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Record W7126300037

Investigating the UPR in Fibrotic Lung Disease

2017· dissertation· en· W7126300037 on OpenAlexaff
Ehab Ayaub

Bibliographic record

VenueMacSphere (McMaster University) · 2017
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEndoplasmic Reticulum Stress and Disease
Canadian institutionsMcMaster University Medical Centre
Fundersnot available
KeywordsUnfolded protein responsePathogenesisFibrosisMyofibroblastEndoplasmic reticulumExtracellular matrixPulmonary fibrosisImmune systemMacrophage
DOInot available

Abstract

fetched live from OpenAlex

Tissue fibrosis occurs in the advanced stages of various chronic diseases and can account for 45% of all deaths related to chronic diseases worldwide. The extracellular matrix (ECM) components comprising the fibrotic scar are primarily derived from myofibroblasts, which are contractile fibroblasts arising from the trans-differentiation of several cellular progenitors. Disturbances in immune cell infiltration and function could lead to the uncontrolled production of pro/anti-inflammatory mediators, which may alter the phenotype, state, and function of myofibroblasts progenitors, leading to aberrant wound repair and pathological fibrosis. A great deal of knowledge has implicated macrophages in the pathogenesis and exacerbation of the fibrotic process. Nonetheless, much remains to be elucidated on the potential mechanisms regulating macrophage accumulation and pro-fibrotic polarization, and whether these mechanisms can be further investigated to modulate tissue repair. The Endoplasmic reticulum (ER) stress has recently been implicated as a key mechanism that propagates the pathogenesis of the fibrotic process. How ER stress precisely impacts the fibrotic process is still unclear. This thesis partly explored how modulating the outcome of ER stress – the unfolded protein response (UPR), would affect the severity of lung fibrosis and addressed the role of IL-6 signalling in macrophages during fibrosis. The data demonstrated that UPR activation in pro-fibrotic macrophages and partial deficiency of Grp78, the master regulator of the UPR, abrogated pulmonary fibrotic changes and reduced the accumulation of pro-fibrotic (M2-like) macrophages. These findings were later associated with high TUNEL levels, 7AAD positive cells, Chop and cleaved caspase 3 levels, which are suggestive of GRP78 mediated apoptosis in this population. On the contrary, mice lacking a terminal UPR mediator of apoptosis, called Chop, had increased ECM deposition and greater persistence of non-apoptotic macrophages. These findings suggest that UPR-mediated macrophage polarization and apoptosis may alter lung wound repair processes. As IL-6 synergized the effect of IL-4 to promote a hyper M2 macrophage state, it provided a unique and compelling model to study the dynamics of macrophage alternative programming, which has set the stage to investigate whether the UPR was implicated in the generation of a hyper pro-fibrotic macrophage phenotype. This hyper M2 macrophage model led to the identification of ER expansion program and the IRE1-XBP1 arm of the UPR in pro-fibrotic macrophage polarization, and suggested an unprecedented in vivo role of IL-6 in priming macrophages in the injured lungs to possibly potentiate pathological wound repair. Looking forward, many questions remain to be answered in order to precisely identify the vital UPR axis regulating ER expansion in macrophages during pathological wound repair and to get closer to the understanding of whether the UPR modulates the pro-fibrotic/pro-resolving capacity of macrophages. Insights on these mechanisms may facilitate the development of therapeutics that better manage chronic fibrotic diseases which pose fatal consequences and increase public concern.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.223
Teacher spread0.214 · 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 source (direct Gemma or distilled Codex), 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
Published2017
Admission routes1
Has abstractyes

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