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Peritubular Capillary Vessels and Hypoxia/Angiogenesis Genes in Kidney Biopsies With Transplant Glomerulopathy.

2014· article· en· W2774724069 on OpenAlexaff
Ana Konvalinka, Roger John, Paul C. Boutros, J. Kim, S. Yang, J. W. Scholey, Andrew M. Herzenberg, Heidi Reich

Bibliographic record

VenueTransplantation · 2014
Typearticle
Languageen
FieldMedicine
TopicRenal and Vascular Pathologies
Canadian institutionsToronto General HospitalOntario Institute for Cancer ResearchUniversity of Toronto
Fundersnot available
KeywordsPeritubular capillariesHypoxia (environmental)PathologyPathogenesisMedicineKidneyAngiogenesisCD68TransplantationFibrosisCD31Internal medicineImmunohistochemistryChemistry

Abstract

fetched live from OpenAlex

BACKGROUND: Transplant glomerulopathy (TG) is an important cause of late renal allograft loss. TG has been linked to the presence of alloantibodies, chronic rejection, and persistent inflammation, however the mechanisms responsible for TG are incompletely understood. Peritubular capillary (PTC) loss and hypoxia contribute to pathogenesis of chronic rejection in experimental lung transplantation. In these models HIF1A gene upregulation in response to hypoxia contributes to microvascular repair. A role for PTC loss and hypoxia-related gene expression has not been examined in TG. While persistent inflammation is implicated in TG-mediated graft injury it is not known whether this reflects downstream effects of PTC loss. To study the role of PTC loss in the pathogenesis of TG we quantified PTC density, and evaluated expression of hypoxia-associated and inflammatory pathways in kidney biopsies of patients with TG compared to acute antibody-mediated rejection (AMR) and interstitial fibrosis/tubular atrophy not otherwise specified (IFTA NOS). METHODS: We utilized custom Taqman Low Density Arrays (TLDA) designed to measure expression of 48 genes in pathways of interest in archived kidney biopsies for cause. Formalin-fixed paraffin embedded sections were stained with antibody to CD31, an endothelial cell marker for detection of microvessel density. PTC leukocytes were immunophenotyped in TG cases. RESULTS: Among 19 cases of TG, 16 of IFTA NOS, and 10 of AMR, we found significant differences in the expression of VCAM1, CCL5, CCL2 and IFNg in TG compared to AMR and IFTA NOS. CD68 (monocyte marker) was most elevated in AMR, and the lowest in IFTA NOS. Hypoxia/angiogenesis genes (HIF1A, VEGFA and EDN1) were increased in AMR with no significant difference between TG and IFTA NOS. Peritubular capillary density was comparable in TG and other groups. The majority of PTC leukocytes in TG were macrophages and T cells. CONCLUSIONS: Inflammation is a prominent finding in TG biopsies, and macrophages and T cells appear to be important mediators. We found no evidence of prominent PTC drop out or hypoxia responses in TG. Neither PTC drop out nor hypoxia appear important in established TG.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.487
Threshold uncertainty score0.495

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.218
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2014
Admission routes1
Has abstractyes

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