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Record W6991919160

The influence of environmental toxins on the pulmonary system

2005· dissertation· en· W6991919160 on OpenAlexfundno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2005
Typedissertation
Languageen
FieldMedicine
TopicInterstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsImmune systemMicrobial toxinsRespiratory systemDisease
DOInot available

Abstract

fetched live from OpenAlex

The lungs are composed of an architectural framework, conducting airways, and alveolar sacs.To prevent collapse of lung tissue, alveolar type II (AT II) cells produce pulmonary surfactant (PS), an amphipathic material composed mostly of saturated phospholipids and cholesterol that lines the airlwater interface.Alterations to lung cells (neoplastic transformation) or the PS system (composition and function) may result in respiratory complications.We studied the biochemical composition of urethane-induced AT II neoplasms, the role of cholesterol in PS function, and the effect of exposure to pulmonary toxins produced by the mold ,S.chartarum.To assess biochemical alterations of neoplastic mouse lung and excised human lung neoplasms, we used a novel technique called Fourier-transform infrared spectroscopy (FTIR), which provides information based on absorption patterns of molecules.Results showed unique biochemistry of mouse neoplasms compared to normal mouse lung.Analyses of human lung lesions revealed also unique but subtle biochemical differences between neoplasms.To study PS function we used capillary surfactometry (CS), which analyzes the ability of a surface-active material to ensure free airflow, thus simulating the small airways.Results demonstrated that excess cholesterol within PS obtained from healthy and tumor-bearing hypercholesterolemic mice had diminished ability to maintain free airflow.Finally, FTIR analyses of PS from mice exposed to S. chartarum spoÍes demonstrated alterations to PS phospholipids.S. chartarum' s epigenetic properties were revealed by through analyses of lung fibroblast DNA fragmentation.Alterations to DNA biochemistry, excess PS cholesterol, and epigenetic properties of S. chartarurn spore toxins may contribute to the development of reversible and/or irreversible respiratory disorders and diseases.significant cause of high moisture levels.A variety of situations such as flooding, sewage back-up, roof leaks, and defective plumbing installations may cause water damage.Some homes and buildings may have chronic water damage and subsequent mold problems.The Canada Mortgage and Housing Corporation studied chronic mold problems on the Roseau River Anishinabe First Nation Reserve in southern Manitoba, Canada [18].In the spring of 199'7, this community of approximately 1,000 people was evacuated due to flooding from the Red River.At least 114 houses suffered flood damage due mainly to basement seepage and sewage back-up and of these houses approximately 34 werc contaminated with S. chartarum.S. chartarurø samples may be collected via bioaerosol, swab, and bulk sampling methods, and cultured on malt extract agar andlor corn meal agar media plates [11a].Air sampling however, may result in false negatives because spores may not be readily aerosolized under very moist conditions tl141.Identification of S. chartarum (and other microorganisms) relies on cultural and microscopic methods, however new DNA-based techniques are currently being developed and tested such as fungus-specific PCR that may detect low levels of spores with greater accuracy in a timely fashion 1122,1261.S. chartarum gained notoriety in the last century beginning in the 1930-40s and in the mid-nineties for being the cause of health problems, termed stachybotryotoxicosis.This term was coined in the 1930s by a team of Russian scientists when they discovered S. chartarum appearcd to cause illnesses or deaths of thousands of horses that consumed S. chartaru¡ø-infested hay [40].The scientists noted S. chartarum's effect on humans after volunteers(?)rubbed the mold on to their skin and subsequently developed skin rash, coughing, pain in the throat, burning in the nose along with bloody exudate, and KC McCrae: Influence on the pulmonary system

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.006
GPT teacher head0.188
Teacher spread0.182 · 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 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".

Quick stats

Citations0
Published2005
Admission routes1
Has abstractno

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