Evidence map›Paper›PMID 34428558›Full record

ReviewMolecular metabolism2021

Structural principles of insulin formulation and analog design: A century of innovation.

Mark A Jarosinski, Balamurugan Dhayalan, Yen-Shan Chen, Deepak Chatterjee, Nicolás Varas, Michael A Weiss

Open access · goldAbstract readHistorical ArticleReview
In one paragraph

Review in Molecular metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

21 citing papers in PubMed, 45 citations in OpenAlex.

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  16. International journal of molecular sciences · 2022
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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

6 authors at 3 institutions in 1 country.

Mark A JarosinskiDepartment of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, 46202, IN, USA.
Balamurugan DhayalanDepartment of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, 46202, IN, USA.
Yen-Shan ChenDepartment of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, 46202, IN, USA.
Deepak ChatterjeeDepartment of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, 46202, IN, USA.
Nicolás VarasDepartment of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, 46202, IN, USA.
Michael A WeissDepartment of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, 46202, IN, USA; Department of Chemistry, Indiana University, Bloomington, 47405, IN, USA; Weldon School of Biomedical Engineering, Purdue University, West Lafayette, 47907, IN, USA. Electronic address: weissma@iu.edu.
Indiana University – Purdue University Indianapolis · USIndiana University Bloomington · USIndiana University School of Medicine

Funding

Non-Standard Protein Design in Molecular Endocrinology: Insulin and GlucagonR01DK040949 · NIDDK · UNIVERSITY OF CHICAGO · PI CHERRINGTON, ALAN D, GEORGIADIS, MILLIE M · 1989 to 2024
$8.4M
Molecular engineering of complementary glucose-responsive conformational switches in insulin and glucagonR01DK127761 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI ISMAIL-BEIGI, FARAMARZ, LAWRENCE, MICHAEL COLIN · 2020 to 2022
$1.7M
NIDDK NIH HHS R01 DK040949NIDDK NIH HHS R01 DK127761
6 · The paper itself

Abstract

backgroundThe discovery of insulin in 1921 and its near-immediate clinical use initiated a century of innovation. Advances extended across a broad front, from the stabilization of animal insulin formulations to the frontiers of synthetic peptide chemistry, and in turn, from the advent of recombinant DNA manufacturing to structure-based protein analog design. In each case, a creative interplay was observed between pharmaceutical applications and then-emerging principles of protein science; indeed, translational objectives contributed to a growing molecular understanding of protein structure, aggregation and misfolding. SCOPE OF REVIEW: Pioneering crystallographic analyses-beginning with Hodgkin's solving of the 2-Zn insulin hexamer-elucidated general features of protein self-assembly, including zinc coordination and the allosteric transmission of conformational change. Crystallization of insulin was exploited both as a step in manufacturing and as a means of obtaining protracted action. Forty years ago, the confluence of recombinant human insulin with techniques for site-directed mutagenesis initiated the present era of insulin analogs. Variant or modified insulins were developed that exhibit improved prandial or basal pharmacokinetic (PK) properties. Encouraged by clinical trials demonstrating the long-term importance of glycemic control, regimens based on such analogs sought to resemble daily patterns of endogenous β-cell secretion more closely, ideally with reduced risk of hypoglycemia. MAJOR

conclusionsNext-generation insulin analog design seeks to explore new frontiers, including glucose-responsive insulins, organ-selective analogs and biased agonists tailored to address yet-unmet clinical needs. In the coming decade, we envision ever more powerful scientific synergies at the interface of structural biology, molecular physiology and therapeutics.

Indexed as

AnimalsBlood GlucoseChemistry, PharmaceuticalChemistry Techniques, SyntheticDiabetes MellitusDisease Models, AnimalDrug DesignHistory, 20th CenturyHistory, 21st CenturyHumansInsulinsProtein EngineeringBlood GlucoseInsulinsInsulin actionInsulin signalingMolecular pharmacologyPharmacodynamicsProtein engineering

Identifiers

PMID34428558
PMCPMC8513154
OpenAlexW3195382724

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.