Pathogenesis of calcific aortic valve disease

Abstract Calcific aortic valve disease (CAVD) represents a disease spectrum, ranging from mild aortic valve sclerosis to severe obstructive aortic stenosis (AS), associated with a high risk of myocardial infarction and cardiovascular death. It is a common disease in the Western countries, and with their aging populations, its prevalence is likely to increase. Today, CAVD is recognized as an actively regulated disease. Mechanical stress and endothelial injury are the initiating factors, followed by lipid accumulation and oxidation, leading to inflammation, fibrosis and calcification. Ultimately, the progressive calcification hinders the normal valvular function and obstructs the flow of blood through the valve. The only effective treatment for symptomatic AS is aortic valve replacement. The trials with pharmacological treatments, mainly with anti-atherosclerotic drugs, have not been successful in slowing the progression of the disease. This study was aimed to identify differentially expressed transcripts, and molecular markers taking part in the pathophysiology behind CAVD. In particular, factors related to the renin-angiotensin system, and the apelin – APJ pathway, were investigated during the development of CAVD. In addition, the expressions of granzymes and perforin, as well as podoplanin, were studied in different stages of CAVD. It was demonstrated that these molecules are expressed in aortic valves and dysregulated in AS. These results can help to clarify the mechanisms driving CAVD, thus being potential targets for pharmacological therapy. Furthermore, the studied molecules may reflect the stage and possible subgroups of CAVD.Tiivistelmä Aorttaläpän ahtauma edustaa tautijatkumoa, joka alkaa lievästä aorttaläpän paksuuntumisesta eli aorttaskleroosista ja jatkuu vaikeaan aorttaläpän kalkkeutuneeseen ahtaumaan eli aorttastenoosiin, johon liittyy korkea sydäninfarktin ja sydän- ja verisuonitatutiperäisen kuoleman riski. Aorttaläpän ahtauma on yleinen tauti länsimaissa, ja väestön ikääntyessä sen esiintyvyys on luultavimmin lisääntymässä. Nykyään aorttaläpän ahtauman tiedetään olevan aktiivisesti säädelty tauti. Mekaaninen rasitus ja endoteelivaurio käynnistävät tautiprosessin, läppäkudokseen kertyy lipidejä ja ne hapettuvat, mikä johtaa tulehdukseen, sidekudoksen lisääntymiseen ja kalkkeutumiseen. Lopulta etenevä kalkkeutuminen heikentää läpän normaalia toimintaa ja estää veren normaalia virtausta sydämestä aorttaan. Ainoa tehokas hoito oireiseen aorttastenoosiin on aorttaläpän korvausleikkaus. Lääkehoitoina on kokeiltu erityisesti ateroskleroosin hoitoon käytettäviä lääkkeitä, mutta niillä ei ole onnistuttu estämään taudin etenemistä. Tässä väitöskirjatyössä tutkittiin molekyylejä ja biokemiallisia reittejä, jotka liittyvät reniini-angiotensiinijärjestelmään ja apeliini-APJ-reittiin. Lisäksi tutkittiin grantsyymien ja perforiinin sekä podoplaniinin ilmentymistä aorttaläpän ahtauman eri kehitysvaiheissa. Tulosten perusteella näitä tekijöitä ilmennetään aorttaläpässä ja niiden määrä on muuttunut kalkkeutuneessa läpässä. Tulokset auttavat osaltaan ymmärtämään aorttaläpän ahtaumaan ja kalkkeutumiseen johtavia mekanismeja, joita voidaan hyödyntää uusia lääkehoidon kohteita suunniteltaessa. Tutkitut molekulaariset tekijät voivat kuvastaa aortan ahtaumataudin vaiheita ja mahdollisia alaryhmiä

Pieni munuaiskasvain eri erikoisalojen yhteisenä haasteena

Tiivistelmä Pienellä munuaiskasvaimella tarkoitetaan alle neljän senttimetrin kokoista kasvainta, joka todetaan yleensä vatsan alueen kuvauksessa sattumalöydöksenä. Pienet munuaismuutokset muodostavat haasteen niin hoitavalle lääkärille, radiologille kuin patologillekin. Kuvantamistutkimuksilla tai aina edes kasvaimesta otetulla neulanäytteellä ei voida varmasti erottaa hyvänlaatuisia kasvaimia pahanlaatuisista. Diagnostiikan epävarmuus johtaa toistuviin kuvantamistutkimuksiin ja turhiin toimenpiteisiin, aiheuttaa potilaassa ja lääkärissä huolta sekä lisää terveydenhuollon kustannuksia. Hoitavan lääkärin tehtävänä on arvioida, onko löydös potilaan kannalta kliinisesti merkittävä ja vaatiiko se seurantaa tai hoitoa. Iäkkäiden ja monisairaiden osalta on tärkeää tunnistaa, milloin potilas ei hyödy pienen munuaiskasvaimen aktiivisesta seurannasta tai hoidosta

Menaquinone 4 increases plasma lipid levels in hypercholesterolemic mice

Abstract In calcific aortic valve disease (CAVD) progressive valvular calcification causes aortic valve dysfunction. CAVD has several risk factors such as age and dyslipidemia. Vitamin K was shown to inhibit vascular calcification in mice and valvular calcification in patients with CAVD. We studied the effect of menaquinone 4 (MK4/vitamin K2) on valvular calcification in the hypercholesterolemic mouse model of CAVD. LDLr−/− ApoB100/100 male mice were fed with a Western diet for 5 months, with (n = 10) or without (n = 10) added 0.2 mg/g MK4. Body weight gain was followed weekly. Morphology of aortic valves and liver was assessed with immunohistochemistry. Plasma cholesterol levels and cytokines from hepatic tissue were assessed in the end of the study. Hepatic gene expression of lipid metabolism regulating genes were assessed after 18 h diet. MK4 exacerbated the lipoprotein lipid profile without affecting aortic valve morphology in hypercholesterolemic LDLr−/− ApoB100/100 mice. The MK4-containing WD diet increased plasma levels of LDL and triglycerides, hepatic steatosis, and mRNA expression of genes required for triglyceride and cholesterol synthesis. MK4 diminished levels of several cytokines and chemokines in liver, including IL-6, TNFα and MCP1, as measured by hepatic cytokine array. Consequently, MK4 may exert non-beneficial effects on circulating lipid levels, especially in hypercholesterolemic individuals

Histological imaging of unstained cancer tissue samples by circularly polarized light

Abstract We introduce a high-resolution polarization imaging approach for automatic stand-alone classification of the unstained breast cancer tissue blocks by using K-means cluster analysis of the Stokes vectors projected on the Poincaré sphere

Optimized JPEG 2000 compression for efficient storage of histopathological whole-slide images

Abstract Background: Whole slide images (WSIs, digitized histopathology glass slides) are large data files whose long-term storage remains a significant cost for pathology departments. Currently used WSI formats are based on lossy image compression alogrithms, either using JPEG or its more efficient successor JPEG 2000. While the advantages of the JPEG 2000 algorithm (JP2) are commonly recognized, its compression parameters have not been fully optimized for pathology WSIs. Methods: We defined an optimized parametrization for JPEG 2000 image compression, designated JP2-WSI, to be used specifically with histopathological WSIs. Our parametrization is based on allowing a very high degree of compression on the background part of the WSI while using a conventional amount of compression on the tissue-containing part of the image, resulting in high overall compression ratios. Results: When comparing the compression power of JP2-WSI to the commonly used fixed 35:1 compression ratio JPEG 2000 and the default image formats of proprietary Aperio, Hamamatsu, and 3DHISTECH scanners, JP2-WSI produced the smallest file sizes and highest overall compression ratios for all 17 slides tested. The image quality, as judged by visual inspection and peak signal-to-noise ratio (PSNR) measurements, was equal to or better than the compared image formats. The average file size by JP2-WSI amounted to 15, 9, and 16 percent, respectively, of the file sizes of the three commercial scanner vendors’ proprietary file formats (3DHISTECH MRXS, Aperio SVS, and Hamamatsu NDPI). In comparison to the commonly used 35:1 compressed JPEG 2000, JP2-WSI was three times more efficient. Conclusions: JP2-WSI allows very efficient and cost-effective data compression for whole slide images without loss of image information required for histopathological diagnosis

Increased mesenchymal podoplanin expression is associated with calcification in aortic valves

Abstract Background and aim of the study: Calcific aortic valve disease (CAVD) is a progressive disease starting from mild valvular sclerosis and progressing to severe aortic stenosis (AS) with calcified valves. The origin of the calcification is proposed to be mesenchymal cells which have differentiated towards an osteoblastic phenotype. Podoplanin is a glycoprotein expressed in the endothelium of lymphatic vessels and in osteoblasts and osteocytes, mesenchymal cells, as well as in many carcinomas and aortic atherosclerotic lesions. In CAVD, its expression has been evaluated only as a marker of the lymphatic vasculature. Materials and methods: We determined podoplanin expression in human aortic valves in four patient groups: control (C, n=7), aortic regurgitation (AR, n=8), aortic regurgitation and fibrosis (AR + f, n=15) and AS (n=49) by immunohistochemistry and quantitative real-time PCR (RT-PCR). Results: Immunohistochemically, podoplanin expression was significantly increased in AR + f and AS groups when compared with the control and AR groups and the level of expression positively correlated with the extent of calcification and vascularity. Podoplanin mRNA levels were 1.7-fold higher in the AS group as compared with the control group (P=.05). Podoplanin-positivity was present not only in lymphatic vessel endothelium but also in osteoblasts, osteocytes, chondrocytes, macrophages and extracellular matrix. The majority of the podoplanin-positivity was in spindle cells with a myofibroblastic phenotype, often associated with calcifications. Tricuspid valves had more calcification-associated podoplanin than bi/unicuspid valves (median 1.52 vs 1.16, P<.001). Conclusions: CAVD is characterized by an increased expression of podoplanin; this is associated with the differentiation of valvular interstitial cells into calcium-producing, myofibroblast-like cells. In addition, tricuspid valves express relatively more podoplanin than bi/unicuspid valves

Activation of nuclear receptor PXR impairs glucose tolerance and dysregulates GLUT2 expression and subcellular localization in liver

Abstract Pregnane X receptor (PXR) is a nuclear receptor that senses chemical environment and is activated by numerous clinically used drugs and environmental contaminants. Previous studies have indicated that several drugs known to activate PXR appear to induce glucose intolerance. We now aimed to reveal the role of PXR in drug-induced glucose intolerance and characterize the mechanisms involved. We used PXR knockout mice model to investigate the significance of this nuclear receptor in the regulation of glucose tolerance. PXR ligand pregnenolone-16ɑ-carbonitrile (PCN) impaired glucose tolerance in the wildtype mice but not in the PXR knockout mice. Furthermore, DNA microarray and bioinformatics analysis of differentially expressed genes and glucose metabolism relevant pathways in PCN treated primary hepatocytes indicated that PXR regulates genes involved in glucose uptake. PCN decreased the expression of glucose transporter 2 (GLUT2) in mouse liver and in the wildtype mouse hepatocytes but not in the PXR knockout cells. Data mining of published chromatin immunoprecipitation-sequencing results indicate that Glut2 gene is a direct PXR target. Furthermore, PCN induced internalization of GLUT2 protein from the plasma membrane to the cytosol in the liver in vivo and repressed glucose uptake in the primary hepatocytes. Our results indicate that the activation of PXR impairs glucose tolerance and thus PXR represents a novel diabetogenic pathway. PXR activation dysregulates GLUT2 function by two different mechanisms. These findings may partly explain the diabetogenic effects of medications and environmental contaminants

Pregnane X receptor activation remodels glucose metabolism to promote NAFLD development in obese mice

Abstract Objective: Both obesity and exposure to chemicals may induce non-alcoholic fatty liver disease (NAFLD). Pregnane X Receptor (PXR) is a central target of metabolism disrupting chemicals and disturbs hepatic glucose and lipid metabolism. We hypothesized that the metabolic consequences of PXR activation may be modified by existing obesity and associated metabolic dysfunction. Methods: Wildtype and PXR knockout male mice were fed high-fat diet to induce obesity and metabolic dysfunction. PXR was activated with pregnenolone-16α-carbonitrile. Glucose metabolism, hepatosteatosis, insulin signaling, glucose uptake, liver glycogen, plasma and liver metabolomics, and liver, white adipose tissue, and muscle transcriptomics were investigated. Results: PXR activation aggravated obesity-induced liver steatosis by promoting lipogenesis and inhibiting fatty acid disposal. Accordingly, hepatic insulin sensitivity was impaired and circulating alanine aminotransferase level increased. Lipid synthesis was facilitated by increased liver glucose uptake and utilization of glycogen reserves resulting in dissociation of hepatosteatosis and hepatic insulin resistance from the systemic glucose tolerance and insulin sensitivity. Furthermore, glucagon-induced hepatic glucose production was impaired. PXR deficiency did not protect from the metabolic manifestations of obesity, but the liver transcriptomics and metabolomics profiling suggest diminished activation of inflammation and less prominent changes in the overall metabolite profile. Conclusions: Obesity and PXR activation by chemical exposure have a synergistic effect on NAFLD development. To support liver fat accumulation the PXR activation reorganizes glucose metabolism that seemingly improves systemic glucose metabolism. This implies that obese individuals, already predisposed to metabolic diseases, may be more susceptible to harmful metabolic effects of PXR-activating drugs and environmental chemicals

Association of temporomandibular disorders with pain sensitivity:a cohort study

Abstract Background: Pain related to temporomandibular disorders (TMD) can be linked with multiple site pain (MSP), and may associate with increased pain sensitivity, more frequently among women than men. The aim of the study was to examine the associations of pressure pain threshold (PPT) and tolerance (PPTo) with TMD and associated MSP in the Northern Finland Birth Cohort 1966 (NFBC1966) study. Methods: Altogether 1961 NFBC1966 subjects attended clinical medical and dental examination at the Institute of Dentistry, University of Oulu in 2012–2013. Clinical examinations were carried out using a modified Diagnostic Criteria for TMD protocol (DC/TMD). MSP was defined based on questions regarding body pain sites. Additionally, PPT and PPTo were assessed using algometer measurements. Mann–Whitney U-test and Tobit regression models were used to analyse associations between TMD sub-diagnoses, MSP, PPT and PPTo, stratified by sex. Further models were adjusted with anxiety and depressive symptoms, which were assessed using Hopkins Symptom Checklist-25 (HSCL-25) and two-way interaction terms. Results: Among females, lower PPT and PPTo were associated with myalgia and arthralgia. Among males, lower PPT and PPTo were associated with MSP-linked TMD. Tobit regression analysis showed significantly lower PPT and PPTo values in the myalgia and arthralgia subgroups among female TMD subjects. Among females, disc displacement with reduction had an inverse association with PPT and PPTo. Among males, lower PPTo was associated with degenerative joint disease and MSP-linked TMD. Conclusions: The pain regulatory mechanisms behind TMD act differently between the genders as local TMD among females and MSP-linked TMD among males were associated with pain sensitivity. Significance: The study shows that there are differences in the associations of painful TMD with pressure pain tolerance, pressure pain sensitivity and MSP between male and female subjects

Optimized detection and segmentation of nuclei in gastric cancer images using stain normalization and blurred artifact removal

Abstract Histological analysis with microscopy is the gold standard to diagnose and stage cancer, where slides or whole slide images are analyzed for cell morphological and spatial features by pathologists. The nuclei of cancerous cells are characterized by nonuniform chromatin distribution, irregular shapes, and varying size. As nucleus area and shape alone carry prognostic value, detection and segmentation of nuclei are among the most important steps in disease grading. However, evaluation of nuclei is a laborious, time-consuming, and subjective process with large variation among pathologists. Recent advances in digital pathology have allowed significant applications in nuclei detection, segmentation, and classification, but automated image analysis is greatly affected by staining factors, scanner variability, and imaging artifacts, requiring robust image preprocessing, normalization, and segmentation methods for clinically satisfactory results. In this paper, we aimed to evaluate and compare the digital image analysis techniques used in clinical pathology and research in the setting of gastric cancer. A literature review was conducted to evaluate potential methods of improving nuclei detection. Digitized images of 35 patients from a retrospective cohort of gastric adenocarcinoma at Oulu University Hospital in 1987–2016 were annotated for nuclei (n = 9085) by expert pathologists and 14 images of different cancer types from public TCGA dataset with annotated nuclei (n = 7000) were used as a comparison to evaluate applicability in other cancer types. The detection and segmentation accuracy with the selected color normalization and stain separation techniques were compared between the methods. The extracted information can be supplemented by patient’s medical data and fed to the existing statistical clinical tools or subjected to subsequent AI-assisted classification and prediction models. The performance of each method is evaluated by several metrics against the annotations done by expert pathologists. The F1-measure of 0.854 ± 0.068 is achieved with color normalization for the gastric cancer dataset, and 0.907 ± 0.044 with color deconvolution for the public dataset, showing comparable results to the earlier state-of-the-art works. The developed techniques serve as a basis for further research on application and interpretability of AI-assisted tools for gastric cancer diagnosis