Dilan Athauda

Dr. Dilan Athauda


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2016 in Drug Discovery Today
Verified
Journal Article
Open access
DADilan Athauda
Dilan Athauda
TFThomas Foltynie
Thomas Foltynie
Growing evidence suggests that agonists of the glucagon-like peptide 1 (GLP-1) receptor provide neuroprotection across a range of experimental models of Parkinson's disease (PD) and, recently, a small proof-of-concept, open-label human trial of exenatide in the treatment moderate severity PD appeared to show persistent improvements in motor and cognitive function. The underlying mechanisms of action remain unclear, but as evidence for the potential use of GLP-1 agonists in treating several neurodegenerative disease mounts, and with several clinical trials of GLP-1 analogues in PD and Alzheimer's disease (AD) currently underway, here we review the molecular mechanisms underlying the neuroprotective effects of GLP-1 analogues in the laboratory and their potential therapeutic utility with particular relevance to PD and PD dementia (PDD).

1 October 2016 in Progress in Neurobiology
Verified
Journal Article
Open access
DADilan Athauda
Dilan Athauda
TFThomas Foltynie
Thomas Foltynie
There is growing evidence that patients with Type 2 diabetes have an increased risk of developing Parkinson's disease and share similar dysregulated pathways suggesting common underlying pathological mechanisms. Historically insulin was thought solely to be a peripherally acting hormone responsible for glucose homeostasis and energy metabolism. However accumulating evidence indicates insulin can cross the blood-brain-barrier and influence a multitude of processes in the brain including regulating neuronal survival and growth, dopaminergic transmission, maintenance of synapses and pathways involved in cognition. In conjunction, there is growing evidence that a process analogous to peripheral insulin resistance occurs in the brains of Parkinson's disease patients, even in those without diabetes. This raises the possibility that defective insulin signalling pathways may contribute to the development of the pathological features of Parkinson's disease, and thereby suggests that the insulin signalling pathway may potentially be a novel target for disease modification. Given these growing links between PD and Type 2 diabetes it is perhaps not unsurprising that drugs used the treatment of T2DM are amongst the most promising treatments currently being prioritised for repositioning as possible novel treatments for PD and several clinical trials are under way. In this review, we will examine the underlying cellular links between insulin resistance and the pathogenesis of PD and then we will assess current and future pharmacological strategies being developed to restore neuronal insulin signalling as a potential strategy for slowing neurodegeneration in Parkinson's disease.

14 June 2022 in Movement Disorders
Verified
Journal Article
Open access
DADilan Athauda
Dilan Athauda
JEJames Evans
James Evans
AWAnna Wernick
Anna Wernick
GVGurvir Virdi
Gurvir Virdi
MCMinee L. Choi
Minee L. Choi
SGSonia Gandhi
Sonia Gandhi
Background: Type 2 diabetes (T2DM) is an established risk factor for developing Parkinson's disease (PD), but its effect on disease progression is not well understood.Objective: The aim of this study was to investigate the influence of T2DM on aspects of disease progression in PD.Methods: We analyzed data from the Tracking Parkinson's study to examine the effects of comorbid T2DM on PD progression and quality of life by comparing symptom severity scores assessing a range of motor and nonmotor symptoms.Results: We identified 167 (8.7%) patients with PD and T2DM (PD + T2DM) and 1763 (91.3%) patients with PD without T2DM (PD). After controlling for confounders, patients with T2DM had more severe motor symptoms, as assessed by Movement Disorder Society Unified Parkinson's Disease Rating Scale, Part III (25.8 [0.9] vs. 22.5 [0.3] P = 0.002), and nonmotor symptoms, as assessed by Non‐Motor Symptoms Scale total (38.4 [2.5] vs. 31.8 [0.7] P < 0.001), and were significantly more likely to report loss of independence (odds ratio, 2.08; 95% confidence interval [CI]: 1.34–3.25; P = 0.001) and depression (odds ratio, 1.62; CI: 1.10–2.39; P = 0.015). Furthermore, over time, patients with T2DM had significantly faster motor symptom progression (P = 0.012), developed worse mood symptoms (P = 0.041), and were more likely to develop substantial gait impairment (hazard ratio, 1.55; CI: 1.07–2.23; P = 0.020) and mild cognitive impairment (hazard ratio, 1.7; CI: 1.24–2.51; P = 0.002) compared with the PD group.Conclusions: In the largest study to date, T2DM is associated with faster disease progression in Parkinson's, highlighting an interaction between these two diseases. Because it is a potentially modifiable metabolic state, with multiple peripheral and central targets for intervention, it may represent a target for alleviating parkinsonian symptoms and slowing progression to disability and dementia. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society

2 August 2018 in European Journal of Neuroscience
Verified
Journal Article
Closed access
PDF file
DADilan Athauda
Dilan Athauda
KMKate Maclagan
Kate Maclagan
NBNatalia Budnik
Natalia Budnik
LZLuca Zampedri
Luca Zampedri
SHSteve Hibbert
Steve Hibbert
TFThomas Foltynie
Thomas Foltynie

1 November 2016 in Parkinsonism & Related Disorders
Verified
Journal Article
Open access
DADilan Athauda
Dilan Athauda
TFThomas Foltynie
Thomas Foltynie
Despite the wealth of encouraging data from numerous compounds that demonstrate "neuroprotection" in pre-clinical studies of Parkinson's disease, and despite numerous clinical trials, to date, no intervention has been demonstrated to able to modify the course of disease progression. While this "failure to translate" is likely due to numerous factors including our incomplete understanding of the pathogenic mechanisms underlying PD together with excessive reliance on data from the toxin-based animal models of PD, here we will discuss the "structural issues" pertaining to inadequate clinical trial design, selection of inappropriate endpoints and poor patient selection which are often not addressed following failed disease modification trials. Future directions to overcome these challenges such as reducing the heterogeneity of patient cohorts, identifying and utilising a pre-diagnostic population, embracing a personalised medicine approach and utilising novel trial designs may be required to ultimately fulfil the goal of conclusively demonstrating evidence of disease modification.

16 May 2022 in Journal of Neurology, Neurosurgery & Psychiatry
Verified
Journal Article
Open access
PDF file
NVNirosen Vijiaratnam
Nirosen Vijiaratnam
MLMichael Lawton
Michael Lawton
AHAmanda Jane Heslegrave
Amanda Jane Heslegrave
TGTong Guo
Tong Guo
MTManuela Tan
Manuela Tan
HMHuw R Morris
Huw R Morris
Background: Patients with Parkinson’s disease (PD) have variable rates of progression. More accurate prediction of progression could improve selection for clinical trials. Although some variance in clinical progression can be predicted by age at onset and phenotype, we hypothesise that this can be further improved by blood biomarkers.Objective: To determine if blood biomarkers (serum neurofilament light (NfL) and genetic status (glucocerebrosidase,GBAand apolipoprotein E (APOE))) are useful in addition to clinical measures for prognostic modelling in PD.Methods: We evaluated the relationship between serum NfL and baseline and longitudinal clinical measures as well as patients’ genetic (GBAandAPOE) status. We classified patients as having a favourable or an unfavourable outcome based on a previously validated model, and explored how blood biomarkers compared with clinical variables in distinguishing prognostic phenotypes .Results: 291 patients were assessed in this study. Baseline serum NfL was associated with baseline cognitive status. Nfl predicted a shorter time to dementia, postural instability and death (dementia—HR 2.64; postural instability—HR 1.32; mortality—HR 1.89) whereas APOEe4 status was associated with progression to dementia (dementia—HR 3.12, 95% CI 1.63 to 6.00). NfL levels and genetic variables predicted unfavourable progression to a similar extent as clinical predictors. The combination of clinical, NfL and genetic data produced a stronger prediction of unfavourable outcomes compared with age and gender (area under the curve: 0.74-age/gender vs 0.84-ALL p=0.0103).Conclusions: Clinical trials of disease-modifying therapies might usefully stratify patients using clinical, genetic and NfL status at the time of recruitment.