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Sodium‐coupled neutral amino acid transporter SNAT2 counteracts edema formation and reduces autophagy and ER stress in acute lung injury

2017· article· en· W3135833856 on OpenAlexafffund
Sarah Weidenfeld, Cécile Chupin, Simon Rozowsky, Wolfgang M. Kuebler

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAmino Acid Enzymes and Metabolism
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
FundersCanadian Institutes of Health Research
KeywordsAmino acidARDSAmino acid transporterAutophagyChemistryWestern blotPharmacologyLungBiochemistryApoptosisTransporterMedicineInternal medicine

Abstract

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Objective Acute respiratory distress syndrome (ARDS), the most frequent cause of death in intensive care, is characterized by an excessive inflammatory response, increased vascular permeability, edema formation, and impaired gas exchange. Recent studies have suggested deprivation of amino acids may aggravate lung injury while promoting apoptosis, ER stress, and autophagy. However, RCTs have failed to identify beneficial pharmaco‐nutritional interventions. This may point to a critical role of amino acid transporters in ARDS pathophysiology and its non‐human analogue acute lung injury (ALI). Sodium‐coupled neutral amino acid transporters (SNATs) mediate cellular uptake of amino acids along with Na + and are known to be upregulated in response to amino acid starvation. Here, we probed for the role of SNATs in a murine model of HCl‐ and LPS‐induced ALI and in a pulmonary epithelial cell culture system. Methods Expression of SNATs under basal conditions or after amino acid deprivation in epithelial cell lines (NCI‐H441/A549) and in isolated rat type‐I (ATI cells) was determined by PCR and Western blot. For measurement of L‐alanine transport, H441 cells were cultured on Transwell inserts in the presence or absence of amino acids and treated either with HgCl 2 , which inhibits SNATs, or siRNA (scramble or siSNAT2). Transport of L‐alanine from the upper to the lower compartment was analyzed by ELISA. For in vivo experiments, SNAT2 knockout ( slc38a2 −/− ), heterozygous ( slc38a2 +/− ) and wildtype ( slc38a2 +/+ ) mice were anesthetized and HCl or saline was instilled intratracheally. After 2 h of mechanical ventilation, lungs were collected for measurement of wet–to‐dry lung weight ratio (W/D) and protein extraction. In a second model of ALI, mice were anesthetized and LPS (0.4 mg/kg) was given intranasally. After 24 h, mice were euthanized and lungs were collected for protein extraction. Results Isolated ATI, H441, and A549 cells showed strong expression of SNAT2 after incubation in amino acid free medium. Under amino acid deprivation, H441 cells showed quantitative L‐alanine transport that was significantly decreased by treatment with HgCl 2 or siRNA silencing of SNAT2. Homozygous SNAT2 knockout mice were found to be sublethal and newborn pups typically succumbed to cyanotic dyspnea. In HCl‐induced ALI, W/D was elevated in slc38a2 −/− and slc38a2 +/− mice as compared to wildtype. Expression of ER stress and autophagy markers was increased in whole protein lysates of heterozygous mice compared to control in both models of ALI. Conclusion SNAT2 counteracts lung edema formation in acid‐induced ALI, presumably by mediating Na + uptake that drives alveolar fluid clearance. In LPS‐ and HCl‐induced lung injury, SNAT2 reduces ER stress and autophagy, putatively through its role as amino acid transporter. SNAT2 activation may, hence, provide a new multi‐pronged strategy to counteract ALI/ARDS. Support or Funding Information Supported by a CIHR grant to Dr. W.M. Kuebler

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.257
Teacher spread0.249 · 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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Citations2
Published2017
Admission routes2
Has abstractyes

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