ArticleJournal of affective disorders2018
Inflammatory markers as predictors of depression and anxiety in adolescents: Statistical model building with component-wise gradient boosting.
Article in Journal of affective disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Inflammation and depression in young people: a systematic review and proposed inflammatory pathways.Molecular psychiatry · 2022Pooled it
- The longitudinal associations of inflammatory biomarkers and depression revisited: systematic review, meta-analysis, and meta-regression.Molecular psychiatry · 2021Pooled it
- Associations between inflammation markers (CRP and IL-6) and depression among adolescents and young adults in Soweto and Durban, South Africa.Brain, behavior, & immunity - health · 2026Article
- Plasma inflammation-related proteins associated with anxiety and depression disorders in IBD patients.Scientific reports · 2025Article
- Cytokine alterations in pediatric internalizing disorders: Systematic review and exploratory multi-variate meta-analysis.Brain, behavior, & immunity - health · 2022Article
- The Importance of CXCL1 in Physiology and Noncancerous Diseases of Bone, Bone Marrow, Muscle and the Nervous System.International journal of molecular sciences · 2022Review
- Are pro-inflammatory markers associated with psychological distress in a cross-sectional study of healthy adolescents 15-17 years of age? The Fit Futures study.BMC psychology · 2022Article
- C-Reactive Protein and TGF-α Predict Psychological Distress at Two Years of Follow-Up in Healthy Adolescent Boys: The Fit Futures Study.Frontiers in psychology · 2022Article
- Using machine learning to identify predictors of imminent drinking and create tailored messages for at-risk drinkers experiencing homelessness.Journal of substance abuse treatment · 2021Article
- Duration of breastmilk feeding of NICU graduates who live with individuals who smoke.Pediatric research · 2021Article
- Personalized Medicine Using Neuroimmunological Biomarkers in Depressive Disorders.Journal of personalized medicine · 2021Review
- Predicting the first smoking lapse during a quit attempt: A machine learning approach.Drug and alcohol dependence · 2021Article
- Predicting Daily Sheltering Arrangements among Youth Experiencing Homelessness Using Diary Measurements Collected by Ecological Momentary Assessment.International journal of environmental research and public health · 2020Article
- The use of component-wise gradient boosting to assess the possible role of cognitive measures as markers of vulnerability to pediatric bipolar disorder.Cognitive neuropsychiatry · 2019Article
- PET radioligand binding to translocator protein (TSPO) is increased in unmedicated depressed subjects.EJNMMI research · 2018Article
- Genetic and Psychosocial Predictors of Aggression: Variable Selection and Model Building With Component-Wise Gradient Boosting.Frontiers in behavioral neuroscience · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundImmune system abnormalities have been repeatedly observed in several psychiatric disorders, including severe depression and anxiety. However, whether specific immune mediators play an early role in the etiopathogenesis of these disorders remains unknown.
methodsIn a longitudinal design, component-wise gradient boosting was used to build models of depression, assessed by the Mood-Feelings Questionnaire-Child (MFQC), and anxiety, assessed by the Screen for Child Anxiety Related Emotional Disorders (SCARED) in 254 adolescents from a large set of candidate predictors, including sex, race, 39 inflammatory proteins, and the interactions between those proteins and time. Each model was reduced via backward elimination to maximize parsimony and generalizability.
resultsComponent-wise gradient boosting and model reduction found that female sex, growth- regulated oncogene (GRO), and transforming growth factor alpha (TGF-alpha) predicted depression, while female sex predicted anxiety. LIMITATIONS: Differential onset of puberty as well as a lack of control for menstrual cycle may also have been responsible for differences between males and females in the present study. In addition, investigation of all possible nonlinear relationships between the predictors and the outcomes was beyond the computational capacity and scope of the present research.
conclusionsThis study highlights the need for novel statistical modeling to identify reliable biological predictors of aberrant psychological behavior.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.