Regulation of the fibrosis and angiogenesis promoter SPARC/osteonectin in human adipose tissue by weight change, leptin, insulin, and glucose

This is the final version of the article. Available from the publisher via the DOI in this record.OBJECTIVE: Matricellular Secreted Protein, Acidic and Rich in Cysteine (SPARC), originally discovered in bone as osteonectin, is a mediator of collagen deposition and promotes fibrosis. Adipose tissue collagen has recently been found to be linked with metabolic dysregulation. Therefore, we tested the hypothesis that SPARC in human adipose tissue is influenced by glucose metabolism and adipokines. RESEARCH DESIGN AND METHODS: Serum and adipose tissue biopsies were obtained from morbidly obese nondiabetic subjects undergoing bariatric surgery and lean control subjects for analysis of metabolic markers, SPARC, and various cytokines (RT-PCR). Additionally, 24 obese subjects underwent a very-low-calorie diet of 1,883 kJ (450 kcal)/day for 16 weeks and serial subcutaneous-abdominal-adipose tissue (SCAT) biopsies (weight loss: 28 +/- 3.7 kg). Another six lean subjects underwent fast-food-based hyperalimentation for 4 weeks (weight gain: 7.2 +/- 1.6 kg). Finally, visceral adipose tissue explants were cultured with recombinant leptin, insulin, and glucose, and SPARC mRNA and protein expression determined by Western blot analyses. RESULTS: SPARC expression in human adipose tissue correlated with fat mass and was higher in SCAT. Weight loss induced by very-low-calorie diet lowered SPARC expression by 33% and increased by 30% in adipose tissue of subjects gaining weight after a fast-food diet. SPARC expression was correlated with leptin independent of fat mass and correlated with homeostasis model assessment-insulin resistance. In vitro experiments showed that leptin and insulin potently increased SPARC production dose dependently in visceral adipose tissue explants, while glucose decreased SPARC protein. CONCLUSIONS: Our data suggest that SPARC expression is predominant in subcutaneous fat and its expression and secretion in adipose tissue are influenced by fat mass, leptin, insulin, and glucose. The profibrotic effects of SPARC may contribute to metabolic dysregulation in obesity.This work was supported by Diabetes UK, Swedish Research Council (11285), University Hospital of Linkoping Research Funds; Diabetes Research Centre of Linkoping University; and the Gamla Tjaenarinnor Foundation. No potential conflicts of interest relevant to this article were reported. Parts of this study were presented in abstract form at the 69th Scientific Sessions of the American Diabetes Association, New Orleans, Louisiana, 5–9 June 2009

Effect of Contemporary Bariatric Surgical Procedures on Type 2 Diabetes Remission. A Population-Based Matched Cohort Study.

OBJECTIVE: The objective of the study is to evaluate the effect of gastric banding, gastric bypass and sleeve gastrectomy on medium to long-term diabetes control in obese participants with type 2 diabetes mellitus. RESEARCH DESIGN AND METHODS: Matched cohort study using primary care electronic health records from the UK Clinical Practice Research Datalink. Obese participants with type 2 diabetes who received bariatric surgery from 2002 to 2014 were compared with matched control participants who did not receive BS. Remission was defined for each year of follow-up as HbA1c <6.5 % and no antidiabetic drugs prescribed. RESULTS: There were 826 obese participants with T2DM who received bariatric surgery including adjustable gastric banding (LAGB) 220; gastric bypass (GBP) 449; or sleeve gastrectomy (SG) 153; with four procedures undefined. Mean HbA1c declined from 8.0 % before BS to 6.5 % in the second postoperative year; proportion with HbA1c <6.5 % (<48 mmol/mol) increased from 17 to 47 %. The proportion of patients in remission was 30 % in the second year, being 20 % for LAGB, 34 % for GBP and 38 % for SG. The adjusted relative rate of remission over the first six postoperative years was 5.97 (4.86 to 7.33, P < 0.001) overall; for LAGB 3.32 (2.27 to 4.86); GBP 7.16 (5.64 to 9.08); and SG 6.82 (5.05 to 9.19). Rates of remission were maintained into the sixth year of follow-up. CONCLUSIONS: Remission of diabetes may continue for up to 6 years after bariatric surgical procedures. Diabetes outcomes are generally more favourable after gastric bypass or sleeve gastrectomy than LAGB

Low-frequency variants in HMGA1 are not associated with type 2 diabetes risk.

It has recently been suggested that the low-frequency c.136-14_136-13insC variant in high-mobility group A1 (HMGA1) may strongly contribute to insulin resistance and type 2 diabetes risk. In our study, we attempted to confirm that HMGA1 is a novel type 2 diabetes locus in French Caucasians. The gene was sequenced in 368 type 2 diabetic case subjects with a family history of type 2 diabetes and 372 normoglycemic control subjects without a family history of type 2 diabetes. None of the 41 genetic variations identified were associated with type 2 diabetes. The lack of association between the c.136-14_136-13insC variant and type 2 diabetes was confirmed in an independent French group of 4,538 case subjects and 4,015 control subjects and in a large meta-analysis of 16,605 case subjects and 46,179 control subjects. Finally, this variant had no effects on metabolic traits and was not involved in variations of HMGA1 and insulin receptor (INSR) expressions. The c.136-14_136-13insC variant was not associated with type 2 diabetes in individuals of European descent. Our study emphasizes the need to analyze a large number of subjects to reliably assess the association of low-frequency variants with the disease

The rise of multiple imputation: a review of the reporting and implementation of the method in medical research

BACKGROUND: Missing data are common in medical research, which can lead to a loss in statistical power and potentially biased results if not handled appropriately. Multiple imputation (MI) is a statistical method, widely adopted in practice, for dealing with missing data. Many academic journals now emphasise the importance of reporting information regarding missing data and proposed guidelines for documenting the application of MI have been published. This review evaluated the reporting of missing data, the application of MI including the details provided regarding the imputation model, and the frequency of sensitivity analyses within the MI framework in medical research articles. METHODS: A systematic review of articles published in the Lancet and New England Journal of Medicine between January 2008 and December 2013 in which MI was implemented was carried out. RESULTS: We identified 103 papers that used MI, with the number of papers increasing from 11 in 2008 to 26 in 2013. Nearly half of the papers specified the proportion of complete cases or the proportion with missing data by each variable. In the majority of the articles (86%) the imputed variables were specified. Of the 38 papers (37%) that stated the method of imputation, 20 used chained equations, 8 used multivariate normal imputation, and 10 used alternative methods. Very few articles (9%) detailed how they handled non-normally distributed variables during imputation. Thirty-nine papers (38%) stated the variables included in the imputation model. Less than half of the papers (46%) reported the number of imputations, and only two papers compared the distribution of imputed and observed data. Sixty-six papers presented the results from MI as a secondary analysis. Only three articles carried out a sensitivity analysis following MI to assess departures from the missing at random assumption, with details of the sensitivity analyses only provided by one article. CONCLUSIONS: This review outlined deficiencies in the documenting of missing data and the details provided about imputation. Furthermore, only a few articles performed sensitivity analyses following MI even though this is strongly recommended in guidelines. Authors are encouraged to follow the available guidelines and provide information on missing data and the imputation process. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12874-015-0022-1) contains supplementary material, which is available to authorized users

Increased expression of vascular endothelial growth factor-a in seasonal allergic rhinitis

Increased vascular dilatation and permeability characterize allergic rhinitis. In this study oligonucleotide microarrays (Affymetrix HuGe95A) were used to identify differentially expressed vasoactive genes in nasal biopsies from 23 patients with symptomatic seasonal allergic rhinitis (SAR) and 12 healthy controls. RNA was extracted from the biopsies and pooled in three patient and three control pools. Out of 12 626 analysed transcripts, 39 were higher and 81 lower in the patients. Of these transcripts two have vasoactive effects: Vascular Endothelial Growth Factor-A (VEGF-A) and the Beta-1-Adrenergic Receptor. Both were higher in patients than in controls. The mean +/- SEM expression levels in arbitrary units of VEGF-A were 130 123 in the patients and 59 53 in the controls. The fold ratio in expression levels between patients/ controls was 2.2. The corresponding values for the beta-1-adrenergic receptor were 129 +/-123 in the patients and 40 +/- 31 in the controls. The fold ratio between patient/controls was 3.2. The role of VEGF-A was assessed by determining VEGF-A concentrations in nasal fluids from another 30 patients with SAR before and after allergen provocation. VEGF-A increased from 1243 +/- 30.2 to 163.2 +/- 37.8 pg/ml after challenge, P<0.05. In summary, oligonucleotide microarray analysis of nasal biopsies and protein analyses of nasal fluids indicate that VEGF-A may be an important mediator in SAR. (C) 2003 Elsevier Science Ltd. All rights reserved

DNA microarray analysis of chromosomal susceptibility regions to identify candidate genes for allergic disease: A pilot study

Objective-To examine whether DNA microarray analysis of chromosomal susceptibility regions for allergy can help to identify candidate genes. Material and Methods-Nasal biopsies were obtained from 23 patients with allergic rhinitis and 12 healthy controls. RNA was extracted from the biopsies and pooled into three patient and three control pools. These were then analysed in duplicate with DNA microarrays containing 12626 genes. Candidate genes were further examined in nasal biopsies (real-time polymerase chain reaction) and blood samples (single nucleotide polymorphisms) from other patients with allergic rhinitis and from controls. Results-A total of 37 differentially expressed genes were identified according to criteria involving both the size and consistency of the gene expression levels. The chromosomal location of these genes was compared with the chromosomal susceptibility regions for allergic disease. Using a statistical method, five genes were identified in these regions, including serine protease inhibitor, Kazal type, 5 (SPINK5) and HLA-DRB2. The relevance of these genes was examined in other patients with allergic rhinitis and in controls; none of the genes were differentially expressed in nasal biopsies. Moreover, no association between allergic rhinitis and SPINK5 polymorphisms was found, at either the genotype or haplotype level. Conclusions-DNA microarray analysis of chromosomal susceptibility regions did not lead to identification of candidate genes that could be validated in a new material. However, because gene polymorphisms may cause differential gene expression, further studies, including validation data, are needed to examine this approach