Obsessive-compulsive disorder (OCD) is a frequent and disabling condition, with many patients being treatment-resistant. Improved understanding of its neurobiology is vital for better therapies. Evidence is still conflicting regarding specific serotonergic-related dysfunctions in OCD. We systematically reviewed the literature to provide a quantitative assessment of the role of serotonin (5-HT) in patients with untreated OCD through imaging. We searched for neuroimaging studies investigating central 5-HT tonus in unmedicated patients with OCD, excluding studies comprising treated patients to prevent bias from antidepressant-induced changes in serotonergic tonus. We also conducted a meta-analysis using a homogeneous group of positron emission tomography and single photon emission computed tomography articles that compared 5-HT transporter (SERT) and 5-HT2A receptor (HT2AR) binding potential in different brain regions of patients with untreated OCD and healthy controls. The systematic review encompassed 18 articles, with 13 included in the subsequent meta-analysis. Risk of bias was assessed by a revised form of the Newcastle-Ottawa Scale. We provided standardized mean difference (SMD) values for SERT and 5-HT2AR binding potential measures across 15 different brain regions. Patients with OCD showed lower SERT binding potential in the brainstem (SMD = -1.13, 95% CI [-1.81 to -0.46]), midbrain (SMD = -0.54, 95% CI [-0.92 to -0.16]), and thalamus/hypothalamus regions (SMD = -0.58, 95% CI [-0.99 to -0.18]) with neglectable to moderate heterogeneity. By combining results from 2 decades of molecular imaging studies, we show that individuals with OCD exhibit lower SERT binding potential in specific brain regions, providing compelling evidence of a 5-HT system dysfunction. However, the exact mechanisms underlying this phenotype remain elusive. The limitations include heterogeneity across studies in populations, imaging techniques, and radiotracer usage.

Download full-text PDF

Source
http://dx.doi.org/10.1111/pcn.13760DOI Listing

Publication Analysis

Top Keywords

binding potential
16
brain regions
12
obsessive-compulsive disorder
8
systematic review
8
patients untreated
8
untreated ocd
8
patients ocd
8
regions patients
8
lower sert
8
sert binding
8

Similar Publications

This study investigates the prognostic value of serum biomarkers PD-L1 and IGFBP-2 in patients with esophageal carcinoma. It finds a significant positive correlation between these biomarkers and established tumor markers CEA and CYFRA21-1. The 3-year survival rate for the patient cohort was 45.

View Article and Find Full Text PDF

Background: Lung cancer has high morbidity and mortality rates, which results in a poor prognosis. Cuproptosis is a novel cell death mechanism. The aim of this study was to examine the biological characteristics and clinical significance of genes associated with cuproptosis in lung adenocarcinoma (LUAD), and to understand the molecular mechanisms underlying the occurrence and progression of LUAD.

View Article and Find Full Text PDF

Sodium nitrite orchestrates macrophage mimicry of tongue squamous carcinoma cells to drive lymphatic metastasis.

Br J Cancer

January 2025

MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong, PR China.

Background: Tongue squamous cell carcinoma (TSCC) is a malignant oral cancer with unclear pathogenesis that shows a tendency for early-stage lymphatic metastasis. This results in a poor prognosis, with a low 5-year survival rate. Dietary sodium nitrite (NaNO) has proposed associations with disease, including cancer.

View Article and Find Full Text PDF

Nickel complexes are a potential candidate for antibacterial and antifungal activity. A new Ni (II) complex, bis(2-methoxy-6-{[(2-methylpropyl)imino]methyl}phenolato)nickel (II) (2), was synthesised by reacting, bis(3-methoxy-salicylaldehyde)nickel (II) (1) with isobutylamine. It was characterised by single crystal X-ray diffraction (ScXRD), UV-Vis, NMR, IR, mass spectrometry, and thermogravimetry (TG) to study its structure and physico-chemical properties.

View Article and Find Full Text PDF

Evaluating climate-related financial policies' impact on decarbonization with machine learning methods.

Sci Rep

January 2025

Joint Lab Artificial Intelligence and Data Science, Osnabrück University, 49074, Osnabrück, Germany.

This study examines how Climate-Related Financial Policies (CRFPs) support decarbonization and renewable energy transitions across 87 countries from 2000 to 2023. Using the Policy Sequencing Score (PSS) and a bindingness-weighted adoption indicator, it explores the relationships between CRFPs, CO2 emissions, and Renewable Energy Production (REP) across diverse economic and institutional contexts. Findings reveal significant variation in outcomes.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!