Peter Boor

Peter Boor
RWTH Aachen University · Institute of Pathology

MD, PhD

About

463
Publications
82,165
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
12,904
Citations
Citations since 2017
330 Research Items
10342 Citations
201720182019202020212022202305001,0001,5002,0002,500
201720182019202020212022202305001,0001,5002,0002,500
201720182019202020212022202305001,0001,5002,0002,500
201720182019202020212022202305001,0001,5002,0002,500
Additional affiliations
November 2018 - January 2019
RWTH Aachen University
Position
  • Professor
May 2009 - December 2015
RWTH Aachen University
Position
  • Group Leader, Pathologist

Publications

Publications (463)
Article
Aim: Chronic kidney disease (CKD) is accompanied by increased cardiovascular risk and heart failure. In rodents, 2,8-dihydroxyadenine (DHA)-induced nephropathy is a frequently used CKD model. Cardiac and kidney tubular cells share high energy demand to guarantee constant contractive force of the heart or reabsorption/secretion of primary filtrated...
Article
Full-text available
Non-melanoma skin cancer (NMSC) is the most common cancer in Caucasians worldwide. We investigated the pathophysiological role of MIF and its homolog D-DT in UVB- and chemically induced NMSC using Mif−/−, D-dt−/− and Mif−/−/D-dt−/− mice on a hairless SKH1 background. Knockout of both cytokines showed similar attenuating effects on inflammation afte...
Article
Full-text available
Background and Objective Generalizable and trustworthy deep learning models for PET/CT image segmentation necessitates large diverse multi-institutional datasets. However, legal, ethical, and patient privacy issues challenge sharing of datasets between different centers. To overcome these challenges, we developed a federated learning (FL) framework...
Article
Background & Aims: Cholestatic liver injury is associated with c-Jun N-terminal kinases (JNK) activation in distinct cell types. Its hepatocyte-specific function during cholestasis, however, has not yet been established. Therefore, in our present study, we investigated the role of JNK1/2 during cholestasis and dissected its hepatocyte-specific func...
Article
Background and Aims Chronic kidney disease affects >10% of the world's population and is associated with high mortality and morbidity. The best predictor of CKD progression is the extent of fibrosis, i.e., pathological deposition of extracellular matrix (ECM) and loss of functional kidney parenchyme. Currently, there are no specific treatment optio...
Article
Background and Aims Inhibitors of the renin-angiotensin system (RAS), sodium-glucose transporter (SGLT)-2, and the mineralocorticoid receptor (MR) have all demonstrated renoprotective effects in large clinical trials of diabetes-related CKD. Furthermore, dual RAS/SGLT2 blockade showed additive renoprotective effects also in non-diabetic CKD. We hyp...
Article
Full-text available
In this study we use comparative genomics to uncover a gene with uncharacterized function (1700011H14Rik/C14orf105/CCDC198), which we hereby name FAME (Factor Associated with Metabolism and Energy). We observe that FAME shows an unusually high evolutionary divergence in birds and mammals. Through the comparison of single nucleotide polymorphisms, w...
Article
Full-text available
Chronic kidney diseases affect a substantial percentage of the adult population worldwide. This observation emphasizes the need for novel insights into the molecular mechanisms that control the onset and progression of renal diseases. Recent advances in genomics have uncovered a previously unanticipated link between the non-coding genome and human...
Article
Full-text available
Donor organ-shortage has resulted in the increased use of marginal grafts; however, normothermic machine perfusion (NMP) holds the potential for organ viability assessment and restoration of marginal grafts prior to transplantation. Additionally, cell-, oxygen carrier-free and antioxidants-supplemented solutions could potentially prevent adverse ef...
Article
Full-text available
Citation: de Toledo, M.A.S.; Fu, X.; Maié, T.; Buhl, E.M.; Götz, K.; Schmitz, S.; Kaiser, A.; Boor, P.; Braunschweig, T.; Chatain, N.; et al. KIT D816V Mast Cells Derived from Induced Pluripotent Stem Cells Recapitulate Systemic Mastocytosis Transcriptional Profile. Int. J. Mol. Sci. 2023, 24, 5275. https://doi. Abstract: Mast cells (MCs) represent...
Article
Full-text available
Background and Aims One of the most important complications of heart transplantation is organ rejection, which is diagnosed on endomyocardial biopsies by pathologists. Computer-based systems could assist in the diagnostic process and potentially improve reproducibility. Here, we evaluated the feasibility of using deep learning in predicting the deg...
Article
Full-text available
Preclinical tests in animal models are key steps in early drug development. Consequently, the International Society of Nephrology held a consensus meeting that connected experts in the global kidney community in order to provide guidance on optimal management of translational animal studies for the development of new drugs to treat kidney disease,...
Article
Full-text available
During inflammatory responses, neutrophils enter the sites of attack where they execute various defense mechanisms. They (I) phagocytose microorganisms, (II) degranulate to release cytokines, (III) recruit various immune cells by cell-type specific chemokines, (IV) secrete anti-microbials including lactoferrin, lysozyme, defensins and reactive oxyg...
Article
Full-text available
Fibrosis represents the common end stage of chronic organ injury independent of the initial insult, destroying tissue architecture and driving organ failure. Here we discover a population of profibrotic macrophages marked by expression of Spp1, Fn1, and Arg1 (termed Spp1 macrophages), which expands after organ injury. Using an unbiased approach, we...
Article
Full-text available
Pathology diagnostics relies on the assessment of morphology by trained experts, which remains subjective and qualitative. Here we developed a framework for large-scale histomorphometry (FLASH) performing deep learning-based semantic segmentation and subsequent large-scale extraction of interpretable, quantitative, morphometric features in non-tumo...
Preprint
Full-text available
Although clinical applications represent the next challenge in single-cell genomics and digital pathology, we are still lacking computational methods to analyse single-cell and pathomics data at a patient level for finding patient trajectories associated with diseases. This is challenging as a single-cell/pathomics data is represented by clusters o...
Article
Full-text available
Background In severe cases, SARS-CoV-2 infection leads to acute respiratory distress syndrome (ARDS), often treated by extracorporeal membrane oxygenation (ECMO). During ECMO therapy, anticoagulation is crucial to prevent device-associated thrombosis and device failure, however, it is associated with bleeding complications. In COVID-19, additional...
Preprint
Background: Catalytic class IA PI 3-kinase isoform p110alpha is a crucial regulator of cellular proliferation and survival in numerous cell types. While p110alpha is critically involved in pathogenic vascular remodeling, its physiological role for vascular integrity under stress conditions has not been studied. We report a protective function of sm...
Article
Full-text available
Vascular occlusions in patients with coronavirus diseases 2019 (COVID-19) have been frequently reported in severe outcomes mainly due to a dysregulation of neutrophils mediating neutrophil extracellular trap (NET) formation. Lung specimens from patients with COVID-19 have previously shown a dynamic morphology, categorized into three types of pleomo...
Article
Full-text available
Objectives Omicron lineages BA.1/2 are considered to cause mild clinical courses. Nevertheless, fatal cases after those infections are recognized but little is known about risk factors. Methods Twenty-three full and three partial autopsies in deceased with known Omicron BA.1/2 infections have been consecutively performed. The investigations includ...
Preprint
Background: A significant proportion of patients experience prolonged pulmonary, cardiocirculatory or neuropsychiatric symptoms after Coronavirus disease 2019 (COVID-19), termed post-acute sequelae of COVID (PASC). Lung manifestations of PASC include cough, dyspnea on exertion and persistent radiologic abnormalities and have been linked to viral pe...
Article
Full-text available
Myocardial infarction is remains the leading cause of death in developed countries. Recent data show that the composition of the extracellular matrix might differ despite similar heart function and infarction sizes. Because collagen is the main component of the extracellular matrix, we hypothesized that changes in inflammatory cell recruitment infl...
Article
Background FSGS is the final common pathway to nephron loss in most forms of severe or progressive glomerular injury. Although podocyte injury initiates FSGS, parietal epithelial cells (PECs) are the main effectors. Because PDGF takes part in fibrotic processes, we hypothesized that the ligand PDGF-B and its receptor PDGFR- β participate in the ori...
Article
Full-text available
Ischemia-reperfusion injury remains a fundamental problem during organ transplantation logistics. One key technical factor is the rapid allograft rewarming during the time of vascular reconstruction in the recipient. In this pilot study, a new thermal insulation bag (TIB) for organ transplantation was used. Insulation capacity, tissue compatibility...
Article
Full-text available
Background COVID-19 is characterized by a heterogeneous clinical presentation, ranging from mild symptoms to severe courses of disease. 9–20% of hospitalized patients with severe lung disease die from COVID-19 and a substantial number of survivors develop long-COVID. Our objective was to provide comprehensive insights into the pathophysiology of se...
Article
In chronic kidney disease, peritubular capillaries undergo anatomical and functional alterations such as rarefaction and increased permeability. The endothelial glycocalyx is a carbohydrate-rich gel-like mesh, which covers the luminal surface of endothelial cells. It is involved in many regulatory functions of the endothelium, including vascular pe...
Article
Full-text available
Adult kidney organoids have been described as strictly tubular epithelia and termed tubuloids. While the cellular origin of tubuloids has remained elusive, here we report that they originate from a distinct CD24+ epithelial subpopulation. Long-term-cultured CD24+ cell-derived tubuloids represent a functional human kidney tubule. We show that kidney...
Article
Full-text available
Background Computational pathology uses deep learning (DL) to extract biomarkers from routine pathology slides. Large multicentric datasets improve performance, but such datasets are scarce for gastric cancer. This limitation could be overcome by Swarm Learning (SL). Methods Here, we report the results of a multicentric retrospective study of SL f...
Article
Full-text available
Extracellular DNA (ecDNA) in plasma is a non-specific biomarker of tissue damage. Urinary ecDNA, especially of mitochondrial origin, is a potential non-invasive biomarker of kidney damage. Despite prominent tissue damage, ecDNA has not yet been comprehensively analysed in acute kidney injury (AKI). We analysed different fractions of ecDNA, i.e. tot...
Preprint
Full-text available
Compared with previously prevalent variants of SARS-CoV-2, the Omicron lineages BA.1 and BA.2 are known to be associated with mild clinical courses. In addition, well-established animal models do not develop severe diseases. To address whether the supposedly fatal cases after Omicron-BA.1/2 infection show the known COVID-19 organ alterations, espec...
Article
Full-text available
Autoimmune vasculitis is a group of life-threatening diseases, whose underlying pathogenic mechanisms are incompletely understood, hampering development of targeted therapies. Here, we demonstrate that patients suffering from anti-neutrophil cytoplasmic antibodies (ANCA)-associated vasculitis (AAV) showed increased levels of cGAMP and enhanced IFN-...
Article
Convolutional neural network (CNN)-based image analysis applications in digital pathology (eg, tissue segmentation) require a large amount of annotated data and are mostly trained and applicable on a single stain. Here, a novel concept based on stain augmentation is proposed to develop stain-independent CNNs requiring only one annotated stain. In t...
Preprint
Full-text available
One of the most important complications of heart transplantation is organ rejection, which is diagnosed on endomyocardial biopsies by pathologists. Computer-based systems could assist in the diagnostic process and potentially improve reproducibility. Here, we evaluated the feasibility of using deep learning in predicting the degree of cellular reje...
Article
Full-text available
Artificial Intelligence (AI) can support diagnostic workflows in oncology by aiding diagnosis and providing biomarkers directly from routine pathology slides. However, AI applications are vulnerable to adversarial attacks. Hence, it is essential to quantify and mitigate this risk before widespread clinical use. Here, we show that convolutional neur...
Article
Background Autopsies are a valuable tool for understanding disease, including COVID-19.Materials and methodsThe German Registry of COVID-19 Autopsies (DeRegCOVID), established in April 2020, serves as the electronic backbone of the National Autopsy Network (NATON), launched in early 2022 following DEFEAT PANDEMIcs.ResultsThe NATON consortium’s inte...
Article
Full-text available
Background: Autopsy studies have provided valuable insights into the pathophysiology of COVID-19. Controversies remain about whether the clinical presentation is due to direct organ damage by SARS-CoV-2 or secondary effects, such as overshooting immune response. SARS-CoV-2 detection in tissues by RT-qPCR and immunohistochemistry (IHC) or electron...
Article
Full-text available
Artificial intelligence (AI) solutions that automatically extract information from digital histology images have shown great promise for improving pathological diagnosis. Prior to routine use, it is important to evaluate their predictive performance and obtain regulatory approval. This assessment requires appropriate test datasets. However, compili...
Article
Full-text available
Background Considerable inter- and intra-laboratory stain variability exists in pathology, representing a challenge in development and application of deep learning (DL) approaches. Since tackling all sources of stain variability with manual annotation is not feasible, we here investigated and compared unsupervised DL approaches to reduce the conseq...
Article
Full-text available
Myocardial infarction is a leading cause of death worldwide¹. Although advances have been made in acute treatment, an incomplete understanding of remodelling processes has limited the effectiveness of therapies to reduce late-stage mortality². Here we generate an integrative high-resolution map of human cardiac remodelling after myocardial infarcti...
Article
Background The digital transformation of pathology through the widespread use of so-called whole slide scanners offers numerous opportunities for nephropathology, especially with respect to the implementation of computer assistance. Currently, the possibilities of systems based on the use of deep learning, a special technique of information process...
Article
Full-text available
The use of autopsies in medicine has been declining. The COVID-19 pandemic has documented and rejuvenated the importance of autopsies as a tool of modern medicine. In this review, we discuss the various autopsy techniques, the applicability of modern analytical methods to understand the pathophysiology of COVID-19, the major pathological organ find...
Article
Full-text available
Aims Patients with chronic kidney disease (CKD) have an increased risk of cardiovascular events and exhibit myocardial changes including left ventricular (LV) hypertrophy and fibrosis, overall referred to as ‘uremic cardiomyopathy’. Although different CKD animal models have been studied for cardiac effects, lack of consistent reporting on cardiac f...
Article
Full-text available
Normothermic machine perfusion (NMP) of kidneys in combination with an optimized perfusate composition may increase donor organ preservation quality, especially in the case of marginal donor grafts. Optimization of currently employed perfusates is still a subject of present research. Due to the advantages of being cell-free, easy to store, and havi...
Article
Crescentic glomerulonephritis (cGN) is the most aggressive form of glomerulonephritis in humans. A widely studied mouse model is induced by sheep or rabbit antisera raised against murine renal cortical antigens. We here, report that Alpaca readily produce ample amounts of antisera that induces pathology in mice, resembling human disease regarding c...
Article
Aim: To investigate cardiac signalling pathways connecting substrate utilization with left ventricular remodelling in a murine pressure overload model. Methods: Cardiac hypertrophy was induced by transverse aortic constriction surgery in 20-week-old C57BL/6J mice treated with or without the sodium-glucose co-transporter 2 (SGLT2) inhibitor ertug...
Article
Full-text available
Donor age is a major risk factor for allograft outcome in kidney transplantation. The underlying cellular mechanisms and the recipient´s immune response within an aged allograft have yet not been analyzed. A comprehensive immunophenotyping of naïve and transplanted young versus aged kidneys revealed that naïve aged murine kidneys harbor significant...
Preprint
Platelet homeostasis is essential for vascular integrity and immune defense. While the process of platelet formation by fragmenting megakaryocytes (thrombopoiesis) has been extensively studied, the cellular and molecular mechanisms required to constantly replenish the pool of megakaryocytes by their progenitor cells (megakaryopoiesis) remains uncle...
Article
Full-text available
Background In digital pathology, many image analysis tasks are challenged by the need for large and time-consuming manual data annotations to cope with various sources of variability in the image domain. Unsupervised domain adaptation based on image-to-image translation is gaining importance in this field by addressing variabilities without the man...
Preprint
Autoimmune vasculitis is a group of life-threatening diseases, whose underlying pathogenic mechanisms are incompletely understood, hampering development of targeted therapies. Here, we demonstrate that patients suffering from anti-neutrophil cytoplasmic antibodies (ANCA)-associated vasculitis (AAV) showed increased activity of the DNA sensor cGAS a...
Article
BACKGROUND AND AIMS Focal segmental glomerulosclerosis (FSGS) describes a primary disease of podocytes (podocytopathy) and a secondary consequence of severe or progressive glomerular damage. No specific treatment options exist for FSGS, with many patients progressing to end-stage kidney disease. While podocyte injury is considered to initiate FSGS,...
Article
BACKGROUND AND AIMS Nephropathology is essential for the diagnosis of kidney diseases. Deep learning-based image analyses, including segmentation of kidney histology, open new possibilities for reproducible quantitative precision pathology. Current segmentation approaches in kidney histology focused on specific use cases. Here, we developed a frame...
Article
BACKGROUND AND AIMS The glycocalyx is a carbohydrate-rich gel-like mesh, which covers the luminal surface of cells, including the endothelium. The glycocalyx is involved in many regulatory functions of the endothelium, including vascular permeability. In chronic kidney disease (CKD), peritubular capillaries undergo anatomical, structural and functi...
Article
BACKGROUND AND AIMS Autopsies are an invaluable tool in medicine for studying the pathophysiology of diseases, including kidney diseases and causes of death. To facilitate multicenter autopsy-based studies and to provide a single point of contact for data analysis and reporting, the German COVID-19 Autopsy Registry (DeRegCOVID) was launched in Apri...
Article
Artificial intelligence (AI) can extract visual information from histopathological slides and yield biological insight and clinical biomarkers. Whole slide images are cut into thousands of tiles and classification problems are often weakly-supervised: the ground truth is only known for the slide, not for every single tile. In classical weakly-super...
Article
Full-text available
Whole slide images contain a magnitude of quantitative information that may not be fully explored in qualitative visual assessments. We propose (1) a novel pipeline for extracting a comprehensive set of visual features, which are detectable by a pathologist, as well as sub-visual features, which are not discernible by human experts, and (2) perform...
Article
Full-text available
It has been shown that the presence and density of nerve fibers (NFs; NFD) in the tumor microenvironment (TME) may play an important prognostic role in predicting long-term oncological outcomes in various malignancies. However, the role of NFD in the prognosis of hepatocellular carcinoma (HCC) is yet to be explored. To this end, we aimed to investi...
Preprint
Full-text available
Pathology diagnostics relies on the assessment of morphological features by trained experts, which remains subjective and qualitative. Modern image analysis techniques, particularly deep learning, provide a possible solution, sometimes exceeding human capabilities, e.g., mutation prediction directly from histology. 49 However, categorical model out...