Grainyhead-like 2 Deficiency and Kidney Cyst Growth in a Mouse Model.

BACKGROUND: The transcription factor Grainyhead-like 2 (GRHL2) plays a crucial role in maintaining the epithelial barrier properties of the renal collecting duct and is essential for osmoregulation. We noticed a reduction in GRHL2 expression in cysts derived from the collecting ducts in kidneys affected by Autosomal Dominant Polycystic Kidney Disease (ADPKD). However, the specific role of GRHL2 in cystic kidney disease remains unknown. METHODS: The functional role of the transcription factor Grhl2 in the context of cystic kidney disease was examined through analysis of its expression pattern in patient samples with ADPKD and generating a transgenic cystic kidney disease (TCKD) mouse model by overexpressing the human proto-oncogene c-MYC in kidney collecting ducts. Next, TCKD mice bred with collecting duct-specific Grhl2 knockout mice (Grhl2KO). The resulting TCKD-Grhl2KO mice and their littermates were examined by various types of histological and biochemical assays and gene profiling analysis via RNA-seq. RESULTS: A comprehensive examination of kidney samples from patients with ADPKD revealed GRHL2 downregulation in collecting duct-derived cyst epithelia. Comparative analysis of TCKD and TCKD-Grhl2KO mice exhibited that the collecting duct-specific deletion of Grhl2 resulted in markedly aggravated cyst growth, worsened kidney dysfunction, and shortened life span. Furthermore, transcriptomic analyses indicated sequential downregulation of kidney epithelial cyst development regulators (Frem2, Muc1, Cdkn2c, Pkd2, and Tsc1) during cyst progression in kidneys of TCKD-Grhl2KO mice which included presumed direct Grhl2 target genes. CONCLUSIONS: These results suggest GRHL2 as a potential progression modifier, especially for cysts originating from collecting ducts.

Epithelial cell states associated with kidney and allograft injury.

The kidney epithelium, with its intricate arrangement of highly specialized cell types, constitutes the functional core of the organ. Loss of kidney epithelium is linked to the loss of functional nephrons and a subsequent decline in kidney function. In kidney transplantation, epithelial injury signatures observed during post-transplantation surveillance are strong predictors of adverse kidney allograft outcomes. However, epithelial injury is currently neither monitored clinically nor addressed therapeutically after kidney transplantation. Several factors can contribute to allograft epithelial injury, including allograft rejection, drug toxicity, recurrent infections and postrenal obstruction. The injury mechanisms that underlie allograft injury overlap partially with those associated with acute kidney injury (AKI) and chronic kidney disease (CKD) in the native kidney. Studies using advanced transcriptomic analyses of single cells from kidney or urine have identified a role for kidney injury-induced epithelial cell states in exacerbating and sustaining damage in AKI and CKD. These epithelial cell states and their associated expression signatures are also observed in transplanted kidney allografts, suggesting that the identification and characterization of transcriptomic epithelial cell states in kidney allografts may have potential clinical implications for diagnosis and therapy.

Plasma NGAL levels in stable kidney transplant recipients and the risk of allograft loss.

BACKGROUND: The objective of this study was to investigate the utility of neutrophil gelatinase-associated lipocalin (NGAL) and calprotectin (CPT) to predict long-term graft survival in stable kidney transplant recipients (KTR). METHODS: A total of 709 stable outpatient KTR were enrolled >2 months post-transplant. The utility of plasma and urinary NGAL (pNGAL, uNGAL) and plasma and urinary CPT at enrollment to predict death-censored graft loss was evaluated during a 58-month follow-up. RESULTS: Among biomarkers, pNGAL showed the best predictive ability for graft loss and was the only biomarker with an area under the curve (AUC) > 0.7 for graft loss within 5 years. Patients with graft loss within 5 years (n = 49) had a median pNGAL of 304 [interquartile range (IQR) 235-358] versus 182 (IQR 128-246) ng/mL with surviving grafts (P < .001). Time-dependent receiver operating characteristic analyses at 58 months indicated an AUC for pNGAL of 0.795, serum creatinine-based Chronic Kidney Disease Epidemiology Collaboration estimated glomerular filtration rate (eGFR) had an AUC of 0.866. pNGAL added to a model based on conventional risk factors for graft loss with death as competing risk (age, transplant age, presence of donor-specific antibodies, presence of proteinuria, history of delayed graft function) had a strong independent association with graft loss {subdistribution hazard ratio (sHR) for binary log-transformed pNGAL [log2(pNGAL)] 3.4, 95% confidence interval (CI) 2.24-5.15, P < .0001}. This association was substantially attenuated when eGFR was added to the model [sHR for log2(pNGAL) 1.63, 95% CI 0.92-2.88, P = .095]. Category-free net reclassification improvement of a risk model including log2(pNGAL) in addition to conventional risk factors and eGFR was 54.3% (95% CI 9.2%-99.3%) but C-statistic did not improve significantly. CONCLUSIONS: pNGAL was an independent predictor of renal allograft loss in stable KTR from one transplant center but did not show consistent added value when compared with baseline predictors including the conventional marker eGFR. Future studies in larger cohorts are warranted.

Discovery of a non-canonical GRHL1 binding site using deep convolutional and recurrent neural networks.

BACKGROUND: Transcription factors regulate gene expression by binding to transcription factor binding sites (TFBSs). Most models for predicting TFBSs are based on position weight matrices (PWMs), which require a specific motif to be present in the DNA sequence and do not consider interdependencies of nucleotides. Novel approaches such as Transcription Factor Flexible Models or recurrent neural networks consequently provide higher accuracies. However, it is unclear whether such approaches can uncover novel non-canonical, hitherto unexpected TFBSs relevant to human transcriptional regulation. RESULTS: In this study, we trained a convolutional recurrent neural network with HT-SELEX data for GRHL1 binding and applied it to a set of GRHL1 binding sites obtained from ChIP-Seq experiments from human cells. We identified 46 non-canonical GRHL1 binding sites, which were not found by a conventional PWM approach. Unexpectedly, some of the newly predicted binding sequences lacked the CNNG core motif, so far considered obligatory for GRHL1 binding. Using isothermal titration calorimetry, we experimentally confirmed binding between the GRHL1-DNA binding domain and predicted GRHL1 binding sites, including a non-canonical GRHL1 binding site. Mutagenesis of individual nucleotides revealed a correlation between predicted binding strength and experimentally validated binding affinity across representative sequences. This correlation was neither observed with a PWM-based nor another deep learning approach. CONCLUSIONS: Our results show that convolutional recurrent neural networks may uncover unanticipated binding sites and facilitate quantitative transcription factor binding predictions.

Free heme and hemopexin in acute kidney injury after cardiopulmonary bypass and transient renal ischemia.

Free heme is released from hemoproteins during hemolysis or ischemia reperfusion injury and can be pro-inflammatory. Most studies on nephrotoxicity of hemolysis-derived proteins focus on free hemoglobin (fHb) with heme as a prosthetic group. Measurement of heme in its free, non-protein bound, form is challenging and not commonly used in clinical routine diagnostics. In contrast to fHb, the role of free heme in acute kidney injury (AKI) after cardiopulmonary bypass (CPB) surgery is unknown. Using an apo-horseradish peroxidase-based assay, we identified free heme during CPB surgery as predictor of AKI in patients undergoing cardiac valve replacement (n = 37). Free heme levels during CPB surgery correlated with depletion of hemopexin (Hx), a heme scavenger-protein. In mice, the impact of high levels of circulating free heme on the development of AKI following transient renal ischemia and the therapeutic potential of Hx were investigated. C57BL/6 mice were subjected to bilateral renal ischemia/reperfusion injury for 15 min which did not cause AKI. However, additional administration of free heme in this model promoted overt AKI with reduced renal function, increased renal inflammation, and reduced renal perfusion on functional magnetic resonance imaging. Hx treatment attenuated AKI. Free heme administration to sham operated control mice did not cause AKI. In conclusion, free heme is a predictor of AKI in CPB surgery patients and promotes AKI in transient renal ischemia. Depletion of Hx in CPB surgery patients and attenuation of AKI by Hx in the in vivo model encourage further research on Hx therapy in patients with increased free heme levels during CPB surgery.

Protocol of the Berlin Long-term Observation of Vascular Events (BeLOVE): a prospective cohort study with deep phenotyping and long-term follow up of cardiovascular high-risk patients.

INTRODUCTION: The Berlin Long-term Observation of Vascular Events is a prospective cohort study that aims to improve prediction and disease-overarching mechanistic understanding of cardiovascular (CV) disease progression by comprehensively investigating a high-risk patient population with different organ manifestations. METHODS AND ANALYSIS: A total of 8000 adult patients will be recruited who have either suffered an acute CV event (CVE) requiring hospitalisation or who have not experienced a recent acute CVE but are at high CV risk. An initial study examination is performed during the acute treatment phase of the index CVE or after inclusion into the chronic high risk arm. Deep phenotyping is then performed after ~90 days and includes assessments of the patient's medical history, health status and behaviour, cardiovascular, nutritional, metabolic, and anthropometric parameters, and patient-related outcome measures. Biospecimens are collected for analyses including 'OMICs' technologies (e.g., genomics, metabolomics, proteomics). Subcohorts undergo MRI of the brain, heart, lung and kidney, as well as more comprehensive metabolic, neurological and CV examinations. All participants are followed up for up to 10 years to assess clinical outcomes, primarily major adverse CVEs and patient-reported (value-based) outcomes. State-of-the-art clinical research methods, as well as emerging techniques from systems medicine and artificial intelligence, will be used to identify associations between patient characteristics, longitudinal changes and outcomes. ETHICS AND DISSEMINATION: The study was approved by the Charité-Universitätsmedizin Berlin ethics committee (EA1/066/17). The results of the study will be disseminated through international peer-reviewed publications and congress presentations. STUDY REGISTRATION: First study phase: Approved WHO primary register: German Clinical Trials Register: https://drks.de/search/de/trial/DRKS00016852; WHO International Clinical Registry Platform: http://apps.who.int/trialsearch/Trial2.aspx?TrialID=DRKS00016852. Recruitment started on July 18, 2017.Second study phase: Approved WHO primary register: German Clinical Trials Register DRKS00023323, date of registration: November 4, 2020, URL: http://www.drks.de/ DRKS00023323. Recruitment started on January 1, 2021.

Current practice of blood pressure measurement in Germany: a nationwide questionnaire-based survey in medical practices.

PURPOSE: Discrepancies exist between guideline recommendations and real-world practice of blood pressure (BP) measurements. The aim of this study was to assess, with a nationwide, questionnaire-based survey, the current practice of BP measurement and associated BP values in German medical practices. MATERIAL AND METHODS: A nationwide survey in German medical practices was performed in the period from 10 May 2021 to 15 August 2021. The questionnaire was divided into five sections. The current office BP (OBP) values as well as the current drug therapy were recorded. In addition, the implementation of office BP (OBP) and home BP monitoring (HBPM) was queried. For analysis, questionnaires were scanned and automatically digitised. RESULTS: A total of 7049 questionnaires were analysed, the majority of which came from general practitioners (66%) and internal medicine practices (34%). The average OBP (SD) was 140.0 (18)/82.7 (11) mmHg. 40.8% of treated patients had OBP in the controlled range, with monotherapy (34.7%) or dual combination therapy (38.2%) prescribed in most cases. OBP was taken from a single measurement in 66.3% of cases, and in 21.8% from 23 measurements. OBP was mostly measured after a rest period (87.1%) and in a separate room (80.4%). HBPM was performed in 62.3% of patients; however, in 24.9% of the participants HBP measurements were recorded once a week or less. CONCLUSION: In this nationwide survey in German medical practices, BP control remains at below 50%, while monotherapy is prescribed in around one third of patients. Moreover, office measurements and HBPM are often not performed according to current guideline recommendations.

What is the context?Elevated blood pressure (hypertension) is an important risk factor for diseases such as stroke or heart attack. However, sufficient drug therapy can significantly reduce the risk of complications such as a stroke. An adequate blood pressure measurement is the basis for diagnostics and successful therapy. In order to measure blood pressure as accurately as possible, recommendations for performing blood pressure measurements (at home as well as in the office) have been published by medical societies.Research suggests that blood pressure is not always measured according to these recommendations. However, there are no current studies for Germany.What is new?In this study, we analysed the results of a survey in which medical practices and pharmacies throughout Germany were asked about blood pressure measurement and blood pressure therapy. The key results of our study suggest that:• The blood pressure of many participants with known hypertension is not within the desired target range.• Office blood pressure measurements are often not performed as suggested by guidelines. This mainly affects time-consuming work steps such as repeating the measurement several times.• Home blood pressure is not recorded in a structured form, as suggested, but rather according to a random pattern by the patient. What is important?This study suggests that blood pressure control is not sufficient in the study participants. Furthermore, blood pressure measurement as an important tool for hypertension management is frequently not performed as proposed by guidelines.

The centrosomal protein 83 (CEP83) regulates human pluripotent stem cell differentiation toward the kidney lineage.

During embryonic development, the mesoderm undergoes patterning into diverse lineages including axial, paraxial, and lateral plate mesoderm (LPM). Within the LPM, the so-called intermediate mesoderm (IM) forms kidney and urogenital tract progenitor cells, while the remaining LPM forms cardiovascular, hematopoietic, mesothelial, and additional progenitor cells. The signals that regulate these early lineage decisions are incompletely understood. Here, we found that the centrosomal protein 83 (CEP83), a centriolar component necessary for primary cilia formation and mutated in pediatric kidney disease, influences the differentiation of human-induced pluripotent stem cells (hiPSCs) toward IM. We induced inactivating deletions of CEP83 in hiPSCs and applied a 7-day in vitro protocol of IM kidney progenitor differentiation, based on timed application of WNT and FGF agonists. We characterized induced mesodermal cell populations using single-cell and bulk transcriptomics and tested their ability to form kidney structures in subsequent organoid culture. While hiPSCs with homozygous CEP83 inactivation were normal regarding morphology and transcriptome, their induced differentiation into IM progenitor cells was perturbed. Mesodermal cells induced after 7 days of monolayer culture of CEP83-deficient hiPCS exhibited absent or elongated primary cilia, displayed decreased expression of critical IM genes (PAX8, EYA1, HOXB7), and an aberrant induction of LPM markers (e.g. FOXF1, FOXF2, FENDRR, HAND1, HAND2). Upon subsequent organoid culture, wildtype cells differentiated to form kidney tubules and glomerular-like structures, whereas CEP83-deficient cells failed to generate kidney cell types, instead upregulating cardiomyocyte, vascular, and more general LPM progenitor markers. Our data suggest that CEP83 regulates the balance of IM and LPM formation from human pluripotent stem cells, identifying a potential link between centriolar or ciliary function and mesodermal lineage induction.

Single-cell transcriptomics reveals common epithelial response patterns in human acute kidney injury.

BACKGROUND: Acute kidney injury (AKI) occurs frequently in critically ill patients and is associated with adverse outcomes. Cellular mechanisms underlying AKI and kidney cell responses to injury remain incompletely understood. METHODS: We performed single-nuclei transcriptomics, bulk transcriptomics, molecular imaging studies, and conventional histology on kidney tissues from 8 individuals with severe AKI (stage 2 or 3 according to Kidney Disease: Improving Global Outcomes (KDIGO) criteria). Specimens were obtained within 1-2 h after individuals had succumbed to critical illness associated with respiratory infections, with 4 of 8 individuals diagnosed with COVID-19. Control kidney tissues were obtained post-mortem or after nephrectomy from individuals without AKI. RESULTS: High-depth single cell-resolved gene expression data of human kidneys affected by AKI revealed enrichment of novel injury-associated cell states within the major cell types of the tubular epithelium, in particular in proximal tubules, thick ascending limbs, and distal convoluted tubules. Four distinct, hierarchically interconnected injured cell states were distinguishable and characterized by transcriptome patterns associated with oxidative stress, hypoxia, interferon response, and epithelial-to-mesenchymal transition, respectively. Transcriptome differences between individuals with AKI were driven primarily by the cell type-specific abundance of these four injury subtypes rather than by private molecular responses. AKI-associated changes in gene expression between individuals with and without COVID-19 were similar. CONCLUSIONS: The study provides an extensive resource of the cell type-specific transcriptomic responses associated with critical illness-associated AKI in humans, highlighting recurrent disease-associated signatures and inter-individual heterogeneity. Personalized molecular disease assessment in human AKI may foster the development of tailored therapies.

Acute kidney injury biomarkers in the single-cell transcriptomic era.

Acute kidney injury (AKI) affects many hospitalized patients and is associated with increased morbidity and mortality even at milder and reversible stages. The current clinical definition relies on serum creatinine increases or decreased urinary output. However, both parameters are of limited use because of poor sensitivity, specificity, and timeliness. Furthermore, the complex pathophysiology and diverse etiologies underlying AKI confound these issues. Precise biomarkers for specific aspects of AKI are needed. Earlier AKI biomarkers were unsuccessful in addressing these needs because they either lacked sensitivity and specificity or failed to aid in guiding clinical management. The advent of single-cell transcriptomics technologies provides an unprecedented opportunity to analyze cells from urine, blood, or kidney biopsies to elucidate the detailed, cell-specific, molecular responses in AKI. These technologies uncover the cellular sources of traditional biomarkers, capture patient heterogeneity, define cell states associated with different AKI subtypes, and might eventually help to predict therapeutic response. We discuss how single-cell technologies might transform diagnostic approaches to AKI by moving from single biomarkers to cell-specific molecular signatures.

Urinary single-cell sequencing captures kidney injury and repair processes in human acute kidney injury.

Acute kidney injury (AKI) is a major health issue, the outcome of which depends primarily on damage and reparative processes of tubular epithelial cells. Mechanisms underlying AKI remain incompletely understood, specific therapies are lacking and monitoring the course of AKI in clinical routine is confined to measuring urine output and plasma levels of filtration markers. Here we demonstrate feasibility and potential of a novel approach to assess the cellular and molecular dynamics of AKI by establishing a robust urine-to-single cell RNA sequencing (scRNAseq) pipeline for excreted kidney cells via flow cytometry sorting. We analyzed 42,608 single cell transcriptomes of 40 urine samples from 32 patients with AKI and compared our data with reference material from human AKI post-mortem biopsies and published mouse data. We demonstrate that tubular epithelial cells transcriptomes mirror kidney pathology and reflect distinct injury and repair processes, including oxidative stress, inflammation, and tissue rearrangement. We also describe an AKI-specific abundant urinary excretion of adaptive progenitor-like cells. Thus, single cell transcriptomics of kidney cells excreted in urine provides noninvasive, unprecedented insight into cellular processes underlying AKI, thereby opening novel opportunities for target identification, AKI sub-categorization, and monitoring of natural disease course and interventions.

Human lungs show limited permissiveness for SARS-CoV-2 due to scarce ACE2 levels but virus-induced expansion of inflammatory macrophages.

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) utilises the angiotensin-converting enzyme 2 (ACE2) transmembrane peptidase as cellular entry receptor. However, whether SARS-CoV-2 in the alveolar compartment is strictly ACE2-dependent and to what extent virus-induced tissue damage and/or direct immune activation determines early pathogenesis is still elusive. METHODS: Spectral microscopy, single-cell/-nucleus RNA sequencing or ACE2 "gain-of-function" experiments were applied to infected human lung explants and adult stem cell derived human lung organoids to correlate ACE2 and related host factors with SARS-CoV-2 tropism, propagation, virulence and immune activation compared to SARS-CoV, influenza and Middle East respiratory syndrome coronavirus (MERS-CoV). Coronavirus disease 2019 (COVID-19) autopsy material was used to validate ex vivo results. RESULTS: We provide evidence that alveolar ACE2 expression must be considered scarce, thereby limiting SARS-CoV-2 propagation and virus-induced tissue damage in the human alveolus. Instead, ex vivo infected human lungs and COVID-19 autopsy samples showed that alveolar macrophages were frequently positive for SARS-CoV-2. Single-cell/-nucleus transcriptomics further revealed nonproductive virus uptake and a related inflammatory and anti-viral activation, especially in "inflammatory alveolar macrophages", comparable to those induced by SARS-CoV and MERS-CoV, but different from NL63 or influenza virus infection. CONCLUSIONS: Collectively, our findings indicate that severe lung injury in COVID-19 probably results from a macrophage-triggered immune activation rather than direct viral damage of the alveolar compartment.

[Prevention of acute kidney injury]. / Prävention des akuten Nierenversagens.

Acute kidney injury contributes significantly to morbidity and mortality in hospitalized patients and is a common complication in the intensive care unit. Identification of patients at risk, elimination of modifiable risk factors and initiation of recommended preventive measures are the main cornerstones to prevent the onset and progression of acute kidney injury. Clinical and biomarker-based risk scores can help assess AKI-risk in specific patient populations. To date, there is no approved clinically effective drug to prevent AKI. Current guidelines suggest preventive care bundles that include optimizing volume status and renal perfusion by improving mean arterial pressure and using vasopressors, mainly norepinephrine. In addition, avoidance of volume overload and the targeted use of diuretics to achieve euvolemia are recommended. Nephrotoxic drugs require a critical risk-benefit assessment and therapeutic drug monitoring when appropriate. Contrast imaging should not be withheld from patients at risk of AKI when indicated but contrast medium should be limited to the smallest possible volume. Finally, recommendations include maintenance of normoglycemia and other measures to optimize organ function in specific patient populations.

Cardiac Surgery-Related Acute Kidney Injury _ Risk Factors, Clinical Course, Management Suggestions.

OBJECTIVE: Acute kidney injury (AKI) is a common complication after cardiac surgery (CS). Because a therapeutic regimen remains scarce, the early implementation of preventive strategies is crucial. The authors investigated risk factors and the typical clinical course of CS-associated AKI (CS-AKI) to derive strategies for perioperative clinical routines. DESIGN: Retrospective data analysis. SETTING: The data were collected from clinical routines in a maximum care university hospital. PARTICIPANTS: Patients. INTERVENTIONS: The authors retrospectively analyzed data from 538 patients who underwent CS. MEASUREMENTS AND MAIN RESULTS: The median age of the 466 patients included was 66.6 years; 65.7% were men. AKI occurred in 131 (28.1%) patients, mainly (89.0%) starting postoperatively within 72 hours p. Thirty-one (6.7%) patients showed Kidney Disease Improving Global Outcome AKI stage 3. AKI was significantly more frequent in patients with chronic kidney disease (p < 0.001), emergency admission (p < 0.001), heart failure (p < 0.001), and postoperative complications (p < 0.001). In a multivariate analysis, postoperative CS-AKI risk significantly decreased with each 1 or 10 mL/min preoperative glomerular filtration rate (GFR) (odds ratio, 0.962 and 0.677; 95% confidence interval, 0.947-0.977 and 0.577-0.793; p < 0.001 and p < 0.0001). Only in patients who developed Kidney Disease Improving Global Outcome AKI stage 3, an early postoperative trend to decreased GFR and increased creatinine levels was observed. CONCLUSIONS: Especially in patients with preexisting CKD and signs of CS-AKI occurring on the day of surgery, close monitoring of renal function should be performed for at least 72 hours after CS to detect an onset of AKI early and initiate renal protective strategies. Optimal preoperative fluid management might prevent postoperative AKI.

Discordance between estimated and measured changes in plasma volume among patients with acute heart failure.

AIMS: In acute heart failure (AHF), changes of venous haemoglobin (Hb) concentrations, haematocrit (Hct), and estimated plasma volume (ePV) have been proposed as surrogates of decongestion. These estimates are based on the theoretical assumptions that changes of Hb concentrations and Hct are driven by the intravascular volume status and that the intravascular Hb pool remains stable. The objective of this study was to assess the relationship of changes of measured plasma volume (mPV) with changes of Hb, Hct, and ePV in AHF. METHODS AND RESULTS: We studied 36 AHF patients, who received two sequential assessments of mPV, measured red cell volume (mRCV) and measured total blood volume (mTBV) (48 h apart), during the course of diuretic therapy using a novel visible fluorescent injectate (VFI) technique based on the indicator dilution principle. Changes of ePV were calculated based on the Kaplan-Hakim or Strauss formula. AHF patients receiving diuretics (median intravenous furosemide equivalent 160 mg/48 h) displayed a wide range of changes of mPV (-25.4% to +37.0%). Changes in mPV were not significantly correlated with changes of Hb concentration [Pearson's r (r) = -0.241, P = 0.157], Hct (r = -0.307, P = 0.069), ePVKaplan-Hakim (r = 0.228, P = 0.182), or ePVStrauss (r = 0.237, P = 0.163). In contrast to theoretical assumptions, changes of mTBV were poorly correlated with changes of Hb concentrations and some patients displayed unanticipated variability of mRCV, suggesting an unstable intravascular red cell pool. CONCLUSIONS: Changes of Hb or Hct were not reflective of directly measured changes of intravascular volume status in AHF patients. Basing clinical assessment of decongestion on changes of Hb or Hct may misguide clinical decision-making on an individual patient level.

The Role of Centrosome Distal Appendage Proteins (DAPs) in Nephronophthisis and Ciliogenesis.

The primary cilium is found in most mammalian cells and plays a functional role in tissue homeostasis and organ development by modulating key signaling pathways. Ciliopathies are a group of genetically heterogeneous disorders resulting from defects in cilia development and function. Patients with ciliopathic disorders exhibit a range of phenotypes that include nephronophthisis (NPHP), a progressive tubulointerstitial kidney disease that commonly results in end-stage renal disease (ESRD). In recent years, distal appendages (DAPs), which radially project from the distal end of the mother centriole, have been shown to play a vital role in primary ciliary vesicle docking and the initiation of ciliogenesis. Mutations in the genes encoding these proteins can result in either a complete loss of the primary cilium, abnormal ciliary formation, or defective ciliary signaling. DAPs deficiency in humans or mice commonly results in NPHP. In this review, we outline recent advances in our understanding of the molecular functions of DAPs and how they participate in nephronophthisis development.

Nuclei Isolation from Adult Mouse Kidney for Single-Nucleus RNA-Sequencing.

The kidneys regulate diverse biological processes such as water, electrolyte, and acid-base homeostasis. Physiological functions of the kidney are executed by multiple cell types arranged in a complex architecture across the corticomedullary axis of the organ. Recent advances in single-cell transcriptomics have accelerated the understanding of cell type-specific gene expression in renal physiology and disease. However, enzyme-based tissue dissociation protocols, which are frequently utilized for single-cell RNA-sequencing (scRNA-seq), require mostly fresh (non-archived) tissue, introduce transcriptional stress responses, and favor the selection of abundant cell types of the kidney cortex resulting in an underrepresentation of cells of the medulla. Here, we present a protocol that avoids these problems. The protocol is based on nuclei isolation at 4 °C from frozen kidney tissue. Nuclei are isolated from a central piece of the mouse kidney comprised of the cortex, outer medulla, and inner medulla. This reduces the overrepresentation of cortical cells typical for whole-kidney samples for the benefit of medullary cells such that data will represent the entire corticomedullary axis at sufficient abundance. The protocol is simple, rapid, and adaptable and provides a step towards the standardization of single-nuclei transcriptomics in kidney research.

[Acute kidney injury - Update 2021]. / Akute Nierenschädigung ­ Update 2021.

One in five hospitalized patients suffers acute kidney injury (AKI). Depending on its severity, AKI is associated with an up to 15-fold increased risk of mortality and constitutes a major risk factor for subsequent cardiovascular events and for the development of chronic kidney disease. This concise review summarizes recently published studies, focusing on 1.) automated AKI detection using electronic health records-based AKI alert systems, 2.) renal replacement therapy and its optimal timing and anticoagulation regimen, and 3.) coronavirus disease-2019 (COVID-19) associated AKI.

Serum creatinine and cystatin C-based estimates of glomerular filtration rate are misleading in acute heart failure.

AIMS: We aimed to test whether the endogenous filtration markers serum creatinine or cystatin C and equation-based estimates of glomerular filtration rate (GFR) based on these markers appropriately reflect changes of measured GFR in patients with acute heart failure. METHODS: In this prospective cohort study of 50 hospitalized acute heart failure patients undergoing decongestive therapy, we applied an intravenous visible fluorescent injectate (VFI), consisting of a low molecular weight component to measure GFR and a high molecular weight component to correct for measured plasma volume. Thirty-eight patients had two sequential GFR measurements 48 h apart. The co-primary endpoints of the study were safety of VFI and plasma stability of the high molecular weight component. A key secondary endpoint was to compare changes in measured GFR (mGFR) to changes of serum creatinine, cystatin C and estimated GFR. RESULTS: VFI-based GFR measurements were safe and consistent with plasma stability of the high molecular weight component and glomerular filtration of the low molecular weight component. Filtration marker-based point estimates of GFR, when compared with mGFR, provided only moderate correlation (Pearson's r, range 0.80-0.88, depending on equation used), precision (r2 , range 0.65-0.78) and accuracy (56%-74% of estimates scored within 30% of mGFR). Correlations of 48-h changes GFR estimates and changes of mGFR were significant (P < 0.05) but weak (Pearson's r, range 0.35-0.39). Observed decreases of eGFR by more than 15% had a low sensitivity (range 38%-46%, depending on equation used) in detecting true worsening mGFR, defined by a >15% decrease in mGFR. CONCLUSIONS: In patients hospitalized for acute heart failure, serum creatinine- and cystatin C-based predictions performed poorly in detecting actual changes of GFR. These data challenge current clinical strategies to evaluate dynamics of kidney function in acute heart failure.