ReviewJournal of lipid research2019
Systems-based approaches for investigation of inter-tissue communication.
Review in Journal of lipid research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Exercise training remodels inter-organ endocrine networks.Molecular metabolism · 2025Article
- Decoding the Liver-Heart Axis in Cardiometabolic Diseases.Circulation research · 2025Review
- Article
- IntiCom-DB: A Manually Curated Database of Inter-Tissue Communication Molecules and Their Communication Routes.Biology · 2023Article
- Dysregulated systemic metabolism in a Down syndrome mouse model.Molecular metabolism · 2023Article
- Genetic variation of putative myokine signaling is dominated by biological sex and sex hormones.eLife · 2022Article
- Integration of feeding behavior by the liver circadian clock reveals network dependency of metabolic rhythms.Science advances · 2021Article
- Decoding the Body Language of Immunity: Tackling the Immune System at the Organism Level.Current opinion in systems biology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Secreted proteins serve as crucial mediators of many physiology processes, and beginning with the discovery of insulin, studies have revealed numerous context-specific regulatory networks across various cell types. Here, we review "omics" approaches to deconvolute the complex milieu of proteins that are released from the cell. We emphasize a novel "systems genetics" approach our laboratory has developed to investigate mechanisms of tissue-tissue communication using population-based datasets. Finally, we highlight potential future directions for these studies, discuss several caveats, and propose new ways to investigate modes of endocrine communication.
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What OpenQuestion holds
Registered trials
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.