Serum brain‐derived neurotrophic factor in the diagnosis of febrile seizure

Abstract

Background Brain‐derived neurotrophic factor (BDNF) is a noncovalently linked homodimer protein from the neurotrophic growth factor family. Although it is expressed throughout the brain, it is produced more intensively in the entorhinal cortex and hippocampus and can cross the blood‐brain barrier in two directions easily. The aim of this study is to understand, for the first time, whether there is a relationship between febrile seizure (FS) and BDNF. Methods The study included cases diagnosed with FS and febrile illness, of similar age, weight, and height, between 6 months and 6 years. Samples for serum BDNF measurement were taken within the first 24–48 h of admission at the hospital and levels were measured using the commercial enzyme‐linked immunosorbent assay kit and expressed in ng/mL. Results Eighty cases (40 FS, 40 febrile illness) were included in the study. The mean serum BDNF was found to be 6.7 ± 2.4 ng/mL in the FS group and 4.5 ± 2.6 ng/mL in the febrile illness group (P = 0.001). No relation was found between gender, age, body weight, length, and platelet counts and serum BDNF levels. The optimal cut‐off value for serum BDNF was found to be 5.2 ng/mL (75% sensitivity, 62.5% specificity, AUC: 0.723) to distinguish between FS and febrile illness. Conclusions Excluding demographic variables such as gender, age, weight, length, and platelet counts serum BDNF levels have increased in children with FS. Considering the hippocampal origin of FS, we can suggest that the pathophysiology of FS may be related to the BDNF.

Development and validation of a predictive model for febrile seizures

“…Predictive models are currently receiving increasing attention in various clinical fields, including malignant tumors, sepsis, and Kawasaki disease, with a growing number of publications in these areas 19 – 22 . However, existing predictive models for FS demonstrate limited predictive ability 12 – 15 . Consequently, our study aims to explore the predictive value of CBCs in FS and construct a highly effective predictive model based on these indicators.…”

“…For the prediction of FS, Cokyaman et al conducted a study utilizing serum Brain-derived neurotrophic factor levels to predict FS, yielding the area under the curve (AUC) of 0.723 12 . Bakri et al discovered that neurotrophin-3 predicted FS with an AUC of 0.678 13 .…”