Evidence map›Paper›PMID 36222303›Full record

ArticleProtein science : a publication of the Protein Society2022

Uncovering the promiscuous activity of IL-6 proteins: A multi-dimensional analysis of phylogeny, classification and residue conservation.

André da Costa, Ricardo Franco-Duarte, Raul Machado, Andreia C Gomes

Open access · hybridAbstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2022. 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
0.4field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 2 countries.

André da CostaCBMA - Centre of Molecular and Environmental Biology, Department of Biology, University of Minho, Braga, Portugal.ORCID 0000-0002-4098-2083
Ricardo Franco-DuarteCBMA - Centre of Molecular and Environmental Biology, Department of Biology, University of Minho, Braga, Portugal.ORCID 0000-0002-2333-6127
Raul MachadoCBMA - Centre of Molecular and Environmental Biology, Department of Biology, University of Minho, Braga, Portugal.ORCID 0000-0002-9477-9945
Andreia C GomesCBMA - Centre of Molecular and Environmental Biology, Department of Biology, University of Minho, Braga, Portugal.ORCID 0000-0002-0567-064X
Institute for Sustainability · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The IL-6 family of cytokines, known for their pleiotropic behavior, share binding to the gp130 receptor for signal transduction with the necessity to bind other receptors. Leukemia inhibitory factor receptor is triggered by the IL-6 family proteins: leukemia inhibitory factor (LIF), oncostatin-M (OSM), cardiotrophin-1 (CT-1), ciliary neurotrophic factor (CNTF), and cardiotrophin-like cytokine factor 1 (CLCF1). Besides the conserved binding sites to the receptor, not much is known in terms of the diversity and characteristics of these proteins in different organisms. Herein, we describe the sequence analysis of LIF, OSM, and CT-1 from several organisms, and m17, a LIF ortholog found in fishes, regarding its phylogenetics, intrinsic properties, and the impact of conserved residues on structural features. Sequences were identified in seven classes of vertebrates, showing high conservation values in binding site III, but protein-dependent results on binding site II. GRAVY, isoelectric point, and molecular weight parameters were relevant to differentiate classes in each protein and to enable, for the first time and with high fidelity, the prediction of both organism class and protein type just using machine learning approaches. OSM sequences from primates showed an increased BC loop when compared to the remaining mammals, which could influence binding to OSM receptor and tune signaling pathways. Overall, this study highlights the potential of sequence diversity analysis to understand IL-6 cytokine family evolution, showing the conservation of function-related motifs and evolution of class and protein-dependent characteristics. Our results could impact future medical treatment of disorders associated with imbalances in these cytokines.

Indexed as

Interleukin-6Receptors, CytokineAnimalsGrowth InhibitorsMammalsPhylogenyReceptors, OSM-LIFGrowth InhibitorsInterleukin-6Receptors, CytokineReceptors, OSM-LIFIL-6 cytokine familyleukemia inhibitory factormachine learningprotein evolutionsequence diversity analysis

Identifiers

PMID36222303
PMCPMC9601804
OpenAlexW4304758179

What OpenQuestion 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 OpenQuestion graph.