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  1. Article ; Online: Multi-omics data integration shines a light on the renal medulla.

    Hodgin, Jeffrey B / Smith, Cathy / Kretzler, Matthias

    Kidney international

    2024  Volume 105, Issue 2, Page(s) 242–244

    Abstract: The renal medulla maintains salt and water balance and is prone to dysregulation because of high oxygen demand. Challenges in obtaining high-quality tissue have limited characterization of molecular programs regulating the medulla. Haug et al. leveraged ... ...

    Abstract The renal medulla maintains salt and water balance and is prone to dysregulation because of high oxygen demand. Challenges in obtaining high-quality tissue have limited characterization of molecular programs regulating the medulla. Haug et al. leveraged gene expression, chromatin accessibility, long-range chromosomal interactions, and spatial transcriptomics to build a reference set of medullary tissue marker genes to define the medullary role in kidney function, exemplifying the strength and utility of multi-omic data integration.
    MeSH term(s) Multiomics ; Kidney Medulla/metabolism ; Sodium Chloride, Dietary/metabolism ; Sodium Chloride/metabolism ; Water-Electrolyte Balance
    Chemical Substances Sodium Chloride, Dietary ; Sodium Chloride (451W47IQ8X)
    Language English
    Publishing date 2024-01-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 120573-0
    ISSN 1523-1755 ; 0085-2538
    ISSN (online) 1523-1755
    ISSN 0085-2538
    DOI 10.1016/j.kint.2023.11.014
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  2. Article ; Online: The authors reply.

    Ju, Wenjun / Heerspink, Hiddo J L / Kretzler, Matthias / Bjornstad, Petter

    Kidney international

    2023  Volume 105, Issue 3, Page(s) 639

    Language English
    Publishing date 2023-08-05
    Publishing country United States
    Document type Letter
    ZDB-ID 120573-0
    ISSN 1523-1755 ; 0085-2538
    ISSN (online) 1523-1755
    ISSN 0085-2538
    DOI 10.1016/j.kint.2023.10.033
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  3. Article ; Online: Precision Medicine in Nephrology: An Integrative Framework of Multidimensional Data in the Kidney Precision Medicine Project.

    El-Achkar, Tarek M / Eadon, Michael T / Kretzler, Matthias / Himmelfarb, Jonathan

    American journal of kidney diseases : the official journal of the National Kidney Foundation

    2023  Volume 83, Issue 3, Page(s) 402–410

    Abstract: Chronic kidney disease (CKD) and acute kidney injury (AKI) are heterogeneous syndromes defined clinically by serial measures of kidney function. Each condition possesses strong histopathologic associations, including glomerular obsolescence or acute ... ...

    Abstract Chronic kidney disease (CKD) and acute kidney injury (AKI) are heterogeneous syndromes defined clinically by serial measures of kidney function. Each condition possesses strong histopathologic associations, including glomerular obsolescence or acute tubular necrosis, respectively. Despite such characterization, there remains wide variation in patient outcomes and treatment responses. Precision medicine efforts, as exemplified by the Kidney Precision Medicine Project (KPMP), have begun to establish evolving, spatially anchored, cellular and molecular atlases of the cell types, states, and niches of the kidney in health and disease. The KPMP atlas provides molecular context for CKD and AKI disease drivers and will help define subtypes of disease that are not readily apparent from canonical functional or histopathologic characterization but instead are appreciable through advanced clinical phenotyping, pathomic, transcriptomic, proteomic, epigenomic, and metabolomic interrogation of kidney biopsy samples. This perspective outlines the structure of the KPMP, its approach to the integration of these diverse datasets, and its major outputs relevant to future patient care.
    MeSH term(s) Humans ; Nephrology ; Precision Medicine ; Proteomics ; Kidney/pathology ; Renal Insufficiency, Chronic/epidemiology ; Renal Insufficiency, Chronic/therapy ; Renal Insufficiency, Chronic/pathology ; Acute Kidney Injury/pathology
    Language English
    Publishing date 2023-10-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 604539-x
    ISSN 1523-6838 ; 0272-6386
    ISSN (online) 1523-6838
    ISSN 0272-6386
    DOI 10.1053/j.ajkd.2023.08.015
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  4. Book ; Thesis: Glomeruläre Schädigungsmuster in der chronisch hypertensiven DOCA-UNX-Ratte

    Kretzler, Matthias

    1993  

    Author's details vorgelegt von Matthias Kretzler
    Language German
    Size V, 102 Bl. : Ill., graph. Darst.
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Heidelberg, Univ., Diss., 1994
    HBZ-ID HT006400199
    Database Catalogue ZB MED Medicine, Health

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  5. Article ; Online: Decoding the genetic determinants of gene regulation in the kidney.

    Nair, Viji / Kretzler, Matthias

    Kidney international

    2019  Volume 95, Issue 1, Page(s) 16–18

    MeSH term(s) Gene Expression Regulation ; Genetic Variation ; Humans ; Kidney ; Renal Insufficiency, Chronic
    Language English
    Publishing date 2019-01-24
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 120573-0
    ISSN 1523-1755 ; 0085-2538
    ISSN (online) 1523-1755
    ISSN 0085-2538
    DOI 10.1016/j.kint.2018.11.013
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  6. Article ; Online: Authors' Reply:

    Sealfon, Rachel / Mariani, Laura / Kretzler, Matthias / Beck, Laurence H

    Journal of the American Society of Nephrology : JASN

    2022  Volume 33, Issue 12, Page(s) 2322–2323

    MeSH term(s) Humans ; Glomerulonephritis, Membranous ; Receptors, Phospholipase A2 ; Autoantigens
    Chemical Substances Receptors, Phospholipase A2 ; Autoantigens
    Language English
    Publishing date 2022-09-29
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 1085942-1
    ISSN 1533-3450 ; 1046-6673
    ISSN (online) 1533-3450
    ISSN 1046-6673
    DOI 10.1681/ASN.2022080921
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  7. Article ; Online: TRPC6 Inhibitor BI 764198 in Focal Segmental Glomerulosclerosis: Phase 2 Study Design.

    Trachtman, Howard / Kretzler, Matthias / Desmond, Hailey E / Choi, Wansuk / Manuel, Raymond C / Soleymanlou, Nima

    Kidney international reports

    2023  Volume 8, Issue 12, Page(s) 2822–2825

    Language English
    Publishing date 2023-09-29
    Publishing country United States
    Document type Journal Article
    ISSN 2468-0249
    ISSN (online) 2468-0249
    DOI 10.1016/j.ekir.2023.09.026
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  8. Article ; Online: Systems biology approaches to identify disease mechanisms and facilitate targeted therapy in the management of glomerular disease.

    Hamidi, Habib / Kretzler, Matthias

    Current opinion in nephrology and hypertension

    2018  Volume 27, Issue 6, Page(s) 433–439

    Abstract: Purpose of review: Current clinical pathological classifications of glomerular diseases are inadequate at predicting patient disease progression or response to therapy. With the advent of precision medicine and its successes in oncology, it is important ...

    Abstract Purpose of review: Current clinical pathological classifications of glomerular diseases are inadequate at predicting patient disease progression or response to therapy. With the advent of precision medicine and its successes in oncology, it is important to understand if similar approaches in glomerular diseases can improve patient management. The purpose of this review is to summarize approaches to obtain comprehensive molecular profiles from human biopsies and utilize them to define the pathophysiology of glomerular failure.
    Recent findings: Multicenter research networks have provided the framework to capture both prospective clinical disease course and patterns of end organ damage in biopsy cohorts. With these sample and data sets in hand, efforts are progressing towards molecular disease characterization, identification of novel prognostic marker, development of more precise clinical trials and discovery of predictive biomarkers to more effectively stratify patients to appropriate treatment regiments. Partnerships between academia, public funding agencies and private companies seek to improve timelines and maximize resources while also leveraging domain expertise in an integrated framework to holistically understand disease.
    Summary: The application of system biology techniques within team science frameworks across disciplines and continents will seek to realize the impact of precision medicine to bring urgently needed novel therapeutic options to patients with glomerular disease.
    MeSH term(s) Humans ; Kidney Glomerulus/physiopathology ; Multicenter Studies as Topic ; Precision Medicine ; Renal Insufficiency/diagnosis ; Renal Insufficiency/physiopathology ; Renal Insufficiency/therapy ; Systems Biology/methods
    Language English
    Publishing date 2018-08-03
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, N.I.H., Intramural ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 1151092-4
    ISSN 1473-6543 ; 1535-3842 ; 1062-4813 ; 1062-4821
    ISSN (online) 1473-6543 ; 1535-3842
    ISSN 1062-4813 ; 1062-4821
    DOI 10.1097/MNH.0000000000000446
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    Zs.A 3686: Show issues Location:
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  9. Article ; Online: Single-Cell Sequencing the Glomerulus, Unraveling the Molecular Programs of Glomerular Filtration, One Cell at a Time.

    Kretzler, Matthias / Menon, Rajasree

    Journal of the American Society of Nephrology : JASN

    2018  Volume 29, Issue 8, Page(s) 2036–2038

    MeSH term(s) Female ; Forecasting ; Gene Expression Profiling ; Gene Expression Regulation ; Genome-Wide Association Study ; Glomerular Filtration Rate/genetics ; Glomerulonephritis/diagnosis ; Glomerulonephritis/genetics ; Humans ; Kidney Diseases/diagnosis ; Kidney Diseases/genetics ; Kidney Glomerulus/cytology ; Kidney Glomerulus/embryology ; Machine Learning ; Male ; Pregnancy ; RNA, Messenger/genetics ; Sequence Analysis, RNA
    Chemical Substances RNA, Messenger
    Language English
    Publishing date 2018-07-12
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 1085942-1
    ISSN 1533-3450 ; 1046-6673
    ISSN (online) 1533-3450
    ISSN 1046-6673
    DOI 10.1681/ASN.2018060626
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  10. Article: Digitalisierung. Nutzung von Routinedaten im Entlassmanagement. Können Algorithmen im Krankenhaus bei der Überleitung in die Nachsorge helfen?

    Lingnau, Ruth / Kretzler, Matthias / Broge, Björn

    KU-Gesundheitsmanagement

    2022  Volume 91, Issue 5, Page(s) 70

    Language German
    Document type Article
    ZDB-ID 2420760-3
    ISSN 1867-9269
    Database Current Contents Medicine

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