Lung cancer is the leading cause of cancer death in the Netherlands. For years chemotherapy was the only (palliative) treatment, with a short survival of only months. Since the introduction of... Show moreLung cancer is the leading cause of cancer death in the Netherlands. For years chemotherapy was the only (palliative) treatment, with a short survival of only months. Since the introduction of immunotherapy in 2015, this survival has increased significantly, with the first results showing a survival of even a few years. However, the response rate is relatively low, the treatment is expensive and the (low percentage of) side effects are severe. Therefore a biomarker is needed to predict which patients would benefit of immunotherapy.This thesis is about the search for a new biomarker. With the use of the RNA of platelets, proteins, tumor markers in blood and a an electronic nose for exhaled breath, we tried to find a non-invasive biomarker for the prediction of response on immunotherapy and for the (future) use in clinical practice, some of which are promising. Show less
Cerebral Amyloid Angiopathy (CAA) is one of the main causes of intracerebral hemorrhage (ICH) in the elderly, and affects millions of people worldwide. CAA is caused by the deposition of the... Show moreCerebral Amyloid Angiopathy (CAA) is one of the main causes of intracerebral hemorrhage (ICH) in the elderly, and affects millions of people worldwide. CAA is caused by the deposition of the protein Amyloid-β in the walls of the cerebral and leptomeningeal vessels, which leads to vessel fragility and eventually rupture. CAA has a variable disease course and can present with a spectrum of symptoms. There is currently no cure for CAA, and certain diagnosis during life remains challenging.This thesis has used data from patients with hereditary and non-hereditary (sporadic) CAA to investigate novel clinical and radiological (MRI) markers of CAA, and has used them to formulate a pathophysiologic framework for the temporal ordering of disease processes in CAA. Our results provide new insights in the disease cascade, can aid in diagnosing the disease and have important implications for future clinical trial design, aiding in the identification and timing of candidates for disease-modifying treatments and the choice for the appropriate biomarkers to monitor treatment effect. CAA is a disease with a complex disease cascade and a large variety in disease course, both clinically and radiologically. However, it is just this variety that gives hope for the future: if we find what drives variability in CAA we might find ways for disease modification, prevention and treatment, and identification of in vivo biomarkers with specificity for CAA are a vital part of this search. Show less
Kochlik, B.; Herpich, C.; Moreno-Villanueva, M.; Klaus, S.; Müller-Werdan, U.; Weinberger, B.; ... ; Norman, K. 2023
Growth differentiation factor-15 (GDF15) might be involved in the development of cognitive frailty and depression. Therefore, we evaluated cross-sectional associations of plasma GDF15 with... Show moreGrowth differentiation factor-15 (GDF15) might be involved in the development of cognitive frailty and depression. Therefore, we evaluated cross-sectional associations of plasma GDF15 with combined cognitive-frailty-and-depression in older (i.e. ≥ 55 years) and younger adults of the MARK-AGE study. In the present work, samples and data of MARK-AGE (“European study to establish bioMARKers of human AGEing“) participants (N = 2736) were analyzed. Cognitive frailty was determined by the global cognitive functioning score (GCF) and depression by the Self-Rating Depression Scale (SDS score). Adults were classified into three groups: (I) neither-cognitive-frailty-nor-depression, (II) either-cognitive-frailty-or-depression or (III) both-cognitive-frailty-and-depression. Cross-sectional associations were determined by unadjusted and by age, BMI, sex, comorbidities and hsCRP-adjusted linear and logistic regression analyses. Cognitive frailty, depression, age and GDF15 were significantly related within the whole study sample. High GDF15 levels were significantly associated with both-cognitive-frailty-and-depression (adjusted β = 0.177 [0.044 – 0.310], p = 0.009), and with low GCF scores and high SDS scores. High GDF15 concentrations and quartiles were significantly associated with higher odds to have both-cognitive-frailty-and-depression (adjusted odds ratio = 2.353 [1.267 – 4.372], p = 0.007; and adjusted odds ratio = 1.414 [1.025 – 1.951], p = 0.035, respectively) independent of age, BMI, sex, comorbidities and hsCRP. These associations remained significant when evaluating older adults. We conclude that plasma GDF15 concentrations are significantly associated with combined cognitive-frailty-and-depression status and, with cognitive frailty and depressive symptoms separately in old as well as young community-dwelling adults. Show less
BackgroundCentral sensitisation is an important mechanism in migraine chronification. It is presumed to occur in second and third order neurons sequentially, resulting in an analogous spatial... Show moreBackgroundCentral sensitisation is an important mechanism in migraine chronification. It is presumed to occur in second and third order neurons sequentially, resulting in an analogous spatial distribution of cutaneous allodynia with cephalic and extracephalic symptoms. We investigated whether allodynia, and its subtypes based on spatial distribution and type of stimulus, predict response to treatment in chronic migraine patients.MethodsThis study was conducted as part of the CHARM study (NTR3440), a randomized, double-blind, placebo-controlled trial in chronic migraine patients with medication overuse. We included 173 patients. The presence of cutaneous allodynia at baseline was established with the Allodynia Symptom Checklist. Primary endpoint was reversion from chronic to episodic migraine.ResultsOf all patients, 74.6% reported cutaneous allodynia. Absence of allodynia compared to presence of allodynia was predictive for reversion from chronic to episodic migraine, odds ratio (OR): 2.45 (95% CI: 1.03–5.84), p = 0.042. The predictive value was more pronounced when subdivided for spatial distribution, for participants without allodynia versus cephalic (OR: 4.16 (95% CI: 1.21–14.30), p = 0.024) and extracephalic (OR: 7.32 (95% CI: 1.98- 27.11), p = 0.003) allodynia. Mechanical, but not thermal, allodynia, was associated with outcome.ConclusionsCutaneous allodynia, an important marker for central sensitization, likely has predictive value for treatment response in chronic migraine. Show less
Degenerative diseases of the nervous system, such as Alzheimer's, Parkinson's and ALS, are severe, progressive and ultimately fatal. Most existing drugs for these neurodegenerative diseases only... Show moreDegenerative diseases of the nervous system, such as Alzheimer's, Parkinson's and ALS, are severe, progressive and ultimately fatal. Most existing drugs for these neurodegenerative diseases only temporarily relieve symptoms, increase mobility or relieve pain, but do not slow disease progression.This dissertation describes a method to efficiently carry out the development of new drugs that could inhibit disease progression in neurodegenerative diseases. Namely, by using pharmacodynamic biomarkers. These are signaling substances to measure the magnitude of a drug response.These biomarkers can be used in early clinical-pharmacological studies in healthy volunteers or small groups of patients to select the best drug candidates and their expected therapeutic doses as early as possible in the development stage. This helps to make informed choices to advance a potential new drug into large and expensive phase 2 and 3 (registration) studies, or conversely to discontinue development of a non-potential drug as early as possible. This biomarker method was applied in this dissertation to investigate 2 new drugs that could potentially slow disease progression in Alzheimer's and ALS (a RIPK1 inhibitor) or Parkinson's disease (a LRRK2 inhibitor). The research results from multiple early clinical-pharmacological studies in healthy volunteers and patients described in this thesis form the basis for larger phase 2 and 3 follow-up studies that have now been initiated with ALS patients and Parkinson's disease patients. Both with the goal of confirming whether these agents can indeed slow disease progression, which would represent a major breakthrough in the treatment of these conditions. Show less
Sepsis is a life-threatening condition caused by a dysregulated host response to infection, it is associated with significant morbidity, mortality, and with a high financial burden on global... Show moreSepsis is a life-threatening condition caused by a dysregulated host response to infection, it is associated with significant morbidity, mortality, and with a high financial burden on global healthcare systems. Bacterial infections are the primary cause of sepsis, but the growing prevalence of antimicrobial resistance complicates the effectiveness of antimicrobial treatments. Moreover, limited understanding of the host immune response during sepsis hinders the discovery of valuable biomarkers and drug targets. As such, there is an urgent need to improve the treatment of sepsis. To tackle this challenge, we have concentrated our efforts on optimizing current treatment strategies and on facilitating the discovery of novel host inflammatory response directed therapeutics. In this thesis, we have utilized quantitative pharmacological modeling approaches to assess the adequacy of current dose regimens and to evaluate antibiotic pharmacokinetic variability, thereby optimizing antimicrobial therapies for sepsis. Additionally, our researches had aimed to deepen our understanding of the underlying dynamics of sepsis pathology, enabling the identification of promising biomarkers and therapeutic targets for sepsis. Our work demonstrated how quantitative modeling strategies can support the design of optimized treatment strategies, and how systematic model-based integration of disease mechanisms can help to overcome the translational challenges in sepsis drug development. Show less
Background: Fibrous dysplasia/McCune-Albright syndrome (FD/MAS) is a rare genetic bone disease caused by a somatic mutation in the GNAS gene. Currently used bone turnover markers (BTMs) do not... Show moreBackground: Fibrous dysplasia/McCune-Albright syndrome (FD/MAS) is a rare genetic bone disease caused by a somatic mutation in the GNAS gene. Currently used bone turnover markers (BTMs) do not correlate with the clinical picture and are not useful to predict or monitor therapy success. This study assessed the correlation of RANKL, OPG, RANKL/OPG ratio, IL-6 and sclerostin with the classic BTMs alkaline phosphatase (ALP), procollagen type 1 propeptide (P1NP) and beta crosslaps (CTX), with pain, skeletal burden score (SBS) and response to bisphosphonate or denosumab treatment.Methods: Ninety-six serum samples of adult patients >18 years of age with any subtype of FD/MAS were included from the biobank facility of the Leiden University Medical Center, Center for Bone Quality between 2015 and 2021. Standard laboratory assessments were assessed as part of usual care. The concentrations of potential biomarkers RANKL, OPG, sclerostin, IL-6 were analyzed. Data on FD/MAS subtype, age, pain, treatment history and treatment response were retrieved from the electronic patient files. Baseline characteristics were summarized by descriptive statistics. Correlations of the concentrations of the potential biomarkers with classic bone turnover markers, SBS and pain scores were cross-sectionally assessed by Spearman rank order correlation. Correction for multiple testing was performed by Benjamini and Hochberg False Discovery Rate. A sensitivity analyses was performed by excluding patients with SBS below 15 and patients using antiresorptive medication at the time of blood withdrawal or within the wash-out period. In patients treated with bisphosphonates or denosumab after blood withdrawal, pre-treatment concentrations were compared in patients with and without therapy response by Mann Whitney U test.Results: The median age of the patients was 41.2 (Q1-Q3 25.9-52.2) years, 62.5 % was female. Median SBS was 2.5 (Q1-Q3 0.5-7.8). RANKL level correlated weakly with ALP (Spearman rho 0.309, p = 0.004, n = 84), but not with P1NP or CTX. The RANKL/OPG ratio, OPG, IL-6 and sclerostin did not correlate with ALP, P1NP or CTX. None of the potential biomarkers correlated with SBS or pain. Results of the sensitivity analyses were comparable. Pre-treatment biomarker levels were similar in patients with and without improvement in pain scores following bisphosphonate therapy. Pre-treatment RANKL and sclerostin were comparable between patients with and without improvement in pain scores after denosumab therapy. Pre-treatment IL-6 level and the RANKL/OPG ratio seemed to be higher in patients with response to denosumab (IL-6: median 0.64 (Q1-Q3 0.53-0.74) pg/mL, n = 6, RANKL/OPG: median 0.062 (Q1-Q3 0.016-0.331), n = 5) compared to patients without response (IL-6: median 0.35 (0.20-0.54) pg/mL, n = 5, RANKL/OPG: 0.027 (0.024-0.046), n = 4). Pre-treatment IL-6 correlated with the improvement in maximum pain scores (rho 0.962, p < 0.001, n = 9) and average pain scores (rho 0.895, p = 0.001, n = 9) reported during denosumab therapy.Conclusion: Increased concentrations of RANKL, IL-6, sclerostin and of the RANKL/OPG ratio do not indicate severity of FD/MAS, as no correlation was observed of these potential biomarkers with the classic BTMs and SBS. Biomarker levels did not correlate with pain and had no value in predicting bisphosphonate treatment response. These biomarkers are not superior over the currently used methods of assessing ALP, P1NP and CTX or evaluating SBS to establish disease extent or activity and provide no reliable results.Yet, possibly pre-treatment IL-6 and the RANKL/OPG ratio may have some predictive value for clinical response to denosumab. Therefore, studies investigating disease activity and treatment response should include lesional imaging and patient-reported outcome measures. Show less
Ernst, S.M.; Mankor, J.M.; Riet, J. van; Thüsen, J.H. von der; Dubbink, H.J.; Aerts, J.G.J.V.; ... ; Monkhorst, K. 2023
Introduction: Patient-reported smoking history is frequently used as a stratification factor in NSCLC-directed clinical research. Nevertheless, this classification does not fully reflect the... Show moreIntroduction: Patient-reported smoking history is frequently used as a stratification factor in NSCLC-directed clinical research. Nevertheless, this classification does not fully reflect the mutational processes in a tumor. Next-generation sequencing can identify mutational signatures associated with tobacco smoking, such as single-base signature 4 and indel-based signature 3. This provides an opportunity to redefine the classification of smoking-and nonsmoking-associated NSCLC on the basis of individual genomic tumor characteristics and could contribute to reducing the lung cancer stigma.Methods: Whole genome sequencing data and clinical re-cords were obtained from three prospective cohorts of metastatic NSCLC (N = 316). Relative contributions and absolute counts of single-base signature 4 and indel-based signature 3 were combined with relative contributions of age-related signatures to divide the cohort into smoking -associated ("smoking high") and nonsmoking-associated ("smoking low") clusters.Results: The smoking high (n = 169) and smoking low (n = 147) clusters differed considerably in tumor mutational burden, signature contribution, and mutational landscape. This signature-based classification overlapped considerably with smoking history. Yet, 26% of patients with an active smoking history were included in the smoking low cluster, of which 52% harbored an EGFR/ALK/RET/ROS1 alteration, and 4% of patients without smoking history were included in the smoking high cluster. These discordant samples had similar genomic contexts to the rest of their respective cluster. Show less
Background Analysis of muscle biopsies allowed to characterize the pathophysiological changes of Duchenne and Becker muscular dystrophies (D/BMD) leading to the clinical phenotype. Muscle tissue is... Show moreBackground Analysis of muscle biopsies allowed to characterize the pathophysiological changes of Duchenne and Becker muscular dystrophies (D/BMD) leading to the clinical phenotype. Muscle tissue is often investigated during interventional dose finding studies to show in situ proof of concept and pharmacodynamics effect of the tested drug. Less invasive readouts are needed to objectively monitor patients' health status, muscle quality, and response to treatment. The identification of serum biomarkers correlating with clinical function and able to anticipate functional scales is particularly needed for personalized patient management and to support drug development programs.Methods A large-scale proteomic approach was used to identify serum biomarkers describing pathophysiological changes (e.g. loss of muscle mass), association with clinical function, prediction of disease milestones, association with in vivo(31)P magnetic resonance spectroscopy data and dystrophin levels in muscles. Cross-sectional comparisons were performed to compare DMD patients, BMD patients, and healthy controls. A group of DMD patients was followed up for a median of 4.4years to allow monitoring of individual disease trajectories based on yearly visits.Results Cross-sectional comparison enabled to identify 10 proteins discriminating between healthy controls, DMD and BMD patients. Several proteins (285) were able to separate DMD from healthy, while 121 proteins differentiated between BMD and DMD; only 13 proteins separated BMD and healthy individuals. The concentration of specific proteins in serum was significantly associated with patients' performance (e.g. BMP6 serum levels and elbow flexion) or dystrophin levels (e.g. TIMP2) in BMD patients. Analysis of longitudinal trajectories allowed to identify 427 proteins affected over time indicating loss of muscle mass, replacement of muscle by adipose tissue, and cardiac involvement. Over-representation analysis of longitudinal data allowed to highlight proteins that could be used as pharmacodynamic biomarkers for drugs currently in clinical development.Conclusions Serum proteomic analysis allowed to not only discriminate among DMD, BMD, and healthy subjects, but it enabled to detect significant associations with clinical function, dystrophin levels, and disease progression. Show less
Goulooze, S.C.; Krekels, E.H.J.; Dijk, M. van; Tibboel, D.; Graaf, P.H. van der; Hankemeier, T.; ... ; Hasselt, J.G.C. van 2017
Personalized medicine, in modern drug therapy, aims at a tailored drug treatment accounting for inter-individual variations in drug pharmacology to treat individuals effectively and safely. The... Show morePersonalized medicine, in modern drug therapy, aims at a tailored drug treatment accounting for inter-individual variations in drug pharmacology to treat individuals effectively and safely. The inter-individual variability in drug response upon drug administration is caused by the interplay between drug pharmacology and the patients’ (patho)physiological status. Individual variations in (patho)physiological status may result from genetic polymorphisms, environmental factors (including current/past treatments), demographic characteristics, and disease related factors. Identification and quantification of predictors of inter-individual variability in drug pharmacology is necessary to achieve personalized medicine. Here, we highlight the potential of pharmacometabolomics in prospectively informing on the inter-individual differences in drug pharmacology, including both pharmacokinetic (PK) and pharmacodynamic (PD) processes, and thereby guiding drug selection and drug dosing. This review focusses on the pharmacometabolomics studies that have additional value on top of the conventional covariates in predicting drug PK. Additionally, employing pharmacometabolomics to predict drug PD is highlighted, and we suggest not only considering the endogenous metabolites as static variables but to include also drug dose and temporal changes in drug concentration in these studies. Although there are many endogenous metabolite biomarkers identified to predict PK and more often to predict PD, validation of these biomarkers in terms of specificity, sensitivity, reproducibility and clinical relevance is highly important. Furthermore, the application of these identified biomarkers in routine clinical practice deserves notable attention to truly personalize drug treatment in the near future. Show less
During this research project we studied circulating cells in the blood of people with cardiovascular disease, we investigated if these cells could be used as biomarkers for future cardiovascular... Show moreDuring this research project we studied circulating cells in the blood of people with cardiovascular disease, we investigated if these cells could be used as biomarkers for future cardiovascular incidents. We specifically looked at circulating immune cells such as monocytes, T cells and neutrophils. It was shown that both specific subsets of monocytes as well as neutrophils could be used to predict cardiovascular events in patients with cardiovascular disease. Surprisingly it was shown that different cell subsets were predictive for cardiovascular events in men and women. Investigating the difference between men and women further we show that the acute immune response in during cardiovascular disease is different between men and women. While the response in males was skewed towards a monocyte response, in women the acute response was skewed towards a T cell response. The research presented in this thesis shows that our knowledge of the gender specific immune response in cardiovascular disease is limited and further research is necessary. Show less
Part I describes the prognostic effect and interactions of the immune system in breast cancer patients. Part II of the thesis describes the prognostic effect of these prognostic immune parameters... Show morePart I describes the prognostic effect and interactions of the immune system in breast cancer patients. Part II of the thesis describes the prognostic effect of these prognostic immune parameters and biomarkers molecular subtypes and stem cell marker ALDH-1, which are known to be strong breast cancer prognostic factors, in elderly breast cancer patients compared to their younger counterparts. Show less
Ommen, B. van; Greef, J. van der; Ordovas, J.M.; Daniel, H. 2014
The aim of this thesis was to identify novel lifespan regulating loci that influence human longevity and population mortality. To this end, we performed two genome-wide association studies, one of... Show moreThe aim of this thesis was to identify novel lifespan regulating loci that influence human longevity and population mortality. To this end, we performed two genome-wide association studies, one of long-lived individuals from the family-based Leiden Longevity Study (LLS) and an extended one of long-lived individuals from multiple cohorts of European descent. Using the latter, we identified two genome-wide significant loci, the TOMM40/APOE/APOC1 locus and an intergenic locus on chromosome 5q33.3. In addition, our gene set analysis with the LLS data showed that genetic variation in genes involved in the insulin/IGF-1 signaling and telomere maintenance pathways is associated with human longevity. Since our genetic studies identified a limited number of longevity loci, we additionally examined whether leukocyte telomere length (LTL) could be used as a biomarker of healthy aging. We showed that LTL meets three of the four criteria for a biomarker of healthy aging in the LLS, i.e., LTL changes with chronological age and is associated with health, in this case immune-related parameters, and prospective mortality. To identify novel longevity loci, future research may benefit from a better definition of the healthy aging phenotype, combining study designs, and the use of novel methods and technologies, such as next-generation sequencing. Show less
The aims of this thesis were to gain insight into specific disease processes in Huntington__s Disease (HD) and to identify biomarkers. To achieve these aims, cognitive functioning, structural brain... Show moreThe aims of this thesis were to gain insight into specific disease processes in Huntington__s Disease (HD) and to identify biomarkers. To achieve these aims, cognitive functioning, structural brain characteristics and intrinstic functional brain connectivity of premanifest and early HD subjects were examined. Cortical, subcortical and the intermediate white matter brain tissue shows evidence of structural and functional decline. We found evidence that disease processes, such as altered metabolism, excessive iron accumulation and cell loss, play a role in the changes. We conclude that changes occur throughout the brain from the earliest disease phase onwards. Hence, both premanifest and manifest HD should not be regarded as a disorder of the basal ganglia, but as a disease affecting the whole brain. Candidate biomarkers that have the potential to objectively reflect the early changes and the progressive nature of the disease are measures of subcortical atrophy, integrity of white matter pathways and of intrinsic functional brain connectivity. Iron, creatine, and N-acetylaspartate concentrations in the caudate nucleus and putamen may prove to be useful as markers of disease state for objectifying transitional disease processes from premanifest to manifest HD. Visuospatial working memory could be applied as a state marker for stage two HD. Show less
The aim of this thesis was to find potential MRI biomarkers for Huntington__s disease (HD). Therefore, after an overview of the current literature on MRI biomarkers, followed by examinations of... Show moreThe aim of this thesis was to find potential MRI biomarkers for Huntington__s disease (HD). Therefore, after an overview of the current literature on MRI biomarkers, followed by examinations of volumetric MRI, magnetization transfer imaging (MTI), diffusion tensor imaging (DTI) and magnetic resonance spectroscopy (MRS) were applied in patients in different disease stages of HD. The main conclusions demonstrate that choosing the optimal biomarker for evaluating therapeutic effects is dependent on the disease stage and therapeutic compound. To evaluate the premanifest stages of the disease volumetric MRI and DTI are most suitable. When the transition period is the desired timeframe for evaluation, also MRS can be very useful, especially if the compound in question has a direct potential influence on certain pathogenic pathways which in turn have an impact on specific metabolites. Future research should focus on combining multiple imaging techniques; __multimodal imaging__. A composite MRI biomarker has the potential to distinguish between disease groups more accurately than a single biomarker and in this way improve the evaluation of therapeutic compounds. Show less
Wegdam, W.; Moerland, P.D.; Meijer, D.; Jong Shreyas, M. de; Hoefsloot, H.C.J.; Kenter, G.G.; ... ; Aerts, J.M.F.G. 2012
This thesis describes the development of a novel alcohol clamp, a new method to obtain stable plasma levels of alcohol and its application in CNS-research. The method might have several advantages... Show moreThis thesis describes the development of a novel alcohol clamp, a new method to obtain stable plasma levels of alcohol and its application in CNS-research. The method might have several advantages that were explored in subsequent studies described in this thesis. The stability of the alcohol clamp was used to examine functional effect profiles and time-dependence of different CNS-effects. The tests to examine these effects were chosen based upon a prior review of the literature, during which the most sensitive CNS-tests were selected. Hereafter, we studied the alcohol clamping method as a tool to compare alcohol disposition capacities between different (ethnic) populations and as a tool to compare their different CNS-responses to multiple stable alcohol levels. We also investigated whether the clamping method could be useful as a future benchmarking entity in CNS-research, based on its fMRI effects on the brain at rest and its efficacy on tremor symptoms. Finally, we employed the method in an interaction study with a compound that is in development for addictive disorders including alcoholism. This thesis has examined several examples of situations where the alcohol clamp has been a useful research instrument during alcohol research and in early drug development. Show less
