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Record W4402423330 · doi:10.24908/iqurcp18044

Characterizing the function and origin of kidney capsule macrophages

2024· article· en· W4402423330 on OpenAlexaffvenue
Danielle Shibi Rosen, Abbey Politeski, Seily Shrestha

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2024
Typearticle
Languageen
FieldMedicine
TopicElectrolyte and hormonal disorders
Canadian institutionsQueen's University
Fundersnot available
KeywordsCapsuleFunction (biology)KidneyCell biologyBiologyMedicineInternal medicinePaleontology

Abstract

fetched live from OpenAlex

Macrophages are a type of innate immune cell that have roles in pathogen detection, homeostasis, tissue development, and inflammation. These cells can be localized to tissues and self-renewing, or recruited from the bone marrow via a monocyte intermediate. Three main subsets of tissue resident macrophages were previously described with conserved ontogeny and self-renewal capacity across tissues. These subsets include TLF+ (TIMD4+ LYVE1+FOLR2+), MHCIIhi, and CCR2+. The kidney parenchyma is notably lacking the TLF+ macrophages that are present in all other tissues and constitute a yolk-sac derived subset, capable of self-renewal and contributing to wound repair. The kidney capsule is a fibrous tissue that encapsulates the kidney parenchyma, that remains vastly understudied. It was recently shown that the kidney capsule contains TLF+ macrophages, however the function and origin of this population within the capsule remains unknown. Here, with flow cytometry and immunofluorescence staining, we further cement this population as a discrete population independent of kidney parenchymal macrophages. We characterize the self-renewal capacity of kidney capsule macrophages, describe a specific role for fibroblast-derived macrophage colony stimulating factor (mCSF) in the survival of capsule (and not parenchyma) macrophages; and show that they are heavily localized in clusters throughout the capsule based on their origin. Future work will explore the functional role of these cells in the context of acute kidney injury.

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.485
Threshold uncertainty score0.497

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.075
GPT teacher head0.369
Teacher spread0.294 · 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 designBench or experimental
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".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

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