| 1. |
- Ingre, Caroline, et al.
(författare)
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A 50bp deletion in the SOD1 promoter lowers enzyme expression but is not associated with ALS in Sweden
- 2016
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Ingår i: Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. - : Informa UK Limited. - 2167-8421 .- 2167-9223. ; 17:5-6, s. 452-457
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Tidskriftsartikel (refereegranskat)abstract
- Mutations in the superoxide dismutase (SOD1) gene have been linked to amyotrophic lateral sclerosis (ALS). A 50 base pair (bp) deletion of SOD1 has been suggested to reduce transcription and to be associated with later disease onset in ALS. This study was aimed to reveal if the 50bp deletion influenced SOD1 enzymatic activity, occurrence and phenotype of the disease in a Swedish ALS/control cohort. Blood samples from 512 Swedish ALS patients and 354 Swedish controls without coding SOD1 mutations were analysed for the 50bp deletion allele. The enzymatic activity of SOD1 in erythrocytes was analysed and genotype-phenotype correlations were assessed. Results demonstrated that the genotype frequencies of the 50bp deletion were all found to be in Hardy-Weinberg equilibrium. No significant differences were found for age of onset, disease duration or site of onset. SOD1 enzymatic activity showed a statistically significant decreasing trend in the control group, in which the allele was associated with a 5% reduction in SOD1 activity. The results suggest that the 50bp deletion has a moderate reducing effect on SOD1 synthesis. No modulating effects, however, were found on ALS onset, phenotype and survival in the Swedish population.
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| 2. |
- Nordin, Angelica, et al.
(författare)
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Extensive size variability of the GGGGCC expansion in C9orf72 in both neuronal and non-neuronal tissues in 18 patients with ALS or FTD
- 2015
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Ingår i: Human Molecular Genetics. - : Oxford University Press (OUP). - 0964-6906 .- 1460-2083. ; 24:11, s. 3133-3142
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Tidskriftsartikel (refereegranskat)abstract
- A GGGGCC-repeat expansion in C9orf72 is the most common genetic cause of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) among Caucasians. However, little is known about the variability of the GGGGCC expansion in different tissues and whether this correlates with the observed phenotype. Here, we used Southern blotting to estimate the size of hexanucleotide expansions in C9orf72 in neural and non-neural tissues from 18 autopsied ALS and FTD patients with repeat expansion in blood. Digitalization of the Southern blot images allowed comparison of repeat number, smear distribution and expansion band intensity between tissues and between patients. We found marked intra-individual variation of repeat number between tissues, whereas there was less variation within each tissue group. In two patients, the size variation between tissues was extreme, with repeat numbers below 100 in all studied non-neural tissues, whereas expansions in neural tissues were 20-40 times greater and in the same size range observed in neural tissues of the other 16 patients. The expansion pattern in different tissues could not distinguish between diagnostic groups and no correlation was found between expansion size in frontal lobe and occurrence of cognitive impairment. In ALS patients, a less number of repeats in the cerebellum and parietal lobe correlated with earlier age of onset and a larger number of repeats in the parietal lobe correlated with a more rapid progression. In 43 other individuals without repeat expansion in blood, we find that repeat sizes up to 15 are stable, as no size variation between blood, brain and spinal cord was found.
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| 3. |
- Olesen, Mads Nikolaj, et al.
(författare)
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Inflammatory profiles relate to survival in subtypes of amyotrophic lateral sclerosis
- 2020
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Ingår i: Neurology. - : Wolters Kluwer. - 2332-7812. ; 7:3
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Tidskriftsartikel (refereegranskat)abstract
- Objective: To investigate inflammatory cytokines in patients with motor neuron disease (MND) evaluating the putative contribution of amyotrophic lateral sclerosis (ALS)-causing gene variants.Methods: This study is a retrospective case series with prospective follow-up (1994–2016) of 248 patients with MND, of whom 164 had ALS who were screened for mutations in the genes for SOD1 and C9orf72. Paired CSF and plasma were collected at the diagnostic evaluation before treatment. A panel of cytokines were measured blindly via digital ELISA on the Simoa platform.Results: Time from disease onset to death was longer for patients with ALS-causing SOD1 mutations (mSOD1, n = 24) than those with C9orf72 hexanucleotide repeat expansion (C9orf72HRE) ALS (n = 19; q = 0.001) and other ALS (OALS) (n = 119; q = 0.0008). Patients with OALS had higher CSF tumor necrosis factor alpha (TNF-α) compared with those with C9orf72HRE ALS (q = 0.014). Patients with C9orf72HRE ALS had higher CSF interferon alpha compared with those with OALS and mSOD1 ALS (q = 0.042 and q = 0.042). In patients with ALS, the survival was negatively correlated with plasma interleukin (IL) 10 (hazard ratio [HR] 1.17, 95% CI 1.05–1.30). Plasma TNF-α, IL-10, and TNF-related apoptosis-inducing ligand (TRAIL) (HR 1.01 [1.00–1.02], 1.15 [1.02–1.30], and 1.01 [1.00–1.01], respectively) of patients with OALS, plasma IL-1β (HR 5.90 [1.27–27.5]) of patients with C9orf72HRE ALS, and CSF TRAIL (10.5 [1.12–98.6]) of patients with mSOD1 ALS all correlated negatively with survival.Conclusions: Differences in survival times in ALS subtypes were correlated with cytokine levels, suggesting specific immune responses related to ALS genetic variants.
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| 4. |
- Behzadi, Arvin, 1994-
(författare)
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Biomarkers for diagnosis and prognosis in amyotrophic lateral sclerosis
- 2024
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Background: Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterized by loss of upper and lower motor neurons, leading to paresis, muscle atrophy, and respiratory failure. ALS can be difficult to diagnose and prognosticate early.Aim: To investigate the diagnostic and prognostic characteristics of biomarkers in cerebrospinal fluid (CSF), plasma, and skeletal muscle tissue in patients with ALS.Paper I: Neurofilament light chain (NFL) and phosphorylated neurofilament heavy chain (pNFH) were analyzed in CSF using enzyme-linked immunosorbent assay (ELISA), and NFL in plasma was analyzed using single-molecule array (SIMOA). CSF NFL, CSF pNFH, and plasma NFL concentrations can differentiate ALS patients from ALS mimics, and were significantly negatively correlated with the disease duration in ALS patients.Paper II: Myosin heavy chain (MyHC) isoforms in extraocular muscles were investigated using immunofluorescence. Control donors had significantly higher proportion of myofibers containing MyHCIIa and significantly lower proportion of myofibers containing MyHCeom in the global layer compared to spinal-onset ALS and bulbar-onset ALS donors. Disease duration in the spinal-onset ALS donors was significantly correlated with the proportion of myofibers containing MyHCIIa in the global layer and MyHCeom in the orbital layer.Paper III: The study combined the neurofilament concentrations from Paper I, with cytokines previously analyzed in CSF and plasma using SIMOA, to investigate distinct molecular phenotypes in ALS. Patients with bulbar-onset ALS had significantly higher concentrations of CSF tumor necrosis factor α (TNF-α) compared to ALS mimics. TNF-α and NFL were significantly correlated with each other in both CSF and plasma in ALS patients. Combined analysis of NFL and IL-6 in plasma identified molecular prognostic subgroups in ALS patients.Paper IV: Creatine kinase (CK), high-sensitivity cardiac troponin T (hs-cTnT), hs-cTnI, and cystatin C (CysC) were analyzed in plasma in a fully accredited laboratory. CK and hs-cTnT concentrations were significantly elevated in limb-onset ALS compared to controls and bulbar-onset ALS. hs-cTnT concentrations were significantly elevated in truncal-onset ALS compared to controls and bulbar-onset ALS. Multivariable Cox proportional hazards models indicated elevated concentrations of CysC as a significant marker for worse prognosis in ALS.Conclusions: The papers report diagnostic and prognostic characteristics of biomarkers in CSF, plasma, and muscle tissue in ALS patients. The significant findings for biomarkers in plasma could be of value since plasma sampling does not involve a lumbar puncture.
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| 5. |
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| 6. |
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| 7. |
- Behzadi, Arvin, et al.
(författare)
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Neurofilaments can differentiate ALS subgroups and ALS from common diagnostic mimics.
- 2021
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Ingår i: Scientific reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 11:1
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Tidskriftsartikel (refereegranskat)abstract
- Delayed diagnosis and misdiagnosis are frequent in people with amyotrophic lateral sclerosis (ALS), the most common form of motor neuron disease (MND). Neurofilament light chain (NFL) and phosphorylated neurofilament heavy chain (pNFH) are elevated in ALS patients. We retrospectively quantified cerebrospinal fluid (CSF) NFL, CSF pNFH and plasma NFL in stored samples that were collected at the diagnostic work-up of ALS patients (n = 234), ALS mimics (n = 44) and controls (n = 9). We assessed the diagnostic performance, prognostication value and relationship to the site of onset and genotype. CSF NFL, CSF pNFH and plasma NFL levels were significantly increased in ALS patients compared to patients with neuropathies & myelopathies, patients with myopathies and controls. Furthermore, CSF pNFH and plasma NFL levels were significantly higher in ALS patients than in patients with other MNDs. Bulbar onset ALS patients had significantly higher plasma NFL levels than spinal onset ALS patients. ALS patients with C9orf72HRE mutations had significantly higher plasma NFL levels than patients with SOD1 mutations. Survival was negatively correlated with all three biomarkers. Receiver operating characteristics showed the highest area under the curve for CSF pNFH for differentiating ALS from ALS mimics and for plasma NFL for estimating ALS short and long survival. All three biomarkers have diagnostic value in differentiating ALS from clinically relevant ALS mimics. Plasma NFL levels can be used to differentiate between clinical and genetic ALS subgroups.
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| 8. |
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| 9. |
- Jonsson, Pär, et al.
(författare)
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Constrained randomization and multivariate effect projections improve information extraction and biomarker pattern discovery in metabolomics studies involving dependent samples
- 2015
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Ingår i: Metabolomics. - : Springer. - 1573-3882 .- 1573-3890. ; 11:6, s. 1667-1678
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Tidskriftsartikel (refereegranskat)abstract
- Analytical drift is a major source of bias in mass spectrometry based metabolomics confounding interpretation and biomarker detection. So far, standard protocols for sample and data analysis have not been able to fully resolve this. We present a combined approach for minimizing the influence of analytical drift on multivariate comparisons of matched or dependent samples in mass spectrometry based metabolomics studies. The approach is building on a randomization procedure for sample run order, constrained to independent randomizations between and within dependent sample pairs (e.g. pre/post intervention). This is followed by a novel multivariate statistical analysis strategy allowing paired or dependent analyses of individual effects named OPLS-effect projections (OPLS-EP). We show, using simulated data that OPLS-EP gives improved interpretation over existing methods and that constrained randomization of sample run order in combination with an appropriate dependent statistical test increase the accuracy and sensitivity and decrease the false omission rate in biomarker detection. We verify these findings and prove the strength of the suggested approach in a clinical data set consisting of LC/MS data of blood plasma samples from patients before and after radical prostatectomy. Here OPLS-EP compared to traditional (independent) OPLS-discriminant analysis (OPLS-DA) on constrained randomized data gives a less complex model (3 versus 5 components) as well a higher predictive ability (Q2 = 0.80 versus Q2 = 0.55). We explain this by showing that paired statistical analysis detects 37 unique significant metabolites that were masked for the independent test due to bias, including analytical drift and inter-individual variation.
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| 10. |
- Jonsson, Pär, et al.
(författare)
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Predictive metabolite profiling applying hierarchical multivariate curve resolution to GC-MS data : a potential tool for multi-parametric diagnosis
- 2006
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Ingår i: Journal of Proteome Research. - : American Chemical Society. - 1535-3893 .- 1535-3907. ; 5:6, s. 1407-1414
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Tidskriftsartikel (refereegranskat)abstract
- A method for predictive metabolite profiling based on resolution of GC-MS data followed by multivariate data analysis is presented and applied to three different biofluid data sets (rat urine, aspen leaf extracts, and human blood plasma). Hierarchical multivariate curve resolution (H-MCR) was used to simultaneously resolve the GC-MS data into pure profiles, describing the relative metabolite concentrations between samples, for multivariate analysis. Here, we present an extension of the H-MCR method allowing treatment of independent samples according to processing parameters estimated from a set of training samples. Predictions or inclusion of the new samples, based on their metabolite profiles, into an existing model could then be carried out, which is a requirement for a working application within, e.g., clinical diagnosis. Apart from allowing treatment and prediction of independent samples the proposed method also reduces the time for the curve resolution process since only a subset of representative samples have to be processed while the remaining samples can be treated according to the obtained processing parameters. The time required for resolving the 30 training samples in the rat urine example was approximately 13 h, while the treatment of the 30 test samples according to the training parameters required only approximately 30 s per sample (approximately 15 min in total). In addition, the presented results show that the suggested approach works for describing metabolic changes in different biofluids, indicating that this is a general approach for high-throughput predictive metabolite profiling, which could have important applications in areas such as plant functional genomics, drug toxicity, treatment efficacy and early disease diagnosis.
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