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Molecular Viscometer Identified a Population of Mucin Granules of Higher Viscosity in Cystic Fibrosis Cells

2020· article· en· W3016497470 on OpenAlexaffabout
Olga Ponomarchuk, Francis Boudreault, Emmanuelle Brochiero, Ignacy Gryczyński, Sergei V. Dzyuba, Rafał Fudala, Zygmunt Gryczyński, Ryszard Grygorczyk

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMicroviscosityMucinMucusChemistryPopulationMicrorheologyViscometerBiophysicsViscosityChromatographyBiochemistryMaterials scienceMembraneBiologyViscoelasticityMedicine

Abstract

fetched live from OpenAlex

The cystic fibrosis (CF) disease is characterized by abnormally thick and sticky mucus. Normal airway mucus has bulk viscosity (macroviscosity) in the range of 12–15×10 3 cP increasing to 14–110×10 3 cP for CF patients. At micro‐length scale (≤1 μm), due to the presence of fluid‐filled spaces between mucin fibers, mucus microrheological properties are similar to that of water (~1 cP). However, they are only slightly higher in CF mucus (~3 cP). Our study was designed to verify if similar viscosity differences exist between normal and CF mucin granules and secreted mucus. We used a custom‐designed membrane‐permeant molecular viscometer (phenyl‐BODIPY) and fluorescence lifetime imaging microscopy (FLIM) to study the microviscosity of mucin granules and secreted mucus. FLIM microviscosity measurements were validated in calibration experiments with sucrose (low microviscosity range), glycerol (high microviscosity range), agarose (gel‐like structure) and reconstituted mucus of isolated bovine mucin proteins in solution. Human bronchial epithelial (HBE) cells, isolated from tissues of 4 normal and 5 CF donors, were seeded on filters and cultured at the air‐liquid interface. FLIM measurements revealed that median values of microviscosity for normal granules are 41±7 cP (n filters =30) and 49±11 cP (n filters =31) for CF granules (p<0.001, Mann–Whitney U test). Next, we classified mucin granules in three categories based on their microviscosity: low (1–30 cP), medium (30–60 cP) and high (>60 cP). The quantity of granules with medium microviscosity does not differ between normal (74%) and CF (77%) donors. However, normal phenotype was characterized by the presence of a larger fraction of low microviscosity mucin granules (19%) compared to CF (4%), while CF phenotype displayed a larger proportion of high microviscosity granules (19%) compared to normal (7%). Raising the pH inside granules by blocking H + ‐ATPase with 10 nM bafilomycin lowered microviscosity values of CF granules towards normal phenotype. Microviscosity of secreted mucus covering HBE cells was measured in situ and reached values of 147±54 cP (n filters =7) for normal donors and 198±75 cP (n filters =7) for CF donors. Our study demonstrates the presence of a subpopulation of mucin granules with higher microviscosity in CF that is less pronounced in normal patients. FLIM microviscosity measurements of secreted mucus show much higher values than expected for a water‐filled interfiber spaces in a gel. This may indicate that mucus covering HBE cells resembles an amorphous colloid rather than a well‐structured hydrogel. Relative differences in mucus microviscosity between normal and CF, however, are much smaller than those reported for a bulk viscosity of mucus collected from patients. Support or Funding Information Supported by the Cystic Fibrosis Canada (R.G.) and CIHR PJT148593 (E.B.).

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.294
Teacher spread0.274 · 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".

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Citations1
Published2020
Admission routes2
Has abstractyes

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