To determine differences in omics data sets of several biological layers between men and women withand without NAFLD and investigate to what extent these signatures contribute to NAFLD development.Therefore, we will establish a reference repository…
ID
Source
Brief title
Condition
- Other condition
Synonym
Health condition
Galsteenlijden
Research involving
Sponsors and support
Intervention
Outcome measures
Primary outcome
To determine differences in omics data sets of several biological layers
between men and women with
and without NAFLD and investigate to what extent these signatures contribute to
NAFLD development.
Therefore, we will establish a reference repository of healthy liver biopsies
to establish an integrative
signature of healthy and diseased (NAFLD) liver metabolism in men and women. To
this end we will
collect on the day of surgery the following parameters.
1. Presence of NAFLD/NASH parameters in liver biopsy using histology (NASH-CRN
/ Steatosis Activity and Fibrosis Score)8 and liver RNA sequencing
Secondary outcome
1. Presence of bacterial DNA, histology and inflammatory genes (RNA seq) liver
and abdominal adipose tissue depots as well as metabolites in plasma, feces and
urine
2. Fecal and oral microbiota composition
3. Dietary, psychology and satiety lists and excreted metabolites
4. Clinical data (body weight and composition), waist circumference and blood
pressure
5. Genomic DNA (buffy coat)
6. 7. Gallbladder tissue and bile acid collection after cholecystectomy surgery
Background summary
The current estimated global prevalence of non-alcoholic fatty liver disease
(NAFLD) is 25 - 30% and
is diagnosed in up to 80% of individuals with obesity and type 2 diabetes (T2D)
1,2. The rapidly growing
prevalence of NAFLD and lack of effective treatment options to tackle this
potentially debilitating
disease, will further increase obesity-related burden on public health and
economies.
In order to develop appropriate, non-invasive diagnostic methods and treatment
options, it is critical to
deeply investigate the complex pathophysiology of NAFLD. Genome-wide analysis
of large cohorts
(containing hundreds of patients to insure the robustness of results), is
required to obtain insight in
hepatic metabolism in NAFLD. A number of such genome-wide transcriptomic
studies have indeed
characterized alterations in hepatic gene expression in individuals with NAFLD
and its more severe,
progressive form non-alcoholic steatohepatitis (NASH). Nevertheless, these
studies have thus far
not been able to define a predictive transcriptome signature for NAFLD.
Multiple confounding factors
such as differences in genetic origin, sex and unappreciated environmental
factors, including the gut
microbiota, might have contributed to this.
Our unpublished liver and adipose tissue transcriptomics, fecal metagenomics
and plasma metabolomics
data show striking differences in gene expression and metabolite profiles in
female vs male NAFLD
patients (BARIA study METC 2015_357). This implies that there are strong sex
differences in
hepatocellular and systemic processes in the pathophysiology of this disease.
In addition, this
emphasizes the uprising awareness in the field to develop tailored (men vs
women) treatment and
prevention regimes for NAFLD.
Our transcriptomics, fecal metagenomics and metabolomics data were derived from
obese NAFLD
patients. Because all participants were (morbidly) obese, and hence
metabolically challenged, it is
difficult to interpret if the strong transcriptomic/metabolic sex differences
are driven by a male- or
female-specific metabolic response to obesity or whether it is a *true* sex
difference. Obtaining liver
transcriptomic, fecal metagenomic and plasma metabolic data from non-obese,
otherwise healthy
individuals will be critical to 1) better understand the basis of NAFLD
development and 2) develop
tailored (men vs women) preventive or treatment strategies for this disease.
Our research question therefore is how omics data of several biological layers
are different between men
and women with and without NAFLD and to what extent these signatures contribute
to NAFLD
development.
To answer this question, we will establish liver transcriptomic, fecal
metagenomic and plasma
metabolomics profiles of otherwise healthy men and women. Therefore, we will
set up a cross-sectional
cohort and include non-obese, otherwise healthy individuals scheduled for
cholecystectomy. Using
state-of-the-art sequencing and systems biology approaches, we can integrate
plasma/urinary
metabolomics, liver and adipose transcriptomic and fecal metagenomics data to
create a unique much
needed signature of healthy individuals (men and women). This database will be
integrated in our large
cohort of obese men and women with and without NAFLD (BARIA study METC
2015_357).
Study objective
To determine differences in omics data sets of several biological layers
between men and women with
and without NAFLD and investigate to what extent these signatures contribute to
NAFLD development.
Therefore, we will establish a reference repository of healthy liver biopsies
to establish an integrative
signature of healthy and diseased (NAFLD) liver metabolism in men and women.
Study design
Cross-sectional cohort study.
Study burden and risks
Participants scheduled for laparoscopic cholecystectomy will be recruited from
the outpatient clinics of Surgery and Internal Medicine at Spaarne Gasthuis
hospital. After provision of informed consent, biological samples (blood, urine
and feces) will be collected on the day of surgery and will be asked to fill in
a psychological questionnaire. During cholecystectomy, a liver and mesenteric,
omental and subcutaneous adipose tissue biopsy will be obtained. The risk of
bleeding from the biopsy sites during the surgery procedure is very low because
the biopsy sites are completely visible to the surgeon and local haemostasis
will be checked. Moreover, bleeding disorders are an exclusion criterion. Total
amount of blood taken is 40 ml (once for screening 20 ml and once on day of
surgery 20 ml). This study will function as a much-needed reference database
for all ongoing human trials investigating human liver disease including NAFLD.
We therefore believe that the scientific insight of our findings will outweigh
the minimal risks for the participating individuals in this study.
Meibergdreef 9
Amsterdam 1105AZ
NL
Meibergdreef 9
Amsterdam 1105AZ
NL
Listed location countries
Age
Inclusion criteria
- 18-65 years of age
- BMI < 30 kg/m2
- Individual should be able to give informed consent
Exclusion criteria
- Type 2 diabetes mellitus
- Prior bariatric surgery
- Inflammatory bowel disease
- Primary lipid disorder
- Known genetic basis for insulin resistance or glucose intolerance
- Ethanol intake > 2 U/week
- Pregnancy, females who are breastfeeding
- Hepatitis B and/or C
- Liver cirrhosis
- Auto-immune hepatitis
- Wilson disease3/ alpha 1-antitripsine deficiency
- Hemochromatosis
Design
Recruitment
Followed up by the following (possibly more current) registration
No registrations found.
Other (possibly less up-to-date) registrations in this register
No registrations found.
In other registers
Register | ID |
---|---|
CCMO | NL74348.018.20 |