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Yu X, Chen M, Wu J, Song R. Research progress of SIRTs activator resveratrol and its derivatives in autoimmune diseases. Front Immunol 2024; 15:1390907. [PMID: 38962006 PMCID: PMC11219927 DOI: 10.3389/fimmu.2024.1390907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Accepted: 06/06/2024] [Indexed: 07/05/2024] Open
Abstract
Autoimmune diseases (AID) have emerged as prominent contributors to disability and mortality worldwide, characterized by intricate pathogenic mechanisms involving genetic, environmental, and autoimmune factors. In response to this challenge, a growing body of research in recent years has delved into genetic modifications, yielding valuable insights into AID prevention and treatment. Sirtuins (SIRTs) constitute a class of NAD-dependent histone deacetylases that orchestrate deacetylation processes, wielding significant regulatory influence over cellular metabolism, oxidative stress, immune response, apoptosis, and aging through epigenetic modifications. Resveratrol, the pioneering activator of the SIRTs family, and its derivatives have captured global scholarly interest. In the context of AID, these compounds hold promise for therapeutic intervention by modulating the SIRTs pathway, impacting immune cell functionality, suppressing the release of inflammatory mediators, and mitigating tissue damage. This review endeavors to explore the potential of resveratrol and its derivatives in AID treatment, elucidating their mechanisms of action and providing a comprehensive analysis of current research advancements and obstacles. Through a thorough examination of existing literature, our objective is to advocate for the utilization of resveratrol and its derivatives in AID treatment while offering crucial insights for the formulation of innovative therapeutic approaches.
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Affiliation(s)
- Xiaolong Yu
- Jiangsu Key Laboratory of Immunity and Metabolism, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Wujin Hospital Affiliated with Jiangsu University, Changzhou, Jiangsu, China
- The Wujin Clinical College of Xuzhou Medical University, Changzhou, Jiangsu, China
| | - Mingkai Chen
- Wujin Hospital Affiliated with Jiangsu University, Changzhou, Jiangsu, China
| | - Jiabiao Wu
- Wujin Hospital Affiliated with Jiangsu University, Changzhou, Jiangsu, China
| | - Ruixiao Song
- Wujin Hospital Affiliated with Jiangsu University, Changzhou, Jiangsu, China
- The Wujin Clinical College of Xuzhou Medical University, Changzhou, Jiangsu, China
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2
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Kania K, Ambrosius W, Kozubski W, Kalinowska-Łyszczarz A. The impact of disease modifying therapies on cognitive functions typically impaired in multiple sclerosis patients: a clinician's review. Front Neurol 2023; 14:1222574. [PMID: 37503514 PMCID: PMC10368887 DOI: 10.3389/fneur.2023.1222574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Accepted: 06/28/2023] [Indexed: 07/29/2023] Open
Abstract
Objective Over the last few decades clinicians have become aware that cognitive impairment might be a major cause of disability, loss of employment and poor quality of life in patients suffering from multiple sclerosis [MS].The impact of disease modifying therapies [DMTs] on cognition is still a matter of debate. Theoretically, DMTs could exert a substantial beneficial effect by means of reducing neuroinflammation and brain atrophy, which are established correlates of cognitive dysfunction. The aim of the study was to review the evidence concerning the effect of DMTs on cognitive functions. Methods PubMed, Scopus, and the European Committee for Treatment and Research in Multiple Sclerosis [ECTRIMS] Library were searched for articles concerning the pediatric and adult populations of patients with multiple sclerosis, including clinical trials and RWD, where psychometric results were analyzed as secondary or exploratory endpoints. Results We reviewed a total of 44 studies that were found by our search strategy, analyzed the psychological tests that were applied, the length of the follow-up, and possible limitations. We pointed out the difficulties associated with assessing of DMTs' effects on cognitive functions, and pitfalls in cognitive tools used for evaluating of MS patients. Conclusion There is a need to highlight this aspect of MS therapies, and to collect adequate data to make informed therapeutic decisions, to improve our understanding of MS-related cognitive dysfunction and provide new therapeutic targets.
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Affiliation(s)
- Karolina Kania
- Department of Neurology, Poznan University of Medical Sciences, Poznań, Poland
| | - Wojciech Ambrosius
- Department of Neurology, Poznan University of Medical Sciences, Poznań, Poland
| | - Wojciech Kozubski
- Department of Neurology, Poznan University of Medical Sciences, Poznań, Poland
| | - Alicja Kalinowska-Łyszczarz
- Department of Neurology, Division of Neurochemistry and Neuropathology, Poznan University of Medical Sciences, Poznań, Poland
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3
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Su L, Zhuo Z, Duan Y, Huang J, Qiu X, Li M, Liu Y, Zeng X. Structural and Functional Characterization of Gray Matter Alterations in Female Patients With Neuropsychiatric Systemic Lupus. Front Neurosci 2022; 16:839194. [PMID: 35585919 PMCID: PMC9108669 DOI: 10.3389/fnins.2022.839194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Accepted: 04/05/2022] [Indexed: 11/25/2022] Open
Abstract
Objective To investigate morphological and functional alterations within gray matter (GM) in female patients with neuropsychiatric systemic lupus (NPSLE) and to explore their clinical significance. Methods 54 female patients with SLE (30 NPSLE and 24 non-NPSLE) and 32 matched healthy controls were recruited. All subjects received a quantitative MRI scan (FLAIR, 3DT1, resting-state functional MRI). GM volume (GMV), fractional amplitude of low-frequency fluctuation (fALFF), regional homogeneity (ReHo), and degree of centrality (DC) were obtained. Between-group comparison, clinical correlation, and discrimination of NPSLE from non-NPSLE were achieved by voxel-based analysis, cerebellar seed-based functional connectivity analysis, regression analysis, and support vector machine (SVM), respectively. Results Patients with NPSLE showed overt subcortical GM atrophy without significantly abnormal brain functions in the same region compared with controls. The dysfunction within the left superior temporal gyri (L-STG) was found precede the GM volumetric loss. The function of the nodes in default mode network (DMN) and salience network (SN) were weakened in NPSLE patients compared to controls. The function of the cerebellar posterior lobes was significantly activated in non-NPSLE patients but attenuated along with GM atrophy and presented higher connectivity with L-STG and DMN in NPSLE patients, while the variation of the functional activities in the sensorimotor network (SMN) was the opposite. These structural and functional alterations were mainly correlated with disease burden and anti-phospholipid antibodies (aPLs) (r ranges from -1.53 to 1.29). The ReHos in the bilateral cerebellar posterior lobes showed high discriminative power in identifying patients with NPSLE with accuracy of 87%. Conclusion Patients with NPSLE exhibit both structural and functional alterations in the GM of the brain, which especially involved the deep GM, the cognitive, and sensorimotor regions, reflecting a reorganization to compensate for the disease damage to the brain which was attenuated along with pathologic burden and cerebral vascular risk factors. The GM within the left temporal lobe may be one of the direct targets of lupus-related inflammatory attack. The function of the cerebellar posterior lobes might play an essential role in compensating for cortical functional disturbances and may contribute to identifying patients with suspected NPSLE in clinical practice.
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Affiliation(s)
- Li Su
- Department of Rheumatology and Clinical Immunology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Key Laboratory of Rheumatology and Clinical Rheumatology, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Education, Beijing, China
| | - Zhizheng Zhuo
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yunyun Duan
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jing Huang
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xiaolu Qiu
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Mengtao Li
- Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Key Laboratory of Rheumatology and Clinical Rheumatology, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Education, Beijing, China
| | - Yaou Liu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xiaofeng Zeng
- Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Key Laboratory of Rheumatology and Clinical Rheumatology, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Education, Beijing, China
- *Correspondence: Xiaofeng Zeng,
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Kasselman LJ, Renna HA, Voloshyna I, Pinkhasov A, Gomolin IH, Teboul I, De Leon J, Carsons SE, Reiss AB. Cognitive changes mediated by adenosine receptor blockade in a resveratrol-treated atherosclerosis-prone lupus mouse model. J Tradit Complement Med 2022; 12:447-454. [PMID: 36081818 PMCID: PMC9446105 DOI: 10.1016/j.jtcme.2022.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 09/07/2021] [Accepted: 01/29/2022] [Indexed: 10/26/2022] Open
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Monahan RC, Inglese F, Middelkoop H, van Buchem M, Huizinga TW, Kloppenburg M, Ronen I, Steup-Beekman GM, de Bresser J. White matter hyperintensities associate with cognitive slowing in patients with systemic lupus erythematosus and neuropsychiatric symptoms. RMD Open 2021; 7:rmdopen-2021-001650. [PMID: 34321253 PMCID: PMC8320250 DOI: 10.1136/rmdopen-2021-001650] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 07/17/2021] [Indexed: 12/31/2022] Open
Abstract
Objective To compare cognitive function between patients with different phenotypes of neuropsychiatric systemic lupus erythematosus (NPSLE) and assess its association with brain and white matter hyperintensity (WMH) volumes. Methods Patients attending the Leiden University Medical Centre NPSLE clinic between 2007 and 2015 without large brain infarcts were included (n=151; 42±13 years, 91% women). In a multidisciplinary consensus meeting, neuropsychiatric symptoms were attributed to systemic lupus erythematosus (SLE) (NPSLE, inflammatory (n=24) or ischaemic (n=12)) or to minor/non-NPSLE (n=115). Multiple regression analyses were performed to compare cognitive function between NPSLE phenotypes and to assess associations between brain and WMH volumes and cognitive function cross-sectionally. Results Global cognitive function was impaired in 5%, learning and memory (LM) in 46%, executive function and complex attention (EFCA) in 39% and psychomotor speed (PS) in 46% of all patients. Patients with inflammatory NPSLE showed the most cognitive impairment in all domains (p≤0.05). Higher WMH volume associated with lower PS in the total group (B: −0.14 (95% CI −0.32 to −0.02)); especially in inflammatory NPSLE (B: −0.36 (95% CI −0.60 to −0.12). In the total group, lower total brain volume and grey matter volume associated with lower cognitive functioning in all domains (all: 0.00/0.01 (0.00;0.01)) and lower white matter volume associated with lower LM, EFCA and PS (all: 0.00/0.01 (0.00;0.01)). Conclusion We demonstrated that an association between brain and WMH volumes and cognitive function is present in patients with SLE, but differs between (NP)SLE phenotypes. WMHs associated with PS especially in inflammatory NPSLE, which suggests a different, potentially more severe underlying pathophysiological mechanism of cognitive impairment in this phenotype.
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Affiliation(s)
| | - Francesca Inglese
- Department of Radiology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Huub Middelkoop
- Department of Neurology, Leiden University Medical Centre, Leiden, the Netherlands.,Institute of Psychology, Health, Medical and Neuropsychology Unit, Leiden University, Leiden, the Netherlands
| | - Mark van Buchem
- Department of Radiology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Tom Wj Huizinga
- Rheumatology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Margreet Kloppenburg
- Rheumatology, Leiden University Medical Centre, Leiden, the Netherlands.,Department of Clinical Epidemiology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Itamar Ronen
- Department of Radiology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Gerda M Steup-Beekman
- Rheumatology, Leiden University Medical Centre, Leiden, the Netherlands.,Department of Rheumatology, Medisch Centrum Haaglanden, the Hague, the Netherlands
| | - Jeroen de Bresser
- Department of Radiology, Leiden University Medical Centre, Leiden, the Netherlands
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Yuen K, Green R, Bingham K, Ruttan L, Lee-Kim V, Tartaglia MC, Anderson M, Zandy M, Choi MY, Fritzler MJ, Wither JE, Beaton DE, Katz P, Touma Z. Metrics and definitions used in the assessment of cognitive impairment in systemic lupus erythematosus: A systematic review. Semin Arthritis Rheum 2021; 51:819-830. [PMID: 34157577 DOI: 10.1016/j.semarthrit.2021.05.018] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 05/03/2021] [Accepted: 05/31/2021] [Indexed: 11/08/2022]
Abstract
OBJECTIVE To review: 1) degree of conformity to the American College of Rheumatology neuropsychological battery (ACR-NB) among studies that used a NB, 2) review definitions of cognitive impairment (CI) from studies that used a NB, and 3) characterize measurement tools used to assess CI in systemic lupus erythematosus (SLE). METHODS The literature search was conducted in Ovid Medline, Embase, and PsycINFO for articles on CI in adult SLE patients. We reviewed studies that used a NB and compared their tests to the ACR-NB to assess the degree of conformity. Definitions of CI from studies that used a NB were reviewed when sufficient information was available. We reviewed and categorized CI measurement tools into four broad categories: NB, screening, incomplete/mixed batteries, and computerized batteries. RESULTS Of 8727 references, 118 were selected for detailed review and 97 were included in the final analysis. Of 43 studies that used a NB, none of the studies used the ACR-NB exactly as published. Many studies supplemented with other tests. Overall, there was inconsistent use of ACR-NB tests. Definitions for CI varied, with cut-offs ranging from 1 to 3 standard deviations below normative values on domains/tests varying in type and number. The most frequently used measurement tool for assessing CI in SLE was a NB. Use of screening tests and computerized batteries have also increased over the last decade. CONCLUSION The assessment and definition of CI in SLE remains heterogeneous. A consensus meeting to address existing inconsistencies should be considered to harmonize the field of CI in SLE.
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Affiliation(s)
- Kimberley Yuen
- Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital, University of Toronto Lupus Clinic, EW, 1-412, 399 Bathurst Street, Toronto, Ontario, Canada; Queen's University School of Medicine, Kingston, Ontario, Canada
| | - Robin Green
- University Health Network- Toronto Rehabilitation Institute, Toronto, Ontario, Canada
| | - Kathleen Bingham
- University Health Network Centre for Mental Health, Toronto, Ontario, Canada
| | - Lesley Ruttan
- University Health Network- Toronto Rehabilitation Institute, Toronto, Ontario, Canada
| | - Victoria Lee-Kim
- Queen's University School of Medicine, Kingston, Ontario, Canada
| | | | - Melanie Anderson
- Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
| | - Moe Zandy
- Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital, University of Toronto Lupus Clinic, EW, 1-412, 399 Bathurst Street, Toronto, Ontario, Canada
| | - May Y Choi
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Marvin J Fritzler
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Joan E Wither
- Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada
| | | | - Patricia Katz
- University of California at San Francisco, San Francisco, California, USA
| | - Zahi Touma
- Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital, University of Toronto Lupus Clinic, EW, 1-412, 399 Bathurst Street, Toronto, Ontario, Canada.
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Carvalho RH, Real CC, Cinini S, Garcez AT, Duran FL, Marques FL, Mello LE, Busatto Filho G, de Vries EF, de Britto LR, Buchpiguel CA, de Paula Faria D. [11C]PIB PET imaging can detect white and grey matter demyelination in a non-human primate model of progressive multiple sclerosis. Mult Scler Relat Disord 2019; 35:108-115. [DOI: 10.1016/j.msard.2019.07.020] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Revised: 07/08/2019] [Accepted: 07/23/2019] [Indexed: 11/29/2022]
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Kalinowska-Lyszczarz A, Pawlak MA, Pietrzak A, Pawlak-Bus K, Leszczynski P, Puszczewicz M, Paprzycki W, Kozubski W, Michalak S. Distinct regional brain atrophy pattern in multiple sclerosis and neuropsychiatric systemic lupus erythematosus patients. Lupus 2018; 27:1624-1635. [PMID: 29950159 DOI: 10.1177/0961203318781004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Differentiation of systemic lupus erythematosus (SLE) from multiple sclerosis (MS) can be challenging, especially when neuropsychiatric (NP) symptoms are accompanied by white matter lesions in the brain. Given the lack of discriminative power of currently applied tools for their differentiation, there is an unmet need for other measures that can aid in distinguishing between the two autoimmune disorders. In this study we aimed at exploring whether brain atrophy measures could serve as markers differentiating MS and SLE. Thirty-seven relapsing-remitting MS and 38 SLE patients with nervous system manifestations, matched according to age and disease duration, underwent 1.5 Tesla magnetic resonance imaging (MRI), including volumetric sequences, and clinical assessment. Voxelwise analysis was performed using ANTS-SyN elastic registration protocol, FSL Randomise and Gamma methods. Cortical and subcortical segmentation was performed with Freesurfer 5.3 pipeline using T1-weighted MPRAGE sequence data. Using MRI volumetric markers of general and subcortical gray matter atrophy and clinical variables, we built a stepwise multivariable logistic diagnostic model to identify MRI parameters that best differentiate MS and SLE patients. We found that the best volumetric predictors to distinguish them were: fourth ventricle volume (sensitivity 0.86, specificity 0.57, area under the curve, AUC 0.77), posterior corpus callosum (sensitivity 0.81, specificity 0.57, AUC 0.68), and third ventricle to thalamus ratio (sensitivity 0.42, specificity 0.84, AUC 0.65). The same classifiers were identified in a subgroup analysis that included patients with a short disease duration. In MS brain atrophy and lesion load correlated with clinical disability, while in SLE age was the main determinant of brain volume. This study proposes new imaging parameters for differential diagnosis of MS and SLE with central nervous system involvement. We show there is a different pattern of atrophy in MS and SLE, and the key structural volumes that are differentially affected include fourth ventricle and posterior section of corpus callosum, followed by third ventricle to thalamus ratio. Different correlation patterns between volumetric and clinical data may suggest that while in MS atrophy is driven mainly by disease activity, in SLE it is mostly associated with age. However, these results need further replication in a larger cohort.
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Affiliation(s)
- A Kalinowska-Lyszczarz
- 1 Division of Neurochemistry and Neuropathology, Department of Neurology, Poznan University of Medical Sciences, Poznan, Poland
| | - M A Pawlak
- 2 Department of Neurology and Cerebrovascular Disorders, Poznan University of Medical Sciences, Poznan, Poland
| | - A Pietrzak
- 3 Department of Neurology, Poznan University of Medical Sciences, Poznan, Poland
| | - K Pawlak-Bus
- 4 Department of Rheumatology and Rehabilitation, Poznan University of Medical Sciences, Poznan, Poland
| | - P Leszczynski
- 4 Department of Rheumatology and Rehabilitation, Poznan University of Medical Sciences, Poznan, Poland
| | - M Puszczewicz
- 5 Department of Rheumatology and Internal Diseases, Poznan University of Medical Sciences, Poznan, Poland
| | - W Paprzycki
- 6 Department of Neuroradiology, Poznan University of Medical Sciences, Poznan, Poland
| | - W Kozubski
- 3 Department of Neurology, Poznan University of Medical Sciences, Poznan, Poland
| | - S Michalak
- 1 Division of Neurochemistry and Neuropathology, Department of Neurology, Poznan University of Medical Sciences, Poznan, Poland
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