Evidence map›Paper›PMID 39866596›Full record

ArticleACS omega2025

Deciphering the Topology of Sitagliptin Using an Integrated Approach.

Renny Mathew, Brijith Thomas

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Renny MathewScience Division, New York University Abu Dhabi, P.O. Box 129188, Abu Dhabi, United Arab Emirates.
Brijith ThomasScience Division, New York University Abu Dhabi, P.O. Box 129188, Abu Dhabi, United Arab Emirates.ORCID https://orcid.org/0000-0003-3590-0992

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Determining the structure of sitagliptin is crucial for ensuring its effectiveness and safety as a DPP-4 inhibitor used to treat type 2 diabetes. Accurate structure determination is vital for both drug development and maintaining quality control in manufacturing. This study integrates the advanced techniques of solid-state nuclear magnetic resonance (NMR) spectroscopy, three-dimensional (3D) electron diffraction, and density functional theory (DFT) calculations to investigate the structural intricacies of sitagliptin. Solid-state NMR provides detailed information on the molecular environment, revealing insights into the atomic-level structure. The DFT calculations complement these experimental findings by offering theoretical insights into the electronic structure and helping validate the NMR data. Dynamic nuclear polarization has recently emerged as a cornerstone approach to enhance the sensitivity of solid-state NMR spectroscopy under magic angle spinning (MAS), opening unprecedented analytical opportunities. In this work, we incorporated the latest state-of-the art dynamic nuclear polarization NMR into 3D ED NMR crystallography. The findings from this study have important implications for the pharmaceutical industry, particularly in enhancing the precision of drug development and ensuring the high quality of diabetes treatments. Overall, this combined methodological approach not only advances the structural characterization of sitagliptin but also sets a precedent for analyzing other pharmaceutical compounds of similar complexity.

Identifiers

PMID39866596
PMCPMC11755177

What OpenQuestion holds

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Registered trials

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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.