Abstract
Ataxia is a movement disorder that manifests during the execution of purposeful movements. It results from damage to the structures of the cerebellum and its connections or the posterior cords of the spinal cord. It should be noted that, in addition to occurring as part of many diseases, pediatric ataxia is a common symptom in neurometabolic diseases. To date, there are more than 150 inherited metabolic disorders that can manifest as ataxia in children. Neuroimaging studies (magnetic resonance imaging of the head and spinal cord) are essential in the diagnosis of ataxia, and genetic studies are performed when metabolic diseases are suspected. It is important to remember that most of these disorders are progressive if left untreated. Therefore, it is crucial to include neurometabolic disorders in the differential diagnosis of ataxia, so that an early diagnosis can be made. Initiating prompt treatment influences positive neurodevelopmental outcomes.
1. Introduction
A kind of movement disorder, ataxia in children is a common clinical symptom that has various origins; it presents through difficulties in the smooth and accurate execution of movements, balance disorders, and a lack of muscle control during voluntary activity [1,2,3,4,5]. Muscle strength is normal, but the coordination of the patient’s actions is disrupted, making it impossible to accurately perform activities that require the smooth interaction of several muscle groups [1,2,3,4,5]. The cause of cerebellar ataxia is most often a dysfunction of the circuit connecting the basal ganglia, cerebellum, and cerebral cortex [1,6,7]. Sensory ataxia [3,4], on the other hand, refers to a dysfunction of proprioceptive sensation correlated with peripheral nerves or with the posterior columns of the spinal cord [1,6,7]. Ataxia can manifest as gait ataxia, trunk ataxia, tremor, or nystagmus, depending on the parts of the nervous system involved [2,8,9]. It is worth noting that all types of ataxia can occur singly or together in a single patient [8].
Both acquired and inherited metabolic disorders can cause ataxia, which is one of the most common neurological manifestations of these disorders [8,10,11,12]. Neurometabolic disorders are a (clinically and genetically) heterogeneous group of rare diseases; although individually rare, they account for a large number of children who present with a spectrum of neurological symptoms in clinical practice [1,8,10,12]. Their collective prevalence is about 1 in 1000 live births [8]. Neurometabolic disorders are usually caused by complete or partial enzyme deficiencies or transporter defects, leading to clinical symptoms in the form of the accumulation of toxic products or a lack of an essential end product. These diseases have been diagnosed with increasing frequency in recent years, as a result of an intensively developing system of population-based screening (covering all newborns) and selective screening (performed on children with symptoms that may suggest the disorder) in many countries. Advances in genetics have revolutionized the way we understand, diagnose, and manage these inherited neurometabolic disorders. Thanks to these advances, a worldwide Inborn Errors of Metabolism Knowledgebase has also been established, which is a reliable source of knowledge and collects information on neurometabolic disorders presenting with ataxia (http://www.iembase.org/ (accessed on 11 November 2022)).
The central nervous system (CNS) is extremely sensitive to internal and external metabolic perturbations [13]. Regions of the brain have different metabolic and energetic requirements depending on the neuronal populations and subtypes of cells that comprise them. In particular, the cerebellum, which is made up of large Purkinje cells (the main output neurons in the cerebellum), is characterized by a high density of neurons and glial cells; an important hierarchical energy-dependent node, it has high metabolic demands and is highly susceptible to metabolic perturbations. Consequently, many neurometabolic perturbations affect the structure and, as a result, also the function of the cerebellum [13,14]. It has been shown that the aforementioned Purkinje cells have higher energy requirements than molecular and granular cells [13,15], and, as a result, they are more susceptible to energy crises. When a patient suffers from a neurometabolic disease, dysfunction, global hypoplasia, or even atrophy of the cerebellum occurs, manifesting as ataxia, eye movement disorders, speech disorders, and cognitive impairment [1,8,11,13]. Some hereditary metabolic disorders may manifest as episodic or intermittent ataxia during concurrent illness, stressful situations, prolonged fasting, or high protein intake [8,10,12,13,16,17,18]. This is inextricably linked to increased energy demand and decreased energy production due to defects in energy metabolic pathways, fuel production, or transport, or the increased production of toxic metabolites (i.e., amino acids or secondary organic acids) [8].
2. Materials and Methods
2.1. Search Strategy
The search was conducted using the Pubmed, Medline, and Google Scholar databases to identify the literature related to ataxia and neurometabolic disorders. Two authors screened the above-mentioned databases. Each database was searched individually, and search terms were applied line by line and were replicated in every source. The following terms were used for the search: “ataxia” and “movement disorders”, in combination with terms such as “neurometabolic”, “neurometabolic disorders”, “metabolic disorders”, “inherited metabolic disorders”, or “inherited”. The entire process of searching the relevant papers (the period for establishing a database of relevant articles), which was conducted by two reviewers, lasted from August 2022 to October 2022, with subsequent updates based on the latest scientific reports.
2.2. Study Selection and Appraisal
Manuscripts were reviewed for titles, abstracts, and entire texts based on the following criteria. The inclusion criteria were as follows: (1) original papers; (2) reviews; (3) due to the rarity of the disease, we also included case reports in our review. The exclusion criteria were as follows: (1) methodological studies, editorials, commentaries, letters, and hypotheses; (2) papers with no available abstract; (3) manuscripts in a language other than English. Titles, abstracts, and full-text articles were screened regarding the inclusion criteria by two reviewers. Next, a manual search and reference and citation tracking were undertaken by two reviewers (K.K. and I.R.) who established the final selection of papers. Any disagreement was resolved by discussion.
2.3. Development of the Review
The analysis was conducted according to the following steps. The first step was related to the analysis of the selected papers based on titles and abstracts; the second step was concerned with the analysis of full-text papers; and the last step included the analysis of the collected data.
3. How to Recognize Ataxia
3.1. Clinical Investigation
Clinical symptoms in patients with cerebellar ataxia are associated with impaired localization [1,8]. Dysfunction of the cerebellar vermis manifests as trunk imbalance, nystagmus, and head waddling, while impairment of the cerebellar hemispheres results in a gait that veers toward the affected side, with asymmetry of the ipsilateral extremities and a high-stepping gait [1,8,11]. The involvement of afferent/sensory ataxia manifests with a walking gait and sensory damage of the extremities. In addition, ataxia is also characterized by intention tremors and speech-forming difficulties [1].
As in any other disease, obtaining a medical history and conducting a physical examination are important and invaluable diagnostic steps. They make it possible to recognize motor abnormalities and distinguish cerebellar involvement from other affected areas of the nervous system [1,11].
The first step in the clinical evaluation of a patient with cerebellar ataxia is the diagnosis of gait imbalance, which is usually the first symptom in patients with ataxia [11,19]. Patients often struggle to climb and descend stairs; they usually have to use a handrail [1,11,13]. Other symptoms the patient may report include difficulty running, as well as leaning to one side [1]. Over time, falls are often added to this clinical picture [11,13]. In the early stages, patients may experience double vision when turning their heads quickly [1,5,11,13]. Blurred vision is also a common symptom, resulting from transient and mild double vision [1,5,11,13]. Slurred speech may occur, making it difficult to understand some words [1,11]. Patients also sometimes report loss of hand dexterity, resulting in illegible handwriting and difficulty in performing manual activities [11].
The following factors may prompt physicians to include hereditary metabolic disorders in the differential diagnosis: obtaining information in the medical history from the patient or relatives regarding the presence of recurrent episodes of lethargy or even coma during comorbidities; a history of protein aversion or lack of growth; hearing loss or significant deterioration of hearing; progressive loss of skills; hair growth abnormalities, global developmental delay (GDD), and behavioral problems [8,10]. In addition, a family history involving other family members (usually first-degree relatives) of GDD, psychiatric disorders, and cognitive impairment, as well as recurrent miscarriages in women, sudden infant death syndrome (SIDS), or congenital malformations in close family members may also be important clues to include hereditary metabolic disorders in the diagnostic process [8,10]. Although the diagnosis of ataxia is a significant first step, the symptoms associated with ataxia can often suggest a possible diagnosis [1,11]. Therefore, evaluating the patient for signs of peripheral neuropathy, autonomic symptoms, and seizures is also an important part of the clinical management of the patient [1,11]. In addition, sometimes it is also worthwhile to broaden the patient’s history by assessing their exposure to toxins and drugs, which can also prove helpful in identifying the cause [1,2,5,20,21].
In Table 1, we provide a brief summary of the clinical features associated with the most common neurometabolic disorders presenting with ataxia. Regarding the necessity of deepening our knowledge about particular neurometabolic disorders, in the references column, we provide links to studies where more information can be found.
Table 1.
Clinical features of neurometabolic disorders presenting with ataxia.
3.2. Neurological Examination
The neurological examination of patients with ataxia can be divided into several parts: eyes, speech, hands, legs and gait, and typical symptoms and specific maneuvers can be very helpful in revealing pediatric ataxia [1,10,11]. The patient can be evaluated in different positions: sitting, in which the affected child manifests loss of trunk control, and walking, in which the patient demonstrates a tandem gait or deviation toward the affected side [1].
The diagnosis of ataxia is especially difficult in early childhood. The most common cerebellar symptom among children is gait instability [1]. The child stands with feet wide apart and quickly loses balance. When attempting to walk, the child sways and stops, and may also walk backwards. Some patients may have a lack of coordination of their eye movements. After the age of three, the semiology of ataxia is similar to that seen in adulthood [1].
Various abnormalities of eye movements can be associated with different types of ataxia [11]. However, it is important to note that genotypically different ataxias may have a similar clinical picture, and patients with the same genotype may have different oculomotor abnormalities. In addition, the clinical picture changes with the severity of the disease. The main anomalies include [11,83,84,85]:
- hyper- or hypometric saccades (observed in many types of ataxia);
- vertical or horizontal nystagmus (observed in many types of ataxia);
- saccadic intrusion in fixed gaze (i.e., square-wave jerks);
- breakdown of smooth pursuit;
- slow saccades;
- ophthalmoplegia/ophthalmoparesis, (observed in sensory ataxic neuropathy, dysarthria and ophthalmoparesis (SANDO));
- ptosis (observed in SANDO and ataxia associated with mitochondrial genome mutations).
Symptoms of cerebellar involvement include slurred speech, poor expression, and scarring [1,8,11,13]. Scanning speech can be common in patients with ataxia. It is characterized by a disruption of normal speech patterns and words are broken into separate syllables [1,8,11,13]. Speech speed may become slow and speech volume may be variable [1,11,13].
Maneuvers commonly used to test hand ataxia and coordination include:
- The finger–nose test (the patient repeatedly uses the index finger to touch the tip of their nose with their eyes open and then closed);
- The finger–nose test (the patient points with their index finger from the nose to the physician’s finger);
- The finger-chase test (the patient’s index finger follows the physician’s moving index finger as closely as possible);
- Rapid alternating movements (the patient performs cycles of repeated alternating pronation and supination of the hand on the thigh).
Patients with ataxia may show excessive acceleration in the finger-chase test and variable rhythm and speed in alternating movements, as well as intention tremors in the finger–nose–finger test [1,11]. This is because the tremor becomes more prominent when the fingers are closer to the target [1,11]. Another neurological test used to evaluate patients with ataxia is the heel–knee test. In this test, patients are asked to straighten one leg and use the heel of the other leg to smoothly and precisely slide the shin off the knee. Patients with ataxia will experience difficulty keeping the heel on the shin. Dysmetria observed through errors in determining the correct distance (too long or too short) can also be of diagnostic value.
Then, the patient is asked to stand in a neutral position so that the physician can observe any swaying of the trunk. Later, the patient stands with his or her feet together in tandem, on both feet, or hops on both feet. These maneuvers can highlight subtle imbalances associated with cerebellar dysfunction [1,11]. In clinical practice, the patient is often asked to close his or her eyes while performing these maneuvers. If there is a significant deterioration of balance in this situation, it indicates the involvement of sensory neuropathy [1,11,13]. During gait testing, attention should be paid to variability in the stride length and direction. It is important to remember that the features of ataxic gait can change at different stages of the disease. In mild ataxia, the gait may be narrow, but twisting in one direction and abnormal steps are often observed [1,11,13]. In moderate ataxia, the gait becomes wide to compensate for imbalance [1,11,13]; meanwhile, if the patient has more advanced ataxia, in addition to a wide-base gait, step length may be shortened to allow for further compensation [1,11,13]. For patients who have difficulty walking up stairs and on level, horizontal ground or running, the observation of their performance in such tasks will usually provide additional information for diagnosis.
Among the maneuvers used to reveal ataxia in children are the Romberg test, which is characterized by a tendency to fall down with eyes closed in the holding position, as well as the test of holding a full glass of water in the hand without spilling it [1,86].
In the Romberg test, the patient stands with feet together and arms straight, extended in front of him (elbow joints should be straight and the forearms should remain in supination), with his eyes open and then also closed. The patient should stand in this position for 30 s. It is worth noting that, when performing the Romberg test, a patient who has his eyes closed should be belayed, in order to avoid falling and suffering injury. The ability to maintain balance and the possible direction of falling are assessed: the patient falls toward the injured cerebellar hemisphere or backward in the situation of cerebellar vermis injury [1,86].
Once the presence of ataxia has been established through neurological examination, other accompanying symptoms may be key to indicating a specific diagnosis. Special attention should be paid to signs of parkinsonism, myoclonus, dystonia, tremor, hyperreflexia, sensory neuropathy and extensor reflexes [10,11]. Sensory–tactile, pain, thermal, and prosodic assessments should be recorded, and any abnormalities should be carefully checked [1].
4. Diagnosis of the Neurometabolic Causes of Ataxia and Their Specific Treatment
Inherited neurometabolic disorders should be included in the differential diagnosis of all children with ataxia, even if there are only a few signs and symptoms that might indicate that they could be the cause [10,87,88]. Clinicians should be particularly concerned when the causes of ataxia remain unexplained after the most common etiologies, such as drug side effects, infections, and focal brain lesions, have been ruled out [16,17,89]. Then, neurometabolic diseases should always be suspected [16,17,89]. Table 2 shows red flags suggesting that ataxia may be caused by neurometabolic diseases [10,16,17,18,89].
Table 2.
Red flags in ataxia pointing to a potential neurometabolic etiology [10,16,17,18,89].
Due to the fact that modern science is moving away from providing information in the comprehensive form of a coherent text, neurometabolic disorders that can manifest as ataxia and the characteristics that are necessary for diagnosing clinicians are presented in the form of a table. In our opinion, this is an easier to analyze, more readable source of all the information needed by the clinician to begin to suspect a neurometabolic disorder, make a diagnosis, and initiate appropriate treatment (if available). In Table 3, we present the most common neurometabolic disorders presenting with ataxia with their characteristic biochemical abnormalities (which can be observed in the disease after the examination of blood serum, urine, or cerebrospinal fluid), abnormalities in neuroimaging studies, and disease-specific treatment (if available for the disease). Disorders that have specific treatments are highlighted by bolding their names.
Table 3.
Neurometabolic disorders presenting with ataxia: biochemical abnormalities, neuroimaging abnormalities, and disease-specific treatments.
Among this group of neurometabolic disorders are those that have their own characteristic clinical or neurological features. In such a situation, appropriate disease-targeted metabolic tests can be performed to provide preliminary support for the suspected diagnosis. The source of material for testing may be serum, cerebrospinal fluid (CSF), or urine. One test that is used to confirm the diagnosis of neurometabolic disorders is targeted direct Sanger sequencing [8,11]. In some cases, the patient has no specific features when they undergo clinical examination, biochemical tests, or neuroimaging. In this situation, non-targeted genetic testing, including a targeted next-generation sequencing panel, whole exome, or mitochondrial genome sequencing is used to establish the diagnosis [8,11].
5. Conclusions
Ataxia is an important clinical manifestation in pediatric neurology, which can pose great diagnostic difficulties due to its diverse etiology. Ataxia can occur in various types of neurometabolic disorders, including, among others, congenital disorders of the amino acid metabolism, peroxisomal disorders, congenital glycosylation disorders, organic acidosis; mitochondrial diseases, or lysosomal storage disorders.
The diagnosis of ataxia, especially in young children, can pose a considerable challenge to clinicians. Ataxia can be overlooked and erroneously associated with delayed coordination and the delayed development of the nervous system. Physical examinations with a special role for neurological examinations are extremely helpful in detecting its clinical manifestations. Once the symptoms of cerebellar ataxia are established, it is important to look for other neurological symptoms (e.g., tremor, dystonia, parkinsonism, motor neuron symptoms) as clues as to the cause of the ataxia. Clues regarding the presence of neurometabolic disorders include the presence of GDD or regression, seizures, encephalopathy, or tone abnormalities. Early diagnosis is important for both diagnostic and therapeutic purposes, as many neurometabolic disorders can be treated. For this reason, it is crucial for physicians to be familiar with the topic of neurometabolic disorders, their variety of clinical manifestations, and their underlying causes. The more we know, the easier it is to make a diagnosis and implement appropriate treatment that will limit further damage, and can improve patients’ neurodevelopmental outcomes and quality of life, and prevent premature death.
Given the rarity of neurometabolic diseases, we face the problem that only a limited number of studies have been conducted on a representative group of patients. As a result, the available evidence and management guidelines are very limited. The best resource for clinicians is prospective randomized controlled trials (RCTs), but these are difficult to conduct in diseases as rare as neurometabolic disorders. Therefore, it is important to develop a platform for knowledge sharing between researchers and clinicians. Such a platform would serve to share their insights into the causes, symptoms, diagnostic processes, and treatment options for neurometabolic diseases. Another beneficial possibility would be the formation of specialized consortia, where standardized research into the causes of and treatments for neurometabolic disorders would be carried out.
Author Contributions
Conceptualization, J.P.; methodology, K.K., I.R. and J.P.; software, K.K., I.R. and J.P.; validation K.K., I.R. and J.P.; formal analysis, J.P.; investigation, K.K., I.R. and J.P.; resources, K.K., I.R. and J.P.; data curation, K.K., I.R. and J.P.; writing—original draft preparation, K.K., I.R. and J.P.; writing—review and editing, J.P.; visualization, K.K., I.R. and J.P.; supervision, J.P.; project administration, J.P.; funding acquisition, J.P. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Pavone, P.; Praticò, A.D.; Pavone, V.; Lubrano, R.; Falsaperla, R.; Rizzo, R.; Ruggieri, M. Ataxia in children: Early recognition and clinical evaluation. Ital. J. Pediatr. 2017, 43, 6. [Google Scholar] [CrossRef]
- Akbar, U.; Ashizawa, T. Ataxia. Neurol. Clin. 2015, 33, 225–248. [Google Scholar] [CrossRef]
- Pandolfo, M.; Manto, M. Cerebellar and afferent ataxias. Contin. Lifelong Learn. Neurol. 2013, 19, 1312–1343. [Google Scholar] [CrossRef]
- Sanger, T.D.; Chen, D.; Delgado, M.R.; Gaebler-Spira, D.; Hallett, M.; Mink, J.W. Definition and classification of negative motor signs in childhood. Pediatrics 2006, 118, 2159–2167. [Google Scholar] [CrossRef]
- Vedolin, L.; Gonzalez, G.; Souza, C.F.; Lourenço, C.; Barkovich, A.J. Inherited cerebellar ataxia in childhood: A pattern-recognition approach using brain MRI. Am. J. Neuroradiol 2013, 34 (Suppl. S1–S2), 925–934. [Google Scholar] [CrossRef]
- Teive, H.A.; Ashizawa, T. Primary and secondary ataxias. Curr. Opin. Neurol. 2015, 28, 413–422. [Google Scholar] [CrossRef]
- Jen, J.C.; Graves, T.D.; Hess, E.J.; Hanna, M.G.; Griggs, R.C.; Baloh, R.W. CINCH investigators Primary episodic ataxias: Diagnosis, pathogenesis and treatment. Brain 2007, 130 Pt 10, 2484–2493. [Google Scholar] [CrossRef]
- Silver, G.; Mercimek-Andrews, S. Inherited Metabolic Disorders Presenting with Ataxia. Int. J. Mol. Sci. 2020, 21, 5519. [Google Scholar] [CrossRef]
- Ashizawa, T.; Xia, G. Ataxia. Contin. Lifelong Learn. Neurol. 2016, 22, 1208–1226. [Google Scholar] [CrossRef]
- Ortigoza-Escobar, J.D. A Proposed Diagnostic Algorithm for Inborn Errors of Metabolism Presenting with Movements Disorders. Front. Neurol. 2020, 11, 582160. [Google Scholar] [CrossRef] [PubMed]
- Kuo, S.H. Ataxia. Contin. Lifelong Learn. Neurol. 2019, 25, 1036–1054. [Google Scholar] [CrossRef] [PubMed]
- Saini, A.G.; Sharma, S. Movement Disorders in Inherited Metabolic Diseases in Children. Ann. Indian Acad. Neurol. 2020, 23, 332–337. [Google Scholar] [CrossRef] [PubMed]
- Ismail, F.Y.; Mitoma, H.; Fatemi, A. Metabolic ataxias. Handb. Clin. Neurol. 2018, 155, 117–127. [Google Scholar] [CrossRef] [PubMed]
- Poretti, A.; Boltshauser, E.; Huisman, T.A. Prenatal Cerebellar Disruptions: Neuroimaging Spectrum of Findings in Correlation with Likely Mechanisms and Etiologies of Injury. Neuroimaging Clin. N. Am. 2016, 26, 359–372. [Google Scholar] [CrossRef] [PubMed]
- Barros, L.F.; Courjaret, R.; Jakoby, P.; Loaiza, A.; Lohr, C.; Deitmer, J.W. Preferential transport and metabolism of glucose in Bergmann glia over Purkinje cells: A multiphoton study of cerebellar slices. Glia 2009, 57, 962–970. [Google Scholar] [CrossRef]
- Ferreira, C.R.; Hoffmann, G.F.; Blau, N. Clinical and biochemical footprints of inherited metabolic diseases. I. Movement disorders. Mol. Genet. Metab. 2019, 127, 28–30. [Google Scholar] [CrossRef]
- Sedel, F.; Saudubray, J.M.; Roze, E.; Agid, Y.; Vidailhet, M. Movement disorders and inborn errors of metabolism in adults: A diagnostic approach. J. Inherit. Metab. Dis. 2008, 31, 308–318. [Google Scholar] [CrossRef]
- Fernández-Álvarez, E.; Roubertie, A. Movement disorders in childhood metabolic diseases. In Movement Disorders in Neurologic and Systemic Disease; Cambridge University Press: Cambridge, UK, 2014; pp. 115–130. [Google Scholar] [CrossRef]
- Luo, L.; Wang, J.; Lo, R.Y.; Figueroa, K.P.; Pulst, S.M.; Kuo, P.H.; Perlman, S.; Wilmot, G.; Gomez, C.M.; Schmahmann, J.; et al. The Initial Symptom and Motor Progression in Spinocerebellar Ataxias. Cerebellum 2017, 16, 615–622. [Google Scholar] [CrossRef]
- van Gaalen, J.; Kerstens, F.G.; Maas, R.P.; Härmark, L.; van de Warrenburg, B.P. Drug-induced cerebellar ataxia: A systematic review. CNS Drugs 2014, 28, 1139–1153. [Google Scholar] [CrossRef]
- Manto, M. Toxic agents causing cerebellar ataxias. Handb. Clin. Neurol. 2012, 103, 201–213. [Google Scholar] [CrossRef]
- Mukhopadhyay, D.; Das, M.K.; Dhar, S.; Mukhopadhyay, M. Multiple carboxylase deficiency (late onset) due to deficiency of biotinidase. Indian J. Dermatol. 2014, 59, 502–504. [Google Scholar] [CrossRef] [PubMed]
- Saleem, H.; Simpson, B. Biotinidase Deficiency. In StatPearls; Treasure Island (FL), StatPearls Publishing: Tampa, FL, USA, 2022. [Google Scholar]
- Shao, J. Expert consensus on screening, diagnosis and treatment of multiple carboxylase deficiency. Zhejiang Da Xue Xue Bao Yi Xue Ban. 2022, 51, 129–135. [Google Scholar] [CrossRef]
- Gales, A.; Masingue, M.; Millecamps, S.; Giraudier, S.; Grosliere, L.; Adam, C.; Salim, C.; Navarro, V.; Nadjar, Y. Adolescence/adult onset MTHFR deficiency may manifest as isolated and treatable distinct neuro-psychiatric syndromes. Orphanet J. Rare Dis. 2018, 13, 1–8. [Google Scholar] [CrossRef] [PubMed]
- Perna, A.; Masciullo, M.; Modoni, A.; Cellini, E.; Parrini, E.; Ricci, E.; Donati, A.M.; Silvestri, G. Severe 5,10-methylenetetrahydrofolate reductase deficiency: A rare, treatable cause of complicated hereditary spastic paraplegia. Eur. J. Neurol. 2018, 25, 602–605. [Google Scholar] [CrossRef]
- El Euch-Fayache, G.; Bouhlal, Y.; Amouri, R.; Feki, M.; Hentati, F. Molecular, clinical and peripheral neuropathy study of Tunisian patients with ataxia with vitamin E deficiency. Brain 2014, 137 Pt 2, 402–410. [Google Scholar] [CrossRef]
- Huemer, M.; Scholl-Bürgi, S.; Hadaya, K.; Kern, I.; Beer, R.; Seppi, K.; Fowler, B.; Baumgartner, M.R.; Karall, D. Three new cases of late-onset cblC defect and review of the literature illustrating when to consider inborn errors of metabolism beyond infancy. Orphanet J. Rare Dis. 2014, 9, 161. [Google Scholar] [CrossRef]
- Cali, E.; Dominik, N.; Manole, A.; Houlden, H. Riboflavin Transporter Deficiency. In GeneReviews®; University of Washington: Seattle, WA, USA, 2015. [Google Scholar]
- Axler, O.; Holmquist, P. Intermittent maple syrup urine disease: Two case reports. Pediatrics 2014, 133, e458–e460. [Google Scholar] [CrossRef]
- Nasrallah, F.; Hadj-Taieb, S.; Chehida, A.B.; Jelassi, A.; Ben Massoued, S.; Charfi, M.; Zidi, W.; Amri, F.; Helel, K.B.; Mejaoual, H.; et al. Nonketotic Hyperglycinemia in Tunisia. Report upon a Series of 69 Patients. Neuropediatrics 2020, 51, 349–353. [Google Scholar] [CrossRef]
- Hashmi, M.S.; Gupta, V. Hartnup Disease. In StatPearls; Treasure Island (FL), StatPearls Publishing: Tampa, FL, USA, 2022. [Google Scholar]
- Van Kuilenburg, A.B.P.; Tarailo-Graovac, M.; Richmond, P.A.; Drögemöller, B.I.; Pouladi, M.A.; Leen, R.; Brand-Arzamendi, K.; Dobritzsch, D.; Dolzhenko, E.; Eberle, M.A.; et al. Glutaminase Deficiency Caused by Short Tandem Repeat Expansion in GLS. N. Engl. J. Med. 2019, 380, 1433–1441. [Google Scholar] [CrossRef]
- Holder, J.L., Jr.; Agadi, S.; Reese, W.; Rehder, C.; Quach, M.M. Infantile spasms and hyperekplexia associated with isolated sulfite oxidase deficiency. JAMA Neurol. 2014, 71, 782–784. [Google Scholar] [CrossRef][Green Version]
- Martinelli, D.; Diodato, D.; Ponzi, E.; Monné, M.; Boenzi, S.; Bertini, E.; Fiermonte, G.; Dionisi-Vici, C. The hyperornithinemia-hyperammonemia-homocitrullinuria syndrome. Orphanet J. Rare Dis. 2015, 10, 29. [Google Scholar] [CrossRef]
- Schlune, A.; Riederer, A.; Mayatepek, E.; Ensenauer, R. Aspects of Newborn Screening in Isovaleric Acidemia. Int. J. Neonatal Screen. 2018, 4, 7. [Google Scholar] [CrossRef]
- Forny, P.; Hörster, F.; Ballhausen, D.; Chakrapani, A.; Chapman, K.A.; Dionisi-Vici, C.; Dixon, M.; Grünert, S.C.; Grunewald, S.; Haliloglu, G.; et al. Guidelines for the diagnosis and management of methylmalonic acidaemia and propionic acidaemia: First revision. J. Inherit. Metab. Dis. 2021, 44, 566–592. [Google Scholar] [CrossRef]
- Cornelius, L.P.; Raju, V.; Julin, A. Pediatric Glutaric Aciduria Type 1: 14 Cases, Diagnosis and Management. Ann. Indian Acad. Neurol. 2021, 24, 22–26. [Google Scholar] [CrossRef]
- Coelho, A.I.; Rubio-Gozalbo, M.E.; Vicente, J.B.; Rivera, I. Sweet and sour: An update on classic galactosemia. J. Inherit. Metab. Dis. 2017, 40, 325–342. [Google Scholar] [CrossRef]
- Leen, W.G.; Mewasingh, L.; Verbeek, M.M.; Kamsteeg, E.J.; van de Warrenburg, B.P.; Willemsen, M.A. Movement disorders in GLUT1 deficiency syndrome respond to the modified Atkins diet. Mov. Disord. 2013, 28, 1439–1442. [Google Scholar] [CrossRef]
- Kaminiów, K.; Kozak, S.; Paprocka, J. Recent Insight into the Genetic Basis, Clinical Features, and Diagnostic Methods for Neuronal Ceroid Lipofuscinosis. Int. J. Mol. Sci. 2022, 23, 5729. [Google Scholar] [CrossRef]
- Chan, B.; Adam, D.N. A Review of Fabry Disease. Ski. Ther. Lett. 2018, 23, 4–6. [Google Scholar]
- Kohler, L.; Puertollano, R.; Raben, N. Pompe Disease: From Basic Science to Therapy. Neurotherapeutics 2018, 15, 928–942. [Google Scholar] [CrossRef] [PubMed]
- Debs, R.; Froissart, R.; Aubourg, P.; Papeix, C.; Douillard, C.; Degos, B.; Fontaine, B.; Audoin, B.; Lacour, A.; Said, G.; et al. Krabbe disease in adults: Phenotypic and genotypic update from a series of 11 cases and a review. J. Inherit. Metab. Dis. 2013, 36, 859–868. [Google Scholar] [CrossRef] [PubMed]
- Shao, Y.H.; Choquet, K.; La Piana, R.; Tétreault, M.; Dicaire, M.J.; Boycott, K.M.; Majewski, J.; Brais, B. Mutations in GALC cause late-onset Krabbe disease with predominant cerebellar ataxia. Neurogenetics 2016, 17, 137–141. [Google Scholar] [CrossRef] [PubMed]
- Solovyeva, V.V.; Shaimardanova, A.A.; Chulpanova, D.S.; Kitaeva, K.V.; Chakrabarti, L.; Rizvanov, A.A. New Approaches to Tay-Sachs Disease Therapy. Front. Physiol. 2018, 9, 1663. [Google Scholar] [CrossRef] [PubMed]
- Ramani, P.K. Tay-Sachs Disease. In StatPearls; Treasure Island (FL), StatPearls Publishing: Tampa, FL, USA, 2022. [Google Scholar]
- Geberhiwot, T.; Moro, A.; Dardis, A.; Ramaswami, U.; Sirrs, S.; Marfa, M.P.; Vanier, M.T.; Walterfang, M.; Bolton, S.; Dawson, C.; et al. Consensus clinical management guidelines for Niemann-Pick disease type C. Orphanet J. Rare Dis. 2018, 13, 1–9. [Google Scholar] [CrossRef] [PubMed]
- Anheim, M.; Lagha-Boukbiza, O.; Fleury-Lesaunier, M.C.; Valenti-Hirsch, M.P.; Hirsch, E.; Gervais-Bernard, H.; Broussolle, E.; Thobois, S.; Vanier, M.T.; Latour, P.; et al. Heterogeneity and frequency of movement disorders in juvenile and adult-onset Niemann-Pick C disease. J. Neurol. 2014, 261, 174–179. [Google Scholar] [CrossRef]
- Fumagalli, F.; Zambon, A.A.; Rancoita, P.M.V.; Baldoli, C.; Canale, S.; Spiga, I.; Medaglini, S.; Penati, R.; Facchini, M.; Ciotti, F.; et al. Metachromatic leukodystrophy: A single-center longitudinal study of 45 patients. J. Inherit. Metab. Dis. 2021, 44, 1151–1164. [Google Scholar] [CrossRef]
- van Rappard, D.F.; Boelens, J.J.; Wolf, N.I. Metachromatic leukodystrophy: Disease spectrum and approaches for treatment. Best Pr. Res. Clin. Endocrinol. Metab. 2015, 29, 261–273. [Google Scholar] [CrossRef]
- Barmherzig, R.; Bullivant, G.; Cordeiro, D.; Sinasac, D.S.; Blaser, S.; Mercimek-Mahmutoglu, S. A New Patient with Intermediate Severe Salla Disease with Hypomyelination: A Literature Review for Salla Disease. Pediatr. Neurol. 2017, 74, 87–91. [Google Scholar] [CrossRef]
- Canafoglia, L.; Robbiano, A.; Pareyson, D.; Panzica, F.; Nanetti, L.; Giovagnoli, A.R.; Venerando, A.; Gellera, C.; Franceschetti, S.; Zara, F. Expanding sialidosis spectrum by genome-wide screening: NEU1 mutations in adult-onset myoclonus. Neurology 2014, 82, 2003–2006. [Google Scholar] [CrossRef]
- Gregory, A.; Venkateswaran, S.; Hayflick, S.J. Fatty Acid Hydroxylase-Associated Neurodegeneration. In GeneReviews®; University of Washington: Seattle, WA, USA, 2011. [Google Scholar]
- Liu, M.; Huang, D.; Wang, H.; Zhao, L.; Wang, Q.; Chen, X. Clinical and Molecular Characteristics of Two Chinese Children with Infantile Sandhoff Disease and Review of the Literature. J. Mol. Neurosci. 2020, 70, 481–487. [Google Scholar] [CrossRef]
- Xiao, C.; Tifft, C.; Toro, C. Sandhoff Disease. In GeneReviews®; University of Washington: Seattle, WA, USA, 2022. [Google Scholar]
- Takahashi, M.; Okazaki, H.; Ohashi, K.; Ogura, M.; Ishibashi, S.; Okazaki, S.; Hirayama, S.; Hori, M.; Matsuki, K.; Yokoyama, S.; et al. Current Diagnosis and Management of Abetalipoproteinemia. J. Atheroscler. Thromb. 2021, 28, 1009–1019. [Google Scholar] [CrossRef]
- Stelten, B.M.L.; van de Warrenburg, B.P.C.; Wevers, R.A.; Verrips, A. Movement disorders in cerebrotendinous xanthomatosis. Park. Relat. Disord. 2019, 58, 12–16. [Google Scholar] [CrossRef] [PubMed]
- Jeyaratnam, J.; Frenkel, J. Management of Mevalonate Kinase Deficiency: A Pediatric Perspective. Front. Immunol. 2020, 11, 1150. [Google Scholar] [CrossRef] [PubMed]
- Marchi, G.; Busti, F.; Lira Zidanes, A.; Castagna, A.; Girelli, D. Aceruloplasminemia: A Severe Neurodegenerative Disorder Deserving an Early Diagnosis. Front. Neurosci. 2019, 13, 325. [Google Scholar] [CrossRef] [PubMed]
- Vairo, F.P.E.; Chwal, B.C.; Perini, S.; Ferreira, M.A.P.; de Freitas Lopes, A.C.; Saute, J.A.M. A systematic review and evidence-based guideline for diagnosis and treatment of Menkes disease. Mol. Genet. Metab. 2019, 126, 6–13. [Google Scholar] [CrossRef] [PubMed]
- Engelen, M.; Kemp, S.; de Visser, M.; van Geel, B.M.; Wanders, R.J.; Aubourg, P.; Poll-The, B.T. X-linked adrenoleukodystrophy (X-ALD): Clinical presentation and guidelines for diagnosis, follow-up and management. Orphanet J. Rare Dis. 2012, 7, 51. [Google Scholar] [CrossRef]
- Hjartarson, H.T.; Ehrstedt, C.; Tedroff, K. Intrathecal baclofen treatment an option in X-linked adrenoleukodystrophy. Eur. J. Paediatr. Neurol. 2018, 22, 178–181. [Google Scholar] [CrossRef]
- van Karnebeek, C.; Horvath, G.; Murphy, T.; Purtzki, J.; Bowden, K.; Sirrs, S.; Honey, C.R.; Stockler, S. Deep brain stimulation and dantrolene for secondary dystonia in x-linked adrenoleukodystrophy. JIMD Rep. 2015, 15, 113–116. [Google Scholar] [CrossRef]
- Mignarri, A.; Vinciguerra, C.; Giorgio, A.; Ferdinandusse, S.; Waterham, H.; Wanders, R.; Bertini, E.; Dotti, M.T.; Federico, A. Zellweger Spectrum Disorder with Mild Phenotype Caused by PEX2 Gene Mutations. JIMD Rep. 2012, 6, 43–46. [Google Scholar] [CrossRef]
- Sevin, C.; Ferdinandusse, S.; Waterham, H.R.; Wanders, R.J.; Aubourg, P. Autosomal recessive cerebellar ataxia caused by mutations in the PEX2 gene. Orphanet J. Rare Dis. 2011, 6, 8. [Google Scholar] [CrossRef]
- Zeiger, W.A.; Sun, L.R.; Bosemani, T.; Pearl, P.L.; Stafstrom, C.E. Acute Infantile Encephalopathy as Presentation of Succinic Semialdehyde Dehydrogenase Deficiency. Pediatr. Neurol. 2016, 58, 113–115. [Google Scholar] [CrossRef]
- Wang, K.Y.; Barker, P.B.; Lin, D.D. A case of acute onset succinic semialdehyde dehydrogenase deficiency: Neuroimaging findings and literature review. Child’s Nerv. Syst. 2016, 32, 1305–1309. [Google Scholar] [CrossRef] [PubMed]
- Salviati, L.; Trevisson, E.; Doimo, M.; Navas, P. Primary Coenzyme Q10 Deficiency. In GeneReviews®; University of Washington: Seattle, WA, USA, 2017. [Google Scholar]
- Liu, Y.T.; Hersheson, J.; Plagnol, V.; Fawcett, K.; Duberley, K.E.; Preza, E.; Hargreaves, I.P.; Chalasani, A.; Laurá, M.; Wood, N.W.; et al. Autosomal-recessive cerebellar ataxia caused by a novel ADCK3 mutation that elongates the protein: Clinical, genetic and biochemical characterisation. J. Neurol. Neurosurg. Psychiatry 2014, 85, 493–498. [Google Scholar] [CrossRef] [PubMed]
- Coci, E.G.; Gapsys, V.; Shur, N.; Shin-Podskarbi, Y.; de Groot, B.L.; Miller, K.; Vockley, J.; Sondheimer, N.; Ganetzky, R.; Freisinger, P. Pyruvate carboxylase deficiency type A and type C: Characterization of five novel pathogenic variants in PC and analysis of the genotype-phenotype correlation. Hum. Mutat. 2019, 40, 816–827. [Google Scholar] [CrossRef] [PubMed]
- Patel, K.P.; O’Brien, T.W.; Subramony, S.H.; Shuster, J.; Stacpoole, P.W. The spectrum of pyruvate dehydrogenase complex deficiency: Clinical, biochemical and genetic features in 371 patients. Mol. Genet. Metab. 2012, 105, 34–43. [Google Scholar] [CrossRef] [PubMed]
- Ganetzky, R.; McCormick, E.M.; Falk, M.J. Primary Pyruvate Dehydrogenase Complex Deficiency Overview. In GeneReviews®; University of Washington: Seattle, WA, USA, 2021. [Google Scholar]
- Quinonez, S.C.; Leber, S.M.; Martin, D.M.; Thoene, J.G.; Bedoyan, J.K. Leigh syndrome in a girl with a novel DLD mutation causing E3 deficiency. Pediatr. Neurol. 2013, 48, 67–72. [Google Scholar] [CrossRef]
- Stockler-Ipsiroglu, S.; van Karnebeek, C.; Longo, N.; Korenke, G.C.; Mercimek-Mahmutoglu, S.; Marquart, I.; Barshop, B.; Grolik, C.; Schlune, A.; Angle, B.; et al. Guanidinoacetate methyltransferase (GAMT) deficiency: Outcomes in 48 individuals and recommendations for diagnosis, treatment and monitoring. Mol. Genet. Metab. 2014, 111, 16–25. [Google Scholar] [CrossRef]
- Yoganathan, S.; Arunachal, G.; Kratz, L.; Varman, M.; Sudhakar, S.V.; Oommen, S.P.; Jain, S.; Thomas, M.; Babuji, M. Guanidinoacetate Methyltransferase (GAMT) Deficiency, A Cerebral Creatine Deficiency Syndrome: A Rare Treatable Metabolic Disorder. Ann. Indian Acad. Neurol. 2020, 23, 419–421. [Google Scholar] [CrossRef]
- van de Kamp, J.M.; Betsalel, O.T.; Mercimek-Mahmutoglu, S.; Abulhoul, L.; Grünewald, S.; Anselm, I.; Azzouz, H.; Bratkovic, D.; de Brouwer, A.; Hamel, B.; et al. Phenotype and genotype in 101 males with X-linked creatine transporter deficiency. J. Med. Genet. 2013, 50, 463–472. [Google Scholar] [CrossRef]
- Chilosi, A.; Casarano, M.; Comparini, A.; Battaglia, F.M.; Mancardi, M.M.; Schiaffino, C.; Tosetti, M.; Leuzzi, V.; Battini, R.; Cioni, G. Neuropsychological profile and clinical effects of arginine treatment in children with creatine transport deficiency. Orphanet J. Rare Dis. 2012, 7, 43. [Google Scholar] [CrossRef]
- Singmaneesakulchai, S.; Limotai, N.; Jagota, P.; Bhidayasiri, R. Expanding spectrum of abnormal movements in MELAS syndrome (mitochondrial encephalomyopathy, lactic acidosis, and stroke-like episodes). Mov. Disord. 2012, 27, 1495–1497. [Google Scholar] [CrossRef]
- Shemesh, A.; Margolin, E. Kearns Sayre Syndrome. In StatPearls; Treasure Island (FL), StatPearls Publishing: Tampa, FL, USA, 2022. [Google Scholar]
- Serrano, M.; de Diego, V.; Muchart, J.; Cuadras, D.; Felipe, A.; Macaya, A.; Velázquez, R.; Poo, M.P.; Fons, C.; O’Callaghan, M.M.; et al. Phosphomannomutase deficiency (PMM2-CDG): Ataxia and cerebellar assessment. Orphanet J. Rare Dis. 2015, 10, 138. [Google Scholar] [CrossRef] [PubMed]
- Chang, I.J.; He, M.; Lam, C.T. Congenital disorders of glycosylation. Ann. Transl. Med. 2018, 6, 477. [Google Scholar] [CrossRef] [PubMed]
- Anheim, M.; Tranchant, C.; Koenig, M. The autosomal recessive cerebellar ataxias. N. Engl. J. Med. 2012, 366, 636–646. [Google Scholar] [CrossRef] [PubMed]
- Moscovich, M.; Okun, M.S.; Favilla, C.; Figueroa, K.P.; Pulst, S.M.; Perlman, S.; Wilmot, G.; Gomez, C.; Schmahmann, J.; Paulson, H.; et al. Clinical evaluation of eye movements in spinocerebellar ataxias: A prospective multicenter study. J. Neuro Ophthalmol. 2015, 35, 16–21. [Google Scholar] [CrossRef]
- Kuo, P.H.; Lo, R.Y.; Tanji, K.; Kuo, S.H. Clinical Reasoning: A 58-year-old man with progressive ptosis and walking difficulty. Neurology 2017, 89, e1–e5. [Google Scholar] [CrossRef]
- Kruer, M.C. Pediatric movement disorders. Pediatr. Rev. 2015, 36, 104–129. [Google Scholar] [CrossRef]
- Ebrahimi-Fakhari, D.; van Karnebeek, C.; Münchau, A. Movement disorders in treatable inborn errors of metabolism. Mov. Disord. 2019, 34, 598–613. [Google Scholar] [CrossRef]
- Cordeiro, D.; Bullivant, G.; Siriwardena, K.; Evans, A.; Kobayashi, J.; Cohn, R.D.; Mercimek-Andrews, S. Genetic landscape of pediatric movement disorders and management implications. Neurol. Genet. 2018, 4, e265. [Google Scholar] [CrossRef]
- García-Cazorla, A.; Ortez, C.; Pérez-Dueñas, B.; Serrano, M.; Pineda, M.; Campistol, J.; Fernández-Álvarez, E. Hypokinetic-rigid syndrome in children and inborn errors of metabolism. Eur. J. Paediatr. Neurol. 2011, 15, 295–302. [Google Scholar] [CrossRef]
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