Skip to Content
  • Review
  • Open Access

5 July 2019

14 Pages

Loss of Mevalonate/Cholesterol Homeostasis in the Brain: A Focus on Autism Spectrum Disorder and Rett Syndrome

,
,
,
and
1
Department of Biosciences and Territory, University of Molise, Contrada Fonte Lappone, 86090 Pesche (IS), Italy
2
Department of Science, University Roma Tre, Viale Marconi, 446, 00146 Rome, Italy
3
Institute of Cellular and Integrative Neurosciences (INCI) CNRS UPR 3212, Université de Strasbourg, 5, rue Blaise Pascal, 67084 Strasbourg Cedex, France
*
Author to whom correspondence should be addressed.

Abstract

The mevalonate (MVA)/cholesterol pathway is crucial for central nervous system (CNS) development and function and consequently, any dysfunction of this fundamental metabolic pathway is likely to provoke pathologic changes in the brain. Mutations in genes directly involved in MVA/cholesterol metabolism cause a range of diseases, many of which present neurologic and psychiatric symptoms. This raises the question whether other diseases presenting similar symptoms are related albeit indirectly to the MVA/cholesterol pathway. Here, we summarized the current literature suggesting links between MVA/cholesterol dysregulation and specific diseases, namely autism spectrum disorder and Rett syndrome.

1. Introduction

Cholesterol Metabolism in the Brain

The brain contains 23% of the cholesterol in the human body although it represents only the 2% of the total body weight [1] indicating the importance of this molecule for the central nervous system (CNS). Cholesterol is a key constituent of myelin sheaths and neuronal membranes [2]. Specifically, cholesterol is a main component of synaptic vesicles: their formation, shape, and release are critically dependent on this lipid. Moreover cholesterol plays a role in the proper structural organization of postsynaptic densities [3]. Cholesterol is not homogeneously dispersed within membranes: it is more abundant in the cytosolic part of the plasma membrane [4] and it is enriched in dynamic structures called “lipid rafts” that play important roles in signal transduction across membranes [5]. In neurons, lipid rafts have been observed at synapses, where they could contribute to pre- and postsynaptic function [6,7,8,9,10]. Thus, an imbalance in cholesterol homeostasis both at the presynaptic and postsynaptic side is likely to impact neurotransmission, and induce the loss of synapses and dendritic spines [11,12]. Remarkably, cholesterol metabolism in the brain is completely separated from the rest of the body since lipoproteins containing cholesterol cannot cross the blood brain barrier (BBB). Cholesterol present in the CNS must be synthesized in situ [13]. The synthesis of this lipid is assured by the so-called mevalonate (MVA) pathway [14] that starts from acetate and comprises a series of ~30 enzymatic reactions. A key enzyme of this pathway is the 3-hydroxy-3-methylglutaryl Coenzyme A reductase (HMGCR), an integral membrane protein in the endoplasmic reticulum (ER) that reduces the 3-hydroxy-3-methylglutaryl Coenzyme A (HMG-CoA) to mevalonic acid (MVA). The membrane embedded portion of HMGCR contains a sterol-sensing domain (SSD) with five helices that is shared by several proteins involved in cholesterol homeostasis [15]. The SSD of HMGCR is crucial for the regulated degradation of the enzyme by the proteasome [16]. Importantly, MVA is the precursor of compounds other than cholesterol that are involved in diverse cellular processes such as transcription (isopentenyl tRNAs), protein N-glycosylation (dolichol phosphate), protein prenylation (farnesylation and geranylgeranylation), and mitochondrial electron transport (ubiquinone) (Figure 1) [17].
Figure 1. Schematic representation of MVA pathway. Enzymes involved or potentially involved in neurologic and psychiatric diseases are highlighted in blue circles. Autism spectrum disorder (ASD), 3-hydroxy-3-methylglutaryl Coenzyme A reductase (HMGCR); 7-dehydrocholesterol reductase (DHCR7); 24-dehydrocholesterol reductase (DHCR24), Rett syndrome (RTT); Squalene Epoxidase (SQLE); Smith–Lemli–Opitz syndrome (SLOS). Dotted arrows represent multiple enzymatic reactions. ? represents the hypothetic involvement of the indicated enzyme in the onset of the disease.
Several studies suggest that neurons produce cholesterol during prenatal life and depend on cholesterol synthesis by astrocytes after birth [12,13]. In the mouse CNS, cholesterol is synthesized at a rate of 0.26 mg/day during the first week of life. In adult animals, the synthesis exceeds the need and surplus cholesterol is excreted to plasma a rate of about 0.023 mg/day [18]. To this end, cholesterol is transformed by cholesterol 24-hydroxylase (CYP46A1) into 24-S hydroxycholesterol (24-S-OH), which is able to cross the BBB. The 24-S-OH is continually produced in the brain, mainly by neurons, and excreted into the bloodstream both in rodents and in humans [18]. This seemed to be the main mechanism to remove cholesterol from CNS [19,20], but data obtained by gas chromatography (GC)-MS have shown that the cholesterol metabolites 5α-hydroxy-6-oxocholesterol (3β,5α-dihydroxycholestan-6-one), 7β-hydroxycholesterol and 7-oxocholesterol, generally considered to be formed through reactive oxygen species, are similarly exported from brain at rates of about 0.1, 2 and 2 mg/24 h, respectively [21]. Brain cholesterol metabolism, in particular the MVA pathway, display region-, age-, and sex-specific differences. It has been shown that brain regions differ with respect to the activity and the content of proteins mediating cholesterol homeostasis. In particular, our research group demonstrated that cholesterol biosynthesis and uptake are differently modulated in different brain regions of adult male rats. The HMGCR activity is very low in the brain stem, and high in hippocampus, brain cortex and cerebellum. These regional differences depend on sex- and age-specific metabolic regulation [22,23].

4. Autism Spectrum Disorder

A connection between autism spectrum disorder (ASD) and mevalonate/cholesterol metabolism has been suggested recently. ASD refers to a range of developmental psychiatric disorders characterized by deficits in social communication and interactions, restricted interests and repetitive behaviors that appear during the first two years of life [58].
In the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders [59], the traditional three symptom domains of ASD (i.e., social impairment, communication deficit, and atypical/repetitive behaviors) have been reduced to two, by combining the social and communication symptoms into one single diagnostic criterion of social-communicative deficits. The deficit in the socio-communicative domain appear already at infancy: babies with ASD may show lack or weak response to the parents’ voice, tend to not use their voice to attract attention to themselves, to express emotions or establish contact, and may be unresponsive to social stimuli, avoiding interaction with others. As the children get older, withdrawal from social interactions, indifference to social activities and deficits in social communication become more evident, while the language appear highly impoverished [58,94]. The second symptom domain of ASD includes restricted, repetitive patterns of behaviors, interests or activities [59].
No specific drug treatment is currently available for ASD. In line with the multitude of symptoms displayed by ASD patients, it is not surprising that different etiological components are involved in the pathogenesis of the disease, including genetic and environmental factors [95]. The concordance rate, ranging from 60–95% in monozygotic twins to 2–6% in dizygotic twins, indicates that genetic factors play a key role. Indeed, several single gene mutations, polymorphisms and copy number variations have been associated with ASD. However, the fact that the concordance is less than 100% in monozygotic twins indicates that environmental and epigenetic factors are also involved [96]. Indeed, several prenatal and perinatal risk factors have been identified, including exposure to intrauterine infections, maternal treatment with drugs such as valproic acid and thalidomide, and exposure to toxicants such as organophosphate insecticides or heavy metals [96]. For this reason, ASD is by now considered as a multifactorial disease [95,96,97]. A recent study reveals age- and region-dependent alterations of proteins involved in cholesterol metabolism in the brains of a well-established rat model [54] based on prenatal exposure to valproic acid (VPA) [55]. This includes changes in the activation state of HMGCR and in the levels of several receptors mediating cholesterol uptake and release. Adolescent VPA-exposed rats showed a strong increase of membrane-attached geranylgeranylated RhoA in the cerebellum, a reduced level of the farnesylated Ras in the Nucleus Accumbens and a reduction of oligodendrocytes were observed [55]. Intriguingly, some of these changes were sex-dependent [56,57]. The sex-dependency is in agreement with the dimorphic onset of ASD, which is more frequent in boys than girls with a ratio of 3:1 [98], and with the differences in cholesterol homeostasis between human males and females [23,99]. A prominent sex-dependent change in the brains of VPA-exposed rats concerns LRP1 (LDLR related protein 1) [55,56]. Interestingly, a de novo variant in a canonical splice site of LRP1 has recently been identified in ASD patients [60]. LRP1 is involved in several signaling pathways including cholesterol and lipid metabolism. Defects in this protein result in degeneration of dendritic spines and synapses and in neuroinflammation [100]. These data suggest that genetic variants of LRP1 exert their role in psychiatric diseases impairing more than one pathway. Similarly, other lipoprotein receptors from the same family, such as LRP2 and LRP8, have been implicated in autism and psychosis [60,61]. Taken together, these findings strongly suggest that alterations of MVA pathway and cholesterol metabolism are implicated in the pathogenesis of ASD, altering the availability and distribution of cholesterol and isoprenoids, both necessary for the proper brain function.

5. Rett Syndrome

Rett syndrome (RTT, OMIM #312750) is another disease without a direct link to cholesterol metabolism. However, several recent studies suggest a dysregulation of cholesterol metabolism. RTT.
RTT was first identified by the pediatric neurologist Andreas Rett, upon the observation of identical stereotypies in different female patients. The first examinations led the scientist to believe that symptomatology was primarily associated to metabolic defects: for this reason, this pathology was initially named cerebroatrophic hyperammonaemia in 1966 [62]. Subsequently, the continuous growth of knowledge allowed to better characterize the disorder, which was officially accepted by the whole scientific community after 17 years from its discovery [63]. RTT is a X-linked neurological disorder affecting only female with a prevalence of 1 out of 10,000 live births [64]. The first neuronal symptoms appear at the age of 6–18 months. Their state worsens progressively leading to loss of previously acquired speech and motor skills, and the occurrence of stereotypic hand movements, irregular breathing, difficulties in walking and seizures [65]. In 95% of the cases, RTT is caused by mutations in gene encoding for methyl CpG binding protein 2 (MECP2). This protein plays a key role in gene silencing through methylation-dependent remodeling of chromatin structure, and suppresses gene transcription through the association with several co-repressors [14]. MeCP2 is ubiquitously present. At present, it is unclear, why and how defects in this protein impair neuronal functions. Its level of expression is particularly high in neurons suggesting that it contributes to the establishment and/or maintenance of neuronal maturation and plasticity [66,67]. Besides mutations in MECP2 gene, some individuals develop atypical forms of RTT, which are associated with mutations in X-linked cyclin-dependent kinase-like 5 (CDKL5; OMIM #300203) or Forkhead box G1 (FOXG1; OMIM #164874). Furthermore, several RTT patients still harbor undefined mutations [67]. Individuals affected by RTT display a decrease in brain volume and a concomitant reduction in head circumference [68,69], which are strongly associated to a smaller size of neurons and to an enhanced compaction of cells, particularly at the level of layers III and V of the cerebral cortex, substantia nigra, thalamus, cerebellum, basal ganglia, hippocampus and amygdala [70]. Disruptions at neuronal level also involve a reduction in dendritic arborization [101], and the dysfunction related to synapse physiology represent another hallmark of the disease [71,76]. It is becoming increasingly clear that RTT is deeply associated to important metabolic alterations [67]. For instance, it has been observed that metabolic hormones such as leptin and adiponectin are increased in plasma derived from RTT patients [72,73], and abnormal carbohydrate metabolism is also present in cerebrospinal fluid of RTT individuals [74]. In addition, recent evidence demonstrates that RTT physiopathology is associated to deregulations in cholesterol metabolism.
The first report linking RTT to cholesterol metabolism demonstrated enhanced levels of plasma total cholesterol, LDL (low density lipoprotein)-cholesterol and HDL (High density lipoprotein)-cholesterol in RTT patients, whereas no significant change was observed in the amount of total triglycerydes [102], suggesting that dysbalance in plasma lipid profile is restricted to cholesterol metabolism. In addition, the authors reported a strong reduction of scavenger receptor class B type 1 (SR-B1) expression in fibroblasts derived from RTT patients. This protein mediates the uptake of cholesteryl esters from HDL and LDL particles [102]. Few months after, an independent group showed significant dysregulated expression of genes involved in cholesterol biosynthesis, such as Hmgcr and Squalene Epoxidase (Sqle), in both brains and livers of Mecp2-null mice and a concurrent reduction of cholesterol precursors and a decrease of cholesterol biosynthesis in the brain [77,78,79]. Alterations were also observed in the amount of serum cholesterol derived from Mecp2-null mice, which was significantly increased [77]. A subsequent transcriptome/proteome analysis further corroborated these findings indicating perturbation of cholesterol homeostasis in the brain cortex of Mecp2-null mouse model of RTT [80]. Recent studies provide evidence for and against mevalonate/cholesterol synthesis pathway as valid therapeutic target. Lovastatin significantly improved systemic lipid profile, ameliorated motor behaviors and increased lifespan of Mecp2-null mice [77], whereas a second study performed on Mecp2-deficient mice with a different genetic background show no effect of lovastatin [81]. These results suggest that so far unknown modifiers impact the efficacy of lovastatin treatment on brain functions. Our studies support an involvement of cholesterol metabolism in RTT patients harboring mutations in Mecp2 gene [14,75]. In agreement with other preclinical and clinical data [77,102], we observed a significant increase of total cholesterol and LDL-cholesterol plasma levels, and a decrease of SR-B1 protein expression in primary fibroblasts derived from RTT patients [75]. Importantly, we reported a dramatic reduction in the activity of HMGCR. This finding was intriguingly supported by the fact that cholesterol biosynthesis is reduced in the adult brains of a Mecp2-null mouse strain [77,78]. Together with the reduction in HMGCR activity, we highlighted a concurrent increase in the protein amount of HMGCR in RTT fibroblasts. Other studies indicated that Hmgcr transcripts are increased in the brains of 28-day-old, as well as in the livers of 3- and 8-weeks Mecp2-null mice [67,77]. A rise in LDLR expression was noted in RTT fibroblasts [75]. These changes suggest that low intracellular cholesterol content, as a consequence of HMGCR activity suppression in RTT fibroblasts, induces the classic feedback mechanism with activation of SREBP2 and the increase of its transcriptional targets such as LDLR (LDL receptor) and HMGCR [23,55,103,104,105,106,107]. Furthermore, LDLR increase is also promoted by the decrease in degradative events, as suggested by the fall in Proprotein Convertase Subtilisin/Kexin type 9 (PCSK9, a protein involved in LDLR degradation) plasma levels in RTT individuals [75]. The reduced MVA production could affect the other products of the biosynthetic pathway such as ubiquinone, dolichol and, most importantly prenylation. The putative aberrant content of these molecules could deeply affect cellular physiology, so further investigations are required to better understand their prospective involvement in this disease.

6. Conclusions and Outlook

The MVA/cholesterol pathway is crucial for CNS development and function and consequently, any dysfunction of this fundamental metabolic pathway is likely to provoke pathologic changes in the brain. Mutations in genes directly involved in MVA/cholesterol metabolism cause a range of diseases, many of which present neurologic and psychiatric symptoms (e.g. SLOS, NPC, desmosterolosis). This raises the question whether other diseases presenting similar symptoms are related albeit indirectly to the MVA/cholesterol pathway.
Up to now, there is no direct proof that ASD and RTT are caused by defects in MVA/cholesterol pathway. However, the available data clearly demand new studies to investigate the state of MVA/cholesterol homeostasis in RTT and ASD. This includes more efforts to clarify the reliability of experimental models, and to delve deeper into the role of cholesterol metabolism in this neurological disorders. For instance, it would be interesting to assess whether disruption in cholesterol biosynthesis occurs in atypical RTT patients harboring mutations on genes different from Mecp2. The analysis of different cholesterol precursors and metabolites in the cerebrospinal fluid of RTT patients could be useful in order to provide a more direct estimation of cholesterol metabolism in the brain. Moreover, it is imperative to study in a more general manner whether and how ASD and RTT imply changes in lipid metabolism including fatty acids and phospholipids. Overall, there are first hints that MVA/cholesterol pathway are affected in diseases such as ASD and RTT, but further studies are necessary to address causal links, to identify the underlying mechanisms and the specific brain cell types involved, and finally, to determine whether MVA/cholesterol metabolism is a potential pharmacological targets to treat these devastating diseases.

Funding

This research was funded by PRIN-MIUR, Contract grant number: 2015SHM58M_004 to VP - Departments of Excellence - 2017 - legge 232/2016 - art.1, commi 314–337 awarded to Dept. of Science - University Roma Tre - Rome - Italy for 2018–2022.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

7-DHC7-dehydrocholesterol
24-S-OH24-S hydroxycholestero
ADAlzheimer’s disease
ASDAutism Spectrum Disorder
ABCA1ATP binding cassette 1 protein
CNSCentral Nervous system
CDKL5Cyclin-dependent kinase-like 5
CYP46A1Cholesterol 24-hydroxylase
DHCR717-Dehydrocholesterol reductase
EREndoplasmic reticulum
HDLHigh Density Lipoprotein
HDHuntington’s disease
HMG-CoA3-hydroxy-3-methylglutaryl Coenzyme A
HMGCR3-hydroxy-3-methylglutaryl Coenzyme A reductase
HTTHuntingtin
LDLLow density lipoprotein
LDLRLow density lipoprotein receptor
LRP1LDLR related protein
MeCP2Methyl CpG binding protein 2
MVAMevalonate
NPCNiemann-Pick type C
PCSK9Proprotein Convertase Subtilisin/Kexin type 9
RTTRett syndrome
SLOSSmith–Lemli–Opitz syndrome
SQLESqualene epoxidase
SR-B1Scavenger Receptor class B type 1
SREBP2Sterol Regulatory Element Binding Protein 2
VPAValproic acid

References

  1. Dietschy, J.M.; Turley, S.D. Thematic review series: Brain Lipids. Cholesterol metabolism in the central nervous system during early development and in the mature animal. J. Lipid Res. 2004, 45, 1375–1397. [Google Scholar] [PubMed]
  2. Pfrieger, F.W. Outsourcing in the brain: Do neurons depend on cholesterol delivery by astrocytes? Bioessays 2003, 25, 72–78. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  3. Segatto, M.; Leboffe, L.; Trapani, L.; Pallottini, V. Cholesterol homeostasis failure in the brain: Implications for synaptic dysfunction and cognitive decline. Curr. Med. Chem. 2014, 21, 2788–2802. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  4. Mondal, M.; Mesmin, B.; Mukherjee, S.; Maxfield, F.R. Sterols are mainly in the cytoplasmic leaflet of the plasma membrane and the endocytic recycling compartment in CHO cells. Mol. Biol. Cell 2009, 20, 581–588. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  5. Wang, H. Lipid rafts: A signaling platform linking cholesterol metabolism to synaptic deficits in autism spectrum disorders. Front. Behav. Neurosci. 2014, 8, 104. [Google Scholar] [CrossRef] [Scilit]
  6. Suzuki, T. Lipid rafts at postsynaptic sites: Distribution, function and linkage to postsynaptic density. Neurosci. Res. 2002, 44, 1–9. [Google Scholar] [CrossRef] [Scilit]
  7. Gil, C.; Cubi, R.; Blasi, J.; Aguilera, J. Synaptic proteins associate with a sub-set of lipid rafts when isolated from nerve endings at physiological temperature. Biochem. Biophys. Res. Commun. 2006, 348, 1334–1342. [Google Scholar] [CrossRef] [Scilit]
  8. Allen, J.A.; Halverson-Tamboli, R.A.; Rasenick, M.M. Lipid raft microdomains and neurotransmitter signalling. Nat. Rev. Neurosci. 2007, 8, 128–140. [Google Scholar] [CrossRef] [Scilit]
  9. Wasser, C.R.; Kavalali, E.T. Leaky synapses: Regulation of spontaneous neurotransmission in central synapses. Neuroscience 2009, 158, 177–188. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  10. Mailman, T.; Hariharan, M.; Karten, B. Inhibition of neuronal cholesterol biosynthesis with lovastatin leads to impaired synaptic vesicle release even in the presence of lipoproteins or geranylgeraniol. J. Neurochem. 2011, 119, 1002–1015. [Google Scholar] [CrossRef] [Scilit]
  11. Sooksawate, T.; Simmonds, M.A. Effects of membrane cholesterol on the sensitivity of the GABA(A) receptor to GABA in acutely dissociated rat hippocampal neurones. Neuropharmacology 2001, 40, 178–184. [Google Scholar] [CrossRef] [Scilit]
  12. Mauch, D.H.; Nagler, K.; Schumacher, S.; Goritz, C.; Muller, E.C.; Otto, A.; Pfrieger, F.W. CNS synaptogenesis promoted by glia-derived cholesterol. Science 2001, 294, 1354–1357. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  13. Pfrieger, F.W.; Ungerer, N. Cholesterol metabolism in neurons and astrocytes. Prog. Lipid. Res. 2011, 50, 357–371. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  14. Fracassi, A.; Marangoni, M.; Rosso, P.; Pallottini, V.; Fioramonti, M.; Siteni, S.; Segatto, M. Statins and the Brain: More than Lipid Lowering Agents? Curr. Neuropharmacol. 2019, 17, 59–83. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  15. Trapani, L.; Pallottini, V. Hypercholesterolemia and 3-hydroxy 3-methylglutaryl Coenzyme A reductase regulation during ageing. Sci. World J. 2009, 9, 564–574. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  16. Sever, N.; Yang, T.; Brown, M.S.; Goldstein, J.L.; DeBose-Boyd, R.A. Accelerated degradation of HMG CoA reductase mediated by binding of insig-1 to its sterol-sensing domain. Mol. Cell 2003, 11, 25–33. [Google Scholar] [CrossRef] [Scilit]
  17. Ikonen, E. Mechanisms for cellular cholesterol transport: Defects and human disease. Physiol. Rev. 2006, 86, 1237–1261. [Google Scholar] [CrossRef] [Scilit]
  18. Cartocci, V.; Servadio, M.; Trezza, V.; Pallottini, V. Can Cholesterol Metabolism Modulation Affect Brain Function and Behavior? J. Cell Physiol. 2017, 232, 281–286. [Google Scholar] [CrossRef] [Scilit]
  19. Leoni, V.; Caccia, C. 24S-hydroxycholesterol in plasma: A marker of cholesterol turnover in neurodegenerative diseases. Biochimie 2013, 95, 595–612. [Google Scholar] [CrossRef] [Scilit]
  20. Boussicault, L.; Alves, S.; Lamaziere, A.; Planques, A.; Heck, N.; Moumne, L.; Despres, G.; Bolte, S.; Hu, A.; Pages, C.; et al. CYP46A1, the rate-limiting enzyme for cholesterol degradation, is neuroprotective in Huntington’s disease. Brain 2016, 139, 953–970. [Google Scholar] [CrossRef] [Scilit]
  21. Iuliano, L.; Crick, P.J.; Zerbinati, C.; Tritapepe, L.; Abdel-Khalik, J.; Poirot, M.; Wang, Y.; Griffiths, W.J. Cholesterol metabolites exported from human brain. Steroids 2015, 99, 189–193. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  22. Segatto, M.; Trapani, L.; Lecis, C.; Pallottini, V. Regulation of cholesterol biosynthetic pathway in different regions of the rat central nervous system. Acta. Physiol. (Oxf) 2012, 206, 62–71. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  23. Segatto, M.; Trapani, L.; Marino, M.; Pallottini, V. Age- and sex-related differences in extra-hepatic low-density lipoprotein receptor. J. Cell Physiol. 2011, 226, 2610–2616. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  24. Martin, M.G.; Pfrieger, F.; Dotti, C.G. Cholesterol in brain disease: Sometimes determinant and frequently implicated. EMBO. Rep. 2014, 15, 1036–1052. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  25. Cunniff, C.; Kratz, L.E.; Moser, A.; Natowicz, M.R.; Kelley, R.I. Clinical and biochemical spectrum of patients with RSH/Smith-Lemli-Opitz syndrome and abnormal cholesterol metabolism. Am. J. Med. Genet. 1997, 68, 263–269. [Google Scholar] [CrossRef]
  26. Porter, J.A.; Ekker, S.C.; Park, W.J.; von Kessler, D.P.; Young, K.E.; Chen, C.H.; Ma, Y.; Woods, A.S.; Cotter, R.J.; Koonin, E.V.; et al. Hedgehog patterning activity: Role of a lipophilic modification mediated by the carboxy-terminal autoprocessing domain. Cell 1996, 86, 21–34. [Google Scholar] [CrossRef] [Scilit]
  27. Cooper, M.K.; Porter, J.A.; Young, K.E.; Beachy, P.A. Teratogen-mediated inhibition of target tissue response to Shh signaling. Science 1998, 280, 1603–1607. [Google Scholar] [CrossRef] [Scilit]
  28. Koide, T.; Hayata, T.; Cho, K.W. Negative regulation of Hedgehog signaling by the cholesterogenic enzyme 7-dehydrocholesterol reductase. Development 2006, 133, 2395–2405. [Google Scholar] [CrossRef] [Scilit]
  29. DeBarber, A.E.; Eroglu, Y.; Merkens, L.S.; Pappu, A.S.; Steiner, R.D. Smith-Lemli-Opitz syndrome. Expert. Rev. Mol. Med. 2011, 13, e24. [Google Scholar] [CrossRef] [Scilit]
  30. Wassif, C.A.; Yu, J.; Cui, J.; Porter, F.D.; Javitt, N.B. 27-Hydroxylation of 7- and 8-dehydrocholesterol in Smith-Lemli-Opitz syndrome: A novel metabolic pathway. Steroids 2003, 68, 497–502. [Google Scholar] [CrossRef] [Scilit]
  31. Elias, E.R.; Irons, M.B.; Hurley, A.D.; Tint, G.S.; Salen, G. Clinical effects of cholesterol supplementation in six patients with the Smith-Lemli-Opitz syndrome (SLOS). Am. J. Med. Genet. 1997, 68, 305–310. [Google Scholar] [CrossRef] [Scilit]
  32. Nwokoro, N.A.; Mulvihill, J.J. Cholesterol and bile acid replacement therapy in children and adults with Smith-Lemli-Opitz (SLO/RSH) syndrome. Am. J. Med. Genet. 1997, 68, 315–321. [Google Scholar] [CrossRef] [Scilit]
  33. Ryan, A.K.; Bartlett, K.; Clayton, P.; Eaton, S.; Mills, L.; Donnai, D.; Winter, R.M.; Burn, J. Smith-Lemli-Opitz syndrome: A variable clinical and biochemical phenotype. J. Med. Genet. 1998, 35, 558–565. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  34. Szabo, G.P.; Olah, A.V.; Kozak, L.; Balogh, E.; Nagy, A.; Blahakova, I.; Olah, E. A patient with Smith-Lemli-Opitz syndrome: Novel mutation of the DHCR7 gene and effects of therapy with simvastatin and cholesterol supplement. Eur. J. Pediatr. 2010, 169, 121–123. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  35. Fliesler, S.J.; Xu, L. Oxysterols and Retinal Degeneration in a Rat Model of Smith-Lemli-Opitz Syndrome: Implications for an Improved Therapeutic Intervention. Molecules 2018, 23. [Google Scholar] [CrossRef] [Scilit]
  36. Vanier, M.T.; Millat, G. Niemann-Pick disease type C. Clin. Genet. 2003, 64, 269–281. [Google Scholar] [CrossRef] [Scilit]
  37. Sevin, M.; Lesca, G.; Baumann, N.; Millat, G.; Lyon-Caen, O.; Vanier, M.T.; Sedel, F. The adult form of Niemann-Pick disease type C. Brain 2007, 130, 120–133. [Google Scholar] [CrossRef] [Scilit]
  38. Walterfang, M.; Fietz, M.; Abel, L.; Bowman, E.; Mocellin, R.; Velakoulis, D. Gender dimorphism in siblings with schizophrenia-like psychosis due to Niemann-Pick disease type C. J. Inherit. Metab. Dis. 2009, 32 (Suppl. 1), S221–S226. [Google Scholar] [CrossRef] [Scilit]
  39. Probert, F.; Ruiz-Rodado, V.; Zhang, X.; te Vruchte, D.; Claridge, T.D.; Edgar, M.; Tocchio, A.Z.; Lachmann, R.H.; Platt, F.M.; Grootveld, M. Urinary excretion and metabolism of miglustat and valproate in patients with Niemann-Pick type C1 disease: One- and two-dimensional solution-state (1)H NMR studies. J. Pharm. Biomed. Anal. 2016, 117, 276–288. [Google Scholar] [CrossRef] [Scilit]
  40. Vite, C.H.; Bagel, J.H.; Swain, G.P.; Prociuk, M.; Sikora, T.U.; Stein, V.M.; O’Donnell, P.; Ruane, T.; Ward, S.; Crooks, A.; et al. Intracisternal cyclodextrin prevents cerebellar dysfunction and Purkinje cell death in feline Niemann-Pick type C1 disease. Sci. Transl. Med. 2015, 7, 276ra26. [Google Scholar] [CrossRef] [Scilit]
  41. Demais, V.; Barthelemy, A.; Perraut, M.; Ungerer, N.; Keime, C.; Reibel, S.; Pfrieger, F.W. Reversal of Pathologic Lipid Accumulation in NPC1-Deficient Neurons by Drug-Promoted Release of LAMP1-Coated Lamellar Inclusions. J. Neurosci. 2016, 36, 8012–8025. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  42. Zerenturk, E.J.; Sharpe, L.J.; Ikonen, E.; Brown, A.J. Desmosterol and DHCR24: Unexpected new directions for a terminal step in cholesterol synthesis. Prog. Lipid. Res. 2013, 52, 666–680. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  43. Wang, C.; Wilson, W.A.; Moore, S.D.; Mace, B.E.; Maeda, N.; Schmechel, D.E.; Sullivan, P.M. Human apoE4-targeted replacement mice display synaptic deficits in the absence of neuropathology. Neurobiol. Dis. 2005, 18, 390–398. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  44. Desai, P.; DeKosky, S.T.; Kamboh, M.I. Genetic variation in the cholesterol 24-hydroxylase (CYP46) gene and the risk of Alzheimer’s disease. Neurosci. Lett. 2002, 328, 9–12. [Google Scholar] [CrossRef] [Scilit]
  45. Kolsch, H.; Lutjohann, D.; Ludwig, M.; Schulte, A.; Ptok, U.; Jessen, F.; von Bergmann, K.; Rao, M.L.; Maier, W.; Heun, R. Polymorphism in the cholesterol 24S-hydroxylase gene is associated with Alzheimer’s disease. Mol. Psychiatry 2002, 7, 899–902. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  46. Wollmer, M.A.; Streffer, J.R.; Lutjohann, D.; Tsolaki, M.; Iakovidou, V.; Hegi, T.; Pasch, T.; Jung, H.H.; Bergmann, K.; Nitsch, R.M.; et al. ABCA1 modulates CSF cholesterol levels and influences the age at onset of Alzheimer’s disease. Neurobiol. Aging 2003, 24, 421–426. [Google Scholar] [CrossRef] [Scilit]
  47. Burton, J.K.; Papworth, R.; Haig, C.; McCowan, C.; Ford, I.; Stott, D.J.; Quinn, T.J. Statin Use is Not Associated with Future Long-Term Care Admission: Extended Follow-Up of Two Randomised Controlled Trials. Drugs Aging 2018, 35, 657–663. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  48. Shakour, N.; Bianconi, V.; Pirro, M.; Barreto, G.E.; Hadizadeh, F.; Sahebkar, A. In silico evidence of direct interaction between statins and beta-amyloid. J. Cell Biochem. 2019, 120, 4710–4715. [Google Scholar] [CrossRef] [Scilit]
  49. Trettel, F.; Rigamonti, D.; Hilditch-Maguire, P.; Wheeler, V.C.; Sharp, A.H.; Persichetti, F.; Cattaneo, E.; MacDonald, M.E. Dominant phenotypes produced by the HD mutation in STHdh(Q111) striatal cells. Hum. Mol. Genet. 2000, 9, 2799–2809. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  50. Sipione, S.; Rigamonti, D.; Valenza, M.; Zuccato, C.; Conti, L.; Pritchard, J.; Kooperberg, C.; Olson, J.M.; Cattaneo, E. Early transcriptional profiles in huntingtin-inducible striatal cells by microarray analyses. Hum. Mol. Genet. 2002, 11, 1953–1965. [Google Scholar] [CrossRef] [Scilit]
  51. Valenza, M.; Marullo, M.; Di Paolo, E.; Cesana, E.; Zuccato, C.; Biella, G.; Cattaneo, E. Disruption of astrocyte-neuron cholesterol cross talk affects neuronal function in Huntington’s disease. Cell Death Differ. 2015, 22, 690–702. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  52. Shankaran, M.; Di Paolo, E.; Leoni, V.; Caccia, C.; Ferrari Bardile, C.; Mohammed, H.; Di Donato, S.; Kwak, S.; Marchionini, D.; Turner, S.; et al. Early and brain region-specific decrease of de novo cholesterol biosynthesis in Huntington’s disease: A cross-validation study in Q175 knock-in mice. Neurobiol. Dis. 2017, 98, 66–76. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  53. Valenza, M.; Chen, J.Y.; Di Paolo, E.; Ruozi, B.; Belletti, D.; Ferrari Bardile, C.; Leoni, V.; Caccia, C.; Brilli, E.; Di Donato, S.; et al. Cholesterol-loaded nanoparticles ameliorate synaptic and cognitive function in Huntington’s disease mice. EMBO. Mol. Med. 2015, 7, 1547–1564. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  54. Servadio, M.; Vanderschuren, L.J.; Trezza, V. Modeling autism-relevant behavioral phenotypes in rats and mice: Do ‘autistic’ rodents exist? Behav. Pharmacol. 2015, 26, 522–540. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  55. Cartocci, V.; Catallo, M.; Tempestilli, M.; Segatto, M.; Pfrieger, F.W.; Bronzuoli, M.R.; Scuderi, C.; Servadio, M.; Trezza, V.; Pallottini, V. Altered Brain Cholesterol/Isoprenoid Metabolism in a Rat Model of Autism Spectrum Disorders. Neuroscience 2018, 372, 27–37. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  56. Cartocci, V.; Tonini, C.; Di Pippo, T.; Vuono, F.; Schiavi, S.; Marino, M.; Trezza, V.; Pallottini, V. Prenatal exposure to valproate induces sex-, age-, and tissue-dependent alterations of cholesterol metabolism: Potential implications on autism. J. Cell Physiol. 2019, 234, 4362–4374. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  57. Melancia, F.; Schiavi, S.; Servadio, M.; Cartocci, V.; Campolongo, P.; Palmery, M.; Pallottini, V.; Trezza, V. Sex-specific autistic endophenotypes induced by prenatal exposure to valproic acid involve anandamide signalling. Br. J. Pharmacol. 2018, 175, 3699–3712. [Google Scholar] [CrossRef] [Scilit]
  58. Lai, M.C.; Lombardo, M.V.; Baron-Cohen, S. Autism. Lancet 2014, 383, 896–910. [Google Scholar] [CrossRef] [Scilit]
  59. Regier, D.A.; Kuhl, E.A.; Kupfer, D.J. The DSM-5: Classification and criteria changes. World Psychiatry 2013, 12, 92–98. [Google Scholar] [CrossRef] [Scilit]
  60. Torrico, B.; Shaw, A.D.; Mosca, R.; Vivo-Luque, N.; Hervas, A.; Fernandez-Castillo, N.; Aloy, P.; Bayes, M.; Fullerton, J.M.; Cormand, B.; et al. Truncating variant burden in high-functioning autism and pleiotropic effects of LRP1 across psychiatric phenotypes. J. Psychiatry Neurosci. 2019, 44, 1–10. [Google Scholar]
  61. Ionita-Laza, I.; Makarov, V.; Buxbaum, J.D. Scan-statistic approach identifies clusters of rare disease variants in LRP2, a gene linked and associated with autism spectrum disorders, in three datasets. Am. J. Hum. Genet. 2012, 90, 1002–1013. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  62. Rett, A. On a unusual brain atrophy syndrome in hyperammonemia in childhood. Wien. Med. Wochenschr. 1966, 116, 723–726. [Google Scholar] [PubMed]
  63. Hagberg, B.; Aicardi, J.; Dias, K.; Ramos, O. A progressive syndrome of autism, dementia, ataxia, and loss of purposeful hand use in girls: Rett’s syndrome: Report of 35 cases. Ann. Neurol. 1983, 14, 471–479. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  64. Patankar, J.V. Cholesterol metabolism is a potential therapeutic target for Rett syndrome. Clin. Genet. 2014, 85, 229–230. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  65. Chahrour, M.; Jung, S.Y.; Shaw, C.; Zhou, X.; Wong, S.T.; Qin, J.; Zoghbi, H.Y. MeCP2, a key contributor to neurological disease, activates and represses transcription. Science 2008, 320, 1224–1229. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  66. Jung, B.P.; Jugloff, D.G.; Zhang, G.; Logan, R.; Brown, S.; Eubanks, J.H. The expression of methyl CpG binding factor MeCP2 correlates with cellular differentiation in the developing rat brain and in cultured cells. J. Neurobiol. 2003, 55, 86–96. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  67. Kyle, S.M.; Vashi, N.; Justice, M.J. Rett syndrome: A neurological disorder with metabolic components. Open Biol. 2018, 8. [Google Scholar] [CrossRef] [Scilit]
  68. Jellinger, K.; Seitelberger, F. Neuropathology of Rett syndrome. Am. J. Med. Genet. Suppl. 1986, 1, 259–288. [Google Scholar] [CrossRef] [Scilit]
  69. Jellinger, K.; Armstrong, D.; Zoghbi, H.Y.; Percy, A.K. Neuropathology of Rett syndrome. Acta. Neuropathol. 1988, 76, 142–158. [Google Scholar] [CrossRef] [Scilit]
  70. Armstrong, D.D. The neuropathology of the Rett syndrome. Brain Dev. 1992, 14, S89–S98. [Google Scholar]
  71. Zoghbi, H.Y.; Milstien, S.; Butler, I.J.; Smith, E.O.; Kaufman, S.; Glaze, D.G.; Percy, A.K. Cerebrospinal fluid biogenic amines and biopterin in Rett syndrome. Ann. Neurol. 1989, 25, 56–60. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  72. Acampa, M.; Guideri, F.; Hayek, J.; Blardi, P.; De Lalla, A.; Zappella, M.; Auteri, A. Sympathetic overactivity and plasma leptin levels in Rett syndrome. Neurosci. Lett. 2008, 432, 69–72. [Google Scholar] [CrossRef] [Scilit]
  73. Blardi, P.; De Lalla, A.; D’Ambrogio, T.; Vonella, G.; Ceccatelli, L.; Auteri, A.; Hayek, J. Long-term plasma levels of leptin and adiponectin in Rett syndrome. Clin. Endocrinol. (Oxf) 2009, 70, 706–709. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  74. Matsuishi, T.; Urabe, F.; Percy, A.K.; Komori, H.; Yamashita, Y.; Schultz, R.S.; Ohtani, Y.; Kuriya, N.; Kato, H. Abnormal carbohydrate metabolism in cerebrospinal fluid in Rett syndrome. J. Child. Neurol. 1994, 9, 26–30. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  75. Segatto, M.; Trapani, L.; Di Tunno, I.; Sticozzi, C.; Valacchi, G.; Hayek, J.; Pallottini, V. Cholesterol metabolism is altered in Rett syndrome: A study on plasma and primary cultured fibroblasts derived from patients. PLoS ONE 2014, 9, e104834. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  76. Taneja, P.; Ogier, M.; Brooks-Harris, G.; Schmid, D.A.; Katz, D.M.; Nelson, S.B. Pathophysiology of locus ceruleus neurons in a mouse model of Rett syndrome. J. Neurosci. 2009, 29, 12187–12195. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  77. Buchovecky, C.M.; Turley, S.D.; Brown, H.M.; Kyle, S.M.; McDonald, J.G.; Liu, B.; Pieper, A.A.; Huang, W.; Katz, D.M.; Russell, D.W.; et al. A suppressor screen in Mecp2 mutant mice implicates cholesterol metabolism in Rett syndrome. Nat. Genet. 2013, 45, 1013–1020. [Google Scholar] [CrossRef] [Scilit]
  78. Lopez, A.M.; Chuang, J.C.; Posey, K.S.; Turley, S.D. Suppression of brain cholesterol synthesis in male Mecp2-deficient mice is age dependent and not accompanied by a concurrent change in the rate of fatty acid synthesis. Brain Res. 2017, 1654, 77–84. [Google Scholar] [CrossRef] [Scilit]
  79. Lutjohann, D.; Lopez, A.M.; Chuang, J.C.; Kerksiek, A.; Turley, S.D. Identification of Correlative Shifts in Indices of Brain Cholesterol Metabolism in the C57BL6/Mecp2(tm1.1Bird) Mouse, a Model for Rett Syndrome. Lipids 2018, 53, 363–373. [Google Scholar] [CrossRef] [Scilit]
  80. Pacheco, N.L.; Heaven, M.R.; Holt, L.M.; Crossman, D.K.; Boggio, K.J.; Shaffer, S.A.; Flint, D.L.; Olsen, M.L. RNA sequencing and proteomics approaches reveal novel deficits in the cortex of Mecp2-deficient mice, a model for Rett syndrome. Mol. Autism. 2017, 8, 56. [Google Scholar] [CrossRef] [Scilit]
  81. Villani, C.; Sacchetti, G.; Bagnati, R.; Passoni, A.; Fusco, F.; Carli, M.; Invernizzi, R.W. Lovastatin fails to improve motor performance and survival in methyl-CpG-binding protein2-null mice. Elife 2016, 5, e22409. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  82. Golomb, B.A.; Evans, M.A. Statin adverse effects: A review of the literature and evidence for a mitochondrial mechanism. Am. J. Cardiovasc. Drugs 2008, 8, 373–418. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  83. Jose, M.A.; Anandkumar, S.; Narmadha, M.P.; Sandeep, M. A comparative effect of atorvastatin with other statins in patients of hyperlipidemia. Indian J. Pharmacol. 2012, 44, 261–263. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  84. Reilly, D.; Cham, S.; Golomb, B.A. First-degree relatives with behavioural adverse effects on statins. BMJ. Case Rep. 2011, 2011. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  85. Kim, C.D.; Seguin, M.; Therrien, N.; Riopel, G.; Chawky, N.; Lesage, A.D.; Turecki, G. Familial aggregation of suicidal behavior: A family study of male suicide completers from the general population. Am. J. Psychiatry 2005, 162, 1017–1019. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  86. Ruljancic, N.; Mihanovic, M.; Cepelak, I. Thrombocyte serotonin and serum cholesterol concentration in suicidal and non-suicidal depressed patients. Prog. Neuropsychopharmacol. Biol. Psychiatry 2011, 35, 1261–1267. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  87. De Berardis, D.; Serroni, N.; Campanella, D.; Olivieri, L.; Marini, S.; Moschetta, F.S.; Martinotti, G.; Di Giannantonio, M. Safety and efficacy of combined clozapine-azathioprine treatment in a case of resistant schizophrenia associated with Behcet’s disease: A 2-year follow-up. Gen. Hosp. Psychiatry 2012, 35, 213.e9–213.e11. [Google Scholar] [CrossRef] [Scilit]
  88. Tedders, S.H.; Fokong, K.D.; McKenzie, L.E.; Wesley, C.; Yu, L.; Zhang, J. Low cholesterol is associated with depression among US household population. J. Affect. Disord. 2011, 135, 115–121. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  89. Papakostas, G.I.; Perlis, R.H.; Scalia, M.J.; Petersen, T.J.; Fava, M. A meta-analysis of early sustained response rates between antidepressants and placebo for the treatment of major depressive disorder. J. Clin. Psychopharmacol. 2006, 26, 56–60. [Google Scholar] [CrossRef] [Scilit]
  90. Wysokinski, A.; Strzelecki, D.; Kloszewska, I. Levels of triglycerides, cholesterol, LDL, HDL and glucose in patients with schizophrenia, unipolar depression and bipolar disorder. Diabetes Metab. Syndr. 2015, 9, 168–176. [Google Scholar] [CrossRef] [Scilit]
  91. Nadeau, G.; Larue, G.H. Blood Cholesterol in Schizophrenia. Can. Med. Assoc. J. 1952, 66, 320–323. [Google Scholar] [PubMed]
  92. Goff, D.C.; Sullivan, L.M.; McEvoy, J.P.; Meyer, J.M.; Nasrallah, H.A.; Daumit, G.L.; Lamberti, S.; D’Agostino, R.B.; Stroup, T.S.; Davis, S.; et al. A comparison of ten-year cardiac risk estimates in schizophrenia patients from the CATIE study and matched controls. Schizophr. Res. 2005, 80, 45–53. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  93. Jow, G.M.; Yang, T.T.; Chen, C.L. Leptin and cholesterol levels are low in major depressive disorder, but high in schizophrenia. J. Affect. Disord. 2006, 90, 21–27. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  94. Zachor, D.A.; Curatolo, P. Recommendations for early diagnosis and intervention in autism spectrum disorders: An Italian-Israeli consensus conference. Eur. J. Paediatr. Neurol. 2014, 18, 107–118. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  95. Jeste, S.S.; Geschwind, D.H. Disentangling the heterogeneity of autism spectrum disorder through genetic findings. Nat. Rev. Neurol. 2014, 10, 74–81. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  96. Chaste, P.; Leboyer, M. Autism risk factors: Genes, environment, and gene-environment interactions. Dialogues Clin. Neurosci. 2012, 14, 281–292. [Google Scholar] [PubMed]
  97. DiCicco-Bloom, E.; Lord, C.; Zwaigenbaum, L.; Courchesne, E.; Dager, S.R.; Schmitz, C.; Schultz, R.T.; Crawley, J.; Young, L.J. The developmental neurobiology of autism spectrum disorder. J. Neurosci. 2006, 26, 6897–6906. [Google Scholar] [CrossRef] [Scilit]
  98. Loomes, R.; Hull, L.; Mandy, W.P.L. What Is the Male-to-Female Ratio in Autism Spectrum Disorder? A Systematic Review and Meta-Analysis. J. Am. Acad. Child. Adolesc. Psychiatry 2017, 56, 466–474. [Google Scholar] [CrossRef] [Scilit]
  99. De Marinis, E.; Martini, C.; Trentalance, A.; Pallottini, V. Sex differences in hepatic regulation of cholesterol homeostasis. J. Endocrinol. 2008, 198, 635–643. [Google Scholar] [CrossRef] [Scilit]
  100. Liu, Q.; Trotter, J.; Zhang, J.; Peters, M.M.; Cheng, H.; Bao, J.; Han, X.; Weeber, E.J.; Bu, G. Neuronal LRP1 knockout in adult mice leads to impaired brain lipid metabolism and progressive, age-dependent synapse loss and neurodegeneration. J. Neurosci. 2010, 30, 17068–17078. [Google Scholar] [CrossRef] [Scilit]
  101. Kaufmann, W.E.; Moser, H.W. Dendritic anomalies in disorders associated with mental retardation. Cereb. Cortex. 2000, 10, 981–991. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  102. Sticozzi, C.; Belmonte, G.; Pecorelli, A.; Cervellati, F.; Leoncini, S.; Signorini, C.; Ciccoli, L.; De Felice, C.; Hayek, J.; Valacchi, G. Scavenger receptor B1 post-translational modifications in Rett syndrome. FEBS. Lett. 2013, 587, 2199–2204. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  103. Trapani, L.; Melli, L.; Segatto, M.; Trezza, V.; Campolongo, P.; Jozwiak, A.; Swiezewska, E.; Pucillo, L.P.; Moreno, S.; Fanelli, F.; et al. Effects of myosin heavy chain (MHC) plasticity induced by HMGCoA-reductase inhibition on skeletal muscle functions. FASEB J. 2011, 25, 4037–4047. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  104. Cartocci, V.; Segatto, M.; Di Tunno, I.; Leone, S.; Pfrieger, F.W.; Pallottini, V. Modulation of the Isoprenoid/Cholesterol Biosynthetic Pathway During Neuronal Differentiation In Vitro. J. Cell Biochem. 2016, 117, 2036–2044. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  105. Segatto, M.; Di Giovanni, A.; Marino, M.; Pallottini, V. Analysis of the protein network of cholesterol homeostasis in different brain regions: An age and sex dependent perspective. J. Cell Physiol. 2013, 228, 1561–1567. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  106. Segatto, M.; Manduca, A.; Lecis, C.; Rosso, P.; Jozwiak, A.; Swiezewska, E.; Moreno, S.; Trezza, V.; Pallottini, V. Simvastatin treatment highlights a new role for the isoprenoid/cholesterol biosynthetic pathway in the modulation of emotional reactivity and cognitive performance in rats. Neuropsychopharmacology 2014, 39, 841–854. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  107. Trapani, L.; Segatto, M.; Pallottini, V. New compounds able to control hepatic cholesterol metabolism: Is it possible to avoid statin treatment in aged people? World J. Hepatol. 2013, 5, 676–684. [Google Scholar] [CrossRef] [Scilit]

Article Metrics

Citations

Article Access Statistics

Multiple requests from the same IP address are counted as one view.