Association Between Elevated Serum Histidine Decarboxylase and Tumor Necrosis Factor-Alpha Levels and High Risk in tic Disorder Children

Background: Children with tic disorder (TD) have been reported to exhibit abnormal levels of certain peripheral proteins, but none of these abnormalities have been established as biomarkers for diagnosis. Objectives: The purpose of this study is to evaluate serum histidine decarboxylase (HDC) and tumor necrosis factor-alpha (TNF-α) levels in children with TD, assess their relationship with TD development, and provide reliable biomarkers for prediction and risk management in clinical settings. Methods: In the present study, serum HDC and TNF-α levels from 118 no-comorbid and medication-naive TD patients and 111 age-matched healthy controls were measured using enzyme-linked immunosorbent assay (ELISA) kits. Tic severity was assessed using the Yale Global Tic Severity Scale (YGTSS). Binary logistic regression analysis was used to evaluate the relationship between serum HDC and TNF-α levels and TD development. Results: An increase in serum HDC and TNF-α levels was observed in TD patients compared with controls. Further analysis revealed a significant association between elevated HDC and TNF-α levels and TD development, with a significant ROC curve for HDC and TNF-α as potential risk factors. Conclusions: This study identified a high prevalence of elevated serum HDC and TNF-α levels in children with TDs and provides evidence that elevated blood HDC and TNF-α may be potential risk factors for TD development.

Authors

Institutions

Publication Details

Journal
Iranian Journal of Pediatrics
Published
2024-10-16
DOI
https://doi.org/10.5812/ijp-141889
Primary Topic
Obsessive-Compulsive Spectrum Disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association Between Elevated Serum Histidine Decarboxylase and Tumor Necrosis Factor-Alpha Levels and High Risk in tic Disorder Children

Jinshi Yu, Yingying Yu, Yaodong Zhang, Xingxue Yan
Iranian Journal of Pediatrics
Obsessive-Compulsive Spectrum Disorders
article

Association Between Elevated Serum Histidine Decarboxylase and Tumor Necrosis Factor-Alpha Levels and High Risk in tic Disorder Children

Jinshi Yu, Yingying Yu, Yaodong Zhang, Xingxue Yan
article en

Abstract

Background: Children with tic disorder (TD) have been reported to exhibit abnormal levels of certain peripheral proteins, but none of these abnormalities have been established as biomarkers for diagnosis. Objectives: The purpose of this study is to evaluate serum histidine decarboxylase (HDC) and tumor necrosis factor-alpha (TNF-α) levels in children with TD, assess their relationship with TD development, and provide reliable biomarkers for prediction and risk management in clinical settings. Methods: In the present study, serum HDC and TNF-α levels from 118 no-comorbid and medication-naive TD patients and 111 age-matched healthy controls were measured using enzyme-linked immunosorbent assay (ELISA) kits. Tic severity was assessed using the Yale Global Tic Severity Scale (YGTSS). Binary logistic regression analysis was used to evaluate the relationship between serum HDC and TNF-α levels and TD development. Results: An increase in serum HDC and TNF-α levels was observed in TD patients compared with controls. Further analysis revealed a significant association between elevated HDC and TNF-α levels and TD development, with a significant ROC curve for HDC and TNF-α as potential risk factors. Conclusions: This study identified a high prevalence of elevated serum HDC and TNF-α levels in children with TDs and provides evidence that elevated blood HDC and TNF-α may be potential risk factors for TD development.

Iranian Journal of PediatricsVol. 35(1)
Westlake University (CN), Zhengzhou University (CN), Zhengzhou Children's Hospital (CN), Zhejiang University (CN)
Good health and well-being
Openalex Percentile: Top 74%
Obsessive-Compulsive Spectrum Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.