Introduction
The dorsal horn of the spinal cord is the main site of termination for primary afferent axons that convey somatosensory information from the trunk and limbs. Many, if not all, of the nerve cells within the dorsal horn receive direct synaptic input from these primary afferents, and can therefore be described as “second order neurons”. Large-diameter myelinated (Aβ) afferents, which function as low-threshold mechanorceptors, send collateral branches directly to the brain, forming the first part of the dorsal column-medial lemniscus pathway. However, fine myelinated (Aδ) and unmyelinated (C) afferents, many of which function as nociceptors, terminate exclusively in the dorsal horn, and this is therefore the site of the first synapse in pathways that underlie the perception of pain. It has long been realized that the dorsal horn neurons are potential targets for therapies aimed at treating pain, and it is also clear that pathological changes occurring in this region play an important part in chronic pain states. Because of this, there have been numerous studies aimed at defining the neuronal organization and circuitry of the dorsal horn. The aim of this review is to highlight some of the key findings that have led to our current understanding of this region. To indicate the historical context of these findings and the contingent flow of events, I have arbitrarily assigned these studies to four time periods.
Basic Organization of the Dorsal Horn: From Rolando to Rexed
Early anatomical studies identified certain specific regions within the dorsal horn. For example in 1824 Rolando () described a translucent zone in the superficial part, which he named the substantia gelatinosa, and subsequent studies revealed that the translucent appearance results from the lack of myelin in this region. The more ventral parts of the dorsal horn were referred to as the nucleus proprius and the neck, while the thin dorsalmost part was known as the marginal layer. However, in 1952, Rexed (), working at the Karolinska Institute, was able to reveal a laminar pattern based on the size and packing density of neurons. Crucially, he recognized that this pattern extended throughout the length of the spinal cord, from cervical to sacral segments. His laminar scheme, initially developed for the cat spinal cord, has since been adapted for several other species. Rexed's pivotal work described six laminae in the dorsal horn of the lumbar and cervical enlargements, with laminae I and II corresponding to the marginal layer and substantia gelatinosa, respectively. Although this scheme was based purely on anatomical features (the size and packing density of neurons), it has turned out to be extremely useful, providing a basic map upon which more detailed elements have been overlaid. These include the terminations of different classes of primary afferents, and the distribution of neurons with specific cellular response profiles, as will be discussed below.
In other regions of the central nervous system, investigation of cell morphology provided important insight into neuronal organization, and subsequently allowed the identification of functional circuits. The earliest morphological studies of dorsal horn neurons were based on the Golgi technique, in which a small proportion of the cells are stained in their entirety, allowing anatomical reconstruction. For example, Ramon y Cajal () described two types of cell that differed in size and dendritic geometry in the region corresponding to laminae I-II (superficial dorsal horn, SDH): “limitrophe” (border) cells, located in the most superficial part of this region, and “central” cells found throughout the substantia gelatinosa.
The 1960s and 70s: Early Insights Into Dorsal Horn Circuitry
This period saw the publication of the Gate Theory of Pain (), which was the first attempt to define a neuronal circuit for somatosensory processing at the spinal cord level (Figure 1A). Other important advances included mapping of the input from different primary afferent populations, and of the cells of origin of the various ascending pathways. There was further progress in attempts to define connectivity by characterizing neuronal populations within the dorsal horn, both in terms of their morphology and their physiological properties.
Figure 1
Early electrophysiological studies aimed to determine the receptive field properties of dorsal horn neurons, and were mainly performed in decerebrate cats. However, they were limited by the difficulty in recording extracellular action potentials from the predominantly small neurons in laminae I-III. In 1967 Patrick Wall at University College London (UCL) (
Another important finding toward the end of this period was the demonstration of “diffuse noxious inhibitory controls” (DNIC) by Le Bars, Besson, and Dickenson in Paris (
The 1970s saw the development of retrograde tracing techniques, and one of the earliest studies to use this approach to identify spinal projection neurons was published in 1975 by Trevino and Carstens at University of North Carolina (
Meanwhile anatomical studies were revealing further details about the morphology of neurons in the superficial laminae. In 1978, Gobel at the National Institute of Dental Research (
Further details also emerged concerning the “first order” (primary afferent) neurons, and this was key to understanding the receptive field properties of neurons in different laminae. While earlier studies had shown the basic arrangement of the input, detailed termination patterns for Aβ and Aδ afferents were revealed following intra-axonal recording in vivo (
1980–2010: Consolidation of Knowledge
During this period there was steady progress on many different fronts, and it is only possible to select a few representative examples.
Anatomical and electrophysiological studies provided further insight into the organization of projection neurons. Menetrey et al. (
In 1983 Clifford Woolf, at UCL, following on from the discovery of windup by Mendell and Wall (
Intracellular recording and labeling of individual C fibers, which was achieved during this period, revealed their central arbors in laminae I-II (
Further insight into the role of spinal cord inhibition was provided in 1989 by Yaksh at the Mayo Clinic (
A crucial finding during this period was the discovery by Hunt et al. at University College London that the transcription factor Fos could be used as a marker of neuronal activity (
A major technical advance was the development of ex vivo preparations (in particular spinal cord slices), and the applicatoin of whole-cell patch-clamp recording, for example by Yoshimura and Nishi at Kurume University (
A key question that emerged from anatomical and electrophysiological studies during this period was how to make sense of the considerable heterogeneity of dorsal horn interneurons (
2010 to the Present: The Age of Mouse Genetics
The last decade has seen a revolution in our understanding of spinal sensory processing, largely as a result of advances in mouse genetics. A study by Duan et al. (
Classification of neuronal populations is essential for our understanding of the circuits that process somatosensory information, but until recently neurochemical classification schemes had depended on the identification of potential markers, and this is inevitably rather hit-and-miss. Single cell RNA sequencing studies have provided a far more systematic approach, by assigning all of the sampled cells to clusters, based on patterns of gene expression. For example, Häring et al. at the Karolinksa (
Concluding Comments
As reviewed here, our understanding of the complex role played by second order dorsal horn neurons has evolved from the anatomical insights acquired during the 19th and early 20th centuries, through the electrophysiological studies in the latter part of the 20th century that began to reveal the behavior of these cells. The last few years have seen dramatic advances in our understanding of the organization of the neural circuits engaged by the second order neurons, largely due to the recognition that there are in fact many different types of “second order neuron”, and that these can be distinguished based on their neurochemistry. This, in turn, has led to the recognition that the functional connections between primary afferents, descending axons, dorsal horn interneurons and projection cells are highly organized, resulting in intricate synaptic circuits through which sensory information is transmitted and modulated. This evolution of knowledge can be seen by comparing a recent circuit diagram (
Funding
Work in the author's laboratory was funded by grants from the Medical Research Council (grant number MR/S002987/1) and the Wellcome Trust (grant numbers 102645/Z/13/Z and 219433/Z/19/Z).
Publisher's Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Statements
Author contributions
AJT performed the literature search and wrote this opinion article.
Acknowledgments
The author is very grateful to Dr. T. L. Yaksh for helpful comments on the article.
Conflict of interest
The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Summary
Keywords
spinal cord, dorsal horn, interneuron, projection neuron, pain
Citation
Todd AJ (2022) An Historical Perspective: The Second Order Neuron in the Pain Pathway. Front. Pain Res. 3:845211. doi: 10.3389/fpain.2022.845211
Received
29 December 2021
Accepted
02 February 2022
Published
08 March 2022
Volume
3 - 2022
Edited by
Tony L. Yaksh, University of California, San Diego, United States
Reviewed by
Qiufu Ma, Harvard Medical School, United States
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© 2022 Todd.
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*Correspondence: Andrew J. Todd andrew.todd@glasgow.ac.uk
This article was submitted to Pain Mechanisms, a section of the journal Frontiers in Pain Research
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.