Publications
Goal
To explain how mass spectrometry (MS), especially spatially resolved methods like mass spectrometry imaging (MSI), can be used to study molecules in kidney tissue and provide insights into kidney function and disease progression.
Results
The review outlines how MS and MSI are being applied in kidney research, highlights how different types of molecules (like proteins, lipids, and drugs) are detected and analyzed, and explains the technical considerations involved. It also discusses how MS data can be integrated with other types of data (like gene expression) to get a more complete picture of kidney health and disease.
Implications for Patients
These advanced MS techniques help researchers better understand what’s happening in the kidney at the cellular level. This knowledge could lead to earlier detection of kidney disease, more precise diagnoses, and potentially more targeted and effective treatments in the future.
Goal:
The study aimed to assess the effectiveness of machine learning algorithms for automatically classifying kidney cell types using single-cell and single-nucleus RNA sequencing data.
Results:
We analyzed data from 62,120 cells across 79 kidney biopsy samples using five machine learning models. The models achieved high accuracy in cell type classification, with a median F1 score of 0.94, demonstrating their potential to streamline the annotation process.
Implications:
These findings can significantly reduce the manual effort needed for kidney cell type annotation, leading to faster and more consistent research outcomes in kidney disease diagnosis and treatment.
Goal:
This review describes the major cell states defined in the Kidney Precision Medicine Project's (KPMP) scRNA-seq atlas. The review then identifies the overlap between KPMP and other seminal works which may use different nomenclature or cluster proximal tubule cells at different resolutions to define cell state subtypes. The goal is for the reader to understand the key transcriptomic markers of important cellular injury and regeneration processes across this highly dynamic and evolving field.
Results:
This is a review article. There are no results.
Implications for Patients:
This article raises awareness of the KPMP defined cell states.
Goal: This study sought to define mRNA and miRNA correlations and map miRNA signatures back to the KPMP Atlas v1.
Results: mRNA analysis revealed that Ref tissues exhibited an injury signature similar to AKI, and not identified in MCD samples. The transcriptomic signature of human AKI was enriched in pathways involved in cell adhesion, epithelial-to-mesenchymal transition, and cell cycle arrest (e.g., CDH6, ITGB6, CDKN1A). In AKI, upregulation of miR-146a, miR-155, miR-142, miR-122 was associated with pathways involved in immune cell recruitment, inflammation, and epithelial-to-mesenchymal transition. miR-122 and miR-146 are associated with downregulation of DDR2 and IGFBP6, genes involved in recovery and progression of kidney disease.
Implications for Patients: The data provide integrated miRNA signatures that complement mRNA and other epigenetic data available in the KPMP kidney atlas.
In this study, we explored plasma proteins that could help identify acute tubular injury (ATI), a condition that can occur in various kidney diseases and may lead to kidney failure. We identified 156 proteins in the Boston Kidney Biopsy Cohort that were closely linked to ATI, with three proteins—osteopontin, macrophage mannose receptor 1, and tenascin C—standing out as having the strongest associations with the severity of injury. To understand these findings in more detail, we combined data from different sources, including tissue and cell-level analysis from KPMP, to see how these proteins are produced and how they function in the body. We also validated our results using data from other studies, including KPMP. Our analysis highlighted the roles of immune system activity and cellular stress responses in ATI. This work could lead to new, non-invasive tests for early detection of ATI and help guide the development of new treatments.
Much of the activity andfunction of proteins in our bodies is dictated by small molecules that becomeattached to these much bigger biomolecules. Glycans are highly branched sugarmolecules that make up one such class of molecules that can attach to proteins,a process termed protein glycosylation. Glycans play a crucial role in manybiological processes, including cell-cell interaction, immune response, andprotein stability. Our study examined changes in specific glycans withinproteins in the small units of the kidney that clean blood (glomeruli) thatoccur in patients with diabetic kidney disease. We found distinct chemicaldifferences in the sugar residues (glycans) that decorate these proteins indiseased glomeruli versus healthy ones. Our findings were further validated bymeasuring and comparing our data with other KPMP data that measure the RNA andproteins responsible for making these glycans, which were also different indiseased glomeruli compared to healthy ones. We plan to explore this further,as these differences in glycan composition could be potential biomarkers forthe onset of disease.
We conducted a study on blood proteins, metabolites, and the development of kidney disease. We analyzed data from a large cohort, the Chronic Renal Insufficiency Cohort (CRIC) Study, identifying clusters of closely related proteins and metabolites. Several clusters were associated with kidney disease progression, including decline in kidney function and kidney failure, and suggest that transmembrane-ephrin receptor activity protects against progression of kidney disease and that genes expressed in podocytes play a crucial role in disease progression. Our study shows that combining proteomics and metabolomics can reveal previously underappreciated molecules and will guide future studies towards a better understanding of pathophysiologic mechanisms in kidney disease on the pathway level.
Goal: Thisstudy sought to define regions of gene activation or repression that controlhuman kidney cells in states of health, injury, and repair to understand themolecular pathogenesis of kidney disease.
Results: Thestudy measures dual single nucleus RNA expression and chromatin accessibility,DNA methylation, and H3K27ac, H3K4me1, H3K4me3, and H3K27me3 histonemodifications to decipher the chromatin landscape and gene regulation of thekidney in reference and adaptive injury states. We establish aspatially-anchored epigenomic atlas to define the kidney's active, silent, andregulatory accessible chromatin regions across the genome. Using this atlas, wenote distinct control of adaptive injury in different epithelial cell types. Aproximal tubule cell transcription factor network of ELF3, KLF6, and KLF10regulates the transition between health and injury, while in thick ascendinglimb cells this transition is regulated by NR2F1. Further, combinedperturbation of ELF3, KLF6, and KLF10 distinguishes two adaptive proximaltubular cell subtypes, one of which manifested a repair trajectory afterknockout.
Implications forPatients: Cell injury states have been shown to correlatewith CKD progression. This study attempts to understand how cells transitionfrom health to injury and what genes control that transition. Thiscorresponding atlas will serve as a foundation to facilitate targetedcell-specific therapeutics by reprogramming gene regulatory networks.
Goal:Scientists led by Angela Victoria-Castro and Celia Pamela Corona-Villabolos wanted to understand how people feel about kidney biopsies in the Kidney Precision Medicine Project. They aimed to learn about the emotions and physical experiences of participants during and after the biopsy, as well as the reasons why they decided to be part of the project.
Results:The study found that kidney biopsies can be emotionally challenging, causing anxiety for participants. People shared feelings of discomfort during and after the biopsy. Clear communication and informed consent were highlighted as crucial for participants to feel more at ease. The study also uncovered different reasons motivating people to join the project, providing valuable insights for improving the process.
Implications for Patients:For patients, this research shows that scientists care about their experiences. By understanding the emotional and physical impact of kidney biopsies, doctors can make the process more comfortable. The findings emphasize the importance of clear communication and ensuring patients have all the information they need before joining such studies, with the ultimate goal of improving the overall experience for patients in medical studies and making healthcare more patient-centered.
Chronic kidney disease (CKD) and acute kidney injury (AKI) are heterogeneous syndromes defined clinically by serial measures of kidney function. Each condition possesses strong histopathologic associations including glomerular obsolescence or acute tubular necrosis, respectively. Despite such characterization, there remains wide variation in patient outcomes and treatment responses. Precision medicine efforts, as exemplified by the Kidney Precision Medicine Project (KPMP), have begun to establish evolving, spatially-anchored, cellular and molecular atlases of the cell types, states and niches of the kidney in health and disease. The KPMP atlas provides molecular context for CKD and AKI disease drivers, and will help define subtypes of disease that are not readily apparent from canonical functional or histopathologic characterization, but instead appreciable through advanced clinical phenotyping, pathomic, transcriptomic, proteomic, epigenomic, and metabolomic interrogation of kidney biopsy samples. This perspective outlines the structure of the KPMP, its approach to the integration of these diverse datasets, and its major outputs relevant to future patient care.
Patients hospitalized with COVID-19 are at increased risk for long-term adverse health outcomes, but not all patients suffer long-term kidney dysfunction. Identification of patients with COVID-19 who are at high risk for adverse kidney events may have important implications in terms of nephrology follow-up and patient counseling. In this study, we found that the plasma biomarkers soluble tumor necrosis factor receptor 1 (sTNFR1) and sTNFR2 measured in hospitalized patients with COVID-19 were associated with a greater risk of adverse kidney outcomes. Along with clinical variables previously shown to predict adverse kidney events in patients with COVID-19, both sTNFR1 and sTNFR2 are also strong predictors of adverse kidney outcomes.
The utility of kidney biopsy is debated among clinicians, and patients’ perspectives are even less explored. To address these gaps, we synthesized perspectives from clinicians and patient participants of the Kidney Precision Medicine Project (KPMP). Both before and after biopsy, clinicians were surveyed on how the procedure affected their clinical management, diagnosis, and prognosis. After biopsy, participants shared how the procedure affected their diagnosis, medication, and lifestyle changes. Clinicians and patients shared an appreciation for the biopsy’s impact on medical management but diverged in their takeaways on diagnosis and prognosis. These findings highlight the need for greater collaboration between patients and clinicians, particularly as they navigate shared decision-making when considering kidney biopsy
Kidney stone disease causes significant morbidity and increases health care utilization. In this work, we decipher the cellular and molecular niche of the human renal papilla in patients with calcium oxalate (CaOx) stone disease and healthy subjects. In addition to identifying cell types important in papillary physiology, we characterize collecting duct cell subtypes and an undifferentiated epithelial cell type that was more prevalent in stone patients. Despite the focal nature of mineral deposition in nephrolithiasis, we uncover a global injury signature characterized by immune activation, oxidative stress and extracellular matrix remodeling. We also identify the association of MMP7 and MMP9 expression with stone disease and mineral deposition, respectively. MMP7 and MMP9 are significantly increased in the urine of patients with CaOx stone disease, and their levels correlate with disease activity. Our results define the spatial molecular landscape and specific pathways contributing to stone-mediated injury in the human papilla and identify associated urinary biomarkers.
Key points: Two genetic variants in the DISP1-TLR5 gene locus were associated with risk of AKI. DISP1 and TLR5 were differentially regulated in kidney biopsy tissue from patients with AKI compared with no AKI.
Goal: To explore a case of acute kidney injury (AKI) in a pregnant woman, presumed to be related to NSAID use, who underwent kidney biopsy, pairing standard pathological investigation with newer, molecular methods to interrogate the kidney tissue.
Results: the standard pathological results showed evidence of acute tubular injury, without significant scarring in other parts of the kidney. However, the molecular investigation, looking at protein signatures in the kidney tissue, showed evidence of inflammation and scarring in the kidney that was not clearly evident on pathology.
Implications for patients: This case of AKI highlights how the molecular evaluation of kidney tissue performed by investigators in the KPMP adds significant, additional information beyond standard investigation done currently in clinical practice. These new methods add further precision to the diagnosis of AKI and hold promise for future clinical use.
Goal: Artificial intelligence (AI) is the ability of a computer to conduct complex tasks that humans are capable of performing. AI is useful in the field of pathology, which involves analyzing images of the microscopic structure of different tissues. However, AI can be difficult to setup and apply to the task. One specific task, segmentation, involves picking specific structures out of tissue images and is a prime candidate for automation with AI.
Results: In our study, we have created a tool for pathology image segmentation which runs in the cloud (is accessible over the web). We demonstrate the tool by using it to segment various structures from kidney tissue.
Implication for Patients: Our experiments show that the tool is easy to use, accurate, and can estimate the presence of one type of scarring as reliably as human experts. Doctors will be able to use our tool to consult patient diagnosis over the web with other colleagues, and offer objective diagnosis with the help of AI.
Kidney Precision Medicine Project (KPMP) is building a spatially-specified human tissue atlas at the single-cell resolution with molecular details of the kidney in health and disease. Here, we describe the construction of an integrated reference tissue map of cells, pathways and genes using unaffected regions of nephrectomy tissues and undiseased human biopsies from 55 subjects. We use single-cell and -nucleus transcriptomics, subsegmental laser microdissection bulk transcriptomics and proteomics, near-single-cell proteomics, 3-D nondestructive and CODEX imaging, and spatial metabolomics data to hierarchically identify genes, pathways and cells. Integrated data from these different technologies coherently describe cell types/subtypes within different nephron segments and interstitium. These spatial profiles identify cell-level functional organization of the kidney tissue as indicative of their physiological functions and map different cell subtypes to genes, proteins, metabolites and pathways. Comparison of transcellular sodium reabsorption along the nephron to levels of mRNAs encoding the different sodium transporter genes indicate that mRNA levels are largely congruent with physiological activity.This reference atlas provides an initial framework for molecular classification of kidney disease when multiple molecular mechanisms underlie convergent clinical phenotypes.
Goal: The goal of this study was to link the KPMP's molecular data to established clinical and pathologic assessments, providing a complete and individualized interpretation of a subject's kidney biopsy specimen.
Result: Despite a lack of overt pathologic evidence of diabetic kidney disease, early molecular features of diabetes were found within the kidney, consistent with the subject's clinical diagnosis.
Implication for patients: This is the first published example of the KPMP integrating molecular information into the clinical and pathologic evaluation of an individual patient's kidney disease.
Goal: To definemolecular and cellular features in a biopsy from an AKI patient using singlenucleus / cell RNA sequencing methods in conjunction with detailed histopathologicalanalysis and clinical course in order to gain mechanistic insights intocellular diversity, injury states, and clinical outcome.
Results: The molecular studies reveal remarkable cellularheterogeneity and presence of alteredcell states reflecting cellular injury and repair in a number of proximal and distal nephron celltypes, blood vessels, fibroblasts and immune cell. Correlates of the injured and regeneratingcells were identified by histopathology including features of regeneration, tubularinjury and remodeling in this patient. By leveraging the KPPMP+HuBMAP master kidney atlas, the molecularanalysis further permitted identification of genes and pathways associated withadaptive / maladaptive repair. Signatures associated with NSAID use were detected in altered tubuleseven after discontinuation of these medicines.
Implication for Patients: The molecular and pathologicalanalysis enables assessment of injury and repair processes and etiology of AKIat the time of the biopsy. Identificationof pathways that may be predictive of recovery or worsening kidney function canbe useful in assessing prognosis. Asmore of these datasets are obtained, we may be able to have a knowledge base torelate these pathways with clinical outcomes and potentially use therapeuticdrugs to inhibit those related to worsening kidney function.
Goal: Participation in the Kidney Precision Medicine Project(KPMP) means undergoing kidney biopsy and while the KPMP safety protocols are intended to minimize risk of this procedure, participants nonetheless accept some personal risk.
Results: Design and implementation of the KPMP has involved substantial ethical deliberation, and in this article, we use this experience as an example to understand the ethical foundation and implications of research that involves risk to participants.
Implication for Patients: Specifically, efforts to respect diverse participant values, support participants’ opportunity to act altruistically, and enhancing benefits to participants’ community are critical features of the KPMP research paradigm needed to respect and support participant in research that involves some personal risk.
Goal: In our paper (https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0258103), we tested three implementations of a tissue registration user interface (one on a 2D screen, two in virtual reality or VR) with regards to accuracy, completion time, and satisfaction with 42 human subjects.
Results: We found that while the VR implementations allow user to be significantly faster, more satisfied, and more accurate with regards to rotation, there was no difference regarding position accuracy, once again showing the viability of 2D interfaces for registering human tissue block inside 3D reference organs.
Implications for patients: Our incremental research and development towards accurate, quick, and satisfying 2D tissue registration enables the continued improvement of the user interfaces for building a Human Reference Atlas (https://hubmapconsortium.github.io/ccf/) in HuBMAP (https://commonfund.nih.gov/hubmap) with the goal of mapping the human body at single-cell level.
Rationale & Objective: Although kidney biopsy is a useful tool, nephrologists’ approach toward biopsies is inconsistent for reasons incompletely understood, including lack of established clinical guidelines. We examined contemporary clinical decision-making patterns among nephrologists to perform native kidney biopsy. Study Design: Qualitative study using semistructured interviews. Results: Twenty nephrologists were interviewed: 16 (80%) were from academic centers, 3 (15%) performed their own biopsies, and 7 (35%) had been in practice for less than 10 years. The median time of practice was 14 years. We found substantial variability among the nephrologists in their attitude toward using kidney biopsy, which reflected individual differences in weighing the risks and benefits of the procedure for an individual patient. Five overarching themes were identified: operator comfort with biopsy and availability of interventional radiologist, exposure to biopsy during training and years of experience, concerns about the invasiveness of biopsy and inflicting harm, perception of evidence base and limited treatment options, and patient characteristics and preference. Conclusions: Multiple factors influence nephrologists’ decision to pursue kidney biopsy, with substantial variability among nephrologists that can have meaningful clinical implications. This suggests the need to establish consensus guidelines to make biopsy practice more standardized.
Goal: Kidney fibrosis can result in structural damage and impairment of kidney function but non-invasive biomarkers (e.g., proteins measured in a patient’s blood or urine) to assess kidney fibrosis are currently not available.
Results: In this study, we identified SMOC2, PEDF, and CDH11 as promising new biomarker proteins that may be used to estimate the degree of fibrosis in patients with kidney disease and identify patients at high risk of kidney disease progression.
Implication for Patients: These biomarkers may be used as markers of response to treatment, for example facilitating the investigation of new therapies that are under development for the treatment of kidney fibrosis
Goal: To develop a widely applicable way to stratify kidney disease severity. Chronic kidney damage is assessed by scoring the amount of interstitial fibrosis and tubular atrophy (IFTA) in a renal biopsy sample.
Results: A novel Artificial Intelligence (AI) tool was developed to predict the grade of IFTA, a known structural correlate of progressive and chronic kidney disease.
Implication for Patients: Having a computer model that can mimic an expert pathologist's workflow and assess disease grade can further the potential to increase efficiency in clinical practices. AI models that can automatically score the extent of chronic damage in the kidney can serve as a second opinion tool in clinical practices.
Goal: Describe the objectives and study design of the Kidney Precision Medicine Project, and the rationale for kidney precision medicine.
Results: This investigation focuses on kidney diseases that are most prevalent and therefore substantially burden the public health, including CKD attributed to diabetes or hypertension and AKI attributed to ischemic and toxic injuries.
Implication for Patients: All data from the Kidney Precision Medicine Project will be made readily available for broad use by scientists, clinicians, and patients.
Goal: To guide scientific inquiry toward clinically meaningful benefit, patients are equal partners for priority setting, study design and conduct, and dissemination of findings.
Results: Patient partners in the Community Engagement Committee led the development of the informed consent process, the ethics statement, the return-of-results plan, a “patient primer” for scientists, and community advisory boards at the recruitment sites.
Implication for Patients: Patients’ viewpoints and priorities have been central in directing the KPMP to produce research that brings clinically meaningful benefit to them.
Goal: Idiopathic nodular mesangial sclerosis, also called idiopathic nodular glomerulosclerosis (ING), is a rare clinical entity with an unclear pathogenesis.
Results: The hallmark of this disease is the presence of nodular mesangial sclerosis on histology without clinical evidence of diabetes kidney disease (DKD) or other predisposing diagnoses.
Implication for Patients: Despite similar clinical and histopathologic characteristics in ING and DKD, the uncovered transcriptomic signature suggests that ING has distinct molecular features from nodular DKD.
INTRODUCTIONAcute kidney injury and chronic kidney disease (CKD) are common in hospitalized patients. To inform clinical decision making, more accurate information regarding risk of long-term progression to kidney failure is required.METHODSWe enrolled 1538 hospitalized patients in a multicenter, prospective cohort study. Monocyte chemoattractant protein 1 (MCP-1/CCL2), uromodulin (UMOD), and YKL-40 (CHI3L1) were measured in urine samples collected during outpatient follow-up at 3 months. We followed patients for a median of 4.3 years and assessed the relationship between biomarker levels and changes in estimated glomerular filtration rate (eGFR) over time and the development of a composite kidney outcome (CKD incidence, CKD progression, or end-stage renal disease). We paired these clinical studies with investigations in mouse models of renal atrophy and renal repair to further understand the molecular basis of these markers in kidney disease progression.RESULTSHigher MCP-1 and YKL-40 levels were associated with greater eGFR decline and increased incidence of the composite renal outcome, whereas higher UMOD levels were associated with smaller eGFR declines and decreased incidence of the composite kidney outcome. A multimarker score increased prognostic accuracy and reclassification compared with traditional clinical variables alone. The mouse model of renal atrophy showed greater Ccl2 and Chi3l1 mRNA expression in infiltrating macrophages and neutrophils, respectively, and evidence of progressive renal fibrosis compared with the repair model. The repair model showed greater Umod expression in the loop of Henle and correspondingly less fibrosis.CONCLUSIONSBiomarker levels at 3 months after hospitalization identify patients at risk for kidney disease progression.
Goal: Describe patient and community engagement and the value they bring to the KPMP.
Results: The Community Engagement Committee guides KPMP research priorities from perspectives of patients and clinicians, and assures that the science is developed and conducted in a manner relevant to study participants and the clinical community.
Implications for Patients: Patients have guided the KPMP to produce research aligned with their priorities, and set new benchmarks for patient leadership in precision medicine research.
Goal: The goal was to study Proximal Tubular and Glomerular proteins using laser capture microdissection followed by mass spectrometry.
Results: We established near single-cell proteomics protocol kidney tissue and identified more than 2,500 human proteins of which 25 proteins) were specific to proximal tubules and 67 were specific to glomerulus (Glom; n = 67 proteins) regions.
Implication for Patients: This near-single-cell proteomics workflow can be extended to other kidney micro-compartments which ultimately will help understand changes in the proteomic landscape of normal kidneys as well as different etiologies of acute and chronic kidney disease.
Goal: To model the kidney disease using ontology.
Results: The development of two new community-based ontologies — the Kidney Tissue Atlas Ontology and the Ontology of Precision Medicine and Investigation —supports the creation of the Kidney Tissue Atlas, which aims to provide a comprehensive molecular, cellular and anatomical map of the kidney, leading to more advanced kidney disease modeling and analysis.
Implication for Patients: The usage of ontology supports the standard data integration and analysis of kidney precision medicine.
Goal: We sought to understand the optimal storage conditions for spatial lipidomic analysis of human kidney tissue sections, as it is common practice to share tissue among the consortium and between tissue interrogation sites.
Results: Overall, we found that molecular degradation of the tissue sections was unavoidable over time, regardless of storage conditions, but storing tissue sections in an inert gas at low temperatures can curtail molecular degradation within tissue sections.
Implications for Patients: By storing kidney tissue sections under these optimal conditions we can maximize the molecular readout from the kidney biopsies.
Interviews with three individuals who have been affected by kidney failure for their views on the importance of understanding the drivers of kidney disease, and what they hope might be achieved with this information.
Goal: The goal of this research was to develop a reliable and robust optimization strategy for our spatial metabolomics assay’s sample preparation steps that could be utilized universally for different tissue types.
Results: Through development of a novel experimental design coupled with mathematical modeling, we can optimize sample preparation for spatial metabolomics (via matrix-assisted laser desorption/ionization mass spectrometry imaging) with minimal time and tissue utilization.
Implication for Patients: This approach will ensure that we will obtain the highest quality spatial metabolomics data from the invaluable KPMP tissue biopsies.
Goal: To profile the diverse molecular cell type composition of human kidneys, we developed a reproducible method for isolating and sequencing RNA transcripts within single kidney nuclei.
Results: This enabled gene expression profiling of cell types spanning the major functional units of the kidney with minimal processing artifacts.
Implication for Patients: Using this approach, our analysis portrays remarkable cellular and molecular heterogeneity and insights into kidney organization, function and disease.
Goal: To reflect on two NIDDK consortia and the benefits of community-engaged research to nephrology.
Results: Putting patients first and meaningfully involving them in nephrology research as full partners may increase research relevance and efficiency, with particular benefits for studies addressing underserved or minority populations.
Implication for Patients: Inclusion of the patient and community perspective across the spectrum of nephrology research may benefit patients, investigators, and the nephrology field as a whole.
Goal: A review article covering the effects of GLP-1 receptor agonists on the diabetic kidney from clinical trial data to basic science and preclinical studies.
Results: These data set the stage for understanding mechanistic underpinnings, inclusive of tissue interrogation akin to KPMP, for kidney protection by GLP-1 receptor agonists.
Implication for Patients: Linking kidney disease mechanisms to therapeutic interventions helps to identify individuals who may benefit from a specific therapy.
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