Evidence map›Paper›PMID 27856796›Full record

ArticleScience translational medicine2016

Oral, ultra-long-lasting drug delivery: Application toward malaria elimination goals.

Andrew M Bellinger, Mousa Jafari, Tyler M Grant, Shiyi Zhang, Hannah C Slater, Edward A Wenger, Stacy Mo, Young-Ah Lucy Lee, Hormoz Mazdiyasni, Lawrence Kogan and 13 more

Abstract read
In one paragraph

Article in Science translational medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 1 pooled it
–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

101 citing papers in PubMed, 1 synthesis or guideline pooled it.

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41 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors.

Andrew M BellingerDepartment of Chemical Engineering and Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Mousa JafariDepartment of Chemical Engineering and Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Tyler M GrantDepartment of Chemical Engineering and Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Shiyi ZhangDepartment of Chemical Engineering and Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Hannah C SlaterDepartment of Infectious Disease Epidemiology, MRC (Medical Research Council) Centre for Outbreak Analysis and Modelling, Imperial College London, London, U.K.
Edward A WengerInstitute for Disease Modeling, Bellevue, WA 98005, USA.
Stacy MoDepartment of Chemical Engineering and Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Young-Ah Lucy LeeDepartment of Chemical Engineering and Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Hormoz MazdiyasniDepartment of Chemical Engineering and Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Lawrence KoganDepartment of Chemical Engineering and Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Ross BarmanDepartment of Chemical Engineering and Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Cody ClevelandDepartment of Chemical Engineering and Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Lucas BoothDepartment of Chemical Engineering and Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Taylor BenselDepartment of Chemical Engineering and Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Daniel MinahanDepartment of Chemical Engineering and Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Haley M HurowitzDepartment of Chemical Engineering and Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Tammy TaiDepartment of Chemical Engineering and Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Johanna DailyDivision of Infectious Diseases, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Boris NikolicBiomatics Capital, 1107 1st Avenue, Apartment 1305, Seattle, WA 98101, USA.
Lowell WoodInstitute for Disease Modeling, Bellevue, WA 98005, USA.
Philip A EckhoffInstitute for Disease Modeling, Bellevue, WA 98005, USA.
Robert LangerDepartment of Chemical Engineering and Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. rlanger@mit.edu ctraverso@partners.org.
Giovanni TraversoDepartment of Chemical Engineering and Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. rlanger@mit.edu ctraverso@partners.org.

Funding

TRAINING PROGRAM IN CARDIOVASCULAR RESEARCHT32HL007604 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MARK W FEINBERG · 1985 to 2026
$19.0M
CONTROLLED RELEASE OF MACROMOLECULESR01EB000244 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LANGER, ROBERT SAMUEL, TRAVERSO, CARLO GIOVANNI · 2002 to 2021
$6.1M
Controlled Release of MacromoleculesR37EB000244 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LANGER, ROBERT SAMUEL · 2008 to 2017
$3.9M
NHLBI NIH HHS T32 HL007604NIBIB NIH HHS R01 EB000244NIBIB NIH HHS R37 EB000244
6 · The paper itself

Abstract

Efforts at elimination of scourges, such as malaria, are limited by the logistic challenges of reaching large rural populations and ensuring patient adherence to adequate pharmacologic treatment. We have developed an oral, ultra-long-acting capsule that dissolves in the stomach and deploys a star-shaped dosage form that releases drug while assuming a geometry that prevents passage through the pylorus yet allows passage of food, enabling prolonged gastric residence. This gastric-resident, drug delivery dosage form releases small-molecule drugs for days to weeks and potentially longer. Upon dissolution of the macrostructure, the components can safely pass through the gastrointestinal tract. Clinical, radiographic, and endoscopic evaluation of a swine large-animal model that received these dosage forms showed no evidence of gastrointestinal obstruction or mucosal injury. We generated long-acting formulations for controlled release of ivermectin, a drug that targets malaria-transmitting mosquitoes, in the gastric environment and incorporated these into our dosage form, which then delivered a sustained therapeutic dose of ivermectin for up to 14 days in our swine model. Further, by using mathematical models of malaria transmission that incorporate the lethal effect of ivermectin against malaria-transmitting mosquitoes, we demonstrated that this system will boost the efficacy of mass drug administration toward malaria elimination goals. Encapsulated, gastric-resident dosage forms for ultra-long-acting drug delivery have the potential to revolutionize treatment options for malaria and other diseases that affect large populations around the globe for which treatment adherence is essential for efficacy.

Indexed as

Drug Delivery SystemsAdministration, OralAnimalsAntimalarialsCapsulesCulicidaeDelayed-Action PreparationsDrug LiberationEndoscopyFinite Element AnalysisHumansIvermectinMalariaModels, TheoreticalPolymersStomachAntimalarialsCapsulesDelayed-Action PreparationsIvermectinPolymers

Identifiers

PMID27856796
PMCPMC5264553

What OpenQuestion holds

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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.