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Insulin Signaling Suppresses Virus Replication and Neuroinflammation in HIV/AIDS (S53.005)

2016· article· en· W2590402514 on OpenAlexaff
Manmeet K. Mamik, Eugene L. Asahchop, Yu Zhu, Brienne McKenzie, William G. Branton, Christopher Power

Bibliographic record

VenueNeurology · 2016
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsNeuroinflammationReplication (statistics)Human immunodeficiency virus (HIV)VirologyVirusViral replicationMedicineImmunologyInflammation

Abstract

fetched live from OpenAlex

Objective: To investigate the effects of insulin receptor activation using in vitro and in vivo models of HAND. Background: HIV/AIDS results in neuroinflammation with HIV-associated neurocognitive disorder (HAND) in over 25[percnt] of patients despite available antiretroviral therapy. Experimental studies report insulin treatment suppresses inflammation and HIV-1 replication in leukocytes. Methods: Cerebral white matter from HIV-infected and uninfected patients was investigated using molecular and morphological analyses. Primary human microglia were infected with HIV-1 and treated with/without insulin for 5 days, followed by analyses of viral production and host responses. Primary human neurons were exposed to HIV-1 Vpr and treated with/without insulin followed by cytotoxicity assays. Feline immunodeficiency virus (FIV)-infected cats were treated daily for 6 weeks with intranasal (IN) insulin or vehicle (PBS) with subsequent neurobehavioral, molecular and neuropathological analyses. Results: Increased neuroinflammatory gene expression (e.g., IL-6, CXCL10, MHC Class II) was evident but PPAR-γ expression was suppressed in brains from patients with HIV encephalitis (p<0.05). Similar expression of insulin and IGF-1 receptors was evident on glia and neurons in each clinical group. HIV-infected microglia showed reduced supernatant HIV-1 p24 levels during insulin treatment (p<0.05), which was accompanied by reduced CXCL10 and IL-6 transcript levels; conversely, insulin induced PPAR-γ expression in HIV-infected microglia. Insulin treatment of neurons prevented neuronal injury caused by HIV-1 Vpr-mediated cytotoxicity (p<0.05). Insulin (IN) treatment suppressed CXCL10 and IL-6 expression in brains of FIV-infected animals (p<0.05). Reduced FIV transcript (pol) and protein (gag) levels and increased PPAR-γ levels (p<0.05) were observed in brains of insulin-treated FIV-infected animals, which was accompanied by reduced gliosis. Insulin (IN) therapy in FIV-infected animals improved neurological status including both memory and motor performances (p<0.05). Conclusions: Insulin receptor signaling exerts antiviral and anti-inflammatory actions with potential therapeutic effects on the brain and might serve as a valuable adjunct treatment for HAND.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Bench or experimentallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Bench or experimentalhigh
models agreeAgreement compares identical category sets and study designs across arms.

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 score0.003
Threshold uncertainty score0.012

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)0.0030.001

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 head0.251
Teacher spread0.237 · 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

Labeled directly by 2 models reading the full record.

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
Published2016
Admission routes1
Has abstractyes

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