Abstract
The only specific marker of sporadic amyotrophic lateral sclerosis (ALS) is neuropathologic, namely the presence of inclusions staining positively for ubiquitin and TAR DNA-binding protein (TARDBP, also known as TDP-43) in degenerating motor neurons. Abnormalities in various physiopathologic pathways associated with ALS, such as oxidative stress, inflammation, and excitotoxicity, have been reported in blood, cerebrospinal fluid, and muscle biopsies. A number of studies in ALS patients have indicated that nuclear magnetic resonance (NMR) spectroscopy and diffusion tensor magnetic resonance imaging (MRI) can detect corticospinal lesions. However, because of their relative lack of sensitivity and specificity, these techniques are currently inadequate for use as diagnostic tools in individual patients. Recently, there has been much interest in the use of high-throughput techniques such as transcriptomics, proteomics, and metabolomics for the detection of biomarkers. In the future, a combination of biologic, radiologic, and electrophysiologic markers, rather than a single marker, may prove a useful tool for the diagnosis and follow-up of ALS patients. This article provides an overview of recently described biologic and radiologic markers of the disease.
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by the combined degeneration of central motor neurons, whose cell bodies are located in the motor cortex and give rise to the pyramidal tract, and peripheral motor neurons, whose cell bodies are located in the spinal cord and brainstem.[1–4] The only marker specific for sporadic forms of ALS is neuropathologic, namely the presence in degenerating motor neurons of inclusions staining positively for ubiquitin and, as has been demonstrated recently, for the TAR DNA binding protein (TARDBP, also known as TDP-43).[5] In the absence of a specific marker, diagnosis of ALS in clinical practice is based on medical history, clinical examination, electromyography, and exclusion of alternative differential diagnoses.[6] There is therefore a lot of interest in finding a specific marker for ALS, both for diagnostic purposes and for monitoring disease progression. This article evaluates recently described biologic and radiologic markers of the disease. Electrophysiologic markers of ALS in general, and quantification of motor units in particular, are not discussed. We refer the reader to previous reviews of this specific topic, and particularly to a recent review highlighting the usefulness of new consensus electrophysiologic criteria (the ‘Awaji criteria’).[7]
Relevant citations were identified through PubMed up to October 2008. We also used personal collections of references and reference lists of articles. There were no constraints based on language or publication status.
1. Significance of Markers in Amyotrophic Lateral Sclerosis (ALS)
The phenotypic expression of ALS is heterogeneous, including topographically restricted forms, slowly or rapidly evolving forms, forms associated with temporo-frontal dementia, and sporadic and familial forms. From a physiopathologic point of view, this raises the question of whether ALS is a single disease entity or a syndrome of different clinical entities arising from distinct biologic mechanisms. One way to answer this question is to determine whether the different forms of the disease present common or distinct markers. One example is the recent demonstration that TARDBP-positive motor neuron inclusions, which are characteristic of sporadic forms of ALS, are not found in genetic forms linked to the superoxide dismutase (SOD1) gene, thereby suggesting that familial and sporadic forms may not share the same pathogenetic pathway.[8] Another example concerns forms of ALS encountered on islands in the Western Pacific. It is now well documented that the histopathologic hallmark of these forms is neuronal accumulation of neurofilaments comprised of tau protein, as seen in Alzheimer’s disease.[9] This suggests that these particular forms of ALS should be included in the group of tauopathies and therefore represent a category of motor neuron disease that is distinct from classical ALS.
From a clinical perspective, biomarkers would be extremely useful for diagnosis and monitoring of the disease. Diagnosis of ALS is often difficult because of the phenotypic heterogeneity of the disease and conditions mimicking ALS that represent about 7% in population-based studies.[10] Clinical studies[10,11] and some review articles[12,13] have drawn attention to the limitations of current diagnostic criteria (the ‘El Escorial criteria’)[1] as a way of identifying different forms of disease. These difficulties may explain, at least in part, the frequent delay in diagnosis.[14,15] The median delay between the appearance of the first symptoms and diagnosis of ALS is between 8 and 11 months.[15–17] This diagnostic delay is detrimental to the management of the disease and precludes early initiation of neuroprotective treatment aimed at preserving surviving neurons.[18] Because of the extreme variability in the clinical course of the disease in terms of both functional degradation and survival, which has been described in many natural history studies and therapeutic trials, it is impossible in practice to establish a vital or functional prognosis for an individual patient. Life expectancy is extremely variable, ranging from 6 months to more than 20 years after the appearance of the first signs of the disease. This variability contributes to the difficulty in identifying variables that may predict the course of the disease and indeed, in studies performed to date, no clinical marker has demonstrated a predictive power of at least 80%.[19]
As far as therapeutic trials are concerned, the absence of disease markers has two principal negative consequences. First, the phenotypic heterogeneity of the disease limits the inclusion of patients in therapeutic trials.[14,15,17] In particular, the absence of clinical signs of upper motor neuron degeneration is an obstacle to including patients in clinical trials; this requires patients to fulfil the revised El Escorial criteria.[17] On the other hand, this variability makes it necessary to include a large number of patients in a trial in order to achieve sufficient statistical power to demonstrate a clinical effect of disease-modifying treatments, particularly on survival. The need to set up large and expensive trials thus limits the number of molecules that can be evaluated in humans at any one time. This problem highlights the interest of finding and using surrogate markers of disease activity, as has proved useful in other neurologic diseases.
2. Biologic Markers of ALS
2.1 Markers in Blood and Cerebrospinal Fluid
To date, the only known specific biologic markers of ALS are the causal mutations identified in familial forms of the disease. Familial cases of ALS represent around 10–20% of patients.[20] The causal gene is known in only a minority of cases and most often corresponds to the gene encoding superoxide dismutase type 1 (SOD1), which is responsible for around 10–20% of familial forms. Mutations in the SOD1 gene can be considered as a genetic marker of ALS and not as a polymorphism, where it has been demonstrated that the mutation is pathogenic or co-segregates with disease within a family.[21] Other genes have been associated with rare familial forms of ALS (table I). Recently, mutations in the gene coding for the protein TARDBP[22] and the protein FUS/TLS (fused in sarcoma/translocated in liposarcoma)[23,24] have been identified in familial and sporadic cases. An increased risk of sporadic ALS has been associated with a number of other genes such as SMN1 (survival of motor neuron 1, telomeric), ANG (angiogenin), HFE (hemochromatosis) and PON1/2 (paraoxonase).[25]
Various biologic changes have been described in the blood or cerebrospinal fluid (CSF) of ALS patients (table II). Several studies have demonstrated anomalies in various physiologic pathways implicated in ALS, such as oxidative stress (for example, increase in 4-hydroxy-2,3-nonenal levels),[26] trophic factors (increase in transforming growth factor-β1),[27] excitotoxicity (increase in glutamate),[28] or inflammation (increase in monocyte chemoattractant protein-1).[26,29] Interpretation of these findings should take sufficient account of the methodologic limitations of many of these studies, which have involved small numbers of patients with poorly defined control populations. Furthermore, many of these changes have been published by a single group and have not been replicated independently. In all cases, even where the studies are methodologically robust, the biologic anomalies observed cannot be considered to be sensitive and specific markers of the disease. A correlation with the clinical severity of ALS has only been demonstrated in a minority of cases, such as with serum levels of certain markers of oxidative stress, inflammation or glutamate (tables II and III).
2.2 Muscular Markers
Another approach to the identification of biomarkers in ALS is based on the demonstration of muscular abnormalities. Recent arguments suggest that destabilization of the neuromuscular junction is an early event in the disease, with degeneration of motor neurons occurring in a retrograde fashion (‘dying back’).[53–55] Signals originating in the muscles seem to be involved in this process, and there has been particular interest in the expression of neurite outgrowth inhibitor (Nogo-A; also known as reticulon 4 [RTN4]) in muscles. This protein is an inhibitor of axonal growth, which is expressed by oligodendrocytes and is not normally detected in muscles. In one study, ectopic expression of Nogo-A in muscles was observed in patients with ALS but not in patients with myopathy or peripheral neuropathy.[56] Recently, Nogo-A has received attention as an early diagnostic marker of ALS in patients who present with isolated lower motor neuron lesions.[57] The presence of Nogo-A in muscular biopsy specimens was predictive of an evolution towards typical ALS, with a positive predictive value of 88% and a negative predictive value of 94%.[57] Furthermore, a correlation was also observed between the level of muscular Nogo-A and functional state,[58] suggesting that this protein could also act as a marker of disease progression (figure 1). Nonetheless, the specificity of Nogo-A as a biomarker for ALS has not been demonstrated unequivocally. Nogo-A has been detected in muscle biopsies from patients with myopathies or peripheral neuropathies in one study[60] but not in biopsies from patients with inclusion-body myositis in another.[61] Technical considerations (biopsy protocols, protein extraction, and the source and specificity of antibodies) may explain such discrepancies.[62] Further studies are necessary to determine the role of Nogo-A as a diagnostic marker in ALS.
2.3 Contribution of High-Throughput Techniques
Although data about the contribution of high-throughput techniques for the discovery of useful biomarkers in ALS are still scarce, this approach offers considerable potential. Using a mass spectrometry proteomics technique, Pasinetti et al.[63] detected anomalies in three protein species (4.8, 6.7, and 13.4 kDa), which enabled a correct diagnosis of ALS to be made with 91 % sensitivity and 97% specificity. Protein sequence analysis identified the 13.4 kDa protein species as cystatin C and the 4.8 kDa protein species as a peptide fragment of the neurosecretory protein VGF. However, these results are yet to be confirmed, and comparisons with other neurologic pathologies, in particular those that can mimic ALS, are necessary. Analysis of the muscular transcriptome carried out in a murine model of ALS[64] also paves the way to the identification of new muscular markers in humans.
3. Radiologic Markers
There has been much interest in radiologic markers of ALS because of the difficulties in observing clinical signs of central motor neuron damage. Clinical upper motor neuron signs are initially absent in 7–10% of cases of ALS.[15,17] Furthermore, the risk of a diagnostic delay of >18 months is increased in patients who present with isolated lower motor neuron signs.[15] These forms pose problems in the differential diagnosis between ALS and other lower motor neuron pathologies such as spinal muscular atrophies or multifocal neuropathies with conduction blocks. The evolution of the disease is suggestive of a diagnosis of ALS when central signs appear; however, this is not the case in all patients, notably because the severity of peripheral signs can mask central signs.
3.1 Conventional Magnetic Resonance Imaging
Conventional cerebral and brainstem magnetic resonance imaging (MRI) has an important place in the differential diagnosis of ALS.[65] Signs indicating degeneration of the pyramidal tract can sometimes be identified. These may consist of cortical atrophy, which is predominant in the frontal region, or a characteristic T2 or fluid-attenuated inversion recovery (FLAIR) hyposignal at the level of the primary motor cortex.[66,67] Numerous MRI studies, using various techniques (inversion-recuperation; magnetic transfer; diffusion imaging, or T1-, T2-, or fast-spin echo proton density-weighted MRI), have identified a focal hypersignal in the white matter along the corticospinal tract, from the centrum semiovale to the brainstem (figure 2).[67–78] However, these anomalies are inconsistent and are not readily quantifiable. Furthermore, no clear association between the speed of progression or the stage of the disease and the presence of this hypersignal has been demonstrated.[79,80]
3.2 Nuclear Magnetic Resonance Spectroscopy
NMR spectroscopy is an attractive method because it allows measurement of the neurochemical profile of a particular region of the brain in vivo. The main peak is N-acetylaspartate (NAA), which is a marker of neuronal integrity. Several studies have demonstrated a decrease in NAA[81,82] and/or ratios of NAA with choline-containing compounds (Cho) and creatine (Cr) [NAA/Cho and NAA/Cr ratios] at the level of the motor cortex of patients with ALS.[81,83] With regard to the diagnosis of ALS mimic syndromes and to the delineation of phenotypes, two small series showed that NMR spectroscopy may distinguish patients with ALS from patients with progressive muscular atrophy.[84,85] However, the diagnostic value of this test is poor because of the considerable overlap between values in healthy subjects and those in ALS patients. The combined measurement of the NAA peak and a marker of astrocyte gliosis, namely myo-inositol, has been proposed, but this is not sufficiently reliable to be used as a diagnostic tool.[86]
3.3 Diffusion Tensor Imaging
3.3.1 Principle
Diffusion tensor imaging (DTI) is a promising technique to evaluate the degeneration of white-matter fiber bundles. Diffusion is a process that results from the random movement of molecules in vivo (Brownian motion). It is characterized by its speed and by its direction, which depends on the structure of the brain tissue. Diffusion of water in the CSF is isotropic (identical in all directions), whereas in brain tissue it occurs preferentially along the axis of orientation of the white-matter fiber bundles (figure 3). The application of diffusion gradients in several directions in MRI results in a diffusion tensor image. A map of the apparent coefficient of diffusion and an anisotropy map can thus be created, which provides useful information about the microstructural organization of the source tissue.
3.3.2 Abnormalities in ALS
Many studies have demonstrated an increase in the coefficient of diffusion (mean diffusivity) and particularly a decrease in fractional anisotropy (FA) in different areas of the intracranial portion of the corticospinal tract (subcortical white matter, internal capsule, and brainstem).[69,80,87–93] One study has also revealed a significant decrease in mean FA at the level of the cervical spinal cord.[80] In one study, abnormalities were also observed in patients who had no clinical signs of upper motor neuron involvement at the time of MRI investigation but developed pyramidal tract symptoms later in the course of their disease.[87] Thus the authors suggested that tensor MRI can be used to assess upper motor neuron involvement in ALS patients before clinical symptoms of corticospinal tract lesions become apparent, and that it may therefore contribute to earlier diagnosis of motor neuron disease. The use of tractography methods in association with DTI, which enables reconstruction of the three-dimensional geometry of the pyramidal tract, appears promising.[94,95] This type of approach makes it possible to establish an FA profile along the pyramidal tract.[95] Furthermore, by using a voxel-by-voxel approach, which consists of comparing groups of patients without an a priori predefined region of interest, it has been demonstrated that the anomalies on DTI exist outside the primary motor regions, thereby confirming that ALS is a multisystem degenerative disorder (figure 4).[89] This diffusion of lesions has also been observed using other neuroradiologic techniques such as voxel-by-voxel morphometry (VBM).[96]
The diagnostic value of DTI remains limited because of overlap between the values measured in ALS patients and those in control subjects. In one study, measurement of FA in the internal capsule to detect central motor neuron lesions compared with healthy subjects had a sensitivity of 95%, but the specificity was only 71%, with a positive predictive value of 82%.[78]
3.4 Nuclear Imaging Techniques
Positron emission tomography (PET) and monophotonic emission tomography (single photon emission computerized tomography [SPECT]) are nuclear imaging techniques, which use various tracers to either reveal neuron dysfunction or loss directly, or are associated with a pathogenic mechanism involved in the disease. In SPECT, after injection of hexamethylpropyleneamine oxime labelled with technetium-99m (99mTc), several studies have demonstrated a decrease in cerebral blood flow, reflecting variations in underlying neuronal activity in the primary motor cortex of ALS patients,[97–100] which can also extend in an anterior fashion into the frontal lobes, particularly in patients with associated cognitive problems (figure 5).[101] In PET with 2-fluoro-2-deoxy-glucose, a variable decrease in cerebral glucose metabolism at rest has also been observed in ALS.[102,103] Recently, one PET study using a specific marker for serotonin (5-HT)1A receptors has identified a global cortical decrease in fixation of the marker, predominantly in the frontal and temporal lobes.[104] Complementary studies are, however, necessary to determine the role of this technique in detecting cortical lesions in these patients. Microglial activation is known to be involved in the physiopathology of ALS, and another study using a ligand expressed by activated microglia has detected microglial activation in the motor cortex, as well as the thalamus, protuberance and prefrontal dorsolateral cortex of ALS patients.[105] This tool could be useful for measuring the effect of treatment targeting inflammation in ALS.
3.5 Functional Imaging Techniques
Functional PET and MRI (fMRI) imaging techniques are research tools that can be used to study cortical reorganization. Regional modifications in cerebral blood flow have been studied during hand motor tasks.[106,107] Interestingly, some studies have demonstrated that cerebral activation involved more extensive cortical regions than in control subjects and also involved the controlateral cortex. This phenomenon is interpreted as a functional compensation mechanism for motor cortical lesions in ALS.
3.6 Radiologic Markers of Disease Progression
Several studies have provided consistent evidence for correlations between clinical variables reflecting the severity of the disease, and radiologic markers such as the NAA peak in spectroscopy[90] or the extent of FA measured by DTI.[88,89] In contrast, there have been few longitudinal studies, and those that have been undertaken have often provided contradictory findings. Some studies have demonstrated a decrease in spectroscopy[108] and DTI[88] parameters over time, but this has not been confirmed in other studies where no significant modifications were observed.[90,93] These discrepancies could, at least in part, be accounted for by the heterogeneity of the patient populations studied, notably with respect to the clinical stage of the disease. It has been suggested that these techniques may only detect temporal modifications at an early stage of the disease.[90,93]
4. Conclusion
It is important to consider the future of biologic and radiologic markers in the diagnosis and evaluation of ALS. The sensitivity and specificity of these markers, which are currently insufficient to be used as reliable diagnostic tools, could be improved by technologic advances. These advances concern both radiologic markers — for example, the development of high-field MRI or tractography techniques — and biologic markers such as high-throughput techniques. In the future, it is likely that the combined use of several markers will provide a suitable diagnostic tool for use in clinical practice, associating biologic, radiologic, and electrophysiologic parameters.[90] Furthermore, a combination of biomarkers may be of value for monitoring disease progression and as surrogate endpoint markers in clinical trials testing disease-modifying drugs.
References
Brooks BR, Miller RG, Swash M, et al. El Escorial revisited: revised criteria for the diagnosis of amyotrophic lateral sclerosis. Amyotroph Lateral Scler Other Motor Neuron Disord 2000; 1: 293–9
Pradat PF, Bruneteau G. Quels sont les critères cliniques de la sclérose latérale amyotrophique en fonction des formes cliniques? Rev Neurol (Paris) 2006; 162(2): 4S29–33
Rowland LP, Shneider NA. Amyotrophic lateral sclerosis. N Engl J Med 2001; 344: 1688–700
Swash M. Clinical features and diagnosis of amyotrophic lateral sclerosis. In: Brown Jr RH, Meininger V, Swash M, editors. Amyotrophic lateral sclerosis. London: Martin Dunitz, 2000: 3–30
Forman MS, Trojanowski JQ, Lee VM. TDP-43: a novel neurodegenerative proteinopathy. Curr Opin Neurobiol 2007; 17: 548–55
Pradat PF, Bruneteau G. Quels sont les signes cliniques, classiques et inhabituels, devant faire évoquer une sclérose latérale amyotrophique? Rev Neurol (Paris) 2006; 162(2): 4S17–24
de Carvalho M, Dengler R, Eisen A, et al. Electrodiagnostic criteria for diagnosis of ALS. Clin Neurophysiol 2008; 119: 497–503
Mackenzie IR, Bigio EH, Ince PG, et al. Pathological TDP-43 distinguishes sporadic amyotrophic lateral sclerosis from amyotrophic lateral sclerosis with SOD1 mutations. Ann Neurol 2007; 61: 427–34
Shankar SK, Yanagihara R, Garruto RM, et al. Immunocytochemical characterization of neurofibrillary tangles in amyotrophic lateral sclerosis and parkinsonism-dementia of Guam. Ann Neurol 1989; 25: 146–51
Traynor BJ, Codd MB, Corr B, et al. Amyotrophic lateral sclerosis mimic syndromes: a population-based study. Arch Neurol 2000; 57: 109–13
Beghi E, Millul A, Micheli A, et al. Incidence of ALS in Lombardy, Italy. Neurology 2007; 68: 141–5
Beghi E, Mennini T, Bendotti C, et al. The heterogeneity of amyotrophic lateral sclerosis: a possible explanation of treatment failure. Curr Med Chem 2007; 14: 3185–200
Logroscino G, Traynor BJ, Hardiman O, et al. Descriptive epidemiology of amyotrophic lateral sclerosis: new evidence and unsolved issues. J Neurol Neurosurg Psychiatry 2008; 79: 6–11
Iwasaki Y, Ikeda K, Ichikawa Y, et al. The diagnostic interval in amyotrophic lateral sclerosis. Clin Neurol Neurosurg 2002; 104: 87–9
Zoccolella S, Beghi E, Palagano G, et al. Predictors of delay in the diagnosis and clinical trial entry of amyotrophic lateral sclerosis patients: a population-based study. J Neurol Sci 2006; 250: 45–9
Chio A, Mora G, Leone M, et al. Early symptom progression rate is related to ALS outcome: a prospective population-based study. Neurology 2002; 59: 99–103
Traynor BJ, Codd MB, Corr B, et al. Clinical features of amyotrophic lateral sclerosis according to the El Escorial and Airlie House diagnostic criteria: a population-based study. Arch Neurol 2000; 57: 1171–6
Riviere M, Meininger V, Zeisser P, et al. An analysis of extended survival in patients with amyotrophic lateral sclerosis treated with riluzole. Arch Neurol 1998; 55: 526–8
Paillisse C, Lacomblez L, Dib M, et al. Prognostic factors for survival in amyotrophic lateral sclerosis patients treated with riluzole. Amyotroph Lateral Scler Other Motor Neuron Disord 2005; 6: 37–44
Kunst CB. Complex genetics of amyotrophic lateral sclerosis. Am J Hum Genet 2004; 75: 933–47
Camu W. Sclerose latérale amyotrophique: des formes monogéniques aux formes multigéniques. Neurologies 2003; 6: 517–20
Kabashi E, Valdmanis PN, Dion P, et al. TARDBP mutations in individuals with sporadic and familial amyotrophic lateral sclerosis. Nat Genet 2008; 40: 572–4
Kwiatkowski Jr TJ, Bosco DA, Leclerc AL, et al. Mutations in the FUS/TLS gene on chromosome 16 cause familial amyotrophic lateral sclerosis. Science 2009; 323: 1205–8
Vance C, Rogelj B, Hortobagyi T, et al. Mutations in FUS, an RNA processing protein, cause familial amyotrophic lateral sclerosis type 6. Science 2009; 323: 1208–11
Schymick JC, Talbot K, Traynor BJ. Genetics of sporadic amyotrophic lateral sclerosis. Hum Mol Genet 2007; 16(2): R233–42
Simpson EP, Henry YK, Henkel JS, et al. Increased lipid peroxidation in sera of ALS patients: a potential biomarker of disease burden. Neurology 2004; 62: 1758–65
Ilzecka J, Stelmasiak Z, Dobosz B. Transforming growth factor-beta 1 (tgf-beta 1) in patients with amyotrophic lateral sclerosis. Cytokine 2002; 20: 239–43
Spreux-Varoquaux O, Bensimon G, Lacomblez L, et al. Glutamate levels in cerebrospinal fluid in amyotrophic lateral sclerosis: a reappraisal using a new HPLC method with coulometric detection in a large cohort of patients. J Neurol Sci 2002; 193: 73–8
Baron P, Bussini S, Cardin V, et al. Production of monocyte chemoattractant protein-1 in amyotrophic lateral sclerosis. Muscle Nerve 2005; 32: 541–4
Kuzma M, Jamrozik Z, Baranczyk-Kuzma A. Activity and expression of glutathione S-transferase pi in patients with amyotrophic lateral sclerosis. Clin Chim Acta 2006; 364: 217–21
Ihara Y, Nobukuni K, Takata H, et al. Oxidative stress and metal content in blood and cerebrospinal fluid of amyotrophic lateral sclerosis patients with and without a Cu, Zn-superoxide dismutase mutation. Neurol Res 2005; 27: 105–8
Sohmiya M, Tanaka M, Suzuki Y, et al. An increase of oxidized coenzyme Q-10 occurs in the plasma of sporadic ALS patients. J Neurol Sci 2005; 228: 49–53
Ferri A, Nencini M, Battistini S, et al. Activity of protein phosphatase calcineurin is decreased in sporadic and familial amyotrophic lateral sclerosis patients. J Neurochem 2004; 90: 1237–42
Ilzecka J, Stelmasiak Z. Serum bilirubin concentration in patients with amyotrophic lateral sclerosis. Clin Neurol Neurosurg 2003; 105: 237–40
Nygren I, Larsson A, Johansson A, et al. VEGF is increased in serum but not in spinal cord from patients with amyotrophic lateral sclerosis. Neuroreport 2002; 13: 2199–201
Houi K, Kobayashi T, Kato S, et al. Increased plasma TGF-beta1 in patients with amyotrophic lateral sclerosis. Acta Neurol Scand 2002; 106: 299–301
Ilzecka J. Decreased serum endoglin level in patients with amyotrophic lateral sclerosis: a preliminary report. Scand J Clin Lab Invest 2008; 68: 348–51
Ilzecka J. Increased serum CNTF level in patients with amyotrophic lateral sclerosis. Eur Cytokine Netw 2003; 14: 192–4
Ilzecka J. Decreased serum-soluble TRAIL levels in patients with amyotrophic lateral sclerosis. Acta Neurol Scand 2008; 117: 343–6
Ilzecka J. Prostaglandin E2 is increased in amyotrophic lateral sclerosis patients. Acta Neurol Scand 2003; 108: 125–9
Demestre M, Parkin-Smith G, Petzold A, et al. The pro and the active form of matrix metalloproteinase-9 is increased in serum of patients with amyotrophic lateral sclerosis. J Neuroimmunol 2005; 159: 146–54
Dupuis L, Corcia P, Fergani A, et al. Dyslipidemia is a protective factor in amyotrophic lateral sclerosis. Neurology 2008; 70: 1004–9
Steele AJ, al Chalabi A, Ferrante K, et al. Detection of serum reverse transcriptase activity in patients with ALS and unaffected blood relatives. Neurology 2005; 64: 454–8
Lacomblez L, Doppler V, Beucler I, et al. APOE: a potential marker of disease progression in ALS. Neurology 2002; 58: 1112–4
Boll MC, Alcaraz-Zubeldia M, Montes S, et al. Raised nitrate concentration and low SOD activity in the CSF of sporadic ALS patients. Neurochem Res 2003; 28: 699–703
Kaufmann E, Boehm BO, Sussmuth SD, et al. The advanced glycation end-product N epsilon-(carboxymethyl)lysine level is elevated in cerebrospinal fluid of patients with amyotrophic lateral sclerosis. Neurosci Lett 2004; 371: 226–9
Kuncl RW, Bilak MM, Bilak SR, et al. Pigment epithelium-derived factor is elevated in CSF of patients with amyotrophic lateral sclerosis. J Neurochem 2002; 81: 178–84
Devos D, Moreau C, Lassalle P, et al. Low levels of the vascular endothelial growth factor in CSF from early ALS patients. Neurology 2004; 62: 2127–9
Ilzecka J. Cerebrospinal fluid vascular endothelial growth factor in patients with amyotrophic lateral sclerosis. Clin Neurol Neurosurg 2004; 106: 289–93
Ilzecka J. Cerebrospinal fluid Flt3 ligand level in patients with amyotrophic lateral sclerosis. Acta Neurol Scand 2006; 114: 205–9
Tanaka M, Kikuchi H, Ishizu T, et al. Intrathecal upregulation of granulocyte colony stimulating factor and its neuroprotective actions on motor neurons in amyotrophic lateral sclerosis. J Neuropathol Exp Neurol 2006; 65: 816–25
Ilecka J. Decreased cerebrospinal fluid cGMP levels in patients with amyotrophic lateral sclerosis. J Neural Transm 2004; 111: 167–72
Fischer LR, Culver DG, Tennant P, et al. Amyotrophic lateral sclerosis is a distal axonopathy: evidence in mice and man. Exp Neurol 2004; 185: 232–40
Jokic N, Gonzalez de Aguilar JL, Dimou L, et al. The neurite outgrowth inhibitor Nogo-A promotes denervation in an amyotrophic lateral sclerosis model. EMBO Rep 2006; 7: 1162–7
Rouaux C, Panteleeva I, Rene F, et al. Sodium valproate exerts neuroprotective effects in vivo through CREB-binding protein-dependent mechanisms but does not improve survival in an amyotrophic lateral sclerosis mouse model. J Neurosci 2007; 27: 5535–45
Dupuis L, Gonzalez de Aguilar JL, Di Scala F, et al. Nogo provides a molecular marker for diagnosis of amyotrophic lateral sclerosis. Neurobiol Dis 2002; 10: 358–65
Pradat PF, Bruneteau G, Gonzalez de Aguilar JL, et al. Muscle Nogo-A expression is a prognostic marker in lower motor neuron syndromes. Ann Neurol 2007; 62: 15–20
Jokic N, Gonzalez de Aguilar JL, Pradat PF, et al. Nogo expression in muscle correlates with amyotrophic lateral sclerosis severity. Ann Neurol 2005; 57: 553–6
Cedarbaum JM, Stambler N, Malta E, et al. The ALSFRS-R: a revised ALS functional rating scale that incorporates assessments of respiratory function. BDNF ALS Study Group (Phase III). J Neurol Sci 1999; 169: 13–21
Wojcik S, Engel WK, Askanas V. Increased expression of Noga-A in ALS muscle biopsies is not unique for this disease. Acta Myol 2006; 25: 116–8
Wojcik S, Engel WK, Yan R, et al. NOGO is increased and binds to BACE1 in sporadic inclusion-body myositis and in AbetaPP-overexpressing cultured human muscle fibers. Acta Neuropathol 2007; 114: 517–26
Pradat PF, Gonzalez de Aguilar JL, Bruneteau G, et al. Specificity for amyotrophic lateral sclerosis of Nogo-A muscle expression [author reply]. Ann Neurol 2008; 62: 676–7
Pasinetti GM, Ungar LH, Lange DJ, et al. Identification of potential CSF biomarkers in ALS. Neurology 2006; 66: 1218–22
Gonzalez de Aguilar JL, Niederhauser-Wiederkehr C, Halter B, et al. Gene profiling of skeletal muscle in an amyotrophic lateral sclerosis mouse model. Physiol Genomics 2008; 32: 207–18
Pradat PF, Bruneteau G. Quels sont les diagnostics différentiels et les formes frontières de SLA? Rev Neurol (Paris) 2006; 162(2): 4S81–90
Oba H, Araki T, Ohtomo K, et al. Amyotrophic lateral sclerosis: T2 shortening in motor cortex at MR imaging. Radiology 1993; 189: 843–6
Cheung G, Gawel MJ, Cooper PW, et al. Amyotrophic lateral sclerosis: correlation of clinical and MR imaging findings. Radiology 1995; 194: 263–70
Comi G, Rovaris M, Leocani L. Review neuroimaging in amyotrophic lateral sclerosis. Eur J Neurol 1999; 6: 629–37
Ellis CM, Simmons A, Jones DK, et al. Diffusion tensor MRI assesses corticospinal tract damage in ALS. Neurology 1999; 53: 1051–8
Goodin DS, Rowley HA, Olney RK. Magnetic resonance imaging in amyotrophic lateral sclerosis. Ann Neurol 1988; 23: 418–20
Hecht MJ, Fellner F, Fellner C, et al. MRI-FLAIR images of the head show corticospinal tract alterations in ALS patients more frequently than T2-, T1-and proton-density-weighted images. J Neurol Sci 2001; 186: 37–44
Hofmann E, Ochs G, Pelzl A, et al. The corticospinal tract in amyotrophic lateral sclerosis: an MRI study. Neuroradiology 1998; 40: 71–5
Kato Y, Matsumura K, Kinosada Y, et al. Detection of pyramidal tract lesions in amyotrophic lateral sclerosis with magnetization-transfer measurements. AJNR Am J Neuroradiol 1997; 18: 1541–7
Mirowitz S, Sartor K, Gado M, et al. Focal signal-intensity variations in the posterior internal capsule: normal MR findings and distinction from pathologic findings. Radiology 1989; 172: 535–9
Tanabe JL, Vermathen M, Miller R, et al. Reduced MTR in the corticospinal tract and normal T2 in amyotrophic lateral sclerosis. Magn Reson Imaging 1998; 16: 1163–9
Thorpe JW, Moseley IF, Hawkes CH, et al. Brain and spinal cord MRI in motor neuron disease. J Neurol Neurosurg Psychiatry 1996; 61: 314–7
Waragai M. MRI and clinical features in amyotrophic lateral sclerosis. Neuroradiology 1997; 39: 847–51
Graham JM, Papadakis N, Evans J, et al. Diffusion tensor imaging for the assessment of upper motor neuron integrity in ALS. Neurology 2004; 63: 2111–9
Winhammar JM, Rowe DB, Henderson RD, et al. Assessment of disease progression in motor neuron disease. Lancet Neurol2005; 4: 229–38
Valsasina P, Agosta F, Benedetti B, et al. Diffusion anisotropy of the cervical cord is strictly associated with disability in ALS. J Neurol Neurosurg Psychiatry 2006; 78: 480–4
Pohl C, Block W, Karitzky J, et al. Proton magnetic resonance spectroscopy of the motor cortex in 70 patients with amyotrophic lateral sclerosis. Arch Neurol 2001; 58: 729–35
Sarchielli P, Pelliccioli GP, Tarducci R, et al. Magnetic resonance imaging and 1H-magnetic resonance spectroscopy in amyotrophic lateral sclerosis. Neuroradiology 2001; 43: 189–97
Suhy J, Miller RG, Rule R, et al. Early detection and longitudinal changes in amyotrophic lateral sclerosis by (1)H MRSI. Neurology 2002; 58: 773–9
Gredal O, Rosenbaum S, Topp S, et al. Quantification of brain metabolites in amyotrophic lateral sclerosis by localized proton magnetic resonance spectroscopy. Neurology 1997; 48: 878–81
Pioro EP, Antel JP, Cashman NR, et al. Detection of cortical neuron loss in motor neuron disease by proton magnetic resonance spectroscopic imaging in vivo. Neurology 1994; 44: 1933–8
Kalra S, Hanstock CC, Martin WR, et al. Detection of cerebral degeneration in amyotrophic lateral sclerosis using high-field magnetic resonance spectroscopy. Arch Neurol 2006; 63: 1144–8
Sach M, Winkler G, Glauche V, et al. Diffusion tensor MRI of early upper motor neuron involvement in amyotrophic lateral sclerosis. Brain 2004; 127: 340–50
Sage CA, Peeters RR, Gorner A, et al. Quantitative diffusion tensor imaging in amyotrophic lateral sclerosis. Neuroimage 2007; 34: 486–99
Thivard L, Pradat PF, Lehericy S, et al. Diffusion tensor imaging and voxel based morphometry study in amyotrophic lateral sclerosis: relationships with motor disability. J Neurol Neurosurg Psychiatry 2007; 78: 889–92
Mitsumoto H, Ulug AM, Pullman SL, et al. Quantitative objective markers for upper and lower motor neuron dysfunction in ALS. Neurology 2007; 68: 1402–10
Wong JC, Concha L, Beaulieu C, et al. Spatial profiling of the corticospinal tract in amyotrophic lateral sclerosis using diffusion tensor imaging. J Neuroimaging 2007; 17: 234–40
Schimrigk SK, Bellenberg B, Schluter M, et al. Diffusion tensor imaging-based fractional anisotropy quantification in the corticospinal tract of patients with amyotrophic lateral sclerosis using a probabilistic mixture model. AJNR Am J Neuroradiol 2007; 28: 724–30
Blain CRV, Williams VC, Johnston C, et al. A longitudinal study of diffusion tensor MRI in ALS. Amyotroph Lateral Scler 2007; 8: 348–55
Abe O, Yamada H, Masutani Y, et al. Amyotrophic lateral sclerosis: diffusion tensor tractography and voxel-based analysis. NMR Biomed 2004; 17: 411–6
Ciccarelli O, Behrens TE, Altmann DR, et al. Probabilistic diffusion tractography: a potential tool to assess the rate of disease progression in amyotrophic lateral sclerosis. Brain 2006; 129: 1859–71
Grosskreutz J, Kaufmann J, Fradrich J, et al. Widespread sensorimotor and frontal cortical atrophy in amyotrophic lateral sclerosis. BMC Neurol 2006; 6: 17
Waragai M, Takaya Y, Hayashi M. Serial MRI and SPECT in amyotrophic lateral sclerosis: a case report. J Neurol Sci 1997; 148: 117–20
Waldemar G, Vorstrup S, Jensen TS, et al. Focal reductions of cerebral blood flow in amyotrophic lateral sclerosis: a [99mTc]-d,l-HMPAO SPECT study. J Neurol Sci 1992; 107: 19–28
Abe K, Yorifuji S, Nishikawa Y. Reduced isotope uptake restricted to the motor area in patients with amyotrophic lateral sclerosis. Neuroradiology 1993; 35: 410–1
Kalra S, Arnold D. Neuroimaging in amyotrophic lateral sclerosis. Amyotroph Lateral Scler Other Motor Neuron Disord 2003; 4: 243–8
Habert MO, Lacomblez L, Maksud P, et al. Brain perfusion imaging in amyotrophic lateral sclerosis: extent of cortical changes according to the severity and topography of motor impairment. Amyotroph Lateral Scler 2007; 8: 9–15
Hoffman JM, Mazziotta JC, Hawk TC, et al. Cerebral glucose utilization in motor neuron disease. Arch Neurol 1992; 49: 849–54
Hatazawa J, Brooks RA, Dalakas MC, et al. Cortical motor-sensory hypometabolism in amyotrophic lateral sclerosis: a PET study. J Comput Assist Tomogr 1988; 12: 630–6
Turner MR, Rabiner EA, Hammers A, et al. [11C]-WAY100635 PET demonstrates marked 5-HT1A receptor changes in sporadic ALS. Brain 2005; 128: 896–905
Turner MR, Cagnin A, Turkheimer FE, et al. Evidence of widespread cerebral microglial activation in amyotrophic lateral sclerosis: an [11C](R)-PK11195 positron emission tomography study. Neurobiol Dis 2004; 15: 601–9
Kew JJ, Leigh PN, Playford ED, et al. Cortical function in amyotrophic lateral sclerosis: a positron emission tomography study. Brain 1993; 116 (Pt 3): 655–80
Konrad C, Henningsen H, Bremer J, et al. Pattern of cortical reorganization in amyotrophic lateral sclerosis: a functional magnetic resonance imaging study. Exp Brain Res 2002; 143: 51–6
Unrath A, Ludolph AC, Kassubek J. Brain metabolites in definite amyotrophic lateral sclerosis: a longitudinal proton magnetic resonance spectroscopy study. J Neurol 2007; 254: 1099–106
Acknowledgments
No sources of funding were used to assist in the preparation of this review. The authors have no conflicts of interest that are directly relevant to the content of this review.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Pradat, PF., Dib, M. Biomarkers in Amyotrophic Lateral Sclerosis. Mol Diag Ther 13, 115–125 (2009). https://doi.org/10.1007/BF03256320
Published:
Issue Date:
DOI: https://doi.org/10.1007/BF03256320