Evidence map›Paper›PMID 34215997›Full record

ArticleDrug delivery and translational research2022

Development and characterization of composition-equivalent formulations to the Sandostatin LAR® by the solvent evaporation method.

Avital Beig, Linglin Feng, Jennifer Walker, Rose Ackermann, Justin K Y Hong, Tinghui Li, Yan Wang, Steven P Schwendeman

Abstract read
PubMed Publisher
In one paragraph

Article in Drug delivery and translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. 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

8 authors at 3 institutions in 1 country.

Avital BeigDepartment of Pharmaceutical Sciences and the Biointerfaces Institute, University of Michigan, 2800 Plymouth Road, Ann Arbor, MI, 48109, USA.
Linglin FengDepartment of Pharmaceutical Sciences and the Biointerfaces Institute, University of Michigan, 2800 Plymouth Road, Ann Arbor, MI, 48109, USA.
Jennifer WalkerDepartment of Pharmaceutical Sciences and the Biointerfaces Institute, University of Michigan, 2800 Plymouth Road, Ann Arbor, MI, 48109, USA.
Rose AckermannDepartment of Pharmaceutical Sciences and the Biointerfaces Institute, University of Michigan, 2800 Plymouth Road, Ann Arbor, MI, 48109, USA.
Justin K Y HongDepartment of Pharmaceutical Sciences and the Biointerfaces Institute, University of Michigan, 2800 Plymouth Road, Ann Arbor, MI, 48109, USA.
Tinghui LiDepartment of Pharmaceutical Sciences and the Biointerfaces Institute, University of Michigan, 2800 Plymouth Road, Ann Arbor, MI, 48109, USA.
Yan WangEvaluation and Research, Office of Research and Standards, Office of Generic Drugs, Center for Drug, U.S. Food and Drug Administration, 10903 New Hampshire Ave, Silver Spring, MA, 20993, USA.
Steven P SchwendemanDepartment of Pharmaceutical Sciences and the Biointerfaces Institute, University of Michigan, 2800 Plymouth Road, Ann Arbor, MI, 48109, USA. schwende@umich.edu.
University of Michigan–Ann Arbor · USBioSurfaces (United States) · USCenter for Drug Evaluation and Research · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sandostatin long-acting release® (SLAR) is a long-acting injectable somatostatin analogue formulation composed of octreotide encapsulated in glucose-initiated poly(lactic-co-glycolic acid) (PLGA) microspheres. Despite the end of patent protection, SLAR remains resistant to generic competition likely due to complexity of production process, the uniqueness of the glucose star polymer, and the instability of octreotide in the formulation. Here, we describe development of glucose-PLGA-based composition-equivalent to SLAR formulations prepared by double emulsion-solvent evaporation method and the effect of variations in encapsulation variables on release kinetics and other formulation characteristics. The following encapsulation variables were adjusted at constant theoretical loading of 7.0% peptide: PLGA concentration, pH of inner water phase, and stirring rate. After final drying, the microspheres were examined with and without annealing at 50 °C under vacuum for 3 days. The loading and encapsulation efficiency (EE) of octreotide acetate, manufacturing yield, and in vitro drug release kinetics in PBStc (10 mM phosphate-buffered saline (PBS) with 1% triethyl citrate and 0.02% sodium azide at pH 7.4) were determined by UPLC. The in vitro release and acylation kinetics of octreotide for the solvent evaporation formulations prepared were similar to SLAR although the initial burst was slightly higher. Key formulation steps identified to maximize microsphere yield and minimize residual solvent and initial burst release included (a) addition of acetic acid to the peptide before preparation and (b) annealing the microspheres under vacuum after drying. Controlled release octreotide formulations prepared and investigated in this study could provide a better understanding of the effect of production variables on release performance and supply information useful for making progress in manufacturing of SLAR generic equivalents.

Indexed as

OctreotidePolyglycolic AcidDelayed-Action PreparationsGlucoseLactic AcidMicrospheresParticle SizePolylactic Acid-Polyglycolic Acid CopolymerSolventsDelayed-Action PreparationsGlucoseLactic AcidOctreotidePolyglycolic AcidPolylactic Acid-Polyglycolic Acid CopolymerSolventsLong-term controlled releaseMicroencapsulationPeptidePoly(lactic-co-glycolic acid) microspheres

Identifiers

PMID34215997
OpenAlexW3177138598

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.