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Record W7066201947

Flexing the innate immune arm within the human central nervous system : implications for multiple sclerosis

2007· dissertation· en· W7066201947 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2007
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicElectrical and Electromagnetic Research
Canadian institutionsnot available
FundersNational Institute of Neurological Disorders and StrokeNational Institute of Mental HealthVA Greater Los Angeles Healthcare SystemGemeinnützige Hertie-StiftungBundesministerium für Bildung und ForschungDeutsche ForschungsgemeinschaftFonds de Recherche du Québec - SantéMultiple Sclerosis Society of CanadaMultiple Sclerosis SocietyCanadian Institutes of Health ResearchU.S. Department of Veterans Affairs
KeywordsCentral nervous systemMultiple sclerosisNeuroinflammationMicrogliaImmune systemContext (archaeology)Antigen presentationMajor histocompatibility complex
DOInot available

Abstract

fetched live from OpenAlex

In the inflammatory brain lesions characteristic of multiple sclerosis (MS), both infiltrating macrophages and their central nervous system counterparts, the resident microglia, are present in large numbers and, along with reactive astrocytes, are implicated as potential antigen presenting cells (APC)s. The demyelinating pathology associated with the infiltration of self-reactive T cells in MS requires local antigenic re-stimulation in the context of major histocompatibility complex (MHC) molecules. Human microglia and, less commonly, astrocytes, have been found to express APC molecules in MS brains. This, combined with the potential for production of immunomodulatory and toxic mediators upon activation, highlights the central role for these glial cells in neuroinflammation and, particularly, in MS. Toll-like receptors (TLR)s were recently identified as key mediators signaling the activation of innate immune responses. We hypothesized that TLR ligation by human microglia and/or astrocytes can trigger an APC-like maturation process in the CNS, tailored to the environmental ligand, which can then dictate and polarize subsequent immune responses. We further hypothesize that oligodendrocytes are particularly sensitive to injury mediated by specific reactive oxygen/nitrogen species produced following the activation of these glial cells. Expression and function of TLRs in the human brain was largely unknown at the onset of this work. Using cells isolated from surgically resected normal appearing white matter, we found that human microglia express mRNA for TLRs 1-9, whereas only TLR3 is expressed robustly by human astrocytes. By flow cytometry, we established that microglia strongly express cell surface TLR2 and intracellular TLR3, while TLR4 is expressed below detection levels. Astrocytes were found to restrict their protein expression and functional responses to TLR3. In contrast, microglia responded to the ligation of TLRs 2, 3 and 4. In line with its unique signaling, TLR3 induced the strongest activation program in microglia, characterized by high level production of classical pro-inflammatory cytokines (TNF-alpha and IL-6), the essential polarizing cytokines IL-12 (concomitant with IL-10) and IL-23, known to result in Th1- and Th17-type CD4+ T cell responses, as well as the prototypical type I IFN response, including IFN-alpha, IFN-beta, and CXCL-10 production. TLR4- and, particularly, TLR2-mediated microglial activation was found to be more selective and less polarizing. Production of type I IFN and associated responses was absent downstream of TLR2. We hereby established that TLR-mediated activation of human microglia can instruct the subsequent mode of adaptive immune response. Both TLR3 and TLR4 ligation increased microglial MHC and classical co-stimulatory (CD80, CD86) molecule expression on the cell surface, while TLR2 led to a more limited response. Only TLR3 ligation induced CD40 expression. While TLR-mediated microglial activation did not result in increased allogeneic CD4+ T cell proliferation, the secretion of the classical Th1-cytokine IFN-gamma was significantly elevated in allogeneic co-cultures of TLR3 pre-activated microglia and CD4+ T cells. TLR3 ligation also induced significantly higher levels of T cell death in these co-cultures. TLR2-mediated pre-activation led to a trend towards Th2-polarized cytokine secretion (IL-5, IL-13) in these same cultures, while ligation of all three TLRs led to high level IL-6 responses, indicative of generalized activation responses. Collectively, these data indicate that TLR-mediated CNS innate immune cellular activation can be tailored to the environmental trigger, which can then shape the profile of the adaptive immune response. Nitric oxide (NO) and its more potent byproduct, peroxynitrite (ONOO), are implicated as microglia and astrocyte-derived toxic mediators in MS pathology. We established that human oligodendrocytes are surprisingly resistant to NO-mediated damage in vitro and, in fact, show increased metabolic activity following repeated exposure to NO. In contrast, oligodendrocytes were highly susceptible to ONOO--mediated cell death. We further establish that oligodendrocytes in MS lesions can display nitrotyrosine residues, indicative of ONOO- production and potential toxicity during the course of disease. In summary, TLR-signaling can dictate the activation profile of human CNS APCs and therefore subsequent local immune responses; furthermore, upon activation in the CNS, the production of ONOO- has the capacity to specifically injure oligodendrocytes, placing microglia and astrocytes at the core of the MS disease process.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.038

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 studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.001

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 head0.033
GPT teacher head0.284
Teacher spread0.251 · 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 designObservational
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
Published2007
Admission routes1
Has abstractyes

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