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Research Article | Volume 23 Issue 4 (Oct-Dec, 2024) | Pages 249 - 258
Involvement of neuroimmune mechanisms in the closure of late-life cognitive disorders Sokolova Irina, Sidenkova Alena
 ,
1
Ural State Medical University MD, Dr. Sci (Med.), Head of the Department of Psychiatry, Psychotherapy and Narcology, Russia, Yekaterinburg
2
Ural State Medical University PhD, Assistant of the Department of Psychiatry, Psychotherapy and Narcology Russia, Yekaterinburg
Under a Creative Commons license
Open Access
Received
Nov. 5, 2024
Revised
Nov. 20, 2024
Accepted
Nov. 28, 2024
Published
Dec. 30, 2024
Abstract

Development of treatment methods for late-life cognitive disorders, understanding neuroimmune principles requires their consideration. The authors presented a descriptive review of 81 scientific publications on these topics.

The authors of this study suggest that neuroimmune mechanisms are of great importance in the pathogenesis of late-life cognitive disorders. They participate in the formation and maintenance of neuroinflammation.

Keywords
INTRODUCTION

One of the main features that the understanding of late-life cognitive disorders faces is its multifactorial nature of the mechanisms of their formation, structural and phenomenological diversity, due to the participation of molecular, macromolecular, cellular, neuroimmune, neurological and behavioral processes. Neuroimmune mechanisms in the development of late-life cognitive disorders do not simply reflect the classification of neurodegenerative diseases, they also provide fundamental insight into the etiology and pathogenesis, since they suggest a central role in the initiation of the disease and subsequent progression. Based on a systematic assessment of the literature, this study identified the dysfunction of the neuroimmune system, defining the understanding of neuroinflammation as a mechanism for the formation of neurodegeneration in late-life cognitive disorders through the activation of microglia, the release of provocative cytokines.

 

The aim of our work is to review scientific publications that examine the involvement of neuroimmune factors in the development of cognitive disorders in late life.

MATERIALS AND METHODS

The study materials are presented by publications included in PubMed - an electronic library, a search engine for biomedical literature and eLIBRARY. Each publication was selected using manual search. The depth of the literature search is 10 years. A synthesis of information obtained from the selected sources was carried out. The results of the synthesis of objects are presented in structured text, indicators and tables. Searching by keyword combinations increases the efficiency of publication selection, we conducted a descriptive review of 81 scientific publications. The review included publications that met the inclusion criteria

 

Inclusion criteria:           

  • full-text publications (meta-analyses, original studies, narrative reviews) cited using the keywords “cognitive disorders”, “dementia”, “neuroimmunology”;
  • publications made for the review had to preserve the description, analysis or results of studies that involved patients with late-onset cognitive disorders diagnosed according to the criteria of the International Classification of Diseases, 10th revision (ICD-10) or the Diagnostic and Statistical Manual of Disorders, 5th edition (DSM-5).
RESULTS

The concept of involvement of neuroimmune mechanisms in the development of cognitive disorders in late age.

Developing treatments for late-life cognitive disorders, understanding neuroimmune principles requires their consideration. As the prevalence of cognitive dysfunction continues to increase [1,2], identifying early risk factors is critical for identifying and treating late-life cognitive disorders [3]. According to G.Davies ​​et al. (2018), cognitive function is not as easily measured as, say, height, and is far from standardized, although it is possible to apply a dimensional approach [4, 5].

 

Cognitive disorders are heterogeneous conditions that arise in neurological, somatic and pain diseases. The main causes in old age are various neurodegenerative, cerebrovascular diseases and dysmetabolic disorders, various somatic dysfunctions [6]. Genetic, environmental and behavioral factors together predispose to cognitive disorders, and many biological pathways are involved in this regard, including neuroinflammation, mitochondrial dysfunction and blood-brain barrier disorders [1,7].

 

 Late cognitive disorders are an important modern problem that has a huge impact on the lives of patients, disrupting social and professional functioning [8,9]. The methods of early diagnosis of cognitive disorders are magnetic resonance imaging, positron emission tomography (PET) with fluorodeoxyglucose, PET with amyloid, PET with tau [10, 11], as well as cerebrospinal fluid analysis. However, their use is limited due to high cost, complexity of implementation and invasiveness. Therefore, the search for other informative biomarkers available in clinical practice is a priority task of modern research. The availability and minimally invasiveness of laboratory blood tests meets the requirements of early diagnosis and large-scale prescreening or screening of cognitive disorders in accordance with other research methods [12,13].

 

Traditionally, Alzheimer's disease was considered a proteopathy caused by misfolding and oligomerization of β-amyloid and tau. Today, it is generally recognized that amyloid deposits and neurofibrillary tangles, as well as their precursors and metabolites, poorly correlate with the cognitive stage of the disease and, thus, have low diagnostic or prognostic value [14]. In this regard, immunopathy becomes the leading factor [15, 16, 17, 18, 19]. The results of genetic studies indicate the involvement of the immune system in the pathogenesis of neuropathological changes in Alzheimer's disease, causing dementia [20,21]

 

The study of the immune system of the brain in people with neurodegenerative diseases has advanced rapidly over the past 2 decades [22].

 

The authors analyzed scientific works studying neurodegenerative signs of brain aging. Despite the noticeable similarity in etiology at both the cellular and molecular levels. The following distinctive features were identified (Table 1):

Table 1.

 

Signs of neurodegenerative diseases

Taylor J.P., et al[24]. 

Ling S.C.,et al[25]. 

2016

2013

 

Damage to RNA and DNA

KaushikSetal[26]. 

2015

Disrupted proteostasis

Ransohoff R.M et al[27]. 

2016

Metabolic changes in neuroimmune cells that lead to morphological changes in glial cells and the microenvironment of the neuroimmune system.

Barnham K.J et al [28]. 

Hetz C et al[29].

2004

2017

Oxidative stress and endoplasmic reticulum stress

Richards R.I., et al [30]. 

2018

A chronic condition that has traditionally been viewed as a protective function of the body but is now recognized as a hallmark of neurodegenerative diseases. Chronic conditions can result in focal top cell death as a containment strategy, limiting the ability of pathogens and oncogenic cells to divide and spread.

JorfiM. et al[31]. 

2023

A dramatic increase in T cell and monocyte infiltration is selective in Alzheimer's disease. CD8+ T cell infiltration leads to increased microglial activation and worsening neuroinflammation and neurodegeneration.

Zeng J et al[32]. 

2024

Aging, as a major risk factor for Alzheimer's disease, markedly alters the number and subtypes of T cells, affects BBB function, and changes the brain microenvironment.

 

Neurodegenerative disease has several main principles, the most significant of which is neuroinflammation [33, 34, 35]. Neuroinflammation is a characteristic feature of the brain of people dying from dementia [36, 37]. Neuroinflammation, constantly activated in the activation of microglia and astrocytes, which leads to an increase in the formation of proliferative cytokines and reactive oxygen species, is one of the main principles causing flexible neurons. Although traditionally considered to be almost exclusively a late stage of disease pathogenesis, modern studies show that it can also be an early stage [38, 39, 40, 41].

 

The authors analyzed articles studying the neuroimmune system (Table 2)

 

Table 2.Neuroimmune system

Microglia

1.      Immune cells located in the central nervous system, responsible for central nervous system immune surveillance, regulation of neuronal activity, synaptic maintenance and plasticity [42]. Microglia are dynamic cells that continuously promote self-remodeling and can attack neurons exposed to stress [43]. They play an active role in the central nervous system immune response by producing pro-inflammatory and anti-inflammatory cytokines (microglia subtypes M1 and M2) [44].

Astrocytes

They participate in physiological and pathological processes in the central nervous system [45]. These processes include not only interruptions and fast synapses [46], but also maintenance, pruning and remodeling of synaptic transmission and plasticity [47]. Astrocytes are able to influence several neurotrophic factors that promote differentiation and survival of neurons [48,49]. They regulate the restoration of the nervous system by controlling biochemical processes in the epithelial cells of the blood-brain barrier (BBB) ​​and activate the processes of repair and scarring after the innate immune response [50].

Oligodendrocytes

Provide support, protection and growth of axons [51].

 

Recognizing that the neuroimmune system operates as a complex, interconnected network of cells and signaling pathways that are critical for maintaining nervous system homeostasis, it is clear that disturbances in these components are major contributors to the development of cognitive disorders [44,52, 53].

 

Neuroimmune disorders provide additional heterogeneity in the etiology and neuropathogenicity of cognitive disorders. Thus, neuroimmune interactions are increasingly becoming a major focus of research in neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, and multiple sclerosis [54]. Crosstalk between the brain and the peripheral immune system occurs sequentially either through the blood-brain barrier [55], the choroid plexus [56,57], or through brain circuits [58-60]. Current research suggests that all of these parts of the brain undergo structural and/or biological changes during aging and Alzheimer's disease and may act as gateways for peripheral immune cells to enter the brain. Immunoprofiling studies have shown heterogeneity in microglia [61, 62, 63] and peripheral immune cells including myeloid cells [64], T cells [65, 66] and B cells [60, 67] in Alzheimer's disease. Recent studies have also begun to elucidate the role of peripheral immune cells in brain health and neurodegenerative diseases. However, research into the role of peripheral immune cells in the human brain, which varies across organisms, is still in its early stages. Given the compelling recent evidence implicating the peripheral immune system in the pathogenesis of Alzheimer's disease, future studies are ultimately needed to fully understand the contribution of genetics associated with peripheral immune cell infiltration into the brain to brain health and neurodegenerative diseases [68].

 

The authors reviewed the literature on the impact of the peripheral immune system on cognitive impairment in late life. The data presented provide new insights into the contribution of the peripheral immune system to the pathology of cognitive impairment.

Zeng J. et al. [32] It was noted that T cells interact with key factors such as Aβ and Tau proteins in the pathological background of Alzheimer's disease, triggering inflammatory processes that cause neuronal degeneration, ultimately affecting cognitive function.

 

Bachstetter A.D. et al. [23] Decreased levels of T H 17 cytokines produced by activated T cells were found in women with early cognitive decline, which the authors suggested indicates a systemic immunological stage associated with dementia and with the directions of circulating CD4+ and CD8+ T cells, as well as concentrations of glial fibrillary acidic protein and light neurofilaments.

 

Unger M.S. et al. [69] concluded in their study that CD8+ T cells begin to penetrate the brain in Alzheimer's disease, and new cellular players emerge that control neuronal and synaptic changes. Understanding the precise functional innovations of the CD8+ T cell subset in the brain of patients with Alzheimer's disease may open up new avenues for treatment by modulating the immune system. According to Grayson G.M. et al., study participants with positive amyloid status and mild cognitive impairment had increased numbers of differentiated T cells, myeloid, and plasmacytoid dendritic cells in the blood [70].

 

 In their study, HuizeC. et al. considered that microglia, astrocytes, macrophages, mast cells and T cells are involved in the pathogenesis of Alzheimer's disease through neuroimmune mechanisms and inflammatory processes [33]. on the imbalance of the immune response in the preclinical stages of Alzheimer's disease [71].

In recent years, strong evidence has emerged that immune system dysfunction is a fundamental feature of the pathogenesis and progression of Alzheimer's disease [72]. More importantly, not only the CNS immune process but also the peripheral immune system are altered and interact with the central immune response in Alzheimer's dementia [73]. Thus, a comprehensive analysis of the peripheral immune cell abundance and coordination with the central immune system in Alzheimer's disease, especially at the stage of minimal cognitive decline, provides a deeper understanding of the role of the immune system in the development and progression of the disease and creates a new target for the early diagnosis and treatment of cognitive disorders. 74].

DISCUSSION

The study of the mechanism of pathogenesis of cognitive disorders in old age by modern researchers comes to the conclusion that the manifestations of diseases are the result of the interaction of two opposing processes: the traditionally widely studied neurodegeneration and the structure of brain restoration [75,76,77].

 

It is important to recognize that the pathology of Alzheimer's disease begins a decade or more before the onset of cognitive decline. However, the various therapeutics that target the presymptomatic "initiating" mechanisms of abnormal proteostasis—β-amyloid aggregation and deposition and p-Tau induction by Aβ oligomers—are most often administered at symptom onset, when neuroinflammation has already inundated the affected brain regions. As such therapeutics targeting the proteinopathy associated with Alzheimer's disease fail to improve cognitive symptoms and signs to any significant degree, they are best administered when the pathology of β-amyloid plaques and tangles and glial activation first begins, typically a decade or more before symptoms, in a prophylactic or secondary prevention manner. Human resilient brains, which exhibit abundant levels of plaques and/or tangles in the absence of cognitive changes at death, have shown that accelerated neurodegeneration leading to clinical dementia is preceded by neuroinflammation, microglial activation, release of provocative cytokines and reactive astrocytes [78].

 

The main question that now remains to be answered is whether therapies that target neuroinflammation and neurodegeneration due to neuroinflammation will be more successful in effectively managing the symptoms of Alzheimer's disease than those that target abnormal proteostasis—plaques and tangles—which may be better suited for prevention. Ultimately, successful implementation of interdisciplinary research among experts with disparate and complementary areas of expertise in neuroscience (including computational neuroscience), genetics, immunology, neuroscience, and bioengineering will be necessary to generate a challenging paradigm, a challenge for the successful development of therapies aimed at altering, halting, or reversing the neuroimmunopathogenesis of cognitive disorders [79].

 

Klinkovsky A. et al. 2023 [80] notes that current methods of treating cognitive disorders, despite their effectiveness in slowing down neurodegeneration, do not use the underlying cause, which is the gradual loss of neurons. Therefore, the search for new treatments is crucial. The advent of gene therapy and other innovative treatments provides improved treatment outcomes and quality of life for patients. However, in some cases, it is important to gain a full understanding of the fundamental mechanisms underlying late cognitive decline and recognize their distinctive characteristics before developing new interventions. By targeting the distinctive features of neurodegenerative diseases, it is possible to develop treatments that use the underlying cause of the disease, not just its symptoms.

 

Prospects of modern research and neuroimmune studies in the fight against cognitive disorders of late age.

Understanding the role of the immune system in neurodegenerative diseases has undergone dramatic changes over time. Neuroimmune interactions have come a long way to occupy a central position in the study of late-life cognitive disorders. Despite significant advances in recent years, fundamental questions remain unanswered, with conflicting data regarding immune overactivation, maladaptation, or attrition in neurodegenerative diseases. [81] Thus, promising research directions in developing a neuroimmune concept of late-life cognitive disorders include:

 

  1. To create a valid model of the human neuroimmune axis in the pathogenesis of late-life cognitive disorders.
  2. To assess the influence of peripheral immune cells on microglia activation and include neuroinflammation and neurodegeneration.

 

This review may be of interest to specialists in the field of neuroscience and mental health.

CONCLUSION

The authors of this study suggest that neuroimmune mechanisms in the pathogenesis of late-life cognitive disorders are of great importance, as they provide insight into the neuronal hypothesis and provide insight into the role of novel neuroinflammation in multiple cognitive disorders. A path to a better understanding of the role of the immune system in the pathogenesis of late-life cognitive disorders, with the hope of more effective methods in the future.

 

Acknowledgments

The authors express their deep gratitude to the researchers whose scientific works were cited in the review and analysis.

 

Conflict of interest

The authors have no conflicting interests related to this study.

 

Financial support

The authors reported that this study received no financial support. 

REFERENCE
  1. Hale, J.M. ∙ Schneider, D.C. ∙ Gampe, J. Trends in the risk of cognitive impairment in the United States, 1996–2014.Epidemiology.2020; 31:745-754 [Crossref] [PubMed] [Google Scholar] [Scopus (4)]
  2. Gauthier S., Webster C., Servaes S., et al. World Alzheimer Report 2022: Life after diagnosis: Navigating treatment, care and support. Alzheimer’s Disease International. 2022: 24–41.
  3. Olson CA, Iñiguez AJ, Yang GE, Fang P, Pronovost GN, Jameson KG, Rendon TK, Paramo J, Barlow JT, Ismagilov RF, Hsiao EY. Alterations in the gut microbiota contribute to cognitive impairment induced by the ketogenic diet and hypoxia. Cell Host Microbe. 2021 Sep 8;29(9):1378-1392.e6. doi: 10.1016/j.chom.2021.07.004. Epub 2021 Aug 5. PMID: 34358434; PMCID: PMC8429275.
  4. Davies G, Lam M, Harris SE, et. al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nat Commun. 2018 May 29;9(1):2098. doi: 10.1038/s41467-018-04362-x. Erratum in: Nat Commun. 2019 May 1;10(1):2068. doi: 10.1038/s41467-019-10160-w. PMID: 29844566; PMCID: PMC5974083
  5. Sidenkova A.P. Appropriateness of using a dimensional approach to studying severe cognitive disorders of late age (article) // Ural Medical Journal No. 12 (168) 18. P5-12
  6. Myakotnykh V.S., Sidenkova A.P. Age-associated disorders of cognitive functions and intestinal microbiota: the state of the issue and prospects for further study // Advances in Gerontology. 2020. Vol. 33. No. 6. P. 1069-1079.
  7. Sidenkova A.P., Myakotnykh V.S., Voroshilina E.S., Melnik A.A., Borovkova T.A., Proshchenko D.A. Mechanisms of influence of intestinal microbiota on the processes of central nervous system aging and the formation of cognitive disorders in Alzheimer's disease. PSYCHIATRY. 2022;20(3):98-111. https://doi.org/10.30629/2618-6667-2022-20-3-98-111.
  8. Myakotnykh V.S., Sidenkova A.P., Kravchenko E.S., Borovkova T.A., Khromtsova O.M., Meshchannikov V.N. Somatic pathology in elderly and senile individuals suffering from Alzheimer's disease and Alzheimer's type dementia // Advances in Gerontology. 2023. Vol. 36. No. 2. P. 256-265.
  9. Sweeney, M.D. ∙ Sagare, A.P. ∙ Zlokovic, B.V.Blood-brainbarrierbreakdowninAlzheimerdiseaseandotherneurodegenerative disorders. Rev. Neurol.2018; 14:133-150. [Crossref] [Scopus (667)] [PubMed] [Google Scholar].
  10. Chapleau M, Iaccarino L, Soleimani‐Meigooni D, Rabinovici GD. The role of amyloid PET in imaging neurodegenerative disorders: a review. J Nucl Med Off PublSocNucl Med. 2022;63:13S‐19S. doi: 10.2967/jnumed.121.263195 [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  11. Groot C, Villeneuve S, Smith R, Hansson O, Ossenkoppele R. Tau PET imaging in neurodegenerative disorders. J Nucl Med Off PublSocNucl Med. 2022;63:20S‐26S. doi: 10.2967/jnumed.121.263196 [PubMed] [CrossRef] [Google Scholar]
  12. Kovalenko E.A., Makhnovich E.V., Pervunina A.V., et al. Blood biomarkers in the early diagnosis of Alzheimer's disease. Effectivepharmacotherapy. 2023; 19 (45): 30–36. DOI 10.33978/2307-3586-2023-19-45-30-36.
  13. Bazarnyy V.V., Sidenkova A.P., Sosnin D.Yu. Oral fluid lactoferrin in normal conditions and in Alzheimer's disease: laboratory and diagnostic aspects (literature review)// Clinical laboratory diagnostics. Vol. 67. 2022. No. 4. P.207-213.
  14. 14.Bartolotti N., Lazarov O.CREB signals as PBMC-based biomarkers of cognitive dysfunction: A novel perspective of the brain-immune axis. Brain Behav Immun. 2019 May:78:9-20.. doi:10.1016/j.bbi.2019.01.004. Epub.2019 Jan 12. [PMID: 30641141] [PMCID: PMC6488430] [DOI: 1016/j.bbi.2019.01.004]
  15. Katsel P., Haroutunian V. Is Alzheimer disease a failure of mobilizing immune defense? Lessons from cognitively fit oldest-old. Dialogues Clin. Neurosci. 2019;21:7–19. doi: 10.31887/DCNS.2019.21.1/vharoutunian. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  16. Wu K.M., Zhang Y.R., Huang Y.Y., Dong Q., Tan L., Yu J.T. The role of the immune system in Alzheimer’s disease. Ageing Res. Rev. 2021;70:101409. doi: 10.1016/j.arr.2021.101409. [PubMed] [CrossRef] [Google Scholar]
  17. Frost G.R., Jonas L.A., Li Y.M. Friend, Foe or Both? Immune Activity in Alzheimer’s disease.  Aging Neurosci. 2019;11:337. doi: 10.3389/fnagi.2019.00337. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  18. Jorfi M., Maaser-Hecker A., Tanzi R.E. The neuroimmune axis of Alzheimer’s disease. Genome Med. 2023;15:6. doi: 10.1186/s13073-023-01155-w. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  19. PrinciottaCariddi L., Mauri M., Cosentino M., Versino M., Marino F. Alzheimer’s disease: From Immune Homeostasis to Neuroinflammatory Condition.  J. Mol. Sci. 2022;23:13008. doi: 10.3390/ijms232113008. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  20. Kunkle BW, Grenier-Boley B, Sims R, et al.. Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing. Nat Genet. 2019;51(3):414–430. [PMC free article] [PubMed] [Google Scholar]
  21. Pimenova AA, Raj T, Goate AM. Untangling genetic risk for Alzheimer’s disease. Biol Psychiatry. 2018;83(4):300–310. [PMC free article] [PubMed] [Google Scholar]
  22. Leng F, Edison P. Neuroinflammation and microglial activation in Alzheimer disease: Where do we go from here? Nat Rev Neurol. 2021;17(3):157–172. [PubMed] [Google Scholar])
  23. Bachstetter A.D., Jenny Lutshumba, EdricWinford, Erin L. Abner, Barbra J. Martin,3Jordan P. Harp, Linda J. Van Eldik, Frederick A. Schmitt, Donna M. Wilcock, Ann M. Stowe, Gregory A. Jicha and Barbara S. Nikolajczyk. A blunted TH17 cytokine signature in women with mild cognitive impairment: insights from inflammatory profiling of a community-based cohort of older adults. Brain Commun.2023; 5(5): fcad259.Published online 2023 .Oct 7. doi: 10.1093/braincomms/fcad259 PMCID: PMC10612408 PMID: 37901041
  24. Taylor J.P., Brown R.H., Cleveland D.W. Decoding ALS: From Genes to Mechanism. 2016;539:197–206. doi: 10.1038/nature20413. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  25. Ling S.C., Polymenidou M., Cleveland D.W. Converging Mechanisms in Als and FTD: Disrupted RNA and Protein Homeostasis. 2013;79:416–438. doi: 10.1016/j.neuron.2013.07.033. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  26. Kaushik S., Cuervo A.M. Proteostasis and Aging.  Med. 2015;21:1406–1415. doi: 10.1038/nm.4001. [PubMed] [CrossRef] [Google Scholar]
  27. Ransohoff R.M. Ransohoff2016. 2016;353:168–175. [Google Scholar]
  28. Barnham K.J., Masters C.L., Bush A.I. Neurodegenerative Diseases and Oxidatives Stress.  Rev. Drug Discov. 2004;3:205–214. doi: 10.1038/nrd1330. [PubMed] [CrossRef] [Google Scholar]
  29. Hetz C., Saxena S. ER Stress and the Unfolded Protein Response in Neurodegeneration.  Rev. Neurol. 2017;13:477–491. doi: 10.1038/nrneurol.2017.99. [PubMed] [CrossRef] [Google Scholar]
  30. Richards R.I., Robertson S.A., Kastner D.L. Neurodegenerative Diseases Have Genetic Hallmarks of Autoinflammatory Disease.  Mol. Genet. 2018;27:R108–R118. doi: 10.1093/hmg/ddy139. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  31. Jorfi M, Park J, Hall CK, Lin CJ, Chen M, von Maydell D, Kruskop JM, Kang B, Choi Y, Prokopenko D, Irimia D, Kim DY, Tanzi RE. Infiltrating CD8+T cells exacerbate Alzheimer's disease pathology in a 3D human neuroimmune axis model. Nat Neurosci. 2023 Sep;26(9):1489-1504. doi: 10.1038/s41593-023-01415-3. Epub 2023 Aug 24. PMID: 37620442; PMCID: PMC11184920.
  32. Zeng J, Liao Z, Yang H, Wang Q, Wu Z, Hua F, Zhou Z. T cell infiltration mediates neurodegeneration and cognitive decline in Alzheimer's disease. Neurobiol Dis. 2024 Apr;193:106461. doi: 10.1016/j.nbd.2024.106461. Epub 2024 Mar 2. PMID: 38437992.
  33. Chen H., Chujun Deng,,ZeyuMeng , ShengxiMeng. Research Progress of Targeting Neuro-Immune Inflammation in the Treatment of Alzheimer’s Disease. Front. Biosci. (Landmark Ed) 2022;27(11): 312 https://doi.org/10.31083/j.fbl2711312.
  34. Schwartz M., Deczkowska A. Neurological Disease as a Failure of Brain–Immune Crosstalk: The Multiple Faces of Neuroinflammation. Trends Immunol. 2016;37:668–679. doi: 10.1016/j.it.2016.08.001. [PubMed] [CrossRef] [Google Scholar]
  35. Heneka M.T., Carson M.J., El Khoury J., Landreth G.E., Brosseron F., Feinstein D.L., Jacobs A.H., Wyss-Coray T., Vitorica J., Ransohoff R.M. Neuroinflammation in Alzheimer’s Disease. Lancet Neurol. 2015;14:388–405. doi: 10.1016/S1474-4422(15)70016-5. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  36. Andreasson KI, Bachstetter AD, Colonna M, et al.. Targeting innate immunity for neurodegenerative disorders of the central nervous system. J Neurochem. 2016;138(5):653–693. [PMC free article] [PubMed] [Google Scholar]
  37. Heneka MT, Carson MJ, El Khoury J, et al.. Neuroinflammation in Alzheimer’s disease. Lancet Neurol. 2015;14(4):388–405. [PMC free article] [PubMed] [Google Scholar
  38. Beers D.R., Appel S.H. Immune Dysregulation in Amyotrophic Lateral Sclerosis: Mechanisms and Emerging Therapies. Lancet Neurol. 2019;18:211–220. doi: 10.1016/S1474-4422(18)30394-6. [PubMed] [CrossRef] [Google Scholar]
  39. Béland L.-C., Markovinovic A., Jakovac H., de Marchi F., Bilic E., Mazzini L., Kriz J., Munitic I. Immunity in Amyotrophic Lateral Sclerosis: Blurred Lines between Excessive Inflammation and Inefficient Immune Responses. Brain Commun. 2020;2:fcaa124. doi: 10.1093/braincomms/fcaa124. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  40. De Marchi F., Franjkic T., Schito P., Russo T., Nimac J., Chami A.A., Mele A., Vidatic L., Kriz J., Julien J.-P. Emerging Trends in the Field of Inflammation and Proteinopathy in ALS/FTD Spectrum Disorder. 2023;11:1599. doi: 10.3390/biomedicines11061599. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  41. De Marchi F, Munitic I, Vidatic L, Papić E, Rački V, Nimac J, Jurak I, Novotni G, Rogelj B, Vuletic V, Liscic RM, Cannon JR, Buratti E, Mazzini L, Hecimovic S. Overlapping Neuroimmune Mechanisms and Therapeutic Targets in Neurodegenerative Disorders. Biomedicines. 2023 Oct 14;11(10):2793. doi: 10.3390/biomedicines11102793. PMID: 37893165; PMCID: PMC10604382.
  42. 42 Tay TL, Savage JC, Hui CW, Bisht K, Tremblay MÈ. Microglia across the lifespan: from origin to function in brain development, plasticity and cognition. J Physiol. 2017;595((6)):1929–1945. [PMC free article] [PubMed] [Google Scholar]
  43. Tremblay ME, Madore C, Bordeleau M, Tian L, Verkhratsky A. Neuropathobiology of COVID-19: the role for glia. Front Cell Neurosci. 2020 Nov;14:592214. [PMC free article] [PubMed] [Google Scholar]
  44. Appel S.H., Zhao W., Beers D.R., Henkel J.S. The Microglial-Motoneuron Dialogue in ALS. 2011;30:4–8. [PMC free article] [PubMed] [Google Scholar]
  45. Han RT, Kim RD, Molofsky AV, Liddelow SA. Astrocyte-immune cell interactions in physiology and pathology. 2021 Feb;54((2)):211–224. [PubMed] [Google Scholar]
  46. Wang Y, Fu AKY, Ip NY. Instructive roles of astrocytes in hippocampal synaptic plasticity: neuronal activity-dependent regulatory mechanisms. FEBS J. 2021 Apr;289((8)):2202–2218. [PMC free article] [PubMed] [Google Scholar]
  47. Wang Y, Fu WY, Cheung K, Hung KW, Chen C, Geng H, et al. Astrocyte-secreted IL-33 mediates homeostatic synaptic plasticity in the adult hippocampus. ProcNatlAcadSci U S A. 2021 Jan;118((1)):e2020810118. [PMC free article] [PubMed] [Google Scholar]
  48. Escartin C, Galea E, Lakatos A, O'Callaghan JP, Petzold GC, Serrano-Pozo A, et al. Reactive astrocyte nomenclature, definitions, and future directions. Nat Neurosci. 2021;24((3)):312–325. [PMC free article] [PubMed] [Google Scholar]
  49. Joaquim L, Della Giustina A, Machado RS, Metzker KLL, Bonfante S, Danielski LG, Goldim MPS, Petronilho F. The Infected Lungs and Brain Interface in COVID-19: The Impact on Cognitive Function. Neuroimmunomodulation. 2022;29(4):269-281. doi: 10.1159/000526653. Epub 2022 Nov 2. PMID: 36323239; PMCID: PMC9747745.
  50. Phatnani H., Maniatis T. Astrocytes in Neurodegenerative Disease. Cold Spring Harb. Perspect. Biol. 2015;7:a020628. doi: 10.1101/cshperspect.a020628. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  51. Han S., Gim Y., Jang E.H., Hur E.M. Functions and Dysfunctions of Oligodendrocytes in Neurodegenerative Diseases.  Cell. Neurosci. 2022;16:1083159. doi: 10.3389/fncel.2022.1083159. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  52. Colonna M., Butovsky O. Microglia Function in the Central Nervous System during Health and Neurodegeneration.  Rev. Immunol. 2017;35:441–468. doi: 10.1146/annurev-immunol-051116-052358. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  53. Dadwal S., Heneka M.T. Microglia Heterogeneity in Health and Disease. FEBS Open Bio. 2023 doi: 10.1002/2211-5463.13735. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  54. Scheiblich H, Trombly M, Ramirez A, Heneka MT. Neuroimmune connections in aging and neurodegenerative diseases. Trends Immunol. 2020;41:300–312. doi: 10.1016/j.it.2020.02.002. [PubMed] [CrossRef] [Google Scholar]
  55. Sweeney MD, Sagare AP, Zlokovic BV. Blood–brain barrier breakdown in Alzheimer disease and other neurodegenerative disorders. Nat Rev Neurol. 2018;14:133–150. doi: 10.1038/nrneurol.2017.188. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  56. Shechter R, Miller O, Yovel G, Rosenzweig N, London A, Ruckh J, et al. Recruitment of beneficial M2 macrophages to injured spinal cord is orchestrated by remote brain choroid plexus. 2013;38:555–569. doi: 10.1016/j.immuni.2013.02.012. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  57. Dani N, Herbst RH, McCabe C, Green GS, Kaiser K, Head JP, et al. A cellular and spatial map of the choroid plexus across brain ventricles and ages. 2021;184:3056–3074.e21. doi: 10.1016/j.cell.2021.04.003. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  58. Herisson F, Frodermann V, Courties G, Rohde D, Sun Y, Vandoorne K, et al. Direct vascular channels connect skull bone marrow and the brain surface enabling myeloid cell migration. Nat Neurosci. 2018;21:1209–1217. doi: 10.1038/s41593-018-0213-2. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  59. Cugurra A, Mamuladze T, Rustenhoven J, Dykstra T, Beroshvili G, Greenberg ZJ, et al. Skull and vertebral bone marrow are myeloid cell reservoirs for the meninges and CNS parenchyma. 2021;373:eabf7844. doi: 10.1126/science.abf7844. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  60. Brioschi S, Wang W-L, Peng V, Wang M, Shchukina I, Greenberg ZJ, et al. Heterogeneity of meningeal B cells reveals a lymphopoietic niche at the CNS borders. 2021;373:eabf9277. doi: 10.1126/science.abf9277. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  61. Srinivasan K, Friedman BA, Etxeberria A, Huntley MA, van der Brug MP, Foreman O, et al. Alzheimer’s patient microglia exhibit enhanced aging and unique transcriptional activation. Cell Rep. 2020;31:107843–107843. doi: 10.1016/j.celrep.2020.107843. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  62. Böttcher C, Schlickeiser S, Sneeboer MAM, Kunkel D, Knop A, Paza E, et al. Human microglia regional heterogeneity and phenotypes determined by multiplexed single-cell mass cytometry. Nat Neurosci. 2018;22(1):19. [PubMed] [Google Scholar]
  63. Olah M, Menon V, Habib N, Taga MF, Ma Y, Yung CJ, et al. Single cell RNA sequencing of human microglia uncovers a subset associated with Alzheimer’s disease. Nat Commun. 2020;11:6129. doi: 10.1038/s41467-020-19737-2. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  64. Jordao MJC, Sankowski R, Brendecke SM, Sagar, Locatelli G, Tai YH, et al. Single-cell profiling identifies myeloid cell subsets with distinct fates during neuroinflammation. 2019;363:eaat7554. doi: 10.1126/science.aat7554. [PubMed] [CrossRef] [Google Scholar]
  65. Schmiedel BJ, Gonzalez-Colin C, Fajardo V, Rocha J, Madrigal A, Ramírez-Suástegui C, et al. Single-cell eQTL analysis of activated T cell subsets reveals activation and cell type–dependent effects of disease-risk variants. 2022;7:eabm2508. doi: 10.1126/sciimmunol.abm2508. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  66. Gate D, Saligrama N, Leventhal O, Yang AC, Unger MS, Middeldorp J, et al. Clonally expanded CD8 T cells patrol the cerebrospinal fluid in Alzheimer’s disease. 2020;577:399–404. doi: 10.1038/s41586-019-1895-7. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  67. Phongpreecha T, Fernandez R, Mrdjen D, Culos A, Gajera CR, Wawro AM, et al. Single-cell peripheral immunoprofiling of Alzheimer’s and Parkinson’s diseases. Sci Adv. 2020;6:eabd5575. doi: 10.1126/sciadv.abd5575. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  68. Jorfi M, Maaser-Hecker A, Tanzi RE. The neuroimmune axis of Alzheimer's disease. Genome Med. 2023 Jan 26;15(1):6. doi: 10.1186/s13073-023-01155-w. PMID: 36703235; PMCID: PMC9878767.
  69. Unger MS, Li E, Scharnagl L, Poupardin R, Altendorfer B, Mrowetz H, Hutter-Paier B, Weiger TM, Heneka MT, Attems J, Aigner L. CD8+T-cells infiltrate Alzheimer's disease brains and regulate neuronal- and synapse-related gene expression in APP-PS1 transgenic mice. Brain Behav Immun. 2020 Oct;89:67-86. doi: 10.1016/j.bbi.2020.05.070. Epub 2020 May 29. PMID: 32479993.
  70. Grayson JM, Short SM, Lee CJ, Park N, Marsac C, Sette A, LindestamArlehamn CS, Leng XI, Lockhart SN, Craft S. T cell exhaustion is associated with cognitive status and amyloid accumulation in Alzheimer's disease. Sci Rep. 2023 Sep 22;13(1):15779. doi: 10.1038/s41598-023-42708-8. PMID: 37737298; PMCID: PMC10516910
  71. Magaki S, Yellon SM, Mueller C, Kirsch WM. Immunophenotypes in the circulation of patients with mild cognitive impairment. J Psychiatr Res. 2008 Feb;42(3):240-6. doi: 10.1016/j.jpsychires.2007.01.004. Epub 2007 Feb 23. PMID: 17320906; PMCID: PMC2167624.
  72. Bettcher BM, Tansey MG, Dorothée G, Heneka MT. Peripheral and central immune system crosstalk in Alzheimer disease - a research prospectus. Nat Rev Neurol (2021) 17(11):689–701. doi:  10.1038/s41582-021-00549-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Dionisio-Santos DA, Olschowka JA, O’Banion MK. Exploiting microglial and peripheral immune cell crosstalk to treat alzheimer’s disease. J Neuroinflamm (2019) 16(1):74. doi:  10.1186/s12974-019-1453-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  74. Qian XH, Liu XL, Chen SD, Tang HD. Integrating peripheral blood and brain transcriptomics to identify immunological features associated with Alzheimer's disease in mild cognitive impairment patients. Front Immunol. 2022 Sep 9;13:986346. doi: 10.3389/fimmu.2022.986346. PMID: 36159817; PMCID: PMC9501700.
  75. 75 Sidenkova A.P. BRAIN AGING. COGNITIVE CONTINUUM: COGNITIVE NORM – SUBJECTIVE COGNITIVE DECLINE – COGNITIVE DISORDER// SOCIAL AND CLINICAL PSYCHIATRY 2023, v. 33 no. 3 pp.88-94.
  76. Sidenkova, Alena & Calabrese, Vittorio &Tomasello, Mario & Fritsch, Tilman. (2023). Subjective cognitive decline and cerebral-cognitive reserve in late age. Translational Medicine of Aging. Volume 7, 2023, Pages 137-147https://doi.org/10.1016/j.tma.2023.11.001
  77. Sidenkova A.P., Litvinenko V.V., Bazarny V.V., Rezaikin A.V., Zakharov A.V., Baranskaya L.T., Babushkina E.I. Mechanisms and functions of the cerebral-cognitive reserve in patients with Alzheimer's disease: a narrative review // Consortium Psychiatricum. - 2024. - Vol. 5. - N. 3. - P. 17-29. doi: 17816/CP15526
  78. Gómez-Isla T, Frosch MP. Lesions without symptoms: understanding resilience to Alzheimer disease neuropathological changes. Nat Rev Neurol. 2022;18:323–332. doi: 10.1038/s41582-022-00642-9. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  79. Jorfi M, Maaser-Hecker A, Tanzi RE. The neuroimmune axis of Alzheimer's disease. Genome Med. 2023 Jan 26;15(1):6. doi: 10.1186/s13073-023-01155-w. PMID: 36703235; PMCID: PMC9878767.
  80. Klinkovskij A, Shepelev M, Isaakyan Y, Aniskin D, Ulasov I. Advances of Genome Editing with CRISPR/Cas9 in Neurodegeneration: The Right Path towards Therapy. Biomedicines. 2023 Dec 17;11(12):3333. doi: 10.3390/biomedicines11123333. PMID: 38137554; PMCID: PMC10741756.
  81. Prokop S, Lee VMY, Trojanowski JQ. Neuroimmune interactions in Alzheimer's disease-New frontier with old challenges? ProgMolBiolTransl Sci. 2019;168:183-201. doi: 10.1016/bs.pmbts.2019.10.002. Epub 2019 Oct 24. PMID: 31699314; PMCID: PMC6939624.
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