PubMed Health⌕ Search

PubMed · 14648321

[What is different about muscle pain?].

Abstract

BACKGROUND: The bulk of available knowledge about pain mechanisms is derived from studies on cutaneous pain. However, deep somatic pain (from muscle, fascia, tendon, joint) is clinically of much greater importance. The existing subjective differences between muscle and skin pain (e.g. muscle pain is poorly localized and shows referral) suggest that muscle and skin pain do not share the same mechanisms. AIMS OF THE STUDY: To answer the question if the nociceptive information from muscle has neuroanatomical connections and mechanisms that are distinct from those of cutaneous nociception. MATERIALS AND METHODS: The results were obtained partly in animal experiments on anaesthetised rats, partly in studies with healthy subjects or fibromyalgia patients. RESULTS: 1. At the spinal level, the excitatory effects of unmyelinated afferent fibres from muscle are subject to a strong segmental inhibition by myelinated afferent fibres, which is largely absent in the effects of cutaneous C fibres. 2. At the cortical level, experimental muscle pain excites other regions than does cutaneous pain. 3. At the level of descending pain-modulating pathways, interruption of the activity in these pathways leads to higher activity of nociceptive neurones caudal to the site of interruption. The activity was higher in neurones with input from deep nociceptors than in cells mediating cutaneous nociception. CONCLUSIONS: The data demonstrate that at all central nervous levels the connections and processing of nociceptive information from muscle and skin are different. The findings regarding descending pain-modulating pathways suggest that a dysfunction of this system could lead to chronic deep pain as in fibromyalgia.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

S Mense. 2003. [What is different about muscle pain?].. https://doi.org/10.1007/s00482-003-0264-4

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans↗

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans↗

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans↗