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Record W7011274586

Level of middle mass molecules in synovial fluid of patients with rheumatoid arthritis

2021· article· en· W7011274586 on OpenAlexaboutno aff

Bibliographic record

VenueThe Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy · 2021
Typearticle
Languageen
FieldEngineering
TopicEngineering and Materials Science Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSynovial fluidRheumatoid arthritisRheumatoid factorBody fluidArthritisInflammatory arthritis
DOInot available

Abstract

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Background. Due to direct contact with cartilage, bone surface and synoviocytes, the study of synovial fluid in rheumatoid arthritis has a great diagnostic value, and changes in its indicators clearly correlate with the data of the morphological study of the affected articular tissues. In the synovial fluid of rheumatoid arthritis patients, protein substances of diffe-rent molecular mass and enzymes involved in the destruction of cartilage, tendons and ligaments are accumulated. At the same time, there are no reliable differential diagnostic biomarkers of synovial fluid in joint pathology. The purpose and objectives of the study: to establish the clinical and pathogenetic significance of medium molecular weight compounds of different fractions in the synovial fluid of patients with rheumatoid arthritis, the relationship with physicochemical disorders in the synovial fluid and the composition of surfactants in it. Materials and methods. The synovial fluid obtained from the knee, elbow and shoulder joints was studied in 21 patients with rheumatoid arthritis (mean age 50 years, male to female ratio of 1 : 2), among whom mo-derate and high degree of disease activity was established in all cases, III and IV stages of pathological process — in 61.9 %, extra-articular form of the disease — in 61.9 %, systemic osteoporosis — in 95.2 %, seropositivity for rheumatoid factor (RF) — in 90.5 %, for cyclic citrulline peptide antibodies (CCPA) — in 95.2 % of patients. To determine the middle mass molecules in the synovial fluid and blood serum, a screening method was used with trichloroacetic acid precipitation of proteins and determination of the light absorption spectra by the acid-soluble fraction. Protein and non-protein nitrogenous surfactants were studied using an Olympus-AU640 bioanalyzer (Japan), and interfacial tensiometry with calculating the surface tension ratio at an infinite surface lifetime for high molecular weight substances and at a time of 0.01 s for low-molecular weight compounds (ST∞/0,01 %) was carried out using a computer apparatus ADSA-Toronto (Germany-Canada). Results. The integral composition of medium molecular weight compounds in synovial fluid and blood depends on serum levels of RF and CCPA, and the rates of progression of articular syndrome are associated with indicators of nucleotide (NF) and chromatophore fractions (CF) of middle mass molecules, which, along with aminopeptide (AF) and peptide fractions (PF), determine the high activity of the dise-ase, bone-destructive changes in the joints (AF), bone mineral density (AF, PF, CF), the formation of bone erosions (AF) and intra-articular chondromic bodies (NF, CF), directly correlate with the content of immunoglobulin G in the synovial fluid (NF, CF), and CF is directly correlated with the presence of arthrocalcifications and Hoffa’s fat pads. Conclusions. In rheumatoid arthritis, middle mass molecules of different fractions in the synovial fluid are involved in the disease pathogenesis, depend on clinical, radiological and sonographic signs of the disease, can be used to predict the course of the pathological 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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.054
GPT teacher head0.254
Teacher spread0.200 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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