Publications by authors named "Kers J"

Histopathological analysis of whole slide images (WSIs) has seen a surge in the utilization of deep learning methods, particularly Convolutional Neural Networks (CNNs). However, CNNs often fail to capture the intricate spatial dependencies inherent in WSIs. Graph Neural Networks (GNNs) present a promising alternative, adept at directly modeling pairwise interactions and effectively discerning the topological tissue and cellular structures within WSIs.

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Deep learning (DL) holds great promise to improve medical diagnostics, including pathology. Current DL research mainly focuses on performance. DL implementation potentially leads to environmental consequences but approaches for assessment of both performance and carbon footprint are missing.

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Background And Hypothesis: Kidney macrophage infiltration is a histological hallmark of vasculitic lesions and is strongly linked to disease activity in anti-neutrophil cytoplasmic antibodies (ANCA)-associated glomerulonephritis (AGN). The precise mechanisms by which kidney macrophages influence local inflammation and long-term damage remain largely unknown.

Methods: Here, we investigate kidney macrophage diversity using single-cell transcriptome analysis of 25 485 freshly retrieved unfrozen, high-quality kidney CD45+ immune cells from five AGN patients during active disease, a lupus nephritis and nephrectomy control.

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Article Synopsis
  • BK polyomavirus-associated nephropathy (BKPyVAN) is a significant complication after kidney transplantation, usually managed by reducing immunosuppression when BK polyomavirus (BKPyV) is detected.
  • A study involving 1,076 kidney transplant recipients found a higher risk of developing de novo donor-specific antibodies (dnDSA) in patients with high BKPyV DNA loads compared to those without, suggesting that the required immunosuppression reduction can worsen immune responses.
  • While high BKPyV DNAemia increased dnDSA risk, there was no significant difference in the occurrence of biopsy-proven acute rejection (BPAR) between groups, indicating a need for better strategies to manage BKPyV infections in transplant patients.
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Mesenchymal stromal cells (MSCs) have immunomodulatory properties and are therefore considered promising tools in kidney transplantation. Although most studies have been conducted with autologous MSCs, using allogeneic MSCs as an off-the-shelf product is more feasible in clinical settings. However, allogeneic MSCs could potentially induce an immune response, which might eventually be directed towards the kidney allograft because of shared human leukocyte antigen (HLA) epitope mismatches between the kidney and MSC donor.

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Kidneys donated after circulatory death (DCD) perform similarly to kidneys donated after brain death (DBD). However, the respective incidences of delayed graft function (DGF) differ. This questions the donor type-specific impact of early graft function on long-term outcomes.

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Drinking water distribution systems (DWDSs) represent an ideal environment for biofilm formation, which can harbor pathogenic and antimicrobial-resistant bacteria. This study aimed to assess longitudinally the microbial community composition and antimicrobial resistance (AMR), as determined by 16S rRNA NGS and qPCR, respectively, in drinking water (DW) and biofilm from DWDSs, as well as faeces, of free-range organic broiler farms. The role of DWDSs in AMR gene (ARG) dissemination within the farm environment and transmission to animals, was also assessed.

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  • Identifying early-stage mycosis fungoides (MF), a type of skin cancer, is hard because it looks a lot like harmless skin conditions.
  • Researchers are using deep learning (DL), a type of computer technology, to help doctors tell the difference between MF and these benign conditions by looking at images from skin biopsies.
  • The study showed that this DL method can get pretty close to the accuracy of expert doctors, which is promising for improving cancer diagnoses in the future.
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Background: Research biopsies have great potential to advance scientific knowledge by helping to establish predictors of favourable or unfavourable outcomes in kidney transplantation. We evaluated punch and core biopsies of different sizes to determine the optimal size for clinical use.

Methods: A total of 54 punch biopsies and 18 core needle biopsies were retrieved by three transplant surgeons.

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Fiber-reinforced plywood is a composite material that combines the natural strength and rigidity of plywood with the added durability and resilience provided by reinforcing fibers. This type of plywood is designed to offer improved characteristics over standard plywood, including enhanced strength, stiffness, resistance to impact and moisture, and environmental degradation. By integrating reinforcing fibers, such as glass, carbon, or natural fibers (like flax, bamboo, or hemp) into or onto plywood, manufacturers can create a material that is better suited for applications where traditional plywood might fall short or when a decrease in product weight or savings in wood raw material are necessary.

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Two common obstacles limiting the performance of data-driven algorithms in digital histopathology classification tasks are the lack of expert annotations and the narrow diversity of datasets. Multi-instance learning (MIL) can address the former challenge for the analysis of whole slide images (WSI), but performance is often inferior to full supervision. We show that the inclusion of weak annotations can significantly enhance the effectiveness of MIL while keeping the approach scalable.

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Background: Kidney transplantation is the preferred treatment option for patients with end-stage renal disease. However, long-term graft survival remains a challenge. The enzyme indoleamine 2,3 dioxygenase (IDO) has been reported to have immunomodulatory effects with IDO transcripts being elevated in both antibody-mediated rejection and T cell-mediated rejection.

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Improvement of long-term outcomes through targeted treatment is a primary concern in kidney transplant medicine. Currently, the validation of a rejection diagnosis and subsequent treatment depends on the histological assessment of allograft biopsy samples, according to the Banff classification system. However, the lack of (early) disease-specific tissue markers hinders accurate diagnosis and thus timely intervention.

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Baseline kidney function following kidney transplantation is often used in research and clinical decision-making yet is not well defined. Here, a method to determine baseline function was proposed and validated on three single-center retrospective cohorts consisting of 922 patients from Belgium (main cohort) and two validation cohorts of 987 patients from the Netherlands and 519 patients from Germany. For each transplant, a segmented regression model was fitted on the estimated glomerular filtration rate (eGFR) evolution during the first-year post-transplantation.

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Chronic kidney disease (CKD) has emerged as a significant global public health concern. Recent epidemiological studies have highlighted the link between exposure to fine particulate matter (PM) and a decline in renal function. PM exerts harmful effects on various organs through oxidative stress and inflammation.

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The growing disparity between the demand for transplants and the available donor supply, coupled with an aging donor population and increasing prevalence of chronic diseases, highlights the urgent need for the development of platforms enabling reconditioning, repair, and regeneration of deceased donor organs. This necessitates the ability to preserve metabolically active kidneys ex vivo for days. However, current kidney normothermic machine perfusion (NMP) approaches allow metabolic preservation only for hours.

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Background: The decision to accept or discard the increasingly rare and marginal brain-dead donor kidneys in Eurotransplant (ET) countries has to be made without solid evidence. Thus, we developed and validated flexible clinicopathological scores called 2-Step Scores for the prognosis of delayed graft function (DGF) and 1-year death-censored transplant loss (1y-tl) reflecting the current practice of six ET countries including Croatia and Belgium.

Methods: The training set was n = 620 for DGF and n = 711 for 1y-tl, with validation sets n = 158 and n = 162, respectively.

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The utilization of kidneys from donors with acute kidney injury (AKI) is often limited by unpredictable post-transplantation outcomes. The aim of our study was to identify protein mediators implicated in either recovery or failure of these organs. Forty kidney biopsies from donors with (20) and without AKI (20) were selected and then subdivided according to the post-transplant outcome defined as a threshold of 45 ml/min for the eGFR at 1 year from transplantation.

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Renal ex vivo normothermic machine perfusion (NMP) is under development as an assessment tool for high-risk kidney grafts and as a means of achieving more physiologically accurate organ preservation. On-going hemolysis has been reported during NMP, as this technique relies on red blood cells for oxygen delivery. In this study, we confirm the occurrence of progressive hemolysis during 6-hour kidney NMP.

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Antimicrobial resistance genes (ARG) are commonly found on acquired mobile genetic elements (MGEs) such as plasmids or transposons. Understanding the spread of resistance genes associated with mobile elements (mARGs) across different hosts and environments requires linking ARGs to the existing mobile reservoir within bacterial communities. However, reconstructing mARGs in metagenomic data from diverse ecosystems poses computational challenges, including genome fragment reconstruction (assembly), high-throughput annotation of MGEs, and identification of their association with ARGs.

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The XVIth Banff Meeting for Allograft Pathology was held in Banff, Alberta, Canada, from September 19 to 23, 2022, as a joint meeting with the Canadian Society of Transplantation. In addition to a key focus on the impact of microvascular inflammation and biopsy-based transcript analysis on the Banff Classification, further sessions were devoted to other aspects of kidney transplant pathology, in particular T cell-mediated rejection, activity and chronicity indices, digital pathology, xenotransplantation, clinical trials, and surrogate endpoints. Although the output of these sessions has not led to any changes in the classification, the key role of Banff Working Groups in phrasing unanswered questions, and coordinating and disseminating results of investigations addressing these unanswered questions was emphasized.

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Article Synopsis
  • The Banff Digital Pathology Working Group (DPWG) was created to build a digital pathology repository, develop AI models for analyzing images, and enhance collaboration through videoconferencing.
  • During meetings, various AI support systems for transplantation pathology were reviewed, and the DIAGGRAFT challenge for kidney transplants was proposed, which includes assessing biopsies and refining Banff scoring algorithms.
  • A survey showed that nearly half of the respondents already have access to servers for a digital pathology repository, with plans to create a pilot repository and continue collaboration through the upcoming competition/trial.
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Immune evasive induced pluripotent stem cell (iPSC)-derived kidney organoids, known as "stealth" organoids, hold promise for clinical transplantation. To address immune rejection, we investigated the impact of genetically modifying human leukocyte antigen (HLA) class I in kidney organoids prior to transplantation. By using CRISPR-Cas9, we successfully knocked out beta-2-microglobulin (B2M), resulting in iPSCs devoid of HLA class I surface expression.

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  • The study presents a new method for transesterifying cellulose with vinyl esters using an environmentally friendly ionic liquid, [mTBNH][OAC], allowing for improved homogeneous reactions and recyclability.
  • Various long-chain cellulose esters were synthesized, achieving a degree of substitution (DS) up to 1.8, with optimized reaction parameters such as temperature and reactant ratios.
  • Structural and thermal analyses indicate successful incorporation of alkyl chains into cellulose, enhancing material properties and suggesting these esters could replace traditional cellulose derivatives.
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  • Dietary potassium (K+) plays a role in heart and kidney health, but its effects on those with chronic kidney disease (CKD) are uncertain; this study suggests CKD may heighten vulnerability to both low and high potassium diets.
  • In experiments with male rats, those with CKD on a low potassium chloride (KCl) diet experienced significant kidney injury and inflammation, while those on a high KCl diet developed severe hypertension and other metabolic issues not seen in healthy rats.
  • The study found that a high potassium citrate diet reduced hypertension effects but did not completely prevent kidney damage, highlighting that CKD makes kidneys more sensitive to potassium levels and their related complications.
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