Analysis of historical data to accelerate deletion of Abnormal Toxicity Test requirement for biologicals and vaccines

Abnormal Toxicity Test (ATT) is performed as quality control test by manufacturers and National Control Laboratory (NCL) to ensure safety of biologicals. However, stakeholders are in general consensus that extraneous toxic contaminations are extremely unlikely where Good Manufacturing Practices (GMPs) and consistent production have been established. This test requiring mice and guinea pigs is still a regulatory requirement for the batch release of biologicals in several countries although it has been deleted by some National Regulatory Authorities (NRAs) and Pharmacopoeias while some are still working on its elimination. Therefore, ten years historic data of ATT performed at National Institute of Biologicals (NIB), India on 4813 batches of biologicals including blood and related products, enzymes, hormones and vaccines by using 33637 animals was analyzed. As per Indian Pharmacopeia (IP), 4783 batches of these biologicals passed the test. The test had to be repeated in 30 batches, all of which were blood products and the repetition rate was 0.62 %. Further, after repeat testing, all these 30 batches also passed the test. This data will help the regulatory authorities of countries where ATT is still a requirement, take appropriate decision regarding its deletion. The elimination of ATT from specific monographs of these biologicals will help save many thousands of animals being used globally for this test.

Authors

Institutions

Publication Details

Journal
Toxicology Reports
Published
2024-11-15
DOI
https://doi.org/10.1016/j.toxrep.2024.101815
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of historical data to accelerate deletion of Abnormal Toxicity Test requirement for biologicals and vaccines

Suresh Kumar, Harish Chander, Priya Sharma, Rambha Kumari et al.
Toxicology Reports
Computational Drug Discovery Methods
article

Analysis of historical data to accelerate deletion of Abnormal Toxicity Test requirement for biologicals and vaccines

Suresh Kumar, Harish Chander, Priya Sharma, Rambha Kumari, Farha Deeba, Lakhan Kumar, A. K. Pal, Satya P. Yadav, Anup Anvikar, Mohit Chaudhary
article en

Abstract

Abnormal Toxicity Test (ATT) is performed as quality control test by manufacturers and National Control Laboratory (NCL) to ensure safety of biologicals. However, stakeholders are in general consensus that extraneous toxic contaminations are extremely unlikely where Good Manufacturing Practices (GMPs) and consistent production have been established. This test requiring mice and guinea pigs is still a regulatory requirement for the batch release of biologicals in several countries although it has been deleted by some National Regulatory Authorities (NRAs) and Pharmacopoeias while some are still working on its elimination. Therefore, ten years historic data of ATT performed at National Institute of Biologicals (NIB), India on 4813 batches of biologicals including blood and related products, enzymes, hormones and vaccines by using 33637 animals was analyzed. As per Indian Pharmacopeia (IP), 4783 batches of these biologicals passed the test. The test had to be repeated in 30 batches, all of which were blood products and the repetition rate was 0.62 %. Further, after repeat testing, all these 30 batches also passed the test. This data will help the regulatory authorities of countries where ATT is still a requirement, take appropriate decision regarding its deletion. The elimination of ATT from specific monographs of these biologicals will help save many thousands of animals being used globally for this test.

Toxicology ReportsVol. 13
National Institute of Health and Family Welfare (IN), Ministry of Health and Family Welfare (IN)
Ministry of Health and Family Welfare
Zero hunger
Openalex Percentile: Top 75%
Computational Drug Discovery Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.