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Auf Grund einer hohen Inzidenz und Mortalität, welche in den nächsten Jahren voraussichtlich eine deutliche Zunahme erfahren wird, stellt die Behandlung eines HCC an alle beteiligten Fächer der Medizin, sowie an den Patienten und die Patientin, eine enorme Herausforderung dar. In der klinischen Routine hat sich die TACE, nicht nur bei Patienten im intermediären Stadium der Erkrankung, etabliert, sodass im Laufe der Erkrankung nahezu jeder zweite Patient mindestens eine TACE-Behandlung bekommt.
Der mit Radiomics betitelte, im medizinischen Bereich relativ junge, Forschungszweig beschäftigt sich mit der Idee, dass in den Schnittbildern eine für das menschliche Auge nicht sichtbare Ebene von Informationen vorliegt, welche mit den richtigen Mitteln extrahiert, relevante Daten und Informationen zur Genetik, Phänotypie und Pathophysiologie des Tumors liefern kann.
Hier greift der Ansatz dieser Arbeit an. In dieser Arbeit wird die Hypothese postuliert, dass durch die Auswertung und Integration von Lipiodolablagerungen in der Zielläsion nach der ersten durchgeführten TACE eine zuverlässigere Prognose zum Therapieansprechen und Gesamtüberleben mit Hilfe von Radiomics möglich ist, als dies klinische Scores alleine erlauben.
Dazu wurde in dieser Arbeit ein Patientenstamm von 61 Patienten untersucht. Alle Patienten litten an einem histologisch gesicherten HCC. Bei allen Patienten wurden innerhalb eines Zeitintervalls von 6 Monaten drei TACE durchgeführt mit einer nachfolgenden Verlaufskontrolle mittels kontrastmittelgestützter MRT oder CT.
In einem dezidierten, mehrstufigen Verfahren wurden aus der nativen 24 Stunden postinterventionellen CT-Kontrolle die Lipiodol anreichernden HCC-Herde segmentiert. Aus diesem segmentierten 3-D Bilddatensatz wurde eine Vielzahl von bildgebenden Biomarkern, Features, extrahiert. Die Features wurden im weiteren Prozess selektiert, redundante und nicht reproduzierbare Features wurden für das weitere Vorgehen verworfen.
Aus den vorliegenden Daten der Patienten wurden Informationen selektiert, mit welchen insgesamt 5 klinische Scores berechnet wurden, diese Scores wurden im weiteren Verfahren ebenfalls als Features angesehen.
Mehrere Machine Learning-Algorithmen wurden mit der Zielvariable: Größenregredienz des Tumors nach TACE als Folge eines annehmbaren Therapieansprechens, angelernt.
Das beste Ergebnis lieferte ein ML-Algorithmus mit einem Random Forrest Klassifikator auf der Grundlage des kombinierten, aus Radiomics-Features und klinischem Score-Features bestehendem Featuresets.
Um die initial aufgestellte Hypothese zu überprüfen wurde die Zielvariable von Größenregredienz der TL auf OS verändert. Die Performance des ML-Algorithmus in Bezug auf die neu definierte Zielvariable OS wurde hierbei mit dem C-index bewertet. Im Test-Set liegt ein C-Index von 0,67 vor. Das kombinierte Modell aus klinischem Score und Radiomics zeigt hierbei eine Überlegenheit gegenüber dem klinischen Score allein (C-Index 0,58) und dem Radiomics score (C-Index 0,60). Dies bestätigt die aufgestellte Hypothese. Das kombinierte Modell hat die Fähigkeit, anhand der Lipiodolanreicherung in der 24 Stunden postinterventionell durchgeführten CT, zur Prädiktion eines Gesamtüberlebens von HCC-Patienten nach einer TACE.
Die Patienten mit der kürzesten und längsten Überlebenszeit innerhalb der Studienpopulation dienten als Grundlage für eine Kaplan-Meier-Schätzung und Berechnung eines Risiko-Scores (siehe Abbildung 37). Dabei zeigt sich eine signifikante Differenz zwischen den Risiko-Scores. Eine Kurve dieser Art könnte zukünftig theoretisch als Schätzung zur Überprüfung der Indikation einer TACE- Wiederholung für einzelne Patienten dienen. Für eine entsprechende Generalisierbarkeit sind weiterführende Studien zur Validierung nötig. Unsere Studie liefert hier erste vielversprechende Hinweise, wobei unsere Limitationen nicht zu vernachlässigen sind, wie im Detail diskutiert.
Zusammenfassend zeigt unsere Arbeit, dass ein von uns definierter kombinierter Score, bestehend aus bildgebenden Biomarkern (Radiomics) und einem klinischen Score (m- HAP-II-Score), eine Prognose zum Gesamtüberleben nach der ersten TACE- Behandlung liefern kann. Mit Hilfe dieses kombinierten Scores war es in unserer Studienkohorte möglich abzuschätzen, ob ein Patient von weiteren TACE-Prozeduren profitieren würde. Der Behandlungsalgorithmus könnte auf dieser Basis individuell angepasst werden.
Der kombinierte Score hätte somit nicht nur das Potenzial Nebenwirkungen zu verhindern und Kosten im System einzusparen, sondern ebenfalls den Patienten potentiell individuell effektiveren Therapiealternativen zuzuführen.
Regulatory required, classical toxicity studies for environmental hazard assessment are costly, time consuming, and often lack mechanistic insights about the toxic mode of action induced through a compound. In addition, classical toxicological non-human animal tests raise serious ethical concerns and are not well suited for high throughput screening approaches. Molecular biomarker-based screenings could be a suitable alternative for identifying particular hazardous effects (e.g. endocrine disruption, developmental neurotoxicity) in non-target organisms at the molecular level. This, however, requires a better mechanistic understanding of different toxic modes of action (MoA) to describe characteristic molecular key events and respective markers.
Ecotoxicgenomics, which uses modern day omic technologies and systems biology approaches to study toxicological responses at the molecular level, are a promising new way for elucidating
the processes through which chemicals cause adverse effects in environmental organisms. In this context, this PhD study was designated to investigate and describe MoA-characteristic
ecotoxicogenomic signatures in three ecotoxicologically important aquatic model organisms of different trophic levels (Danio rerio, Daphnia magna and Lemna minor).
Applying non-target transcriptomic and proteomic methodologies post chemical exposure, the aim was to identify robust functional profiles and reliable biomarker candidates with potential
predictive properties to allow for a differentiation among different MoA in these organisms. For the sublethal exposure studies in the zebrafish embryo model (96 hpf), the acute fish embryo toxicity test guideline (OECD 236) was used as conceptual framework. As different test compounds with known MoA, the thyroid hormone 3,3′,5-triiodothyronine (T3) and the thyrostatic 6-propyl-2-thiouracil (6-PTU), as well as six nerve- and muscle-targeting insecticides (abamectin, carbaryl, chlorpyrifos, fipronil, imidacloprid and methoxychlor) were evaluated. Furthermore, a novel sublethal immune challenge assay in early zebrafish embryos (48 hpf) was evaluated for its potential to assess immuno-suppressive effects at the gene expression level. Therefore, toxicogenomic profiles after an immune response inducing stimulus with and without prior clobetasol propionate (CP) treatment were compared. For the aquatic invertebrate D. magna, the study was performed with previously determined low effect concentrations (EC5 & EC20) of fipronil and imidacloprid according to the acute immobilization test in water flea (OECD 202). The aim was to compare toxicogenomic signatures of the GABA-gated chloride channel blocker (fipronil) and the nAChR agonist (imidacloprid). With similar low effect concentrations, a shortened 3 day version of the growth inhibition test with L. minor (OECD 221) was conducted to find molecular profiles differentiating between photosynthesis and HMG-CoA reductase inhibitory effects. Here, the biological interpretation of the molecular stress response profiles in L. minor due to the lack of functional annotation of the reference genome was particularly challenging. Therefore, an annotation workflow was developed based on protein sequence homology predicted from the genomic reference sequences.
With this PhD work, it was shown how transcriptomic, proteomic and computational systems biology approaches can be coupled with aquatic toxicological tests, to gain important mechanistic insights into adverse effects at the molecular level. In general, for the different investigated adverse effects for the different organisms, biomarker candidates were identified, which describe a potential functional link between impaired gene expressions and previously reported apical effects. For the assessed chemicals in the zebrafish embryo model, biomarker candidates for thyroid disruption as well as developmental toxicity targeting the heart and central nervous system were described. The biomarkers derived from nerve- and muscletargeting insecticides were associated with three major affected processes: (1) cardiac muscle cell development and functioning, (2) oxygen transport and hypoxic stress and (3) neuronal development and plasticity. To our knowledge, this is the first study linking neurotoxic insecticide exposure and affected expression of important regulatory genes for heart muscle (tcap, actc2) and forebrain (npas4a) development in a vertebrate model. The proposed immunosuppression assay found CP to affect innate immune induction by attenuating the response of genes involved in antigen processing, TLR signalling, NF-КB signalling, and complement activation ...
Background: Polytrauma and respiratory tract damage after thoracic trauma cause about 25% of mortality among severely injured patients. Thoracic trauma can lead to the development of severe lung complications such as acute respiratory distress syndrome, and is, therefore, of great interest for monitoring in intensive care units (ICU). In recent years, club cell protein (CC)16 with its antioxidant properties has proven to be a potential outcome-related marker. In this study, we evaluated whether CC16 constitutes as a marker of lung damage in a porcine polytrauma model.
Methods: In a 72 h ICU polytrauma pig model (thoracic trauma, tibial fracture, hemorrhagic shock, liver laceration), blood plasma samples (0, 3, 9, 24, 48, 72 h), BAL samples (72 h) and lung tissue (72 h) were collected. The trauma group (PT) was compared to a sham group. CC16 as a possible biomarker for lung injury in this model, and IL-8 concentrations as known indicator for ongoing inflammation during trauma were determined by ELISA. Histological analysis of ZO-1 and determination of total protein content were used to show barrier disruption and edema formation in lung tissue from the trauma group.
Results: Systemic CC16 levels were significantly increased early after polytrauma compared vs. sham. After 72 h, CC16 concentration was significantly increased in lung tissue as well as in BAL in PT vs. sham. Similarly, IL-8 and total protein content in BAL were significantly increased in PT vs. sham. Evaluation of ZO-1 staining showed significantly lower signal intensity for polytrauma.
Conclusion: The data confirm for the first time in a larger animal polytrauma model that lung damage was indicated by systemic and/or local CC16 response. Thus, early plasma and late BAL CC16 levels might be suitable to be used as markers of lung injury in this polytrauma model.
Background: Polytrauma and respiratory tract damage after thoracic trauma cause about 25% of mortality among severely injured patients. Thoracic trauma can lead to the development of severe lung complications such as acute respiratory distress syndrome, and is, therefore, of great interest for monitoring in intensive care units (ICU). In recent years, club cell protein (CC)16 with its antioxidant properties has proven to be a potential outcome-related marker. In this study, we evaluated whether CC16 constitutes as a marker of lung damage in a porcine polytrauma model.
Methods: In a 72 h ICU polytrauma pig model (thoracic trauma, tibial fracture, hemorrhagic shock, liver laceration), blood plasma samples (0, 3, 9, 24, 48, 72 h), BAL samples (72 h) and lung tissue (72 h) were collected. The trauma group (PT) was compared to a sham group. CC16 as a possible biomarker for lung injury in this model, and IL-8 concentrations as known indicator for ongoing inflammation during trauma were determined by ELISA. Histological analysis of ZO-1 and determination of total protein content were used to show barrier disruption and edema formation in lung tissue from the trauma group.
Results: Systemic CC16 levels were significantly increased early after polytrauma compared vs. sham. After 72 h, CC16 concentration was significantly increased in lung tissue as well as in BAL in PT vs. sham. Similarly, IL-8 and total protein content in BAL were significantly increased in PT vs. sham. Evaluation of ZO-1 staining showed significantly lower signal intensity for polytrauma.
Conclusion: The data confirm for the first time in a larger animal polytrauma model that lung damage was indicated by systemic and/or local CC16 response. Thus, early plasma and late BAL CC16 levels might be suitable to be used as markers of lung injury in this polytrauma model.
Highligths
• Immune-inflammatory alterations might appear in subjects with ADHD.
• Blood levels of tumor necrosis factor-α might be reduced in individuals with ADHD.
• Individuals with ADHD might show elevated blood levels of interleukin-6.
Abstract
It has been observed that subclinical inflammation might be involved in the pathophysiology of attention deficit/hyperactivity disorder (ADHD). However, studies investigating peripheral blood levels of immune-inflammatory markers have provided mixed findings. We performed a systematic review and meta-analysis of studies comparing unstimulated serum or plasma levels of C-reactive protein (CRP) and cytokines in subjects with ADHD and healthy controls (the PROSPERO registration number: CRD 42021276869). Online searches covered the publication period until 30th Sep 2021 and random-effects meta-analyses were carried out. Out of 1844 publication records identified, 10 studies were included. The levels of interleukin (IL)-6 were significantly higher in studies of participants up to the age of 18 years (k = 10, g = 0.70, 95%CI: 0.10–1.30, p = 0.023) and after including those above the age of 18 years (k = 10, g = 0.71, 95%CI: 0.12–1.31, p = 0.019). In turn, the levels of tumor necrosis factor-α (TNF-α) were significantly lower in subjects with ADHD compared to healthy controls (k = 7, g = −0.16, 95%CI: −0.30 - -0.03, p = 0.020). Individual studies had a high contribution to the overall effect, since the overall effect was no longer significant after removing single studies. No significant differences were found with respect to the levels of CRP, IL-1β, IL-10 and interferon-γ. The present findings indicate that individuals with ADHD tend to show elevated levels of IL-6 and reduced levels of TNF-α. Larger and longitudinal studies recording potential confounding factors and comorbid psychopathology are needed to confirm our findings.
Despite all advancements in cancer research and clinical practice, cancer remains a life- threatening disease with an increasing incidence. According to a 2018 WHO forecast, cancer incidence will double to approximately 37 million new cancer cases by 2040. Today, clinical management of cancer is based on a "one-fits-all" strategy. Most cancers are still treated by surgical therapy followed by adjuvant or neoadjuvant chemotherapy based on rather strict guidelines (S3 guidelines in Europe) which are based on studies of large cohorts of patients with the same tumor entity. While this approach has led to substantial increases in progression-free survival and overall patient survival, most patients do not benefit from the administered treatment regimen. One reason for this is intra-tumor heterogeneity, which results from clonal evolution between cancer cells and their environment. This means that cancer patients may respond differently to a particular drug due to the different mutation patterns of their tumor cells. Therefore, patients should be screened in advance for reliable cancer biomarkers that definitively predict whether they will respond to a particular therapy. This would increase the probability of a successful treatment.
Colorectal cancer (CRC) is the third most diagnosed cancer and the second leading cause of cancer deaths worldwide. The main cause of death in CRC is a metastatic disease, which is presented in 20 % of patients and eventually develops in more than 30 % of early-stage patients. Despite the significant increase (to more than 30 months) in median survival with the development of cytotoxic agents and the introduction of targeted therapy, the progression-free survival in the first-line setting has remained largely unchanged over the past decade.
The heterogeneity in CRC is characterized by alterations in multiple signaling pathways that affect cellular functions such as cell proliferation or apoptosis. Commonly affected signaling pathways include the mitogen-activated protein kinase (MAPK)- and the transforming growth factor-β/bone morphogenetic protein (TGF-β/BMP)-pathway. Alterations in the TGF-β/BMP pathway, due to mutations in the SMAD4 gene (mothers against decapentaplegic homolog 4), are associated with different drug response and promote resistance to chemotherapy. In addition, they are associated with a higher recurrence rate.
SMAD4 is one of the most common cancer driver genes, and mutations occur in up to 15 % of CRC cases. Therefore, there is an urgent need for therapeutic agents that can specifically target SMAD4-mutated tumors.
The aim of the present study was the identification of the clinical relevance of the SMAD4 gene and the investigation of its suitability as a potential biomarker in CRC.
For this purpose, I investigated sibling patient-derived organoids (PDOs) derived from different regions of a chemo-naïve CRC tumor. PDOs are 3D cell cultures that reliably recapitulate the architecture of the tissue of origin, as well as preserve the genomic background and intra-tumor heterogeneity. The sibling PDOs (R1R361H and R4wt) shared the most common CRC mutations, such as KRASG12D (kirsten rat sarcoma), PIK3CAH1047R (phosphatidylinositol-4,5-bisphosphate 3-kinase, catalytic subunit alpha), and TP53C242F (tumor protein 53), but differed in a SMAD4R361H mutation and showed a different drug response. The single nucleotide variant R361H of the SMAD4 gene is among the most common pathogenic alterations in various cancers, including CRC.
The sibling PDOs showed significant differences in response to the MEK-inhibitors cobimetinib, trametinib, and selumetinib. MEK-inhibitors are antineoplastic agents that inhibit the function of MEK1 and MEK2, preventing phosphorylation of transcription factors, which leads to inhibition of tumor cell proliferation. MEK-inhibitors are approved for the treatment of malignant melanoma. Currently, they are in phase-III clinical trials for the treatment of patients with metastatic CRC.
To investigate whether SMAD4R361H is responsible for sensitivity to MEK-inhibitors, Iestablished three syngeneic PDOs harboring a SMAD4R361H mutation using the CRISPR/Cas9 genome editing system. All CRISPR-PDOs were significantly more sensitive to the MEK-inhibitors, compared to R4wt. I have shown that the SMAD4R361H mutation is responsible for sensitivity to MEK inhibition in CRC models and may be a predictive biomarker.
To test this hypothesis, I examined 62 CRC PDO models and treated them with the MEK-inhibitors cobimetinib, trametinib, and selumetinib. All models that had a pathogenic mutation or deletion in the SMAD4 gene (15 %) were sensitive to cobimetinib, 10 % of models were sensitive to trametinib, and 8 % were sensitive to selumetinib.
I performed transcriptome (RNA sequencing) and proteome analyses using the DigiWest® method to investigate the mechanism underlying MEK-inhibitor sensitivity.
DigiWest® is a Luminex® bead-based analysis that allows the simultaneous analysis of over 100 (phospho-)proteins. The transcriptome and proteome data support the observation that MEK inhibition primarily affects SMAD4R361H PDOs. Furthermore, I have shown that activation of the BMP signaling pathway in organoids with wild-type SMAD4 appears to be responsible for resistance to MEK-inhibitors. Thus, a genetic alteration in the BMP signaling pathway, beyond SMAD4, could lead to sensitivity to MEK-inhibitors.
I identified four genes involved in the TGF-β/BMP signaling pathway that are frequently mutated in CRC and grouped them into the so-called SFAB-signature (SMAD4, FBXW7 (F-box/WD repeat-containing protein 7), ARID1A (AT-rich interactive domain-containing protein 1A), or BMPR2 (Bone morphogenetic protein receptor type II). Clinical data show that approximately 36 % of CRC patients have at least one pathogenic mutation in these genes.
I tested all 62 CRC PDO models and found a significant positive prediction for sensitivity to cobimetinib (95 %) and selumetinib (70 %) for the SFAB-signature. Trametinib and the newly approved MEK-inhibitor binimetinib showed a similar trend. Therefore, the SFAB-signature has high predictive power for response to MEK-inhibitors and could be used as a predictive biomarker panel.
The current clinically used biomarkers for CRC are based on the mutation status of driver genes KRAS and BRAF, which are present in up to 50 % and 10 % of CRC, respectively. Investigation of molecular alterations in CRC revealed that mutations in the KRAS gene, which is downstream of EGFR (epidermal growth factor receptor) in the MAPK-pathway, interfere with an anti-EGFR-antibody therapy (e.g., cetuximab). Therefore, cetuximab is only relevant for RAS wild-type tumors. However, approximately 40 % of patients with RAS wild-type status do not respond to this treatment.
About 53 % of CRC PDO models carry a pathogenic RAS mutation, about 10 % harbor a pathogenic BRAF mutation. Both, the RAS and RAF status alone as well as the combination of RAS and RAF status with SFAB-signature did not provide a better prediction of sensitivity to MEK inhibition.
Der Biomarker TRACP5b (tartratresistente saure Phosphatase 5b) : ein Marker des Knochenstoffwechsels
(2021)
Die vorliegende Übersicht zum Biomarker TRACP5b wird im Rahmen der Serie „Tumormarker“ des Zentralblatts für Arbeitsmedizin, Arbeitsschutz und Ergonomie publiziert, die sich mit dem immer häufigeren Gebrauch der Bestimmung von spezifischen Markern bei sog. Manager-Vorsorgen und Check-up-Untersuchungen beschäftigt. TRACP5b eignet sich grundsätzlich nicht für solche Vorsorgen, sondern ist ein Marker zur Therapie‑, Verlaufs- und Rezidivkontrolle von Osteoporose und der ossären Metastasen. Hier zeigt dieser eine hohe Sensitivität und Spezifität, wobei der Marker aber auf keinen Fall als Screeningparameter zur Frühdiagnostik eingesetzt werden soll.
Ataxia telangiectasia (A-T) is a progressive and life-limiting disease associated with cerebellar ataxia due to progressive cerebellar degeneration. In addition to ataxia, which is described in detail, the presence of chorea, dystonia, oculomotor apraxia, athetosis, parkinsonism, and myoclonia are typical manifestations of the disease. The study aimed to evaluate the specificity and sensitivity of neurofilament light chain (NfL) as a biomarker of neurodegeneration in relation to SARA score. In this prospective trial, one visit of 42 A-T patients aged 1.3–25.6 years (mean 11.6 ± 7.3 years) was performed, in which NfL was determined from serum by ELISA. Additionally, a neurological examination of the patients was performed. Blood was collected from 19 healthy volunteers ≥ 12 years of age. We found significantly increased levels of NfL in patients with A-T compared to healthy controls (21.5 ± 3.6 pg/mL vs. 9.3 ± 0.49 pg/mL, p ≤ 0.01). There was a significant correlation of NfL with age, AFP, and SARA. NfL is a new potential progression biomarker in blood for neurodegeneration in A-T which increases with age.
Purpose: To develop and validate a CT-based radiomics signature for the prognosis of loco-regional tumour control (LRC) in patients with locally advanced head and neck squamous cell carcinoma (HNSCC) treated by primary radiochemotherapy (RCTx) based on retrospective data from 6 partner sites of the German Cancer Consortium - Radiation Oncology Group (DKTK-ROG).
Material and methods: Pre-treatment CT images of 318 patients with locally advanced HNSCC were collected. Four-hundred forty-six features were extracted from each primary tumour volume and then filtered through stability analysis and clustering. First, a baseline signature was developed from demographic and tumour-associated clinical parameters. This signature was then supplemented by CT imaging features. A final signature was derived using repeated 3-fold cross-validation on the discovery cohort. Performance in external validation was assessed by the concordance index (C-Index). Furthermore, calibration and patient stratification in groups with low and high risk for loco-regional recurrence were analysed.
Results: For the clinical baseline signature, only the primary tumour volume was selected. The final signature combined the tumour volume with two independent radiomics features. It achieved moderately good discriminatory performance (C-Index [95% confidence interval]: 0.66 [0.55–0.75]) on the validation cohort along with significant patient stratification (p = 0.005) and good calibration.
Conclusion: We identified and validated a clinical-radiomics signature for LRC of locally advanced HNSCC using a multi-centric retrospective dataset. Prospective validation will be performed on the primary cohort of the HNprädBio trial of the DKTK-ROG once follow-up is completed.
Background: Hemorrhagic shock can lead to intestinal damage with subsequent hyperinflammation and multiple organ dysfunction syndrome (MODS). The intestinal fatty acid-binding protein (I-FABP) is solely expressed in the intestine and is released extracellulary after tissue damage. This study evaluates the validity of I-FABP as an early biomarker to detect hemorrhagic shock and abdominal injury.
Patients and methods: Severely injured patients with an Injury Severity Score (ISS) ≥ 16 points and an age ≥ 18 years, admitted from January 2010 to December 2016, were included. Overall, 26 patients retrospectively presented with hemorrhagic shock to the emergency room (ER): 8 patients without abdominal injury ("HS noAbd") and 18 patients with abdominal injury ("HS Abd"). Furthermore, 16 severely injured patients without hemorrhagic shock and without abdominal injury ("noHS noAbd") were retrospectively selected as controls. Plasma I-FABP levels were measured at admission to the ER and up to 3 days posttraumatic (d1-d3).
Results: Median I-FABP levels were significantly higher in the "HS Abd" group compared with the "HS noAbd" group (28,637.0 pg/ml [IQR = 6372.4-55,550.0] vs. 7292.3 pg/ml [IQR = 1282.5-11,159.5], p < 0.05). Furthermore, I-FABP levels of both hemorrhagic shock groups were significantly higher compared with the "noHS noAbd" group (844.4 pg/ml [IQR = 530.0-1432.9], p < 0.05). The time course of I-FABP levels showed a peak on the day of admission with a subsequent decline in the post-traumatic course. Furthermore, significant correlations between I-FABP levels and clinical parameters of hemorrhagic shock, such as hemoglobin, lactate value, systolic blood pressure (SBP), and shock index, were found.The optimal cut-off level of I-FABP for detection of hemorrhagic shock was 1761.9 pg/ml with a sensitivity of 85% and a specificity of 81%.
Conclusion: This study confirmed our previous observation that I-FABP might be used as a suitable early biomarker for the detection of abdominal injuries in general. In addition, I-FABP may also be a useful and a promising parameter in the diagnosis of hemorrhagic shock, because of reflecting low intestinal perfusion.
Background: Uveal melanoma (UM) is highly refractory to treatment with dismal prognosis in advanced stages. The value of the combined checkpoint blockade with CTLA-4 and PD-1 inhibition in metastatic UM is currently unclear.
Methods: Patients with metastatic or unresectable UM treated with ipilimumab in combination with a PD-1 inhibitor were collected from 16 German skin cancer centers. Patient records of 64 cases were analyzed for response, progression-free survival (PFS), overall survival (OS), and safety. Clinical parameters and serum biomarkers associated with OS and treatment response were determined with Cox regression modelling and logistic regression.
Results: The best overall response rate to combined checkpoint blockade was 15.6% with 3.1 and 12.5% complete and partial response, respectively. The median duration of response was 25.5 months (range 9.0–65.0). Stable disease was achieved in 21.9%, resulting in a disease control rate of 37.5% with a median duration of the clinical benefit of 28.0 months (range 7.0–65.0). The median PFS was 3.0 months (95% CI 2.4–3.6). The median OS was estimated to 16.1 months (95% CI 12.9–19.3). Regarding safety, 39.1% of treated patients experienced a severe, treatment-related adverse event according to the CTCAE criteria (grade 3: 37.5%; grade 4: 1.6%). The most common toxicities were colitis (20.3%), hepatitis (20.3%), thyreoiditis (15.6%), and hypophysitis (7.8%). A poor ECOG performance status was an independent risk factor for decreased OS (p = 0.007).
Conclusions: The tolerability of the combined checkpoint blockade in UM may possibly be better than in trials on cutaneous melanoma. This study implies that combined checkpoint blockade represents the hitherto most effective treatment option available for metastatic UM available outside of clinical trials.
Cardiovascular disease remains a leading cause of morbidity and mortality globally. Changing natural history of the disease due to improved care of acute conditions and ageing population necessitates new strategies to tackle conditions which have more chronic and indolent course. These include an increased deployment of safe screening methods, life-long surveillance, and monitoring of both disease activity and tailored-treatment, by way of increasingly personalized medical care. Cardiovascular magnetic resonance (CMR) is a non-invasive, ionising radiation-free method, which can support a significant number of clinically relevant measurements and offers new opportunities to advance the state of art of diagnosis, prognosis and treatment. The objective of the SCMR Clinical Trial Taskforce was to summarizes the evidence to emphasize where currently CMR-guided clinical care can indeed translate into meaningful use and efficient deployment of resources results in meaningful and efficient use. The objective of the present initiative was to provide an appraisal of evidence on analytical validation, including the accuracy and precision, and clinical qualification of parameters in disease context, clarifying the strengths and weaknesses of the state of art, as well as the gaps in the current evidence This paper is complementary to the existing position papers on standardized acquisition and post-processing ensuring robustness and transferability for widespread use. Themed imaging-endpoint guidance on trial design to support drug-discovery or change in clinical practice (part II), will be presented in a follow-up paper in due course. As CMR continues to undergo rapid development, regular updates of the present recommendations are foreseen.
Akt and mTORC1 signaling as predictive biomarkers for the EGFR antibody nimotuzumab in glioblastoma
(2018)
Glioblastoma (GB) is the most frequent primary brain tumor in adults with a dismal prognosis despite aggressive treatment including surgical resection, radiotherapy and chemotherapy with the alkylating agent temozolomide. Thus far, the successful implementation of the concept of targeted therapy where a drug targets a selective alteration in cancer cells was mainly limited to model diseases with identified genetic drivers. One of the most commonly altered oncogenic drivers of GB and therefore plausible therapeutic target is the epidermal growth factor receptor (EGFR). Trials targeting this signaling cascade, however, have been negative, including the phase III OSAG 101-BSA-05 trial. This highlights the need for further patient selection to identify subgroups of GB with true EGFR-dependency. In this retrospective analysis of treatment-naïve samples of the OSAG 101-BSA-05 trial cohort, we identify the EGFR signaling activity markers phosphorylated PRAS40 and phosphorylated ribosomal protein S6 as predictive markers for treatment efficacy of the EGFR-blocking antibody nimotuzumab in MGMT promoter unmethylated GBs. Considering the total trial population irrespective of MGMT status, a clear trend towards a survival benefit from nimotuzumab was already detectable when tumors had above median levels of phosphorylated ribosomal protein S6. These results could constitute a basis for further investigations of nimotuzumab or other EGFR- and downstream signaling inhibitors in selected patient cohorts using the reported criteria as candidate predictive biomarkers.
Danger signals in trauma
(2018)
This review summarizes a short list of currently discussed trauma-induced danger-associated molecular patterns (DAMP). Due to the bivalent character and often pleiotropic effects of a DAMP, it is difficult to describe its “friend or foe” role in post-traumatic inflammation and regeneration, both systemically as well locally in tissues. DAMP can be used as biomarkers to indicate or monitor disease or injury severity, but also may serve as clinically applicable parameters for better indication and timing of surgery. Due to the inflammatory processes at the local tissue level or the systemic level, the precise role of DAMP is not always clear to define. While in vitro and experimental studies allow for the detection of these biomarkers at the different levels of an organism—cellular, tissue, circulation—this is not always easily transferable to the human setting. Increased knowledge exploring the dual role of DAMP after trauma, and concentrating on their nuclear functions, transcriptional targets, release mechanisms, cellular sources, multiple functions, their interactions and potential therapeutic targeting is warranted.
Comparative proteomics reveals a diagnostic signature for pulmonary head‐and‐neck cancer metastasis
(2018)
Patients with head‐and‐neck cancer can develop both lung metastasis and primary lung cancer during the course of their disease. Despite the clinical importance of discrimination, reliable diagnostic biomarkers are still lacking. Here, we have characterised a cohort of squamous cell lung (SQCLC) and head‐and‐neck (HNSCC) carcinomas by quantitative proteomics. In a training cohort, we quantified 4,957 proteins in 44 SQCLC and 30 HNSCC tumours. A total of 518 proteins were found to be differentially expressed between SQCLC and HNSCC, and some of these were identified as genetic dependencies in either of the two tumour types. Using supervised machine learning, we inferred a proteomic signature for the classification of squamous cell carcinomas as either SQCLC or HNSCC, with diagnostic accuracies of 90.5% and 86.8% in cross‐ and independent validations, respectively. Furthermore, application of this signature to a cohort of pulmonary squamous cell carcinomas of unknown origin leads to a significant prognostic separation. This study not only provides a diagnostic proteomic signature for classification of secondary lung tumours in HNSCC patients, but also represents a proteomic resource for HNSCC and SQCLC.
SDF-1/CXCR4 expression in head and neck cancer and outcome after postoperative radiochemotherapy
(2017)
Introduction: Outcome after postoperative radiochemotherapy (RT-CT) for patients with advanced head and neck squamous cell carcinomas (HNSCC) remains unsatisfactory, especially among those with HPV negative tumours. Therefore, new biomarkers are needed to further define subgroups for individualised therapeutic approaches. Preclinical and first clinical observations showed that the chemokine receptor CXCR4 and its ligand SDF-1 (CXCL12) play an important role in tumour cell proliferation, survival, cancer progression, metastasis and treatment resistance. However, the data on the prognostic value of SDF-1/CXCR4 expression for HNSCC are conflicting. The aim of our hypothesis-generating study was to retrospectively explore the prognostic potential of SDF-1/CXCR4 in a well-defined cohort of HNSCC patients collected within the multicenter biomarker study of the German Cancer Consortium Radiation Oncology Group (DKTK-ROG).
Material and methods: Patients with stage III and IVA HNSCC of the oral cavity, oropharynx and hypopharynx were treated with resection and adjuvant radiotherapy (RT) with ≥60 Gy and concurrent cisplatin-based chemotherapy (CT). Tissue micro-arrays (TMAs) from a total of 221 patients were generated from surgical specimens, 201 evaluated for the SDF-1 and CXCR4 expression by immunofluorescence and correlated with clinico-pathological and outcome data.
Results: In univariate and multivariate analyses intracellular SDF-1 expression was associated with lower loco-regional control (LRC) in the entire patient group as well as in the HPV16 DNA negative subgroup. CXCR4 expression showed a trend for lower LRC in the univariate analysis which was not confirmed in the multivariate analysis. Neither for SDF-1 nor CXCR4 expression associations with distant metastasis free or overall survival were found.
Conclusions: Our exploratory data support the hypothesis that overexpression of intracellular SDF-1 is an independent negative prognostic biomarker for LRC after postoperative RT-CT in high-risk HNSCC. Prospective validation is warranted and further exploration of SDF-1/CXCR4 as a potential therapeutic target to overcome treatment resistance in HNSCC appears promising.
Background: Recognizing patients at risk for pulmonary complications (PC) is of high clinical relevance. Migration of polymorphonuclear leukocytes (PMN) to inflammatory sites plays an important role in PC, and is tightly regulated by specific chemokines including interleukin (IL)−8 and other mediators such as leukotriene (LT)B4. Previously, we have reported that LTB4 indicated early patients at risk for PC after trauma. Here, the relevance of LTB4 to indicating lung integrity in a newly established long-term porcine severe trauma model (polytrauma, PT) was explored.
Methods: mTwelve pigs (3 months old, 30 ± 5 kg) underwent PT including standardized femur fracture, lung contusion, liver laceration, hemorrhagic shock, subsequent resuscitation and surgical fracture fixation. Six animals served as controls (sham). After 72 h lung damage and inflammatory changes were assessed. LTB4 was determined in plasma before the experiment, immediately after trauma, and after 2, 4, 24 or 72 h. Bronchoalveolar lavage (BAL)-fluid was collected prior and after the experiment.
Results: Lung injury, local gene expression of IL-8, IL-1β, IL-10, IL-18 and PMN-infiltration into lungs increased significantly in PT compared with sham. Systemic LTB4 increased markedly in both groups 4 h after trauma. Compared with declined plasma LTB4 levels in sham, LTB4 increased further in PT after 72 h. Similar increase was observed in BAL-fluid after PT.
Conclusions: In a severe trauma model, sustained changes in terms of lung injury and inflammation are determined at day 3 post-trauma. Specifically, increased LTB4 in this porcine long-term model indicated a rapid inflammatory alteration both locally and systemically. The results support the concept of LTB4 as a biomarker for PC after severe trauma and lung contusion.
Background: Measurement of prostate-specific antigen (PSA) advanced the diagnostic and prognostic potential for prostate cancer (PCa). However, due to PSA’s lack of specificity, novel biomarkers are needed to improve risk assessment and ensure optimal personalized therapy. A set of protein molecules as potential biomarkers was therefore evaluated in serum of PCa patients.
Methods: Serum samples from patients undergoing radical prostatectomy (RPE) for biopsy-proven PCa without neoadjuvant treatment were compared to serum samples from healthy subjects. Preliminary screening of 119 proteins in 10 PCa patients and 10 controls was carried out by the Proteome Profiler Antibody Array. Those markers showing distinct differences between patients and controls were then further evaluated by ELISA in the serum of 165 PCa patients and 19 controls. Uni- and multivariate as well as correlation analysis were performed to test the capability of these molecules to detect disease and predict pathological outcome.
Results: Screening showed that soluble (s)E-cadherin, E-selectin, MMP2, MMP9, TIMP1, TIMP2, Galectin and Clusterin warranted further evaluation. sE-Cadherin, TIMP1, Galectin and Clusterin were significantly over- and MMP9 under-expressed in PCa compared to controls. The concentration of sE-cadherin, MMP2 and Clusterin correlated negatively and that of MMP9 and TIMP1 positively with the Gleason Sum at prostatectomy. Only sE-cadherin significantly correlated with the highest Gleason pattern. Compared to serum PSA, sE-cadherin provided an independent and better matching predictive ability for discriminating PCas with an upgrade at RPE and aggressive tumors with a Gleason Sum ≥7.
Conclusions: sE-cadherin performed most favorably from a large panel of serum proteins in terms of diagnostic and predictive potential in curatively treatable PCa. sE-cadherin merits further investigation as a biomarker for PCa.
Highlights
• A panel of 20 biomarkers was identified capable of differentiating BD patients from controls.
• Excellent discrimination between established BD patients and controls.
• Good to excellent discrimination between misdiagnosed BD patients and first onset MDD patients.
• Fair to good discrimination between pre-diagnostic BD patients and controls.
• Study demonstrates the potential utility of a protein biomarker panel as a diagnostic test for BD.
Abstract
Background: Bipolar disorder (BD) is a costly, devastating and life shortening mental disorder that is often misdiagnosed, especially on initial presentation. Misdiagnosis frequently results in ineffective treatment. We investigated the utility of a biomarker panel as a diagnostic test for BD.
Methods and findings: We performed a meta-analysis of eight case-control studies to define a diagnostic biomarker panel for BD. After validating the panel on established BD patients, we applied it to undiagnosed BD patients. We analysed 249 BD, 122 pre-diagnostic BD, 75 pre-diagnostic schizophrenia and 90 first onset major depression disorder (MDD) patients and 371 controls. The biomarker panel was identified using ten-fold cross-validation with lasso regression applied to the 87 analytes available across the meta-analysis studies.
We identified 20 protein analytes with excellent predictive performance [area under the curve (AUC) ⩾ 0.90]. Importantly, the panel had a good predictive performance (AUC 0.84) to differentiate 12 misdiagnosed BD patients from 90 first onset MDD patients, and a fair to good predictive performance (AUC 0.79) to differentiate between 110 pre-diagnostic BD patients and 184 controls. We also demonstrated the disease specificity of the panel.
Conclusions: An early and accurate diagnosis has the potential to delay or even prevent the onset of BD. This study demonstrates the potential utility of a biomarker panel as a diagnostic test for BD.
Myotonic dystrophy type 1 (DM1) lacks non-invasive and easy to measure biomarkers, still largely relying on semi-quantitative tests for diagnostic and prognostic purposes. Muscle biopsies provide valuable data, but their use is limited by their invasiveness. microRNA (miRNAs) are small non-coding RNAs regulating gene expression that are also present in biological fluids and may serve as diseases biomarkers. Thus, we tested plasma miRNAs in the blood of 36 DM1 patients and 36 controls. First, a wide miRNA panel was profiled in a patient subset, followed by validation using all recruited subjects. We identified a signature of nine deregulated miRNAs in DM1 patients: eight miRNAs were increased (miR-133a, miR-193b, miR-191, miR-140-3p, miR-454, miR-574, miR-885-5p, miR-886-3p) and one (miR-27b) was decreased. Next, the levels of these miRNAs were used to calculate a "DM1-miRNAs score". We found that both miR-133a levels and DM1-miRNAs score discriminated DM1 from controls significantly and Receiver-Operator Characteristic curves displayed an area under the curve of 0.94 and 0.97, respectively. Interestingly, both miR-133a levels and DM1-miRNAs score displayed an inverse correlation with skeletal muscle strength and displayed higher values in more compromised patients. In conclusion, we identified a characteristic plasma miRNA signature of DM1. Although preliminary, this study indicates miRNAs as potential DM1 humoral biomarkers.
Die heutige moderne Toxikologie ist dem 3-R-Prinzip (Russel und Burch, 1959), einem Konzept zur Verminderung und Verkürzung von Tierversuchen, verpflichtet. Allerdings stellt insbesondere die für die Zulassung und Registrierung neuer Arzneistoffe oder Chemikalien behördlich geforderte Prüfung von Substanzen auf kanzerogene Eigenschaften immer noch einen langwierigen Prozess mit einem hohen Bedarf an Versuchstieren dar. Daher sollte unter dem Einsatz von Methoden der Proteomforschung eine Identifizierung und Charakterisierung neuer Protein-Biomarker erfolgen, die eine verbesserte Vorhersage von Prozessen der chemisch induzierten Leberkanzerogenese erlauben. Motivation für diese Arbeiten war die Annahme, dass durch chemische Substanzen angestoßene molekulare Prozesse mit proteinanalytischen Methoden früher detektierbar sind als dies mit konventionellen toxikologischen Methoden möglich ist, welche vor allem die Prüfung von Substanzen im Tierversuch mit anschließender histopathologischer und klinisch-biochemischer Bewertung der toxischen Effekte vorsehen. Die Untersuchungen sollten Aufschluss darüber geben, ob Proteomstudien die traditionelle Toxikologie mit einer verbesserten, insbesondere verkürzten Erkennung und Aufklärung toxischer Wirkmechanismen unterstützen können. In der Zukunft würde dies eine signifikante Verkürzung und Verbesserung von Tierversuchen bedingen, verbunden mit einer Verringerung der Anzahl an Versuchstieren und letztlich einer Einsparung von Kosten und Zeit. N-Nitrosomorpholin (NNM), ein bekanntes Leberkanzerogen, diente als Modellsubstanz zur Abbildung des Kanzerogeneseprozesses. Zur Induktion von Lebertumoren sowie frühen präneoplastischen Veränderungen wurden Ratten in zwei Tierstudien über definierte Zeiträume mit zwei unterschiedlichen Dosierungen NNM behandelt. Das nach verschiedenen Behandlungszeitpunkten gewonnene Lebergewebe diente als Ausgangsmaterial für die nachfolgenden proteomischen Analysen. Dazu kam vor allem die zweidimensionale Gelelektrophorese (2-DE) zum Einsatz, gefolgt von MALDI-Massenspektrometrie (MS) zur Identifizierung differentiell exprimierter Proteine. Ausserdem wurden aus den Leberproteinextrakten unter Einsatz der SELDI (Surface Enhanced Laser Desorption and Ionisation)-Technologie Proteinprofile erstellt und für die verschiedenen durch NNM-Behandlung aufgetretenen Leberveränderungen charakteristische Signalmuster ermittelt. Das Potential der iTRAQ-Technologie, einer MS-basierten Quantifizierungsstrategie wurde in einem weitergehenden Schritt ermittelt. Mittels 2-DE/MS-Analyse konnten einerseits Proteine identifiziert werden, deren vermehrte Expression die nach einem Tag der Behandlung mit NNM ausgelösten akut toxischen Effekte der Chemikalie in der Leber reflektierten. Andererseits lieferte die Analyse von Proben, in denen nach 25 Wochen Lebertumore diagnostiziert wurden, differentiell exprimierte Proteine, die als Tumor-spezifische Markerproteine charakterisiert werden konnten. Im Hinblick auf das vorrangige Ziel der Arbeit, neue Biomarker zu identifizieren, die schon zu einem frühen Zeitpunkt des Tierversuchs bereits einsetzende kanzerogene Prozesse aufzeigen und damit in der Zukunft einen Beitrag leisten könnten, konventionelle toxikologische Prüfmethoden zu unterstützen oder gar zu verkürzen, erfolgte eine Fokussierung der Analyse auf Proben von Tieren, die drei Wochen lang mit NNM behandelt wurden. Bereits zu diesem Zeitpunkt wurden Proteine detektiert, deren Deregulation mit frühen Prozessen der Leberkanzerogenese in Einklang gebracht werden konnte. Vor allem 18 Proteine, die sich in den Proben nach drei Wochen der NNM-Behandlung wie auch in dem Gewebe von Tieren mit Tumoren als dereguliert erwiesen, wurden als potentielle frühe Biomarker mit einem enormen Potential zur verbesserten Vorhersage von Leberkanzerogenese charakterisiert. Um die durch 2-DE/MS-Analyse ermittelten potentiellen frühen Biomarker in ihrem detektierten Regulationsmuster zu bestätigen und damit das Vertrauen in die 2-DE/MS-Ergebnisse zu erhöhen, erfolgte eine Prävalidierung der Markerproteine mit unabhängigen Methoden. Hierfür wurde der immunologische Nachweis der Proteine in Form des Western Blottings sowie eine MS-basierte Quantifizierung unter Anwendung der iTRAQ-Technik herangezogen. Des Weiteren eröffnete die Integration der Arbeit in ein Verbundprojekt die Möglichkeit zum Vergleich der Proteinexpressionsdaten mit den Ergebnissen der globalen Genexpressionsanalyse, die bei einem Projektpartner durchgeführt wurde. Während durch Western Blotting nur wenige der 18 potentiellen frühen 2-DE/MS-Biomarker in ihrer nach drei Wochen Behandlung beobachteten Regulation bestätigt werden konnten, wurden durch Einsatz der iTRAQ-Technik 11 der Biomarker verifiziert und damit der Wert dieser Quantifizierungsstrategie für den Ansatz der Prävalidierung unterstrichen. Der Abgleich mit den Genexpressionsdaten legte für 63% der Proteine eine übereinstimmende Deregulation auf Genniveau offen. Insgesamt wurden 13 der 18 potentiellen frühen 2-DE/MS-Biomarker durch mindestens eine weitere unabhängige Technologie in ihrer im 2-DE-Gel beobachteten Expressionsveränderung bestätigt. Zusammenfassend lieferte die 2-DE/MS-Analyse des durch NNM veränderten Lebergewebes zahlreiche Protein-Biomarker, die auf molekularer Ebene sowohl frühe als auch späte Stadien der Leberkanzerogenese reflektieren. Vor allem die charakterisierten potentiellen frühen Biomarkern weisen ein signifikantes Potential auf, in der Zukunft konventionelle toxikologische Prüfsysteme zu unterstützen und möglicherweise einen Beitrag zur Verkürzung von Tierstudien und damit zur Einsparung von Versuchstieren zu leisten. Durch Prävalidierung der meisten der frühen Markerproteine durch unabhängige Methoden wurde dieses Potential als auch der Wert von Methoden der Proteomforschung zur allgemeinen Unterstützung der prädiktiven Toxikologie noch einmal unterstrichen.
The biomarker record in two different lakes in central Europe, Lake Albano and Lake Constance, is used to reflect environmental changes and lake system response during the Late Glacial and Holocene. Extractable organic compounds in lake sediments, which can be assigned to their biological source (biomarkers) function as fingerprints of past aquatic or land plant organisms. Using gas chromatography coupled with mass spectrometry, 21 different biomarkers (predominantly steroids and triterpenoids) as well as a variety of n-alkanes, nalkanols, and n-alkanoic acids could be identified in the sediment records of Lake Albano and Lake Constance. In the Holocene sediments of Lake Albano, the distribution of biomarkers such as dinosterol (dinoflagellates), isoarborinol, and diplopterol (aquatic organisms) indicate three biomarker zones: The period between 0-3,800 years BP (zone 3) is characterized by high concentrations of these biomarkers and others such as tetrahymanol and diploptene. Conversely, zone 2 (3,800-6,500 years BP) shows very low concentrations of all autochthonous biomarkers. In zone 1 (6,500–11,480 years BP), dinosterol, isoarborinol, and diplopterol range on a relatively high level, whereas diploptene and tetrahymanol display comparatively low concentrations. The results suggest at least two distinct changes in the predominance of primary producers during the Holocene, which are related to changes in the lake system such as lake mixing and water column stratification. This interpretation is consistent with previous investigations of Lake Albano sediments including pigment and hydrogen index data (Ariztegui et al., 1996b; Guilizzoni et al., 2002). Allochthonous biomarkers such as long-chain n-alkanes, amyrenones and friedelin indicate a development from forest to a more open landscape from 6,000 and 5.000 years BP, respectively. After a period of high concentrations during the first half of the Holocene, all biomarkers derived from deciduous trees exhibit relatively low values until around 1,000 years BP. Again, this is consistent with results from previous pollen investigations (Ariztegui et al., 2000). The sediment core from Upper Lake Constance comprises the Late Glacial and Holocene. It was analysed for biomarkers and inorganic tracers in order to compare the biomarker results with other proxy data from the same core. Magnetic susceptibility (MS) was measured to get a high-resolution stratigraphic framework of the core and to obtain further information about changes of the proportions of allochthonous and autochthonous input. Enhanced concentrations and accumulation rates of dinosterol (biomarker for dinoflagellates) and biogenic calcite give evidence of increasing lake productivity at the beginning of the Holocene followed by a decrease in bioproductivity after around 7,000 years BP. Younger Dryas sediments are characterized by low amounts of both dinosterol and biogenic calcite indicating a low productivity. The comparison of the concentrations and accumulation rates of b-sitosterol and stigmastanol with parameters reflecting lake productivity suggests that both steroids in Lake Constance sediments are mainly derived from terrigenous sources. Biomarkers as well as concentrations and accumulation rates of allochthonous inorganic compounds such as titanium, magnesium and strontium indicate a slightly enhanced allochthonous input after 8,500 years BP. Significant increase of erosive matter input from enhanced soil erosion is not observed before 4,000 years BP. This can be attributed to the combined effects of precipitation increase as a result of climatic deterioration and anthropogenic deforestation which is consistent with observations from other lakes in Central Europe. The MS record of Lake Constance confirms these results by tracing the climatically induced shifts of more intense bioproduction (low MS caused by increased calcite deposition) during the ‘climatic optimum’. This is followed by increasing input of terrigenous sediment compounds during colder and wetter periods which lead to higher MS values in the lake sediments. The occurrence of tetrahymanol in Lake Constance sediments questions the unambiguous use of tetrahymanol as an indicator for water column stratification. Anaerobic organic macroaggregates within the oxygenated, photic zone of the water column have to be considered as a possible living space for anaerobic microorganisms containing tetrahymanol. The direct comparison of two very different lakes Albano and Constance with respect to biomarkers indicating climate or environmental change provides a contribution to the recent biomarker research for a better understanding of biomarkers in lacustrine sediments.
Paläobotanische Untersuchungen an Euramerischen Kohlenbecken haben an der Westfal/Stefan-Grenze in früheren Arbeiten einen deutlichen, weitgehend klimatisch gesteuerten Florenwechsel erkennen lassen. Desweiteren wurden in Kohlen aus dem Saar/Nahe-Becken beginnend mit dem obersten Westfal D erstmals Diageneseprodukte von Isoarborinol bzw. Fernen/Fernenol nachgewiesen, für die Koniferen, Cordaiten oder Farnsamer als mögliche Bioproduzenten vorgeschlagen wurden. Im Rahmen der vorliegenden Arbeit konnten die Arboran-/Fernanderivate MAPH, MATH, DAPH 1 und DAPH 2 in den Gesamtextrakten von Kohlen und Sedimenten aus dem Stefan des Saar/Nahe-Beckens durchgängig identifiziert werden, während die Verbindungen im Westfal lediglich in Proben aus dem obersten Westfal D auftraten. Folglich sind die Arboran-/Fernanderivate tatsächlich in besonderem Maße dazu geeignet, den Florenwechsel an der Westfal/Stefan-Grenze auf molekularer Basis zu beschreiben. Um einzugrenzen, zu welcher Pflanzengruppe die Bioproduzenten der Ausgangsverbindungen der Arboran-/Fernanderivate gehören, wurden isolierte Makrofossilien verschiedener Pflanzengruppen aus verschiedenen Euramerischen Kohlenbecken organisch-geochemisch analysiert. Dabei konnten MATH, MAPH, DAPH 1 und DAPH 2 in nahezu allen Gesamtextrakten fossiler Cordaiten-Reste identifiziert werden. In den Extrakten von Sediment-Vergleichsproben, die in unmittelbarer Nähe der Cordaiten-Reste entnommen wurden, konnten die Verbindungen dagegen nicht bzw. nur in vergleichsweise geringen Konzentrationen identifiziert werden. Ebenso waren die Arboran-/Fernanderivate in den Gesamtextrakten fossiler Koniferen-Reste sowie in den Extrakten verschiedener Farnsamerarten (Alethopteris, Dicroidium, Lescuropteris, Macroneuropteris, Neuropteris) nicht enthalten. Lediglich in der extrahierbaren organischen Substanz einiger fossiler Odontopteris-Reste aus dem Blanzy-Montceau-Becken (Frankreich) konnten MAPH und MATH (sowie teilweise DAPH 1 und DAPH 2) identifiziert werden. Allerdings ist das Auftreten der Verbindungen in diesen Odontopteris-Extrakten wahrscheinlich auf eine Überprägung des Pflanzenmaterials durch das umgebende Sediment zurückzuführen, da die Verbindungen in den Sediment-Vergleichsproben in höheren bzw. ähnlichen Konzentrationen enthalten sind. Insgesamt sind daher in den oberkarbonischen Kohlenbecken die Cordaiten als einer, möglicherweise sogar als „die“ Bioproduzenten der Ausgangsverbindungen der Arboran-/Fernanderivate MATH, MAPH, DAPH 1 und DAPH 2 anzusehen. Die deutlich negativere Kohlenstoffisotopie (-31,68 ‰) einer Sedimentprobe aus der Bohrung Wemmetsweiler-Nord, die gleichzeitig die höchsten Arboran-/Fernanderivat-Konzentrationen enthält, weist auf eine verstärkte mikrobielle Überarbeitung des organischen Materials hin. Fluoreszenz- und Auflichtmikroskopie-Untersuchungen zeigen zudem einen erheblichen, ebenfalls auf bakterielle Aktivität hindeutenden Bituminitanteil, während Relikte von höheren Landpflanzen nur geringfügig vertreten sind. Dies legt den Schluß nahe, daß die Arboran-/Fernanderivate in dieser Probe nicht von Cordaiten, sondern alternativ von Bakterien (oder Algen) abstammen. In diesem Fall ist Isoarborinol als biologischer Vorläufer anzunehmen und es tritt eine deutliche Verschiebung der Kohlenstoffisotopie-Werte zu negativeren Werten auf. Bei den Cordaiten ist eine derartige Isotopenverschiebung dagegen nicht zu beobachten, so daß für MATH, MAPH, DAPH 1 und DAPH 2 Fernen bzw. Fernenol als biologische Vorläufer anzunehmen sind.