Pacinian corpuscle

Pacinian corpuscles (or lamellar corpuscles; discovered by Italian anatomist Filippo Pacini) are one of the four major types of mechanoreceptor cell in glabrous (hairless) mammalian skin. They are nerve endings in the skin responsible for sensitivity to vibration and pressure.[1] They respond only to sudden disturbances and are especially sensitive to vibration.[2] The vibrational role may be used to detect surface texture, e.g., rough vs. smooth. Pacinian corpuscles act as rapidly adapting mechanoreceptors. Groups of corpuscles respond to pressure changes, e.g. on grasping or releasing an object.

Pacinian corpuscle
Pacinian corpuscle, with its system of capsules and central cavity.
a. Arterial twig, ending in capillaries, which form loops in some of the intercapsular spaces, and one penetrates to the central capsule.
b. The fibrous tissue of the stalk.
n. Nerve tube advancing to the central capsule, there losing its white matter and stretching along the axis to the opposite end, where it ends by a tuberculated enlargement.
Pacinian corpuscle labeled at bottom
Details
LocationSkin
Identifiers
Latincorpusculum Pacinian
MeSHD010141
THH3.11.06.0.00009
FMA83604
Anatomical terms of microanatomy

Structure

Pacinian corpuscles are larger and fewer in number than Meissner's corpuscle, Merkel cells and Ruffini's corpuscles.[3]

The Pacinian corpuscle is approximately oval-cylindrical-shaped and 1 mm in length. The entire corpuscle is wrapped by a layer of connective tissue. Its capsule consists of 20 to 60 concentric lamellae (hence the alternative lamellar corpuscle) including fibroblasts and fibrous connective tissue (mainly Type IV and Type II collagen network), separated by gelatinous material, more than 92% of which is water.[4]

Function

Pacinian corpuscles are rapidly adapting (phasic) receptors that detect gross pressure changes and vibrations in the skin. Any deformation in the corpuscle causes action potentials to be generated by opening pressure-sensitive sodium ion channels in the axon membrane. This allows sodium ions to flow into the cell, creating a receptor potential.

These corpuscles are especially sensitive to vibrations, which they can sense even centimeters away.[3] Their optimal sensitivity is 250 Hz, and this is the frequency range generated upon fingertips by textures made of features smaller than 1 µm.[5][6] Pacinian corpuscles respond when the skin is rapidly indented but not when the pressure is steady, due to the layers of connective tissue that cover the nerve ending.[3] It is thought that they respond to high-velocity changes in joint position. They have also been implicated in detecting the location of touch sensations on handheld tools.[7]

Pacinian corpuscles have a large receptive field on the skin's surface with an especially sensitive center.[3]

Mechanism

Pacinian corpuscles sense stimuli due to the deformation of their lamellae, which press on the membrane of the sensory neuron and causes it to bend or stretch.[8] When the lamellae are deformed, due to either pressure or release of pressure, a generator potential is created as it physically deforms the plasma membrane of the receptive area of the neuron, making it "leak" Na+ ions. If this potential reaches a certain threshold, nerve impulses or action potentials are formed by pressure-sensitive sodium channels at the first node of Ranvier, the first node of the myelinated section of the neurite inside the capsule. This impulse is now transferred along the axon with the use of sodium channels and sodium/potassium pumps in the axon membrane.

Once the receptive area of the neurite is depolarized, it will depolarize the first node of Ranvier; however, as it is a rapidly adapting fibre, this does not carry on indefinitely, and the signal propagation ceases. This is a graded response, meaning that the greater the deformation, the greater the generator potential. This information is encoded in the frequency of impulses, since a bigger or faster deformation induces a higher impulse frequency. Action potentials are formed when the skin is rapidly distorted but not when pressure is continuous because of the mechanical filtering of the stimulus in the lamellar structure. The frequencies of the impulses decrease quickly and soon stop due to the relaxation of the inner layers of connective tissue that cover the nerve ending.

Additional images

See also

References

  1. Biswas, Abhijit; Manivannan, M.; Srinivasan, Mandyam A. (2015). "Vibrotactile Sensitivity Threshold: Nonlinear Stochastic Mechanotransduction Model of the Pacinian Corpuscle". IEEE Transactions on Haptics. 8 (1): 102–113. doi:10.1109/TOH.2014.2369422. PMID 25398183. S2CID 15326972.
  2. Biswas, Abhijit; Manivannan, M.; Srinivasan, Mandyam A. (2015). "Multiscale Layered Biomechanical Model of the Pacinian Corpuscle". IEEE Transactions on Haptics. 8 (1): 31–42. doi:10.1109/TOH.2014.2369416. PMID 25398182. S2CID 24658742.
  3. Kandel, Edited by Eric R.; Schwartz, James H.; Jessell, Thomas M. (2000). Principles of neural science. New York: McGraw-Hill, Health Professions Division. ISBN 0-8385-7701-6.CS1 maint: extra text: authors list (link)
  4. Cherepnov, V.L.; Chadaeva, N.I. (1981). "Some characteristics of soluble proteins of Pacinian corpuscles". Bulletin of Experimental Biology and Medicine. 91 (3): 346–348. doi:10.1007/BF00839370. PMID 7248510. S2CID 26734354.
  5. Scheibert, J; Leurent, S; Prevost, A; Debrégeas, G (2009). "The role of fingerprints in the coding of tactile information probed with a biomimetic sensor". Science. 323 (5920): 1503–6. arXiv:0911.4885. Bibcode:2009Sci...323.1503S. doi:10.1126/science.1166467. PMID 19179493. S2CID 14459552.
  6. Skedung, Lisa, Martin Arvidsson, Jun Young Chung, Christopher M. Stafford, Birgitta Berglund, and Mark W. Rutland. 2013. "Feeling Small: Exploring the Tactile Perception Limits." Sci. Rep. 3 (September 12). doi:10.1038/srep02617.
  7. Sima, Richard (23 December 2019). "The Brain Senses Touch beyond the Body". Scientific American. Retrieved 17 February 2020.
  8. Klein, Stephen B.; Michael Thorne, B. (2006-10-03). Biological Psychology. ISBN 9780716799221.
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