title: Serum proteomic profiling of obese patients: correlation with liver pathology and evolution after bariatric surgery.
abstract: OBJECTIVE
  Chronic liver diseases, including cirrhosis, may develop in obese patients. Steatosis and non-alcoholic steatohepatitis (NASH) are risk factors for progression to fibrosis. To date, diagnosis of steatosis and NASH relies on liver biopsy. The aim of the study was to identify serum markers of steatosis and NASH in obese patients using SELDI-TOF ProteinChip.
  
  
  METHODS
  Eighty obese non-alcoholic patient candidates for bariatric surgery and devoid of hepatitis B and C infection were selected. Serum samples were collected before surgery and at 6 months after surgery for 33 of these patients. Wedge liver biopsy was performed at the time of bariatric surgery. Twenty-four serum samples from healthy blood donors served as controls. The protein profiles of each serum were assessed using SELDI-TOF ProteinChip technology and were compared according to liver histological lesions.
  
  
  RESULTS
  Twenty-four obese patients (30%) had non-significant liver lesions, 32 (40%) had significant steatosis and 24 (30%) had NASH. Comparison of serum protein profiles according to liver lesions identified three peaks (CM10-7558.4, CM10-7924.2 and Q10-7926.9) the intensity of which significantly increased according to the severity of the liver lesions (steatosis and NASH) and returned to normal after bariatric surgery. None was correlated with either liver function tests or metabolic parameters. Identification using immunoSELDI assay characterised these peaks as the double charged ions of alpha- and beta-haemoglobin subunits.
  
  
  CONCLUSIONS
  The differential proteomic method demonstrated changes in serum protein profiles in obese patients according to severity of liver lesions. Free haemoglobin subunits may serve as a serum biomarker of the severity of liver damages.
authors.affiliation: Centre de recherche Biomédical Bichat Beaujon, INSERM U773, Paris, France.
authors.forename: V
authors.initials: V
authors.lastname: Trak-Smayra
authors.forename: D
authors.initials: D
authors.lastname: Dargere
authors.forename: R
authors.initials: R
authors.lastname: Noun
authors.forename: M
authors.initials: M
authors.lastname: Albuquerque
authors.forename: C
authors.initials: C
authors.lastname: Yaghi
authors.forename: M-H
authors.initials: MH
authors.lastname: Gannagé-Yared
authors.forename: P
authors.initials: P
authors.lastname: Bedossa
authors.forename: V
authors.initials: V
authors.lastname: Paradis
mesh_terms: D000328:Adult; D000368:Aged; D019540:Area Under Curve; D050110:Bariatric Surgery; D015415:Biomarkers / Q000097:blood; D001798:Blood Proteins / Q000032:analysis*; D016022:Case-Control Studies; D005234:Fatty Liver / Q000097:blood / Q000473:pathology; D005260:Female; D005355:Fibrosis; D055554:Hemoglobin Subunits / Q000032:analysis; D006505:Hepatitis / Q000097:blood / Q000473:pathology; D006801:Humans; D008099:Liver / Q000473:pathology; D008107:Liver Diseases / Q000097:blood* / Q000473:pathology; D008297:Male; D008875:Middle Aged; D009767:Obesity, Morbid / Q000097:blood* / Q000473:pathology / Q000601:surgery*; D011184:Postoperative Period; D011446:Prospective Studies; D040081:Protein Array Analysis; D055815:Young Adult
chemical_list: D015415:Biomarkers; D001798:Blood Proteins; D055554:Hemoglobin Subunits