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Zhou L, Lu X, Wang X, Huang Z, Wu Y, Zhou L, Meng L, Fu Q, Xia L, Meng S. A Pilot Urinary Proteome Study Reveals Widespread Influences of Circadian Rhythm Disruption by Sleep Deprivation. Appl Biochem Biotechnol 2024; 196:1992-2011. [PMID: 37458940 DOI: 10.1007/s12010-023-04666-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/04/2023] [Indexed: 04/23/2024]
Abstract
It is widely accepted that circadian rhythm disruption caused short- or long-term adverse effects on health. Although many previous studies have focused on exploration of the molecular mechanisms, there is no rapid, convenient, and non-invasive method to reveal the influence on health after circadian rhythm disruption. Here, we performed a high-resolution mass spectrometry-based data-independent acquisition (DIA) quantitative urinary proteomic approach in order to explore whether urine could reveal stress changes to those brought about by circadian rhythm disruption after sleep deprivation. After sleep deprivation, the subjects showed a significant increase in both systolic and diastolic blood pressure compared with routine sleep. More than 2000 proteins were quantified and they contained specific proteins for various organs throughout the body. And a total of 177 significantly up-regulated proteins and 68 significantly down-regulated proteins were obtained after sleep deprivation. These differentially expressed proteins (DEPs) were associated with multiple organs and pathways, which reflected widespread influences of sleep deprivation. Besides, machine learning identified a panel of five DEPs (CD300A, SCAMP3, TXN2, EFEMP1, and MYH11) that can effectively discriminate circadian rhythm disruption. Taken together, our results validate the value of urinary proteome in predicting and diagnosing the changes by circadian rhythm disruption.
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Affiliation(s)
- Li Zhou
- Department of Core Facility of Basic Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xinyu Lu
- Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xiaoling Wang
- Department of Core Facility of Basic Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Zhixi Huang
- Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yunzhe Wu
- Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Liyang Zhou
- Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Liyuan Meng
- Department of Core Facility of Basic Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Qin Fu
- Department of Core Facility of Basic Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Li Xia
- Department of Core Facility of Basic Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Shuang Meng
- Department of Core Facility of Basic Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
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2
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Yang G, Yang B, Wang S, Liang X, Li C, Zhang Y, Zhang X, Chang X, Meng X. Cloning grass carp (Ctenopharyngodon idella) ccdc3 and its expression affected by nutrition state, insulin, and glucagon. JOURNAL OF FISH BIOLOGY 2024; 104:624-632. [PMID: 37943095 DOI: 10.1111/jfb.15614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 09/28/2023] [Accepted: 11/08/2023] [Indexed: 11/10/2023]
Abstract
As an adipokine, coiled-coil domain-containing 3 (CCDC3) plays multiple physiological roles in fatty liver, lipid metabolism, and abdominal obesity. Grass carp was selected as the experimental animal in this study to investigate the roles of Ccdc3 in teleosts. Results showed that the open reading frame (ORF) of cloned ccdc3 was 831 bp and encoded 276 amino acids. Three N-glycosylation sites and a predicted coiled-coil domain motif were located in the identified Ccdc3. Moreover, a nuclear localization signal (NLS) was contained in the coiled-coil domain motif of the identified Ccdc3. The results on tissue distribution revealed that ccdc3 was highly detected in grass carp fat and brain tissue. In the oral glucose tolerance test (OGTT), the expression of ccdc3 increased remarkably in the brain, hypothalamus, and visceral fat in the glucose treatment group. In the fasting and refeeding experiment, the ccdc3 expression levels were remarkably reduced in the brain, hypothalamus, and visceral fat after 14 days of fasting. In the refeeding group, the ccdc3 expression levels were considerably elevated compared with those in the fasting group. In the induced overfeeding experiment, the ccdc3 expression increased remarkably in the hepatopancreas, brain, and visceral fat tissues. The ccdc3 expression in the primary hepatocytes was remarkably increased with glucose, oleic acid, and insulin treatment. However, ccdc3 expression was markedly decreased with glucagon treatment. In conclusion, these results indicate that Ccdc3 is involved in regulating glucose and lipid metabolism of teleosts.
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Affiliation(s)
- Guokun Yang
- College of Fisheries, Henan Normal University, Xinxiang, PR China
- Engineering Technology Research Center of Henan Province for Aquatic Animal Cultivation, Henan Normal University, Xinxiang, PR China
| | - Boya Yang
- College of Fisheries, Henan Normal University, Xinxiang, PR China
| | - Sunan Wang
- College of Fisheries, Henan Normal University, Xinxiang, PR China
| | - Xiaomin Liang
- College of Fisheries, Henan Normal University, Xinxiang, PR China
| | - Chengquan Li
- College of Fisheries, Henan Normal University, Xinxiang, PR China
| | - Yanmin Zhang
- College of Fisheries, Henan Normal University, Xinxiang, PR China
- Engineering Technology Research Center of Henan Province for Aquatic Animal Cultivation, Henan Normal University, Xinxiang, PR China
| | - Xindang Zhang
- College of Fisheries, Henan Normal University, Xinxiang, PR China
- Engineering Technology Research Center of Henan Province for Aquatic Animal Cultivation, Henan Normal University, Xinxiang, PR China
| | - Xulu Chang
- College of Fisheries, Henan Normal University, Xinxiang, PR China
- Engineering Technology Research Center of Henan Province for Aquatic Animal Cultivation, Henan Normal University, Xinxiang, PR China
| | - Xiaolin Meng
- College of Fisheries, Henan Normal University, Xinxiang, PR China
- Engineering Technology Research Center of Henan Province for Aquatic Animal Cultivation, Henan Normal University, Xinxiang, PR China
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3
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Apodaca G. Defining the molecular fingerprint of bladder and kidney fibroblasts. Am J Physiol Renal Physiol 2023; 325:F826-F856. [PMID: 37823192 PMCID: PMC10886799 DOI: 10.1152/ajprenal.00284.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 10/04/2023] [Accepted: 10/06/2023] [Indexed: 10/13/2023] Open
Abstract
Fibroblasts are integral to the organization and function of all organs and play critical roles in pathologies such as fibrosis; however, we have limited understanding of the fibroblasts that populate the bladder and kidney. In this review, I describe how transcriptomics is leading to a revolution in our understanding of fibroblast biology by defining the molecular fingerprint (i.e., transcriptome) of universal and specialized fibroblast types, revealing gene signatures that allows one to resolve fibroblasts from other mesenchymal cell types, and providing a new comprehension of the fibroblast lineage. In the kidney, transcriptomics is giving us new insights into the molecular fingerprint of kidney fibroblasts, including those for cortical fibroblasts, medullary fibroblasts, and erythropoietin (EPO)-producing Norn fibroblasts, as well as new information about the gene signatures of kidney myofibroblasts and the transition of kidney fibroblasts into myofibroblasts. Transcriptomics has also revealed that the major cell type in the bladder interstitium is the fibroblast, and that multiple fibroblast types, each with their own molecular fingerprint, are found in the bladder wall. Interleaved throughout is a discussion of how transcriptomics can drive our future understanding of fibroblast identification, diversity, function, and their roles in bladder and kidney biology and physiology in health and in disease states.
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Affiliation(s)
- Gerard Apodaca
- Renal-Electrolyte Division, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States
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4
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Heruye S, Myslinski J, Zeng C, Zollman A, Makino S, Nanamatsu A, Mir Q, Janga SC, Doud EH, Eadon MT, Maier B, Hamada M, Tran TM, Dagher PC, Hato T. Inflammation primes the kidney for recovery by activating AZIN1 A-to-I editing. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.09.566426. [PMID: 37986799 PMCID: PMC10659426 DOI: 10.1101/2023.11.09.566426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
The progression of kidney disease varies among individuals, but a general methodology to quantify disease timelines is lacking. Particularly challenging is the task of determining the potential for recovery from acute kidney injury following various insults. Here, we report that quantitation of post-transcriptional adenosine-to-inosine (A-to-I) RNA editing offers a distinct genome-wide signature, enabling the delineation of disease trajectories in the kidney. A well-defined murine model of endotoxemia permitted the identification of the origin and extent of A-to-I editing, along with temporally discrete signatures of double-stranded RNA stress and Adenosine Deaminase isoform switching. We found that A-to-I editing of Antizyme Inhibitor 1 (AZIN1), a positive regulator of polyamine biosynthesis, serves as a particularly useful temporal landmark during endotoxemia. Our data indicate that AZIN1 A-to-I editing, triggered by preceding inflammation, primes the kidney and activates endogenous recovery mechanisms. By comparing genetically modified human cell lines and mice locked in either A-to-I edited or uneditable states, we uncovered that AZIN1 A-to-I editing not only enhances polyamine biosynthesis but also engages glycolysis and nicotinamide biosynthesis to drive the recovery phenotype. Our findings implicate that quantifying AZIN1 A-to-I editing could potentially identify individuals who have transitioned to an endogenous recovery phase. This phase would reflect their past inflammation and indicate their potential for future recovery.
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Affiliation(s)
- Segewkal Heruye
- Department of Medicine, Indiana University School of Medicine
| | - Jered Myslinski
- Department of Medicine, Indiana University School of Medicine
| | - Chao Zeng
- Faculty of Science and Engineering, Waseda University, Tokyo
| | - Amy Zollman
- Department of Medicine, Indiana University School of Medicine
| | - Shinichi Makino
- Department of Medicine, Indiana University School of Medicine
| | - Azuma Nanamatsu
- Department of Medicine, Indiana University School of Medicine
| | - Quoseena Mir
- Luddy School of Informatics, Computing, and Engineering, Indiana University
| | | | - Emma H Doud
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine
| | - Michael T Eadon
- Department of Medicine, Indiana University School of Medicine
| | - Bernhard Maier
- Department of Medicine, Indiana University School of Medicine
| | - Michiaki Hamada
- Faculty of Science and Engineering, Waseda University, Tokyo
- AIST-Waseda University Computational Bio Big-Data Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology, Tokyo
- Graduate School of Medicine, Nippon Medical School, Tokyo
| | - Tuan M Tran
- Department of Medicine, Indiana University School of Medicine
- Richard L. Roudebush Veterans Affairs Medical Center, Indianapolis
| | - Pierre C Dagher
- Department of Medicine, Indiana University School of Medicine
| | - Takashi Hato
- Department of Medicine, Indiana University School of Medicine
- Richard L. Roudebush Veterans Affairs Medical Center, Indianapolis
- Department of Medical and Molecular Genetics, Indiana University School of Medicine
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5
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Nordbø OP, Landolt L, Eikrem Ø, Scherer A, Leh S, Furriol J, Apeland T, Mydel P, Marti H. Transcriptomic analysis reveals partial epithelial-mesenchymal transition and inflammation as common pathogenic mechanisms in hypertensive nephrosclerosis and Type 2 diabetic nephropathy. Physiol Rep 2023; 11:e15825. [PMID: 37813528 PMCID: PMC10562137 DOI: 10.14814/phy2.15825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 08/28/2023] [Accepted: 09/04/2023] [Indexed: 10/12/2023] Open
Abstract
Hypertensive nephrosclerosis (HN) and Type 2 diabetic nephropathy (T2DN) are the leading causes of chronic kidney disease (CKD). To explore shared pathogenetic mechanisms, we analyzed transcriptomes of kidney biopsies from patients with HN or T2DN. Total RNA was extracted from 10 μm whole kidney sections from patients with HN, T2DN, and normal controls (Ctrl) (n = 6 for each group) and processed for RNA sequencing. Differentially expressed (log2 fold change >1, adjusted p < 0.05) genes (DEG) and molecular pathways were analyzed, and selected results were validated by immunohistochemistry (IHC). ELISA on serum samples was performed on a related cohort consisting of patients with biopsy-proven HN (n = 13) and DN (n = 9), and a normal control group (n = 14). Cluster analysis on RNA sequencing data separated diseased and normal tissues. RNA sequencing revealed that 88% (341 out of 384) of DEG in HN were also altered in T2DN, while gene set enrichment analysis (GSEA) showed that over 90% of affected molecular pathways, including those related to inflammation, immune response, and cell-cycle regulation, were similarly impacted in both HN and T2DN samples. The increased expression of genes tied to interleukin signaling and lymphocyte activation was more pronounced in HN, while genes associated with extracellular matrix organization were more evident in T2DN. Both HN and T2DN tissues exhibited significant upregulation of genes connected with inflammatory responses, T-cell activity, and partial epithelial to mesenchymal transition (p-EMT). Immunohistochemistry (IHC) further confirmed T-cell (CD4+ and CD8+ ) infiltration in the diseased tissues. Additionally, IHC revealed heightened AXL protein expression, a key regulator of inflammation and p-EMT, in both HN and T2DN, while serum analysis indicated elevated soluble AXL levels in patients with both conditions. These findings underline the shared molecular mechanisms between HN and T2DN, hinting at the potential for common therapeutic strategies targeting both diseases.
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Affiliation(s)
- Ole Petter Nordbø
- Department of Clinical MedicineUniversity of BergenBergenNorway
- Department of Medicine, Haugesund HospitalHelse FonnaHaugesundNorway
| | - Lea Landolt
- Department of Clinical MedicineUniversity of BergenBergenNorway
- Department of MedicineHaukeland University HospitalBergenNorway
| | - Øystein Eikrem
- Department of Clinical ScienceUniversity of BergenBergenNorway
| | | | - Sabine Leh
- Department of Clinical MedicineUniversity of BergenBergenNorway
- Department of PathologyHaukeland University HospitalBergenNorway
| | - Jessica Furriol
- Department of Clinical MedicineUniversity of BergenBergenNorway
| | | | - Piotr Mydel
- Department of Clinical MedicineUniversity of BergenBergenNorway
- Department of MedicineHaukeland University HospitalBergenNorway
| | - Hans‐Peter Marti
- Department of Clinical MedicineUniversity of BergenBergenNorway
- Department of MedicineHaukeland University HospitalBergenNorway
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6
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Khalil NN, Petersen AP, Song CJ, Chen Y, Takamoto K, Kellogg AC, Chen EZ, McMahon AP, McCain ML. User-friendly microfluidic system reveals native-like morphological and transcriptomic phenotypes induced by shear stress in proximal tubule epithelium. APL Bioeng 2023; 7:036106. [PMID: 37584027 PMCID: PMC10424157 DOI: 10.1063/5.0143614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 07/24/2023] [Indexed: 08/17/2023] Open
Abstract
Drug-induced nephrotoxicity is a leading cause of drug attrition, partly due to the limited relevance of pre-clinical models of the proximal tubule. Culturing proximal tubule epithelial cells (PTECs) under fluid flow to mimic physiological shear stress has been shown to improve select phenotypes, but existing flow systems are expensive and difficult to implement by non-experts in microfluidics. Here, we designed and fabricated an accessible and modular flow system for culturing PTECs under physiological shear stress, which induced native-like cuboidal morphology, downregulated pathways associated with hypoxia, stress, and injury, and upregulated xenobiotic metabolism pathways. We also compared the expression profiles of shear-dependent genes in our in vitro PTEC tissues to that of ex vivo proximal tubules and observed stronger clustering between ex vivo proximal tubules and PTECs under physiological shear stress relative to PTECs under negligible shear stress. Together, these data illustrate the utility of our user-friendly flow system and highlight the role of shear stress in promoting native-like morphological and transcriptomic phenotypes in PTECs in vitro, which is critical for developing more relevant pre-clinical models of the proximal tubule for drug screening or disease modeling.
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Affiliation(s)
- Natalie N. Khalil
- Alfred E. Mann Department of Biomedical Engineering, USC Viterbi School of Engineering, University of Southern California, Los Angeles, California 90089, USA
| | - Andrew P. Petersen
- Alfred E. Mann Department of Biomedical Engineering, USC Viterbi School of Engineering, University of Southern California, Los Angeles, California 90089, USA
| | | | - Yibu Chen
- USC Libraries Bioinformatics Service, University of Southern California, Los Angeles, California 90089, USA
| | - Kaelyn Takamoto
- Alfred E. Mann Department of Biomedical Engineering, USC Viterbi School of Engineering, University of Southern California, Los Angeles, California 90089, USA
| | - Austin C. Kellogg
- Alfred E. Mann Department of Biomedical Engineering, USC Viterbi School of Engineering, University of Southern California, Los Angeles, California 90089, USA
| | - Elaine Zhelan Chen
- Alfred E. Mann Department of Biomedical Engineering, USC Viterbi School of Engineering, University of Southern California, Los Angeles, California 90089, USA
| | | | - Megan L. McCain
- Author to whom correspondence should be addressed:. Tel.: +1 2138210791. URL:https://livingsystemsengineering.usc.edu
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7
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Canela VH, Bowen WS, Ferreira RM, Syed F, Lingeman JE, Sabo AR, Barwinska D, Winfree S, Lake BB, Cheng YH, Gaut JP, Ferkowicz M, LaFavers KA, Zhang K, Coe FL, Worcester E, Jain S, Eadon MT, Williams JC, El-Achkar TM. A spatially anchored transcriptomic atlas of the human kidney papilla identifies significant immune injury in patients with stone disease. Nat Commun 2023; 14:4140. [PMID: 37468493 PMCID: PMC10356953 DOI: 10.1038/s41467-023-38975-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 05/24/2023] [Indexed: 07/21/2023] Open
Abstract
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.
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Affiliation(s)
- Victor Hugo Canela
- Department of Anatomy, Cell Biology and Physiology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - William S Bowen
- Department of Medicine, Division of Nephrology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Ricardo Melo Ferreira
- Department of Medicine, Division of Nephrology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Farooq Syed
- Center for Diabetes and Metabolic Diseases, Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN, USA
| | - James E Lingeman
- Department of Urology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Angela R Sabo
- Department of Anatomy, Cell Biology and Physiology, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Medicine, Division of Nephrology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Daria Barwinska
- Department of Medicine, Division of Nephrology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Seth Winfree
- Department of Anatomy, Cell Biology and Physiology, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE, USA
| | - Blue B Lake
- San Diego Institute of Science, Altos Labs, San Diego, CA, USA
| | - Ying-Hua Cheng
- Department of Medicine, Division of Nephrology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Joseph P Gaut
- Department of Pathology and Immunology, Washington University, St. Louis, MO, USA
| | - Michael Ferkowicz
- Department of Medicine, Division of Nephrology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Kaice A LaFavers
- Department of Medicine, Division of Nephrology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Kun Zhang
- San Diego Institute of Science, Altos Labs, San Diego, CA, USA
| | - Fredric L Coe
- Department of Medicine, Division of Nephrology, University of Chicago, Chicago, IL, USA
| | - Elaine Worcester
- Department of Medicine, Division of Nephrology, University of Chicago, Chicago, IL, USA
| | - Sanjay Jain
- Department of Medicine, Division of Nephrology, Washington University, St. Louis, MO, USA.
| | - Michael T Eadon
- Department of Medicine, Division of Nephrology, Indiana University School of Medicine, Indianapolis, IN, USA.
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.
| | - James C Williams
- Department of Anatomy, Cell Biology and Physiology, Indiana University School of Medicine, Indianapolis, IN, USA.
| | - Tarek M El-Achkar
- Department of Anatomy, Cell Biology and Physiology, Indiana University School of Medicine, Indianapolis, IN, USA.
- Department of Medicine, Division of Nephrology, Indiana University School of Medicine, Indianapolis, IN, USA.
- Department of Medicine, Indianapolis VA Medical Center, Indianapolis, IN, USA.
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8
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Tsai YC, Kuo MC, Huang JC, Chang WA, Wu LY, Huang YC, Chang CY, Lee SC, Hsu YL. Single-cell transcriptomic profiles in the pathophysiology within the microenvironment of early diabetic kidney disease. Cell Death Dis 2023; 14:442. [PMID: 37460555 DOI: 10.1038/s41419-023-05947-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 06/18/2023] [Accepted: 07/04/2023] [Indexed: 07/20/2023]
Abstract
Diabetic kidney disease (DKD) is the leading cause of end-stage kidney disease, resulting in a huge socio-economic impact. Kidney is a highly complex organ and the pathogenesis underlying kidney organization involves complex cell-to-cell interaction within the heterogeneous kidney milieu. Advanced single-cell RNA sequencing (scRNA-seq) could reveal the complex architecture and interaction with the microenvironment in early DKD. We used scRNA-seq to investigate early changes in the kidney of db/m mice and db/db mice at the 14th week. Uniform Manifold Approximation and Projection were applied to classify cells into different clusters at a proper resolution. Weighted gene co-expression network analysis was used to identify the key molecules specifically expressed in kidney tubules. Information of cell-cell communication within the kidney was obtained using receptor-ligand pairing resources. In vitro model, human subjects, and co-detection by indexing staining were used to identify the pathophysiologic role of the hub genes in DKD. Among four distinct subsets of the proximal tubule (PT), lower percentages of proliferative PT and PT containing AQP4 expression (PTAQP4+) in db/db mice induced impaired cell repair activity and dysfunction of renin-angiotensin system modulation in early DKD. We found that ferroptosis was involved in DKD progression, and ceruloplasmin acted as a central regulator of the induction of ferroptosis in PTAQP4+. In addition, lower percentages of thick ascending limbs and collecting ducts with impaired metabolism function were also critical pathogenic features in the kidney of db/db mice. Secreted phosphoprotein 1 (SPP1) mediated pathogenic cross-talk in the tubular microenvironment, as validated by a correlation between urinary SPP1/Cr level and tubular injury. Finally, mesangial cell-derived semaphorin 3C (SEMA3C) further promoted endothelium-mesenchymal transition in glomerular endothelial cells through NRP1 and NRP2, and urinary SEMA3C/Cr level was positively correlated with glomerular injury. These data identified the hub genes involved in pathophysiologic changes within the microenvironment of early DKD.
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Affiliation(s)
- Yi-Chun Tsai
- School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Division of General Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Division of Nephrology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
- Drug Development and Value Creation Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Mei-Chuan Kuo
- Division of Nephrology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Juan-Chi Huang
- Division of Nephrology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Wei-An Chang
- Division of Pulmonary and Critical Care Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ling-Yu Wu
- Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yung-Chi Huang
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Taiwan, Kaohsiung, Taiwan
| | - Chao-Yuan Chang
- Department of Anatomy, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Su-Chu Lee
- Division of Nephrology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ya-Ling Hsu
- Drug Development and Value Creation Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan.
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Taiwan, Kaohsiung, Taiwan.
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9
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Gisch DL, Brennan M, Lake BB, Basta J, Keller M, Ferreira RM, Akilesh S, Ghag R, Lu C, Cheng YH, Collins KS, Parikh SV, Rovin BH, Robbins L, Conklin KY, Diep D, Zhang B, Knoten A, Barwinska D, Asghari M, Sabo AR, Ferkowicz MJ, Sutton TA, Kelly KJ, Boer IHD, Rosas SE, Kiryluk K, Hodgin JB, Alakwaa F, Jefferson N, Gaut JP, Gehlenborg N, Phillips CL, El-Achkar TM, Dagher PC, Hato T, Zhang K, Himmelfarb J, Kretzler M, Mollah S, Jain S, Rauchman M, Eadon MT. The chromatin landscape of healthy and injured cell types in the human kidney. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.07.543965. [PMID: 37333123 PMCID: PMC10274789 DOI: 10.1101/2023.06.07.543965] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
There is a need to define regions of gene activation or repression that control human kidney cells in states of health, injury, and repair to understand the molecular pathogenesis of kidney disease and design therapeutic strategies. However, comprehensive integration of gene expression with epigenetic features that define regulatory elements remains a significant challenge. We measured dual single nucleus RNA expression and chromatin accessibility, DNA methylation, and H3K27ac, H3K4me1, H3K4me3, and H3K27me3 histone modifications to decipher the chromatin landscape and gene regulation of the kidney in reference and adaptive injury states. We established a comprehensive and spatially-anchored epigenomic atlas to define the kidney's active, silent, and regulatory accessible chromatin regions across the genome. Using this atlas, we noted distinct control of adaptive injury in different epithelial cell types. A proximal tubule cell transcription factor network of ELF3 , KLF6 , and KLF10 regulated the transition between health and injury, while in thick ascending limb cells this transition was regulated by NR2F1 . Further, combined perturbation of ELF3 , KLF6 , and KLF10 distinguished two adaptive proximal tubular cell subtypes, one of which manifested a repair trajectory after knockout. This atlas will serve as a foundation to facilitate targeted cell-specific therapeutics by reprogramming gene regulatory networks.
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10
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Mao ZH, Gao ZX, Liu Y, Liu DW, Liu ZS, Wu P. Single-cell transcriptomics: A new tool for studying diabetic kidney disease. Front Physiol 2023; 13:1053850. [PMID: 36685214 PMCID: PMC9846140 DOI: 10.3389/fphys.2022.1053850] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 12/16/2022] [Indexed: 01/05/2023] Open
Abstract
The kidney is a complex organ comprising various functional partitions and special cell types that play important roles in maintaining homeostasis in the body. Diabetic kidney disease (DKD) is the leading cause of end-stage renal disease and is an independent risk factor for cardiovascular diseases. Owing to the complexity and heterogeneity of kidney structure and function, the mechanism of DKD development has not been fully elucidated. Single-cell sequencing, including transcriptomics, epigenetics, metabolomics, and proteomics etc., is a powerful technology that enables the analysis of specific cell types and states, specifically expressed genes or pathways, cell differentiation trajectories, intercellular communication, and regulation or co-expression of genes in various diseases. Compared with other omics, RNA sequencing is a more developed technique with higher utilization of tissues or samples. This article reviewed the application of single-cell transcriptomics in the field of DKD and highlighted the key signaling pathways in specific tissues or cell types involved in the occurrence and development of DKD. The comprehensive understanding of single-cell transcriptomics through single-cell RNA-seq and single-nucleus RNA-seq will provide us new insights into the pathogenesis and treatment strategy of various diseases including DKD.
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Affiliation(s)
- Zi-Hui Mao
- Traditional Chinese Medicine Integrated Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China,Institute of Nephrology, Zhengzhou University, Zhengzhou, China,Henan Province Research Center for Kidney Disease, Zhengzhou, China,Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province, Zhengzhou, China
| | - Zhong-Xiuzi Gao
- Traditional Chinese Medicine Integrated Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China,Institute of Nephrology, Zhengzhou University, Zhengzhou, China,Henan Province Research Center for Kidney Disease, Zhengzhou, China,Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province, Zhengzhou, China
| | - Yong Liu
- Traditional Chinese Medicine Integrated Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China,Institute of Nephrology, Zhengzhou University, Zhengzhou, China,Henan Province Research Center for Kidney Disease, Zhengzhou, China,Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province, Zhengzhou, China
| | - Dong-Wei Liu
- Traditional Chinese Medicine Integrated Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China,Institute of Nephrology, Zhengzhou University, Zhengzhou, China,Henan Province Research Center for Kidney Disease, Zhengzhou, China,Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province, Zhengzhou, China
| | - Zhang-Suo Liu
- Traditional Chinese Medicine Integrated Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China,Institute of Nephrology, Zhengzhou University, Zhengzhou, China,Henan Province Research Center for Kidney Disease, Zhengzhou, China,Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province, Zhengzhou, China,*Correspondence: Peng Wu, ; Zhang-Suo Liu,
| | - Peng Wu
- Traditional Chinese Medicine Integrated Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China,Institute of Nephrology, Zhengzhou University, Zhengzhou, China,Henan Province Research Center for Kidney Disease, Zhengzhou, China,Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province, Zhengzhou, China,*Correspondence: Peng Wu, ; Zhang-Suo Liu,
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11
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Zhou XJ, Zhong XH, Duan LX. Integration of artificial intelligence and multi-omics in kidney diseases. FUNDAMENTAL RESEARCH 2023; 3:126-148. [PMID: 38933564 PMCID: PMC11197676 DOI: 10.1016/j.fmre.2022.01.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 12/14/2021] [Accepted: 01/24/2022] [Indexed: 10/18/2022] Open
Abstract
Kidney disease is a leading cause of death worldwide. Currently, the diagnosis of kidney diseases and the grading of their severity are mainly based on clinical features, which do not reveal the underlying molecular pathways. More recent surge of ∼omics studies has greatly catalyzed disease research. The advent of artificial intelligence (AI) has opened the avenue for the efficient integration and interpretation of big datasets for discovering clinically actionable knowledge. This review discusses how AI and multi-omics can be applied and integrated, to offer opportunities to develop novel diagnostic and therapeutic means in kidney diseases. The combination of new technology and novel analysis pipelines can lead to breakthroughs in expanding our understanding of disease pathogenesis, shedding new light on biomarkers and disease classification, as well as providing possibilities of precise treatment.
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Affiliation(s)
- Xu-Jie Zhou
- Renal Division, Peking University First Hospital, Beijing 100034, China
- Kidney Genetics Center, Peking University Institute of Nephrology, Beijing 100034, China
- Key Laboratory of Renal Disease, Ministry of Health of China, Beijing 100034, China
- Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education, Beijing 100034, China
| | - Xu-Hui Zhong
- Department of Pediatrics, Peking University First Hospital, Beijing, China
| | - Li-Xin Duan
- The Big Data Research Center, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu 611731, China
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12
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Limonte CP, Kretzler M, Pennathur S, Pop-Busui R, de Boer IH. Present and future directions in diabetic kidney disease. J Diabetes Complications 2022; 36:108357. [PMID: 36403478 PMCID: PMC9764992 DOI: 10.1016/j.jdiacomp.2022.108357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 10/28/2022] [Accepted: 11/05/2022] [Indexed: 11/16/2022]
Abstract
Diabetic kidney disease (DKD) is the leading cause of kidney failure and is associated with substantial risk of cardiovascular disease, morbidity, and mortality. Traditionally, DKD prevention and management have focused on addressing hyperglycemia, hypertension, obesity, and renin-angiotensin system activation as important risk factors for disease. Over the last decade, sodium-glucose cotransporter-2 inhibitors and glucagon-like peptide-1 receptor agonists have been shown to meaningfully reduce risk of diabetes-related kidney and cardiovascular complications. Additional agents demonstrating benefit in DKD such as non-steroidal mineralocorticoid receptor antagonists and endothelin A receptor antagonists are further contributing to the growing arsenal of DKD therapies. With the availability of greater therapeutic options comes the opportunity to individually optimize DKD prevention and management. Novel applications of transcriptomic, proteomic, and metabolomic/lipidomic technologies, as well as use of artificial intelligence and reinforced learning methods through consortia such as the Kidney Precision Medicine Project and focused studies in established cohorts hold tremendous promise for advancing our understanding and treatment of DKD. Specifically, enhanced understanding of the molecular mechanisms underlying DKD pathophysiology may allow for the identification of new mechanism-based DKD subtypes and the development and implementation of targeted therapies. Implementation of personalized care approaches has the potential to revolutionize DKD care.
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Affiliation(s)
- Christine P Limonte
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA, USA; Kidney Research Institute, University of Washington, Seattle, WA, USA.
| | - Matthias Kretzler
- Division of Nephrology, University of Michigan, Ann Arbor, MI, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Subramaniam Pennathur
- Division of Nephrology, University of Michigan, Ann Arbor, MI, USA; Michigan Regional Comprehensive Metabolomics Resource Core, Ann Arbor, MI, USA; Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA
| | - Rodica Pop-Busui
- Department of Internal Medicine, Division of Metabolism, Endocrinology and Diabetes, University of Michigan, Ann Arbor, MI, USA
| | - Ian H de Boer
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA, USA; Kidney Research Institute, University of Washington, Seattle, WA, USA
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13
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Understanding fibrosis pathogenesis via modeling macrophage-fibroblast interplay in immune-metabolic context. Nat Commun 2022; 13:6499. [PMID: 36310236 PMCID: PMC9618579 DOI: 10.1038/s41467-022-34241-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 10/18/2022] [Indexed: 02/06/2023] Open
Abstract
Fibrosis is a progressive biological condition, leading to organ dysfunction in various clinical settings. Although fibroblasts and macrophages are known as key cellular players for fibrosis development, a comprehensive functional model that considers their interaction in the metabolic/immunologic context of fibrotic tissue has not been set up. Here we show, by transcriptome-based mathematical modeling in an in vitro system that represents macrophage-fibroblast interplay and reflects the functional effects of inflammation, hypoxia and the adaptive immune context, that irreversible fibrosis development is associated with specific combinations of metabolic and inflammatory cues. The in vitro signatures are in good alignment with transcriptomic profiles generated on laser captured glomeruli and cortical tubule-interstitial area, isolated from human transplanted kidneys with advanced stages of glomerulosclerosis and interstitial fibrosis/tubular atrophy, two clinically relevant conditions associated with organ failure in renal allografts. The model we describe here is validated on tissue based quantitative immune-phenotyping of biopsies from transplanted kidneys, demonstrating its feasibility. We conclude that the combination of in vitro and in silico modeling represents a powerful systems medicine approach to dissect fibrosis pathogenesis, applicable to specific pathological conditions, and develop coordinated targeted approaches.
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14
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Minuth WW. The interstitium at the developing nephron in the fetal kidney during advanced pregnancy - a microanatomical inventory. Mol Cell Pediatr 2022; 9:17. [PMID: 36008693 PMCID: PMC9411487 DOI: 10.1186/s40348-022-00149-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 08/15/2022] [Indexed: 11/10/2022] Open
Abstract
Background A series of noxae can evoke the termination of nephron formation in preterm and low birth weight babies. This results in oligonephropathy with severe consequences for health in the later life. Although the clinical parameters have been extensively investigated, little is known about the initial damage. Previous pathological findings indicate the reduction in width of the nephrogenic zone and the lack of S-shaped bodies. Current morphological investigations suggest that due to the mutual patterning beside the forming nephron, also its structural neighbors, particularly the interjacent interstitium, must be affected. However, beside the findings on integrative and mastering functions, systematic microanatomical data explaining the configuration of the interstitium at the developing nephron in the fetal kidney during advanced pregnancy is not available. Therefore, this work explains the typical features. Results The generated data depicts that the progenitor cells, nephrogenic niche, pretubular aggregate, and mesenchymal-to-epithelial transition are restricted to the subcapsular interstitium. During the proceeding development, only the distal pole of the renal vesicles and comma- and S-shaped bodies stays in further contact with it. The respective proximal pole is positioned opposite the peritubular interstitium at the connecting tubule of an underlying but previously formed nephron. The related medial aspect faces the narrow peritubular interstitium of a collecting duct (CD) ampulla first only at its tip, then at its head, conus, and neck, and finally at the differentiating CD tubule. The lateral aspect starts at the subcapsular interstitium, but then it is positioned along the wide perivascular interstitium of the neighboring ascending perforating radiate artery. When the nephron matures, the interstitial configuration changes again. Conclusions The present investigation illustrates that the interstitium at the forming nephron in the fetal kidney consists of existing, transient, stage-specific, and differently far matured compartments. According to the developmental needs, it changes its shape by formation, degradation, fusion, and rebuilding.
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Affiliation(s)
- Will W Minuth
- Institute of Anatomy, University of Regensburg, 93053, Regensburg, Germany.
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15
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Hansen J, Sealfon R, Menon R, Eadon MT, Lake BB, Steck B, Anjani K, Parikh S, Sigdel TK, Zhang G, Velickovic D, Barwinska D, Alexandrov T, Dobi D, Rashmi P, Otto EA, Rivera M, Rose MP, Anderton CR, Shapiro JP, Pamreddy A, Winfree S, Xiong Y, He Y, de Boer IH, Hodgin JB, Barisoni L, Naik AS, Sharma K, Sarwal MM, Zhang K, Himmelfarb J, Rovin B, El-Achkar TM, Laszik Z, He JC, Dagher PC, Valerius MT, Jain S, Satlin LM, Troyanskaya OG, Kretzler M, Iyengar R, Azeloglu EU. A reference tissue atlas for the human kidney. SCIENCE ADVANCES 2022; 8:eabn4965. [PMID: 35675394 PMCID: PMC9176741 DOI: 10.1126/sciadv.abn4965] [Citation(s) in RCA: 61] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 04/20/2022] [Indexed: 05/08/2023]
Abstract
Kidney Precision Medicine Project (KPMP) is building a spatially specified human kidney tissue atlas in health and disease with single-cell resolution. Here, we describe the construction of an integrated reference map of cells, pathways, and genes using unaffected regions of nephrectomy tissues and undiseased human biopsies from 56 adult subjects. We use single-cell/nucleus transcriptomics, subsegmental laser microdissection transcriptomics and proteomics, near-single-cell proteomics, 3D and CODEX imaging, and spatial metabolomics to hierarchically identify genes, pathways, and cells. Integrated data from these different technologies coherently identify cell types/subtypes within different nephron segments and the interstitium. These profiles describe cell-level functional organization of the kidney following its physiological functions and link cell subtypes to genes, proteins, metabolites, and pathways. They further show that messenger RNA levels along the nephron are congruent with the subsegmental physiological activity. This reference atlas provides a framework for the classification of kidney disease when multiple molecular mechanisms underlie convergent clinical phenotypes.
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Affiliation(s)
- Jens Hansen
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rachel Sealfon
- Princeton University, Princeton, NJ, USA
- Flatiron Institute, New York, NY, USA
| | - Rajasree Menon
- University of Michigan School of Medicine, Ann Arbor, MI, USA
| | | | - Blue B. Lake
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Becky Steck
- University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Kavya Anjani
- University of California San Francisco School of Medicine, San Francisco, CA, USA
| | - Samir Parikh
- Ohio State University College of Medicine, Columbus, OH, USA
| | - Tara K. Sigdel
- University of California San Francisco School of Medicine, San Francisco, CA, USA
| | - Guanshi Zhang
- University of Texas–Health San Antonio School of Medicine, San Antonio, TX, USA
| | | | - Daria Barwinska
- Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Dejan Dobi
- University of California San Francisco School of Medicine, San Francisco, CA, USA
| | - Priyanka Rashmi
- University of California San Francisco School of Medicine, San Francisco, CA, USA
| | - Edgar A. Otto
- University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Miguel Rivera
- University of California San Francisco School of Medicine, San Francisco, CA, USA
| | - Michael P. Rose
- University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Christopher R. Anderton
- University of Texas–Health San Antonio School of Medicine, San Antonio, TX, USA
- Pacific Northwest National Laboratory, Richland, WA, USA
| | - John P. Shapiro
- Ohio State University College of Medicine, Columbus, OH, USA
| | - Annapurna Pamreddy
- University of Texas–Health San Antonio School of Medicine, San Antonio, TX, USA
| | - Seth Winfree
- Indiana University School of Medicine, Indianapolis, IN, USA
| | - Yuguang Xiong
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yongqun He
- University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Ian H. de Boer
- Schools of Medicine and Public Health, University of Washington, Seattle, WA, USA
| | | | | | - Abhijit S. Naik
- University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Kumar Sharma
- University of Texas–Health San Antonio School of Medicine, San Antonio, TX, USA
| | - Minnie M. Sarwal
- University of California San Francisco School of Medicine, San Francisco, CA, USA
| | - Kun Zhang
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Jonathan Himmelfarb
- Schools of Medicine and Public Health, University of Washington, Seattle, WA, USA
| | - Brad Rovin
- Ohio State University College of Medicine, Columbus, OH, USA
| | | | - Zoltan Laszik
- University of California San Francisco School of Medicine, San Francisco, CA, USA
| | | | | | - M. Todd Valerius
- Brigham and Women’s Hospital, Harvard Medical School, Cambridge, MA, USA
| | - Sanjay Jain
- Washington University in Saint Louis School of Medicine, St. Louis, MS, USA
| | - Lisa M. Satlin
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Olga G. Troyanskaya
- Princeton University, Princeton, NJ, USA
- Flatiron Institute, New York, NY, USA
| | | | - Ravi Iyengar
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Kidney Precision Medicine Project
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Princeton University, Princeton, NJ, USA
- Flatiron Institute, New York, NY, USA
- University of Michigan School of Medicine, Ann Arbor, MI, USA
- Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
- University of California San Francisco School of Medicine, San Francisco, CA, USA
- Ohio State University College of Medicine, Columbus, OH, USA
- University of Texas–Health San Antonio School of Medicine, San Antonio, TX, USA
- Pacific Northwest National Laboratory, Richland, WA, USA
- European Molecular Biology Laboratory, Heidelberg, Germany
- Schools of Medicine and Public Health, University of Washington, Seattle, WA, USA
- Duke University School of Medicine, Durham, NC, USA
- Brigham and Women’s Hospital, Harvard Medical School, Cambridge, MA, USA
- Washington University in Saint Louis School of Medicine, St. Louis, MS, USA
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Abstract
PURPOSE OF REVIEW The application of spatial transcriptomics technologies to the interrogation of kidney tissue is a burgeoning effort. These technologies share a common purpose in mapping both the expression of individual molecules and entire transcriptomic signatures of kidney cell types and structures. Such information is often superimposed upon a histologic image. The resulting datasets are readily merged with other imaging and transcriptomic techniques to establish a spatially anchored atlas of the kidney. This review provides an overview of the various spatial transcriptomic technologies and recent studies in kidney disease. Potential applications gleaned from the interrogation of other organ systems, but relative to the kidney, are also discussed. RECENT FINDINGS Spatial transcriptomic technologies have enabled localization of whole transcriptome mRNA expression, correlation of mRNA to histology, measurement of in situ changes in expression across time, and even subcellular localization of transcripts within the kidney. These innovations continue to aid in the development of human cellular atlases of the kidney, the reclassification of disease, and the identification of important therapeutic targets. SUMMARY Spatial localization of gene expression will complement our current understanding of disease derived from single cell RNA sequencing, histopathology, protein immunofluorescence, and electron microscopy. Although spatial technologies continue to evolve rapidly, their importance in the localization of disease signatures is already apparent. Further efforts are required to integrate whole transcriptome and subcellular expression signatures into the individualized assessment of human kidney disease.
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Affiliation(s)
- Ricardo Melo Ferreira
- Department of Medicine, Division of Nephrology, Indiana University School of Medicine, Indianapolis IN, USA
| | - Debora Gisch
- Department of Medicine, Division of Nephrology, Indiana University School of Medicine, Indianapolis IN, USA
| | - Michael T. Eadon
- Department of Medicine, Division of Nephrology, Indiana University School of Medicine, Indianapolis IN, USA
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Lee Y, Singh J, Scott SR, Ellis B, Zorlutuna P, Wang M. A Recombinant Dimethylarginine Dimethylaminohydrolase-1-Based Biotherapeutics to Pharmacologically Lower Asymmetric Dimethyl Arginine, thus Improving Postischemic Cardiac Function and Cardiomyocyte Mitochondrial Activity. Mol Pharmacol 2022; 101:226-235. [PMID: 35042831 PMCID: PMC11033929 DOI: 10.1124/molpharm.121.000394] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 01/16/2022] [Indexed: 11/22/2022] Open
Abstract
High serum levels of asymmetric dimethyl arginine (ADMA) are associated with cardiovascular disease and mortality. Pharmacological agents to specifically lower ADMA and their potential impact on cardiovascular complications are not known. In this study, we aimed to investigate the effect of specific lowering of ADMA on myocardial response to ischemia-reperfusion injury (I/R) and direct effects on cardiomyocyte function. Effects of recombinant dimethylarginine dimethylaminohydrolase (rDDAH)-1 on I/R injury were determined using isolated mouse heart preparation. Respiration capacity and mitochondrial reactive oxygen species (ROS) generation were determined on mouse cardiomyocytes. Our results show that lowering ADMA by rDDAH-1 treatment resulted in improved recovery of cardiac function and reduction in myocardial infarct size in mouse heart response to I/R injury (control 22.24 ±4.60% versus rDDAH-1 15.90 ±4.23%, P < 0.01). In mouse cardiomyocytes, rDDAH-1 treatment improved ADMA-induced dysregulation of respiration capacity and decreased mitochondrial ROS. Furthermore, in human induced pluripotent stem cell (hiPSC)-derived cardiomyocytes with impaired contractility under hypoxia and high ADMA, rDDAH-1 treatment improved recovery and beating frequency (P < 0.05). rDDAH-1 treatment selectively modified I/R-induced myocardial cytokine expression, resulting in reduction in proinflammatory cytokine IL-17A (P < 0.001) and increased expression of anti-inflammatory cytokines IL-10 and IL-13 (P < 0.01). Further in vitro studies showed that IL-17A was the predominant and common cytokine modulated by ADMA-DDAH pathway in heart, cardiomyocytes, and endothelial cells. These studies show that lowering ADMA by pharmacological treatment with rDDAH-1 reduced I/R injury, improved cardiac function, and ameliorated cardiomyocyte bioenergetics and beating activity. These effects may be attributable to ADMA lowering in cardiomyocytes and preservation of cardiomyocyte mitochondrial function. SIGNIFICANCE STATEMENT: The pathological role of asymmetric dimethyl arginine (ADMA) has been demonstrated by its association with cardiovascular disease and mortality. Currently, pharmacological drugs to specifically lower ADMA are not available. The present study provides the first evidence that lowering of ADMA by recombinant recombinant dimethylarginine dimethylaminohydrolase (rDDAH)-1 improved postischemic cardiac function and cardiomyocyte bioenergetics and beating activity. Our studies suggest that lowering of ADMA by pharmacologic treatment offers opportunity to develop new therapies for the treatment of cardiovascular and renal disease.
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Affiliation(s)
- Young Lee
- Indiana Center for Biomedical Innovation, Indianapolis, Indiana (Y.L., J.S.); Indiana University School of Medicine, Indianapolis, Indiana (J.S.); Department of Surgery, Indiana University, School of Medicine, Indianapolis, Indiana (S.R.S., M.W.); Bioengineering Graduate Program (B.E., P.Z.) and Aerospace and Mechanical Engineering Department (P.Z.), University of Notre Dame, Notre Dame, Indiana; and Vasculonics LLC, Indianapolis, Indiana (J.S.)
| | - Jaipal Singh
- Indiana Center for Biomedical Innovation, Indianapolis, Indiana (Y.L., J.S.); Indiana University School of Medicine, Indianapolis, Indiana (J.S.); Department of Surgery, Indiana University, School of Medicine, Indianapolis, Indiana (S.R.S., M.W.); Bioengineering Graduate Program (B.E., P.Z.) and Aerospace and Mechanical Engineering Department (P.Z.), University of Notre Dame, Notre Dame, Indiana; and Vasculonics LLC, Indianapolis, Indiana (J.S.)
| | - Susan R Scott
- Indiana Center for Biomedical Innovation, Indianapolis, Indiana (Y.L., J.S.); Indiana University School of Medicine, Indianapolis, Indiana (J.S.); Department of Surgery, Indiana University, School of Medicine, Indianapolis, Indiana (S.R.S., M.W.); Bioengineering Graduate Program (B.E., P.Z.) and Aerospace and Mechanical Engineering Department (P.Z.), University of Notre Dame, Notre Dame, Indiana; and Vasculonics LLC, Indianapolis, Indiana (J.S.)
| | - Bradley Ellis
- Indiana Center for Biomedical Innovation, Indianapolis, Indiana (Y.L., J.S.); Indiana University School of Medicine, Indianapolis, Indiana (J.S.); Department of Surgery, Indiana University, School of Medicine, Indianapolis, Indiana (S.R.S., M.W.); Bioengineering Graduate Program (B.E., P.Z.) and Aerospace and Mechanical Engineering Department (P.Z.), University of Notre Dame, Notre Dame, Indiana; and Vasculonics LLC, Indianapolis, Indiana (J.S.)
| | - Pinar Zorlutuna
- Indiana Center for Biomedical Innovation, Indianapolis, Indiana (Y.L., J.S.); Indiana University School of Medicine, Indianapolis, Indiana (J.S.); Department of Surgery, Indiana University, School of Medicine, Indianapolis, Indiana (S.R.S., M.W.); Bioengineering Graduate Program (B.E., P.Z.) and Aerospace and Mechanical Engineering Department (P.Z.), University of Notre Dame, Notre Dame, Indiana; and Vasculonics LLC, Indianapolis, Indiana (J.S.)
| | - Meijing Wang
- Indiana Center for Biomedical Innovation, Indianapolis, Indiana (Y.L., J.S.); Indiana University School of Medicine, Indianapolis, Indiana (J.S.); Department of Surgery, Indiana University, School of Medicine, Indianapolis, Indiana (S.R.S., M.W.); Bioengineering Graduate Program (B.E., P.Z.) and Aerospace and Mechanical Engineering Department (P.Z.), University of Notre Dame, Notre Dame, Indiana; and Vasculonics LLC, Indianapolis, Indiana (J.S.)
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18
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Patel J, Torrealba JR, Poggio ED, Bebiak J, Alpers CE, Grewenow SM, Toto RD, Eadon MT. Molecular Signatures of Diabetic Kidney Disease Hiding in a Patient with Hypertension-Related Kidney Disease: A Clinical Pathologic Molecular Correlation. Clin J Am Soc Nephrol 2022; 17:594-601. [PMID: 34911732 PMCID: PMC8993486 DOI: 10.2215/cjn.10350721] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
The Kidney Precision Medicine Project (KPMP) seeks to establish a molecular atlas of the kidney in health and disease and improve our understanding of the molecular drivers of CKD and AKI. Herein, we describe the case of a 66-year-old woman with CKD who underwent a protocol KPMP kidney biopsy. Her clinical history included well-controlled diabetes mellitus, hypertension, and proteinuria. The patient's histopathology was consistent with modest hypertension-related kidney injury, without overt diabetic kidney disease. Transcriptomic signatures of the glomerulus, interstitium, and tubular subsegments were obtained from laser microdissected tissue. The molecular signatures that were uncovered revealed evidence of early diabetic kidney disease adaptation and ongoing active tubular injury with enriched pathways related to mesangial cell hypertrophy, glycosaminoglycan biosynthesis, and apoptosis. Molecular evidence of diabetic kidney disease was found across the nephron. Novel molecular assays can supplement and enrich the histopathologic diagnosis obtained from a kidney biopsy.
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Affiliation(s)
- Jiten Patel
- Division of Nephrology, Department of Medicine, University of Texas Southwestern, Dallas, Texas
| | - Jose R. Torrealba
- Department of Pathology, University of Texas Southwestern, Dallas, Texas
| | - Emilio D. Poggio
- Department of Nephrology, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio
| | - Jack Bebiak
- Division of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - Charles E. Alpers
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington
| | - Stephanie M. Grewenow
- Kidney Research Institute and Division of Nephrology, University of Washington, Seattle, Washington
| | - Robert D. Toto
- Division of Nephrology, Department of Medicine, University of Texas Southwestern, Dallas, Texas
| | - Michael T. Eadon
- Division of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana
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19
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Collins KS, Eadon MT, Cheng YH, Barwinska D, Melo Ferreira R, McCarthy TW, Janosevic D, Syed F, Maier B, El-Achkar TM, Kelly KJ, Phillips CL, Hato T, Sutton TA, Dagher PC. Alterations in Protein Translation and Carboxylic Acid Catabolic Processes in Diabetic Kidney Disease. Cells 2022; 11:cells11071166. [PMID: 35406730 PMCID: PMC8997785 DOI: 10.3390/cells11071166] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 03/22/2022] [Accepted: 03/28/2022] [Indexed: 12/27/2022] Open
Abstract
Diabetic 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.
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Affiliation(s)
- Kimberly S. Collins
- Division of Nephrology and Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (K.S.C.); (M.T.E.); (R.M.F.)
| | - Michael T. Eadon
- Division of Nephrology and Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (K.S.C.); (M.T.E.); (R.M.F.)
| | - Ying-Hua Cheng
- Division of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (Y.-H.C.); (D.B.); (T.W.M.); (D.J.); (B.M.); (T.M.E.-A.); (K.J.K.); (T.H.)
| | - Daria Barwinska
- Division of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (Y.-H.C.); (D.B.); (T.W.M.); (D.J.); (B.M.); (T.M.E.-A.); (K.J.K.); (T.H.)
| | - Ricardo Melo Ferreira
- Division of Nephrology and Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (K.S.C.); (M.T.E.); (R.M.F.)
| | - Thomas W. McCarthy
- Division of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (Y.-H.C.); (D.B.); (T.W.M.); (D.J.); (B.M.); (T.M.E.-A.); (K.J.K.); (T.H.)
| | - Danielle Janosevic
- Division of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (Y.-H.C.); (D.B.); (T.W.M.); (D.J.); (B.M.); (T.M.E.-A.); (K.J.K.); (T.H.)
| | - Farooq Syed
- Department of Pediatrics and Herman B. Wells Center, Indiana University School of Medicine, Indianapolis, IN 46202, USA;
| | - Bernhard Maier
- Division of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (Y.-H.C.); (D.B.); (T.W.M.); (D.J.); (B.M.); (T.M.E.-A.); (K.J.K.); (T.H.)
| | - Tarek M. El-Achkar
- Division of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (Y.-H.C.); (D.B.); (T.W.M.); (D.J.); (B.M.); (T.M.E.-A.); (K.J.K.); (T.H.)
| | - Katherine J. Kelly
- Division of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (Y.-H.C.); (D.B.); (T.W.M.); (D.J.); (B.M.); (T.M.E.-A.); (K.J.K.); (T.H.)
| | - Carrie L. Phillips
- Department of Pathology, Indiana University School of Medicine, Indianapolis, IN 46202, USA;
| | - Takashi Hato
- Division of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (Y.-H.C.); (D.B.); (T.W.M.); (D.J.); (B.M.); (T.M.E.-A.); (K.J.K.); (T.H.)
| | - Timothy A. Sutton
- Division of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (Y.-H.C.); (D.B.); (T.W.M.); (D.J.); (B.M.); (T.M.E.-A.); (K.J.K.); (T.H.)
- Correspondence: (T.A.S.); (P.C.D.); Tel.: +1-317-274-7543 (T.A.S.); +1-317-278-2867 (P.C.D.); Fax: 317-274-8575 (T.A.S. & P.C.D.)
| | - Pierre C. Dagher
- Division of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (Y.-H.C.); (D.B.); (T.W.M.); (D.J.); (B.M.); (T.M.E.-A.); (K.J.K.); (T.H.)
- Correspondence: (T.A.S.); (P.C.D.); Tel.: +1-317-274-7543 (T.A.S.); +1-317-278-2867 (P.C.D.); Fax: 317-274-8575 (T.A.S. & P.C.D.)
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20
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El-Achkar TM, Winfree S, Talukder N, Barwinska D, Ferkowicz MJ, Al Hasan M. Tissue Cytometry With Machine Learning in Kidney: From Small Specimens to Big Data. Front Physiol 2022; 13:832457. [PMID: 35309077 PMCID: PMC8931540 DOI: 10.3389/fphys.2022.832457] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 01/28/2022] [Indexed: 12/19/2022] Open
Abstract
Advances in cellular and molecular interrogation of kidney tissue have ushered a new era of understanding the pathogenesis of kidney disease and potentially identifying molecular targets for therapeutic intervention. Classifying cells in situ and identifying subtypes and states induced by injury is a foundational task in this context. High resolution Imaging-based approaches such as large-scale fluorescence 3D imaging offer significant advantages because they allow preservation of tissue architecture and provide a definition of the spatial context of each cell. We recently described the Volumetric Tissue Exploration and Analysis cytometry tool which enables an interactive analysis, quantitation and semiautomated classification of labeled cells in 3D image volumes. We also established and demonstrated an imaging-based classification using deep learning of cells in intact tissue using 3D nuclear staining with 4′,6-diamidino-2-phenylindole (DAPI). In this mini-review, we will discuss recent advancements in analyzing 3D imaging of kidney tissue, and how combining machine learning with cytometry is a powerful approach to leverage the depth of content provided by high resolution imaging into a highly informative analytical output. Therefore, imaging a small tissue specimen will yield big scale data that will enable cell classification in a spatial context and provide novel insights on pathological changes induced by kidney disease.
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Affiliation(s)
- Tarek M. El-Achkar
- Division of Nephrology, Department of Medicine, Indiana University, Indianapolis, IN, United States
- *Correspondence: Tarek M. El-Achkar,
| | - Seth Winfree
- Department of Pathology and Microbiology, University of Nebraska Omaha, Omaha, NE, United States
| | - Niloy Talukder
- Department of Computer and Information Science, Indiana University–Purdue University Indianapolis, Indianapolis, IN, United States
| | - Daria Barwinska
- Division of Nephrology, Department of Medicine, Indiana University, Indianapolis, IN, United States
| | - Michael J. Ferkowicz
- Division of Nephrology, Department of Medicine, Indiana University, Indianapolis, IN, United States
| | - Mohammad Al Hasan
- Department of Computer and Information Science, Indiana University–Purdue University Indianapolis, Indianapolis, IN, United States
- Mohammad Al Hasan,
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21
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Eadon MT, Dagher PC, El-Achkar TM. Cellular and molecular interrogation of kidney biopsy specimens. Curr Opin Nephrol Hypertens 2022; 31:160-167. [PMID: 34982521 PMCID: PMC8799512 DOI: 10.1097/mnh.0000000000000770] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE OF REVIEW Traditional histopathology of the kidney biopsy specimen has been an essential and successful tool for the diagnosis and staging of kidney diseases. However, it is likely that the full potential of the kidney biopsy has not been tapped so far. Indeed, there is now a concerted worldwide effort to interrogate kidney biopsy samples at the cellular and molecular levels with unprecedented rigor and depth. This review examines these novel approaches to study kidney biopsy specimens and highlights their potential to refine our understanding of the pathophysiology of kidney disease and lead to precision-based diagnosis and therapy. RECENT FINDINGS Several consortia are now active at studying kidney biopsy samples from various patient cohorts with state-of-the art cellular and molecular techniques. These include advanced imaging approaches as well as deep molecular interrogation with tools such as epigenetics, transcriptomics, proteomics and metabolomics. The emphasis throughout is on rigor, reproducibility and quality control. SUMMARY Although these techniques to study kidney biopsies are complementary, each on its own can yield novel ways to define and classify kidney disease. Therefore, great efforts are needed in order to generate an integrated output that can propel the diagnosis and treatment of kidney disease into the realm of precision medicine.
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Affiliation(s)
- Michael T Eadon
- Department of Medicine, Division of Nephrology, Indiana University School of Medicine, Indianapolis, Indiana, USA
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22
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Sabo AR, Winfree S, Bledsoe SB, Phillips CL, Lingeman JE, Eadon MT, Williams JC, El‐Achkar TM. Label-free imaging of non-deparaffinized sections of the human kidney to determine tissue quality and signatures of disease. Physiol Rep 2022; 10:e15167. [PMID: 35133089 PMCID: PMC8822874 DOI: 10.14814/phy2.15167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Revised: 12/18/2021] [Accepted: 12/22/2021] [Indexed: 11/24/2022] Open
Abstract
Label-free fluorescence imaging of kidney sections can provide important morphological information, but its utility has not been tested in a histology processing workflow. We tested the feasibility of label-free imaging of paraffin-embedded sections without deparaffinization and its potential usefulness in generating actionable data. Kidney tissue specimens were obtained during percutaneous nephrolithotomy or via diagnostic needle biopsy. Unstained non-deparaffinized sections were imaged using widefield fluorescence microscopy to capture endogenous fluorescence. Some samples were also imaged with confocal microscopy and multiphoton excitation to collect second harmonic generation (SHG) signal to obtain high-quality autofluorescence images with optical sectioning. To adjudicate the label-free signal, the samples or corresponding contiguous sections were subsequently deparaffinized and stained with Lillie's allochrome. Label-free imaging allowed the recognition of various kidney structures and enabled morphological qualification for adequacy. SHG and confocal imaging yielded quantifiable high-quality images for tissue collagens and revealed specific patterns in glomeruli and various tubules. Disease specimens from patients with diabetic kidney disease and focal segmental glomerulosclerosis showed distinctive signatures compared to specimens from healthy controls with normal kidney function. Quantitative cytometry could also be performed when DAPI is added in situ before imaging. These results show that label-free imaging of non-deparaffinized sections provides useful information about tissue quality that could be beneficial to nephropathologists by maximizing the use of scarce kidney tissue. This approach also provides quantifiable features that could inform on the biology of health and disease.
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Affiliation(s)
- Angela R. Sabo
- Department of Anatomy, Cell Biology, and PhysiologyIndiana University School of MedicineIndianapolisIndianaUSA
- Department of MedicineIndiana University School of MedicineIndianapolisIndianaUSA
| | - Seth Winfree
- Department of Pathology and MicrobiologyEppley InstituteUniversity of Nebraska Medical CenterOmahaNebraskaUSA
| | - Sharon B. Bledsoe
- Department of Anatomy, Cell Biology, and PhysiologyIndiana University School of MedicineIndianapolisIndianaUSA
| | - Carrie L. Phillips
- Department of PathologyIndiana University School of MedicineIndianapolisIndianaUSA
| | - James E. Lingeman
- Department of UrologyIndiana University School of MedicineIndianapolisIndianaUSA
| | - Michael T. Eadon
- Department of MedicineIndiana University School of MedicineIndianapolisIndianaUSA
| | - James C. Williams
- Department of Anatomy, Cell Biology, and PhysiologyIndiana University School of MedicineIndianapolisIndianaUSA
| | - Tarek M. El‐Achkar
- Department of Anatomy, Cell Biology, and PhysiologyIndiana University School of MedicineIndianapolisIndianaUSA
- Department of MedicineIndiana University School of MedicineIndianapolisIndianaUSA
- Indianapolis VA Medical CenterIndianapolisIndianaUSA
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23
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Constantin AM, Mihu CM, Boşca AB, Melincovici CS, Mărginean MV, Jianu EM, Ştefan RA, Alexandru BC, Moldovan IM, Şovrea AS, Sufleţel RT. Short histological kaleidoscope - recent findings in histology. Part I. ROMANIAN JOURNAL OF MORPHOLOGY AND EMBRYOLOGY = REVUE ROUMAINE DE MORPHOLOGIE ET EMBRYOLOGIE 2022; 63:7-29. [PMID: 36074664 PMCID: PMC9593135 DOI: 10.47162/rjme.63.1.01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 09/05/2022] [Indexed: 06/15/2023]
Abstract
This article is a review of new advances in histology, concerning either classification or structure of different tissular elements (basement membrane, hemidesmosomes, urothelium, glandular epithelia, adipose tissue, astrocytes), and various organs' constituents (blood-brain barrier, human dental cementum, tubarial salivary glands, hepatic stellate cells, pineal gland, fibroblasts of renal interstitium, Leydig testicular cells, ovarian hilar cells), as well as novel biotechnological techniques (tissue engineering in angiogenesis), recently introduced.
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Affiliation(s)
- Anne Marie Constantin
- Discipline of Histology, Department of Morphological Sciences, Iuliu Haţieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania;
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24
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Single nucleus RNA-sequencing: how it's done, applications and limitations. Emerg Top Life Sci 2021; 5:687-690. [PMID: 34515767 DOI: 10.1042/etls20210074] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 08/10/2021] [Accepted: 08/24/2021] [Indexed: 11/17/2022]
Abstract
Single nuclei RNA-sequencing (sNuc-Seq) is a methodology which uses isolated nuclei instead of whole cells to profile gene expression. By using droplet microfluidic technologies, users are able to profile thousands of single transcriptomes at high throughput from their chosen tissue. This article aims to introduce sNuc-Seq as a method and its utility in multiple tissue types. Furthermore, we discuss the risks associated with the use of nuclei, which must be considered before committing to a methodology.
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25
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Börner K, Teichmann SA, Quardokus EM, Gee JC, Browne K, Osumi-Sutherland D, Herr BW, Bueckle A, Paul H, Haniffa M, Jardine L, Bernard A, Ding SL, Miller JA, Lin S, Halushka MK, Boppana A, Longacre TA, Hickey J, Lin Y, Valerius MT, He Y, Pryhuber G, Sun X, Jorgensen M, Radtke AJ, Wasserfall C, Ginty F, Ho J, Sunshine J, Beuschel RT, Brusko M, Lee S, Malhotra R, Jain S, Weber G. Anatomical structures, cell types and biomarkers of the Human Reference Atlas. Nat Cell Biol 2021; 23:1117-1128. [PMID: 34750582 PMCID: PMC10079270 DOI: 10.1038/s41556-021-00788-6] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Accepted: 09/29/2021] [Indexed: 02/05/2023]
Abstract
The Human Reference Atlas (HRA) aims to map all of the cells of the human body to advance biomedical research and clinical practice. This Perspective presents collaborative work by members of 16 international consortia on two essential and interlinked parts of the HRA: (1) three-dimensional representations of anatomy that are linked to (2) tables that name and interlink major anatomical structures, cell types, plus biomarkers (ASCT+B). We discuss four examples that demonstrate the practical utility of the HRA.
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Affiliation(s)
- Katy Börner
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA.
| | - Sarah A Teichmann
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Ellen M Quardokus
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA
| | - James C Gee
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Kristen Browne
- Department of Health and Human Services, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - David Osumi-Sutherland
- European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Cambridge, UK
| | - Bruce W Herr
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA
| | - Andreas Bueckle
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA
| | - Hrishikesh Paul
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA
| | - Muzlifah Haniffa
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Laura Jardine
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | | | | | | | - Shin Lin
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Marc K Halushka
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Avinash Boppana
- Department of Computer Science, Princeton University, Princeton, NJ, USA
| | - Teri A Longacre
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - John Hickey
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Yiing Lin
- Department of Surgery, Washington University in St Louis, St Louis, MO, USA
| | - M Todd Valerius
- Harvard Institute of Medicine, Harvard Medical School, Boston, MA, USA
| | - Yongqun He
- Department of Microbiology and Immunology, and Center for Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Gloria Pryhuber
- Department of Pediatrics, University of Rochester, Rochester, NY, USA
| | - Xin Sun
- Biological Sciences, University of California, San Diego, La Jolla, CA, USA
| | - Marda Jorgensen
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, USA
| | - Andrea J Radtke
- Center for Advanced Tissue Imaging, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA
| | - Clive Wasserfall
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, USA
| | - Fiona Ginty
- Biology and Applied Physics, General Electric Research, Niskayuna, NY, USA
| | - Jonhan Ho
- Department of Dermatology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Joel Sunshine
- Department of Dermatology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Rebecca T Beuschel
- Center for Advanced Tissue Imaging, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA
| | - Maigan Brusko
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, USA
| | - Sujin Lee
- Division of Vascular Surgery and Endovascular Therapy, Massachusetts General Hospital, Boston, MA, USA
| | - Rajeev Malhotra
- Harvard Institute of Medicine, Harvard Medical School, Boston, MA, USA
- Division of Vascular Surgery and Endovascular Therapy, Massachusetts General Hospital, Boston, MA, USA
| | - Sanjay Jain
- Department of Medicine, Washington University School of Medicine, St Louis, MO, USA
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO, USA
| | - Griffin Weber
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
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26
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Sembach FE, Ægidius HM, Fink LN, Secher T, Aarup A, Jelsing J, Vrang N, Feldt-Rasmussen B, Rigbolt KTG, Nielsen JC, Østergaard MV. Integrative transcriptomic profiling of a mouse model of hypertension-accelerated diabetic kidney disease. Dis Model Mech 2021; 14:dmm049086. [PMID: 34494644 PMCID: PMC8560499 DOI: 10.1242/dmm.049086] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 09/01/2021] [Indexed: 12/12/2022] Open
Abstract
The current understanding of molecular mechanisms driving diabetic kidney disease (DKD) is limited, partly due to the complex structure of the kidney. To identify genes and signalling pathways involved in the progression of DKD, we compared kidney cortical versus glomerular transcriptome profiles in uninephrectomized (UNx) db/db mouse models of early-stage (UNx only) and advanced [UNxplus adeno-associated virus-mediated renin-1 overexpression (UNx-Renin)] DKD using RNAseq. Compared to normoglycemic db/m mice, db/db UNx and db/db UNx-Renin mice showed marked changes in their kidney cortical and glomerular gene expression profiles. UNx-Renin mice displayed more marked perturbations in gene components associated with the activation of the immune system and enhanced extracellular matrix remodelling, supporting histological hallmarks of progressive DKD in this model. Single-nucleus RNAseq enabled the linking of transcriptome profiles to specific kidney cell types. In conclusion, integration of RNAseq at the cortical, glomerular and single-nucleus level provides an enhanced resolution of molecular signalling pathways associated with disease progression in preclinical models of DKD, and may thus be advantageous for identifying novel therapeutic targets in DKD.
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Affiliation(s)
- Frederikke E. Sembach
- Gubra ApS, Hørsholm Kongevej 11B, 2970 Hørsholm, Denmark
- Department of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark
| | | | | | - Thomas Secher
- Gubra ApS, Hørsholm Kongevej 11B, 2970 Hørsholm, Denmark
| | | | - Jacob Jelsing
- Gubra ApS, Hørsholm Kongevej 11B, 2970 Hørsholm, Denmark
| | - Niels Vrang
- Gubra ApS, Hørsholm Kongevej 11B, 2970 Hørsholm, Denmark
| | - Bo Feldt-Rasmussen
- Department of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark
- Department of Nephrology, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark
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27
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Schumacher A, Rookmaaker MB, Joles JA, Kramann R, Nguyen TQ, van Griensven M, LaPointe VLS. Defining the variety of cell types in developing and adult human kidneys by single-cell RNA sequencing. NPJ Regen Med 2021; 6:45. [PMID: 34381054 PMCID: PMC8357940 DOI: 10.1038/s41536-021-00156-w] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Accepted: 07/22/2021] [Indexed: 01/14/2023] Open
Abstract
The kidney is among the most complex organs in terms of the variety of cell types. The cellular complexity of human kidneys is not fully unraveled and this challenge is further complicated by the existence of multiple progenitor pools and differentiation pathways. Researchers disagree on the variety of renal cell types due to a lack of research providing a comprehensive picture and the challenge to translate findings between species. To find an answer to the number of human renal cell types, we discuss research that used single-cell RNA sequencing on developing and adult human kidney tissue and compares these findings to the literature of the pre-single-cell RNA sequencing era. We find that these publications show major steps towards the discovery of novel cell types and intermediate cell stages as well as complex molecular signatures and lineage pathways throughout development. The variety of cell types remains variable in the single-cell literature, which is due to the limitations of the technique. Nevertheless, our analysis approaches an accumulated number of 41 identified cell populations of renal lineage and 32 of non-renal lineage in the adult kidney, and there is certainly much more to discover. There is still a need for a consensus on a variety of definitions and standards in single-cell RNA sequencing research, such as the definition of what is a cell type. Nevertheless, this early-stage research already proves to be of significant impact for both clinical and regenerative medicine, and shows potential to enhance the generation of sophisticated in vitro kidney tissue.
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Affiliation(s)
- A Schumacher
- MERLN Institute for Technology-Inspired Regenerative Medicine, Department of Cell Biology-Inspired Tissue Engineering, Maastricht University, Maastricht, The Netherlands
| | - M B Rookmaaker
- Department of Nephrology, University Medical Center, Utrecht, The Netherlands
| | - J A Joles
- Department of Nephrology, University Medical Center, Utrecht, The Netherlands
| | - R Kramann
- Institute of Experimental Medicine and Systems Biology, RWTH Aachen, Aachen, Germany
- Department of Internal Medicine, Nephrology and Transplantation, Erasmus Medical Center, Rotterdam, The Netherlands
| | - T Q Nguyen
- Department of Pathology, University Medical Center, Utrecht, The Netherlands
| | - M van Griensven
- MERLN Institute for Technology-Inspired Regenerative Medicine, Department of Cell Biology-Inspired Tissue Engineering, Maastricht University, Maastricht, The Netherlands
| | - V L S LaPointe
- MERLN Institute for Technology-Inspired Regenerative Medicine, Department of Cell Biology-Inspired Tissue Engineering, Maastricht University, Maastricht, The Netherlands.
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28
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Melo Ferreira R, Sabo AR, Winfree S, Collins KS, Janosevic D, Gulbronson CJ, Cheng YH, Casbon L, Barwinska D, Ferkowicz MJ, Xuei X, Zhang C, Dunn KW, Kelly KJ, Sutton TA, Hato T, Dagher PC, El-Achkar TM, Eadon MT. Integration of spatial and single-cell transcriptomics localizes epithelial cell-immune cross-talk in kidney injury. JCI Insight 2021; 6:147703. [PMID: 34003797 PMCID: PMC8262485 DOI: 10.1172/jci.insight.147703] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Single-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.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Xiaoling Xuei
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Chi Zhang
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | | | | | | | | | | | | | - Michael T Eadon
- Department of Medicine and.,Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
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Namestnikov M, Pleniceanu O, Dekel B. Mixing Cells for Vascularized Kidney Regeneration. Cells 2021; 10:1119. [PMID: 34066487 PMCID: PMC8148539 DOI: 10.3390/cells10051119] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 04/26/2021] [Accepted: 05/01/2021] [Indexed: 02/06/2023] Open
Abstract
The worldwide rise in prevalence of chronic kidney disease (CKD) demands innovative bio-medical solutions for millions of kidney patients. Kidney regenerative medicine aims to replenish tissue which is lost due to a common pathological pathway of fibrosis/inflammation and rejuvenate remaining tissue to maintain sufficient kidney function. To this end, cellular therapy strategies devised so far utilize kidney tissue-forming cells (KTFCs) from various cell sources, fetal, adult, and pluripotent stem-cells (PSCs). However, to increase engraftment and potency of the transplanted cells in a harsh hypoxic diseased environment, it is of importance to co-transplant KTFCs with vessel forming cells (VFCs). VFCs, consisting of endothelial cells (ECs) and mesenchymal stem-cells (MSCs), synergize to generate stable blood vessels, facilitating the vascularization of self-organizing KTFCs into renovascular units. In this paper, we review the different sources of KTFCs and VFCs which can be mixed, and report recent advances made in the field of kidney regeneration with emphasis on generation of vascularized kidney tissue by cell transplantation.
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Affiliation(s)
- Michael Namestnikov
- Pediatric Stem Cell Research Institute, Edmond and Lily Safra Children’s Hospital, Sheba Medical Center, Tel Hashomer, Ramat Gan 52621, Israel;
- Sackler Faculty of Medicine, Tel Aviv University, Ramat Aviv, Tel Aviv 69978, Israel;
- ediatric Nephrology Division, Edmond and Lily Safra Children’s Hospital, Sheba Medical Center, Tel Hashomer, Ramat Gan 52621, Israel;
| | - Oren Pleniceanu
- Sackler Faculty of Medicine, Tel Aviv University, Ramat Aviv, Tel Aviv 69978, Israel;
- The Kidney Research Lab, Institute of Nephrology and Hypertension, Sheba Medical Center, Tel Hashomer, Ramat Gan 52621, Israel
| | - Benjamin Dekel
- Pediatric Stem Cell Research Institute, Edmond and Lily Safra Children’s Hospital, Sheba Medical Center, Tel Hashomer, Ramat Gan 52621, Israel;
- Sackler Faculty of Medicine, Tel Aviv University, Ramat Aviv, Tel Aviv 69978, Israel;
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