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Gao XH, Li JQ, Khan F, Chouhan H, Yu GY, Remer E, Stocchi L, Hull TL, Shen B. Difference in the frequency of pouchitis between ulcerative colitis and familial adenomatous polyposis: is the explanation in peripouch fat? Colorectal Dis 2019; 21:1032-1044. [PMID: 30985958 DOI: 10.1111/codi.14651] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Accepted: 02/27/2019] [Indexed: 02/08/2023]
Abstract
AIM Patients with ulcerative colitis (UC) have an unexplained higher incidence of pouchitis and a greater amount of peripouch fat compared with patients with familial adenomatous polyposis (FAP). The aims of this study were to compare the peripouch fat areas between patients with UC and patients with FAP, and to explore relationship between peripouch fat and pouchitis or chronic antibiotic-refractory pouchitis (CARP). METHOD Patients with an abdominal CT image from our prospectively maintained Pouch Database were included. Abdominal fat and peripouch fat were measured on CT images at different levels or planes. Comparisons of peripouch fat and CARP were performed before and after propensity score matching. RESULTS A total of 277 patients with UC and 40 patients with FAP were included. Compared with patients with FAP, patients with UC were found to have a higher incidence of pouchitis (58.5% vs 15.0%, P < 0.001) and CARP (24.5% vs 2.5%, P = 0.002) and a higher total peripouch fat area (P = 0.030) and mesenteric peripouch fat area (P = 0.022) at Level-3. Univariate and multivariate analyses showed that diagnosis (UC vs FAP) and peripouch fat areas at Level-3 and Level-5 were independent risk factors for CARP. With propensity score matching, 38 pairs of patients with UC and FAP were matched successfully. After matching, patients with UC were found to have higher total peripouch fat area and higher mesenteric peripouch fat area at Level-3, and a higher incidence of pouchitis (57.9% vs 13.2%, P < 0.001) and CARP (23.7% vs 2.6%, P = 0.007). CONCLUSION Our study demonstrates that patients with UC have more peripouch fat than those with FAP, which may explain the difference in the frequency of pouchitis and CARP between these groups of patients.
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Affiliation(s)
- X H Gao
- Department of Colorectal Surgery, the Cleveland Clinic Foundation, Cleveland, Ohio, USA.,Department of Colorectal Surgery, Changhai Hospital, Shanghai, China
| | - J Q Li
- Department of Colorectal Surgery, Changhai Hospital, Shanghai, China
| | - F Khan
- Department of Gastroenterology/Hepatology/Nutritionthe, Cleveland Clinic Foundation, Cleveland, Ohio, USA
| | - H Chouhan
- Department of Colorectal Surgery, the Cleveland Clinic Foundation, Cleveland, Ohio, USA
| | - G Y Yu
- Department of Colorectal Surgery, Changhai Hospital, Shanghai, China
| | - E Remer
- Department of Abdominal Imaging, the Cleveland Clinic Foundation, Cleveland, Ohio, USA
| | - L Stocchi
- Department of Colorectal Surgery, the Cleveland Clinic Foundation, Cleveland, Ohio, USA
| | - T L Hull
- Department of Colorectal Surgery, the Cleveland Clinic Foundation, Cleveland, Ohio, USA
| | - B Shen
- Department of Gastroenterology/Hepatology/Nutritionthe, Cleveland Clinic Foundation, Cleveland, Ohio, USA
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Singh RG, Cervantes A, Kim JU, Nguyen NN, DeSouza SV, Dokpuang D, Lu J, Petrov MS. Intrapancreatic fat deposition and visceral fat volume are associated with the presence of diabetes after acute pancreatitis. Am J Physiol Gastrointest Liver Physiol 2019; 316:G806-G815. [PMID: 30920289 DOI: 10.1152/ajpgi.00385.2018] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Ectopic fat and abdominal adiposity phenotypes have never been studied holistically in individuals after acute pancreatitis (AP). The aim of the study was to investigate phenotypical differences in ectopic fat and abdominal fat between individuals after AP (with and without diabetes) and to determine the role of pancreatitis-related factors. Eighty-four individuals were studied cross-sectionally after a median of 21.5 mo since last episode of AP and were categorized into "diabetes" and "no diabetes" groups. Twenty-eight healthy volunteers were also recruited. With the use of magnetic resonance imaging, intrapancreatic fat percentage, liver fat percentage, visceral fat volume (VFV), subcutaneous fat volume, and visceral-to-subcutaneous (V/S) fat volume ratio were quantified. Analysis of variance was used to investigate the differences in these phenotypes between the groups. All analyses were adjusted for age and sex. Linear regression analysis was used to investigate the association between pancreatitis-related factors and the studied phenotypes. Intrapancreatic fat percentage was significantly higher in the diabetes group (10.2 ± 1.2%) compared with the no diabetes (9.2 ± 1.7%) and healthy volunteers (7.9 ± 1.9%) groups (P < 0.001). VFV was significantly higher in the diabetes (2,715.3 ±1,077.6 cm3) compared with no diabetes (1,983.2 ± 1,092.4 cm3) and healthy volunteer (1,126.2 ± 740.4 cm3) groups (P < 0.001). V/S fat volume ratio was significantly higher in the diabetes (0.97 ± 0.27) compared with no diabetes (0.68 ± 0.42) and healthy volunteer (0.52 ± 0.34) groups (P = 0.001). Biliary AP was associated with significantly higher intrapancreatic fat percentage (β = 0.67; 95% CI, 0.01, 1.33; P = 0.047). C-reactive protein levels during hospitalization for AP were associated with significantly higher VFV (β = 3.32; 95% CI, 1.68, 4.96; P < 0.001). In conclusion, individuals with diabetes after AP have higher intrapancreatic fat percentage, VFV, and V/S fat volume ratio. Levels of C-reactive protein during AP are significantly associated with VFV, whereas biliary AP is significantly associated with intrapancreatic fat percentage. NEW & NOTEWORTHY Individuals with diabetes after acute pancreatitis have significantly higher intrapancreatic fat percentage and visceral fat volume compared with individuals without diabetes after acute pancreatitis and healthy controls. C-reactive protein levels during hospitalization for acute pancreatitis and biliary etiology of acute pancreatitis are associated with significantly larger visceral fat and pancreatic fat depots, respectively.
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Affiliation(s)
- Ruma G Singh
- School of Medicine, University of Auckland , Auckland , New Zealand
| | - Aya Cervantes
- School of Medicine, University of Auckland , Auckland , New Zealand
| | - Jin Uk Kim
- School of Medicine, University of Auckland , Auckland , New Zealand
| | - Ngoc Nhu Nguyen
- School of Medicine, University of Auckland , Auckland , New Zealand
| | - Steve V DeSouza
- School of Medicine, University of Auckland , Auckland , New Zealand
| | - Dech Dokpuang
- School of Science and School of Interprofessional Health Studies, Auckland University of Technology , Auckland , New Zealand
| | - Jun Lu
- School of Science and School of Interprofessional Health Studies, Auckland University of Technology , Auckland , New Zealand
| | - Maxim S Petrov
- School of Medicine, University of Auckland , Auckland , New Zealand
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Maurice F, Dutour A, Vincentelli C, Abdesselam I, Bernard M, Dufour H, Lefur Y, Graillon T, Kober F, Cristofari P, Jouve E, Pini L, Fernandez R, Chagnaud C, Brue T, Castinetti F, Gaborit B. Active cushing syndrome patients have increased ectopic fat deposition and bone marrow fat content compared to cured patients and healthy subjects: a pilot 1H-MRS study. Eur J Endocrinol 2018; 179:307-317. [PMID: 30108093 DOI: 10.1530/eje-18-0318] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Revised: 08/10/2018] [Accepted: 08/14/2018] [Indexed: 01/24/2023]
Abstract
OBJECTIVE Glucocorticoid excess is one of the most important causes of bone disorders. Bone marrow fat (BMF) has been identified as a l new mediator of bone metabolism. Cushing syndrome (CS), is a main regulator of adipose tissue distribution but its impact on BMF is unknown. The objective of the study was to evaluate the effect of chronic hypercortisolism on BMF. DESIGN This was a cross-sectional study. Seventeen active and seventeen cured ACTH-dependent CS patients along with seventeen controls (matched with the active group for age and sex) were included. METHODS the BMF content of the femoral neck and L3 vertebrae were measured by 1H-MRS on a 3-Tesla wide-bore magnet. BMD was evaluated in patients using dual-energy X-ray absorptiometry. RESULTS Active CS patients had higher BMF content both in the femur (82.5±2.6%) and vertebrae (70.1±5.1%) compared to the controls (70.8±3.6%, p=0.013 and 49.0±3.7% p=0.005, respectively). In cured CS patients (average remission time of 43 months), BMF content was not different from controls at both sites (72.3±2.9% (femur) and 46.7%±5.3% (L3)). BMF content was positively correlated with age, fasting plasma glucose, HbA1c, triglycerides and visceral adipose tissue in the whole cohort and negatively correlated with BMD values in the CS patients . CONCLUSIONS Accumulation of BMF is induced by hypercortisolism. In remission patients BMF reached values of controls. Further studies are needed to determine whether this increase in marrow adiposity in CS is associated with bone loss.
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Affiliation(s)
- F Maurice
- Aix Marseille Univ, INSERM, INRA, C2VN, Marseille, France
- Department of Endocrinology, Pôle ENDO, APHM, Marseille, France
| | - A Dutour
- Aix Marseille Univ, INSERM, INRA, C2VN, Marseille, France
- Department of Endocrinology, Pôle ENDO, APHM, Marseille, France
| | - C Vincentelli
- Aix Marseille Univ, INSERM, INRA, C2VN, Marseille, France
- Department of Endocrinology, Pôle ENDO, APHM, Marseille, France
| | - I Abdesselam
- Aix Marseille Univ, INSERM, INRA, C2VN, Marseille, France
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France
| | - M Bernard
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France
| | - H Dufour
- Department of Neurosurgery, APHM, CHU Timone, Marseille, France
| | - Y Lefur
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France
| | - T Graillon
- Department of Neurosurgery, APHM, CHU Timone, Marseille, France
| | - F Kober
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France
| | | | - E Jouve
- Medical Evaluation Department, Assistance-Publique Hôpitaux de Marseille, CIC-CPCET, Marseille, France
| | - L Pini
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France
| | - R Fernandez
- Radiology Department, Conception Hospital, Marseille, France
| | - C Chagnaud
- Radiology Department, Conception Hospital, Marseille, France
| | - T Brue
- Aix-Marseille Univ, Institut National de la Santé et de la Recherche Médicale (INSERM), U1251, Marseille Medical Genetics (MMG), Marseille, France
- Department of Endocrinology, Assistance Publique - Hôpitaux de Marseille (AP-HM), Hôpital de la Conception, Centre de Référence des Maladies Rares Hypophysaires HYPO, Marseille, France
| | - F Castinetti
- Aix-Marseille Univ, Institut National de la Santé et de la Recherche Médicale (INSERM), U1251, Marseille Medical Genetics (MMG), Marseille, France
- Department of Endocrinology, Assistance Publique - Hôpitaux de Marseille (AP-HM), Hôpital de la Conception, Centre de Référence des Maladies Rares Hypophysaires HYPO, Marseille, France
| | - B Gaborit
- Aix Marseille Univ, INSERM, INRA, C2VN, Marseille, France
- Department of Endocrinology, Pôle ENDO, APHM, Marseille, France
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Garteiser P, Doblas S, Towner RA, Griffin TM. Calibration of a semi-automated segmenting method for quantification of adipose tissue compartments from magnetic resonance images of mice. Metabolism 2013; 62:1686-95. [PMID: 23890668 PMCID: PMC3809152 DOI: 10.1016/j.metabol.2013.06.009] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2013] [Revised: 05/13/2013] [Accepted: 06/11/2013] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To use an automated water-suppressed magnetic resonance imaging (MRI) method to objectively assess adipose tissue (AT) volumes in whole body and specific regional body components (subcutaneous, thoracic and peritoneal) of obese and lean mice. MATERIALS/METHODS Water-suppressed MR images were obtained on a 7T, horizontal-bore MRI system in whole bodies (excluding head) of 26 week old male C57BL6J mice fed a control (10% kcal fat) or high-fat diet (60% kcal fat) for 20 weeks. Manual (outlined regions) versus automated (Gaussian fitting applied to threshold-weighted images) segmentation procedures were compared for whole body AT and regional AT volumes (i.e., subcutaneous, thoracic, and peritoneal). The AT automated segmentation method was compared to dual-energy X-ray (DXA) analysis. RESULTS The average AT volumes for whole body and individual compartments correlated well between the manual outlining and the automated methods (R2>0.77, p<0.05). Subcutaneous, peritoneal, and total body AT volumes were increased 2-3 fold and thoracic AT volume increased more than 5-fold in diet-induced obese mice versus controls (p<0.05). MRI and DXA-based method comparisons were highly correlative (R2=0.94, p<0.0001). CONCLUSIONS Automated AT segmentation of water-suppressed MRI data using a global Gaussian filtering algorithm resulted in a fairly accurate assessment of total and regional AT volumes in a pre-clinical mouse model of obesity.
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Affiliation(s)
- Philippe Garteiser
- Advanced Magnetic Resonance Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104
| | - Sabrina Doblas
- Advanced Magnetic Resonance Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104
| | - Rheal A. Towner
- Advanced Magnetic Resonance Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104
- Corresponding author: Rheal A. Towner, Advanced Magnetic Resonance Center, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104; Phone: (405) 271-7383;
| | - Timothy M. Griffin
- Free Radical Biology & Aging, Oklahoma Medical Research Foundation, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104
- Department of Biochemistry and Molecular Biology and Department of Geriatric Medicine, Reynolds Oklahoma Center on Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104
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Valentinitsch A, Karampinos DC, Alizai H, Subburaj K, Kumar D, Link TM, Majumdar S. Automated unsupervised multi-parametric classification of adipose tissue depots in skeletal muscle. J Magn Reson Imaging 2012; 37:917-27. [PMID: 23097409 DOI: 10.1002/jmri.23884] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2012] [Accepted: 09/14/2012] [Indexed: 12/24/2022] Open
Abstract
PURPOSE To introduce and validate an automated unsupervised multi-parametric method for segmentation of the subcutaneous fat and muscle regions to determine subcutaneous adipose tissue (SAT) and intermuscular adipose tissue (IMAT) areas based on data from a quantitative chemical shift-based water-fat separation approach. MATERIALS AND METHODS Unsupervised standard k-means clustering was used to define sets of similar features (k = 2) within the whole multi-modal image after the water-fat separation. The automated image processing chain was composed of three primary stages: tissue, muscle, and bone region segmentation. The algorithm was applied on calf and thigh datasets to compute SAT and IMAT areas and was compared with a manual segmentation. RESULTS The IMAT area using the automatic segmentation had excellent agreement with the IMAT area using the manual segmentation for all the cases in the thigh (R(2): 0.96) and for cases with up to moderate IMAT area in the calf (R(2): 0.92). The group with the highest grade of muscle fat infiltration in the calf had the highest error in the inner SAT contour calculation. CONCLUSION The proposed multi-parametric segmentation approach combined with quantitative water-fat imaging provides an accurate and reliable method for an automated calculation of the SAT and IMAT areas reducing considerably the total postprocessing time.
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Affiliation(s)
- Alexander Valentinitsch
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.
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