Variability and magnitude of brain glutamate levels in schizophrenia: a meta and mega-analysis.
Kate MerrittRobert A McCutcheonAndré AlemanSarah AshleyKatherine BeckWolfgang BlockOswald J N BloemenFaith R BorganChristiana BoulesJuan R BustilloAristides A CapizzanoJennifer M CoughlinAnthony DavidCamilo de la Fuente-SandovalArsime DemjahaKara DempsterKim Quang DoFei DuPeter FalkaiBeata Galińska-SkokJürgen GallinatCharles GasparovicCedric E GinestetNaoki GotoAriel Graff-GuerreroBeng-Choon HoOliver HowesSameer JauharPeter JeonTadafumi KatoCharles A KaufmannLawrence S KegelesMatcheri S KeshavanSang-Young KimBridget KingHiroshi KunugiJ LaurielloPablo León-OrtizEdith LiemburgMeghan E McilwainGemma ModinosElias MouchlianitisJun NakamuraIgor NenadicDost ÖngürMiho OtaLena PalaniyappanChristos PantelisTulsi PatelEric PlitmanSotirios PosporelisScot E PurdonJürgen R ReichenbachPerry F RenshawFrancisco Reyes-MadrigalBruce R RussellAkira SawaMartin SchaeferDikoma C ShunguStefan SmesnyJeffrey A StanleyJames StoneAgata SzulcReggie TaylorKatharine N ThakkarJean ThébergePhilip G TibboThérèse van AmelsvoortJerzy WaleckiPeter C WilliamsonStephen J WoodLijing XinHidenori YamasuePhilip K McGuireAlice Egertonnull nullPublished in: Molecular psychiatry (2023)
Glutamatergic dysfunction is implicated in schizophrenia pathoaetiology, but this may vary in extent between patients. It is unclear whether inter-individual variability in glutamate is greater in schizophrenia than the general population. We conducted meta-analyses to assess (1) variability of glutamate measures in patients relative to controls (log coefficient of variation ratio: CVR); (2) standardised mean differences (SMD) using Hedges g; (3) modal distribution of individual-level glutamate data (Hartigan's unimodality dip test). MEDLINE and EMBASE databases were searched from inception to September 2022 for proton magnetic resonance spectroscopy (1H-MRS) studies reporting glutamate, glutamine or Glx in schizophrenia. 123 studies reporting on 8256 patients and 7532 controls were included. Compared with controls, patients demonstrated greater variability in glutamatergic metabolites in the medial frontal cortex (MFC, glutamate: CVR = 0.15, p < 0.001; glutamine: CVR = 0.15, p = 0.003; Glx: CVR = 0.11, p = 0.002), dorsolateral prefrontal cortex (glutamine: CVR = 0.14, p = 0.05; Glx: CVR = 0.25, p < 0.001) and thalamus (glutamate: CVR = 0.16, p = 0.008; Glx: CVR = 0.19, p = 0.008). Studies in younger, more symptomatic patients were associated with greater variability in the basal ganglia (BG glutamate with age: z = -0.03, p = 0.003, symptoms: z = 0.007, p = 0.02) and temporal lobe (glutamate with age: z = -0.03, p = 0.02), while studies with older, more symptomatic patients associated with greater variability in MFC (glutamate with age: z = 0.01, p = 0.02, glutamine with symptoms: z = 0.01, p = 0.02). For individual patient data, most studies showed a unimodal distribution of glutamatergic metabolites. Meta-analysis of mean differences found lower MFC glutamate (g = -0.15, p = 0.03), higher thalamic glutamine (g = 0.53, p < 0.001) and higher BG Glx in patients relative to controls (g = 0.28, p < 0.001). Proportion of males was negatively associated with MFC glutamate (z = -0.02, p < 0.001) and frontal white matter Glx (z = -0.03, p = 0.02) in patients relative to controls. Patient PANSS total score was positively associated with glutamate SMD in BG (z = 0.01, p = 0.01) and temporal lobe (z = 0.05, p = 0.008). Further research into the mechanisms underlying greater glutamatergic metabolite variability in schizophrenia and their clinical consequences may inform the identification of patient subgroups for future treatment strategies.
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