All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Donor-Specific Antibody Is Associated with Increased Expression of Rejection Transcripts in Renal Transplant Biopsies Classified as No Rejection

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023001%3A_____%2F21%3A00081724" target="_blank" >RIV/00023001:_____/21:00081724 - isvavai.cz</a>

  • Result on the web

    <a href="https://jasn.asnjournals.org/content/jnephrol/32/11/2743.full.pdf?with-ds=yes" target="_blank" >https://jasn.asnjournals.org/content/jnephrol/32/11/2743.full.pdf?with-ds=yes</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1681/ASN.2021040433" target="_blank" >10.1681/ASN.2021040433</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Donor-Specific Antibody Is Associated with Increased Expression of Rejection Transcripts in Renal Transplant Biopsies Classified as No Rejection

  • Original language description

    BACKGROUND: Donor -specific HLA antibody (DSA) is present in many kidney transplant patients whose biopsies are classified as no rejection (NR). We explored whether in some NR kidneys DSA has subtle effects not currently being recognized. METHODS: We used microarrays to examine the relationship between standard-of-care DSA and rejection-related transcript increases in 1679 kidney transplant indication biopsies in the INTERCOMEX study (ClinicalTrials.gov NCT01299168), focusing on biopsies classified as NR by automatically assigned archetypal clustering. DSA testing results were available for 835 NR biopsies and were positive in 271 (32%). RESULTS: DSA positivity in NR biopsies was associated with mildly increased expression of antibody-mediated rejection (ABMR)-related transcripts, particularly IFNG-inducible and NK cell transcripts. We developed a machine learning DSA probability (DSA(Prob)) classifier based on transcript expression in biopsies from DSA-positive versus DSA-negative patients, assigning scores using 10-fold cross-validation. This DSA(Prob) classifier was very similar to a previously described &quot;ABMR probability&quot; classifier trained on histologic ABMR in transcript associations and prediction of molecular or histologic ABMR. Plotting the biopsies using Uniform Manifold Approximation and Projection revealed a gradient of increasing molecular ABMR-like transcript expression in NR biopsies, associated with increased DSA (P&lt;2 × 10(-16)). In biopsies with no molecular or histologic rejection, increased DSA(Prob) or ABMR probability scores were associated with increased risk of kidney failure over 3 years. CONCLUSIONS: Many biopsies currently considered to have no molecular or histologic rejection have mild increases in expression of ABMR-related transcripts, associated with increasing frequency of DSA. Thus, mild molecular ABMR-related pathology is more common than previously realized.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30217 - Urology and nephrology

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of the American Society of Nephrology

  • ISSN

    1046-6673

  • e-ISSN

  • Volume of the periodical

    32

  • Issue of the periodical within the volume

    11

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    16

  • Pages from-to

    2743-2758

  • UT code for WoS article

    000753515500013

  • EID of the result in the Scopus database

    2-s2.0-85119127225