Evidence map›Paper›PMID 40989105›Full record

ArticleAntibody therapeutics2025

Opportunities in formulation development of antibody-based therapeutics.

Qingyan Hu, Yunsong Frank Li

Abstract readEditorial
In one paragraph

Article in Antibody therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Qingyan HuFormulation Development, Regeneron Pharmaceuticals, Tarrytown, NY 10591, United States.ORCID https://orcid.org/0009-0009-6726-547X
Yunsong Frank LiDrug Product Development, Biopharmaceuticals, Eli Lilly and Company, Indianapolis, IN 46221, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug product formulation transforms active pharmaceutical ingredients into drug products, ensuring stability, manufacturability, efficacy, and patient safety. Driven by biotech advancements and patient needs, new antibody-based therapies and combinations are expanding, significantly evolving the formulation landscape. This editorial provides an overview of formulations for antibody-based therapeutics and highlights a few hot topics and emerging trends, including high concentration formulations, fixed-dose combinations, novel excipients and delivery technologies, and AI integration. As the field progresses, innovative technologies and sustainable practices will be important in addressing the increasing demand for antibody-based therapies.

Indexed as

antibody-based theraputicsantibody formulationemerging formulation trendfixed-dose combinationhigh concentration formulationnovel excipient

Identifiers

PMID40989105
PMCPMC12451266

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.