Refine
Year of publication
Document Type
- Article (17)
- Doctoral Thesis (6)
Has Fulltext
- yes (23) (remove)
Is part of the Bibliography
- no (23) (remove)
Keywords
- Biomarker (23) (remove)
Institute
- Medizin (18)
- Biowissenschaften (2)
- Biochemie und Chemie (1)
- Geowissenschaften (1)
- Pharmazie (1)
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.