Literature DB >> 32343180

Evaluation of cell-free DNA as a diagnostic marker in cerebrospinal fluid of dogs.

Amy C Stark, Stephanie McGrath, Marta Karn, Christine E Thomson.   

Abstract

OBJECTIVE: To determine whether cell-free DNA (cfDNA) was detectable in CSF samples from dogs, whether CSF sample volume impacted CSF cfDNA concentration measurement, and whether CSF cfDNA concentration was associated with CNS disease category or CSF RBC count (RBCC), nucleated cell count (NCC), or protein concentration, which could aid in the diagnosis of neurologic diseases in dogs. SAMPLE: 80 CSF samples collected from dogs with (n = 60) and without (20) clinical neurologic disease between February 2017 and May 2018. PROCEDURES: Results for CSF RBCC, NCC, protein concentration, and cfDNA concentration were compared across CSF groups established on the basis of whether they were obtained from dogs with (case groups) or without (control group) clinical signs of neurologic disease In addition, 5 paired CSF samples representing large (3.0-mL) and small (0.5-mL) volumes, were used to evaluate whether sample volume impacted measurement of CSF cfDNA concentration.
RESULTS: cfDNA was detected in 76 of the 80 (95%) CSF samples used to evaluate parameters across disease categories and in all 5 of the paired samples used to evaluate whether sample volume impacted cfDNA quantification. There were no substantial differences in cfDNA concentrations identified between groups (on the basis of disease category or sample volume), and the CSF cfDNA concentration did not meaningfully correlate with CSF RBCC, NCC, or protein concentration. CONCLUSIONS AND CLINICAL RELEVANCE: Although results indicated that the CSF cfDNA concentration could not be used to differentiate between categories of neurologic disease in dogs of the the present study, further investigation is warranted regarding the use of CSF analysis, including sequencing specific cfDNA mutations, for diagnosing and monitoring neurologic disease in dogs.

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Year:  2020        PMID: 32343180     DOI: 10.2460/ajvr.81.5.416

Source DB:  PubMed          Journal:  Am J Vet Res        ISSN: 0002-9645            Impact factor:   1.156


  1 in total

1.  Clinical validation of a next-generation sequencing-based multi-cancer early detection "liquid biopsy" blood test in over 1,000 dogs using an independent testing set: The CANcer Detection in Dogs (CANDiD) study.

Authors:  Andi Flory; Kristina M Kruglyak; John A Tynan; Lisa M McLennan; Jill M Rafalko; Patrick Christian Fiaux; Gilberto E Hernandez; Francesco Marass; Prachi Nakashe; Carlos A Ruiz-Perez; Donna M Fath; Thuy Jennings; Rita Motalli-Pepio; Kate Wotrang; Angela L McCleary-Wheeler; Susan Lana; Brenda Phillips; Brian K Flesner; Nicole F Leibman; Tracy LaDue; Chelsea D Tripp; Brenda L Coomber; J Paul Woods; Mairin Miller; Sean W Aiken; Amber Wolf-Ringwall; Antonella Borgatti; Kathleen Kraska; Christopher B Thomson; Alane Kosanovich Cahalane; Rebecca L Murray; William C Kisseberth; Maria A Camps-Palau; Franck Floch; Claire Beaudu-Lange; Aurélia Klajer-Peres; Olivier Keravel; Luc-André Fribourg-Blanc; Pascale Chicha Mazetier; Angelo Marco; Molly B McLeod; Erin Portillo; Terry S Clark; Scott Judd; C Kirk Feinberg; Marie Benitez; Candace Runyan; Lindsey Hackett; Scott Lafey; Danielle Richardson; Sarah Vineyard; Mary Tefend Campbell; Nilesh Dharajiya; Taylor J Jensen; Dirk van den Boom; Luis A Diaz; Daniel S Grosu; Arthur Polk; Kalle Marsal; Susan Cho Hicks; Katherine M Lytle; Lauren Holtvoigt; Jason Chibuk; Ilya Chorny; Dana W Y Tsui
Journal:  PLoS One       Date:  2022-04-26       Impact factor: 3.752

  1 in total

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