Evidence map›Paper›PMID 38977583›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

The Interplay of Lipid Signaling in Musculoskeletal Cross Talk: Implications for Health and Disease.

Ahmed Al Saedi, Ahmed S Yacoub, Kamal Awad, David Karasik, Marco Brotto, Gustavo Duque

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 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. 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

6 authors.

Ahmed Al SaediDivision of Endocrinology, Boston Children's Hospital, Boston, MA, USA. Ahmed.AlSaedi@childrens.harvard.edu.
Ahmed S YacoubBone-Muscle Research Center, College of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, TX, USA.
Kamal AwadBone-Muscle Research Center, College of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, TX, USA.
David KarasikThe Musculoskeletal Genetics Laboratory, The Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel.
Marco BrottoBone-Muscle Research Center, College of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, TX, USA.
Gustavo DuqueResearch Institute of McGill University Health Center, Department of Medicine, McGill University, Québec, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intricate interplay between the muscle and bone tissues is a fundamental aspect of musculoskeletal physiology. Over the past decades, emerging research has highlighted the pivotal role of lipid signaling in mediating communication between these tissues. This chapter delves into the multifaceted mechanisms through which lipids, particularly phospholipids, sphingolipids, and eicosanoids, participate in orchestrating cellular responses and metabolic pathways in both muscle and bone. Additionally, we examine the clinical implications of disrupted lipid signaling in musculoskeletal disorders, offering insights into potential therapeutic avenues. This chapter aims to shed light on the complex lipid-driven interactions between the muscle and bone tissues, paving the way for a deeper understanding of musculoskeletal health and disease.

Indexed as

Lipid MetabolismMusculoskeletal DiseasesSignal TransductionAnimalsBone and BonesEicosanoidsHumansMuscle, SkeletalPhospholipidsSphingolipidsEicosanoidsPhospholipidsSphingolipidsCross talkFatLipidsLipid signalingMusculoskeletal cross talk

Identifiers

PMID38977583

What OpenQuestion holds

Textmetadata
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.