A Phase I study to evaluate the safety, tolerance and pharmacokinetics of anti-Shiga toxin hyperimmune equine F(ab’) 2 fragments in healthy volunteers
Bibliographic record
Abstract
Shiga toxin-producing Escherichia coli-associated hemolytic uremic syndrome (STEC-HUS) is considered a toxemic disorder in which early intervention with neutralizing antibodies may have therapeutic benefits. INM004, composed of F(ab’) 2 fragments from equine immunoglobulins, neutralizes Stx1/Stx2, potentially preventing the onset of HUS. A single-center, randomized, Phase 1, single-blind, placebo-controlled clinical trial to evaluate INM004 safety, tolerance, and pharmacokinetics (PK) in healthy adult volunteers, was conducted; In Stage I, eight subjects were divided in two cohorts (n=4) to receive a single INM004 dose of 2 or 4 mg.kg-1, or placebo (INM004:placebo rate 3:1). In Stage II six subjects received either three INM004 doses of 4 mg.kg-1 repeated every 24 h, or placebo (INM004:placebo rate of 5:1). Hospital discharged was 24 hours after the last infusion. INM004 was quantified by ELISA in serum samples obtained at predefined times. Safety and tolerability were assessed in both Stages by monitoring adverse events (AEs), laboratory test values, and vital signs. Eight subjects (57.1%) experienced treatment-emergent AEs (TEAEs), that resolved within 24 hours without requiring changes in treatment or additional intervention. No serious AEs were reported. Most TEAEs were of mild or moderate intensity, and four were possibly drug-related. Peak concentrations (C max ) of INM004 were 45.1 µg.mL-1 and 77.7 µg.mL-1 for different doses, within two hours after infusion. The serum concentration declined in a biphasic manner (t 1/2 range 30.7-52.9 hours). Systemic exposures showed accumulation in the repeated dose regimen (C max Day1 85.7 vs.149 µg.mL-1 Day3). These results supporting progression into the phase 2 trial in children with HUS
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".