3,562 research outputs found

    Advanced glycation end products and age-related diseases in the general population

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    In this thesis, epidemiological, nutritional, and gut microbiome related studies are presented to illustrate the relation of advanced glycation end products (AGEs) with age-related diseases. The studies are embedded in the Rotterdam Study, a cohort of the Dutch general population of middle-aged and elderly adults. The amount of skin AGEs measured as SAF was used as a representative of the long-term AGE burden. Chapter 1 gives an overview of the whole thesis (Section 1.1) and gives a brief introduction to AGEs and their implications in disease pathophysiology. Chapter 2 focuses on the interplay of AGEs in the skin and clinical and lifestyle factors, and Chapter 3 concerns the link of skin and dietary AGEs with age-related diseases. Chapter 4 discusses the interpretations and implications of the findings, major methodological considerations, and pressing questions for future research

    Advanced glycation end products and age-related diseases in the general population

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    In this thesis, epidemiological, nutritional, and gut microbiome related studies are presented to illustrate the relation of advanced glycation end products (AGEs) with age-related diseases. The studies are embedded in the Rotterdam Study, a cohort of the Dutch general population of middle-aged and elderly adults. The amount of skin AGEs measured as SAF was used as a representative of the long-term AGE burden. Chapter 1 gives an overview of the whole thesis (Section 1.1) and gives a brief introduction to AGEs and their implications in disease pathophysiology. Chapter 2 focuses on the interplay of AGEs in the skin and clinical and lifestyle factors, and Chapter 3 concerns the link of skin and dietary AGEs with age-related diseases. Chapter 4 discusses the interpretations and implications of the findings, major methodological considerations, and pressing questions for future research

    Breeding Melons for Resistance to Viral and Fungal Diseases. Exploiting the Multi-Resistant Accession TGR-1551

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    [ES] Las cucurbitáceas son la segunda familia de hortícolas más importante a nivel mundial, solo por detrás de las solanáceas. Tradicionalmente su cultivo se ha llevado a cabo en las zonas templadas del planeta. Sin embargo, las condiciones de cambio climático, el comercio internacional y los modelos de agricultura intensiva favorecen la aparición de nuevas virosis y enfermedades fúngicas en zonas donde antes no estaban presentes. En este sentido, resulta esencial el monitoreo periódico de las principales zonas productoras, para así poder detectar los virus y hongos emergentes en cada territorio y adaptar los programas de mejora a los objetivos específicos de cada zona. En el caso concreto del melón (Cucumis melo) existe una gran variabilidad intraespecífica que puede servir como fuente de alelos de resistencia frente a estos patógenos. Sin embargo, las fuentes de resistencia suelen encontrarse dentro del germoplasma silvestre, normalmente originario de África o Asia, y en el que el nivel de domesticación es reducido. Para un mejor aprovechamiento de las accesiones resistentes, resulta necesario un estudio del control genético de los caracteres de interés, que permita localizar las regiones asociadas a la resistencia y diseñar marcadores moleculares asociadas a las mismas. Esto facilita los programas de mejora orientados a la introgresión de las resistencias manteniendo el fondo genético de las variedades de interés En la presente tesis doctoral, durante las campañas de verano de 2019 y 2020, se ha llevado a cabo un estudio de la incidencia y diversidad genética de 9 especies virales potencialmente limitantes para el cultivo de cucurbitáceas en el sur este español. Se ha podido observar que los virus transmitidos por pulgones son prevalentes frente a los transmitidos por mosca blanca. Dentro del primer grupo destacó la presencia de watermelon mosaic virus (WMV), cucurbits aphid borne yellows virus (CABYV) y cucumber mosaic virus (CMV), ya que fueron detectados en todas las zonas y cultivos estudiados, apareciendo frecuentemente en infecciones mixtas. Moroccan watermelon mosaic virus (MWMV) y tomato leaf curl New Delhi virus (ToLCNDV) también fueron detectados en algunas zonas, pero con porcentajes de infección más bajos y normalmente en infecciones mixtas con WMV. Los análisis filogenéticos de los distintos aislados encontrados ha permitido la identificación de 7 nuevos perfiles moleculares de WMV y de aislados recombinantes de CMV, lo que es consistente con los resultados obtenidos en otros países y pone de manifiesto la gran variabilidad de estos patógenos. Las accesiones silvestres de melón recogidas en distintos bancos de germoplasma son un valioso recurso para los programas de mejora genética frente a estreses bióticos. La accesión africana TGR-1551 ha sido descrita previamente como resistente a WMV, CYSDV (cucurbit yellow stunting disorder virus), CABYV y el hongo Podosphaera xanthii (Px, razas 1, 2 y 5) agente causal del oídio en melón. Además, es tolerante a la mosca blanca (Bemisia tabaci) y portadora del gen Vat (virus aphid transmission), el cual limita la transmisión de virus por pulgón. Por lo tanto, esta accesión constituye una buena fuente de alelos de resistencia y, al poder utilizar un único parental donante, su uso acortaría los programas de mejora. En el marco de la presente tesis doctoral, mediante el desarrollo de poblaciones segregantes de mapeo y el aprovechamiento de las tecnologías de genotipado masivo se han podido cartografiar los QTLs asociados a la resistencia a CYSDV derivados de esta entrada. En el caso de la resistencia a CYSDV, se han detectado dos QTL en el cromosoma 5. El primero de ellos es de efecto mayor y herencia dominante, estando asociado al desarrollo de síntomas. El segundo QTL, de efecto menor y también de herencia dominante, no confiere resistencia por sí mismo y está asociado a la carga viral durante la infección. Siguiendo una estrategia similar se han podido cartografiar y estrecha[CA] Les cucurbitàcies són la segona família d'hortícoles més important a nivell mundial, només per darrere de les solanàcies. Tradicionalment el seu cultiu s'ha dut a terme a les zones temperades del planeta. No obstant això, les condicions de canvi climàtic, el comerç internacional i els models d'agricultura intensiva afavoreixen l'aparició de noves virosis i malalties fúngiques en zones on abans no estaven presents. En aquest sentit, resulta essencial el monitoratge periòdic de les principals zones productores, per a d'aquesta manera, poder detectar els virus i fongs emergents en cada territori i adaptar els programes de millora als objectius específics de cada zona. En el cas concret del meló (Cucumis melo) existeix una gran variabilitat intraespecífica que pot servir com a font d'al·lels de resistència enfront d'aquests patògens. No obstant això, les fonts de resistència solen trobar-se dins del germoplasma silvestre, normalment originari d'Àfrica o Àsia, i en el qual el nivell de domesticació és reduït. Per a un millor aprofitament de les accessions resistents, resulta necessari un estudi del control genètic dels caràcters d'interés, que permeta localitzar les regions associades a la resistència i dissenyar marcadors moleculars associats a aquestes. Això facilita els programes de millora orientats a la introgressió de les resistències mantenint el fons genètic de les varietats d'interés. En la present tesi doctoral, durant les campanyes d'estiu de 2019 i 2020, s'ha dut a terme un estudi de la incidència i diversitat genètica de nou espècies virals potencialment limitants per al cultiu de cucurbitàcies en el sud-est espanyol. S'ha pogut observar que els virus transmesos per pugons són prevalents enfront dels transmesos per mosca blanca. Dins del primer grup va destacar la presència de watermelon mosaic virus (WMV), cucurbits aphid born yellows virus (CABYV) i cucumber mosaic virus (CMV), ja que van ser detectats en totes les zones i cultius estudiats, apareixent sovint en infeccions mixtes. Moroccan watermelon mosaic virus (MWMV) i tomatoleaf curl New Delhi virus (ToLCNDV) també van ser detectats en algunes zones, però amb percentatges d'infecció més baixos i normalment en infeccions mixtes amb WMV. Les anàlisis filogenètiques dels diferents aïllats trobats ha permés la identificació de set nous perfils moleculars de WMV i d'aïllats recombinants de CMV, la qual cosa és consistent amb els resultats obtinguts en altres països i posa de manifest la gran variabilitat d'aquests patògens. Les accessions silvestres de meló recollides en diferents bancs de germoplasma són un valuós recurs per als programes de millora genètica enfront d'estressos biòtics. L'accessió africana *TGR-1551 ha sigut descrita prèviament com a resistent a WMV, CYSDV (cucurbit yellow stunting disorder virus), CABYV i el fong Podosphaera xanthii (Px, races 1, 2 i 5) agent causal de l'oïdi en meló. A més, és tolerant a la mosca blanca (Bemisia tabaci) i portadora del gen Vat (virus aphid transmission), el qual limita la transmissió de virus per pugó. Per tant, aquesta accessió constitueix una bona font d'al·lels de resistència i, en poder utilitzar un únic parental donant, el seu ús acurtaria els programes de millora. En el marc de la present tesi doctoral, mitjançant el desenvolupament de poblacions segregants de mapatge i l'aprofitament de les tecnologies de genotipat massiu s'ha pogut cartografiar els QTLs associats a la resistència a CYSDV derivats d'aquesta entrada. En el cas de la resistència a CYSDV, s'han detectat dues QTL en el cromosoma cinc. El primer d'ells és d'efecte major i herència dominant, estant associat al desenvolupament de símptomes. El segon QTL, d'efecte menor i també d'herència dominant, no confereix resistència per si mateix i està associat a la càrrega viral durant la infecció. Seguint una estratègia similar s'han pogut cartografiar i estrényer els *QTLs de resistència enfront de Px. En aquest cas es tracta d'una epistàsia dominant-re[EN] Cucurbits represent the second most important horticultural family worldwide, second only the Solanaceae family. Traditionally, their cultivation has been concentrated in temperate regions across the globe. However, climate change conditions, international trade, and intensive agricultural practices are contributing to the emergence of new viral and fungal diseases in regions where they were previously absent. In this regard, it is crucial to regularly monitor major production areas to detect emerging viruses and fungi specific to each region. This monitoring allows for the adaptation of breeding programs to the unique goals of each area. In the case of melon (Cucumis melo), it exists significant intraspecific variability that can serve as a source of resistance alleles against these pathogens. However, sources of resistance are often found within wild germplasm, typically originating from Africa or Asia, and characterized by limited domestication. To better utilize these resistant accessions, a study of the genetic control of desirable traits is necessary. This study aims to locate regions associated with resistance and design molecular markers linked to these regions. Such an approach streamlines breeding programs focused on introgressing resistance traits while preserving the genetic background of the desired varieties. During the summer campaigns of 2019 and 2020, this doctoral thesis conducted a study on the incidence and genetic diversity of nine viral species potentially affecting cucurbit cultivation in southeastern Spain. It was observed that viruses transmitted by aphids were more prevalent than those transmitted by whiteflies. Within the first group, the presence of watermelon mosaic virus (WMV), cucurbits aphid borne yellows virus (CABYV), and cucumber mosaic virus (CMV) stood out, as they were detected in all the studied areas and crops, often in mixed infections. Moroccan watermelon mosaic virus (MWMV) and tomato leaf curl New Delhi virus (ToLCNDV) were also detected in some areas but with lower infection percentages, typically in mixed infections with WMV. Phylogenetic analyses of the found isolates have identified seven new molecular profiles of WMV and recombinant CMV isolates, which is consistent with results from other countries, highlighting the extensive variability of these pathogens. Wild melon accessions preserved in various germplasm banks represent a valuable resource for breeding programs against biotic stresses. The African accession TGR-1551 has been previously described as resistant to WMV, CYSDV (cucurbit yellow stunting disorder virus), CABYV, and the fungus Podosphaera xanthii (Px, races 1, 2, and 5), which causes powdery mildew in melons. Additionally, it is tolerant to whiteflies (Bemisia tabaci) and carries the Vat gene (Virus Aphid Transmission), limiting virus transmission by aphids. Therefore, this accession constitutes as an excellent source of resistance alleles, and its use, as a single donor parent, can expedite breeding programs. Within the scope of this doctoral thesis, through the development of segregating mapping populations and the utilization of high-throughput genotyping technologies, the QTLs associated with CYSDV resistance from this accession have been mapped. In the case of CYSDV resistance, two QTLs have been detected on chromosome 5. The first of these, with major effects and dominant inheritance, is associated with symptom development. The second QTL, with minor effects and also dominant inheritance, does not confer resistance by itself and is linked to viral load during infection. A similar strategy was employed to map and narrow down the QTLs for resistance against Px. In this case, it involves a dominant-recessive epistasis, with the recessive gene located on chromosome 12 and the dominant gene on chromosome 5, specifically in the same region where the major CYSDV resistance QTL is located. Regarding resistance against WMV, previous studies conducted by the researchThis research was funded by the Spanish Ministerio de Ciencia e Innovación (MCIN/AEI/10.13039/501100011033), grant number PID2020-116055RB (C21 and C22), and by the Conselleria d’Educació, Investigació, Cultura i Esports de la Generalitat Valenciana, grant number PROMETEO/2021/072 (to promote excellence groups, cofinanced with FEDER funds). M.L. is a recipient of a predoctoral fellowship (PRE2018-083466) of the Spanish Ministerio de Ciencia, Innovación y Universidades co-financed with FSE funds.López Martín, M. (2023). Breeding Melons for Resistance to Viral and Fungal Diseases. Exploiting the Multi-Resistant Accession TGR-1551 [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/20206

    Identifying alterations in adipose tissue-derived islet GPCR peptide ligand mRNAs in obesity: implications for islet function

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    In addition to acting as an energy reservoir, white adipose tissue is a vital endocrine organ involved in the modulation of cellular function and the maintenance of metabolic homeostasis through the synthesis and secretion of peptides, known as adipokines. It is known that some of these secretory peptides play important regulatory roles in glycaemic control by acting directly on islet β-cells or on insulin-sensitive tissues. Excess adiposity causes alterations in the circulating levels of some adipokines which, depending on their mode of action, can have pro-inflammatory, pro-diabetic or anti-inflammatory, anti-diabetic properties. Some adipokines that are known to act at β-cells have actions that are transduced by binding to G protein- coupled receptors (GPCRs). This large family of receptors represents ~35% of all current drug targets for the treatment of a wide range of diseases, including type 2 diabetes (T2D). Islets express ~300 GPCRs, yet only one islet GPCR is currently directly targeted for T2D treatment. This deficit represents a therapeutic gap that could be filled by the identification of adipose tissue-derived islet GPCR peptide ligands that increase insulin secretion and overall β-cell function. Thus, by defining their mechanisms of action, there is potential for the development of new pharmacotherapies for T2D. Therefore, this thesis describes experiments which aimed to compare the expression profiles of adipose tissue-derived islet GPCR peptide ligand mRNAs under lean and obese conditions, and to characterise the functional effects of a selected candidate of interest on islet cells. Visceral fat depots were retrieved from high-fat diet-induced and genetically obese mouse models, and from human participants. Fat pads were either processed as whole tissue, or mature adipocyte cells were separated from the stromal vascular fraction (SVF) which contains several other cell populations, including preadipocytes and macrophages. The expression levels of 155 islet GPCR peptide ligand mRNAs in whole adipose tissue or in isolated mature adipocytes were quantified using optimised RNA extraction and reverse transcription-quantitative polymerase chain reaction (RT-qPCR) protocols. Comparisons between lean and obese states in mice models and humans revealed significant modifications in the expression levels of several adipokine mRNAs. As expected, mRNAs encoding the positive control genes, Lep and AdipoQ were quantifiable, with the expression of Lep mRNA increasing and that of AdipoQ mRNA decreasing in obesity. Expression of Ccl4 mRNA, encoding chemokine (C-C motif) ligand 4, was significantly upregulated in whole adipose tissue across all models of obesity compared to their lean counterparts. This coincided with elevated circulating Ccl4 peptide levels. This increase was not replicated in isolated mature adipocytes, indicating that the source of upregulated Ccl4 expression in obesity was the SVF of adipose tissue. Based on this significant increase in Ccl4 mRNA expression within visceral fat and its undetermined effects on β-cell function, Ccl4 was selected for further investigation in MIN6 β-cells and mouse islets. PRESTO-Tango β-arrestin reporter assays were performed to determine which GPCRs were activated by exogenous Ccl4. Experiments using HTLA cells expressing a protease-tagged β- arrestin and transfected with GPCR plasmids of interest indicated that 100ng/mL Ccl4 significantly activated Cxcr1 and Cxcr5, but it was not an agonist at the previously identified Ccl4-target GPCRs Ccr1, Ccr2, Ccr5, Ccr9 and Ackr2. RNA extraction and RT-qPCR experiments using MIN6 β-cells and primary islets from lean mice revealed the expression of Cxcr5 mRNA in mouse islets, but it was absent in MIN6 β-cells. The remaining putative Ccl4 receptors (Ccr1, Ccr2, Ccr5, Ccr9, Cxcr1 and Ackr2) were either absent or present at trace levels in mouse islets and MIN6 β-cells. Recombinant mouse Ccl4 protein was used for functional experiments at concentrations of 5, 10, 50 and 100ng/mL, based on previous reports of biological activities at these concentrations. Trypan blue exclusion testing was initially performed to assess the effect of exogenous Ccl4 on MIN6 β-cell viability and these experiments indicated that all concentrations (5-100ng/mL) were well-tolerated. Since β-cells have a low basal rate of apoptosis, cell death was induced by exposure to the saturated free fatty acid, palmitate, or by a cocktail of pro-inflammatory cytokines (interleukin-1β, tumour necrosis factor-α and interferon-γ). In MIN6 β-cells, Ccl4 demonstrated concentration-dependent protective effects against palmitate-induced and cytokine-induced apoptosis. Conversely, while palmitate and cytokines also increased apoptosis of mouse islets, Ccl4 did not protect islets from either inducer. Quantification of bromodeoxyuridine (BrdU) incorporation into β-cell DNA indicated that Ccl4 caused a concentration-dependent reduction in proliferation of MIN6 β-cells in response to 10% fetal bovine serum (FBS). In contrast, immunohistochemical quantification of Ki67-positive mouse islet β-cells showed no differences in β-cell proliferation between control- and Ccl4-treated islets. Whilst the number of β-cells and δ-cells were unaffected, α- cells were significantly depleted by Ccl4 treatment. Exogenous Ccl4 had no effect on nutrient- stimulated insulin secretion from both MIN6 β-cells and primary mouse islets. The 3T3-L1 preadipocyte cell line was used to assess potential Ccl4-mediated paracrine and/or autocrine signalling within adipose tissue. Ccl4 did not alter the mRNA expression of Pparγ, a master regulator of adipocyte differentiation, but did significantly downregulate the mRNA expression of the crucial adipogenic gene, adiponectin. Oil Red O staining and Western blotting were performed to assess lipid accumulation, and insulin and lipolytic signalling, respectively, and these experiments indicated that the observed Ccl4-induced decrease in adiponectin expression failed to correlate with any changes in adipocyte function. In summary, these data demonstrated anti-apoptotic and anti-proliferative actions of the adipokine, Ccl4, on MIN6 β-cells that were not replicated in mouse islets. The absence of any anti-apoptotic, insulin secretory and/or pro-proliferative effects of Ccl4 in islet β-cells suggests that it is unlikely to play a role in regulating β-cell function via crosstalk between adipose tissue and islets. The divergent functional effects highlight that whilst MIN6 cells are a useful primary β-cell surrogate for some studies, primary islets should always be used to confirm physiological relevance. On the other hand, significant α-cell depletion following Ccl4 treatment suggests a cell-specific function within the islets. Furthermore, Ccl4 impaired adiponectin mRNA expression in adipocytes, although, how adipocyte function is affected as a result requires further investigation. Collectively, these data have contributed increased understanding of the role of obesity in modifying the expression of adipose tissue-derived islet GPCR peptide ligands

    Enhancing clinical potential of liquid biopsy through a multi-omic approach: A systematic review

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    In the last years, liquid biopsy gained increasing clinical relevance for detecting and monitoring several cancer types, being minimally invasive, highly informative and replicable over time. This revolutionary approach can be complementary and may, in the future, replace tissue biopsy, which is still considered the gold standard for cancer diagnosis. “Classical” tissue biopsy is invasive, often cannot provide sufficient bioptic material for advanced screening, and can provide isolated information about disease evolution and heterogeneity. Recent literature highlighted how liquid biopsy is informative of proteomic, genomic, epigenetic, and metabolic alterations. These biomarkers can be detected and investigated using single-omic and, recently, in combination through multi-omic approaches. This review will provide an overview of the most suitable techniques to thoroughly characterize tumor biomarkers and their potential clinical applications, highlighting the importance of an integrated multi-omic, multi-analyte approach. Personalized medical investigations will soon allow patients to receive predictable prognostic evaluations, early disease diagnosis, and subsequent ad hoc treatments

    Effects of municipal smoke-free ordinances on secondhand smoke exposure in the Republic of Korea

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    ObjectiveTo reduce premature deaths due to secondhand smoke (SHS) exposure among non-smokers, the Republic of Korea (ROK) adopted changes to the National Health Promotion Act, which allowed local governments to enact municipal ordinances to strengthen their authority to designate smoke-free areas and levy penalty fines. In this study, we examined national trends in SHS exposure after the introduction of these municipal ordinances at the city level in 2010.MethodsWe used interrupted time series analysis to assess whether the trends of SHS exposure in the workplace and at home, and the primary cigarette smoking rate changed following the policy adjustment in the national legislation in ROK. Population-standardized data for selected variables were retrieved from a nationally representative survey dataset and used to study the policy action’s effectiveness.ResultsFollowing the change in the legislation, SHS exposure in the workplace reversed course from an increasing (18% per year) trend prior to the introduction of these smoke-free ordinances to a decreasing (−10% per year) trend after adoption and enforcement of these laws (β2 = 0.18, p-value = 0.07; β3 = −0.10, p-value = 0.02). SHS exposure at home (β2 = 0.10, p-value = 0.09; β3 = −0.03, p-value = 0.14) and the primary cigarette smoking rate (β2 = 0.03, p-value = 0.10; β3 = 0.008, p-value = 0.15) showed no significant changes in the sampled period. Although analyses stratified by sex showed that the allowance of municipal ordinances resulted in reduced SHS exposure in the workplace for both males and females, they did not affect the primary cigarette smoking rate as much, especially among females.ConclusionStrengthening the role of local governments by giving them the authority to enact and enforce penalties on SHS exposure violation helped ROK to reduce SHS exposure in the workplace. However, smoking behaviors and related activities seemed to shift to less restrictive areas such as on the streets and in apartment hallways, negating some of the effects due to these ordinances. Future studies should investigate how smoke-free policies beyond public places can further reduce the SHS exposure in ROK

    Investigation of host factors in influenza a virus infection

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    Influenza A virus (IAV) causes a contagious respiratory disease which can be fatal in at risk populations. Seasonal epidemics of IAV infection are responsible for as many as 650,000 human deaths annually. Antiviral drugs currently available for the treatment of IAV infection target viral polypeptides. However, as an RNA virus, IAV is able to mutate and rapidly develop resistance to these drugs. For this reason, new approaches which focus on targeting the host are being explored. IAV interacts with many host proteins which are necessary for efficient completion of the viral lifecycle; these host factors potentially make attractive drug targets for the treatment of IAV, as development of resistance to host-targeted treatments is predicted to be slower. Host factors required for IAV replication have been identified through a number of routes including targeted research based on previous knowledge of the virus and the host, and large scale screens. The work presented in this thesis aimed to investigate three cellular proteins that had been previously proposed as pro-viral host factors for IAV. Using RNA interference (RNAi) and chemical inhibitors, I sought to dissect the role of these proteins in the viral lifecycle and to assess their suitability as drug targets in the treatment of IAV infection. The arginine demethylase JMJD6 had been suggested to have a proviral role in IAV replication. In the process of refining previously developed RNAi procedures for depleting JMJD6, I found that a published siRNA used to study JMJD6 induced an interferon (IFN) response in cells. Here, I showed that IAV was able to replicate normally in cells in which JMJD6 was depleted by alternative RNAi methods that did not induce an IFN response and in JMJD6⁻/⁻ cells, strongly suggesting that the previous finding was likely an artefact of the approach used to deplete JMJD6. Thus JMJD6 was determined not to be a host factor of IAV or a suitable target for the treatment of IAV infection. Next, a host factor that had been identified in a genome-wide CRISPR screen was investigated. The cap 2’-O-methyltransferase, CMTR1, had been proposed to be required for preventing detection of viral mRNA via the IFN signalling pathway. In my hands, knockdown of CMTR1 using RNAi did not lead to enhanced IFN response to infection, nor did it inhibit the replication of IAV in cell culture. This did not support CMTR1 alone as an effective target for IAV treatment. However, preliminary results investigating CMTR1 knockdown in combination with the viral cap-dependent endonuclease inhibitor Baloxavir, suggested that future work should examine CMTR1 as a target to enhance other antiviral treatment. Finally, the N6-methyladenosine (m⁶A) reader protein IGF2BP1 was examined. IAV RNAs, both genomic and messenger, are known to contain the m⁶A modification, which is required for optimal replication efficiency. IGF2BP1, which binds to m⁶A modified mRNA to enhance stability, has been linked to IAV replication in host interaction screens. However, using RNAi and chemical inhibition, I did not find that IGF2BP1 was required for IAV replication or spread. Furthermore, overexpression of IGF2BP1 showed no effect on IAV replication. Together these findings rule out IGF2BP1 as an IAV host factor and drug target. Overall, the work presented in this study did not support the three host proteins investigated as being suitable drug targets for the treatment of IAV, although CMTR1 could still be investigated as a target for combination therapy. The ruling out of JMJD6 and IGF2BP1 can help to focus future work investigating host targets for IAV treatment

    Data- og ekspertdreven variabelseleksjon for prediktive modeller i helsevesenet : mot økt tolkbarhet i underbestemte maskinlæringsproblemer

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    Modern data acquisition techniques in healthcare generate large collections of data from multiple sources, such as novel diagnosis and treatment methodologies. Some concrete examples are electronic healthcare record systems, genomics, and medical images. This leads to situations with often unstructured, high-dimensional heterogeneous patient cohort data where classical statistical methods may not be sufficient for optimal utilization of the data and informed decision-making. Instead, investigating such data structures with modern machine learning techniques promises to improve the understanding of patient health issues and may provide a better platform for informed decision-making by clinicians. Key requirements for this purpose include (a) sufficiently accurate predictions and (b) model interpretability. Achieving both aspects in parallel is difficult, particularly for datasets with few patients, which are common in the healthcare domain. In such cases, machine learning models encounter mathematically underdetermined systems and may overfit easily on the training data. An important approach to overcome this issue is feature selection, i.e., determining a subset of informative features from the original set of features with respect to the target variable. While potentially raising the predictive performance, feature selection fosters model interpretability by identifying a low number of relevant model parameters to better understand the underlying biological processes that lead to health issues. Interpretability requires that feature selection is stable, i.e., small changes in the dataset do not lead to changes in the selected feature set. A concept to address instability is ensemble feature selection, i.e. the process of repeating the feature selection multiple times on subsets of samples of the original dataset and aggregating results in a meta-model. This thesis presents two approaches for ensemble feature selection, which are tailored towards high-dimensional data in healthcare: the Repeated Elastic Net Technique for feature selection (RENT) and the User-Guided Bayesian Framework for feature selection (UBayFS). While RENT is purely data-driven and builds upon elastic net regularized models, UBayFS is a general framework for ensembles with the capabilities to include expert knowledge in the feature selection process via prior weights and side constraints. A case study modeling the overall survival of cancer patients compares these novel feature selectors and demonstrates their potential in clinical practice. Beyond the selection of single features, UBayFS also allows for selecting whole feature groups (feature blocks) that were acquired from multiple data sources, as those mentioned above. Importance quantification of such feature blocks plays a key role in tracing information about the target variable back to the acquisition modalities. Such information on feature block importance may lead to positive effects on the use of human, technical, and financial resources if systematically integrated into the planning of patient treatment by excluding the acquisition of non-informative features. Since a generalization of feature importance measures to block importance is not trivial, this thesis also investigates and compares approaches for feature block importance rankings. This thesis demonstrates that high-dimensional datasets from multiple data sources in the medical domain can be successfully tackled by the presented approaches for feature selection. Experimental evaluations demonstrate favorable properties of both predictive performance, stability, as well as interpretability of results, which carries a high potential for better data-driven decision support in clinical practice.Moderne datainnsamlingsteknikker i helsevesenet genererer store datamengder fra flere kilder, som for eksempel nye diagnose- og behandlingsmetoder. Noen konkrete eksempler er elektroniske helsejournalsystemer, genomikk og medisinske bilder. Slike pasientkohortdata er ofte ustrukturerte, høydimensjonale og heterogene og hvor klassiske statistiske metoder ikke er tilstrekkelige for optimal utnyttelse av dataene og god informasjonsbasert beslutningstaking. Derfor kan det være lovende å analysere slike datastrukturer ved bruk av moderne maskinlæringsteknikker for å øke forståelsen av pasientenes helseproblemer og for å gi klinikerne en bedre plattform for informasjonsbasert beslutningstaking. Sentrale krav til dette formålet inkluderer (a) tilstrekkelig nøyaktige prediksjoner og (b) modelltolkbarhet. Å oppnå begge aspektene samtidig er vanskelig, spesielt for datasett med få pasienter, noe som er vanlig for data i helsevesenet. I slike tilfeller må maskinlæringsmodeller håndtere matematisk underbestemte systemer og dette kan lett føre til at modellene overtilpasses treningsdataene. Variabelseleksjon er en viktig tilnærming for å håndtere dette ved å identifisere en undergruppe av informative variabler med hensyn til responsvariablen. Samtidig som variabelseleksjonsmetoder kan lede til økt prediktiv ytelse, fremmes modelltolkbarhet ved å identifisere et lavt antall relevante modellparametere. Dette kan gi bedre forståelse av de underliggende biologiske prosessene som fører til helseproblemer. Tolkbarhet krever at variabelseleksjonen er stabil, dvs. at små endringer i datasettet ikke fører til endringer i hvilke variabler som velges. Et konsept for å adressere ustabilitet er ensemblevariableseleksjon, dvs. prosessen med å gjenta variabelseleksjon flere ganger på en delmengde av prøvene i det originale datasett og aggregere resultater i en metamodell. Denne avhandlingen presenterer to tilnærminger for ensemblevariabelseleksjon, som er skreddersydd for høydimensjonale data i helsevesenet: "Repeated Elastic Net Technique for feature selection" (RENT) og "User-Guided Bayesian Framework for feature selection" (UBayFS). Mens RENT er datadrevet og bygger på elastic net-regulariserte modeller, er UBayFS et generelt rammeverk for ensembler som muliggjør inkludering av ekspertkunnskap i variabelseleksjonsprosessen gjennom forhåndsbestemte vekter og sidebegrensninger. En case-studie som modellerer overlevelsen av kreftpasienter sammenligner disse nye variabelseleksjonsmetodene og demonstrerer deres potensiale i klinisk praksis. Utover valg av enkelte variabler gjør UBayFS det også mulig å velge blokker eller grupper av variabler som representerer de ulike datakildene som ble nevnt over. Kvantifisering av viktigheten av variabelgrupper spiller en nøkkelrolle for forståelsen av hvorvidt datakildene er viktige for responsvariablen. Tilgang til slik informasjon kan føre til at bruken av menneskelige, tekniske og økonomiske ressurser kan forbedres dersom informasjonen integreres systematisk i planleggingen av pasientbehandlingen. Slik kan man redusere innsamling av ikke-informative variabler. Siden generaliseringen av viktighet av variabelgrupper ikke er triviell, undersøkes og sammenlignes også tilnærminger for rangering av viktigheten til disse variabelgruppene. Denne avhandlingen viser at høydimensjonale datasett fra flere datakilder fra det medisinske domenet effektivt kan håndteres ved bruk av variabelseleksjonmetodene som er presentert i avhandlingen. Eksperimentene viser at disse kan ha positiv en effekt på både prediktiv ytelse, stabilitet og tolkbarhet av resultatene. Bruken av disse variabelseleksjonsmetodene bærer et stort potensiale for bedre datadrevet beslutningsstøtte i klinisk praksis

    Kohastumine onkogeense reostusega ja looduslikud vähikaitsemehhanismid veekeskkonnas

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    Väitekirja elektrooniline versioon ei sisalda publikatsiooneVähki võivad haigestuda kõik hulkraksed organismid. Liikide võime vähki alla suruda on erinev. Kuna suuremaks kasvamine ja kauem elamine suurendavad organismide vähiriski, on tugevaim kaitse suurekasvulistes ja pikaealistel liikidel. Näiteks kui inimeste vähkisuremus on umbes 17%, siis elevantidel on see alla 5%. Loomade risk haigestuda vähki ei sõltu mitte ainult elueast ja kehasuurusest, vaid ka keskkonnast. Reostus on nii inimeste kui ka teiste loomade vähki haigestumise riski suurendanud. Veekeskkonnas elavad loomad on reostuse vähki tekitava mõju osas eriti haavatavad, kuna reostus levib veekeskkonnas kiiresti ning kuhjub veekogude setetes. Oma doktoritöös uurisin reostuse ja vähitekke seoseid veeliikidel. Praeguseks on umbes 30 veeliigi puhul seost reostuse ja vähi vahel näidatud, kuid kõige paremini on see seos tõestatud kaladel. Kalad, kes kasvavad suureks ja elavad kaua, peavad suureks kasvamiseks vajalike geenide koopiate suuremat arvu kompenseerima vähikaitsegeenide koopiate arvu suurendamisega. Võrdlev uuring võimaldas ka ennustada, millised kalaliigid on kõige tugevama ja millised kõige nõrgema vähikaitsega. Merepõhjas elavate kalaliikide, jõelesta ja soomuslesta peal uurisin, miks on esimene neist liikidest vähile haavatavam kui teine. Leidsin, et vähi tekkeks peab jõelestadel olema alla surutud mitmete geenide avaldumise tase. Sama ei ole näha soomuslestade puhul. See viitab võimalusele, et jõelestadel on olemas vähikaitsemehhanismid, mis aitavad neil hoida madalamat vähitaset. Tänapäevases maailmas on looduslike vähikaitsemehhanismide mõistmine muutunud eriti oluliseks, kuna inimtekkelised keskkonnamuutused on suurendanud vähi esinemissagedust nii inimestel kui ka looduslikel liikidel. Liikide erineva haavatavuse mõistmine vähitekke kontekstis võib tulevikus aidata paremini mõista reostuse mõju looduslikele liikidele ning panustada ka parematesse regulatsioonimehhanismidesse, kaitsmaks looduslikke liike ja populatsioone väljasuremise eest.All multicellular organisms can get cancer, but species differ in their ability to resist this disease. Since large body size and longer lifespan increase the likelyhood of cancer, larger and longer living species have evolved stronger cancer defence mechanisms to protect themselves. For example, when the risk of dying because of cancer is 17% in humans, it is less than 5% in elephants. The likelihood that an animal develops cancer does not only depend on their lifespan and body size, but also of their environment. Pollution has increased cancer risk in both humans and other animals. Animals that live in aquatic environment are especially vulnerable to oncogenic pollution, since pollution spreads quickly in the water and accumulates for long time in the sediments. In my PhD thesis, I studied the links between pollution and cancer in aquatic species. This link has been so far demonstrated in 30 aquatic animal species, with most studies on fish. I have also found that fish who live longer and grow larger have to compensate the number of copies of genes allowing them to grow large with additional copies of genes suppressing cancer. My comparative study allowes also to predict which fish species have the strongest and which have the weakest genetic defences against cancer. By studying two species living in the bottom of the sea, flounder and dab, I asked why one of them is more vulnerable to cancer than the other. I found that for cancer to occur in flounder, many genes need to be suppressed. The same is not seen in dabs. This suggests that flounders have defence mechanisms against cancer that are not present in dab. Currently, understanding natural cancer defence mechanisms has become crucial, as human induced environmental change has increased cancer prevalence in both humans and wild species. Understanding the differences between species in cancer defences can help to predict the effect of pollution on wild species, and contribute to the development of better regulatory mechanisms for protecting wild species.https://www.ester.ee/record=b555737

    Effects of vascular endothelial growth factor receptor-1 inhibition on vasculogenic mimicry and the metabolic profile of breast cancer cells in vitro

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    Thesis (PhD (Physiology))--University of Pretoria, 2023.Female breast cancer is the leading diagnosed cancer globally and the fifth leading cause of cancer mortality worldwide. The ability of breast cancer cells to form vessel-like structures through vasculogenic mimicry (VM) contributes to cancer progression. Vasculogenic mimicry provides a route for the transportation of blood and nutrients, which sustains the growth and survival of breast tumours. Thus, in patients with breast cancer, VM is associated with high tumour grade, metastasis, and poor prognosis. The steps involved in VM include the proliferation and migration of cancer cells, their invasion of the extracellular matrix, and finally, the formation of tube-like structures. The vascular endothelial growth factor receptor-1 (VEGFR-1) signalling pathway is involved in VM, and targeting VEGFR-1 might have clinical relevance and warrants consideration when designing targeted therapies for breast cancer. Vascular endothelial growth factor receptor-1 is also associated with the metabolic adaptation of cancer cells, as observed in cancer patients who show a correlation between vascular endothelial growth factor A/VEGFR-1 expression and serum lactic acid levels. Indeed, VEGFR-1 promotes the Warburg effect associated with an enhanced acidic environment, which also induces the degradation and remodelling of the extracellular microenvironment. Therefore, the aim of the study was to investigate the effects of VEGFR-1 inhibition on the steps associated with VM, namely, cell growth, migration, invasion, and metabolism in breast cancer cells in vitro using VEGFR-1 inhibitors (ZM 306416 and sunitinib malate). Human breast cancer cell lines, MCF-10A, MCF-7, and MDA-MB 231 cells were maintained in an incubator at a temperature of 370C and in a humidified atmosphere containing 5% CO2. The effect of VEGFR-1 inhibition on cell viability was measured using the crystal violet assay on MCF-10A (a non-cancerous breast cell line), and breast cancer cell lines, MCF-7 and MDA-MB-231. For subsequent experiments, MDA-MB-231 cells were used as a model of investigation because profound effects (being highly responsive to the drugs of investigation) were observed with this cell line. Light microscopy was employed to study cell morphology. The effect of VEGFR-1 inhibition on cell migration and invasion was assessed using the scratch assay and the Boyden chamber, respectively. The optimisation of liquid chromatography with the tandem mass spectrometry method for the simultaneous assay of metabolites in cell culture preparations was determined. Lastly, the effects of treatment on the metabolic profile of breast cells were assessed using liquid chromatography with tandem mass spectrometry, enzyme-linked immunosorbent assay, and a pH meter/electrode. The results demonstrated that sunitinib malate had great efficacy and potency than ZM 306416, as sunitinib malate is a multi-kinase inhibitor. Overall, inhibiting VEGFR-1 reduces cell growth and alters breast cancer cell morphology. In addition, inhibiting the VEGFR-1 signalling pathway attenuates migration and invasion possibly by reducing ATP formation and the extracellular fluid acidity. Optimisation of mass spectrometry in terms of achieving mass ratio and ionisation mode of analytes (glucose-6-phosphate, fructose-6-phosphate, pyruvate, lactate, and glutamate) was achieved, however the optimisation of liquid chromatography was challenging, although it was discovered that analytes of interest in this study should be analysed using the Luna NH2 column to achieve retention and high separation. This study has formed the basis for further investigation of VEGFR-1 targeting in reducing VM and altering metabolic patterns in breast cancer to improve the treatment of this disease.PhysiologyPhD (Physiology)Unrestricte
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