Mario de la Fuente Revenga1, Hiba Z Vohra1, Javier González-Maeso2. 1. Department of Physiology and Biophysics, Virginia Commonwealth University School of Medicine, Richmond, VA, 23298, USA. 2. Department of Physiology and Biophysics, Virginia Commonwealth University School of Medicine, Richmond, VA, 23298, USA. Electronic address: javier.maeso@vcuhealth.org.
Abstract
BACKGROUND: Head-twitch response (HTR) is a manifestation of the serotonergic system behavioral pharmacology commonly used as a proxy of psychedelic drug action in rodents. NEW METHOD: We developed a minimally invasive magnetic ear tag reporter and designed a detection system that performs a comprehensive characterization of each potential HTR event on an electromagnetic readout. RESULTS: Magnetic ear tags were easy to install and generally well tolerated by the animals. On the low-threshold first phase of detection, the tags' signal recorded in a magnetometer was filtered and screened for potential HTR events. On the second phase, the detector performed a comprehensive spectral analysis evaluation of each event and identified the HTR characteristic distribution of power density. Our system delivered satisfactory performance in the identification of pharmacologically-induced HTR and discrimination power against common non-HTR behaviors. COMPARISON WITH EXISTING METHODS: Our system offers a high-throughput solution for studying HTR in mice employing minimally invasive procedures and superior standalone discriminative power compared to our previously reported fully-automated approach. CONCLUSIONS: High-throughput identification of HTR utilizing magnetic ear-tagging and biphasic detection delivers satisfactory detection and discrimination power employing less invasive procedures. Published by Elsevier B.V.
BACKGROUND: Head-twitch response (HTR) is a manifestation of the serotonergic system behavioral pharmacology commonly used as a proxy of psychedelic drug action in rodents. NEW METHOD: We developed a minimally invasive magnetic ear tag reporter and designed a detection system that performs a comprehensive characterization of each potential HTR event on an electromagnetic readout. RESULTS: Magnetic ear tags were easy to install and generally well tolerated by the animals. On the low-threshold first phase of detection, the tags' signal recorded in a magnetometer was filtered and screened for potential HTR events. On the second phase, the detector performed a comprehensive spectral analysis evaluation of each event and identified the HTR characteristic distribution of power density. Our system delivered satisfactory performance in the identification of pharmacologically-induced HTR and discrimination power against common non-HTR behaviors. COMPARISON WITH EXISTING METHODS: Our system offers a high-throughput solution for studying HTR in mice employing minimally invasive procedures and superior standalone discriminative power compared to our previously reported fully-automated approach. CONCLUSIONS: High-throughput identification of HTR utilizing magnetic ear-tagging and biphasic detection delivers satisfactory detection and discrimination power employing less invasive procedures. Published by Elsevier B.V.
Authors: Javier González-Maeso; Noelia V Weisstaub; Mingming Zhou; Pokman Chan; Lidija Ivic; Rosalind Ang; Alena Lira; Maria Bradley-Moore; Yongchao Ge; Qiang Zhou; Stuart C Sealfon; Jay A Gingrich Journal: Neuron Date: 2007-02-01 Impact factor: 17.173
Authors: Mario de la Fuente Revenga; Jong M Shin; Hiba Z Vohra; Kelsey S Hideshima; Matthew Schneck; Justin L Poklis; Javier González-Maeso Journal: Sci Rep Date: 2019-10-03 Impact factor: 4.379
Authors: Mario de la Fuente Revenga; Urjita H Shah; Nima Nassehi; Alaina M Jaster; Prithvi Hemanth; Salvador Sierra; Malgorzata Dukat; Javier González-Maeso Journal: ACS Chem Neurosci Date: 2021-01-05 Impact factor: 4.418
Authors: Grant C Glatfelter; Michael R Chojnacki; Shelby A McGriff; Tianpeng Wang; Michael H Baumann Journal: ACS Pharmacol Transl Sci Date: 2022-04-08
Authors: Justin M Saunders; Alaina M Jaster; Hiba Z Vohra; Mario de la Fuente Revenga; Jennifer Jimenez; Alberto Fernández-Teruel; Jennifer T Wolstenholme; Patrick M Beardsley; Javier González-Maeso Journal: Psychopharmacology (Berl) Date: 2021-08-04 Impact factor: 4.530
Authors: Tanishka S Saraf; Daniel E Felsing; Jessica L Armstrong; Raymond G Booth; Clinton E Canal Journal: Epilepsy Res Date: 2021-05-27 Impact factor: 2.991