Hintergrund: Die Berlin Fat Mouse Inzuchtlinie (BFMI) ist ein Modell für Adipositas und das metabolische Syndrom. Diese Studie zielte darauf ab, genetische Varianten zu identifizieren, die mit dem gestörten Glukosestoffwechsel assoziiert sind, indem die fettleibigen Linien BFMI861-S1 und BFMI861-S2 verwendet wurden, die genetisch eng verwandt sind, sich aber in mehreren Merkmalen unterscheiden. BFMI861-S1 ist insulinresistent und speichert ektopisches Fett in der Leber, während BFMI861-S2 insulinsensitiv ist. Methoden: Die QTL-Analyse wurde in zwei fortgeschrittenen Intercross-Linien (AIL) in der Generation durchgeführt. Eine AIL wurde aus der Kreuzung BFMI861-S1 x BFMI861-S2 und die zweite AIL aus der Kreuzung BFMI861-S1 x BFMI861-B6N erhalten. Für beide AILs wurden Phänotypen über 25 bzw. 20 Wochen gesammelt. Zur Priorisierung von positionellen Kandidatengenen wurden Gesamtgenomsequenzierung und Genexpressionsdaten der Elternlinien verwendet. Ergebnisse: Für den AIL BFMI861-S1 x BFMI861-S2 wurden überlappende QTL für das Gonadenfettgewebegewicht und die Blutglukosekonzentration auf Chromosom (Chr) 3 (95,8–100,1 Mb) und für das Gonadenfettgewebegewicht, Lebergewicht und Blut nachgewiesen Glukosekonzentration auf Chr 17 (9,5–26,1 Mb). Für die AIL BFMI861-S1 x BFMI861-B6N zeigte ein hochsignifikanter QTL auf Chromosom (Chr) 1 (157–168 Mb) einen Zusammenhang mit dem Lebergewicht. Ein QTL für das Körpergewicht nach 20 Wochen wurde auf Chr 3 (34,1 – 40 Mb) gefunden, der sich mit einem QTL für das scAT-Gewicht überlappte. In einem multiplen QTL-Mapping-Ansatz wurde ein zusätzliches QTL, das das Körpergewicht bei 16 Wochen beeinflusste, auf Chr 6 (9,5–26,1 Mb) identifiziert. Schlussfolgerungen: Die QTL-Kartierung zusammen mit einem detaillierten Priorisierungsansatz ermöglichte es uns, Kandidatengene zu identifizieren, die mit Merkmalen des metabolischen Syndroms in beiden AILs assoziiert sind. / Background: The Berlin Fat Mouse Inbred line (BFMI) is a model for obesity and the metabolic syndrome. This study aimed to identify genetic variants associated with the impaired glucose metabolism using the obese lines BFMI861-S1 and BFMI861-S2, which are genetically closely related, but differ in several traits. BFMI861-S1 is insulin resistant and stores ectopic fat in the liver, whereas BFMI861-S2 is insulin sensitive. Methods: QTL-analysis was performed in two advanced intercross lines (AIL) in generation. One AIL obtained from the cross BFMI861-S1 x BFMI861-S2 and the second AIL from the cross BFMI861-S1 x BFMI861-B6N. For both AILs phenotypes were collected over 25 and 20 weeks, respectively. For prioritization of positional candidate genes whole genome sequencing and gene expression data of the parental lines were used. Results: For the AIL BFMI861-S1 x BFMI861-S2 overlapping QTL for gonadal adipose tissue weight and blood glucose concentration were detected on chromosome (Chr) 3 (95.8-100.1 Mb), and for gonadal adipose tissue weight, liver weight, and blood glucose concentration on Chr 17 (9.5-26.1 Mb). For the AIL BFMI861-S1 x BFMI861-B6N one highly significant QTL on chromosome (Chr) 1 (157–168 Mb) showed an association with liver weight. A QTL for body weight at 20 weeks was found on Chr 3 (34.1 – 40 Mb) overlapping with a QTL for scAT weight. In a multiple QTL mapping approach, an additional QTL affecting body weight at 16 weeks was identified on Chr 6 (9.5-26.1 Mb). Conclusions: QTL mapping together with a detailed prioritization approach allowed us to identify candidate genes associated with traits of the metabolic syndrome in both AILs.

Die Berlin Fett Maus Inzuchtlinie (BFMI) ist ein Modell für jugendliche Fettleibigkeit, die natürliche Mutationen aufweist, welche uns helfen können, die genetischen Mechanismen zu verstehen, die zu Fettleibigkeit führen. Bei früheren Untersuchungen, von Kreuzungen zwischen BFMI und B6N, wurde ein rezessiver Defekt auf Chromosom 3 (jObes1) identifiziert, der juvenile Fettleibigkeit verursacht. Die Feinkartierung engte den jObes1-Lokus, mit Hilfe einer fortgeschrittenen Kreuzungslinie auf das Bardet-Biedl-Syndrom 7 - Gen (Bbs7), das wahrscheinlichste Kandidatengen für den Phänotyp der juvenilen Fettleibigkeit in BFMI ein. Die Genexpressionsanalyse des gesamten Gehirns von BFMI- und B6N-Mäusen zeigte, dass die Expression des Gens Bbs7 bei BFMI-Mäusen im Vergleich zu den B6N-Referenzmäusen deutlich reduziert war. Sequenzvergleiche zwischen den beiden Linien BFMI und B6N zeigten zwei wesentliche Unterschiede zwischen ihnen: (1) eine 1.578 bp Deletion im Intron 8 von Bbs7 in BFMI-Mäusen, die einen CCCTC-bindenden Faktor (CTCF-Element) enthält (2) 16 Sequenzvarianten, die in der Bbs7-Promotorregion (36. 613.319 - 36.614.267, Ensembl release 102) in den BFMI-Mäusen, im Vergleich zur B6N-DNA-Sequenz, für die Unterschiede in der Bbs7-Genregulation verantwortlich sein könnten. Mit dieser Studie sollten zwei Hauptfragen beantwortet werden: (1) Hat die gelöschte Intron-8-Region von Bbs7, die ein CTCF-Element enthält, einen teilweisen oder vollständigen Einfluss auf die Entwicklung von juveniler Adipositas bei BFMI-Mäusen? (2) Was ist die ursächliche Variante in der Promotorregion des Bbs7-Gens, die zu Expressionsunterschieden des Bbs7-Gens zwischen BFMI und B6N führt? Sowohl der einzelne 5'-UTR-SNP, als auch die Deletion im Intron 8 von Bbs7, können zu dem beobachteten Phänotyp der BFMI-Mäuse beitragen, indem sie höchstwahrscheinlich die Bbs7-Expression verringern und den Fettanteil erhöhen. / The Berlin Fat Mouse Inbred (BFMI) line is a model for juvenile obesity which harbors natural mutations that can help us understand the genetic mechanisms leading to obesity. Previous research on crosses between BFMI and B6N identified a recessive defect causing juvenile obesity on chromosome 3 (jObes1). This explains around 40% of the bodyweight differences in an F2 cross between BFMI and the reference B6N mouse. Fine mapping, using an advanced intercross line, of the jObes1 locus, revealed the Bardet-Biedl syndrome 7 (Bbs7) gene as the most likely candidate gene for the juvenile obesity phenotype in the BFMI. Gene expression analysis on the whole brain of BFMI and B6N mice showed that the expression of the Bbs7 gene in BFMI mice was reduced significantly compared to the B6N reference mice. Sequence comparisons between the two lines BFMI and B6N showed two major differences between them: (1) a 1,578 bp deletion in intron 8 of Bbs7 in BFMI mice harboring a CCCTC-binding factor (CTCF-element) which works as a transcriptional activator, a repressor, or an insulator, located within the deletion, and (2) 16 sequence variants identified in the Bbs7 promoter region (36.613.319 – 36.614.267, Ensembl release 102) in the BFMI mice compared to the B6N DNA sequence which can be responsible for differences in Bbs7 gene regulation. This study aimed to answer two main questions: (1) Does the deleted intron 8 region of Bbs7 which includes a CTCF-element have any partial or complete impact on the development of juvenile obesity in BFMI mice and what is the explanation for that? (2) What is the causal variant in the promoter region of the Bbs7 gene that leads to expression differences of the Bbs7 gene between BFMI and B6N? Both, the single 5’ UTR-SNP and the deletion in intron 8 of Bbs7 can contribute to the observed phenotype in the BFMI mice most likely by reducing Bbs7 expression and increasing fat accumulation.

Obesity is a metabolic disorder that results in elevated levels of free fatty acids and triglycerides in the blood circulation, which further leads to accumulation of lipids within various tissues. Like in other similar metabolic disorders, obesity is thought to be originated from structural and regulatory changes in macromolecular assemblies. This current study aims to investigate the effects of obesity on macromolecular alterations in order to characterize Berlin fat mouse inbred (BFMI) lines which arenew models for the obesity research that may contribute to understanding of spontaneous obesity without induction of a high fat diet. Attenuated Total Reflectance - Fourier Transform Infrared (ATR-FTIR) spectroscopy was used to characterize content and structure of macromolecules in male and female control (DBA/2J) and BFMI lines / namely BFMI856, BFMI860 and BFMI861, in two different adipose tissues / inguinal fat (IF) which is subcutaneous adipose tissue (SAT), gonadal fat (GF) which is visceral adipose tissue (VAT). Structural and compositional alterations in proteins, lipids, saturated and unsaturated lipid contents, nucleic acid, collagen and glycogen contents and variations in the lipid chain length were determined. BFMI860 and BFMI861 lines were found to be the most affected lines since they showed the indications of lipid peroxidation and insulin resistance more severely as they had lower glycogen content in all tissues and lower unsaturated lipid content especially in IF adipose tissues. Moreover, structural changes in lipids were observed especially in male GF adipose tissues of BFMI856 and BFMI861 lines. Protein content decreased significantly specifically in female IF adipose tissues but no change was observed in the structure. Furthermore, BFMI852 line was found to be affected different than other lines and had an effect on especially female IF. To conclude, obesity induced changes differ in BFMI lines according to the gender, adipose tissue type and distinctness in the strains.

Obesity becomes an epidemic health problem in developing and developed countries, which arises due to stable life style and increase in the consumption of high fat diets. Obesity is generally accompanied with various clinical disorders, such as insulin resistance, type II diabetes, hypertension, dyslipidemia and cardiovascular diseases. This study aims to characterize and quantify different lipid classes in longissimus dorsi (LD) and quadriceps (Q) skeletal muscles of control (DBA/2J), obese Berlin fat mouse inbred (BFMI) and Berlin muscle mouse inbred (BMMI) lines, which display high fat and high muscle content, respectively. These mouse lines were special due to their phenotypes, especially BFMI lines, which displayed spontaneous and strong obesity. These lines, more specifically BFMI860 and BFMI861, were also special due to their possibility of being an animal model of cardiovascular diseases and metabolic syndrome, since they also displayed insulin resistance. For separation,identification and quantification of various lipids of these lines, a novel method was developed which gives better separation of main lipid classes via using high performance liquid chromatography (HPLC) coupled to an evaporative light scattering detector (ELSD). Addition of triethylamine (TEA) to the solvents being used, and altering the parameters of HPLC and ELSD instruments, and also the gradient elution, provided a better separation with an enhanced resolution. This method has been applied to the lipid extracts obtained from longissimus dorsi (LD) and quadriceps (Q) skeletal muscles of control (DBA/2J), obese Berlin fat mouse inbred (BFMI) and Berlin muscle mouse inbred (BMMI). In this method, a binary gradient elution composed of n-Hexane, isopropanol, methanol, acetic acid and triethylamine was applied to the samples. All interested lipid classes, namely triglyceride (TG), cholesteryl ester (CO), cholesterol (C), 1-oleoyl-rac-glycerol (MG), phosphatidylcholine (PC) and cardiolipin (CLPN), all of which have been known to have a role in obesity, insulin resistance, and cardiovascular diseases, were separated, identified and quantified via this novel method. According to the results, among BFMI lines, BFMI860 and BFMI861 lines and BMMI806, among BMMI lines, are worth to study obesity. Especially, the former ones may also become animal models for cardiovascular diseases and metabolic syndrome.

Although the effects of diabetes on bone mineral content has been studied, little is known about the structural alterations in collagen, maturation of apatite crystals and carbonate content in diabetic bone. The first part of this study aimed to investigate the mineral and organic properties of cortical, trabecular and growth plate regions of rat femur tissues in type I diabetes using FTIR microspectroscopy and Vickers microhardness test. A decrease in mineral content (degree of mineralization), decrease in microhardness, increase in carbonate content, increase in size and maturation of hydroxyapetite crystals, which are the implications of increased osteoporosis, were observed in diabetic bone. In addition, a decreased carbonate substitution into bone apatite and an increase in labile type carbonate was observed in diabetic bone. There was a decrease in the level of crosslinking of collagen in cortical and trabecular regions of diabetic femurs, implying a decrease in bone collagen quality that may contribute to bone fragility. Recent evidence implies that intramyocellular lipid accumulation is directly correlated with insulin resistance, a key parameter in the generation of obesity. The second part of this study is mainly focused on the determination of the structural and compositional characterization of macromolecules of longissimus dorsi and quadriceps muscles of Berlin fat mouse inbred (BFMI) lines using ATR-FTIR spectroscopy and FTIR microspectroscopic imaging, together with the quantification of fiber specific distribution of lipids in these muscles by the use of confocal microscopy. The study groups included 10 weeks old standard breeding diet fed (juvenile) and 20 weeks old high fat diet fed control and BFMI lines. The results revealed the loss of unsaturation in lipids, increased triglyceride content, increased amount of lipids having shorter chain length, increased lipid peroxidation and fiber specific accumulation of lipids in type IIa and intermediate fibers in skeletal muscles of both 10 weeks old and 20 weeks old BFMI lines, emphasizing their obese phenotype. However, the alterations were more prominent in skeletal muscles of 20 weeks old high fat diet fed BFMI lines, displaying a more severe obesity phenotype. The results of the characterization revealed that BFMI860 and BFMI861 lines are convenient models for the study of spontaneous obesity and studies to enlighten the genetic basis of obesity.