Neuropeptide signaling near and far: how localized and timed is the action of neuropeptides in brain circuits?
Abstract
Neuropeptide signaling is functionally very diverse and one and the same neuropeptide may act as a circulating neurohormone, as a locally released neuromodulator or even as a cotransmitter of classical fast-acting neurotransmitters. Thus, neuropeptides are produced by a huge variety of neuron types in different parts of the nervous system. Within the central nervous system (CNS) there are numerous types of peptidergic interneurons, some with strictly localized and patterned branching morphologies, others with widespread and diffuse arborizations. From morphology alone it is often difficult to predict the sphere of influence of a peptidergic interneuron, especially since it has been shown that neuropeptides can diffuse over tens of micrometers within neuropils, and that peptides probably are released exclusively in perisynaptic (or non-synaptic) regions. This review addresses some questions related to peptidergic signaling in the insect CNS. How diverse are the spatial relations between peptidergic neurons and their target neurons and what determines the sphere of functional influence? At one extreme there is volume transmission and at the other targeted cotransmission at synapses. Also temporal aspects of peptidergic signaling are of interest: how transient are peptidergic messages? Factors important for these spatial and temporal aspects of peptidergic signaling are proximity between release sites and cognate receptors, distribution of peptidase activity that can terminate peptide action and colocalization of other neuroactive compounds in the presynaptic peptidergic neuron (and corresponding receptors in target neurons). Other factors such as expression of different channel types, receptor inactivation mechanisms and second messenger systems probably also contribute to the diversity in temporal properties of peptide signaling.
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Secreted neuropeptides are thought to persist long enough (e.g., minutes) in brain interstitial spaces for diffusion to very-high-affinity NP-GPCRs hundreds of micrometers distant from release sites.
“secreted neuropeptides are thought to persist long enough (e.g., minutes) in brain interstitial spaces for diffusion to very-high-affinity NP-GPCRs hundreds of micrometers distant from release sites”
From Single-cell transcriptomic evidence for dense intracortical neuropeptide networks (2019) · cites this paper as Nässel, 2009
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Single-cell transcriptomic evidence for dense intracortical neuropeptide networks
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- Authors
- Nässel, D. R.
- Affiliations
- Stockholm University (SE)
- Corresponding author
- Nässel, Dick R.
- ORCID
- Nässel, Dick R.
- Venue
- Invertebrate Neuroscience
- Published
- 2009-09-16
- Volume
- 9
- Issue
- 2
- Pages
- 57-75
- ISSN
- 1354-2516 (ISSN-L)
- 1439-1104
- OpenAlex
- W2053983287
- Cited by
- 125
- References
- 136
- Citations by year
- 2026: 5 · 2025: 18 · 2024: 14 · 2023: 4 · 2022: 7 · 2021: 9 · 2020: 9 · 2019: 6 · 2018: 4 · 2017: 7 · 2016: 7 · 2015: 3 · 2014: 4 · 2013: 8 · 2012: 6
- FWCI
- 0.57
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Invertebrate Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Vetenskapsrådet
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurobiology and Insect Physiology Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuropeptides and Animal Physiology
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- neuropeptide signaling, insect central nervous system, volume transmission, co-transmission, neuromodulation, neurohormones, peptide diffusion, proteolytic activity, receptor inactivation, second messenger signaling, neuronal morphology
- MeSH terms
- Animals, Brain, Drosophila, Insecta, Neural Pathways, Synaptic Transmission, Neurons, Neuropeptides, Time Factors, Signal Transduction, Insect Proteins, Drosophila Proteins
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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