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Review

Biological Risk Factors Influencing Vascular Cognitive Impairments: A Review of the Evidence

by
Silvina Iluț
1,2,
Ştefan Cristian Vesa
3,*,
Vitalie Văcăraș
1,2,
Lavinia Brăiță
1,
Vlad-Constantin Dăscălescu
1,
Ioana Fantu
1 and
Dafin-Fior Mureșanu
1,2,4
1
Department of Neurosciences, “Iuliu Haţieganu” University of Medicine and Pharmacy, 8 Victor Babeş Street, 400012 Cluj-Napoca, Romania
2
Clinical Rehabilitation Hospital, 46-50 Viilor Street, 400347 Cluj-Napoca, Romania
3
Department of Pharmacology, Toxicology and Clinical Pharmacology, “Iuliu Haţieganu” University of Medicine and Pharmacy, 23 Gheorghe Marinescu Street, 400337 Cluj-Napoca, Romania
4
RoNeuro Institute for Neurological Research and Diagnostic, 37 Mircea Eliade Street, 400364 Cluj-Napoca, Romania
*
Author to whom correspondence should be addressed.
Brain Sci. 2023, 13(7), 1094; https://doi.org/10.3390/brainsci13071094
Submission received: 24 April 2023 / Revised: 16 July 2023 / Accepted: 17 July 2023 / Published: 19 July 2023

Abstract

:
Vascular cognitive impairment encompasses several types of deficits, ranging from mild cognitive impairment to dementia. Cognitive reserve refers to the brain’s ability to balance damage and improve performance through certain types of brain networks. The purpose of this review was to assess the relationship between reserve in vascular impairment, specifically looking at whether cognitive impairment is influenced by cognitive reserve, identifying significant vascular risk factors and their pathological pathways. To achieve this purpose, a review covering these issues was conducted within the Embase, Cochrane, and PubMed database. A total of 657 scientific articles were found, and 33 papers were considered for the final analysis. We concluded that there is no consensus on the protective effects of brain reserve on cognitive impairment. Stroke and diabetes can be considered significant risk factors for vascular cognitive impairment, while hypertension is not as damaging as blood pressure variability, which structurally alters the brain through a variety of mechanisms.

1. Introduction

Cognitive impairment (CI) is a broad term that describes impairments in different cognitive domains, such as attention, memory, decision-making, planning, reasoning, knowledge, judgment, perception, language, understanding, and visuospatial function. One subtype of CI is vascular cognitive impairment that includes all kinds of cognitive deficits, from mild ones to dementia. On the one hand, mild cognitive impairment (MCI) refers to the early stages, in people who are still able to perform most activities of daily living independently. On the other hand, vascular dementia (VaD) is a type of dementia caused by brain damage due to decreased blood flow to the brain, in which people can lose, in certain stages, their independence. Vascular cognitive impairment is seen in patients with stroke, microinfarcts, microhemorrhages, loss of microstructural tissue integrity, strategic white matter tracts, and secondary neurodegeneration [1].
Cognitive reserve is a crucial concept that enables the brain to withstand insults and atrophies, thus delaying the emergence of symptomatic manifestations [2]. Following a vascular brain lesion, the intricate networks within the brain become compromised. There is an increasing recognition of the significance of targeting vascular risk factors in the prevention of dementia. Among the leading causes of dementia, Alzheimer’s disease (AD) is the most prevalent, followed by VaD [1].
Long-standing hypertension stands as a primary etiological factor for cerebrovascular diseases, contributing to both hemorrhagic and, more commonly, atherothrombotic strokes. In patients with chronic hypertension, the presence of atherosclerosis and multiple cerebral microinfarcts is highly characteristic. These lacunar infarctions result from the occlusion of tiny cerebral arteries. Furthermore, general arterial narrowing is frequently observed in individuals with chronic hypertension. Consequently, reduced collateral flow necessitates higher pressure to sustain proper blood flow in cerebral tissue. Thus, blood pressure variability, stemming from increased arterial stiffness or poor patient adherence to antihypertensive treatment, has been proposed as a significant cerebrovascular risk factor [3].
Cerebral small vessel disease is believed to play a pivotal role in the pathophysiology of MCI [4], further establishing the intricate relationship between blood pressure and dementia. Neurologists commonly refer to MCI as the presence of mild memory complaints that do not yet significantly impede daily functioning but are disproportionately concerning, given an individual’s education and age [5]. These complaints often serve as early indicators of dementia.
From a clinical perspective, the identification of treatable risk factors for vascular cognitive impairment holds paramount importance. However, the available evidence does not converge on a single identifiable factor [6]. Hypertension, diabetes, metabolic syndrome, stroke, and cardiac disease have all been implicated in progressive cognitive impairment, yet, a unified disease-modifying therapeutic strategy remains elusive [6].
Against this backdrop, the primary objective of this review paper is to explore the existing evidence pertaining to the relationship between cognitive reserve, risk factors, and cognitive impairment, with a specific focus on blood pressure variability and its underlying pathophysiological mechanisms.

2. Materials and Methods

In order to achieve the aforementioned goals, the subject was divided into two sections, each representing a different aspect: (1) cognitive reserve and ageing caused by vascular disease, (2) underlying pathophysiological link between blood pressure variability, stroke, diabetes, and cognitive impairment.
For these subjects, a systematic review was conducted in accordance with PRISMA-IPD (Preferred Reporting Items for a Systematic Review and Meta-analysis of Individual Participant Data) guidelines [6].

2.1. Search Strategies and Article Eligility

A search strategy for each section was devised which can be consulted in Table 1. Inclusion criteria was represented of observational studies, experimental studies, randomized control trials, and systematic reviews published in English after 2010, focusing on vascular cognitive impairment. Articles published as abstracts, focusing on genetic, infectious, or traumatic degenerative brain diseases and pediatric populations were not taken into consideration. With these criteria, a systematic article search was undertaken on the Embase, Cochrane, and PubMed databases. Additionally, references which were cited in included studies and considered relevant were taken into consideration.

2.2. Quality Analysis and Data Extraction

Each author searched databases using one of the search strategies mentioned above. After removing duplicate articles, the authors selected suitable articles in two stages. Firstly, the article was considered suitable for inclusion based on its title and abstract. Secondly, the full-text articles were read independently and considered into the selection if relevant to the subject. The article’s authors or the journal in which it was published did not have any influence whatsoever on the author’s decision to include it or not.
The data extracted from the selected articles, both quantitative and qualitative results, were narratively summarized by the authors.

3. Results

In total, after having applied the above search terms, a total of 657 scientific articles were found in the Embase, Cochrane, and PubMed search engines. After having removed duplicate articles and 547 papers after abstract and title screening, a total of 143 papers remained to be read in full. A total of 110 papers were read in full-text and excluded based on inclusion and exclusion criteria. A total of 33 papers were taken into consideration for the final analysis (Figure 1).

3.1. What Is the Relationship between Ageing Caused by Vascular Disease and Cognitive Reserve?

Some studies have shown that it is absolutely necessary that researchers evaluate the relationship between cognitive impairment and cognitive outcome, using the cognitive indicators to conclude the normal and pathological changes in brain function and structure [7]. Functional brain activity deals with the networks of the brain performing different tasks and the connections between them [8]. The flexibility and adaptability of the human brain allows the brain to cope better with age-related brain changes and with dementia [9,10].
Cognitive reserve is a continuously modifying factor that is related to the environment and life experiences [11,12], so, understanding the concept of the cognitive reserve could lead to a reduced speed of cognitive impairment with age and, at the same time, could diminish the risk of dementia. It has been observed that people with higher educational and occupational achievements have a reduced risk of developing Alzheimer’s disease [13,14,15]. Stimulating brain activities may reduce the risk of dementia by 40% [16].
Even if it is optimal to start healthy practices early in life, there is evidence that suggests that is not too late to start both physical and mental activity in old age [17].
The neuroplasticity substrates of the brain consist of neurogenesis, anti-oxidant defense, neurotrophic signaling, inflammation, and stress response. It is known that those substrates are modulated by diet and physical activity, while cognitive exercises strengthen cognitive reserve [18,19].

3.2. Is There an Underlying Pathophysiological Link between Blood Pressure Variability, Stroke, Diabetes, and Cognitive Impairment?

On the other hand, in two observational studies [20,21] on large populational groups, it was concluded that stroke and diabetes are the two risk factors for MCI, while arterial hypertension and cardiovascular disease where not found to have any statistical relationship to cognitive impairment. One observational study [22] concluded that antihypertensive treatment, when effective, has a beneficial effect on reducing cognitive impairment at 3 months after treatment initiation. Moreover, the largest observational study taken into consideration [23] suggests that type 1 diabetes with longer-lasting elevated HbA1c values and higher systolic blood pressure values has a negative effect on cognitive impairment. Other studies have demonstrated a positive association between blood pressure variability and cognitive impairment [24,25] regarding blood pressure and its involvement in neurocognitive functioning [26,27,28]. Although the exact pathological mechanism is currently under investigation, there is proof that blood pressure variability acts as an independent predictor for cognitive impairment and is responsible for using more than a single pathway [29]. Blood pressure fluctuations alter cerebral microvasculature through multiple mechanisms, damaging the structure of the cerebrovascular system [30,31,32]. Cerebral hypoperfusion [33], endothelial dysfunction, inflammation [34], oxidative stress and neurohormonal activation [35] are some of the known mechanisms involved in cognitive impairment correlated to blood pressure variability [36].

4. Discussion

The concept of cognitive reserve expresses the variability of the human being to be able to compensate for age-related brain changes or brain pathology [9]. Cognitive reserve encompasses the functionality, plasticity, and adaptability of the brain [7].
One of the age-related brain changes is CSVD, which is associated with the loss of white matter functionality, leading to disability and cognitive impairment [9]. CSVD is characterized by progressive white matter hyperintensities, which have been found to be associated with various risk factors [35]. Several studies [33] have focused on white matter intensities in CSVD, including 7893 patients, as well as 247 patients with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy. These studies revealed that higher cognitive reserve reduces the negative impact of white matter hyperintensities on cognition [9].
Dementia, a major neurocognitive disorder, encompasses numerous factors that cause cognitive impairment. It is believed to result from the overlapping of three processes [17]. The first process is age-related and referred to as “normal” cognitive impairment. The areas most affected by this decline, even since early adulthood, are those involving mental speed, volume of processing, and coordination efficiencies, such as attention, working memory, verbal recall, reasoning, multitasking, and response inhibition [37,38,39]. Conversely, vocabulary and knowledge of the world tend to be well preserved [40]. Additionally, there is a gradual loss of brain mass, with the hippocampus, caudate nucleus, putamen, and frontal cortex being the most affected regions over time [41,42]. As a consequence of these changes, the decline in white matter volume is most noticeable in the prefrontal region [43]. The second process involves pathological changes that worsen cognitive impairment. The last process refers to the brain’s ability to reallocate its resources.
The human brain possesses both structural and dynamic capacities to combat atrophies and lesions. There are believed to be two types of cognitive reserve. The first is a “passive” or static model, in which the network of neurons activates near the local damage. This mechanism is only utilized when there are sufficient functional and structural neurons. The second type is an “active” or dynamic model of cognitive reserve, in which the brain creates new neural circuits and recruits other regions to compensate for the reduced number of neurons [17]. Individuals with higher cognitive reserve tend to experience a more rapid decline when symptoms arise [17].
The main risk factors for vascular dementia (VaD) include age, hypertension, absence of antihypertensive medication, diabetes, cigarette smoking, history of cardiovascular disease (coronary heart disease, congestive heart failure, peripheral vascular disease), atrial fibrillation, left ventricular hypertrophy, hyperhomocysteinemia, orthostatic hypotension, cardiac arrhythmias, hyperfibrinogenemia, and sleep apnea [44,45].
Given the absence of modifying treatments for dementia, recent scientific research has focused on early cognitive impairment, particularly MCI [5]. While cardiovascular diseases and cognitive impairment (both MCI and dementia) are often comorbidities, sharing several risk factors such as smoking, obesity, and physical inactivity, it remains unclear whether cardiovascular diseases, vascular diseases, or events alone are attributable risk factors for the development of cognitive impairment. Disturbances in cerebral blood flow play a crucial role in the pathophysiological pathways leading to dementia, including Alzheimer’s dementia, hypertension, coronary artery disease (CHD), stroke (including cerebral infarction and cerebral hemorrhage), and metabolic syndrome with its components, including diabetes and obesity, which may be considered potential risk factors for MCI, among other factors [20,46].
Firstly, arterial stiffness and endothelial dysfunction, which are common in cardiovascular diseases, contribute to reduced cerebral blood flow and impaired vascular function in the brain, leading to cognitive impairment [47]. Hypertension, a major risk factor for cardiovascular diseases, has been associated with an increased risk of MCI and dementia [48]. The mechanisms underlying this association involve chronic cerebral hypoperfusion, oxidative stress, inflammation, and impaired clearance of amyloid-beta, a hallmark protein implicated in Alzheimer’s disease [49,50].
Secondly, cerebrovascular diseases, such as stroke and cerebral infarction, can lead to cognitive impairment and dementia. Ischemic stroke can cause focal brain damage, disrupting cognitive functions depending on the affected brain regions [51]. Additionally, silent cerebral infarcts, which are often asymptomatic, have been associated with an increased risk of cognitive impairment and dementia [52].
Furthermore, chronic systemic inflammation and oxidative stress, characteristic of cardiovascular diseases, can contribute to neuroinflammation and neurodegeneration, thereby increasing the risk of cognitive impairment [53,54]. Inflammatory markers, such as C-reactive protein (CRP) and interleukin-6 (IL-6), have been found to be elevated in individuals with MCI and dementia [55,56].
In summary, there is growing evidence suggesting that cardiovascular diseases and risk factors are associated with an increased risk of cognitive impairment, including MCI and dementia. The mechanisms linking these conditions involve cerebral hypoperfusion, vascular dysfunction, chronic inflammation, oxidative stress, and neurodegeneration. Identifying and managing cardiovascular risk factors early on may help reduce the risk of cognitive impairment and promote brain health.

5. Conclusions

To conclude, the current literature presents contradictory data regarding the protective effects of brain reserve on cognitive impairment in the presence of vascular changes. Further research is needed to fully understand the role of cognitive reserve in mitigating cognitive impairment. While the precise risk factors for vascular cognitive impairment remain uncertain, studies suggest that stroke and uncontrolled diabetes are modifiable risk factors, whereas hypertension appears to have less influence compared to oscillatory blood pressure values. Blood pressure variability has detrimental effects on the cerebral microvasculature, causing structural damage at a molecular and cellular level, thereby impairing cognitive function and overall health. In addition to managing modifiable risk factors and promoting healthier lifestyle choices, the current literature emphasizes the importance of continuous physical and cognitive training as beneficial for individuals with mild cognitive impairment.

Author Contributions

Conceptualization, S.I., Ş.C.V. and D.-F.M.; methodology, V.V.; formal analysis, L.B. and V.-C.D.; investigation, I.F. and V.V.; resources, S.I.; data curation, Ş.C.V. and D.-F.M.; writing—original draft preparation, S.I.; writing—review and editing, Ş.C.V.; supervision, D.-F.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The study information is registered on OSF registries: https://doi.org/10.17605/OSF.IO/NQY6F.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Dichgans, M.; Leys, D. Vascular Cognitive Impairment. Circ. Res. 2017, 120, 573–591. [Google Scholar] [CrossRef]
  2. Lilly, L.S.; Harvard Medical School (Eds.) Pathophysiology of Heart Disease: A Collaborative Project of Medical Students and Faculty, 6th ed.; Wolters Kluwer: Philadelphia, PA, USA, 2016; 467p. [Google Scholar]
  3. Nagai, M.; Hoshide, S.; Kario, K. Role of 24-hour blood pressure management in preventing kidney disease and stroke. Contrib. Nephrol. 2013, 179, 67–80. [Google Scholar] [PubMed]
  4. Ropper, A.H.; Samuels, M.A.; Klein, J. Adams and Victor’s Principles of Neurology, 7th ed.; McGraw-Hill Education: New York, NY, USA, 2019; 1653p. [Google Scholar]
  5. Gorelick, P.B.; Scuteri, A.; Black, S.E.; Decarli, C.; Greenberg, S.M.; Iadecola, C.; Launer, L.J.; Laurent, S.; Lopez, O.L.; Nyenhuis, D.; et al. Vascular contributions to cognitive impairment and dementia: A statement for healthcare professionals from the american heart association/american stroke association. Stroke 2011, 42, 2672–2713. [Google Scholar] [CrossRef] [PubMed]
  6. Stewart, L.A.; Clarke, M.; Rovers, M.; Riley, R.D.; Simmonds, M.; Stewart, G.; Tierney, J.F.; PRISMA-IPD Development Group. Preferred Reporting Items for Systematic Review and Meta-Analyses of individual participant data: The PRISMA-IPD Statement. JAMA 2015, 313, 1657–1665. [Google Scholar] [CrossRef] [PubMed]
  7. Stern, Y.; Barnes, C.A.; Grady, C.; Jones, R.N.; Raz, N. Brain reserve, cognitive reserve, compensation, and maintenance: Operationalization, validity, and mechanisms of cognitive resilience. Neurobiol. Aging 2019, 83, 124–129. [Google Scholar] [CrossRef] [PubMed]
  8. Stern, Y.; Arenaza-Urquijo, E.M.; Bartrés-Faz, D.; Belleville, S.; Cantilon, M.; Chetelat, G.; Ewers, M.; Franzmeier, N.; Kempermann, G.; Kremen, W.S.; et al. Whitepaper: Defining and investigating cognitive reserve, brain reserve, and brain maintenance. Alzheimers Dement. J. Alzheimers Assoc. 2020, 16, 1305–1311. [Google Scholar] [CrossRef]
  9. Pinter, D.; Enzinger, C.; Fazekas, F. Cerebral small vessel disease, cognitive reserve and cognitive dysfunction. J. Neurol. 2015, 262, 2411–2419. [Google Scholar] [CrossRef]
  10. Stern, Y. How Can Cognitive Reserve Promote Cognitive and Neurobehavioral Health? Arch. Clin. Neuropsychol. 2021, 36, 1291–1295. [Google Scholar] [CrossRef]
  11. Colangeli, S.; Boccia, M.; Verde, P.; Guariglia, P.; Bianchini, F.; Piccardi, L. Cognitive Reserve in Healthy Aging and Alzheimer’s Disease: A Meta-Analysis of fMRI Studies. Am. J. Alzheimer’s Dis. Other Dement. 2016, 31, 443–449. [Google Scholar] [CrossRef]
  12. Han, S.; Lee, J.Y.; Cho, S.I.; Oh, D.J.; Yoon, D.H. Risk Factors for Various Cognitive Function Decline Trajectories in Adults over 40 Years of Age: A Retrospective Cohort Study. Psychiatry Investig. 2023, 20, 293–300. [Google Scholar] [CrossRef] [PubMed]
  13. Stern, Y. Cognitive reserve in ageing and Alzheimer’s disease. Lancet Neurol. 2012, 11, 1006–1012. [Google Scholar] [CrossRef] [Green Version]
  14. Martorana, A.; Assogna, M.; DE Lucia, V.; Motta, C.; Bonomi, C.G.; Bernocchi, F.; DI Donna, M.G.; Koch, G. Cognitive reserve and Alzheimer’s biological continuum: Clues for prediction and prevention of dementia. Minerva Med. 2021, 112, 441–447. [Google Scholar] [CrossRef] [PubMed]
  15. Ngandu, T.; Lehtisalo, J.; Solomon, A.; Levälahti, E.; Ahtiluoto, S.; Antikainen, R.; Bäckman, L.; Hänninen, T.; Jula, A.; Laatikainen, T.; et al. A 2 year multidomain intervention of diet, exercise, cognitive training, and vascular risk monitoring versus control to prevent cognitive decline in at-risk elderly people (FINGER): A randomised controlled trial. Lancet 2015, 385, 2255–2263. [Google Scholar] [CrossRef] [PubMed]
  16. Pietzuch, M.; King, A.E.; Ward, D.D.; Vickers, J.C. The Influence of Genetic Factors and Cognitive Reserve on Structural and Functional Resting-State Brain Networks in Aging and Alzheimer’s Disease. Front. Aging Neurosci. 2019, 11, 30. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Cheng, S.T. Cognitive Reserve and the Prevention of Dementia: The Role of Physical and Cognitive Activities. Curr. Psychiatry Rep. 2016, 18, 85. [Google Scholar] [CrossRef] [Green Version]
  18. Phillips, C. Lifestyle Modulators of Neuroplasticity: How Physical Activity, Mental Engagement, and Diet Promote Cognitive Health during Aging. Neural Plast. 2017, 2017, 3589271. [Google Scholar] [CrossRef]
  19. Pettigrew, C.; Soldan, A. Defining Cognitive Reserve and Implications for Cognitive Aging. Curr. Neurol. Neurosci. Rep. 2019, 19, 1. [Google Scholar] [CrossRef]
  20. Ganguli, M.; Fu, B.; Snitz, B.E.; Hughes, T.F.; Chang, C.C.H. Mild cognitive impairment: Incidence and vascular risk factors in a population-based cohort. Neurology 2013, 80, 2112–2120. [Google Scholar] [CrossRef] [Green Version]
  21. Wang, Y.; Song, M.; Yu, L.; Wang, L.; An, C.; Xun, S.; Zhao, X.; Gao, Y.; Wang, X. Mild Cognitive Impairment: Vascular Risk Factors in Community Elderly in Four Cities of Hebei Province, China. PLoS ONE 2015, 10, e0124566. [Google Scholar] [CrossRef] [Green Version]
  22. Vazirinejad, R.; Mirmotalebi, M.; Bageri, M.; Kounis, N.G.; Koniari, I.; Lilley, J.M.; Gommnami, N. Age-Related Effect of Antihypertensive Treatment on Cognitive Performance: Is it Better Preventing Dementia in Older Age? Am. J. Alzheimers Dis. Other Dement. 2019, 34, 486–491. [Google Scholar] [CrossRef] [Green Version]
  23. Jacobson, A.M.; Ryan, C.M.; Braffett, B.H.; Gubitosi-Klug, R.A.; Lorenzi, G.M.; Luchsinger, J.A.; Trapani, V.R.; Bebu, I.; Chaytor, N.; Hitt, S.M.; et al. Cognitive performance declines in older adults with type 1 diabetes: Results from 32 years of follow-up in the DCCT and EDIC Study. Lancet Diabetes Endocrinol. 2021, 9, 436–445. [Google Scholar] [CrossRef] [PubMed]
  24. Diaz, K.M.; Veerabhadrappa, P.; Kashem, M.A.; Feairheller, D.L.; Sturgeon, K.M.; Williamson, S.T.; Crabbe, D.L.; Brown, M.D. Relationship of visit-to-visit and ambulatory blood pressure variability to vascular function in African Americans. Hypertens. Res. 2012, 35, 55–61. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Hajjar, I.; Hart, M.; Chen, Y.L.; Mack, W.; Novak, V.; Chui, H.; Lipsitz, L. Antihypertensive Therapy and Cerebral Hemodynamics in Executive Mild Cognitive Impairment: Results of a Pilot Randomized Clinical Trial. J. Am. Geriatr. Soc. 2013, 61, 194–201. [Google Scholar] [CrossRef] [Green Version]
  26. Foster-Dingley, J.C.; van der Grond, J.; Moonen, J.E.F.; van den Berg-Huijsmans, A.A.; de Ruijter, W.; van Buchem, M.A.; de Craen, A.J.; van der Mast, R.C. Lower Blood Pressure Is Associated With Smaller Subcortical Brain Volumes in Older Persons. Am. J. Hypertens. 2015, 28, 1127–1133. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Kim, Y.; Lim, J.S.; Oh, M.S.; Yu, K.H.; Lee, J.S.; Park, J.H.; Kim, Y.J.; Rha, J.H.; Hwang, Y.H.; Heo, S.H.; et al. Blood pressure variability is related to faster cognitive decline in ischemic stroke patients: PICASSO subanalysis. Sci. Rep. 2021, 11, 5049. [Google Scholar] [CrossRef] [PubMed]
  28. Sabayan, B.; Wijsman, L.W.; Foster-Dingley, J.C.; Stott, D.J.; Ford, I.; Buckley, B.M.; Sattar, N.; Jukema, J.W.; van Osch, M.J.; van der Grond, J.; et al. Association of visit-to-visit variability in blood pressure with cognitive function in old age: Prospective cohort study. BMJ 2013, 347, f4600. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Nagai, M.; Dote, K.; Kato, M.; Sasaki, S.; Oda, N.; Kagawa, E.; Nakano, Y.; Yamane, A.; Higashihara, T.; Miyauchi, S.; et al. Visit-to-Visit Blood Pressure Variability and Alzheimer’s Disease: Links and Risks. J. Alzheimer’s Dis. 2017, 59, 515–526. [Google Scholar] [CrossRef]
  30. van Middelaar, T.; Richard, E.; Moll van Charante, E.P.; van Gool, W.A.; van Dalen, J.W. Visit-to-Visit Blood Pressure Variability and Progression of White Matter Hyperintensities Among Older People With Hypertension. J. Am. Med. Dir. Assoc. 2019, 20, 1175–1177.e1. [Google Scholar] [CrossRef]
  31. Tully, P.J.; Debette, S.; Tzourio, C. The association between systolic blood pressure variability with depression, cognitive decline and white matter hyperintensities: The 3C Dijon MRI study. Psychol. Med. 2018, 48, 1444–1453. [Google Scholar] [CrossRef]
  32. Haratz, S.; Weinstein, G.; Molshazki, N.; Beeri, M.S.; Ravona-Springer, R.; Marzeliak, O.; Goldbourt, U.; Tanne, D. Impaired Cerebral Hemodynamics and Cognitive Performance in Patients with Atherothrombotic Disease. J. Alzheimer’s Dis. 2015, 46, 137–144. [Google Scholar] [CrossRef]
  33. Okamoto, Y.; Yamamoto, T.; Kalaria, R.N.; Senzaki, H.; Maki, T.; Hase, Y.; Kitamura, A.; Washida, K.; Yamada, M.; Ito, H.; et al. Cerebral hypoperfusion accelerates cerebral amyloid angiopathy and promotes cortical microinfarcts. Acta Neuropathol. 2012, 123, 381–394. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Lawlor, B.; Segurado, R.; Kennelly, S.; Olde Rikkert, M.G.M.; Howard, R.; Pasquier, F.; Börjesson-Hanson, A.; Tsolaki, M.; Lucca, U.; Molloy, D.W.; et al. Nilvadipine in mild to moderate Alzheimer disease: A randomised controlled trial. PLoS Med. 2018, 15, e1002660. [Google Scholar] [CrossRef] [PubMed]
  35. Jokinen, H.; Melkas, S.; Madureira, S.; Verdelho, A.; Ferro, J.M.; Fazekas, F.; Schmidt, R.; Scheltens, P.; Barkhof, F.; Wardlaw, J.M.; et al. Cognitive reserve moderates long-term cognitive and functional outcome in cerebral small vessel disease. J. Neurol. Neurosurg. Psychiatry 2016, 87, 1296–1302. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Gąsecki, D.; Kwarciany, M.; Nyka, W.; Narkiewicz, K. Hypertension, Brain Damage and Cognitive Decline. Curr. Hypertens Rep. 2013, 15, 547–558. [Google Scholar] [CrossRef] [Green Version]
  37. Harada, C.N.; Natelson Love, M.C.; Triebel, K.L. Normal cognitive aging. Clin. Geriatr. Med. 2013, 29, 737–752. [Google Scholar] [CrossRef] [Green Version]
  38. Baltes, P.B. The aging mind: Potential and limits. Gerontologist 1993, 33, 580–594. [Google Scholar] [CrossRef]
  39. Raz, N.; Lindenberger, U.; Rodrigue, K.M.; Kennedy, K.M.; Head, D.; Williamson, A.; Dahle, C.; Gerstorf, D.; Acker, J.D. Regional brain changes in aging healthy adults: General trends, individual differences and modifiers. Cereb. Cortex 2005, 15, 1676–1689. [Google Scholar] [CrossRef] [Green Version]
  40. Tamnes, C.K.; Walhovd, K.B.; Dale, A.M.; Østby, Y.; Grydeland, H.; Richardson, G.; Westlye, L.T.; Roddey, J.C.; Hagler, D.J., Jr.; Due-Tønnessen, P.; et al. Brain development and aging: Overlapping and unique patterns of change. NeuroImage 2013, 68, 63–74. [Google Scholar] [CrossRef] [Green Version]
  41. Gunning-Dixon, F.M.; Brickman, A.M.; Cheng, J.C.; Alexopoulos, G.S. Aging of cerebral white matter: A review of MRI findings. Int. J. Geriatr. Psychiatry 2009, 24, 109–117. [Google Scholar] [CrossRef] [Green Version]
  42. Román, G.C. Vascular Dementia Prevention: A Risk Factor Analysis. Cerebrovasc. Dis. 2005, 20 (Suppl. 2), 91–100. [Google Scholar] [CrossRef]
  43. Petersen, R.C.; Roberts, R.O.; Knopman, D.S.; Boeve, B.F.; Geda, Y.E.; Ivnik, R.J.; Smith, G.E.; Jack, C.R., Jr. Mild cognitive impairment: Ten years later. Arch. Neurol. 2009, 66, 1447–1455. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Nichols, M.; Townsend, N.; Scarborough, P.; Rayner, M. European Cardiovascular Disease Statistics 4th edition 2012: EuroHeart II. Eur. Heart J. 2013, 34, 3007–3013. [Google Scholar]
  45. Daffner, K.R. Promoting Successful Cognitive Aging: A Comprehensive Review. J. Alzheimers Dis. 2010, 19, 1101–1122. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Dautricourt, S.; Gonneaud, J.; Landeau, B.; Calhoun, V.D.; De Flores, R.; Poisnel, G.; Bougacha, S.; Ourry, V.; Touron, E.; Kuhn, E.; et al. Dynamic functional connectivity patterns associated with dementia risk. Alzheimer’s Res. Ther. 2022, 14, 72. [Google Scholar] [CrossRef]
  47. Forette, F.; Seux, M.L.; Staessen, J.A.; Thijs, L.; Babarskiene, M.R.; Babeanu, S.; Bossini, A.; Fagard, R.; Gil-Extremera, B.; Laks, T.; et al. The prevention of dementia with antihypertensive treatment: New evidence from the Systolic Hypertension in Europe (Syst-Eur) study. Arch. Intern. Med. 2002, 162, 2046–2052. [Google Scholar] [CrossRef] [PubMed]
  48. Dolui, S.; Detre, J.A.; Gaussoin, S.A.; Herrick, J.S.; Wang, D.J.J.; Tamura, M.K.; Cho, M.E.; Haley, W.E.; Launer, L.J.; Punzi, H.A.; et al. Association of Intensive vs Standard Blood Pressure Control With Cerebral Blood Flow: Secondary Analysis of the SPRINT MIND Randomized Clinical Trial. JAMA Neurol. 2022, 79, 380–389. [Google Scholar] [CrossRef] [PubMed]
  49. Qiu, C.; Winblad, B.; Fratiglioni, L. The age-dependent relation of blood pressure to cognitive function and dementia. Lancet Neurol. 2005, 4, 487–499. [Google Scholar] [CrossRef]
  50. Vidal, J.S.; Sigurdsson, S.; Jonsdottir, M.K.; Eiriksdottir, G.; Thorgeirsson, G.; Kjartansson, O.; Garcia, M.E.; van Buchem, M.A.; Harris, T.B.; Gudnason, V.; et al. Coronary artery calcium, brain function and structure: The AGES-Reykjavik Study. Stroke 2010, 41, 891–897. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  51. Huang, Y.T.; Hong, F.F.; Yang, S.L. Atherosclerosis: The Culprit and Co-victim of Vascular Dementia. Front. Neurosci. 2021, 15, 673440. [Google Scholar] [CrossRef]
  52. Kuller, L.H.; Lopez, O.L.; Jagust, W.J.; Becker, J.T.; DeKosky, S.T.; Lyketsos, C.; Kawas, C.; Breitner, J.C.; Fitzpatrick, A.; Dulberg, C. Determinants of vascular dementia in the Cardiovascular Health Cognition Study. Neurology 2005, 64, 1548–1552. [Google Scholar] [CrossRef]
  53. Rusanen, M.; Kivipelto, M.; Levälahti, E.; Laatikainen, T.; Tuomilehto, J.; Soininen, H.; Ngandu, T. Heart diseases and long-term risk of dementia and Alzheimer’s disease: A population-based CAIDE study. J. Alzheimers Dis. 2014, 42, 183–191. [Google Scholar] [CrossRef] [PubMed]
  54. McDonagh, T.A.; Metra, M.; Adamo, M.; Gardner, R.S.; Baumbach, A.; Böhm, M.; Burri, H.; Butler, J.; Čelutkienė, J.; Chioncel, O.; et al. 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur. Heart J. 2021, 42, 3599–3726. [Google Scholar] [CrossRef] [PubMed]
  55. Vuorinen, M.; Spulber, G.; Damangir, S.; Niskanen, E.; Ngandu, T.; Soininen, H.; Kivipelto, M.; Solomon, A. Midlife CAIDE Dementia Risk Score and Dementia-Related Brain Changes up to 30 Years Later on Magnetic Resonance Imaging. J. Alzheimers Dis. 2015, 44, 93–101. [Google Scholar] [CrossRef] [PubMed]
  56. Komen, J.J.; Pottegård, A.; Mantel-Teeuwisse, A.K.; Forslund, T.; Hjemdahl, P.; Wettermark, B.; Hallas, J.; Olesen, M.; Bennie, M.; Mueller, T.; et al. Oral anticoagulants in patients with atrial fibrillation at low stroke risk: A multicentre observational study. Eur. Heart J. 2022, 43, 3528–3538. [Google Scholar] [CrossRef] [PubMed]
Figure 1. PRISMA diagram of the study’s selection process.
Figure 1. PRISMA diagram of the study’s selection process.
Brainsci 13 01094 g001
Table 1. Research questions and their strategies.
Table 1. Research questions and their strategies.
Research Questions (RQs)Search Strategy
RQ 1: What is the relationship between ageing caused by vascular disease and cognitive reserve?cognitive reserve AND cognitive ageing
RQ 2: Is there an underlying pathophysiological link between blood pressure variability, stroke, diabetes, and cognitive impairment?cognitive reserve AND cognitive ageing and adults and blood pressure
cognitive reserve AND cognitive ageing and adults and stroke
cognitive reserve AND cognitive ageing and adults and diabetes
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MDPI and ACS Style

Iluț, S.; Vesa, Ş.C.; Văcăraș, V.; Brăiță, L.; Dăscălescu, V.-C.; Fantu, I.; Mureșanu, D.-F. Biological Risk Factors Influencing Vascular Cognitive Impairments: A Review of the Evidence. Brain Sci. 2023, 13, 1094. https://doi.org/10.3390/brainsci13071094

AMA Style

Iluț S, Vesa ŞC, Văcăraș V, Brăiță L, Dăscălescu V-C, Fantu I, Mureșanu D-F. Biological Risk Factors Influencing Vascular Cognitive Impairments: A Review of the Evidence. Brain Sciences. 2023; 13(7):1094. https://doi.org/10.3390/brainsci13071094

Chicago/Turabian Style

Iluț, Silvina, Ştefan Cristian Vesa, Vitalie Văcăraș, Lavinia Brăiță, Vlad-Constantin Dăscălescu, Ioana Fantu, and Dafin-Fior Mureșanu. 2023. "Biological Risk Factors Influencing Vascular Cognitive Impairments: A Review of the Evidence" Brain Sciences 13, no. 7: 1094. https://doi.org/10.3390/brainsci13071094

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