Browsing by Author "Ferreira, Ricardo Melo"
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Item A spatially anchored transcriptomic atlas of the human kidney papilla identifies significant immune injury in patients with stone disease(Nature, 2023-07-19) Canela, Victor Hugo; Bowen, William S.; Ferreira, Ricardo Melo; Syed, Farooq; Lingeman, James E.; Sabo, Angela R.; Barwinska, Daria; Winfree, Seth; Lake, Blue B.; Cheng, Ying-Hua; Gaut, Joseph P.; Ferkowicz, Michael; LaFavers, Kaice A.; Zhang, Kun; Coe, Fredric L.; Worcester, Elaine; Jain, Sanjay; Eadon, Michael T.; Williams, James C., Jr.; El-Achkar, Tarek M.; Urology, School of MedicineKidney 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.Item Alterations in Protein Translation and Carboxylic Acid Catabolic Processes in Diabetic Kidney Disease(MDPI, 2022-03-30) Collins, Kimberly S.; Eadon, Michael T.; Cheng, Ying-Hua; Barwinska, Daria; Ferreira, Ricardo Melo; McCarthy, Thomas W.; Janosevic, Danielle; Syed, Farooq; Maier, Bernhard; El-Achkar, Tarek M.; Kelly, Katherine J.; Phillips, Carrie L.; Hato, Takashi; Sutton, Timothy A.; Dagher, Pierre C.; Medicine, School of MedicineDiabetic kidney disease (DKD) remains the leading cause of end-stage kidney disease despite decades of study. Alterations in the glomerulus and kidney tubules both contribute to the pathogenesis of DKD although the majority of investigative efforts have focused on the glomerulus. We sought to examine the differential expression signature of human DKD in the glomerulus and proximal tubule and corroborate our findings in the db/db mouse model of diabetes. A transcriptogram network analysis of RNAseq data from laser microdissected (LMD) human glomerulus and proximal tubule of DKD and reference nephrectomy samples revealed enriched pathways including rhodopsin-like receptors, olfactory signaling, and ribosome (protein translation) in the proximal tubule of human DKD biopsy samples. The translation pathway was also enriched in the glomerulus. Increased translation in diabetic kidneys was validated using polyribosomal profiling in the db/db mouse model of diabetes. Using single nuclear RNA sequencing (snRNAseq) of kidneys from db/db mice, we prioritized additional pathways identified in human DKD. The top overlapping pathway identified in the murine snRNAseq proximal tubule clusters and the human LMD proximal tubule compartment was carboxylic acid catabolism. Using ultra-performance liquid chromatography-mass spectrometry, the fatty acid catabolism pathway was also found to be dysregulated in the db/db mouse model. The Acetyl-CoA metabolite was down-regulated in db/db mice, aligning with the human differential expression of the genes ACOX1 and ACACB. In summary, our findings demonstrate that proximal tubular alterations in protein translation and carboxylic acid catabolism are key features in both human and murine DKD.Item An atlas of healthy and injured cell states and niches in the human kidney(Springer Nature, 2023) Lake, Blue B.; Menon, Rajasree; Winfree, Seth; Hu, Qiwen; Ferreira, Ricardo Melo; Kalhor, Kian; Barwinska, Daria; Otto, Edgar A.; Ferkowicz, Michael; Diep, Dinh; Plongthongkum, Nongluk; Knoten, Amanda; Urata, Sarah; Mariani, Laura H.; Naik, Abhijit S.; Eddy, Sean; Zhang, Bo; Wu, Yan; Salamon, Diane; Williams, James C.; Wang, Xin; Balderrama, Karol S.; Hoover, Paul J.; Murray, Evan; Marshall, Jamie L.; Noel, Teia; Vijayan, Anitha; Hartman, Austin; Chen, Fei; Waikar, Sushrut S.; Rosas, Sylvia E.; Wilson, Francis P.; Palevsky, Paul M.; Kiryluk, Krzysztof; Sedor, John R.; Toto, Robert D.; Parikh, Chirag R.; Kim, Eric H.; Satija, Rahul; Greka, Anna; Macosko, Evan Z.; Kharchenko, Peter V.; Gaut, Joseph P.; Hodgin, Jeffrey B.; KPMP Consortium; Eadon, Michael T.; Dagher, Pierre C.; El-Achkar, Tarek M.; Zhang, Kun; Kretzler, Matthias; Jain, Sanjay; Medicine, School of MedicineUnderstanding kidney disease relies on defining the complexity of cell types and states, their associated molecular profiles and interactions within tissue neighbourhoods1. Here we applied multiple single-cell and single-nucleus assays (>400,000 nuclei or cells) and spatial imaging technologies to a broad spectrum of healthy reference kidneys (45 donors) and diseased kidneys (48 patients). This has provided a high-resolution cellular atlas of 51 main cell types, which include rare and previously undescribed cell populations. The multi-omic approach provides detailed transcriptomic profiles, regulatory factors and spatial localizations spanning the entire kidney. We also define 28 cellular states across nephron segments and interstitium that were altered in kidney injury, encompassing cycling, adaptive (successful or maladaptive repair), transitioning and degenerative states. Molecular signatures permitted the localization of these states within injury neighbourhoods using spatial transcriptomics, while large-scale 3D imaging analysis (around 1.2 million neighbourhoods) provided corresponding linkages to active immune responses. These analyses defined biological pathways that are relevant to injury time-course and niches, including signatures underlying epithelial repair that predicted maladaptive states associated with a decline in kidney function. This integrated multimodal spatial cell atlas of healthy and diseased human kidneys represents a comprehensive benchmark of cellular states, neighbourhoods, outcome-associated signatures and publicly available interactive visualizations.Item Clinical, histopathologic and molecular features of idiopathic and diabetic nodular mesangial sclerosis in humans(Oxford University Press, 2021) Eadon, Michael T.; Lampe, Sam; Baig, Mirza M.; Collins, Kimberly S.; Ferreira, Ricardo Melo; Mang, Henry; Cheng, Ying-Hua; Barwinska, Daria; El-Achkar, Tarek M.; Schwantes-An, Tae-Hwi; Winfree, Seth; Temm, Constance J.; Ferkowicz, Michael J.; Dunn, Kenneth W.; Kelly, Katherine J.; Sutton, Timothy A.; Moe, Sharon M.; Moorthi, Ranjani N.; Phillips, Carrie L.; Dagher, Pierre C.; Medicine, School of MedicineBackground: Idiopathic nodular mesangial sclerosis, also called idiopathic nodular glomerulosclerosis (ING), is a rare clinical entity with an unclear pathogenesis. The hallmark of this disease is the presence of nodular mesangial sclerosis on histology without clinical evidence of diabetes mellitus or other predisposing diagnoses. To achieve insights into its pathogenesis, we queried the clinical, histopathologic and transcriptomic features of ING and nodular diabetic nephropathy (DN). Methods: All renal biopsy reports accessioned at Indiana University Health from 2001 to 2016 were reviewed to identify 48 ING cases. Clinical and histopathologic features were compared between individuals with ING and DN (n = 751). Glomeruli of ING (n = 5), DN (n = 18) and reference (REF) nephrectomy (n = 9) samples were isolated by laser microdissection and RNA was sequenced. Immunohistochemistry of proline-rich 36 (PRR36) protein was performed. Results: ING subjects were frequently hypertensive (95.8%) with a smoking history (66.7%). ING subjects were older, had lower proteinuria and had less hyaline arteriolosclerosis than DN subjects. Butanoate metabolism was an enriched pathway in ING samples compared with either REF or DN samples. The top differentially expressed gene, PRR36, had increased expression in glomeruli 248-fold [false discovery rate (FDR) P = 5.93 × 10-6] compared with the REF and increased 109-fold (FDR P = 1.85 × 10-6) compared with DN samples. Immunohistochemistry revealed a reduced proportion of cells with perinuclear reaction in ING samples as compared to DN. Conclusions: Despite similar clinical and histopathologic characteristics in ING and DN, the uncovered transcriptomic signature suggests that ING has distinct molecular features from nodular DN. Further study is warranted to understand these relationships.Item Deconvolution Tactics and Normalization in Renal Spatial Transcriptomics(Frontiers Media, 2022-01-13) Ferreira, Ricardo Melo; Freije, Benjamin J.; Eadon, Michael T.; Medicine, School of MedicineThe kidney is composed of heterogeneous groups of epithelial, endothelial, immune, and stromal cells, all in close anatomic proximity. Spatial transcriptomic technologies allow the interrogation of in situ expression signatures in health and disease, overlaid upon a histologic image. However, some spatial gene expression platforms have not yet reached single-cell resolution. As such, deconvolution of spatial transcriptomic spots is important to understand the proportion of cell signature arising from these varied cell types in each spot. This article reviews the various deconvolution strategies discussed in the 2021 Indiana O’Brien Center for Microscopy workshop. The unique features of Seurat transfer score methodology, SPOTlight, Robust Cell Type Decomposition, and BayesSpace are reviewed. The application of normalization and batch effect correction across spatial transcriptomic samples is also discussed.Item FUSION: A web-based application for in-depth exploration of multi-omics data with brightfield histology(bioRxiv, 2024-08-22) Border, Samuel; Ferreira, Ricardo Melo; Lucarelli, Nicholas; Manthey, David; Kumar, Suhas; Paul, Anindya; Mimar, Sayat; Naglah, Ahmed; Cheng, Ying-Hua; Barisoni, Laura; Ray, Jessica; Strekalova, Yulia; Rosenberg, Avi Z.; Tomaszewski, John E.; Hodgin, Jeffrey B.; HuBMAP consortium; El-Achkar, Tarek M.; Jain, Sanjay; Eadon, Michael T.; Sarder, Pinaki; Medicine, School of MedicineSpatial -OMICS technologies facilitate the interrogation of molecular profiles in the context of the underlying histopathology and tissue microenvironment. Paired analysis of histopathology and molecular data can provide pathologists with otherwise unobtainable insights into biological mechanisms. To connect the disparate molecular and histopathologic features into a single workspace, we developed FUSION (Functional Unit State IdentificatiON in WSIs [Whole Slide Images]), a web-based tool that provides users with a broad array of visualization and analytical tools including deep learning-based algorithms for in-depth interrogation of spatial -OMICS datasets and their associated high-resolution histology images. FUSION enables end-to-end analysis of functional tissue units (FTUs), automatically aggregating underlying molecular data to provide a histopathology-based medium for analyzing healthy and altered cell states and driving new discoveries using "pathomic" features. We demonstrate FUSION using 10x Visium spatial transcriptomics (ST) data from both formalin-fixed paraffin embedded (FFPE) and frozen prepared datasets consisting of healthy and diseased tissue. Through several use-cases, we demonstrate how users can identify spatial linkages between quantitative pathomics, qualitative image characteristics, and spatial --omics.Item Inhibition of Tacrolimus Metabolism by Cannabidiol and Its Metabolites In Vitro(Wiley, 2025) So, Gerald C.; Lu, Jessica Bo Li; Cheng, Ying-Hua; Gisch, Debora L.; Koyama, Sachiko; Ferreira, Ricardo Melo; Beamon, Travis R.; Desta, Zeruesenay; Eadon, Michael T.; Medicine, School of MedicineDrug interactions are major causes of interindividual variability in tacrolimus exposure and effect. Tacrolimus, a widely used drug in transplant patients, is metabolized by CYP3A4 and CYP3A5. Cannabidiol (CBD) use after transplant is common. Clinical cases suggest CBD may alter tacrolimus exposure, but the mechanism of this interaction is unknown. We hypothesize that cannabidiol will inhibit tacrolimus metabolism in vitro mainly through CYP3A5 inhibition. In pooled human liver microsomes (HLMs) and recombinant (r) CYP3A4 and CYP3A5 enzymes, tacrolimus (1 μM) metabolism was determined using substrate depletion method in the absence (control) and the presence of 10 μM CBD, 7-hydroxyCBD, and 7-carboxyCBD. Ketoconazole (1 μM) served as a positive control for the inhibition of CYP3A. Linear regression analyses were performed to obtain kinetic parameters of the depletion. Tacrolimus depletion half-life was 2.54, 0.922, and 0.351 min with pooled HLMs, rCYP3A4, and rCYP3A5, respectively. In pooled HLMs, CBD and 7-hydroxyCBD increased tacrolimus half-life by 0.8- and 2.3-fold (both p < 0.0001), respectively. In rCYP3A4, CBD, 7-hydroxyCBD, and ketoconazole prolonged tacrolimus half-life by 5.8-, 14-, and 7.7-fold, respectively. In rCYP3A5, CBD, 7-hydroxyCBD, and ketoconazole prolonged half-life by 29.3-, 19.7-, and 0.1-fold, respectively. In all experiments, 7-carboxyCBD had minimal effect on tacrolimus depletion. CBD and 7-hydroxyCBD inhibited tacrolimus metabolism in vitro. CBD showed stronger inhibition in rCYP3A5 than rCYP3A4. The demonstrated CYP3A5 selectivity of cannabidiol may contribute to the in vitro identification of CYP3A5 substrates in new drug development. Our results support the potential of a clinical drug-drug interaction between CBD and tacrolimus.Item Integration of spatial and single-cell transcriptomics localizes epithelial cell–immune cross-talk in kidney injury(American Society for Clinical Investigation, 2021-06-22) Ferreira, Ricardo Melo; Sabo, Angela R.; Winfree, Seth; Collins, Kimberly S.; Janosevic, Danielle; Gulbronson, Connor J.; Cheng, Ying-Hua; Casbon, Lauren; Barwinska, Daria; Ferkowicz, Michael J.; Xuei, Xiaoling; Zhang, Chi; Dunn, Kenneth W.; Kelly, Katherine J.; Sutton, Timothy A.; Hato, Takashi; Dagher, Pierre C.; El-Achkar, Tarek M.; Eadon, Michael T.; Medicine, School of MedicineSingle-cell sequencing studies have characterized the transcriptomic signature of cell types within the kidney. However, the spatial distribution of acute kidney injury (AKI) is regional and affects cells heterogeneously. We first optimized coordination of spatial transcriptomics and single-nuclear sequencing data sets, mapping 30 dominant cell types to a human nephrectomy. The predicted cell-type spots corresponded with the underlying histopathology. To study the implications of AKI on transcript expression, we then characterized the spatial transcriptomic signature of 2 murine AKI models: ischemia/reperfusion injury (IRI) and cecal ligation puncture (CLP). Localized regions of reduced overall expression were associated with injury pathways. Using single-cell sequencing, we deconvoluted the signature of each spatial transcriptomic spot, identifying patterns of colocalization between immune and epithelial cells. Neutrophils infiltrated the renal medulla in the ischemia model. Atf3 was identified as a chemotactic factor in S3 proximal tubules. In the CLP model, infiltrating macrophages dominated the outer cortical signature, and Mdk was identified as a corresponding chemotactic factor. The regional distribution of these immune cells was validated with multiplexed CO-Detection by indEXing (CODEX) immunofluorescence. Spatial transcriptomic sequencing complemented single-cell sequencing by uncovering mechanisms driving immune cell infiltration and detection of relevant cell subpopulations.Item Molecular characterization of the human kidney interstitium in health and disease(American Association for the Advancement of Science, 2021-02-10) Barwinska, Daria; El-Achkar, Tarek M.; Ferreira, Ricardo Melo; Syed, Farooq; Cheng, Ying-Hua; Winfree, Seth; Ferkowicz, Michael J.; Hato, Takashi; Collins, Kimberly S.; Dunn, Kenneth W.; Kelly, Katherine J.; Sutton, Timothy A.; Rovin, Brad H.; Parikh, Samir V.; Phillips, Carrie L.; Dagher, Pierre C.; Eadon, Michael T.; Medicine, School of MedicineThe gene expression signature of the human kidney interstitium is incompletely understood. The cortical interstitium (excluding tubules, glomeruli, and vessels) in reference nephrectomies (N = 9) and diabetic kidney biopsy specimens (N = 6) was laser microdissected (LMD) and sequenced. Samples underwent RNA sequencing. Gene signatures were deconvolved using single nuclear RNA sequencing (snRNAseq) data derived from overlapping specimens. Interstitial LMD transcriptomics uncovered previously unidentified markers including KISS1, validated with in situ hybridization. LMD transcriptomics and snRNAseq revealed strong correlation of gene expression within corresponding kidney regions. Relevant enriched interstitial pathways included G-protein coupled receptor. binding and collagen biosynthesis. The diabetic interstitium was enriched for extracellular matrix organization and small-molecule catabolism. Cell type markers with unchanged expression (NOTCH3, EGFR, and HEG1) and those down-regulated in diabetic nephropathy (MYH11, LUM, and CCDC3) were identified. LMD transcriptomics complements snRNAseq; together, they facilitate mapping of interstitial marker genes to aid interpretation of pathophysiology in precision medicine studies.Item Molecular Signatures of Glomerular Neovascularization in a Patient with Diabetic Kidney Disease(Wolters Kluwer, 2024) Ferkowicz, Michael J.; Verma, Ashish; Barwinska, Daria; Ferreira, Ricardo Melo; Henderson, Joel M.; Kirkpatrick, Mary; Silva, Paolo S.; Steenkamp, Devin W.; Phillips, Carrie L.; Waikar, Sushrut S.; Sutton, Timothy A.; Kidney Precision Medicine Project; Medicine, School of MedicineThe Kidney Precision Medicine Project (KPMP) aims to create a kidney tissue atlas, define disease subgroups, and identify critical cells, pathways, and targets for novel therapies through molecular investigation of human kidney biopsies obtained from participants with AKI or CKD. We present the case of a 66-year-old woman with diabetic kidney disease who underwent a protocol KPMP kidney biopsy. Her clinical history included diabetes mellitus complicated by neuropathy and eye disease, increased insulin resistance, hypertension, albuminuria, and relatively preserved glomerular filtration rate (early CKD stage 3a). The patient's histopathology was consistent with diabetic nephropathy and arterial and arteriolar sclerosis. Three-dimensional, immunofluorescence imaging of the kidney biopsy specimen revealed extensive periglomerular neovascularization that was underestimated by standard histopathologic approaches. Spatial transcriptomics was performed to obtain gene expression signatures at discrete areas of the kidney biopsy. Gene expression in the areas of glomerular neovascularization revealed increased expression of genes involved in angiogenic signaling, proliferation, and survival of endothelial cells, as well as new vessel maturation and stability. This molecular correlation provides additional insights into the development of kidney disease in patients with diabetes and spotlights how novel molecular techniques used by the KPMP can supplement and enrich the histopathologic diagnosis obtained from a kidney biopsy.