Metabolism: Muscle signals to the rescue
When indulging in a tasty meal, we rarely consider the amount of communication that takes place between various organs in our bodies. A multitude of signals flow between the digestive system and the brain, which regulate our appetite and help the body to metabolize foods by extracting nutrients and converting them into energy. However, much remains unknown about the molecular signaling pathways that regulate this internal conversation.
Fruit flies use many of the same mechanisms as humans to regulate food intake and balance energy levels, and are therefore a popular model for studying metabolism and metabolic diseases (Doane, 1960; Baker and Thummel, 2007; Musselman and Kühnlein, 2018). By manipulating the activity of individual genes in specific tissues, researchers have been able to gain more insight into how organs communicate on a molecular level. For example, it emerged that skeletal muscle – as opposed to cardiac and smooth muscle – is the source of a variety of metabolic signals that induce changes in other tissues, some of which have been found to affect the storage of fat (Benatti and Pedersen, 2014; Fisher and Maratos-Flier, 2015; Eckel, 2019). Now, in eLife, Arpan Ghosh, Norbert Perrimon and colleagues – who are based at Harvard Medical School and the Harvard Chan Bioinformatics Core – report that a signaling molecule released by skeletal muscle can protect flies from becoming obese (Ghosh et al., 2020).
The researchers studied a molecule called Pvf, which is the equivalent of two signaling factors that regulate cell growth and division in humans, called PDGF and VEGF. Fruit flies have multiple versions of the Pvf protein, which Ghosh et al. deactivated in various tissues. The experiments revealed that one of these subtypes, called Pvf1, protects adult flies against obesity by preventing excess fat from accumulating in storage sites (the fly adipose tissue) and in specialized cells called oenocytes. Oenocytes help the body absorb and break down fats to provide additional energy to cells in times of stress (Makki et al., 2014).
Ghosh et al. found that oenocytes contained high numbers of PvR, the receptor for Pvf1. When the receptor in these cells was deactivated, the flies stored more fat, similar to what was observed when the production of Pvf1 was turned off in the skeletal muscle. This suggests that communication between the muscle and oenocytes via Pvf1 and its receptor PvR is required to regulate the fat metabolism in the adult fly.
Further experiments showed that blocking a specific signaling pathway (called PI3K/Akt1/TOR) in oenocytes also led to an accumulation of fats, while reactivating the pathway prevented it. Moreover, when Pvf1 was turned off in the skeletal muscle, the signaling pathway in the oenocytes was also impaired. To better understand the role of this pathway in fat mobilization and synthesis, the researchers measured the rates of fat release from stores and new fat synthesis. Blocking this pathway had no effect on mobilizing fat from fat stores. Instead, fat synthesis increased, although the underlying mechanisms remain unclear.
To find out if this communication pathway is more important at a specific point in a fly’s life, Ghosh et al. turned their attention to young adult flies. During this age, the animals rapidly accumulate fat before achieving the steady, balanced level characteristic of mature adults. Indeed, the production of Pvf1 in the adult muscle peaked around the time when adult fat stores in the adipose tissue reached a steady-state capacity. However, when the flies were genetically modified to produce Pvf1 in the muscle earlier than normal and at higher levels, the young adults failed to store as much fat. This suggests that Pvf1 needs to be produced at a specific time and quantity to help young adult flies accumulate the right amount of fat.
Taken together, these findings show that Pvf1 released from skeletal muscle helps to end the normal increase of fat stores in young adult flies. This slows down the production of new fat, thus preventing obesity in mature adults. These results provide new insights into how internal organs communicate with each other to maintain energy levels. Further studies are needed to better understand how this muscle-derived signaling cascade regulates fat accumulation in vertebrates.
References
-
Exercise as an anti-inflammatory therapy for rheumatic diseases-myokine regulationNature Reviews Rheumatology 11:86–97.https://doi.org/10.1038/nrrheum.2014.193
-
Myokines in metabolic homeostasis and diabetesDiabetologia 62:1523–1528.https://doi.org/10.1007/s00125-019-4927-9
-
Understanding the physiology of FGF21Annual Review of Physiology 78:223–241.https://doi.org/10.1146/annurev-physiol-021115-105339
-
The development and functions of oenocytesAnnual Review of Entomology 59:405–425.https://doi.org/10.1146/annurev-ento-011613-162056
-
Drosophila as a model to study obesity and metabolic diseaseThe Journal of Experimental Biology 221:jeb163881.https://doi.org/10.1242/jeb.163881
Article and author information
Author details
Publication history
Copyright
© 2020, Diaz and Reis
This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
Metrics
-
- 1,385
- views
-
- 82
- downloads
-
- 0
- citations
Views, downloads and citations are aggregated across all versions of this paper published by eLife.
Download links
Downloads (link to download the article as PDF)
Open citations (links to open the citations from this article in various online reference manager services)
Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)
Further reading
-
- Genetics and Genomics
An unprecedented amount of SARS-CoV-2 data has been accumulated compared with previous infectious diseases, enabling insights into its evolutionary process and more thorough analyses. This study investigates SARS-CoV-2 features as it evolved to evaluate its infectivity. We examined viral sequences and identified the polarity of amino acids in the receptor binding motif (RBM) region. We detected an increased frequency of amino acid substitutions to lysine (K) and arginine (R) in variants of concern (VOCs). As the virus evolved to Omicron, commonly occurring mutations became fixed components of the new viral sequence. Furthermore, at specific positions of VOCs, only one type of amino acid substitution and a notable absence of mutations at D467 were detected. We found that the binding affinity of SARS-CoV-2 lineages to the ACE2 receptor was impacted by amino acid substitutions. Based on our discoveries, we developed APESS, an evaluation model evaluating infectivity from biochemical and mutational properties. In silico evaluation using real-world sequences and in vitro viral entry assays validated the accuracy of APESS and our discoveries. Using Machine Learning, we predicted mutations that had the potential to become more prominent. We created AIVE, a web-based system, accessible at https://ai-ve.org to provide infectivity measurements of mutations entered by users. Ultimately, we established a clear link between specific viral properties and increased infectivity, enhancing our understanding of SARS-CoV-2 and enabling more accurate predictions of the virus.
-
- Cell Biology
- Genetics and Genomics
Cells react to stress by triggering response pathways, leading to extensive alterations in the transcriptome to restore cellular homeostasis. The role of RNA metabolism in shaping the cellular response to stress is vital, yet the global changes in RNA stability under these conditions remain unclear. In this work, we employ direct RNA sequencing with nanopores, enhanced by 5ʹ end adapter ligation, to comprehensively interrogate the human transcriptome at single-molecule and -nucleotide resolution. By developing a statistical framework to identify robust RNA length variations in nanopore data, we find that cellular stress induces prevalent 5ʹ end RNA decay that is coupled to translation and ribosome occupancy. Unlike typical RNA decay models in normal conditions, we show that stress-induced RNA decay is dependent on XRN1 but does not depend on deadenylation or decapping. We observed that RNAs undergoing decay are predominantly enriched in the stress granule transcriptome while inhibition of stress granule formation via genetic ablation of G3BP1 and G3BP2 rescues RNA length. Our findings reveal RNA decay as a key component of RNA metabolism upon cellular stress that is dependent on stress granule formation.