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Exploring lnflammasome/Cytokine/lnsulin cascade as converging landscape for AD, Schizophrenia(SCHIZO);and COVID-19 syndrome: synthesis of evidence and Post-hoc analysis of Ginsana-115 RCT in treatment-resistant-schizophrenia

2023· preprint· en· W4385663782 on OpenAlexaff
Simon Chiu, Autumn Carriere, Mariwan Husni, Michel A. Woodbury-Fariña, Mujeeb U. Shad, Allison J. Foskett, Ana Hategan, Y Bureau, Edmund Lui, Jerry Hou

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldNeuroscience
TopicTryptophan and brain disorders
Canadian institutionsUniversity of AlbertaLawson Health Research InstituteMcMaster UniversityLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsDementiaSchizophrenia (object-oriented programming)NeurocognitiveMedicineMetabolic syndromeInternal medicineRandomized controlled trialPsychosisPost-hoc analysisInsulin resistancePsychiatryInsulinCognitionObesityDisease

Abstract

fetched live from OpenAlex

Background:COVID-19 pandemic calls into question whether AD and Very-late-onset­ schizophrenia-like psychosis (VLOSL): "dementia praecox" have higher COVID-19 risk and whether lnflammasome-Cytokine-insulin signaling casade (IFCI) mediates the dementia and psychosis link.Our objective is : 1) to conduct Pub-med search for IFCI) in AD, VLOSL and COVID-10 burden; 2a)to conduct post-hoc RCT analysis of Ginseng effect regarding cognitive impairment correlates with insulin resistance(IR) and cardio-metabolic risks (CMR) in schizophrenia Result: In Part1: our Pubmed search concludes Dementia syndrome carries higher mortality risk. A meta-analysis of 634,338 COVID-19 patients from 16 studies reveals that schizophrenia, and dementia, significantly increased risk of COVID-19 mortality and severity. Cardio-metabolic risk factors modify the link. A large Swedish cohort study and systematic review of 17studies found evidence of VLOSL carries higher risk of dementia. Aberrant IFCI correlated with COVID-19 severity. Effect sizes cannot be calculated due to sample heterogeneity. In Part 2: post-hoc analysis of Ginsana-115 (Boehringer-lngelheim-Pharmaton,Switzerland) of 8-week placebo­ controlled parallel group design in TRS subjects . Log-lR(insulin resistance) scores significantly correlated with spatial processing (p=0.017). Framingham-Risk-score correlated inversely with visual perception p = 0.040) and spatial processing (p=0.029) and neurocognitive index (p=0.090). Systolic blood pressure (sBP) correlated significantly and inversely with visual perception (p=0.032),speed (p=0.010),, spatial processing (p=0.034), HDL correlated with memory score:p=0.008. Brief­ Psychiatric-Rating-Scale:BPRS correlated significantly with executive reasoning ( p=0.047),memory (p=0.021), and mental inflexibility (p=0.026). Ginsana-115 at 100-mg/200-mg significantly reduced FRS by 24.1% compared with 16.1%(P<0.05) and systolic blood pressure (P<0.05) and significantly improved lipid profile in raising HDL and lowering LDL. Ginsana-115: 100 mg and 200 mg oral dosage, significantly improved negative symptom of apathy akin to AD. Conclusion: IFCI) appears to link COVID-19 syndrome, VLOSL overlapping with AD. L. Ginsana-115 effects in TRS highlight the therapeutic strategy of Diet, drug leads and Exercise targeting specifically IFCL·Iandscape in COVID-19 syndrome, AD and VLOSL.

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)0.011
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.016
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.181
GPT teacher head0.333
Teacher spread0.151 · 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 designMeta-analysis
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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Citations0
Published2023
Admission routes1
Has abstractyes

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