Martha S. Foiani
University College London
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Publication
Featured researches published by Martha S. Foiani.
Journal of Neurology, Neurosurgery, and Psychiatry | 2018
Martha S. Foiani; Ione O.C. Woollacott; Carolin Heller; Martina Bocchetta; Amanda Heslegrave; Katrina M. Dick; Lucy L. Russell; Charles R. Marshall; Simon Mead; Jonathan M. Schott; Nick C. Fox; Jason D. Warren; Henrik Zetterberg; Jonathan D. Rohrer
Background Frontotemporal dementia (FTD) is a heterogeneous neurodegenerative disorder presenting clinically with personality change (behavioural variant FTD (bvFTD)) or language deficits (primary progressive aphasia (PPA)). About a third of FTD is familial with mutations in GRN, MAPT and C9orf72 being the major genetic causes. Robust biomarkers of the underlying pathology are still lacking in FTD with no markers currently being able to distinguish those with tau and TDP-43 inclusions during life. Methods This study used an ultrasensitive single molecule methodology to measure plasma tau concentrations in 176 participants: 71 with bvFTD, 83 with PPA and 22 healthy controls. The patient group included 36 with pathogenic mutations in either MAPT (n=12), GRN (n=9) or C9orf72 (n=15). Group comparisons were performed between clinical and genetic groups and controls using a linear regression model with bias-corrected bootstrap CIs. Correlative analyses were performed to investigate associations with measures of disease severity and progression. Results Higher plasma tau concentrations were seen in bvFTD (mean 1.96 (SD 1.07) pg/mL) and PPA (2.65 (2.15) pg/mL) compared with controls (1.67 (0.50) pg/mL). Investigating the PPA group further showed significantly higher levels compared with controls in each of the PPA subtypes (non-fluent, semantic and logopenic variants, as well as a fourth group not meeting criteria for one of the three main variants). In the genetic groups, only the MAPT group had significantly increased concentrations (2.62 (1.39) pg/mL) compared with controls. No significant correlations were seen with cross-sectional or longitudinal brain volumes, serum neurofilament light chain concentrations or disease duration. Conclusion Plasma tau levels are increased in FTD in all clinical groups, but in the genetic subtypes only in MAPT mutations, the group of patients who definitively have tau pathology at postmortem. Future studies will be required in pathologically confirmed cohorts to investigate this association further, and whether plasma tau will be helpful in differentiating patients with FTD with tau from those with other pathologies.
Alzheimer's Research & Therapy | 2018
Ross W. Paterson; Catherine F. Slattery; Teresa Poole; Jennifer M. Nicholas; Nadia Magdalinou; Jamie Toombs; Miles D. Chapman; Michael P. Lunn; Amanda Heslegrave; Martha S. Foiani; Philip S.J. Weston; Ashvini Keshavan; Jonathan D. Rohrer; Jason D. Warren; Catherine J. Mummery; Kaj Blennow; Nick C. Fox; Henrik Zetterberg; Jonathan M. Schott
BackgroundCerebrospinal fluid (CSF) biomarkers are increasingly being used to support a diagnosis of Alzheimer’s disease (AD). Their clinical utility for differentiating AD from non-AD neurodegenerative dementias, such as dementia with Lewy bodies (DLB) or frontotemporal dementia (FTD), is less well established. We aimed to determine the diagnostic utility of an extended panel of CSF biomarkers to differentiate AD from a range of other neurodegenerative dementias.MethodsWe used immunoassays to measure conventional CSF markers of amyloid and tau pathology (amyloid beta (Aβ)1–42, total tau (T-tau), and phosphorylated tau (P-tau)) as well as amyloid processing (AβX-38, AβX-40, AβX-42, soluble amyloid precursor protein (sAPP)α, and sAPPβ), large fibre axonal degeneration (neurofilament light chain (NFL)), and neuroinflammation (YKL-40) in 245 patients with a variety of dementias and 30 controls. Patients fulfilled consensus criteria for AD (n = 156), DLB (n = 20), behavioural variant frontotemporal dementia (bvFTD; n = 45), progressive non-fluent aphasia (PNFA; n = 17), and semantic dementia (SD; n = 7); approximately 10% were pathology/genetically confirmed (n = 26). Global tests based on generalised least squares regression were used to determine differences between groups. Non-parametric receiver operating characteristic (ROC) curves and area under the curve (AUC) analyses were used to quantify how well each biomarker discriminated AD from each of the other diagnostic groups (or combinations of groups). CSF cut-points for the major biomarkers found to have diagnostic utility were validated using an independent cohort which included causes of AD (n = 104), DLB (n = 5), bvFTD (n = 12), PNFA (n = 3), SD (n = 9), and controls (n = 10).ResultsThere were significant global differences in Aβ1–42, T-tau, T-tau/Aβ1–42 ratio, P-tau-181, NFL, AβX-42, AβX-42/X-40 ratio, APPα, and APPβ between groups. At a fixed sensitivity of 85%, AβX-42/X-40 could differentiate AD from controls, bvFTD, and SD with specificities of 93%, 85%, and 100%, respectively; for T-tau/Aβ1–42 these specificities were 83%, 70%, and 86%. AβX-42/X-40 had similar or higher specificity than Aβ1–42. No biomarker or ratio could differentiate AD from DLB or PNFA with specificity > 50%. Similar sensitivities and specificities were found in the independent validation cohort for differentiating AD and other dementias and in a pathology/genetically confirmed sub-cohort.ConclusionsCSF AβX-42/X-40 and T-tau/Aβ1–42 ratios have utility in distinguishing AD from controls, bvFTD, and SD. None of the biomarkers tested had good specificity at distinguishing AD from DLB or PNFA.
Frontiers in Cellular Neuroscience | 2018
Anna Maria Zeitlberger; Gilbert Thomas-Black; Héctor García-Moreno; Martha S. Foiani; Amanda Heslegrave; Henrik Zetterberg; Paola Giunti
Background: Friedreich’s ataxia (FRDA) is the most common autosomal recessive ataxia. Disease-modifying treatments are not available yet; however, several compounds are currently under investigation. As a result, there is a growing need for the identification of robust and easily accessible biomarkers for the monitoring of disease activity and therapeutic efficacy. The simultaneous measurement of multiple brain-derived proteins could represent a time- and cost-efficient approach for biomarker investigation in pathologically complex neurodegenerative diseases like FRDA. Objectives: To investigate the role of plasma neurofilament-light chain (NfL), glial fibrillary acidic protein (GFAP), total tau (t-tau) and ubiquitin C-terminal hydrolase L1(UCHL1) as biomarkers in FRDA. Additionally, NfL measurements derived from the novel multiplex assay were compared to those from an established NfL singleplex assay. Methods: In this study, an ultrasensitive Single molecule array (Simoa) 4-plex assay was used for the measurement of plasma NfL, GFAP, t-tau, and UCHL1 in 33 FRDA patients and 13 age-matched controls. Differences in biomarker concentrations between these groups were computed and associations with genetic and disease related parameters investigated. Additionally, the agreement between NfL measurements derived from the 4-Plex and an established Simoa NfL singleplex assay was assessed. Results: Mean plasma NfL, GFAP and UCHL1 levels were significantly higher in FRDA patients than in controls (NfL: p < 0.001; GFAP: p = 0.006, and UCHL1: p = 0.020). Conversely, there was no significant difference in concentrations of t-tau in the patient and control group (p = 0.236). None of the proteins correlated with the GAA repeat length or the employed measures of disease severity. The individual NfL values derived from the two assays showed a strong concordance (rc = 0.93). Although the mean difference of 1.29 pg/mL differed significantly from 0 (p = 0.006), regression analysis did not indicate the presence of a proportional bias. Conclusion: This is the first study demonstrating that NfL, GFAP, and UCHL1 levels are raised in FRDA, potentially reflecting ongoing neuronal degeneration and glial activation. Further studies are required to determine their role as marker for disease activity and progression. Furthermore, the novel 4-plex assay appears to be a valid tool to simultaneously measure brain-derived proteins at extremely low concentrations in the peripheral circulation.
Disease Models & Mechanisms | 2018
Tammaryn Lashley; Jonathan M. Schott; Philip S.J. Weston; Ce Murray; Henny Wellington; Ashvini Keshavan; Sandrine C. Foti; Martha S. Foiani; Jamie Toombs; Jonathan D. Rohrer; Amanda Heslegrave; Henrik Zetterberg
ABSTRACT The neurodegenerative disorder Alzheimers disease is characterised by the formation of β-amyloid plaques and neurofibrillary tangles in the brain parenchyma, which cause synapse and neuronal loss. This leads to clinical symptoms, such as progressive memory deficits. Clinically, these pathological changes can be detected in the cerebrospinal fluid and with brain imaging, although reliable blood tests for plaque and tangle pathologies remain to be developed. Plaques and tangles often co-exist with other brain pathologies, including aggregates of transactive response DNA-binding protein 43 and Lewy bodies, but the extent to which these contribute to the severity of Alzheimers disease is currently unknown. In this ‘At a glance’ article and poster, we summarise the molecular biomarkers that are being developed to detect Alzheimers disease and its related pathologies. We also highlight the biomarkers that are currently in clinical use and include a critical appraisal of the challenges associated with applying these biomarkers for diagnostic and prognostic purposes of Alzheimers disease and related neurodegenerative disorders, also in their prodromal clinical phases. Summary: This ‘At a glance’ article summarises the molecular biomarkers of Alzheimers and related diseases, highlighting the challenges and opportunities for diagnostic and prognostic applications.
Alzheimers & Dementia | 2018
Raquel Sánchez-Valle; Amanda Heslegrave; Martha S. Foiani; Beatriz Bosch; Anna Antonell; Mircea Balasa; Albert Lladó; Henrik Zetterberg; Nick C. Fox
Laboratory, Sahlgrenska University Hospital, M€olndal, Sweden; Assistance Publique – Hôpitaux de Paris, UF Biochimie des Maladies Neuro-m etaboliques, Service de Biochimie M etabolique, Groupe Hospitalier Piti e-Salpêtri ere, Paris, France; Istituto di Ricovero e Cura a Carattere Scientifico, Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; Assistance Publique – Hôpitaux de Paris, Hôpital Piti e-Salpêtri ere, D epartement deM edecine Nucl eaire, Paris, France. Contact e-mail: filippo. [email protected]
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring | 2018
Jamie Toombs; Martha S. Foiani; Henrietta Wellington; Ross W. Paterson; Charles Arber; Amanda Heslegrave; Michael P. Lunn; Jonathan M. Schott; Selina Wray; Henrik Zetterberg
We tested the hypothesis that the amyloid β (Aβ) peptide ratios are more stable than Aβ42 alone when biofluids are exposed to two preanalytical conditions known to modify measurable Aβ concentration.
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring | 2018
Niels Kruse; Amanda Heslegrave; Vandana Gupta; Martha S. Foiani; Anna Villar-Piqué; Matthias Schmitz; Sylvain Lehmann; Charlotte E. Teunissen; Kaj Blennow; Henrik Zetterberg; Brit Mollenhauer; Inga Zerr; Franc Llorens
Cerebrospinal fluid α‐synuclein level is increased in sporadic Creutzfeldt‐Jakob disease cases. However, the clinical value of this biomarker remains to be established. In this study, we have addressed the clinical validation parameters and the interlaboratory reproducibility by using an electrochemiluminescent assay.
Alzheimers & Dementia | 2017
Martha S. Foiani; Carolin Heller; Ione O.C. Woollacott; Charles R. Marshall; Amanda Heslegrave; Jason D. Warren; Henrik Zetterberg; Jonathan D. Rohrer
(AD1⁄433; MCI1⁄452; Normal Controls1⁄4 43). First, we investigate the capacity of the defined oculomotor parameters (in a combination of 556 variables) to distinguish between AD and normal control groups. With this purpose, we selected the most capable parameters using an heuristic algorithm. Then, classification models were trained on a multidimensional representation of eye movements from a subsample of the 3 groups. MCI data was tested with the classifiers after training the model, to verify if MCI subjects would have an oculomotor pattern similar to either AD or normal control group. Results: Automatic classification algorithms were able to distinguish between AD subjects and normal controls, with good levels of performance, having the best results reached 85% of accuracy, 70% of sensitivity and 18% of error. Also, the classifiers successfully classified 18 MCI subjects with an AD oculomotor profile. Conclusions: Different oculomotor parameters, when combined together, significantly improve the ability to accurately distinguish between healthy and impaired subjects. Eye movement analysis reveals the potential to detect early oculomotor deficits in MCI patients similar to AD subjects, and suggests a promising approach for detecting early AD.
Journal of Alzheimer's Disease | 2017
Jamie Toombs; Martha S. Foiani; Ross W. Paterson; Amanda Heslegrave; Selina Wray; Jonathan M. Schott; Nick C. Fox; Michael P. Lunn; Kaj Blennow; Henrik Zetterberg
Alzheimer's Research & Therapy | 2018
Ione O.C. Woollacott; Jennifer M. Nicholas; Amanda Heslegrave; Carolin Heller; Martha S. Foiani; Katrina M. Dick; Lucy L. Russell; Ross W. Paterson; Ashvini Keshavan; Nick C. Fox; Jason D. Warren; Jonathan M. Schott; Henrik Zetterberg; Jonathan D. Rohrer