Novel Insights into the Adipokinome of Obese and Obese/Diabetic Mouse Models.

The group of adipokines comprises hundreds of biological active proteins and peptides released from adipose tissue. Alterations of those complex protein signatures are suggested to play a crucial role in the pathophysiology of multifactorial, metabolic diseases. We hypothesized that also the pathophysiology of type-2-diabetes is linked to the dysregulation of the adipocyte secretome. To test this, we investigated mouse models with monogenic defects in leptin signaling which are susceptible to adipositas (C57BL/6 Cg-Lepob (obob)) or adipositas with diabetes (C57BL/KS Cg-Leprdb (dbdb)) according to their genetic background. At the age of 17 weeks, visceral fat was obtained and primary murine adipocytes were isolated to harvest secretomes. Quantitative proteome analyses (LC-ESI-MS/MS) identified more than 800 potential secreted proteins. The secretome patterns revealed significant differences connected to the pathophysiology of obese mice. Pathway analyses indicated that these differences focus on exosome modelling, but failed to provide more precise specifications. To investigate the relationship of secretome data to insulin sensitivity, we examined the content of diabetogenic lipids, i.e., diacylglycerols (DAGs), identified as key players in lipid-induced insulin resistance. In contrast to obob mice, fat tissue of dbdb mice showed elevated DAG content, especially of DAG species with saturated fatty acid C16:0 and C18:0, while unsaturated fatty acid C16:1 were only changed in obob. Furthermore, DAG signatures of the models specifically correlate to secreted regulated adipokines indicating specific pathways. In conclusion, our data further support the concept that the fat tissue is an endocrine organ that releases bioactive factors corresponding to adipose tissue health status.

Secretome profiling of primary human skeletal muscle cells.

The skeletal muscle is a metabolically active tissue that secretes various proteins. These so-called myokines have been proposed to affect muscle physiology and to exert systemic effects on other tissues and organs. Yet, changes in the secretory profile may participate in the pathophysiology of metabolic diseases. The present study aimed at characterizing the secretome of differentiated primary human skeletal muscle cells (hSkMC) derived from healthy, adult donors combining three different mass spectrometry based non-targeted approaches as well as one antibody based method. This led to the identification of 548 non-redundant proteins in conditioned media from hSkmc. For 501 proteins, significant mRNA expression could be demonstrated. Applying stringent consecutive filtering using SignalP, SecretomeP and ER_retention signal databases, 305 proteins were assigned as potential myokines of which 12 proteins containing a secretory signal peptide were not previously described. This comprehensive profiling study of the human skeletal muscle secretome expands our knowledge of the composition of the human myokinome and may contribute to our understanding of the role of myokines in multiple biological processes. This article is part of a Special Issue entitled: Biomarkers: A Proteomic Challenge.

Comparison between Long-Menu and Open-Ended Questions in computerized medical assessments. A randomized controlled trial.

BACKGROUND: Long-menu questions (LMQs) are viewed as an alternative method for answering open-ended questions (OEQs) in computerized assessment. So far this question type and its influence on examination scores have not been studied sufficiently. However, the increasing use of computerized assessments will also lead to an increasing use of this question type. Using a summative online key feature (KF) examination we evaluated whether LMQs can be compared with OEQs in regard to the level of difficulty, performance and response times. We also evaluated the content for its suitability for LMQs. METHODS: We randomized 146 fourth year medical students into two groups. For the purpose of this study we created 7 peer-reviewed KF-cases with a total of 25 questions. All questions had the same content in both groups, but nine questions had a different answer type. Group A answered 9 questions with an LM type, group B with an OE type. In addition to the LM answer, group A could give an OE answer if the appropriate answer was not included in the list. RESULTS: The average number of correct answers for LMQs and OEQs showed no significant difference (p = 0.93). Among all 630 LM answers only one correct term (0.32%) was not included in the list of answers. The response time for LMQs did not significantly differ from that of OEQs (p = 0.65). CONCLUSION: LMQs and OEQs do not differ significantly. Compared to standard multiple-choice questions (MCQs), the response time for LMQs and OEQs is longer. This is probably due to the fact that they require active problem solving skills and more practice. LMQs correspond more suitable to Short answer questions (SAQ) then to OEQ and should only be used when the answers can be clearly phrased, using only a few, precise synonyms.LMQs can decrease cueing effects and significantly simplify the scoring in computerized assessment.

Phosphorylation of sterol regulatory element-binding protein (SREBP)-1c by p38 kinases, ERK and JNK influences lipid metabolism and the secretome of human liver cell line HepG2.

The transcription factor sterol regulatory element binding protein (SREBP)-1c plays a pivotal role in lipid metabolism. In this report we identified the main phosphorylation sites of MAPK-families, i.e. p38 stress-activated MAPK (p38), ERK-MAPK (ERK) or c-JUN N-terminal protein kinases (JNK) in SREBP-1c. The major phosphorylation sites of p38, i.e. serine 39 and threonine 402, are identical to those we recently identified in the splice-variant SREBP-1a. In contrast, ERK and JNK phosphorylate SREBP-1c at two major sites, i.e. threonine 81 and serine 93, instead of one site in SREBP-1a. Functional analyses of the biological outcome in the human liver cell line HepG2 reveals SREBP-1c phosphorylation dependent alteration in lipid metabolism and secretion pattern of lipid transporting proteins, e.g. ApoE or ApoA1. These results suggest that phosphorylation of SREBP-1c by different MAPKs interferes with lipid metabolism and the secretory activity of liver cells.

Identification of novel adipokines differential regulated in C57BL/Ks and C57BL/6.

Visceral adiposity is associated with metabolic disorders, but little is known on the underlying pathophysiological mechanism. One possible link might be the release of various signalling and mediator proteins, named adipokines. Our hypothesis was that dependent on genetic background factors are released which might trigger a primary disease susceptibility. This study characterizes the adipokines released from visceral adipose tissue from two metabolic healthy mouse strains, i.e. C57BL/Ks (BKS) and C57BL/6 (C57), of which the former genetic background is more sensitive to develop diabetes following metabolic challenge. Using liquid chromatography (LC)-electrospray ionization (ESI)-MS/MS, a reference map comprising 597 adipokines was generated (http://www.diabesityprot.org). Thirty-five adipokines, including six not previously described ones, were differentially released between the mouse strains. Most notable is the reduced release of the adiponectin-binding protein T-Cadherin (CAD13) in BKS mice. This observation highlights the importance of secretome profiling in unravelling the complex interplay between genetic diversity and lifestyle.

So close and yet so far: mitochondria and peroxisomes are one but with specific talents.

Cellular compartmentalization of central metabolic pathways as lipid metabolism to mitochondria and peroxisomes enables high efficient control processes. The basis to understand mitochondrial or peroxisomal function is exactly to determine proteins physically present. For proteomic investigations of mouse liver organelles, we developed 2-DE reference maps covering the range pH 4-9, available under ( www.diabesityprot.org ). MALDI-TOF-MS/MS analyses identified a total of 799 (mitochondria) and 681 (peroxisome) protein spots resembling 323 and 293 unique proteins, respectively. Direct comparison of mitochondrial and peroxisomal proteins indicated an approximate overlap of 2/3 of identified proteins. Gene Ontologies (GO) of the identified proteins in respect to physical presence confirmed functional specifications within the organelles. The 2-DE organelle reference maps will aid to point out functional differences and similarities. Our observations suggest that for functional analyses metabolic alterations focusing on one organelle are not sufficient and parallel comparison of both organelles is to be preferred.