Curta administração de GW501516 melhora o estado inflamatório do tecido adiposo branco, o dano hepático e a inflamação renal de camundongos alimentados com dieta rica em frutose

A superativação do eixo ECA/AT1r está intimamente relacionada à síndrome metabólica e no organismo tem grande relação com o quadro de inflamação. A administração de frutose, seja por dieta ou pela água, tem sido usada como um modelo para a indução da superatividade desse eixo e para o estudo das vias inflamatórias relacionadas ao AT1r. Com isso, o objetivo deste trabalho foi avaliar se a administração de GW510156 poderia diminuir a superativação do eixo ECA/AT1r e consequentemente diminuir os danos causados pela dieta rica em frutose. Para isso foram utilizados camundongos machos C57Bl/6 que receberam uma dieta contendo 47% de frutose durante oito semanas ou uma dieta controle. Após oito semanas, os grupos foram redivididos aleatoriamente para o início da administração do GW501516 durante três semanas, totalizando quatro grupos experimentais. Os animais tratados apresentaram uma melhora da pressão arterial sistólica e também dos parâmetros urinários como proteinúria e ácido úrico. Houve ainda uma melhora dos triglicerídeo e ácido úrico plasmáticos. No tecido adiposo branco, o GW501516 foi capaz de diminuir a expressão dos componentes do eixo ECA/AT1r e também amenizou a inflamação causada pela dieta rica em frutose. No fígado, não houve alterações significativa do eixo, porém a fosforilação de JAK2 dependente de AT1r foi diminuída e consequentemente houve uma menor ativação das células estreladas no grupo que recebeu o GW501516. Além disso, as proteínas e genes relacionados à β-oxidação foram aumentados com o tratamento e aqueles relacionados à lipogênese de novo, diminuídos o que resultou em menor esteatose no parênquima hepático. Os rins apresentaram uma melhora da inflamação induzida pelo eixo, apesar de o eixo também não ter apresentado diferenças significativas com o tratamento. Também não foram encontradas diferenças significativas na expressão proteica e gênica das proteínas antioxidantes. Com esses resultados podemos concluir que a curta administração do GW501516 pôde aliviar os efeitos inflamatórios e a esteatose hepática causada pela dieta rica em frutose, podendo ser pensado como uma nova ferramenta terapêutica no tratamento da superativação do eixo ECA/AT1r.

Estudo da sinalização da insulina nos tecidos muscular e adiposo de ratos submetidos à desnutrição materna no início da lactação

Vários estudos sugerem que a desnutrição materna no período pós-natal poderia causar alterações na homeostase glicêmica da prole na vida adulta. Neste trabalho objetivamos investigar a interferência da programação metabólica induzida pela desnutrição protéica materna durante o início da lactação sobre a homeostase glicêmica e a sinalização da insulina nos tecidos muscular e adiposo. Animais desnutridos (D-dieta da mãe contendo 0% de proteína nos primeiros 10 dias de lactação) ou controle (C-dieta da mãe contendo 22% de proteína) foram estudados do nascimento até a vida adulta. Em resumo, observamos uma diminuição na insulina plasmática acompanhada de normoglicemia nos animais adultos desnutridos. A ativação do receptor de insulina (IR), após a estimulação com o hormônio apresentou-se diminuída durante o período de restrição protéica em músculo isolado destes animais experimentais. Durante o período da lactação, observamos uma diminuição na captação de glicose, na fosforilação do substrato para o receptor de insulina (IRS 1) e na translocação do GLUT 4 no tecido muscular. Na idade adulta, entretanto, houve aumento significativo na captação de glicose e translocação do GLUT 4 no músculo, associado com o aumento na expressão da PI3 quinase associada ao IRS 1. No tecido adiposo de ratos desnutridos adultos observamos menor fosforilação em tirosina tanto do IR quanto do IRS 1, que foi compensada pela maior ativação do IRS 2 e da PI3 quinase. Os níveis basais de pAkt e de GLUT 4 na membrana estavam aumentados, culminando em um aumento na captação de glicose. Observamos também uma redistribuição do citoesqueleto de actina e maior resistência aos efeitos da Ltrunculina B nos adipócitos dos ratos desnutridos. Em conclusão, este estudo demonstrou que a desnutrição materna no início da lactação é capaz de causar alterações na prole na vida adulta, o que parece estar relacionado com a expressão e ativação de proteínas chave na cascata da sinalização da insulina nos tecidos periféricos, importantes na regulação do metabolismo da glicose.

Mães obesas, filhotes obesos: estudo experimental

O aumento da obesidade materna pode refletir em efeitos deletérios na prole adulta, manifestos diferentemente de acordo com o gênero do indivíduo. Este trabalho teve como objetivo verificar a hipótese de que a obesidade materna provoca alterações metabólicas, na estrutura do tecido adiposo e hepático e mudanças de perfil inflamatório nas proles adultas de machos e fêmeas. Fêmeas C57BL/ 6 receberam dieta padrão (SC, 17% da energia proveniente do lipídeo) ou dieta hiperlipídica (HF; 49% da energia proveniente do lipídeo) durante oito semanas pré-gestacionais até a lactação. Após o desmame, os filhotes foram divididos nos grupos: SCM (machos), SCF (fêmeas), HFM (machos) e HFF (fêmeas). As características metabólicas foram avaliadas pela massa corporal (MC), glicemia de jejum, área sob a curva no teste oral de tolerância a glicose; concentrações de triglicerídes (TG) hepáticos e estimativa da esteatose hepática; análise plasmática de insulina, colesterol total (CT), triglicerídes (TG) e adipocinas; distribuição e análise morfológica do tecido adiposo e estado pró-inflamatório dos filhotes. Diferenças entre os grupos foram analisadas pelo Teste T não pareado (dados entre progenitoras e pares de grupos nas proles); one-way ANOVA com pós-teste de Tukey (para proles) e two-way ANOVA (efeito da dieta materna e gênero). O nível de significância adotado foi de P≤0,05. Progenitoras HF tiveram maior MC (+20%), glicemia elevada (+22%) e intolerância à glicose em comparação ao grupo SC. A partir da quarta semana, a MC mostrou-se maior nas proles HF, em ambos os gêneros, quando comparados às proles SC. Na 12 semana, a MC foi 20% maior no grupo HF macho e 30% maior no grupo HF fêmea do que seus controles (p<0,0001, ambos os gêneros). Intolerância à glicose foi observada em machos e fêmeas HF em relação aos seus contrapares SC (+20%, p<0,05). Proles HF demonstraram hepatomegalia com maior acúmulo de TG hepático, resultando em maior percentual de esteatose em machos (27%) e fêmeas HF (25%). Proles HF apresentaram incremento na adiposidade (+20%) e nos níveis de CT e TG do que seus congêneres SC. Níveis plasmáticos de leptina e insulina foram maiores, enquanto houve diminuição da adiponectina no grupo HF macho em relação ao grupo SC macho. Hipertrofia de adipócitos foi observada nas proles HF. TNF-alfa, IL-6 e leptina foram mais expressos em proles HF, porém diminuição na expressão de adiponectina foi evidenciada nas proles geradas por mães obesas. A luz do exposto, a dieta HF administrada em mães antes e durante períodos de gestação e lactação leva à obesidade materna que tem consequências na prole, tais como remodelamento do tecido adiposo, juntamente com alterações bioquímicas e metabólicas dos adipócitos, intensificando o estado pró-inflamatório da prole, em ambos os gêneros, na idade adulta.

Efeito da suplementação dietética com cálcio sobre a plasticidade ontogenética no modelo de superalimentação pós-natal

A obesidade está relacionada com o desenvolvimento da diabetes, estresse oxidativo, esteatose hepática, alteração da sensibilidade hormonal e redução da capacidade termogênica pelo tecido adiposo marrom (TAM). Na obesidade, alterações do sistema dopaminérgico mesocorticolímbico podem levar ao vício por alimentos palatáveis. Todas estas características contribuem para o baixo gasto energético e o alto consumo alimentar. Para estudar os efeitos em longo prazo da obesidade infantil, utilizamos o modelo de redução do tamanho da ninhada. Para induzir a superalimentação neonatal, o tamanho da ninhada foi reduzido para 3 filhotes machos de PN3 21 (grupo SL). O grupo controle permaneceu com 10 filhotes (grupo NL). Em PN120, o grupo SL foi dividido em: SL que recebeu ração controle e SL-Ca que recebeu dieta controle suplementada com 10g/kg de CaCO3. Os sacrifícios ocorreram em PN120 e PN180. Durante todo o período experimental, avaliamos o consumo alimentar e peso corporal. Em PN175, avaliamos a preferência alimentar dos animais por uma dieta rica em açúcar ou em lipídio. Avaliamos os hormônios por ELISA, RIA e quimioluminescência; o conteúdo proteico por Western blotting no fígado, tecido adiposo branco (TAB) e marrom (TAM), adrenal e regiões cerebrais; as atividades enzimáticas no soro e no fígado por cinética enzimática. Em PN21, PN120 e PN180, avaliamos in vivo a atividade simpática do TAM. Ao desmame, os ratos SL apresentaram maior estado pró-oxidativo no fígado e plasma e menor sensibilidade às catecolaminas no TAB. Na idade adulta, a suplementação é capaz de melhorar o estado pró-oxidativo no fígado e plasma, a sensibilidade à insulina e a microesteatose no fígado. Tanto a alteração de metabolismo/ação da vitamina D e do glicocorticóide no tecido adiposo como a menor capacidade termogênica do TAM contribuem para a maior adiposidade dos animais do grupo SL. A suplementação com cálcio corrigiu parte dessas alterações. A superalimentação pós-natal levou a redução da via dopaminérgica e a maior preferencia por gordura, enquanto a suplementação com cálcio normalizou esta via apenas a nível hipotalâmico e corrigiu a preferência alimentar. Nossos dados destacam o impacto benéfico da suplementação dietética com cálcio, que pode ter um papel nutricional promissor para auxiliar a perda de peso e minimizar os distúrbios relacionados a obesidade e a síndrome metabólica dos animais obesos que foram superalimentados na lactação.

Photoperiodic regulation in energy intake, thermogenesis and body mass in root voles (Microtus oeconomus)

The present study was designed to examine whether photoperiod alone was effective to induce seasonal regulations in physiology in root voles (Microtus oeconomus) from the Qinghai-Tibetan plateau noted for its extreme cold environment. Root voles were randomly assigned into either long photoperiod (LD; 16L: 8D) or short photoperiod (SD; 8L: 16D) for 4 weeks at constant temperature (20 degrees C). At the end of acclimation, SD voles showed lower body mass and body fat coupled with higher energy intake than LD voles. SD greatly enhanced thermogenic capacities in root voles, as indicated by elevated basal metabolic rate (BMR), nonshivering thermogenesis (NST), mitochondrial protein content and uncoupling protein-1 (UCP1) content in brown adipose tissue (BAT). Although no variations in serum leptin levels were found between SD and LD voles, serum leptin levels were positively correlated with body mass and body fat mass, and negatively correlated with energy intake and UCP1 content in BAT, respectively. To summarize, SD alone is effective in inducing higher thermogenic capacities and energy intake coupled with lower body mass and body fat mass in root voles. Leptin is potentially involved in the photoperiod induced body mass regulation and thermogenesis in root voles. (c) 2006 Elsevier Inc. All rights reserved.

高原鼠兔(Ochotona curzoniae)在生长发育过程中体温、热代谢和褐色脂肪组织(BAT)的变化

本文研究了栖息在高寒地区的高原鼠兔(Ochotona curzoniae)的体温、热代谢和肩胛部BAT随个体发育的变化，讨论了高原鼠兔热代谢发育特征及发育策略。结果表明新生个体具有初步的热调节能力，但环境温度变化时，还不能维持稳定的体温。体重为12.5克的幼体（约1－3日龄），其最低代谢离为3.028(mlO_2/g·h)，相对于Kleiber期望值的百分率为167％，热传导率为0.518(mlO_2/g·h· ℃)，相对于Bradley-Deavers期望值的百分率为200％，热中性区下临界温度为32.7 ℃。随着个体的发育，最低代谢率趋于下降，但其相对于Kleiber期望值的百分率在体重增长到大约90克前，趋于增加，其后才略有下降，热传导率及其相对于Bradley-Deavers期望值的百分率和热中性区的下临界温度随个体的发育趋于降低。所以在各环境温度下，高原鼠兔的体温随着个体发育表现出上升的变化。高原鼠兔BAT在整个发育时期都存在。刚出生时BAT发达，相对重量高，结构成熟，BAT细胞充满小而多的脂肪滴，线粒分布致密。随着个体发育，BAT相对重量和水分含量均迅速降低，结构呈退化趋势。高原鼠兔幼体主要利用小气候环境和BAT产热抵抗低温压力，高原鼠兔热调节发育的特征和对小气候环境的利用有利于减少体温调节耗能，促进生长发育。而发育到成体时，最低代谢率和热传导率对其期望值的偏离反映出高原鼠兔对西息环境的适应。另外，高原鼠兔通过行为热调节对生理调节加以补充。

Identification, Selection, and Enrichment of Cardiomyocyte Precursors

The large-scale production of cardiomyocytes is a key step in the development of cell therapy and tissue engineering to treat cardiovascular diseases, particularly those caused by ischemia. the main objective of this study was to establish a procedure for the efficient production of cardiomyocytes by reprogramming mesenchymal stem cells from adipose tissue. First, lentiviral vectors expressing neoR and GFP under the control of promoters expressed specifically during cardiomyogenesis were constructed to monitor cell reprogramming into precardiomyocytes and to select cells for amplification and characterization. Cellular reprogramming was performed using 5'-azacytidine followed by electroporation with plasmid pOKS2a, which expressed Oct4, Sox2, and Klf4. Under these conditions, GFP expression began only after transfection with pOKS2a, and less than 0.015% of cells were GFP(+). These GFP(+) cells were selected for G418 resistance to find molecular markers of cardiomyocytes by RT-PCR and immunocytochemistry. Both genetic and protein markers of cardiomyocytes were present in the selected cells, with some variations among them. Cell doubling time did not change after selection. Together, these results indicate that enrichment with vectors expressing GFP and neoR under cardiomyocyte-specific promoters can produce large numbers of cardiomyocyte precursors (CMPs), which can then be differentiated terminally for cell therapy and tissue engineering.

The gut microbiota as a contributing factor to antipsychotic-induced weight gain and metabolic dysfunction

Schizophrenia represents one of the world’s most devastating illnesses due to its often lifelong course and debilitating nature. The treatment of schizophrenia has vastly improved over recent decades with the discovery of several antipsychotic compounds; however these drugs are not without adverse effects that must be addressed to maximize their therapeutic value. Newer, atypical, antipsychotics are associated with a compilation of serious metabolic side effects including weight gain, insulin resistance, fat deposition, glucose dysregulation and ensuing co-morbidities such as type II diabetes mellitus. The mechanisms underlying these side effects remain to be fully elucidated and adequate interventions are lacking. Further understanding of the factors that contribute these side effects is therefore required in order to develop effective adjunctive therapies and to potentially design antipsychotic drugs in the future with reduced impact on the metabolic health of patients. We investigated if the gut microbiota represented a novel mechanism contributing to the metabolic dysfunction associated with atypical antipsychotics. The gut microbiota comprises the bacteria that exist symbiotically within the gastrointestinal tract, and has been shown in recent years to be involved in several aspects of energy balance and metabolism. We have demonstrated that administration of certain antipsychotics in the rat results in an altered microbiota profile and, moreover, that the microbiota is required for the full scale of metabolic dysfunction to occur. We have further shown that specific antibiotics can attenuate certain aspects of olanzapine and risperidone–induced metabolic dysfunction, in particular fat deposition and adipose tissue inflammation. Mechanisms underlying this novel link appear to involve energy utilization via expression of lipogenic genes as well as reduced inflammatory tone. Taken together, these data indicate that the gut microbiota is an important factor involved in the myriad of metabolic complications associated with antipsychotic therapy. Furthermore, these data support the future investigation of microbial-based therapeutics for not only antipsychotic-induced weight gain but also for tackling the global obesity epidemic.

An examination of the construction of meanings for obesity in Ireland

Obesity has been defined as a consequence of energy imbalance, where energy intake exceeds energy expenditure and results in a build-up of adipose tissue. However, this scientific definition masks the complicated social meanings associated with the condition. This research investigated the construction of meaning around obesity at various levels of inquiry to inform how obesity is portrayed and understood in Ireland. A multi-paradigmatic approach was adopted, drawing on theory and methods from psychology and sociology and an analytical framework combining the Common Sense Model and framing theory was employed. In order to examine the exo-level meanings of obesity, content analysis was performed on two media data sets (n=479, n=346) and a thematic analysis was also performed on the multiple newspaper sample (n=346). At the micro-level, obesity discourses were investigated via the thematic analysis of comments sampled from an online message board. Finally, an online survey assessed individual-level beliefs and understandings of obesity. The media analysis revealed that individual blame for obesity was pervasive and the behavioural frame was dominant. A significant increase in attention to obesity over time was observed, manifestations of weight stigma were common, and there was an emotive discourse of blame directed towards the parents of obese children. The micro-level analysis provided insight into the weight-based stigma in society and a clear set of negative ‘default’ judgements accompanied the obese label. The survey analysis confirmed that the behavioural frame was the dominant means of understanding obesity. One of the strengths of this thesis is the link created between framing and the Common Sense Model in the development of an analytical framework for application in the examination of health/illness representations. This approach helped to ascertain the extent of the pervasive biomedical and individual blame discourse on obesity, which establishes the basis for the stigmatisation of obese persons.

The impact of whey protein isolate on energy balance regulation

Using C57BL/6J mice fed whey protein isolate (WPI) enriched high fat (HFD) or low-fat diets (LFD), this study tested the hypothesis that WPI directly impacts on adiposity by influencing lipid metabolism. WPI suppressed HFD-induced body fat and increased lean mass at 8 weeks of dietary challenge despite elevated plasma triacylglycerol (TAG) levels, suggesting reduced TAG storage. WPI reduced HFD-associated hypothalamic leptin and insulin receptor (IR) mRNA expression, and prevented HFD-associated reductions in adipose tissue IR and glucose transporter 4 expression. These effects were largely absent at 21 weeks of HFD feeding, however WPI increased lean mass and cause a trend towards decreased fat mass, with notable increased Lactobacillus and decreased Clostridium gut bacterial species. Increasing the protein to carbohydrate ratio enhanced the above effects, and shifted the gut microbiota composition away from the HFD group. Seven weeks of WPI intake with a LFD decreased insulin signalling gene expression in the adipose tissue in association with an increased fat accumulation. WPI reduced intestinal weight and length, suggesting a potential functional relationship between WPI, gastro-intestinal morphology and insulin related signalling in the adipose. Extending the study to 15 weeks, did not affect adipose fat weight, but decreased energy intake, weight gain and intestinal length. The functionality of protein sensing lysophosphatidic acid receptor 5 (LPA5) in 3T3-L1 pre-adipocytes was assessed. Over-expression of the receptor in 3T3-L1 pre-adipocytes provided a growth advantage to the cells and suppressed cellular differentiation into mature fat cells. In conclusion, the data demonstrates WPI impacts on adiposity by influencing lipid metabolism in a temporal manner, resulting possibly due to changes in lean mass, hypothalamic and adipose gene expression, gut microbiota and gastrointestinal morphology. The data also showed LPA5 is a novel candidate in regulating of preadipocyte growth and differentiation, and may mediate dietary protein effects on adipose tissue.

Prolactin receptor signaling is essential for perinatal brown adipocyte function: a role for insulin-like growth factor-2.

BACKGROUND: The lactogenic hormones prolactin (PRL) and placental lactogens (PL) play central roles in reproduction and mammary development. Their actions are mediated via binding to PRL receptor (PRLR), highly expressed in brown adipose tissue (BAT), yet their impact on adipocyte function and metabolism remains unclear. METHODOLOGY/PRINCIPAL FINDINGS: PRLR knockout (KO) newborn mice were phenotypically characterized in terms of thermoregulation and their BAT differentiation assayed for gene expression studies. Derived brown preadipocyte cell lines were established to evaluate the molecular mechanisms involved in PRL signaling on BAT function. Here, we report that newborn mice lacking PRLR have hypotrophic BAT depots that express low levels of adipocyte nuclear receptor PPARgamma2, its coactivator PGC-1alpha, uncoupling protein 1 (UCP1) and the beta3 adrenoceptor, reducing mouse viability during cold challenge. Immortalized PRLR KO preadipocytes fail to undergo differentiation into mature adipocytes, a defect reversed by reintroduction of PRLR. That the effects of the lactogens in BAT are at least partly mediated by Insulin-like Growth Factor-2 (IGF-2) is supported by: i) a striking reduction in BAT IGF-2 expression in PRLR KO mice and in PRLR-deficient preadipocytes; ii) induction of cellular IGF-2 expression by PRL through JAK2/STAT5 pathway activation; and iii) reversal of defective differentiation in PRLR KO cells by exogenous IGF-2. CONCLUSIONS: Our findings demonstrate that the lactogens act in concert with IGF-2 to control brown adipocyte differentiation and growth. Given the prominent role of brown adipose tissue during the perinatal period, our results identified prolactin receptor signaling as a major player and a potential therapeutic target in protecting newborn mammals against hypothermia.

Role of T cells in malnutrition and obesity.

Nutritional status is critically important for immune cell function. While obesity is characterized by inflammation that promotes metabolic syndrome including cardiovascular disease and insulin resistance, malnutrition can result in immune cell defects and increased risk of mortality from infectious diseases. T cells play an important role in the immune adaptation to both obesity and malnutrition. T cells in obesity have been shown to have an early and critical role in inducing inflammation, accompanying the accumulation of inflammatory macrophages in obese adipose tissue, which are known to promote insulin resistance. How T cells are recruited to adipose tissue and activated in obesity is a topic of considerable interest. Conversely, T cell number is decreased in malnourished individuals, and T cells in the setting of malnutrition have decreased effector function and proliferative capacity. The adipokine leptin, which is secreted in proportion to adipocyte mass, may have a key role in mediating adipocyte-T cell interactions in both obesity and malnutrition, and has been shown to promote effector T cell function and metabolism while inhibiting regulatory T cell proliferation. Additionally, key molecular signals are involved in T cell metabolic adaptation during nutrient stress; among them, the metabolic regulator AMP kinase and the mammalian target of rapamycin have critical roles in regulating T cell number, function, and metabolism. In summary, understanding how T cell number and function are altered in obesity and malnutrition will lead to better understanding of and treatment for diseases where nutritional status determines clinical outcome.

Micro-Anatomical Quantitative Imaging Towards Enabling Automated Diagnosis of Thick Tissues at the Point of Care

Histopathology is the clinical standard for tissue diagnosis. However, histopathology has several limitations including that it requires tissue processing, which can take 30 minutes or more, and requires a highly trained pathologist to diagnose the tissue. Additionally, the diagnosis is qualitative, and the lack of quantitation leads to possible observer-specific diagnosis. Taken together, it is difficult to diagnose tissue at the point of care using histopathology.

Several clinical situations could benefit from more rapid and automated histological processing, which could reduce the time and the number of steps required between obtaining a fresh tissue specimen and rendering a diagnosis. For example, there is need for rapid detection of residual cancer on the surface of tumor resection specimens during excisional surgeries, which is known as intraoperative tumor margin assessment. Additionally, rapid assessment of biopsy specimens at the point-of-care could enable clinicians to confirm that a suspicious lesion is successfully sampled, thus preventing an unnecessary repeat biopsy procedure. Rapid and low cost histological processing could also be potentially useful in settings lacking the human resources and equipment necessary to perform standard histologic assessment. Lastly, automated interpretation of tissue samples could potentially reduce inter-observer error, particularly in the diagnosis of borderline lesions.

To address these needs, high quality microscopic images of the tissue must be obtained in rapid timeframes, in order for a pathologic assessment to be useful for guiding the intervention. Optical microscopy is a powerful technique to obtain high-resolution images of tissue morphology in real-time at the point of care, without the need for tissue processing. In particular, a number of groups have combined fluorescence microscopy with vital fluorescent stains to visualize micro-anatomical features of thick (i.e. unsectioned or unprocessed) tissue. However, robust methods for segmentation and quantitative analysis of heterogeneous images are essential to enable automated diagnosis. Thus, the goal of this work was to obtain high resolution imaging of tissue morphology through employing fluorescence microscopy and vital fluorescent stains and to develop a quantitative strategy to segment and quantify tissue features in heterogeneous images, such as nuclei and the surrounding stroma, which will enable automated diagnosis of thick tissues.

To achieve these goals, three specific aims were proposed. The first aim was to develop an image processing method that can differentiate nuclei from background tissue heterogeneity and enable automated diagnosis of thick tissue at the point of care. A computational technique called sparse component analysis (SCA) was adapted to isolate features of interest, such as nuclei, from the background. SCA has been used previously in the image processing community for image compression, enhancement, and restoration, but has never been applied to separate distinct tissue types in a heterogeneous image. In combination with a high resolution fluorescence microendoscope (HRME) and a contrast agent acriflavine, the utility of this technique was demonstrated through imaging preclinical sarcoma tumor margins. Acriflavine localizes to the nuclei of cells where it reversibly associates with RNA and DNA. Additionally, acriflavine shows some affinity for collagen and muscle. SCA was adapted to isolate acriflavine positive features or APFs (which correspond to RNA and DNA) from background tissue heterogeneity. The circle transform (CT) was applied to the SCA output to quantify the size and density of overlapping APFs. The sensitivity of the SCA+CT approach to variations in APF size, density and background heterogeneity was demonstrated through simulations. Specifically, SCA+CT achieved the lowest errors for higher contrast ratios and larger APF sizes. When applied to tissue images of excised sarcoma margins, SCA+CT correctly isolated APFs and showed consistently increased density in tumor and tumor + muscle images compared to images containing muscle. Next, variables were quantified from images of resected primary sarcomas and used to optimize a multivariate model. The sensitivity and specificity for differentiating positive from negative ex vivo resected tumor margins was 82% and 75%. The utility of this approach was further tested by imaging the in vivo tumor cavities from 34 mice after resection of a sarcoma with local recurrence as a bench mark. When applied prospectively to images from the tumor cavity, the sensitivity and specificity for differentiating local recurrence was 78% and 82%. The results indicate that SCA+CT can accurately delineate APFs in heterogeneous tissue, which is essential to enable automated and rapid surveillance of tissue pathology.

Two primary challenges were identified in the work in aim 1. First, while SCA can be used to isolate features, such as APFs, from heterogeneous images, its performance is limited by the contrast between APFs and the background. Second, while it is feasible to create mosaics by scanning a sarcoma tumor bed in a mouse, which is on the order of 3-7 mm in any one dimension, it is not feasible to evaluate an entire human surgical margin. Thus, improvements to the microscopic imaging system were made to (1) improve image contrast through rejecting out-of-focus background fluorescence and to (2) increase the field of view (FOV) while maintaining the sub-cellular resolution needed for delineation of nuclei. To address these challenges, a technique called structured illumination microscopy (SIM) was employed in which the entire FOV is illuminated with a defined spatial pattern rather than scanning a focal spot, such as in confocal microscopy.

Thus, the second aim was to improve image contrast and increase the FOV through employing wide-field, non-contact structured illumination microscopy and optimize the segmentation algorithm for new imaging modality. Both image contrast and FOV were increased through the development of a wide-field fluorescence SIM system. Clear improvement in image contrast was seen in structured illumination images compared to uniform illumination images. Additionally, the FOV is over 13X larger than the fluorescence microendoscope used in aim 1. Initial segmentation results of SIM images revealed that SCA is unable to segment large numbers of APFs in the tumor images. Because the FOV of the SIM system is over 13X larger than the FOV of the fluorescence microendoscope, dense collections of APFs commonly seen in tumor images could no longer be sparsely represented, and the fundamental sparsity assumption associated with SCA was no longer met. Thus, an algorithm called maximally stable extremal regions (MSER) was investigated as an alternative approach for APF segmentation in SIM images. MSER was able to accurately segment large numbers of APFs in SIM images of tumor tissue. In addition to optimizing MSER for SIM image segmentation, an optimal frequency of the illumination pattern used in SIM was carefully selected because the image signal to noise ratio (SNR) is dependent on the grid frequency. A grid frequency of 31.7 mm-1 led to the highest SNR and lowest percent error associated with MSER segmentation.

Once MSER was optimized for SIM image segmentation and the optimal grid frequency was selected, a quantitative model was developed to diagnose mouse sarcoma tumor margins that were imaged ex vivo with SIM. Tumor margins were stained with acridine orange (AO) in aim 2 because AO was found to stain the sarcoma tissue more brightly than acriflavine. Both acriflavine and AO are intravital dyes, which have been shown to stain nuclei, skeletal muscle, and collagenous stroma. A tissue-type classification model was developed to differentiate localized regions (75x75 µm) of tumor from skeletal muscle and adipose tissue based on the MSER segmentation output. Specifically, a logistic regression model was used to classify each localized region. The logistic regression model yielded an output in terms of probability (0-100%) that tumor was located within each 75x75 µm region. The model performance was tested using a receiver operator characteristic (ROC) curve analysis that revealed 77% sensitivity and 81% specificity. For margin classification, the whole margin image was divided into localized regions and this tissue-type classification model was applied. In a subset of 6 margins (3 negative, 3 positive), it was shown that with a tumor probability threshold of 50%, 8% of all regions from negative margins exceeded this threshold, while over 17% of all regions exceeded the threshold in the positive margins. Thus, 8% of regions in negative margins were considered false positives. These false positive regions are likely due to the high density of APFs present in normal tissues, which clearly demonstrates a challenge in implementing this automatic algorithm based on AO staining alone.

Thus, the third aim was to improve the specificity of the diagnostic model through leveraging other sources of contrast. Modifications were made to the SIM system to enable fluorescence imaging at a variety of wavelengths. Specifically, the SIM system was modified to enabling imaging of red fluorescent protein (RFP) expressing sarcomas, which were used to delineate the location of tumor cells within each image. Initial analysis of AO stained panels confirmed that there was room for improvement in tumor detection, particularly in regards to false positive regions that were negative for RFP. One approach for improving the specificity of the diagnostic model was to investigate using a fluorophore that was more specific to staining tumor. Specifically, tetracycline was selected because it appeared to specifically stain freshly excised tumor tissue in a matter of minutes, and was non-toxic and stable in solution. Results indicated that tetracycline staining has promise for increasing the specificity of tumor detection in SIM images of a preclinical sarcoma model and further investigation is warranted.

In conclusion, this work presents the development of a combination of tools that is capable of automated segmentation and quantification of micro-anatomical images of thick tissue. When compared to the fluorescence microendoscope, wide-field multispectral fluorescence SIM imaging provided improved image contrast, a larger FOV with comparable resolution, and the ability to image a variety of fluorophores. MSER was an appropriate and rapid approach to segment dense collections of APFs from wide-field SIM images. Variables that reflect the morphology of the tissue, such as the density, size, and shape of nuclei and nucleoli, can be used to automatically diagnose SIM images. The clinical utility of SIM imaging and MSER segmentation to detect microscopic residual disease has been demonstrated by imaging excised preclinical sarcoma margins. Ultimately, this work demonstrates that fluorescence imaging of tissue micro-anatomy combined with a specialized algorithm for delineation and quantification of features is a means for rapid, non-destructive and automated detection of microscopic disease, which could improve cancer management in a variety of clinical scenarios.

Structured Illumination Microscopy and a Quantitative Image Analysis for the Detection of Positive Margins in a Pre-Clinical Genetically Engineered Mouse Model of Sarcoma.

Intraoperative assessment of surgical margins is critical to ensuring residual tumor does not remain in a patient. Previously, we developed a fluorescence structured illumination microscope (SIM) system with a single-shot field of view (FOV) of 2.1 × 1.6 mm (3.4 mm2) and sub-cellular resolution (4.4 μm). The goal of this study was to test the utility of this technology for the detection of residual disease in a genetically engineered mouse model of sarcoma. Primary soft tissue sarcomas were generated in the hindlimb and after the tumor was surgically removed, the relevant margin was stained with acridine orange (AO), a vital stain that brightly stains cell nuclei and fibrous tissues. The tissues were imaged with the SIM system with the primary goal of visualizing fluorescent features from tumor nuclei. Given the heterogeneity of the background tissue (presence of adipose tissue and muscle), an algorithm known as maximally stable extremal regions (MSER) was optimized and applied to the images to specifically segment nuclear features. A logistic regression model was used to classify a tissue site as positive or negative by calculating area fraction and shape of the segmented features that were present and the resulting receiver operator curve (ROC) was generated by varying the probability threshold. Based on the ROC curves, the model was able to classify tumor and normal tissue with 77% sensitivity and 81% specificity (Youden's index). For an unbiased measure of the model performance, it was applied to a separate validation dataset that resulted in 73% sensitivity and 80% specificity. When this approach was applied to representative whole margins, for a tumor probability threshold of 50%, only 1.2% of all regions from the negative margin exceeded this threshold, while over 14.8% of all regions from the positive margin exceeded this threshold.

Thiazolidinediones: effects on insulin resistance and the cardiovascular system.

Abstract
Thiazolidinediones (TZDs) have been used for the treatment of hyperglycaemia in type 2 diabetes for the past 10 years. They may delay the development of type 2 diabetes in individuals at high risk of developing the condition, and have been shown to have potentially beneficial effects on cardiovascular risk factors. TZDs act as agonists of peroxisome proliferator-activated receptor-gamma (PPAR-gamma) primarily in adipose tissue. PPAR-gamma receptor activation by TZDs improves insulin sensitivity by promoting fatty acid uptake into adipose tissue, increasing production of adiponectin and reducing levels of inflammatory mediators such as tumour necrosis factor-alpha (TNF-alpha), plasminogen activator inhibitor-1(PAI-1) and interleukin-6 (IL-6). Clinically, TZDs have been shown to reduce measures of atherosclerosis such as carotid intima-media thickness (CIMT). However, in spite of beneficial effects on markers of cardiovascular risk, TZDs have not been definitively shown to reduce cardiovascular events in patients, and the safety of rosiglitazone in this respect has recently been called into question. Dual PPAR-alpha/gamma agonists may offer superior treatment of insulin resistance and cardioprotection, but their safety has not yet been assured