Gut Microbiota and Modulation of Liver Damage in NAFLD

NCT ID: NCT02158351

Last Updated: 2020-11-20

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Total Enrollment

44 participants

Study Classification

OBSERVATIONAL

Study Start Date

2013-11-30

Study Completion Date

2017-10-31

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Several experimental data suggest that gut-derived endotoxin and GM composition can act as a "second hit" or insult to convert hepatic SS to NASH and cause both local hepatic and systemic inflammation.This study's aim is to analyze microbiota diversity, providing information both on intestinal microbial composition and on the metabolic processes linked to them. In addition, we will correlate, for the first time, GM composition to hepatic and white adipose tissue gene expression patterns of interest and serum and fecal markers possibly related to impaired fat storage and inflammation. We aim to provide preliminary data to design future intervention studies with pre- or probiotics or bile acid derivatives to prevent/treat inflammation and fibrosis in NAFLD patients.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Non-alcoholic fatty liver disease (NAFLD) includes benign hepatic simple steatosis (SS) and the more severe steatohepatitis (NASH), which is characterized by inflammation and fibrosis potentially leading to cirrhosis and hepatocellular carcinoma. Current research is focused on what are the risk factors and determinants of NASH. NAFLD is associated with the metabolic syndrome, and the prevalence has been described to be up to 98% in morbidly obese individuals undergoing bariatric surgery. NAFLD in non-obese subjects have a different clinical profile than in obese individuals, being associated with insulin resistance (IR), differential distribution of visceral adipose tissue, recent increase in body weight and/or presence of overweight, intake of high cholesterol diet and genetic background.

Gut microbiota (GM) regulates fat metabolism in mice. In humans its alterations have been linked to diabetes, obesity, IR, atherosclerosis and inflammation, SS and NAFLD.

Several experimental data suggest that gut-derived endotoxin and GM composition can act as a "second hit" or insult to convert hepatic SS to NASH and cause both local hepatic and systemic inflammation. With regard to human studies, Muozaki et al. have recently showed, by using a polymerase chain reaction (PCR) TaqMan system approach, that obese patients with NASH, have a lower percentage of fecal Bacteroidetes (Bacteroidetes to total bacteria counts) compared to both SS and healthy controls and a higher percentage of C. coccoides compared to those with SS . In addition, Zhu et al. showed in pediatric subjects, by using a 16S ribosomal RNA detection method, an unique pattern of enterotypes in patients with NASH, in obese individuals with no sign of liver damage and in lean healthy controls. Finally, Wai-Sun Wong et al. showed, also using a 16S ribosomal RNA detection method, that a small group of Chinese NASH patients demonstrated fecal dysbiosis but not significant changes in biodiversity compared to healthy subjects. Finally, inflammation in patients with symptomatic atherosclerosis has been shown to be associated with lower levels of butyrate producing gut bacteria such as Roseburia.

Among the possible factors involved in determining NAFLD severity, serum bile acid (BA) concentration and its post-prandial variations have been recently linked to the regulation of body weight, liver fat and inflammation and glucose and lipid metabolism. These BA regulatory functions are mediated by their interaction with the farnesoid X receptor (FXR)and the G Protein-Coupled BA Receptor 1 (GPBAR1 or TGR5) at both hepatic and subcutaneous adipose tissue levels. No human study has been directed to investigating the mechanisms through which GM composition influences inflammation and fibrosis in both obese and non-obese patients with NAFLD.

Liver biopsy is clinically advisable during bariatric surgery, due to the high prevalence of NAFLD and NASH in morbidly obese patients. It has been previously suggested that the high prevalence of histologically proven NAFLD in patients with gallstones may also justify routine liver biopsy during cholecystectomy, even in non-obese subjects, to establish the diagnosis, stage, and possible therapy. The latter suggestion has been very recently reinforced by the evidence that, in humans, cholecystectomy may represent an independent risk factor for NAFLD detected at ultrasounds and by the experimental demonstration that cholecystectomy increases hepatic triglycerides content.

In the present research project we will study patients with histologically proven SS or with NASH. Liver biopsy will be performed during bariatric surgery (sleeve gastrectomy) or cholecystectomy in patients with preoperative evidence of NAFLD at ultrasounds. We will compare GM composition using, for the first time, the most accurate method available, that is metagenomic shotgun. This method allows to analyze microbiota diversity, providing information both on intestinal microbial composition and on the metabolic processes linked to them. In addition, we will correlate, for the first time, GM composition to hepatic and, only in the obese patients, also to white adipose tissue gene expression patterns of interest and serum and fecal markers possibly related to impaired fat storage and inflammation. We aim to provide preliminary data to design future intervention studies with pre- or probiotics or bile acid derivatives to prevent/treat inflammation and fibrosis in NAFLD patients.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Simple Steatosis (SS) Non-alcoholic Steatohepatitis (NASH) Obesity

Keywords

Explore important study keywords that can help with search, categorization, and topic discovery.

Simple steatosis (SS) Non-alcoholic steatohepatitis (NASH) Gut microbiota (GM) Non alcoholic fatty liver disease (NAFLD)

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

CASE_CONTROL

Study Time Perspective

CROSS_SECTIONAL

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

Simple steatosis

We will run a cross-sectional observational study including two groups of human subjects: patients with simple steatosis (SS) or non-alcoholic steatohepatitis (NASH). Grouping in patients SS or NASH will be performed based on the histological diagnosis of the type of NAFLD obtained at operation (sleeve gastrectomy or cholecystectomy). BMI will be considered as a confounding variable to be statistically analyzed. Main hypothesis: GM can lead to liver inflammation in patients with liver fat accumulation.

liver and white adipose tissue biopsies

Intervention Type PROCEDURE

Non-alcoholic steato-hepatitis

We will run a cross-sectional observational study including two groups of human subjects: patients with simple steatosis (SS) or non-alcoholic steatohepatitis (NASH). Grouping in patients SS or NASH will be performed based on the histological diagnosis of the type of NAFLD obtained at operation (sleeve gastrectomy or cholecystectomy). BMI will be considered as a confounding variable to be statistically analyzed. Main hypothesis: GM can lead to liver inflammation in patients with liver fat accumulation.

liver and white adipose tissue biopsies

Intervention Type PROCEDURE

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

liver and white adipose tissue biopsies

Intervention Type PROCEDURE

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

1. Male or female, equal or over 18 years old
2. Eligible for Sleeve Gastrectomy for obesity with BMI 35-50 kg/m2
3. Eligible for Cholecystectomy for symptomatic gallstones and bright liver at ultrasounds
4. Alcohol consumption is less than 20 g/d

Exclusion Criteria

1. Having liver disease of other etiology
2. Having advanced liver disease
3. Having abnormal coagulation or other reason contraindicating a Liver Biopsy
4. On regular intake of medications known to cause or exacerbate steatohepatitis or antibiotic, pre- or probiotics in the previous 3 months
5. Use of vitamin E or fish oil supplements in the previous 2 months
6. Alcohol consumption of more than 20 g/dl
7. Inflammatory bowel diseases
8. previous gastrointestinal surgery modifying the anatomy (prior to bariatric surgery)
9. Pregnancy or lactating state
Minimum Eligible Age

18 Years

Maximum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Göteborg University

OTHER

Sponsor Role collaborator

University of Roma La Sapienza

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

STEFANO GINANNI CORRADINI

MD, PhD

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Stefano Ginnani Corradini, MD, PhD

Role: STUDY_DIRECTOR

Department of Translational and Precision Medicine, "Sapienza", University of Rome

Fredrik Backhed, PhD

Role: STUDY_DIRECTOR

Wallenberg laboratoriet, Gotebörg, Sweden

Frida Leonetti, MD, PhD

Role: PRINCIPAL_INVESTIGATOR

University of Roma La Sapienza

Gianfranco Silecchia, MD

Role: PRINCIPAL_INVESTIGATOR

University of Roma La Sapienza

Francesco Gossetti, MD

Role: PRINCIPAL_INVESTIGATOR

University of Roma La Sapienza

Adriano De Santis, MD

Role: PRINCIPAL_INVESTIGATOR

University of Roma La Sapienza

Claudio Di Cristofano, MD

Role: PRINCIPAL_INVESTIGATOR

University of Roma La Sapienza

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Stefano Ginanni Corradini

Rome, , Italy

Site Status

Countries

Review the countries where the study has at least one active or historical site.

Italy

References

Explore related publications, articles, or registry entries linked to this study.

Vernon G, Baranova A, Younossi ZM. Systematic review: the epidemiology and natural history of non-alcoholic fatty liver disease and non-alcoholic steatohepatitis in adults. Aliment Pharmacol Ther. 2011 Aug;34(3):274-85. doi: 10.1111/j.1365-2036.2011.04724.x. Epub 2011 May 30.

Reference Type BACKGROUND
PMID: 21623852 (View on PubMed)

Yilmaz Y. NAFLD in the absence of metabolic syndrome: different epidemiology, pathogenetic mechanisms, risk factors for disease progression? Semin Liver Dis. 2012 Feb;32(1):14-21. doi: 10.1055/s-0032-1306422. Epub 2012 Mar 13.

Reference Type BACKGROUND
PMID: 22418884 (View on PubMed)

Backhed F, Manchester JK, Semenkovich CF, Gordon JI. Mechanisms underlying the resistance to diet-induced obesity in germ-free mice. Proc Natl Acad Sci U S A. 2007 Jan 16;104(3):979-84. doi: 10.1073/pnas.0605374104. Epub 2007 Jan 8.

Reference Type BACKGROUND
PMID: 17210919 (View on PubMed)

Karlsson FH, Tremaroli V, Nookaew I, Bergstrom G, Behre CJ, Fagerberg B, Nielsen J, Backhed F. Gut metagenome in European women with normal, impaired and diabetic glucose control. Nature. 2013 Jun 6;498(7452):99-103. doi: 10.1038/nature12198. Epub 2013 May 29.

Reference Type BACKGROUND
PMID: 23719380 (View on PubMed)

Ley RE, Turnbaugh PJ, Klein S, Gordon JI. Microbial ecology: human gut microbes associated with obesity. Nature. 2006 Dec 21;444(7122):1022-3. doi: 10.1038/4441022a.

Reference Type BACKGROUND
PMID: 17183309 (View on PubMed)

Musso G, Gambino R, Cassader M. Gut microbiota as a regulator of energy homeostasis and ectopic fat deposition: mechanisms and implications for metabolic disorders. Curr Opin Lipidol. 2010 Feb;21(1):76-83. doi: 10.1097/MOL.0b013e3283347ebb.

Reference Type BACKGROUND
PMID: 19915460 (View on PubMed)

Spencer MD, Hamp TJ, Reid RW, Fischer LM, Zeisel SH, Fodor AA. Association between composition of the human gastrointestinal microbiome and development of fatty liver with choline deficiency. Gastroenterology. 2011 Mar;140(3):976-86. doi: 10.1053/j.gastro.2010.11.049. Epub 2010 Dec 1.

Reference Type BACKGROUND
PMID: 21129376 (View on PubMed)

Frazier TH, DiBaise JK, McClain CJ. Gut microbiota, intestinal permeability, obesity-induced inflammation, and liver injury. JPEN J Parenter Enteral Nutr. 2011 Sep;35(5 Suppl):14S-20S. doi: 10.1177/0148607111413772. Epub 2011 Aug 1.

Reference Type BACKGROUND
PMID: 21807932 (View on PubMed)

Chassaing B, Etienne-Mesmin L, Gewirtz AT. Microbiota-liver axis in hepatic disease. Hepatology. 2014 Jan;59(1):328-39. doi: 10.1002/hep.26494. Epub 2013 Nov 15.

Reference Type BACKGROUND
PMID: 23703735 (View on PubMed)

Mouzaki M, Comelli EM, Arendt BM, Bonengel J, Fung SK, Fischer SE, McGilvray ID, Allard JP. Intestinal microbiota in patients with nonalcoholic fatty liver disease. Hepatology. 2013 Jul;58(1):120-7. doi: 10.1002/hep.26319. Epub 2013 May 14.

Reference Type BACKGROUND
PMID: 23401313 (View on PubMed)

Zhu L, Baker SS, Gill C, Liu W, Alkhouri R, Baker RD, Gill SR. Characterization of gut microbiomes in nonalcoholic steatohepatitis (NASH) patients: a connection between endogenous alcohol and NASH. Hepatology. 2013 Feb;57(2):601-9. doi: 10.1002/hep.26093. Epub 2013 Jan 8.

Reference Type BACKGROUND
PMID: 23055155 (View on PubMed)

Wong VW, Tse CH, Lam TT, Wong GL, Chim AM, Chu WC, Yeung DK, Law PT, Kwan HS, Yu J, Sung JJ, Chan HL. Molecular characterization of the fecal microbiota in patients with nonalcoholic steatohepatitis--a longitudinal study. PLoS One. 2013 Apr 25;8(4):e62885. doi: 10.1371/journal.pone.0062885. Print 2013.

Reference Type BACKGROUND
PMID: 23638162 (View on PubMed)

Karlsson FH, Fak F, Nookaew I, Tremaroli V, Fagerberg B, Petranovic D, Backhed F, Nielsen J. Symptomatic atherosclerosis is associated with an altered gut metagenome. Nat Commun. 2012;3:1245. doi: 10.1038/ncomms2266.

Reference Type BACKGROUND
PMID: 23212374 (View on PubMed)

Glicksman C, Pournaras DJ, Wright M, Roberts R, Mahon D, Welbourn R, Sherwood R, Alaghband-Zadeh J, le Roux CW. Postprandial plasma bile acid responses in normal weight and obese subjects. Ann Clin Biochem. 2010 Sep;47(Pt 5):482-4. doi: 10.1258/acb.2010.010040. Epub 2010 Jul 1.

Reference Type BACKGROUND
PMID: 20595403 (View on PubMed)

Vincent RP, Omar S, Ghozlan S, Taylor DR, Cross G, Sherwood RA, Fandriks L, Olbers T, Werling M, Alaghband-Zadeh J, le Roux CW. Higher circulating bile acid concentrations in obese patients with type 2 diabetes. Ann Clin Biochem. 2013 Jul;50(Pt 4):360-4. doi: 10.1177/0004563212473450. Epub 2013 Jun 14.

Reference Type BACKGROUND
PMID: 23771134 (View on PubMed)

Watanabe M, Horai Y, Houten SM, Morimoto K, Sugizaki T, Arita E, Mataki C, Sato H, Tanigawara Y, Schoonjans K, Itoh H, Auwerx J. Lowering bile acid pool size with a synthetic farnesoid X receptor (FXR) agonist induces obesity and diabetes through reduced energy expenditure. J Biol Chem. 2011 Jul 29;286(30):26913-20. doi: 10.1074/jbc.M111.248203. Epub 2011 Jun 1.

Reference Type BACKGROUND
PMID: 21632533 (View on PubMed)

Ma Y, Huang Y, Yan L, Gao M, Liu D. Synthetic FXR agonist GW4064 prevents diet-induced hepatic steatosis and insulin resistance. Pharm Res. 2013 May;30(5):1447-57. doi: 10.1007/s11095-013-0986-7. Epub 2013 Feb 1.

Reference Type BACKGROUND
PMID: 23371517 (View on PubMed)

Teodoro JS, Rolo AP, Palmeira CM. Hepatic FXR: key regulator of whole-body energy metabolism. Trends Endocrinol Metab. 2011 Nov;22(11):458-66. doi: 10.1016/j.tem.2011.07.002. Epub 2011 Aug 19.

Reference Type BACKGROUND
PMID: 21862343 (View on PubMed)

Mudaliar S, Henry RR, Sanyal AJ, Morrow L, Marschall HU, Kipnes M, Adorini L, Sciacca CI, Clopton P, Castelloe E, Dillon P, Pruzanski M, Shapiro D. Efficacy and safety of the farnesoid X receptor agonist obeticholic acid in patients with type 2 diabetes and nonalcoholic fatty liver disease. Gastroenterology. 2013 Sep;145(3):574-82.e1. doi: 10.1053/j.gastro.2013.05.042. Epub 2013 May 30.

Reference Type BACKGROUND
PMID: 23727264 (View on PubMed)

Keitel V, Haussinger D. Perspective: TGR5 (Gpbar-1) in liver physiology and disease. Clin Res Hepatol Gastroenterol. 2012 Oct;36(5):412-9. doi: 10.1016/j.clinre.2012.03.008. Epub 2012 Apr 18.

Reference Type BACKGROUND
PMID: 22521118 (View on PubMed)

Svensson PA, Olsson M, Andersson-Assarsson JC, Taube M, Pereira MJ, Froguel P, Jacobson P. The TGR5 gene is expressed in human subcutaneous adipose tissue and is associated with obesity, weight loss and resting metabolic rate. Biochem Biophys Res Commun. 2013 Apr 19;433(4):563-6. doi: 10.1016/j.bbrc.2013.03.031. Epub 2013 Mar 22.

Reference Type BACKGROUND
PMID: 23523790 (View on PubMed)

Shalhub S, Parsee A, Gallagher SF, Haines KL, Willkomm C, Brantley SG, Pinkas H, Saff-Koche L, Murr MM. The importance of routine liver biopsy in diagnosing nonalcoholic steatohepatitis in bariatric patients. Obes Surg. 2004 Jan;14(1):54-9. doi: 10.1381/096089204772787293.

Reference Type BACKGROUND
PMID: 14980034 (View on PubMed)

Lima ML, Mourao SC, Diniz MT, Leite VH. Hepatic histopathology of patients with morbid obesity submitted to gastric bypass. Obes Surg. 2005 May;15(5):661-9. doi: 10.1381/0960892053923888.

Reference Type BACKGROUND
PMID: 15946458 (View on PubMed)

Helling TS, Helzberg JH, Nachnani JS, Gurram K. Predictors of nonalcoholic steatohepatitis in patients undergoing bariatric surgery: when is liver biopsy indicated? Surg Obes Relat Dis. 2008 Sep-Oct;4(5):612-7. doi: 10.1016/j.soard.2007.11.007. Epub 2008 Jan 28.

Reference Type BACKGROUND
PMID: 18226970 (View on PubMed)

Dolce CJ, Russo M, Keller JE, Buckingham J, Norton HJ, Heniford BT, Gersin KS, Kuwada TS. Does liver appearance predict histopathologic findings: prospective analysis of routine liver biopsies during bariatric surgery. Surg Obes Relat Dis. 2009 May-Jun;5(3):323-8. doi: 10.1016/j.soard.2008.12.008. Epub 2009 Jan 23.

Reference Type BACKGROUND
PMID: 19356994 (View on PubMed)

Teixeira AR, Bellodi-Privato M, Carvalheira JB, Pilla VF, Pareja JC, D'Albuquerque LA. The incapacity of the surgeon to identify NASH in bariatric surgery makes biopsy mandatory. Obes Surg. 2009 Dec;19(12):1678-84. doi: 10.1007/s11695-009-9980-x.

Reference Type BACKGROUND
PMID: 19789933 (View on PubMed)

Junior WS, Nonino-Borges CB. Clinical predictors of different grades of nonalcoholic fatty liver disease. Obes Surg. 2012 Feb;22(2):248-52. doi: 10.1007/s11695-011-0438-6.

Reference Type BACKGROUND
PMID: 21598007 (View on PubMed)

Ramos-De la Medina A, Remes-Troche JM, Roesch-Dietlen FB, Perez-Morales AG, Martinez S, Cid-Juarez S. Routine liver biopsy to screen for nonalcoholic fatty liver disease (NAFLD) during cholecystectomy for gallstone disease: is it justified? J Gastrointest Surg. 2008 Dec;12(12):2097-102; discussion 2102. doi: 10.1007/s11605-008-0704-7. Epub 2008 Sep 30.

Reference Type BACKGROUND
PMID: 18825466 (View on PubMed)

Ruhl CE, Everhart JE. Relationship of non-alcoholic fatty liver disease with cholecystectomy in the US population. Am J Gastroenterol. 2013 Jun;108(6):952-8. doi: 10.1038/ajg.2013.70. Epub 2013 Apr 2.

Reference Type BACKGROUND
PMID: 23545713 (View on PubMed)

Nervi F, Arrese M. Cholecystectomy and NAFLD: does gallbladder removal have metabolic consequences? Am J Gastroenterol. 2013 Jun;108(6):959-61. doi: 10.1038/ajg.2013.84.

Reference Type BACKGROUND
PMID: 23735917 (View on PubMed)

Amigo L, Husche C, Zanlungo S, Lutjohann D, Arrese M, Miquel JF, Rigotti A, Nervi F. Cholecystectomy increases hepatic triglyceride content and very-low-density lipoproteins production in mice. Liver Int. 2011 Jan;31(1):52-64. doi: 10.1111/j.1478-3231.2010.02361.x. Epub 2010 Oct 29.

Reference Type BACKGROUND
PMID: 21040411 (View on PubMed)

Mande SS, Mohammed MH, Ghosh TS. Classification of metagenomic sequences: methods and challenges. Brief Bioinform. 2012 Nov;13(6):669-81. doi: 10.1093/bib/bbs054. Epub 2012 Sep 8.

Reference Type BACKGROUND
PMID: 22962338 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

2943/14.11.2013

Identifier Type: -

Identifier Source: org_study_id