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Record W7028924885

Hyaluronan turnover in hyaluronidase 3- and β-hexosaminidase-deficient mice

2010· dissertation· en· W7028924885 on OpenAlexafffund

Bibliographic record

VenueMspace (University of Manitoba) · 2010
Typedissertation
Languageen
FieldSocial Sciences
TopicMedieval and Early Modern Justice
Canadian institutionsUniversity of Manitoba
FundersCanadian Institutes of Health Research
KeywordsGlycosaminoglycanExtracellular matrixHomeostasisHyaluronidaseInflammationHyaluronic acidLungPhenotype
DOInot available

Abstract

fetched live from OpenAlex

Hyaluronan (HA) is a glycosaminoglycan that is abundant in the extracellular matrix of vertebrate cells. Under physiological conditions HA exists in a high-molecular-weight form, whereas HA fragments accumulate at sites of tissue injury and inflammation. Hyaluronidases are a group of enzymes that initiate the breakdown of HA. In humans, six hyaluronidase-like sequences have been identified in two locations, 3p21.3 (HYAL1, HYAL2 and HYAL3) and 7q31.3 (HYAL4, SPAM1 and HYALP1). Deficiency of one of these enzymes, HYAL1, was identified in a patient with Mucopolysaccharidosis IX, a disorder characterized by peri-articular soft masses containing HA-filled lysosomes. Given the broad distribution of HA and the mild phenotype of the patient, it is likely that other hyaluronidases or possibly the exoglycosidases, β-hexosaminidase and β-glucuronidase, are playing a major role in HA degradation. To address the potential role of HYAL3 in HA degradation in health and disease, a Hyal3-deficient mouse model was generated. Hyal3-deficient mice were viable, fertile and appeared to have no gross phenotype. The only difference observed was a subtle change in the cellularity and tissue structure of lungs from aged Hyal3-deficient mice. Further studies focused on analysis of HA homeostasis revealed a significant increase in HA in the airways of Hyal3-deficient lungs. Altered HA homeostasis is observed in rodent models of several lung conditions. In order to further study the role of Hyal3 in lungs, an ovalbumin-challenged inflammation model was generated in Hyal3-deficient mice. A significant increase in lung HA levels and altered distribution of HA in the airways of lungs was detected in ovalbumin-challenged Hyal3-deficient mice. Moreover, lung inflammation and airway resistance were increased in Hyal3-deficient mice after ovalbumin-challenge compared to similarly treated Hyal3-control mice. This suggests HA homeostasis that is altered during Hyal3-deficiency might be directly or indirectly promoting inflammation and airway resistance. Because the reported level of HA accumulation was very low in Hyal1-deficient and Hyal2-deficient mice, and in our studies of Hyal3-deficient mice, we performed preliminary studies to assess a role for an exoglycosidase, β-hexosaminidase, in HA turnover. Our preliminary studies indicate there is no or little HA accumulation in β-hexosaminidase-deficient mouse tissues. To conclude, our study of Hyal3- and β-hexosaminidase-deficient mice suggests that these are not the major enzymes involved in HA degradation

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)0.001
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: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.002

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 head0.016
GPT teacher head0.235
Teacher spread0.219 · 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
Published2010
Admission routes2
Has abstractyes

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