Evidence map›Paper›PMID 38313028›Full record

ArticlePeerJ2024

Insulin signaling and pharmacology in humans and in corals.

Meghana Hosahalli Shivananda Murthy, Paniz Jasbi, Whitney Lowe, Lokender Kumar, Monsurat Olaosebikan, Liza Roger, Jinkyu Yang, Nastassja Lewinski, Noah Daniels, Lenore Cowen and 1 more

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 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
0.8field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
  3. Computational Analysis of Deleterious nsSNPs inJournal of personalized medicine · 2024
    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 at 6 institutions in 1 country.

Meghana Hosahalli Shivananda MurthySchool of Molecular Sciences, Arizona State University, Phoenix, AZ, USA.
Paniz JasbiSchool of Molecular Sciences, Arizona State University, Phoenix, AZ, USA.
Whitney LoweDepartments of Chemistry & Physics, Colorado School of Mines, Golden, CO, United States.
Lokender KumarDepartments of Chemistry & Physics, Colorado School of Mines, Golden, CO, United States.
Monsurat OlaosebikanDepartment of Computer Science, Tufts University, Medford, MA, USA.
Liza RogerSchool of Molecular Sciences, Arizona State University, Phoenix, AZ, USA.
Jinkyu YangDepartment of Aeronautics & Astronautics, University of Washington, Seattle, WA, USA.
Nastassja LewinskiDepartment of Chemical and Life Science Engineering, Virginia Commonwealth University, Richmond, VA, USA.
Noah DanielsDepartment of Computer Science, University of Rhode Island, Kingston, RI, USA.
Lenore CowenDepartment of Computer Science, Tufts University, Medford, MA, USA.
Judith Klein-SeetharamanSchool of Molecular Sciences, Arizona State University, Phoenix, AZ, USA.
Arizona State University · USColorado School of Mines · USTufts University · USAmerican Institute of Aeronautics and Astronautics · USUniversity of Rhode Island · USVirginia Commonwealth University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Once thought to be a unique capability of the Langerhans islets in the pancreas of mammals, insulin (INS) signaling is now recognized as an evolutionarily ancient function going back to prokaryotes. INS is ubiquitously present not only in humans but also in unicellular eukaryotes, fungi, worms, and

Indexed as

AnthozoaIslets of LangerhansAnimalsHumansInsulinPancreasSignal TransductionInsulinEvolutionMetabolismNon-model organismsSignal transductionStructural biologySystems biology

Identifiers

PMID38313028
PMCPMC10838073
OpenAlexW4391401048

What Socratic holds

Textmetadata
LicenceCC BY
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.