Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Jeban Ganesalingam is active.

Publication


Featured researches published by Jeban Ganesalingam.


Science | 2009

Mutations in FUS, an RNA Processing Protein, Cause Familial Amyotrophic Lateral Sclerosis Type 6

Caroline Vance; Boris Rogelj; Tibor Hortobágyi; Kurt J. De Vos; Agnes L. Nishimura; Jemeen Sreedharan; Xun Hu; Bradley Smith; Deborah Ruddy; Paul D. Wright; Jeban Ganesalingam; Kelly L. Williams; Vineeta Tripathi; Safa Al-Saraj; Ammar Al-Chalabi; P. Nigel Leigh; Ian P. Blair; Garth A. Nicholson; Jackie de Belleroche; Jean-Marc Gallo; Christopher Miller; Christopher Shaw

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease that is familial in 10% of cases. We have identified a missense mutation in the gene encoding fused in sarcoma (FUS) in a British kindred, linked to ALS6. In a survey of 197 familial ALS index cases, we identified two further missense mutations in eight families. Postmortem analysis of three cases with FUS mutations showed FUS-immunoreactive cytoplasmic inclusions and predominantly lower motor neuron degeneration. Cellular expression studies revealed aberrant localization of mutant FUS protein. FUS is involved in the regulation of transcription and RNA splicing and transport, and it has functional homology to another ALS gene, TARDBP, which suggests that a common mechanism may underlie motor neuron degeneration.


Neurology | 2009

Natural history and clinical features of the flail arm and flail leg ALS variants

Lokesh Wijesekera; S. Mathers; P. Talman; C. Galtrey; Michael H Parkinson; Jeban Ganesalingam; Emma Willey; Mary-Ann Ampong; C M Ellis; Christopher Shaw; Ammar Al-Chalabi; P N Leigh

Objective: We sought to define the significance of brachial amyotrophic diplegia (flail arm syndrome [FA]) and the pseudopolyneuritic variant (flail leg syndrome [FL]) of amyotrophic lateral sclerosis (ALS; motor neuron disease). Methods: We analyzed survival in clinic cohorts in London, UK (1,188 cases), and Melbourne, Australia (432 cases). Survival from disease onset was analyzed using the Kaplan- Meier method and Cox proportional hazards model. Results: In the London cohort, the FA syndrome represented 11% and the FL syndrome 6% of the sample. Median survival was 35 months for limb onset and 27 months for bulbar onset ALS, whereas this was 61 months for FA syndrome (p < 0.001) and 69 months for FL syndrome (p < 0.001). Five-year survival in this cohort was 8.8% for bulbar onset, 20% for limb onset, 52% for FA syndrome, and 64% for FL syndrome. The ratio of men to women was 4:1 in the FA group compared to 2:1 in other limb onset cases. Excluding lower motor neuron FA and FL cases, progressive muscular atrophy comprised 4% of the sample and had a prognosis similar to typical limb onset ALS. In the Melbourne cohort, median survival for limb onset ALS was 31 months, bulbar onset 27 months, FA syndrome 66 months (p < 0.001), and FL syndrome 71 months (p = 0.001). Conclusions: The flail arm (FA) and flail leg (FL) syndromes had significantly better survival than typical amyotrophic lateral sclerosis (ALS) or progressive muscular atrophy cases that were not classified as FA or FL. Our findings underline the clinical and prognostic importance of the FA and FL variants of ALS.


Journal of Neurochemistry | 2011

Combination of neurofilament heavy chain and complement C3 as CSF biomarkers for ALS.

Jeban Ganesalingam; Jiyan An; Christopher Shaw; Gerry Shaw; David Lacomis; Robert Bowser

J. Neurochem. (2011) 117, 528–537.


Amyotrophic Lateral Sclerosis | 2007

A longitudinal study of diffusion tensor MRI in ALS

Camilla Blain; Victoria C. Williams; C. Johnston; Biba R. Stanton; Jeban Ganesalingam; Jozef Jarosz; Derek K. Jones; Gareth J. Barker; Steven Williams; Nigel Leigh; Andrew Simmons

In this study, we investigated whether diffusion tensor MRI (DTI) could detect progressive corticospinal tract degeneration in amyotrophic lateral sclerosis (ALS) and whether changes in diffusion variables reflected clinical deterioration. Twenty‐three ALS patients and 25 healthy volunteers underwent whole brain DTI. Patients and a subset (n = 12) of controls returned for a second scan. Clinical measures of disease severity were assessed in the ALS group. Changes in fractional anisotropy (FA) and mean diffusivity (MD) were measured along the corticospinal tract using a region of interest approach. Adequate DTI data were available in 11 ALS patients and 11 controls at two time points. FA and MD differed significantly between ALS patients and controls at both time points, but neither changed significantly over time, while global measures of disease severity in patients increased with time. Although we confirmed that DTI detects corticospinal tract damage in ALS, there were no significant changes in diffusion measures over time. The sensitivity of DTI may be improved by advanced data analysis techniques, although the high dropout rate suggests that use of MRI as a biomarker in ALS may be restricted to earlier stages of disease.


Amyotrophic Lateral Sclerosis | 2010

The sex ratio in amyotrophic lateral sclerosis: A population based study

Zita R. Manjaly; Kirsten M. Scott; Kumar Abhinav; Lokesh Wijesekera; Jeban Ganesalingam; Laura H. Goldstein; Anna Janssen; Andrew Dougherty; Emma Willey; Biba R. Stanton; Martin Turner; Mary-Ann Ampong; Mohammed Sakel; Richard W. Orrell; Robin Howard; Christopher Shaw; P. Nigel Leigh; Ammar Al-Chalabi

Abstract Replicable risk factors for ALS include increasing age, family history and being male. The male: female ratio has been reported as being between 1 and 3. We tested the hypothesis that the sex ratio changes with age in a population register covering the south-east of England. The sex ratio before and after the age of 51 years was compared using a Z-test for proportions. Kendalls tau was used to assess the relationship between age group and sex ratio using incidence and prevalence data. Publicly available data from Italian and Irish population registers were compared with results. There was a significant difference in the proportion of females with ALS between those in the younger group (30.11%) and those in the older group (43.66%) (p = 0.013). The adjusted male: female ratio dropped from 2.5 in the younger group to 1.4 in the older group using prevalence data (Kendalls tau = −0.73, p = 0.039). Similar ratios were found in the Italian but not the Irish registry. We concluded that sex ratios in ALS may change with age. Over-representation of younger patients in clinic registers may explain the variation in sex ratios between studies. Menopause may also play a role.


Journal of Neurology, Neurosurgery, and Psychiatry | 2011

Low index-to-ring finger length ratio in sporadic ALS supports prenatally defined motor neuronal vulnerability

Umesh Vivekananda; Zita-Rose Manjalay; Jeban Ganesalingam; Jacqueline Simms; Christopher Shaw; P. Nigel Leigh; Martin Turner; Ammar Al-Chalabi

Background The aetiology of apparently sporadic amyotrophic lateral sclerosis (ALS) is unknown, but prenatal factors are known to influence disease development. In both men and women, motor neurons require testosterone for survival and axonal regeneration after injury, and androgen insensitivity leads to a form of motor neuron degeneration in men. Reduction in the ratio of index to ring finger length (2D:4D ratio) is considered a surrogate marker for high prenatal testosterone levels in both men and women. The authors therefore tested the hypothesis that prenatal testosterone irrespective of gender is an independent risk factor for the development of ALS later in life, and that this would be reflected in a lower 2D:4D ratio in both men and women with ALS. Methods Patients and unrelated control individuals attending a specialist tertiary referral centre for ALS were studied. A digital camera was used to photograph hands. Finger lengths were measured by four independent scorers blind to case–control status, and the mean 2D:4D ratio derived. Analysis was by linear regression and receiver-operator-curve analysis. Results Controlling for differences in sex ratio between groups, the 2D:4D ratio was lower for people with ALS (n=47) than for controls (n=63) (r=−0.25, two-tailed p=0.009). Conclusions Patients with ALS have a lower 2D:4D ratio, consistent with higher prenatal circulating levels of testosterone, and possibly a prenatal influence of testosterone on motor-neuron vulnerability in later life.


PLOS ONE | 2009

Latent Cluster Analysis of ALS Phenotypes Identifies Prognostically Differing Groups

Jeban Ganesalingam; Daniel Stahl; Lokesh Wijesekera; Clare Galtrey; Christopher Shaw; P. Nigel Leigh; Ammar Al-Chalabi

Background Amyotrophic lateral sclerosis (ALS) is a degenerative disease predominantly affecting motor neurons and manifesting as several different phenotypes. Whether these phenotypes correspond to different underlying disease processes is unknown. We used latent cluster analysis to identify groupings of clinical variables in an objective and unbiased way to improve phenotyping for clinical and research purposes. Methods Latent class cluster analysis was applied to a large database consisting of 1467 records of people with ALS, using discrete variables which can be readily determined at the first clinic appointment. The model was tested for clinical relevance by survival analysis of the phenotypic groupings using the Kaplan-Meier method. Results The best model generated five distinct phenotypic classes that strongly predicted survival (p<0.0001). Eight variables were used for the latent class analysis, but a good estimate of the classification could be obtained using just two variables: site of first symptoms (bulbar or limb) and time from symptom onset to diagnosis (p<0.00001). Conclusion The five phenotypic classes identified using latent cluster analysis can predict prognosis. They could be used to stratify patients recruited into clinical trials and generating more homogeneous disease groups for genetic, proteomic and risk factor research.


Amyotrophic Lateral Sclerosis | 2013

pNfH is a promising biomarker for ALS.

Jeban Ganesalingam; Jiyan An; Robert Bowser; Peter Andersen; Christopher Shaw

Abstract A diagnostic biomarker for ALS would permit early intervention with disease-modifying therapies while a biomarker for disease activity could accelerate the pace of drug discovery by facilitating shorter, and less costly, drug trials to be conducted with a smaller number of patients. Neurofilaments are the most abundant neuronal cytoskeletal protein. We set out to determine whether pNfH was a credible biomarker for ALS. pNfH levels were determined using an ELISA for 150 ALS subjects and 140 controls. We demonstrated a seven-fold elevation in the cerebrospinal fluid (CSF) levels of phosphorylated neurofilament heavy subunit (pNfH) in ALS (median = 2787 pg/ml, n = 150), compared to headache and other benign controls (394 pg/ml, n = 100, p = < 0.05). There was a 10-fold elevation of pNfH compared to ALS mimics (266 pg/ml, n = 20) and other neurodegenerative and inflammatory conditions (279 pg/ml for n = 20) which was also highly significant (p = < 0.05). pNfH achieved a diagnostic sensitivity of 90% and specificity of 87% in distinguishing ALS from all controls. We also detected an inverse correlation between CSF pNfH levels and disease duration (time from symptom onset to death, r2 = 0.1247, p = 0.001). In conclusion, pNfH represents a promising candidate for inclusion in a panel of diagnostic and prognostic biomarkers.


Biomarkers in Medicine | 2010

The application of biomarkers in clinical trials for motor neuron disease

Jeban Ganesalingam; Robert Bowser

The interest and research into disease-related biomarkers has greatly accelerated over the last 10 years. The potential clinical benefits for disease-specific biomarkers include a more rapid and accurate disease diagnosis, and potential reduction in size and duration of clinical drug trials, which would speed up drug development. The application of biomarkers into the clinical arena of motor neuron disease should both determine if a drug hits its proposed target and whether the drug alters the course of disease. This article will highlight the progress made in discovering suitable biomarker candidates from a variety of sources, including imaging, neurophysiology and proteomics. For biomarkers to have clinical utility, specific criteria must be satisfied. While there has been tremendous effort to discover biomarkers, very few have been translated to the clinic. The bottlenecks in the biomarker pipeline will be highlighted as well as lessons that can be learned from other disciplines, such as oncology.


Amyotrophic Lateral Sclerosis | 2010

The association between ALS and population density: A population based study

Kirsten M. Scott; Kumar Abhinav; Lokesh Wijesekera; Jeban Ganesalingam; Laura H. Goldstein; Anna Janssen; Andrew Dougherty; Emma Willey; Biba R. Stanton; Martin Turner; Mary-Ann Ampong; Mohammed Sakel; Richard W. Orrell; Robin Howard; Christopher Shaw; P. Nigel Leigh; Ammar Al-Chalabi

Abstract We aimed to assess whether rural residence is associated with amyotrophic lateral sclerosis in the south-east of England using a population based register. Previous studies in different populations have produced contradictory findings. Residence defined by London borough or non-metropolitan district at time of diagnosis was recorded for each incident case in the South-East England ALS Register between 1995 and 2005. Each of the 26 boroughs or districts of the catchment area of the register was classified according to population density. Age- and sex-adjusted incidence of ALS was calculated for each region and the relationship with population density tested by linear regression, thereby controlling for the underlying population structure. We found that population density in region of residence at diagnosis explained 25% of the variance in ALS rates (r = 0.5, p < 0.01). Thus, in this cohort in the south-east of England, people with ALS were more likely to be resident in areas of high population density at diagnosis.

Collaboration


Dive into the Jeban Ganesalingam's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Robert Bowser

St. Joseph's Hospital and Medical Center

View shared research outputs
Top Co-Authors

Avatar

P. Nigel Leigh

Brighton and Sussex Medical School

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

David Lacomis

University of Pittsburgh

View shared research outputs
Top Co-Authors

Avatar

Jiyan An

St. Joseph's Hospital and Medical Center

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge