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Record W2063048477 · doi:10.1159/000117744

Measurement of the Plasmatic Level of Free and Protein-Bound Tryptophan in Mental Pathology

2008· article· en· W2063048477 on OpenAlexaff
P Deniker, H. Löo, E. Zarifian, H Cuché, K. Benyacoub, Carlos Escande, Bernard Bousquet, C Dreux

Bibliographic record

VenueNeuropsychobiology · 2008
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsSte. Anne's Hospital
Fundersnot available
KeywordsSchizophrenia (object-oriented programming)Paranoid schizophreniaPsychologyManiaMelancholiaPsychiatryAnxietyDepression (economics)PsychosisSerotoninTryptophanBipolar disorderMoodClinical psychologyInternal medicineMedicineChemistryBiochemistry

Abstract

fetched live from OpenAlex

Many authors have stressed the role of serotonin in mood disorders and some aspects of schizophrenia. Cerebral serotonin synthesis depends on the quantity of circulating free tryptophan not bound to albumin. It thus appeared interesting to estimate the two forms of tryptophan by measuring their plasmatic concentration as well as the free/total tryptophan ratio. These evaluations were performed by an automatic spectrofluorimetric method. 19 blood samples were analyzed from normal subjects and 47 from schizophrenic or manic-depressive patients including treated and untreated cases. The only significant differences in the free/total tryptophan ratio were reported in untreated paranoid schizophrenics and in anxiety cases. A dual nosological and symptomatical approach was adopted in the course of attempted correlation with biological data in order to underline the possible role of symptomatic elements common to different diagnoses. The results for melancholia agreed with those reported in the literature (4). In the case of schizophrenia, however, there are only a few reports and no discrimination has been made between untreated and treated patients or between the different types of schizophrenia. The clinical picture is different for paranoid schizophrenia which is the delusive aspect of the disease and for hebephrenic schizophrenia. It seems fairly logical to find opposite results in delusive mania and paranoid schizophrenia compared to melancholia, since delusive mania and paranoid schizophrenia have similar symptomatology which is the opposite of that found in melancholic depression.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.515
Threshold uncertainty score0.247

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.071
GPT teacher head0.272
Teacher spread0.201 · 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 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

Citations5
Published2008
Admission routes1
Has abstractyes

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