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Record W2011432780 · doi:10.2217/thy.11.83

Treating cystic fibrosis infection, inflammation and ion channels

2011· article· en· W2011432780 on OpenAlexaff
J.S. Elborn

Bibliographic record

VenueTherapy · 2011
Typearticle
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsMedicineCystic fibrosisInflammationIon channelFibrosisImmunologyInternal medicineReceptor

Abstract

fetched live from OpenAlex

chloride and hyperabsorption of sodium ions results in a reduction in the height of airways surface liquid and subsequent dysfunctional mucociliary clearance. This defect results in chronic infection, which drives inflammation and subsequent lung destruction from proteolytic enzymes primarily from host neutrophils [5]. To significantly perturb this pathogenesis the current strategies are to optimize the clearance of infected mucus, reduce inflammation and treat acute and chronic infection [4]. However the ultimate goal is to find therapies that will correct the basic defect using strategies, such as gene therapy or small molecule correctors and potentiators [6,7]. In this edition of Therapy these issues are explored by a number of experts in the field. In most developed countries CF is diagnosed in the neonatal period following newborn screening programs. This allows for early preventative interventions which, if effective, could be disease modifying by preventing early infection [8]. Wainwright and colleagues discuss the importance of developing a proper evidence base for such interventions, in spite of the difficulty of designing studies in infants and small children where surrogate measures of lung function, for example, are difficult [9,10]. Therapies that correct the basic defect are likely to be most effective in this early stage of disease development. It is critically important that clinical trial design and outcome measures are developed to determine whether the exciting new therapies, such as potentiators and correctors, are truly disease modifying. There are a range of exciting new approaches with small molecules to modulate CFTR function, discussed by de Boeck and Cuppens [11]. Disease modifying drugs are currently in In this issue of Therapy, cystic fibrosis (CF), one of the most devastating autosomal recessive disorders in man is discussed. This condition, which was only properly recognized in the 1940s, had a very poor prognosis at that time with most children dying in their first decade of life [1]. Since then the introduction of multidisciplinary center care, the use of effective pancreatic enzyme replacement therapy and antipseudomonal antibiotics has progressively improved outcomes. Median survival in most developed countries is now around 40 years and the anticipated median survival for children born in the current decade is into the sixth decade of life [2]. This success has been achieved by improving nutrition and controlling infection and inflammation by optimizing the clearance of infected mucus from the airway and using aggressive antibiotic therapy. However, CF remains a life-shortening condition with median age of death still stubbornly in the mid-to-late 20s. New and transformative therapies are therefore required for this condition.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.506
Threshold uncertainty score0.274

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 head0.034
GPT teacher head0.304
Teacher spread0.270 · 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
Published2011
Admission routes1
Has abstractyes

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