Publications by authors named "Jodie Lord"

Background: There is uncertainty regarding how best to support patients with anorexia nervosa following inpatient or day care treatment. This study evaluated the impact of augmenting intensive treatment with a digital, guided, self-management intervention (ECHOMANTRA) for patients with anorexia nervosa and their carers.

Methods: In this pragmatic multicentre randomised controlled trial and economic evaluation, patients with a diagnosis of anorexia nervosa or atypical anorexia nervosa, aged 16+ and attending one of the 31 inpatient or day-patient services in the UK were randomised with one of their carers to receive ECHOMANTRA plus treatment as usual (TAU), or TAU alone.

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  • The study investigates the link between blood metabolites and brain health, particularly focusing on whole-brain and hippocampal volumes, as well as amyloid-β status in participants aged 60-71.
  • Using advanced techniques, researchers analyzed 1019 metabolites in 1740 individuals, identifying specific metabolite clusters related to brain imaging outcomes and Alzheimer’s disease risk.
  • Key findings reveal that certain lipid modules, particularly those enriched in sphingolipids and fatty acid pathways, showed significant associations with brain volume metrics after adjusting for various factors.
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  • ADHD can persist into older age and may increase the risk for cognitive decline and Alzheimer's Disease (AD), but research has been limited due to biased data sources.
  • This study examined the link between genetic risk for ADHD and cognitive decline in cognitively unimpaired older adults across six years, using a well-established ADHD polygenic risk score (ADHD-PRS) in 212 participants aged 55-90.
  • The findings indicated that higher ADHD-PRS is associated with greater cognitive decline and AD-related changes, particularly in individuals with amyloid-β deposition, suggesting that ADHD genetic risk contributes to vulnerability to AD pathology.
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  • The study investigates the link between metabolites and cognitive function in late midlife, aiming to identify markers and mechanisms tied to early dementia.
  • Utilizing data from 1,740 individuals in the British 1946 Birth Cohort, researchers analyzed 1,019 metabolites to assess their relationships with cognitive outcomes, adjusting for various life course factors across four different models.
  • The findings revealed associations with 155 metabolites, highlighting 35 hub metabolites, particularly palmitoylcarnitine, which were robustly linked to cognitive processing speed despite adjustments for life course influences.
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  • The study investigates how physiological differences between males and females may influence the development of Alzheimer's Disease (AD) through metabolic pathways.
  • Researchers analyzed 540 plasma metabolites in 695 participants to see how sex impacts their association with AD markers, revealing distinct metabolite changes in females and males with AD.
  • The findings highlight specific metabolites related to neurotransmission and inflammation that could lead to personalized treatment approaches for Alzheimer's based on sex differences.
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  • Blood plasma proteins have been linked to Alzheimer's disease (AD), but determining the causal proteins is still difficult.
  • The study aimed to analyze the genetic connections between selected proteins and AD using polygenic risk scores and bi-directional Mendelian randomization.
  • The results showed that certain proteins, like apolipoproteins and C-reactive protein, indicated some association with AD, but the evidence for direct causality was weak, suggesting a need for larger studies to draw stronger conclusions.
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Background: Education and cognition demonstrate consistent inverse associations with Alzheimer's disease (AD). The biological underpinnings, however, remain unclear. Blood metabolites reflect the end point of biological processes and are accessible and malleable.

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Plasma phosphorylated tau at threonine-181 (P-tau181) demonstrates promise as an accessible blood-based biomarker specific to Alzheimer's Disease (AD), with levels recently demonstrating high predictive accuracy for AD-relevant pathology. The genetic underpinnings of P-tau181 levels, however, remain elusive. This study presents the first genome-wide association study of plasma P-tau181 in a total sample of 1153 participants from 2 independent cohorts.

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There are currently no disease-modifying treatments for Alzheimer's disease (AD), and an understanding of preclinical causal biomarkers to help target disease pathogenesis in the earliest phases remains elusive. Here, we investigated whether 19 metabolites previously associated with midlife cognition-a preclinical predictor of AD-translate to later clinical risk, using Mendelian randomization (MR) to tease out AD-specific causal relationships. Summary statistics from the largest genome-wide association studies (GWASs) for AD and metabolites were used to perform bidirectional univariable MR.

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Background: Recent studies suggest that plasma phosphorylated tau181 (p-tau181) is a highly specific biomarker for Alzheimer's disease (AD)-related tau pathology. It has great potential for the diagnostic and prognostic evaluation of AD, since it identifies AD with the same accuracy as tau PET and CSF p-tau181 and predicts the development of AD dementia in cognitively unimpaired (CU) individuals and in those with mild cognitive impairment (MCI). Plasma p-tau181 may also be used as a biomarker in studies exploring disease pathogenesis, such as genetic or environmental risk factors for AD-type tau pathology.

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Background: There is an urgent need to understand the pathways and processes underlying Alzheimer's disease (AD) for early diagnosis and development of effective treatments. This study was aimed to investigate Alzheimer's dementia using an unsupervised lipid, protein and gene multi-omics integrative approach.

Methods: A lipidomics dataset comprising 185 AD patients, 40 mild cognitive impairment (MCI) individuals and 185 controls, and two proteomics datasets (295 AD, 159 MCI and 197 controls) were used for weighted gene co-expression network analyses (WGCNA).

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