them will be children aged 12-18 years and 225 will be adults in the age range 30-60 years according to pre-set inclusion and exclusion criteria. The enrolled adults and children will be diagnosed according to the recommendation of EASL; AASLD (13) and ESPGHAN Hepatology Committee (14) Respectively

You may qualify if:

  • Age: 30-60 years for adults and 12-18 years for children
  • BMI: ≥ 25 for adults, BMI: ≥ 85th and \<94th percentile for overweight and ≥95th percentile for obese children
  • Pre-diabetics and type 2 diabetes
  • Dyslipidemia
  • Hypertension
  • Family history of NASH

You may not qualify if:

  • Alcohol consumption
  • Type 1 diabetes
  • Other chronic liver diseases
  • Malignant diseases

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

National Research Centre

Giza, Giza Governorate, 12411, Egypt

Location

Related Publications (20)

  • Ahmed MH, Noor SK, Bushara SO, Husain NE, Elmadhoun WM, Ginawi IA, Osman MM, Mahmoud AO, Almobarak AO. Non-Alcoholic Fatty Liver Disease in Africa and Middle East: An Attempt to Predict the Present and Future Implications on the Healthcare System. Gastroenterology Res. 2017 Oct;10(5):271-279. doi: 10.14740/gr913w. Epub 2017 Oct 26.

    PMID: 29118867BACKGROUND
  • Gan L, Chitturi S, Farrell GC. Mechanisms and implications of age-related changes in the liver: nonalcoholic Fatty liver disease in the elderly. Curr Gerontol Geriatr Res. 2011;2011:831536. doi: 10.1155/2011/831536. Epub 2011 Sep 12.

    PMID: 21918648BACKGROUND
  • Perakakis N, Stefanakis K, Mantzoros CS. The role of omics in the pathophysiology, diagnosis and treatment of non-alcoholic fatty liver disease. Metabolism. 2020 Oct;111S:154320. doi: 10.1016/j.metabol.2020.154320. Epub 2020 Jul 23.

    PMID: 32712221BACKGROUND
  • Giraudi PJ, Stephenson AM, Tiribelli C, Rosso N. Novel high-throughput applications for NAFLD diagnostics and biomarker discovery. Hepatoma Res 2021; 7:2

    BACKGROUND
  • Patel K, Sebastiani G. Limitations of non-invasive tests for assessment of liver fibrosis. JHEP Rep. 2020 Jan 20;2(2):100067. doi: 10.1016/j.jhepr.2020.100067. eCollection 2020 Apr.

    PMID: 32118201BACKGROUND
  • Beattie M, Dhawan A, Puntis JWL, et al., Non alcoholic fatty liver disease, chapter 61;520-528 Oxford Specialist Handbook of Paediatric Gastroenterology, Hepatology, and nutrition. Oxford university press, 3rd edition,2018

    BACKGROUND
  • Rosenbaum J, Usyk M, Chen Z, Zolnik CP, Jones HE, Waldron L, Dowd JB, Thorpe LE, Burk RD. Evaluation of Oral Cavity DNA Extraction Methods on Bacterial and Fungal Microbiota. Sci Rep. 2019 Feb 6;9(1):1531. doi: 10.1038/s41598-018-38049-6.

    PMID: 30728424BACKGROUND
  • Younossi ZM, Reyes MJ, Mishra A, Mehta R, Henry L. Systematic review with meta-analysis: non-alcoholic steatohepatitis - a case for personalised treatment based on pathogenic targets. Aliment Pharmacol Ther. 2014 Jan;39(1):3-14. doi: 10.1111/apt.12543. Epub 2013 Nov 10.

    PMID: 24206433BACKGROUND
  • Committee on the Review of Omics-Based Tests for Predicting Patient Outcomes in Clinical Trials; Board on Health Care Services; Board on Health Sciences Policy; Institute of Medicine; Micheel CM, Nass SJ, Omenn GS, editors. Evolution of Translational Omics: Lessons Learned and the Path Forward. Washington (DC): National Academies Press (US); 2012 Mar 23. Available from http://www.ncbi.nlm.nih.gov/books/NBK202168/

    PMID: 24872966BACKGROUND
  • Xin S, Zhan Q, Chen X, Xu J, Yu Y. Efficacy of serum miRNA test as a non-invasive method to diagnose nonalcoholic steatohepatitis: a systematic review and meta-analysis. BMC Gastroenterol. 2020 Jun 12;20(1):186. doi: 10.1186/s12876-020-01334-8.

    PMID: 32532204BACKGROUND
  • de Haan N, Falck D, Wuhrer M. Monitoring of immunoglobulin N- and O-glycosylation in health and disease. Glycobiology. 2020 Mar 20;30(4):226-240. doi: 10.1093/glycob/cwz048.

    PMID: 31281930BACKGROUND
  • Neuman MG, Cohen LB, Nanau RM. Biomarkers in nonalcoholic fatty liver disease. Can J Gastroenterol Hepatol. 2014 Dec;28(11):607-18. doi: 10.1155/2014/757929.

    PMID: 25575111BACKGROUND
  • Leoni S, Tovoli F, Napoli L, Serio I, Ferri S, Bolondi L. Current guidelines for the management of non-alcoholic fatty liver disease: A systematic review with comparative analysis. World J Gastroenterol. 2018 Aug 14;24(30):3361-3373. doi: 10.3748/wjg.v24.i30.3361.

    PMID: 30122876BACKGROUND
  • Vajro P, Lenta S, Socha P, Dhawan A, McKiernan P, Baumann U, Durmaz O, Lacaille F, McLin V, Nobili V. Diagnosis of nonalcoholic fatty liver disease in children and adolescents: position paper of the ESPGHAN Hepatology Committee. J Pediatr Gastroenterol Nutr. 2012 May;54(5):700-13. doi: 10.1097/MPG.0b013e318252a13f.

    PMID: 22395188BACKGROUND
  • Chow, S.C.; Shao, J.; Wang, H. 2003. Sample Size Calculations in Clinical Research. Marcel Dekker. New York.

    BACKGROUND
  • Cheah MC, McCullough AJ, Goh GB. Current Modalities of Fibrosis Assessment in Non-alcoholic Fatty Liver Disease. J Clin Transl Hepatol. 2017 Sep 28;5(3):261-271. doi: 10.14218/JCTH.2017.00009. Epub 2017 Jun 24.

    PMID: 28936407BACKGROUND
  • Castera L, Friedrich-Rust M, Loomba R. Noninvasive Assessment of Liver Disease in Patients With Nonalcoholic Fatty Liver Disease. Gastroenterology. 2019 Apr;156(5):1264-1281.e4. doi: 10.1053/j.gastro.2018.12.036. Epub 2019 Jan 18.

    PMID: 30660725BACKGROUND
  • Newby PK, Hu FB, Rimm EB, Smith-Warner SA, Feskanich D, Sampson L, Willett WC. Reproducibility and validity of the Diet Quality Index Revised as assessed by use of a food-frequency questionnaire. Am J Clin Nutr. 2003 Nov;78(5):941-9. doi: 10.1093/ajcn/78.5.941.

    PMID: 14594780BACKGROUND
  • Matsuda K. PCR-Based Detection Methods for Single-Nucleotide Polymorphism or Mutation: Real-Time PCR and Its Substantial Contribution Toward Technological Refinement. Adv Clin Chem. 2017;80:45-72. doi: 10.1016/bs.acc.2016.11.002. Epub 2017 Jan 4.

    PMID: 28431642BACKGROUND
  • Papari E, Noruzinia M, Kashani L, Foster WG. Identification of candidate microRNA markers of endometriosis with the use of next-generation sequencing and quantitative real-time polymerase chain reaction. Fertil Steril. 2020 Jun;113(6):1232-1241. doi: 10.1016/j.fertnstert.2020.01.026.

    PMID: 32482255BACKGROUND

MeSH Terms

Conditions

Non-alcoholic Fatty Liver Disease

Interventions

Genome

Condition Hierarchy (Ancestors)

Fatty LiverLiver DiseasesDigestive System Diseases

Intervention Hierarchy (Ancestors)

Genetic StructuresGenetic Phenomena

Study Officials

  • Ammal M Metwally

    National Research Centre of Egypt

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Ammal M Metwally, PhD (MD)

CONTACT

Iman H Kamel, PhD (MD)

CONTACT

Study Design

Study Type
observational
Observational Model
CASE CONTROL
Time Perspective
CROSS SECTIONAL
Target Duration
3 Months
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Prof. Public Health and Community Medicine

Study Record Dates

First Submitted

February 28, 2022

First Posted

March 29, 2022

Study Start

August 1, 2022

Primary Completion

December 30, 2023

Study Completion

April 30, 2024

Last Updated

June 3, 2022

Record last verified: 2022-06

Data Sharing

IPD Sharing
Will share

All IPD that underlie results in a publication will be shared

Shared Documents
STUDY PROTOCOL, CSR
Time Frame
After the end of the project implementation
Access Criteria
the data will be accessed through a drive with a link

Locations