Evidence map›Paper›PMID 36627448›Full record

ArticlePharmaceutical research2023

Direct Assessment of Oligomerization of Chemically Modified Peptides and Proteins in Formulations using DLS and DOSY-NMR.

Kai Wang, Kang Chen

Abstract read
PubMed Publisher
In one paragraph

Article in Pharmaceutical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Role of stereochemistry on electron transport in peptides.bioRxiv : the preprint server for biology · 2026
    Article
  3. Methyl Proton Spin Relaxation (Analytical chemistry · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Nucleic Acid Delivery.Pharmaceutical research · 2023
    Article
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 at 1 institution in 1 country.

Kai WangDivision of Complex Drug Analysis, Office of Testing and Research, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, 20993, USA.
Kang ChenDivision of Complex Drug Analysis, Office of Testing and Research, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, 20993, USA. kang.chen@fda.hhs.gov.ORCID http://orcid.org/0000-0003-0276-2474
United States Food and Drug Administration · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeProtein higher order structure (HOS) including the oligomer distribution can be critical for efficacy, safety and stability of drug products (DP). Oligomerization is particularly relevant to chemically modified protein therapeutics that have an extended pharmacokinetics profile. Therefore, the direct assessment of protein oligomerization in drug formulation is desired for quality assurance and control.

methodsHere, two non-invasive methods, dynamic light scattering (DLS) and diffusion ordered spectroscopy (DOSY) NMR, were applied to measure translational diffusion coefficients (D

resultsAn exponent value of -0.40 ± 0.01 was established for DLS measured log(D) vs. log(MW

conclusionThe correlation models of log(D) vs. log(MW

Indexed as

PeptidesProteinsDynamic Light ScatteringGlucagon-Like Peptide 1Magnetic Resonance SpectroscopyGlucagon-Like Peptide 1PeptidesProteinshydrodynamic molecular weight (MWhd)icatibantinsulin degludecliraglutideoligomerization equilibriumpegfilgrastimpeginterferon alfa-2apegvisomantsemaglutidetranslational diffusion coefficient

Identifiers

PMID36627448
OpenAlexW4315432785

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.