Evidence map›Paper›PMID 38425548›Full record

ArticleLife metabolism2024

Size matters: the biochemical logic of ligand type in endocrine crosstalk.

Jameel Barkat Lone, Jonathan Z Long, Katrin J Svensson

Abstract read
In one paragraph

Article in Life metabolism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Jameel Barkat LoneDepartment of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Jonathan Z LongDepartment of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Katrin J SvenssonDepartment of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA.

Funding

Chemical interrogation of metabolic tissue crosstalkDP1DK130641 · NIDDK · STANFORD UNIVERSITY · PI LONG, JONATHAN Z · 2021 to 2025
$3.9M
Mechanisms controlling fructose uptake and utilizationR01DK125260 · NIDDK · STANFORD UNIVERSITY · PI Katrin Jennifer Svensson · 2020 to 2026
$3.5M
Role of a lactate-derived signaling metabolite in tissue crosstalk and energy balanceR01DK136526 · NIDDK · STANFORD UNIVERSITY · PI Jonathan Z Long · 2023 to 2026
$2.0M
Chemical control of energy metabolism by N-acyl amino acidsR01DK124265 · NIDDK · STANFORD UNIVERSITY · PI LONG, JONATHAN Z · 2020 to 2024
$2.0M
American Heart Association-American Stroke Association 23IPA1042031NIDDK NIH HHS DP1 DK130641NIDDK NIH HHS R01 DK124265NIDDK NIH HHS R01 DK125260NIDDK NIH HHS R01 DK136526
6 · The paper itself

Abstract

The endocrine system is a fundamental type of long-range cell-cell communication that is important for maintaining metabolism, physiology, and other aspects of organismal homeostasis. Endocrine signaling is mediated by diverse blood-borne ligands, also called hormones, including metabolites, lipids, steroids, peptides, and proteins. The size and structure of these hormones are fine-tuned to make them bioactive, responsive, and adaptable to meet the demands of changing environments. Why has nature selected such diverse ligand types to mediate communication in the endocrine system? What is the chemical, signaling, or physiologic logic of these ligands? What fundamental principles from our knowledge of endocrine communication can be applied as we continue as a field to uncover additional new circulating molecules that are claimed to mediate long-range cell and tissue crosstalk? This review provides a framework based on the biochemical logic behind this crosstalk with respect to their chemistry, temporal regulation in physiology, specificity, signaling actions, and evolutionary development.

Indexed as

endocrineevolutionligand sizemetabolitessignaling

Identifiers

PMID38425548
PMCPMC10904031

What Socratic holds

Textmetadata
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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.