Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385542937> ?p ?o ?g. }
- W4385542937 endingPage "431" @default.
- W4385542937 startingPage "415" @default.
- W4385542937 abstract "The 18-kDa translocator protein (TSPO) is increasingly recognized as a molecular target for PET imaging of inflammatory responses in various central nervous system (CNS) disorders. However, the reported sensitivity and specificity of TSPO PET to identify brain inflammatory processes appears to vary greatly across disorders, disease stages, and applied quantification methods. To advance TSPO PET as a potential biomarker to evaluate brain inflammation and anti-inflammatory therapies, a better understanding of its applicability across disorders is needed. We conducted a transdiagnostic systematic review and meta-analysis of all in vivo human TSPO PET imaging case-control studies in the CNS. Specifically, we investigated the direction, strength, and heterogeneity associated with the TSPO PET signal across disorders in pre-specified brain regions, and explored the demographic and methodological sources of heterogeneity.We searched for English peer-reviewed articles that reported in vivo human case-control TSPO PET differences. We extracted the demographic details, TSPO PET outcomes, and technical variables of the PET procedure. A random-effects meta-analysis was applied to estimate case-control standardized mean differences (SMD) of the TSPO PET signal in the lobar/whole-brain cortical grey matter (cGM), thalamus, and cortico-limbic circuitry between different illness categories. Heterogeneity was evaluated with the I2 statistic and explored using subgroup and meta-regression analyses for radioligand generation, PET quantification method, age, sex, and publication year. Significance was set at the False Discovery Rate (FDR)-corrected P < 0.05.156 individual case-control studies were included in the systematic review, incorporating data for 2381 healthy controls and 2626 patients. 139 studies documented meta-analysable data and were grouped into 11 illness categories. Across all the illness categories, we observed a significantly higher TSPO PET signal in cases compared to controls for the cGM (n = 121 studies, SMD = 0.358, PFDR < 0.001, I2 = 68%), with a significant difference between the illness categories (P = 0.004). cGM increases were only significant for Alzheimer's disease (SMD = 0.693, PFDR < 0.001, I2 = 64%) and other neurodegenerative disorders (SMD = 0.929, PFDR < 0.001, I2 = 73%). Cortico-limbic increases (n = 97 studies, SMD = 0.541, P < 0.001, I2 = 67%) were most prominent for Alzheimer's disease, mild cognitive impairment, other neurodegenerative disorders, mood disorders and multiple sclerosis. Thalamic involvement (n = 79 studies, SMD = 0.393, P < 0.001, I2 = 71%) was observed for Alzheimer's disease, other neurodegenerative disorders, multiple sclerosis, and chronic pain and functional disorders (all PFDR < 0.05). Main outcomes for systemic immunological disorders, viral infections, substance use disorders, schizophrenia and traumatic brain injury were not significant. We identified multiple sources of between-study variance to the TSPO PET signal including a strong transdiagnostic effect of the quantification method (explaining 25% of between-study variance; VT-based SMD = 0.000 versus reference tissue-based studies SMD = 0.630; F = 20.49, df = 1;103, P < 0.001), patient age (9% of variance), and radioligand generation (5% of variance).This study is the first overarching transdiagnostic meta-analysis of case-control TSPO PET findings in humans across several brain regions. We observed robust increases in the TSPO signal for specific types of disorders, which were widespread or focal depending on illness category. We also found a large and transdiagnostic horizontal (positive) shift of the effect estimates of reference tissue-based compared to VT-based studies. Our results can support future studies to optimize experimental design and power calculations, by taking into account the type of disorder, brain region-of-interest, radioligand, and quantification method." @default.
- W4385542937 created "2023-08-04" @default.
- W4385542937 creator A5007170741 @default.
- W4385542937 creator A5008325892 @default.
- W4385542937 creator A5015343764 @default.
- W4385542937 creator A5016945907 @default.
- W4385542937 creator A5021223799 @default.
- W4385542937 creator A5025601741 @default.
- W4385542937 creator A5026681917 @default.
- W4385542937 creator A5034259675 @default.
- W4385542937 creator A5058685490 @default.
- W4385542937 creator A5068260426 @default.
- W4385542937 creator A5079452239 @default.
- W4385542937 date "2023-10-01" @default.
- W4385542937 modified "2023-09-25" @default.
- W4385542937 title "TSPO PET brain inflammation imaging: A transdiagnostic systematic review and meta-analysis of 156 case-control studies" @default.
- W4385542937 cites W1489222126 @default.
- W4385542937 cites W1963105318 @default.
- W4385542937 cites W1973585315 @default.
- W4385542937 cites W1975952150 @default.
- W4385542937 cites W1984103995 @default.
- W4385542937 cites W1987834950 @default.
- W4385542937 cites W1990912256 @default.
- W4385542937 cites W2005501262 @default.
- W4385542937 cites W2013378295 @default.
- W4385542937 cites W2034450620 @default.
- W4385542937 cites W2038594716 @default.
- W4385542937 cites W2045347306 @default.
- W4385542937 cites W2077013183 @default.
- W4385542937 cites W2108654808 @default.
- W4385542937 cites W2112339576 @default.
- W4385542937 cites W2126930838 @default.
- W4385542937 cites W2134557769 @default.
- W4385542937 cites W2154119533 @default.
- W4385542937 cites W2156443184 @default.
- W4385542937 cites W2163179762 @default.
- W4385542937 cites W2170892587 @default.
- W4385542937 cites W2300117615 @default.
- W4385542937 cites W2342906973 @default.
- W4385542937 cites W2477430638 @default.
- W4385542937 cites W2531941507 @default.
- W4385542937 cites W2592426497 @default.
- W4385542937 cites W2621558595 @default.
- W4385542937 cites W2765882329 @default.
- W4385542937 cites W2770089247 @default.
- W4385542937 cites W2773213101 @default.
- W4385542937 cites W2779020741 @default.
- W4385542937 cites W2783781439 @default.
- W4385542937 cites W2793209973 @default.
- W4385542937 cites W2883994607 @default.
- W4385542937 cites W2889396819 @default.
- W4385542937 cites W2890155115 @default.
- W4385542937 cites W2902495005 @default.
- W4385542937 cites W2907888739 @default.
- W4385542937 cites W2952123642 @default.
- W4385542937 cites W2953025937 @default.
- W4385542937 cites W2954349343 @default.
- W4385542937 cites W2955533479 @default.
- W4385542937 cites W2956009998 @default.
- W4385542937 cites W2957051172 @default.
- W4385542937 cites W2958794207 @default.
- W4385542937 cites W2964427901 @default.
- W4385542937 cites W2965025337 @default.
- W4385542937 cites W2969006138 @default.
- W4385542937 cites W2999860703 @default.
- W4385542937 cites W3022431248 @default.
- W4385542937 cites W3043409646 @default.
- W4385542937 cites W3080984528 @default.
- W4385542937 cites W3092708058 @default.
- W4385542937 cites W3102486286 @default.
- W4385542937 cites W3111008324 @default.
- W4385542937 cites W3111509171 @default.
- W4385542937 cites W3119647162 @default.
- W4385542937 cites W3135575967 @default.
- W4385542937 cites W3139225382 @default.
- W4385542937 cites W3147457502 @default.
- W4385542937 cites W3155262790 @default.
- W4385542937 cites W3158480204 @default.
- W4385542937 cites W3164996889 @default.
- W4385542937 cites W3165790734 @default.
- W4385542937 cites W3172901398 @default.
- W4385542937 cites W3179206744 @default.
- W4385542937 cites W3180278111 @default.
- W4385542937 cites W3199659285 @default.
- W4385542937 cites W3217046086 @default.
- W4385542937 cites W4210281487 @default.
- W4385542937 cites W4214873792 @default.
- W4385542937 cites W4220967035 @default.
- W4385542937 cites W4224116538 @default.
- W4385542937 cites W4281684585 @default.
- W4385542937 cites W4287958750 @default.
- W4385542937 cites W4315707217 @default.
- W4385542937 doi "https://doi.org/10.1016/j.bbi.2023.07.023" @default.
- W4385542937 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37543251" @default.
- W4385542937 hasPublicationYear "2023" @default.
- W4385542937 type Work @default.
- W4385542937 citedByCount "0" @default.
- W4385542937 crossrefType "journal-article" @default.