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Currently, there is a worldwide increase of patients with type 2 diabetes (T2D). During the progression of healthy obese to T2D status, there is an influx of immune cells, in particular macrophages, into visceral adipose tissue, accompanied by an increase of inflammatory cytokines, such as, IL6, TNFα and Hp. To get a better insight in the underlying mechanisms, we performed a quantitative LCMS analysis on a modified in vitro assay, combining 3T3L1 adipocytes and activated RAW264.7 macrophages, thus mimicking inflamed adipose tissue. Clinically known proteins, e.g. IL6, TNFα, AdipoQ, complement factor C3, B and D were identified, thus confirming the assay. In addition, we found 54 new proteins that can potentially be used for research into the mechanism of T2D. Comparison of our results to a study on human visceral fat of obese non-diabetic and obese diabetic subjects, indicated that AUH, NAGK, pCYT2, NNMT, STK39 and CSNK2A2 might indeed be linked to insulin resistance in humans. Moreover, the expression of some of these genes was also altered in human blood samples at early or later stages of insulin desensitization. Overall, we conclude that the direct contact co-culture of 3T3L1 adipocytes with activated macrophages could be a mechanistically relevant and partially translational model of inflamed visceral adipose tissue., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Inherited diseases are the result of DNA sequence changes. In recessive diseases, the clinical phenotype results from the combined functional effects of variants in both copies of the gene. In some diseases there is often considerable variability of clinical presentation or disease severity, which may be predicted by the genotype. Additional effects may be triggered by environmental factors, as well as genetic modifiers which could be nucleotide polymorphisms in related genes, e.g. maternal ApoE or ABCA1 genotypes which may have an influence on the phenotype of SLOS individuals. Here we report the establishment of genotype variation databases for various rare diseases which provide individual clinical phenotypes associated with genotypes and include data about possible genetic modifiers. These databases aim to be an easy public access to information on rare and private variants with clinical data, which will facilitate the interpretation of genetic variants. The created databases include ACAD8 (isobutyryl-CoA dehydrogenase deficiency (IBD)), ACADSB (short-chain acyl-CoA dehydrogenase (SCAD) deficiency), AUH (3-methylglutaconic aciduria (3-MGCA)), DHCR7 (Smith-Lemli-Opitz syndrome), HMGCS2 (3-hydroxy-3-methylglutaryl-CoA synthase 2 deficiency), HSD17B10 (17-beta-hydroxysteroid dehydrogenase X deficiency), FKBP14 (Ehlers-Danlos syndrome with progressive kyphoscoliosis, myopathy, and hearing loss; EDSKMH) and ROGDI (Kohlschütter-Tönz syndrome). These genes have been selected because of our specific research interests in these rare and metabolic diseases. The aim of the database was to include all identified individuals with variants in these specific genes. Identical genotypes are listed multiple times if they were found in several patients, phenotypic descriptions and biochemical data are included as detailed as possible in view also of validating the proposed pathogenicity of these genotypes. For DHCR7 genetic modifier data (maternal APOE and ABCA1 genotypes) is also included. Databases are available at http://databases.lovd.nl/shared/genes and will be updated based on periodic literature reviews and submitted reports., (Copyright © 2014 Elsevier B.V. All rights reserved.)