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Bazo-Alvarez JC, Nimmons D, Walters K, Petersen I, Schrag A. Risk of Parkinson's disease in people aged ≥50 years with new-onset anxiety: a retrospective cohort study in UK primary care. Br J Gen Pract 2024; 74:e482-e488. [PMID: 38514045 PMCID: PMC11221485 DOI: 10.3399/bjgp.2023.0423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Accepted: 03/14/2024] [Indexed: 03/23/2024] Open
Abstract
BACKGROUND A history of anxiety is more common in people with Parkinson's disease (PD). The prospective risk of PD in those newly presenting with anxiety and factors that increase the risk of PD in patients with anxiety have not been investigated. AIM To investigate the incidence of PD in people with anxiety aged ≥50 years and clinical features associated with later diagnosis of PD in people with anxiety. DESIGN AND SETTING A retrospective cohort study using UK primary care data between 2008 and 2018, assessing patients with new-onset anxiety aged ≥50 years. METHOD Weibull survival regression models were fitted and hazard ratios (HRs) for modelling time-to-PD was estimated in those with and without anxiety, and when determining the risk of developing PD in those with anxiety. Results were adjusted for sociodemographic and lifestyle factors, and relevant physical and mental health conditions. RESULTS The risk of PD increased two-fold compared with the non-anxiety group after adjustment for age, sex, social deprivation, lifestyle factors, severe mental illness, head trauma, and dementia (HR 2.1, 95% confidence interval = 1.9 to 2.4). In those with anxiety, the presence of depression, hypotension, tremor, rigidity, balance impairment, constipation, sleep disturbance, fatigue, and cognitive impairment were associated with an increased risk of developing PD. CONCLUSION The risk of developing PD was at least doubled in people with anxiety compared with those without. The clinical features of those who developed PD can help identify patients presenting with anxiety who are in the prodromal phase of PD.
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Affiliation(s)
- Juan Carlos Bazo-Alvarez
- Research Department of Primary Care and Population Health, Centre for Ageing and Population Studies, UCL, London
| | - Danielle Nimmons
- Research Department of Primary Care and Population Health, Centre for Ageing and Population Studies, UCL, London
| | - Kate Walters
- Research Department of Primary Care and Population Health, Centre for Ageing and Population Studies, UCL, London
| | - Irene Petersen
- Research Department of Primary Care and Population Health, Centre for Ageing and Population Studies, UCL, London
| | - Anette Schrag
- Department of Neurology, Institute of Neurology, UCL, London
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Karunakaran KB, Jain S, Brahmachari SK, Balakrishnan N, Ganapathiraju MK. Parkinson's disease and schizophrenia interactomes contain temporally distinct gene clusters underlying comorbid mechanisms and unique disease processes. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2024; 10:26. [PMID: 38413605 PMCID: PMC10899210 DOI: 10.1038/s41537-024-00439-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 01/24/2024] [Indexed: 02/29/2024]
Abstract
Genome-wide association studies suggest significant overlaps in Parkinson's disease (PD) and schizophrenia (SZ) risks, but the underlying mechanisms remain elusive. The protein-protein interaction network ('interactome') plays a crucial role in PD and SZ and can incorporate their spatiotemporal specificities. Therefore, to study the linked biology of PD and SZ, we compiled PD- and SZ-associated genes from the DisGeNET database, and constructed their interactomes using BioGRID and HPRD. We examined the interactomes using clustering and enrichment analyses, in conjunction with the transcriptomic data of 26 brain regions spanning foetal stages to adulthood available in the BrainSpan Atlas. PD and SZ interactomes formed four gene clusters with distinct temporal identities (Disease Gene Networks or 'DGNs'1-4). DGN1 had unique SZ interactome genes highly expressed across developmental stages, corresponding to a neurodevelopmental SZ subtype. DGN2, containing unique SZ interactome genes expressed from early infancy to adulthood, correlated with an inflammation-driven SZ subtype and adult SZ risk. DGN3 contained unique PD interactome genes expressed in late infancy, early and late childhood, and adulthood, and involved in mitochondrial pathways. DGN4, containing prenatally-expressed genes common to both the interactomes, involved in stem cell pluripotency and overlapping with the interactome of 22q11 deletion syndrome (comorbid psychosis and Parkinsonism), potentially regulates neurodevelopmental mechanisms in PD-SZ comorbidity. Our findings suggest that disrupted neurodevelopment (regulated by DGN4) could expose risk windows in PD and SZ, later elevating disease risk through inflammation (DGN2). Alternatively, variant clustering in DGNs may produce disease subtypes, e.g., PD-SZ comorbidity with DGN4, and early/late-onset SZ with DGN1/DGN2.
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Affiliation(s)
- Kalyani B Karunakaran
- Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore, India.
- Institute for the Advanced Study of Human Biology, Kyoto University, Kyoto, Japan.
| | - Sanjeev Jain
- National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, India.
| | | | - N Balakrishnan
- Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore, India
| | - Madhavi K Ganapathiraju
- Department of Computer Science, Carnegie Mellon University Qatar, Doha, Qatar.
- Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
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3
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Yoon SY, Lee SC, Suh JH, Yang SN, Han K, Kim YW. Different risks of early-onset and late-onset Parkinson disease in individuals with mental illness. NPJ Parkinsons Dis 2024; 10:17. [PMID: 38195604 PMCID: PMC10776668 DOI: 10.1038/s41531-023-00621-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 12/08/2023] [Indexed: 01/11/2024] Open
Abstract
We aimed to investigate the association of various mental illnesses, including depression, bipolar disorder, schizophrenia, insomnia, and anxiety, with the risk of early-onset Parkinson's disease (EOPD) (age <50 years) and compare it with that of late-onset PD (LOPD) (age ≥50 years). This nationwide cohort study enrolled 9,920,522 people who underwent a national health screening examination in 2009, and followed up until 31 December 2018. There was a significantly increased risk of EOPD and LOPD in individuals with mental illness, and EOPD showed a stronger association than LOPD (EOPD, hazard ratio (HR) = 3.11, 95% CI: 2.61‒3.72; LOPD, HR = 1.70, 95% CI: 1.66‒1.74; p for interaction <0.0001). Our results suggest that people with mental illnesses aged < 50 years are at a higher risk of PD than those aged ≥50 years. Future studies are warranted to elucidate the pathomechanism of EOPD in relation to mental illness.
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Affiliation(s)
- Seo Yeon Yoon
- Department and Research Institute of Rehabilitation Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sang Chul Lee
- Department and Research Institute of Rehabilitation Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jee Hyun Suh
- Department of Rehabilitation Medicine, College of Medicine, Ewha Womans University, Seoul, Korea
| | - Seung Nam Yang
- Department of Physical Medicine & Rehabilitation, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea.
| | - Yong Wook Kim
- Department and Research Institute of Rehabilitation Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
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4
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Usenko T, Bezrukova A, Basharova K, Baydakova G, Shagimardanova E, Blatt N, Rizvanov A, Limankin O, Novitskiy M, Shnayder N, Izyumchenko A, Nikolaev M, Zabotina A, Lavrinova A, Kulabukhova D, Nasyrova R, Palchikova E, Zalutskaya N, Miliukhina I, Barbitoff Y, Glotov O, Glotov A, Taraskina A, Neznanov N, Zakharova E, Pchelina S. Altered Sphingolipid Hydrolase Activities and Alpha-Synuclein Level in Late-Onset Schizophrenia. Metabolites 2023; 14:30. [PMID: 38248833 PMCID: PMC10819534 DOI: 10.3390/metabo14010030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 12/20/2023] [Accepted: 12/28/2023] [Indexed: 01/23/2024] Open
Abstract
Recent data described that patients with lysosomal storage disorders (LSDs) may have clinical schizophrenia (SCZ) features. Disruption of lipid metabolism in SCZ pathogenesis was found. Clinical features of schizophrenia (SCZ) have been demonstrated in patients with several lysosomal storage disorders (LSDs). Taking into account the critical role of lysosomal function for neuronal cells' lysosomal dysfunction could be proposed in SCZ pathogenesis. The current study analyzed lysosomal enzyme activities and the alpha-synuclein level in the blood of patients with late-onset SCZ. In total, 52 SCZ patients with late-onset SCZ, 180 sporadic Parkinson's disease (sPD) patients, and 176 controls were recruited. The enzymatic activity of enzymes associated with mucopolysaccharidosis (alpha-L-Iduronidase (IDUA)), glycogenosis (acid alpha-glucosidase (GAA)) and sphingolipidosis (galactosylceramidase (GALC), glucocerebrosidase (GCase), alpha-galactosidase (GLA), acid sphingomyelinase (ASMase)) and concentration of lysosphingolipids (hexosylsphingosine (HexSph), globotriaosylsphingosine (LysoGb3), and lysosphingomyelin (LysoSM)) were measured using LC-MS/MS. The alpha-synuclein level was estimated in magnetically separated CD45+ blood cells using the enzyme-linked immunosorbent assay (ELISA). Additionally, NGS analysis of 11 LSDs genes was conducted in 21 early-onset SCZ patients and 23 controls using the gene panel PGRNseq-NDD. Decreased ASMase, increased GLA activities, and increased HexSpn, LysoGb3, and LysoSM concentrations along with an accumulation of the alpha-synuclein level were observed in late-onset SCZ patients in comparison to the controls (p < 0.05). Four rare deleterious variants among LSDs genes causing mucopolysaccharidosis type I (IDUA (rs532731688, rs74385837) and type III (HGSNAT (rs766835582)) and sphingolipidosis (metachromatic leukodystrophy (ARSA (rs201251634)) were identified in five patients from the group of early-onset SCZ patients but not in the controls. Our findings supported the role of sphingolipid metabolism in SCZ pathogenesis. Aberrant enzyme activities and compounds of sphingolipids associated with ceramide metabolism may lead to accumulation of alpha-synuclein and may be critical in SCZ pathogenesis.
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Affiliation(s)
- Tatiana Usenko
- Department of Molecular Genetic and Nanobiological Technologies Research Center, Pavlov First Saint-Petersburg State Medical University, 197022 Saint Petersburg, Russia; (T.U.); (A.B.); (A.I.); (M.N.); (A.Z.); (D.K.); (I.M.); (A.T.); (S.P.)
- Petersburg Nuclear Physics Institute Named by B.P. Konstantinov of National Research Centre Kurchatov Institute, 188300 Gatchina, Russia (G.B.); (A.L.)
| | - Anastasia Bezrukova
- Department of Molecular Genetic and Nanobiological Technologies Research Center, Pavlov First Saint-Petersburg State Medical University, 197022 Saint Petersburg, Russia; (T.U.); (A.B.); (A.I.); (M.N.); (A.Z.); (D.K.); (I.M.); (A.T.); (S.P.)
- Petersburg Nuclear Physics Institute Named by B.P. Konstantinov of National Research Centre Kurchatov Institute, 188300 Gatchina, Russia (G.B.); (A.L.)
| | - Katerina Basharova
- Petersburg Nuclear Physics Institute Named by B.P. Konstantinov of National Research Centre Kurchatov Institute, 188300 Gatchina, Russia (G.B.); (A.L.)
| | - Galina Baydakova
- Petersburg Nuclear Physics Institute Named by B.P. Konstantinov of National Research Centre Kurchatov Institute, 188300 Gatchina, Russia (G.B.); (A.L.)
- Research Center for Medical Genetics, 115478 Moscow, Russia
| | - Elena Shagimardanova
- Institute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Russia; (E.S.); (N.B.); (A.R.)
| | - Nataliya Blatt
- Institute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Russia; (E.S.); (N.B.); (A.R.)
| | - Albert Rizvanov
- Institute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Russia; (E.S.); (N.B.); (A.R.)
- Division of Medical and Biological Sciences, Tatarstan Academy of Sciences, 420111 Kazan, Russia
| | - Oleg Limankin
- Psychiatric Hospital No. 1 Named after P. P. Kashchenko, 195009 Saint Petersburg, Russia;
- North-Western Medical University Named after P. I.I. Mechnikov of the Ministry of Health of the Russian Federation, 191015 Saint Petersburg, Russia
| | - Maxim Novitskiy
- Center for Personalized Psychiatry and Neurology of the N.N. V.M. Bekhtereva, 192019 Saint Petersburg, Russia; (M.N.); (N.S.); (R.N.); (N.N.)
| | - Natalia Shnayder
- Center for Personalized Psychiatry and Neurology of the N.N. V.M. Bekhtereva, 192019 Saint Petersburg, Russia; (M.N.); (N.S.); (R.N.); (N.N.)
| | - Artem Izyumchenko
- Department of Molecular Genetic and Nanobiological Technologies Research Center, Pavlov First Saint-Petersburg State Medical University, 197022 Saint Petersburg, Russia; (T.U.); (A.B.); (A.I.); (M.N.); (A.Z.); (D.K.); (I.M.); (A.T.); (S.P.)
- Petersburg Nuclear Physics Institute Named by B.P. Konstantinov of National Research Centre Kurchatov Institute, 188300 Gatchina, Russia (G.B.); (A.L.)
| | - Mikhail Nikolaev
- Department of Molecular Genetic and Nanobiological Technologies Research Center, Pavlov First Saint-Petersburg State Medical University, 197022 Saint Petersburg, Russia; (T.U.); (A.B.); (A.I.); (M.N.); (A.Z.); (D.K.); (I.M.); (A.T.); (S.P.)
- Petersburg Nuclear Physics Institute Named by B.P. Konstantinov of National Research Centre Kurchatov Institute, 188300 Gatchina, Russia (G.B.); (A.L.)
| | - Anna Zabotina
- Department of Molecular Genetic and Nanobiological Technologies Research Center, Pavlov First Saint-Petersburg State Medical University, 197022 Saint Petersburg, Russia; (T.U.); (A.B.); (A.I.); (M.N.); (A.Z.); (D.K.); (I.M.); (A.T.); (S.P.)
- Petersburg Nuclear Physics Institute Named by B.P. Konstantinov of National Research Centre Kurchatov Institute, 188300 Gatchina, Russia (G.B.); (A.L.)
| | - Anna Lavrinova
- Petersburg Nuclear Physics Institute Named by B.P. Konstantinov of National Research Centre Kurchatov Institute, 188300 Gatchina, Russia (G.B.); (A.L.)
| | - Darya Kulabukhova
- Department of Molecular Genetic and Nanobiological Technologies Research Center, Pavlov First Saint-Petersburg State Medical University, 197022 Saint Petersburg, Russia; (T.U.); (A.B.); (A.I.); (M.N.); (A.Z.); (D.K.); (I.M.); (A.T.); (S.P.)
- Petersburg Nuclear Physics Institute Named by B.P. Konstantinov of National Research Centre Kurchatov Institute, 188300 Gatchina, Russia (G.B.); (A.L.)
| | - Regina Nasyrova
- Center for Personalized Psychiatry and Neurology of the N.N. V.M. Bekhtereva, 192019 Saint Petersburg, Russia; (M.N.); (N.S.); (R.N.); (N.N.)
| | - Ekaterina Palchikova
- V.M. Bekhterev National Medical Research Center Psychiatry and Neurology, 192019 Saint Petersburg, Russia; (E.P.); (N.Z.)
| | - Natalia Zalutskaya
- V.M. Bekhterev National Medical Research Center Psychiatry and Neurology, 192019 Saint Petersburg, Russia; (E.P.); (N.Z.)
| | - Irina Miliukhina
- Department of Molecular Genetic and Nanobiological Technologies Research Center, Pavlov First Saint-Petersburg State Medical University, 197022 Saint Petersburg, Russia; (T.U.); (A.B.); (A.I.); (M.N.); (A.Z.); (D.K.); (I.M.); (A.T.); (S.P.)
- Petersburg Nuclear Physics Institute Named by B.P. Konstantinov of National Research Centre Kurchatov Institute, 188300 Gatchina, Russia (G.B.); (A.L.)
- Institute of the Human Brain of RAS, 197022 Saint Petersburg, Russia
| | - Yury Barbitoff
- D.O. Ott Research Institute for Obstetrics, Gynecology, and Reproductology, 199034 Saint Petersburg, Russia; (Y.B.); (O.G.); (A.G.)
- Cerbalab Ltd., 197136 Saint Petersburg, Russia
- Bioinformatics Institute, 197342 Saint Petersburg, Russia
| | - Oleg Glotov
- D.O. Ott Research Institute for Obstetrics, Gynecology, and Reproductology, 199034 Saint Petersburg, Russia; (Y.B.); (O.G.); (A.G.)
- Cerbalab Ltd., 197136 Saint Petersburg, Russia
- Pediatric Research and Clinical Center of Infectious Diseases, 197022 Saint Petersburg, Russia
| | - Andrey Glotov
- D.O. Ott Research Institute for Obstetrics, Gynecology, and Reproductology, 199034 Saint Petersburg, Russia; (Y.B.); (O.G.); (A.G.)
- School of Medicine, St. Petersburg State University, 199034 Saint Petersburg, Russia
| | - Anastasia Taraskina
- Department of Molecular Genetic and Nanobiological Technologies Research Center, Pavlov First Saint-Petersburg State Medical University, 197022 Saint Petersburg, Russia; (T.U.); (A.B.); (A.I.); (M.N.); (A.Z.); (D.K.); (I.M.); (A.T.); (S.P.)
- Petersburg Nuclear Physics Institute Named by B.P. Konstantinov of National Research Centre Kurchatov Institute, 188300 Gatchina, Russia (G.B.); (A.L.)
| | - Nikolai Neznanov
- Center for Personalized Psychiatry and Neurology of the N.N. V.M. Bekhtereva, 192019 Saint Petersburg, Russia; (M.N.); (N.S.); (R.N.); (N.N.)
- V.M. Bekhterev National Medical Research Center Psychiatry and Neurology, 192019 Saint Petersburg, Russia; (E.P.); (N.Z.)
| | | | - Sofya Pchelina
- Department of Molecular Genetic and Nanobiological Technologies Research Center, Pavlov First Saint-Petersburg State Medical University, 197022 Saint Petersburg, Russia; (T.U.); (A.B.); (A.I.); (M.N.); (A.Z.); (D.K.); (I.M.); (A.T.); (S.P.)
- Petersburg Nuclear Physics Institute Named by B.P. Konstantinov of National Research Centre Kurchatov Institute, 188300 Gatchina, Russia (G.B.); (A.L.)
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Hearn E. The challenges in managing co-occurring Parkinson's and schizophrenia spectrum disorders. BRITISH JOURNAL OF NURSING (MARK ALLEN PUBLISHING) 2023; 32:996-1002. [PMID: 37938992 DOI: 10.12968/bjon.2023.32.20.996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2023]
Abstract
This article explores the relationship between Parkinson's and schizophrenia spectrum disorders, discussing not only the possibility that they can be comorbid conditions but that the presence of one could increase the chances of developing the other. They are rarely documented together, other than in relation to medication-induced side effects, and this could be due to diagnostic overshadowing, or the widely held belief that these conditions are not able to co-exist. It also briefly discusses treatment options available and gaps identified for future research.
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Sánchez-Valle J, Valencia A. Molecular bases of comorbidities: present and future perspectives. Trends Genet 2023; 39:773-786. [PMID: 37482451 DOI: 10.1016/j.tig.2023.06.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 06/12/2023] [Accepted: 06/12/2023] [Indexed: 07/25/2023]
Abstract
Co-occurrence of diseases decreases patient quality of life, complicates treatment choices, and increases mortality. Analyses of electronic health records present a complex scenario of comorbidity relationships that vary by age, sex, and cohort under study. The study of similarities between diseases using 'omics data, such as genes altered in diseases, gene expression, proteome, and microbiome, are fundamental to uncovering the origin of, and potential treatment for, comorbidities. Recent studies have produced a first generation of genetic interpretations for as much as 46% of the comorbidities described in large cohorts. Integrating different sources of molecular information and using artificial intelligence (AI) methods are promising approaches for the study of comorbidities. They may help to improve the treatment of comorbidities, including the potential repositioning of drugs.
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Affiliation(s)
- Jon Sánchez-Valle
- Life Sciences Department, Barcelona Supercomputing Center, Barcelona, 08034, Spain.
| | - Alfonso Valencia
- Life Sciences Department, Barcelona Supercomputing Center, Barcelona, 08034, Spain; ICREA, Barcelona, 08010, Spain.
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Meesters PD. New horizons in schizophrenia in older people. Age Ageing 2023; 52:afad161. [PMID: 37725971 DOI: 10.1093/ageing/afad161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Indexed: 09/21/2023] Open
Abstract
People aged 65 years and older will soon constitute more than a quarter of the total population with schizophrenia, challenging the existing systems of care. For a long time, research into schizophrenia in later life was very limited. However, recent years have seen an encouraging surge in novel and high-quality studies related to this stage of life. Older people with schizophrenia consist of those who had an early onset and aged with the disorder, and of a smaller but sizeable group with a late onset or a very late onset. With ageing, physical needs gain importance relative to psychiatric needs. Medical comorbidity contributes to a markedly higher mortality compared to the general population. In many persons, symptoms and functioning fluctuate with time, leading to deterioration in some but improvement in others. Of note, a substantial number of older people may experience subjective well-being in spite of ongoing symptoms and social impairments. The majority of individuals with schizophrenia reside in the community, but when institutionalization is required many are placed in residential or nursing homes where staff is often ill-equipped to address their complex needs. There is a clear need for implementation of new models of care in which mental health and general health systems cooperate. This review provides a state-of-the-art overview of current knowledge in late life schizophrenia and related disorders, with a focus on themes with clinical relevance.
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Affiliation(s)
- Paul D Meesters
- Department of Research and Education, Friesland Mental Health Services, Leeuwarden, The Netherlands
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Lee YG, Jeon S, Baik K, Kang SW, Ye BS. Substantia nigral dopamine transporter uptake in dementia with Lewy bodies. NPJ Parkinsons Dis 2023; 9:88. [PMID: 37296236 PMCID: PMC10256694 DOI: 10.1038/s41531-023-00534-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 05/22/2023] [Indexed: 06/12/2023] Open
Abstract
Nigrostriatal dopaminergic degeneration is a pathological hallmark of dementia with Lewy bodies (DLB). To identify the subregional dopamine transporter (DAT) uptake patterns that improve the diagnostic accuracy of DLB, we analyzed N-(3-[18F] fluoropropyl)-2β-carbomethoxy-3β-(4-iodophenyl)-nortropane (FP-CIT) PET in 51 patients with DLB, in 36 patients with mild cognitive impairment with Lewy body (MCI-LB), and in 40 healthy controls (HCs). In addition to a high affinity for DAT, FP-CIT show a modest affinity to serotonin or norepinephrine transporters. Specific binding ratios (SBRs) of the nigrostriatal subregions were transformed to age-adjusted z-scores (zSBR) based on HCs. The diagnostic accuracy of subregional zSBRs were tested using receiver operating characteristic (ROC) curve analyses separately for MCI-LB and DLB versus HCs. Then, the effect of subregional zSBRs on the presence of clinical features and gray matter (GM) density were evaluated in all patients with MCI-LB or DLB as a group. ROC curve analyses showed that the diagnostic accuracy of DLB based on the zSBR of substantia nigra (area under the curve [AUC], 0.90) or those for MCI-LB (AUC, 0.87) were significantly higher than that based on the zSBR of posterior putamen for DLB (AUC, 0.72) or MCI-LB (AUC, 0.65). Lower zSBRs in nigrostriatal regions were associated with visual hallucination, severe parkinsonism, and cognitive dysfunction, while lower zSBR of substantia nigra was associated with widespread GM atrophy in DLB and MCI-LB patients. Taken together, our results suggest that evaluation of nigral DAT uptake may increase the diagnostic accuracy of DLB and MCI-LB than other striatal regions.
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Affiliation(s)
- Young-Gun Lee
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
- Department of Neurology, Ilsan Paik Hospital, Inje University College of Medicine, Goyang, South Korea
| | - Seun Jeon
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
- Brain Research Institute, Yonsei University College of Medicine, Seoul, South Korea
| | - Kyoungwon Baik
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
| | - Sung Woo Kang
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
| | - Byoung Seok Ye
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea.
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Upadhyay N, Tripathi M, Chaddha RK, Ramachandran R, Elavarasi A, Hariprasad G, Elangovan R. Development of sensitive magnetic nanoparticle assisted rapid sandwich assay(s-MARSA) to monitor Parkinson's disease and Schizophrenia pharmacotherapy. Anal Biochem 2023; 667:115082. [PMID: 36796504 DOI: 10.1016/j.ab.2023.115082] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 01/30/2023] [Accepted: 02/10/2023] [Indexed: 02/17/2023]
Abstract
Parkinson's disease and Schizophrenia fall under low dopamine neurodegenerative and high dopamine psychiatric disorders respectively. Pharmacological interventions to correct mid-brain dopamine concentrations sometimes overshoots the physiological dopamine levels leading to psychosis in Parkinson's disease patients and, extra-pyramidal symptoms in schizophrenia patients. Currently no validated method is available to monitor side effects in such patients, Apolipoprotein E is one of the CSF biomarkers identified in the recent past that shows an inverse relation to mid-brain dopamine concentration. In this study, we have developed s-MARSA for the detection of Apolipoprotein E from ultra-small volume (2 μL) of CSF. s-MARSA exhibits a broad detection range (5 fg mL-1 to 4 μg mL-1) with a better detection limit and could be performed within an hour utilizing only a small volume of CSF sample. The values measured by s-MARSA strongly correlates with the values measured by ELISA. Our method has advantages over ELISA in having a lower detection limit, a broader linear detection range, shorter analysis time, and requiring a low volume of CSF samples. The developed s-MARSA method holds promise for the detection of Apolipoprotein E with clinical utility for monitoring pharmacotherapy of Parkinson's and Schizophrenia patients.
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Affiliation(s)
- Neelam Upadhyay
- Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India
| | - Manjari Tripathi
- Department of Neurology, All India Institute of Medical Sciences, New Delhi, India
| | - Rakesh Kumar Chaddha
- Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India
| | - Rashmi Ramachandran
- Department of Anesthesia, All India Institute of Medical Sciences, New Delhi, India
| | | | - Gururao Hariprasad
- Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India.
| | - Ravikrishnan Elangovan
- Department of Biochemical Engineering & Biotechnology, Indian Institute of Technology, New Delhi, India.
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Wu Q, Liu S, Huang X, Liu J, Wang Y, Xiang Y, Tang X, Xu Q, Yan X, Tang B, Guo J. Bidirectional Mendelian randomization study of psychiatric disorders and Parkinson’s disease. Front Aging Neurosci 2023; 15:1120615. [PMID: 36998320 PMCID: PMC10045982 DOI: 10.3389/fnagi.2023.1120615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Accepted: 02/21/2023] [Indexed: 03/18/2023] Open
Abstract
IntroductionAlthough the relationship between psychiatric disorders and Parkinson’s disease (PD) has attracted continuous research attention, the causal linkage between them has not reached a definite conclusion.MethodsTo identify the causal relationship between psychiatric disorders and PD, we used public summary-level data from the most recent and largest genome-wide association studies (GWASs) on psychiatric disorders and PD to conduct a bidirectional two-sample Mendelian randomization (MR). We applied stringent control steps in instrumental variable selection using the Mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) method to rule out pleiotropy. The inverse-variance weighted (IVW) method was used to identify the causal relationship between psychiatric disorders and PD. Multiple MR analysis methods, including MR-Egger, weighted-median, and leave-one-out analyses, were used for sensitivity analysis, followed by heterogeneity tests. Further validation and reverse MR analyses were conducted to strengthen the results of the forward MR analysis.ResultsThe lack of sufficient estimation results could suggest a causal relationship between psychiatric disorders and PD in the forward MR analysis. However, the subsequent reverse MR analysis detected a causal relationship between PD and bipolar disorder (IVW: odds ratios [OR] =1.053, 95% confidence interval [CI] =1.02–1.09, p = 0.001). Further analysis demonstrated a causal relationship between genetically predicted PD and the risk of bipolar disorder subtype. No pleiotropy or heterogeneity was detected in the analyses.DiscussionOur study suggested that while psychiatric disorders and traits might play various roles in the risk of developing PD, PD might also be involved in the risk of developing psychiatric disorders.
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Affiliation(s)
- Qi Wu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, China
| | - Shulin Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xiurong Huang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jiabin Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yige Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yaqing Xiang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xuxiong Tang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, China
| | - Qian Xu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
- Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xinxiang Yan
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Beisha Tang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jifeng Guo
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
- Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
- *Correspondence: Jifeng Guo,
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11
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Periñán MT, Brolin K, Bandres‐Ciga S, Blauwendraat C, Klein C, Gan‐Or Z, Singleton A, Gomez‐Garre P, Swanberg M, Mir P, Noyce A. Effect Modification between Genes and Environment and Parkinson's Disease Risk. Ann Neurol 2022; 92:715-724. [PMID: 35913124 PMCID: PMC9588606 DOI: 10.1002/ana.26467] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 07/26/2022] [Accepted: 07/28/2022] [Indexed: 01/11/2023]
Abstract
Parkinson's disease (PD) is a complex neurodegenerative condition in which genetic and environmental factors interact to contribute to its etiology. Remarkable progress has been made in deciphering disease etiology through genetic approaches, but there is limited data about how environmental and genetic factors interact to modify penetrance, risk, and disease severity. Here, we provide insights into environmental modifiers of PD, discussing precedents from other neurological and non-neurological conditions. Based on these examples, we outline genetic and environmental factors contributing to PD and review potential environmental modifiers of penetrance and clinical variability in monogenic and idiopathic PD. We also highlight the potential challenges and propose how future studies might tackle these important questions. ANN NEUROL 2022;92:715-724.
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Affiliation(s)
- Maria Teresa Periñán
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de SevillaHospital Universitario Virgen del Rocío/CSIC/Universidad de SevillaMadridSpain
| | - Kajsa Brolin
- Translational Neurogenetics Unit, Wallenberg Neuroscience Center, Department of Experimental Medical ScienceLund UniversityLundSweden
| | - Sara Bandres‐Ciga
- Laboratory of Neurogenetics, Molecular Genetics Section, National Institute on AgingNational Institutes of HealthBethesdaMarylandUSA
| | - Cornelis Blauwendraat
- Laboratory of Neurogenetics, Molecular Genetics Section, National Institute on AgingNational Institutes of HealthBethesdaMarylandUSA
| | - Christine Klein
- Institute of Neurogenetics and Department of NeurologyUniversity of Lübeck and University Hospital Schleswig‐HolsteinLübeckGermany
| | - Ziv Gan‐Or
- The Neuro (Montreal Neurological Institute‐Hospital)McGill UniversityMontrealQuebecCanada,Department of Neurology and NeurosurgeryMcGill UniversityMontrealQuebecCanada,Department of Human GeneticsMcGill UniversityMontrealQuebecCanada
| | - Andrew Singleton
- Laboratory of Neurogenetics, Molecular Genetics Section, National Institute on AgingNational Institutes of HealthBethesdaMarylandUSA
| | - Pilar Gomez‐Garre
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de SevillaHospital Universitario Virgen del Rocío/CSIC/Universidad de SevillaMadridSpain
| | - Maria Swanberg
- Translational Neurogenetics Unit, Wallenberg Neuroscience Center, Department of Experimental Medical ScienceLund UniversityLundSweden
| | - Pablo Mir
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de SevillaHospital Universitario Virgen del Rocío/CSIC/Universidad de SevillaMadridSpain
| | - Alastair Noyce
- Department of Clinical and Movement NeurosciencesUCL Queen Square Institute of NeurologyLondonUK,Preventive Neurology Unit, Centre for Prevention, Detection and Diagnosis, Wolfson Institute of Population HealthQueen Mary University of LondonLondonUK
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12
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Decreased Prosaposin and Progranulin in the Cingulate Cortex Are Associated with Schizophrenia Pathophysiology. Int J Mol Sci 2022; 23:ijms231912056. [PMID: 36233357 PMCID: PMC9570388 DOI: 10.3390/ijms231912056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 10/02/2022] [Accepted: 10/05/2022] [Indexed: 11/17/2022] Open
Abstract
Prosaposin (PSAP) and progranulin (PGRN) are two lysosomal proteins that interact and modulate the metabolism of lipids, particularly sphingolipids. Alterations in sphingolipid metabolism have been found in schizophrenia. Genetic associations of PSAP and PGRN with schizophrenia have been reported. To further clarify the role of PSAP and PGRN in schizophrenia, we examined PSAP and PGRN levels in postmortem cingulate cortex tissue from healthy controls along with patients who had suffered from schizophrenia, bipolar disorder, or major depressive disorder. We found that PSAP and PGRN levels are reduced specifically in schizophrenia patients. To understand the role of PSAP in the cingulate cortex, we used an AAV strategy to knock down PSAP in neurons located in this region. Neuronal PSAP knockdown led to the downregulation of neuronal PGRN levels and behavioral abnormalities. Cingulate-PSAP-deficient mice exhibited increased anxiety-like behavior and impaired prepulse inhibition, as well as intact locomotion, working memory, and a depression-like state. The behavioral changes were accompanied by increased early growth response protein 1 (EGR-1) and activity-dependent cytoskeleton-associated protein (ARC) levels in the sensorimotor cortex and hippocampus, regions implicated in circuitry dysfunction in schizophrenia. In conclusion, PSAP and PGRN downregulation in the cingulate cortex is associated with schizophrenia pathophysiology.
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13
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NOS1AP Interacts with α-Synuclein and Aggregates in Yeast and Mammalian Cells. Int J Mol Sci 2022; 23:ijms23169102. [PMID: 36012368 PMCID: PMC9409085 DOI: 10.3390/ijms23169102] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 08/11/2022] [Accepted: 08/11/2022] [Indexed: 11/24/2022] Open
Abstract
The NOS1AP gene encodes a cytosolic protein that binds to the signaling cascade component neuronal nitric oxide synthase (nNOS). It is associated with many different disorders, such as schizophrenia, post-traumatic stress disorder, autism, cardiovascular disorders, and breast cancer. The NOS1AP (also known as CAPON) protein mediates signaling within a complex which includes the NMDA receptor, PSD-95, and nNOS. This adapter protein is involved in neuronal nitric oxide (NO) synthesis regulation via its association with nNOS (NOS1). Our bioinformatics analysis revealed NOS1AP as an aggregation-prone protein, interacting with α-synuclein. Further investigation showed that NOS1AP forms detergent-resistant non-amyloid aggregates when overproduced. Overexpression of NOS1AP was found in rat models for nervous system injury as well as in schizophrenia patients. Thus, we can assume for the first time that the molecular mechanisms underlying these disorders include misfolding and aggregation of NOS1AP. We show that NOS1AP interacts with α-synuclein, allowing us to suggest that this protein may be implicated in the development of synucleinopathies and that its aggregation may explain the relationship between Parkinson’s disease and schizophrenia.
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14
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Xie A, Ensink E, Li P, Gordevičius J, Marshall LL, George S, Pospisilik JA, Aho VTE, Houser MC, Pereira PAB, Rudi K, Paulin L, Tansey MG, Auvinen P, Brundin P, Brundin L, Labrie V, Scheperjans F. Bacterial Butyrate in Parkinson's Disease Is Linked to Epigenetic Changes and Depressive Symptoms. Mov Disord 2022; 37:1644-1653. [PMID: 35723531 PMCID: PMC9545646 DOI: 10.1002/mds.29128] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 05/08/2022] [Accepted: 05/17/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The gut microbiome and its metabolites can impact brain health and are altered in Parkinson's disease (PD) patients. It has been recently demonstrated that PD patients have reduced fecal levels of the potent epigenetic modulator butyrate and its bacterial producers. OBJECTIVES Here, we investigate whether the changes in the gut microbiome and associated metabolites are related to PD symptoms and epigenetic markers in leucocytes and neurons. METHODS Stool, whole blood samples, and clinical data were collected from 55 PD patients and 55 controls. We performed DNA methylation analysis on whole blood samples and analyzed the results in relation to fecal short-chain fatty acid concentrations and microbiota composition. In another cohort, prefrontal cortex neurons were isolated from control and PD brains. We identified genome-wide DNA methylation by targeted bisulfite sequencing. RESULTS We show that lower fecal butyrate and reduced counts of genera Roseburia, Romboutsia, and Prevotella are related to depressive symptoms in PD patients. Genes containing butyrate-associated methylation sites include PD risk genes and significantly overlap with sites epigenetically altered in PD blood leucocytes, predominantly neutrophils, and in brain neurons, relative to controls. Moreover, butyrate-associated methylated-DNA regions in PD overlap with those altered in gastrointestinal (GI), autoimmune, and psychiatric diseases. CONCLUSIONS Decreased levels of bacterially produced butyrate are related to epigenetic changes in leucocytes and neurons from PD patients and to the severity of their depressive symptoms. PD shares common butyrate-dependent epigenetic changes with certain GI and psychiatric disorders, which could be relevant for their epidemiological relation. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Aoji Xie
- Department for Neurodegenerative Science, Parkinson's Disease Center, Van Andel Institute, Grand Rapids, Michigan, USA
| | - Elizabeth Ensink
- Department for Neurodegenerative Science, Parkinson's Disease Center, Van Andel Institute, Grand Rapids, Michigan, USA
| | - Peipei Li
- Department for Neurodegenerative Science, Parkinson's Disease Center, Van Andel Institute, Grand Rapids, Michigan, USA
| | - Juozas Gordevičius
- Department for Neurodegenerative Science, Parkinson's Disease Center, Van Andel Institute, Grand Rapids, Michigan, USA
| | - Lee L Marshall
- Department for Neurodegenerative Science, Parkinson's Disease Center, Van Andel Institute, Grand Rapids, Michigan, USA
| | - Sonia George
- Department for Neurodegenerative Science, Parkinson's Disease Center, Van Andel Institute, Grand Rapids, Michigan, USA
| | | | - Velma T E Aho
- Department of Neurology, Helsinki University Hospital, and Clinicum, University of Helsinki, Helsinki, Finland.,Institute of Biotechnology, DNA Sequencing and Genomics Laboratory, University of Helsinki, Helsinki, Finland
| | - Madelyn C Houser
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, USA.,Department of Physiology, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Pedro A B Pereira
- Department of Neurology, Helsinki University Hospital, and Clinicum, University of Helsinki, Helsinki, Finland.,Institute of Biotechnology, DNA Sequencing and Genomics Laboratory, University of Helsinki, Helsinki, Finland
| | - Knut Rudi
- Faculty of Chemistry, Biotechnology and Food Science (KBM), Norwegian University of Life Sciences, Ås, Norway
| | - Lars Paulin
- Institute of Biotechnology, DNA Sequencing and Genomics Laboratory, University of Helsinki, Helsinki, Finland
| | - Malú G Tansey
- Department of Physiology, Emory University School of Medicine, Atlanta, Georgia, USA.,Department of Neuroscience and Neurology, Center for Translational Research in Neurodegenerative Disease, University of Florida College of Medicine, Gainesville, Florida, USA
| | - Petri Auvinen
- Institute of Biotechnology, DNA Sequencing and Genomics Laboratory, University of Helsinki, Helsinki, Finland
| | - Patrik Brundin
- Department for Neurodegenerative Science, Parkinson's Disease Center, Van Andel Institute, Grand Rapids, Michigan, USA.,Division of Psychiatry and Behavioral Medicine, College of Human Medicine, Michigan State University, Grand Rapids, Michigan, USA
| | - Lena Brundin
- Department for Neurodegenerative Science, Parkinson's Disease Center, Van Andel Institute, Grand Rapids, Michigan, USA.,Division of Psychiatry and Behavioral Medicine, College of Human Medicine, Michigan State University, Grand Rapids, Michigan, USA
| | - Viviane Labrie
- Department for Neurodegenerative Science, Parkinson's Disease Center, Van Andel Institute, Grand Rapids, Michigan, USA.,Division of Psychiatry and Behavioral Medicine, College of Human Medicine, Michigan State University, Grand Rapids, Michigan, USA
| | - Filip Scheperjans
- Department of Neurology, Helsinki University Hospital, and Clinicum, University of Helsinki, Helsinki, Finland
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15
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Chen J, Song L, Yang A, Dong G, Zhao XM. Disrupted long-range gene regulations elucidate shared tissue-specific mechanisms of neuropsychiatric disorders. Mol Psychiatry 2022; 27:2720-2730. [PMID: 35379909 DOI: 10.1038/s41380-022-01529-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 03/03/2022] [Accepted: 03/16/2022] [Indexed: 11/09/2022]
Abstract
Neurological and psychiatric disorders have overlapped phenotypic profiles, but the underlying tissue-specific functional processes remain largely unknown. In this study, we explore the shared tissue-specificity among 14 neuropsychiatric disorders through the disrupted long-range gene regulations by GWAS-identified regulatory SNPs. Through Hi-C interactions, averagely 38.0% and 17.2% of the intergenic regulatory SNPs can be linked to target protein-coding genes in brain and non-brain tissues, respectively. Interestingly, while the regulatory target genes in the brain tend to enrich in nervous system development related processes, those in the non-brain tissues are inclined to interfere with synapse and neuroinflammation related processes. Compared to psychiatric disorders, neurological disorders present more prominently the neuroinflammatory processes in both brain and non-brain tissues, indicating an intrinsic difference in mechanisms. Through tissue-specific gene regulatory networks, we then constructed disorder similarity networks in two brain and three non-brain tissues, highlighting both known disorder clusters (e.g. the neurodevelopmental disorders) and unexpected disorder clusters (e.g. Parkinson's disease is consistently grouped with psychiatric disorders). We showcase the potential pharmaceutical applications of the small bowel and its disorder clusters, illustrated by the known drug targets NR1I3 and NFACT1, and their small bowel-specific regulatory modules. In conclusion, disrupted long-range gene regulations in both brain and non-brain tissues contribute to the similarity among distinct clusters of neuropsychiatric disorders, and the tissue-specifically shared functions and regulators for disease clusters may provide insights for future therapeutic investigations.
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Affiliation(s)
- Jingqi Chen
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China. .,MOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, 200433, China. .,Zhangjiang Fudan International Innovation Center, Shanghai, China.
| | - Liting Song
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China.,MOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, 200433, China
| | - Anyi Yang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China.,MOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, 200433, China
| | - Guiying Dong
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China.,MOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, 200433, China
| | - Xing-Ming Zhao
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China. .,MOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, 200433, China. .,Zhangjiang Fudan International Innovation Center, Shanghai, China.
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16
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Yoritaka A, Hayashi T, Fusegi K, Inami R, Hattori N. Prospective Five-Year Follow-Up of Patients with Schizophrenia Suspected with Parkinson's Disease. PARKINSON'S DISEASE 2022; 2022:2727515. [PMID: 35698464 PMCID: PMC9188471 DOI: 10.1155/2022/2727515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/02/2022] [Revised: 05/04/2022] [Accepted: 05/07/2022] [Indexed: 06/15/2023]
Abstract
OBJECTIVE It is difficult to distinguish patients with schizophrenia with neuroleptic-induced parkinsonism (NIP) from those with existing idiopathic Parkinson's disease when their striatal dopamine transporter uptake is reduced. There is a possibility of misdiagnosis of Parkinson's disease in patients with schizophrenia as schizophrenia with NIP, which leads to inappropriate treatment. This prospective study aimed at determining the underlying pathophysiology using detailed clinical and psychological assessments. METHODS We enrolled six patients with schizophrenia who had parkinsonism and were diagnosed with Parkinson's disease according to the Movement Disorder Society Clinical Diagnostic Criteria, except for the fifth absolute exclusion criteria. RESULTS Five patients had been treated with neuroleptics for 20 years. One patient refused treatment for schizophrenia. All patients had impaired cognitive function at enrolment, olfactory dysfunction, and constipation. All patients were treated with dopaminergic therapy, and their parkinsonism substantially improved; one woman in her 40s experienced a wearing-off effect and dyskinesia. The uptake of dopamine transporter in the striatum decreased by 13%/year during the study period. CONCLUSION Some patients with schizophrenia and parkinsonism benefit from dopaminergic therapy. Some of these patients may also exhibit Lewy pathology.
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Affiliation(s)
- Asako Yoritaka
- Department of Neurology, Juntendo University Koshigaya Hospital, Saitama, Japan
| | - Tetsuo Hayashi
- Department of Neurology, Juntendo University Koshigaya Hospital, Saitama, Japan
- Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan
| | - Keiko Fusegi
- Department of Neurology, Juntendo University Koshigaya Hospital, Saitama, Japan
| | - Rie Inami
- Department of Psychiatry, Juntendo University Koshigaya Hospital, Saitama, Japan
| | - Nobutaka Hattori
- Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan
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17
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Zhang H, Zhou W, Zhang D. Direct Medical Costs of Parkinson's Disease in Southern China: A Cross-Sectional Study Based on Health Insurance Claims Data in Guangzhou City. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19063238. [PMID: 35328925 PMCID: PMC8953775 DOI: 10.3390/ijerph19063238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 03/01/2022] [Accepted: 03/04/2022] [Indexed: 11/16/2022]
Abstract
Background: Parkinson’s disease (PD) is the second most common neurodegenerative disorder. This study aims to evaluate the direct medical costs of patients with PD using a large sample from an entire city and to identity the potential factors correlating with their inpatient costs in Guangzhou City, Southern China. Methods: This retrospective cross-sectional study uses data obtained from the Urban Employee-based Basic Medical Insurance (UEBMI) and the Urban Resident-based Basic Medical Insurance (URBMI) administrative claims databases in Guangzhou City from 2008 to 2012. The total sample was comprised of 2660 patients with PD. Costs were evaluated for the total sample and by types of insurance. The composition of costs was compared between the UEBMI and URBMI subgroups. The extended estimating-equations model was applied to identify the potential impact factors influencing the inpatient costs. Results: The direct medical costs per patient with PD were CNY 14,514.9 (USD 2299.4) in 2012, consisting of inpatient costs of CNY 13,551.4 and outpatient costs of CNY 963.5. The medication costs accounted for the largest part (50.3%). The inpatient costs of PD patients under the UEBMI scheme (CNY 13,651.0) were significantly higher than those of patients in the URBMI subgroup (CNY 12,402.2) (p < 0.05). The proportion of out-of-pocket spending out of inpatient and outpatient costs for UEBMI beneficiaries (24.3% and 56.1%) was much lower than that for patients under the URBMI scheme (47.9% and 76.2%). The regression analysis suggested that types of insurance, age, hospital levels, length of stay (LOS) and comorbidities were significantly correlated with the inpatient costs of patients with PD. Conclusions: The direct medical costs of patients with PD in China were high compared to the GDP per capita in Guangzhou City and different between the two evaluated types of insurance. Patients with the UEBMI scheme, of older age, with comorbidities, staying in tertiary hospitals and with longer LOS had significantly higher inpatient costs. Thus, policymakers need to reduce the gaps between the two urban insurance schemes in benefit levels, provide support for the development of a comprehensive long-term care insurance system and promote the use of telemedicine in China.
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Affiliation(s)
- Hui Zhang
- School of Public Health, Sun Yat-sen University, No. 74, Zhongshan 2nd Road, Guangzhou 510080, China;
- Correspondence:
| | - Wenjing Zhou
- School of Public Health, Sun Yat-sen University, No. 74, Zhongshan 2nd Road, Guangzhou 510080, China;
| | - Donglan Zhang
- Division of Health Services Research, New York University Long Island School of Medicine, Mineola, NY 11501, USA;
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18
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Ouellette J, Lacoste B. From Neurodevelopmental to Neurodegenerative Disorders: The Vascular Continuum. Front Aging Neurosci 2021; 13:749026. [PMID: 34744690 PMCID: PMC8570842 DOI: 10.3389/fnagi.2021.749026] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 09/13/2021] [Indexed: 12/12/2022] Open
Abstract
Structural and functional integrity of the cerebral vasculature ensures proper brain development and function, as well as healthy aging. The inability of the brain to store energy makes it exceptionally dependent on an adequate supply of oxygen and nutrients from the blood stream for matching colossal demands of neural and glial cells. Key vascular features including a dense vasculature, a tightly controlled environment, and the regulation of cerebral blood flow (CBF) all take part in brain health throughout life. As such, healthy brain development and aging are both ensured by the anatomical and functional interaction between the vascular and nervous systems that are established during brain development and maintained throughout the lifespan. During critical periods of brain development, vascular networks remodel until they can actively respond to increases in neural activity through neurovascular coupling, which makes the brain particularly vulnerable to neurovascular alterations. The brain vasculature has been strongly associated with the onset and/or progression of conditions associated with aging, and more recently with neurodevelopmental disorders. Our understanding of cerebrovascular contributions to neurological disorders is rapidly evolving, and increasing evidence shows that deficits in angiogenesis, CBF and the blood-brain barrier (BBB) are causally linked to cognitive impairment. Moreover, it is of utmost curiosity that although neurodevelopmental and neurodegenerative disorders express different clinical features at different stages of life, they share similar vascular abnormalities. In this review, we present an overview of vascular dysfunctions associated with neurodevelopmental (autism spectrum disorders, schizophrenia, Down Syndrome) and neurodegenerative (multiple sclerosis, Huntington's, Parkinson's, and Alzheimer's diseases) disorders, with a focus on impairments in angiogenesis, CBF and the BBB. Finally, we discuss the impact of early vascular impairments on the expression of neurodegenerative diseases.
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Affiliation(s)
- Julie Ouellette
- Ottawa Hospital Research Institute, Neuroscience Program, Ottawa, ON, Canada
- Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Baptiste Lacoste
- Ottawa Hospital Research Institute, Neuroscience Program, Ottawa, ON, Canada
- Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- University of Ottawa Brain and Mind Research Institute, Ottawa, ON, Canada
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19
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Wolf RC, Kubera KM, Waddington JL, Schmitgen MM, Fritze S, Rashidi M, Thieme CE, Sambataro F, Geiger LS, Tost H, Hirjak D. A neurodevelopmental signature of parkinsonism in schizophrenia. Schizophr Res 2021; 231:54-60. [PMID: 33770626 DOI: 10.1016/j.schres.2021.03.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 03/03/2021] [Accepted: 03/08/2021] [Indexed: 12/26/2022]
Abstract
While sensorimotor abnormalities in schizophrenia (SZ) are of increasing scientific interest, little is known about structural changes and their developmental origins that may underlie parkinsonism. This multimodal magnetic resonance imaging (MRI) study examined healthy controls (HC, n = 20) and SZ patients with (SZ-P, n = 38) and without (SZ-nonP, n = 35) parkinsonism, as defined by Simpson-Angus Scale total scores of ≥4 or ≤1, respectively. Using the Computational Anatomy Toolbox (CAT12), voxel- and surface-based morphometry were applied to investigate cortical and subcortical gray matter volume (GMV) and three cortical surface markers of distinct neurodevelopmental origin: cortical thickness (CTh), complexity of cortical folding (CCF) and sulcus depth. In a subgroup of patients (29 SZ-nonP, 25 SZ-P), resting-state fMRI data were also analyzed using a regions-of-interest approach based on fractional amplitude of low frequency fluctuations (fALFF). SZ-P patients showed increased CCF in the left supplementary motor cortex (SMC) and decreased left postcentral sulcus (PCS) depth compared to SZ-nonP patients (p < 0.05, FWE-corrected at cluster level). In SMC, CCF was associated negatively with activity, which also differed significantly between the patient groups and between patients and HC. In regression models, severity of parkinsonism was associated negatively with left middle frontal CCF and left anterior cingulate CTh. These data provide novel insights into altered trajectories of cortical development in SZ patients with parkinsonism. These cortical surface changes involve the sensorimotor system, suggesting abnormal neurodevelopmental processes tightly coupled with cortical activity and subcortical morphology that convey increased risk for sensorimotor abnormalities in SZ.
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Affiliation(s)
- Robert Christian Wolf
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany.
| | - Katharina M Kubera
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - John L Waddington
- School of Pharmacy and Biomolecular Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Mike M Schmitgen
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - Stefan Fritze
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Mahmoud Rashidi
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany; Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Cristina E Thieme
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Fabio Sambataro
- Department of Neuroscience (DNS), University of Padova, Padua, Italy
| | - Lena S Geiger
- Department of Psychiatry and Psychotherapy, Research Group System Neuroscience in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Heike Tost
- Department of Psychiatry and Psychotherapy, Research Group System Neuroscience in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
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