Evidence map›Paper›PMID 39291031›Full record

ArticleACS medicinal chemistry letters2024

Nicotinic Acid Derivatives As Novel Noncompetitive α-Amylase and α-Glucosidase Inhibitors for Type 2 Diabetes Treatment.

Andrea Citarella, Miriam Cavinato, Elena Rosini, Haidi Shehi, Federico Ballabio, Carlo Camilloni, Valerio Fasano, Alessandra Silvani, Daniele Passarella, Loredano Pollegioni and 1 more

Abstract read
In one paragraph

Article in ACS medicinal chemistry letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

11 authors.

Andrea CitarellaDepartment of Chemistry, University of Milan, Via Golgi 19 20133 Milano, Italy.ORCID https://orcid.org/0000-0001-5881-7142
Miriam CavinatoDepartment of Biosciences, University of Milan, Via Celoria 26, 20133 Milano, Italy.
Elena RosiniDepartment of Biotechnology and Life Sciences, University of Insubria, Via J.H. Dunant 3, 21100 Varese, Italy.ORCID https://orcid.org/0000-0001-8384-7992
Haidi ShehiDepartment of Biosciences, University of Milan, Via Celoria 26, 20133 Milano, Italy.
Federico BallabioDepartment of Biosciences, University of Milan, Via Celoria 26, 20133 Milano, Italy.ORCID https://orcid.org/0000-0001-5702-3674
Carlo CamilloniDepartment of Biosciences, University of Milan, Via Celoria 26, 20133 Milano, Italy.ORCID https://orcid.org/0000-0002-9923-8590
Valerio FasanoDepartment of Chemistry, University of Milan, Via Golgi 19 20133 Milano, Italy.ORCID https://orcid.org/0000-0003-1819-4483
Alessandra SilvaniDepartment of Chemistry, University of Milan, Via Golgi 19 20133 Milano, Italy.ORCID https://orcid.org/0000-0002-0397-2636
Daniele PassarellaDepartment of Chemistry, University of Milan, Via Golgi 19 20133 Milano, Italy.ORCID https://orcid.org/0000-0001-6180-9581
Loredano PollegioniDepartment of Biotechnology and Life Sciences, University of Insubria, Via J.H. Dunant 3, 21100 Varese, Italy.ORCID https://orcid.org/0000-0003-1733-7243
Marco NardiniDepartment of Biosciences, University of Milan, Via Celoria 26, 20133 Milano, Italy.ORCID https://orcid.org/0000-0002-3718-2165

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A library of novel nicotinic acid derivatives, focusing on the modification of position 6 of the pyridine ring with (thio)ether functionalities, was mostly produced through an innovative green synthetic approach (Cyrene-based) and evaluated for their α-amylase and α-glucosidase inhibitory activity. Compounds

Identifiers

PMID39291031
PMCPMC11403757

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.