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Hyperglycemia in Stroke Impairs Polarization of Monocytes/Macrophages to a Protective Noninflammatory Cell Type

2016· article· en· W2507473720 on OpenAlexaff
Mahtab Ahmad Khan, Sina Schultz, Alaa Othman, Thomas Fleming, Rafael Lebrón‐Galán, Dirk Rades, Diego Clemente, Peter P. Nawroth, Markus Schwaninger

Bibliographic record

VenueJournal of Neuroscience · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced Glycation End Products research
Canadian institutionsIONICS Mass Spectrometry (Canada)
FundersUniversität ZürichDeutsche ForschungsgemeinschaftEuropean Commission
KeywordsGlycationMedicineDiabetes mellitusMonocyteInternal medicineStroke (engine)Macrophage polarizationEndocrinologyBrain damageInsulinMacrophageChemistryIn vitroBiochemistry

Abstract

fetched live from OpenAlex

UNLABELLED: Hyperglycemia is common in patients with acute stroke, even in those without preexisting diabetes, and denotes a bad outcome. However, the mechanisms underlying the detrimental effects of hyperglycemia are largely unclear. In a mouse model of ischemic stroke, we found that hyperglycemia increased the infarct volume and decreased the number of protective noninflammatory monocytes/macrophages in the ischemic brain. Ablation of peripheral monocytes blocked the detrimental effect of hyperglycemia, suggesting that monocytes are required. In hyperglycemic mice, α-dicarbonyl glucose metabolites, the precursors for advanced glycation end products, were significantly elevated in plasma and ischemic brain tissue. The receptor of advanced glycation end products, AGER (previously known as RAGE), interfered with polarization of macrophages to a noninflammatory phenotype. When Ager was deleted, hyperglycemia did not aggravate ischemic brain damage any longer. Independently of AGER, methylglyoxal reduced the release of endothelial CSF-1 (M-CSF), which stimulates polarization of macrophages to a noninflammatory phenotype in the microenvironment of the ischemic brain. In summary, our study identified α-dicarbonyls and AGER as mediators by which hyperglycemia lowers the number of protective noninflammatory macrophages and consequently increases ischemic brain damage. Modulating the metabolism of α-dicarbonyls or blocking AGER may improve the treatment of stroke patients with hyperglycemia. SIGNIFICANCE STATEMENT: Although glucose is the main energy substrate of the brain, hyperglycemia aggravates ischemic brain damage in acute stroke. So far, clinical trials have indicated that insulin treatment provides no solution to this common clinical problem. This study shows, in an experimental stroke model, that hyperglycemia interferes with the polarization of monocytes/macrophages to a protective cell type. Key players are α-dicarbonyls and the receptor for advanced glycation end products (AGER). Deletion of AGER normalized monocyte/macrophage polarization and reversed the detrimental effects of hyperglycemia, suggesting new avenues to treat stroke patients.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.173

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.014
GPT teacher head0.292
Teacher spread0.278 · 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

Citations57
Published2016
Admission routes1
Has abstractyes

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