Skip to main content

Advertisement

SpringerLink
Log in

The Role of Blood–Brain Barrier Dysfunction in Mild Cognitive Impairment: a Scientometric and Visualization Analysis from 2000 to 2021

  • Published:
Journal of Molecular Neuroscience Aims and scope Submit manuscript

Abstract

Mild cognitive impairment (MCI) is a pathological stage between normal cognitive aging and dementia. The blood–brain barrier (BBB) breakdown is emerging as an early biomarker of MCI. This study aimed to visually analyze the literatures related to MCI caused by BBB dysfunction in recent 20 years, systematically identify collaboration networks, track research trends, highlight current hot spots, and predict future frontiers in this field. The related literatures published from 2000 to 2021 were obtained from the Web of Science with the search term “mild cognitive impairment and (blood–brain barrier or neurovascular unit or neurovascular coupling)”. VOSviewer software was used to present knowledge map, CiteSpace software was used to extract literature information and make tables, including the top most influential countries, authors, institutions, periodicals, keywords, and references. A total of 333 literatures were used for visual analysis. After 2013, the literatures in the field of BBB dysfunction-induced MCI showed an increased trend in terms of year of publication and quantity of material, with more than 40 publications published each year. USA, England, China, and Sweden cooperated closely. In terms of institutions, Harvard Med Sch ranked first in the number of papers published, followed by Mstricht Univ and Univ Washington. In terms of journals, three of the top five co-cited journals belonged to USA, the other two journals were Neurobiol Aging and J Alzheimers DIS, which were from England and Netherlands respectively. A total of 1752 authors were identified, with Abhay P Sagare the most published and Zlokovic BV the most cited. Keyword emergence detection analysis showed that inflammation, oxidative stress, and memory were new research hot spot in this field. Overall, the research on BBB dysfunction-induced MCI is booming. In the future, cooperation and communication between different countries and institutions should be strengthened.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

Data Availability

The data that support the findings of this study are available on request from the corresponding author/s.

References

  • Abbott NJ et al (2010) Structure and function of the blood-brain barrier. Neurobiol Dis 37(1):13–25

    Article  CAS  PubMed  Google Scholar 

  • Akhtar A, Sah SP (2020) Insulin signaling pathway and related molecules: role in neurodegeneration and Alzheimer’s disease. Neurochem Int 135:104707

    Article  CAS  PubMed  Google Scholar 

  • Alahmari A (2021) Blood-brain barrier overview: structural and functional correlation. Neural Plast 2021:6564585

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Albert MS et al (2011) The diagnosis of mild cognitive impairment due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement 7(3):270–279

    Article  PubMed  PubMed Central  Google Scholar 

  • Anand KS, Dhikav V (2012) Hippocampus in health and disease: an overview. Ann Indian Acad Neurol 15(4):239–246

    Article  PubMed  PubMed Central  Google Scholar 

  • Anderson ND (2019) State of the science on mild cognitive impairment (MCI). CNS Spectr 24(1):78–87

    Article  PubMed  Google Scholar 

  • Arvanitakis Z, Shah RC, Bennett DA (2019) Diagnosis and management of dementia: review. JAMA 322(16):1589–1599

    Article  PubMed  PubMed Central  Google Scholar 

  • Ball HA et al (2020) Functional cognitive disorder: dementia’s blind spot. Brain 143(10):2895–2903

    Article  PubMed  PubMed Central  Google Scholar 

  • Behl T et al (2021) Multifaceted role of matrix metalloproteinases in neurodegenerative diseases: pathophysiological and therapeutic perspectives. Int J Mol Sci 22(3)

  • Benedictus MR et al (2017) Lower cerebral blood flow is associated with faster cognitive decline in Alzheimer’s disease. Eur Radiol 27(3):1169–1175

    Article  PubMed  Google Scholar 

  • Bettio LEB, Rajendran L, Gil-Mohapel J (2017) The effects of aging in the hippocampus and cognitive decline. Neurosci Biobehav Rev 79:66–86

    Article  PubMed  Google Scholar 

  • Boese AC, Hamblin MH, Lee JP (2020) Neural stem cell therapy for neurovascular injury in Alzheimer’s disease. Exp Neurol 324:113112

    Article  CAS  PubMed  Google Scholar 

  • Brandt JS et al (2019) A bibliometric analysis of top-cited journal articles in obstetrics and gynecology. JAMA Netw Open 2(12):e1918007

    Article  PubMed  PubMed Central  Google Scholar 

  • Cai Z et al (2018) Role of blood-brain barrier in Alzheimer’s disease. J Alzheimers Dis 63(4):1223–1234

    Article  CAS  PubMed  Google Scholar 

  • Cash A, Theus MH (2020) Mechanisms of blood-brain barrier dysfunction in traumatic brain injury. Int J Mol Sci 21(9)

  • Chen C (2004) Searching for intellectual turning points: progressive knowledge domain visualization. Proc Natl Acad Sci U S A 101(Suppl 1):5303–5310

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Cui MY et al (2018) Exercise intervention associated with cognitive improvement in Alzheimer’s disease. Neural Plast 2018:9234105

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Daneman R, Prat A (2015) The blood-brain barrier. Cold Spring Harb Perspect Biol 7(1):a020412

    Article  PubMed  PubMed Central  Google Scholar 

  • Gorelick PB et al (2011) Vascular contributions to cognitive impairment and dementia: a statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 42(9):2672–2713

    Article  PubMed  PubMed Central  Google Scholar 

  • Guler AT, Waaijer CJ, Palmblad M (2016) Scientific workflows for bibliometrics. Scientometrics 107:385–398

    Article  PubMed  PubMed Central  Google Scholar 

  • Hendrix SB (2012) Measuring clinical progression in MCI and pre-MCI populations: enrichment and optimizing clinical outcomes over time. Alzheimers Res Ther 4(4):24

    Article  PubMed  PubMed Central  Google Scholar 

  • Iadecola C (2013) The pathobiology of vascular dementia. Neuron 80(4):844–866

    Article  CAS  PubMed  Google Scholar 

  • Kasper S et al (2020) Management of mild cognitive impairment (MCI): the need for national and international guidelines. World J Biol Psychiatry 21(8):579–594

    Article  PubMed  Google Scholar 

  • Ke L et al (2020) Knowledge mapping of drug-induced liver injury: a scientometric investigation (2010–2019). Front Pharmacol 11:842

    Article  PubMed  PubMed Central  Google Scholar 

  • Ma D et al (2021) A bibliometric analysis of pyroptosis from 2001 to 2021. Front Immunol 12:731933

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Mawuenyega KG et al (2010) Decreased clearance of CNS beta-amyloid in Alzheimer’s disease. Science 330(6012):1774

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Montagne A et al (2015) Blood-brain barrier breakdown in the aging human hippocampus. Neuron 85(2):296–302

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Montagne A, Zhao Z, Zlokovic BV (2017) Alzheimer’s disease: a matter of blood-brain barrier dysfunction? J Exp Med 214(11):3151–3169

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Nation DA et al (2019) Blood-brain barrier breakdown is an early biomarker of human cognitive dysfunction. Nat Med 25(2):270–276

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Nehra G, Bauer B, Hartz AMS (2022) Blood-brain barrier leakage in Alzheimer’s disease: from discovery to clinical relevance. Pharmacol Ther 234:108119

    Article  CAS  PubMed  Google Scholar 

  • O’Brien J (2003) Behavioral symptoms in vascular cognitive impairment and vascular dementia. Int Psychogeriatr 15(Suppl 1):133–138

    Article  PubMed  Google Scholar 

  • Rajeev V et al (2022) Pathophysiology of blood brain barrier dysfunction during chronic cerebral hypoperfusion in vascular cognitive impairment. Theranostics 12(4):1639–1658

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Rasmussen MK, Mestre H, Nedergaard M (2018) The glymphatic pathway in neurological disorders. Lancet Neurol 17(11):1016–1024

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Roberts R, Knopman DS (2013) Classification and epidemiology of MCI. Clin Geriatr Med 29(4):753–772

    Article  PubMed  Google Scholar 

  • Roman GC et al (1993) Vascular dementia: diagnostic criteria for research studies. Report of the NINDS-AIREN International Workshop. Neurology 43(2):250–260

    Article  CAS  PubMed  Google Scholar 

  • Sachs-Ericsson N, Blazer DG (2015) The new DSM-5 diagnosis of mild neurocognitive disorder and its relation to research in mild cognitive impairment. Aging Ment Health 19(1):2–12

    Article  PubMed  Google Scholar 

  • Solfrizzi V et al (2004) Vascular risk factors, incidence of MCI, and rates of progression to dementia. Neurology 63(10):1882–1891

    Article  CAS  PubMed  Google Scholar 

  • Sweeney MD et al (2019) Blood-brain barrier: from physiology to disease and back. Physiol Rev 99(1):21–78

    Article  CAS  PubMed  Google Scholar 

  • Uprety A, Kang Y, Kim SY (2021) Blood-brain barrier dysfunction as a potential therapeutic target for neurodegenerative disorders. Arch Pharmacal Res 44(5):487–498

    Article  CAS  Google Scholar 

  • van der Flier WM et al (2018) Vascular cognitive impairment. Nat Rev Dis Primers 4:18003

    Article  PubMed  Google Scholar 

  • Wang H, Golob EJ, Su MY (2006) Vascular volume and blood-brain barrier permeability measured by dynamic contrast enhanced MRI in hippocampus and cerebellum of patients with MCI and normal controls. J Magn Reson Imaging 24(3):695–700

    Article  PubMed  Google Scholar 

  • Xie L et al (2021) The 100 most-cited articles about the role of neurovascular unit in stroke 2001–2020: a bibliometric analysis. CNS Neurosci Ther 27(7):743–752

    Article  PubMed  PubMed Central  Google Scholar 

  • Yamazaki Y, Kanekiyo T (2017) Blood-brain barrier dysfunction and the pathogenesis of Alzheimer's disease. Int J Mol Sci 18(9)

  • Yang AC et al (2022) A human brain vascular atlas reveals diverse mediators of Alzheimer’s risk. Nature

  • Zhang N, Gordon ML, Goldberg TE (2017) Cerebral blood flow measured by arterial spin labeling MRI at resting state in normal aging and Alzheimer’s disease. Neurosci Biobehav Rev 72:168–175

    Article  CAS  PubMed  Google Scholar 

  • Zlokovic BV (2011) Neurovascular pathways to neurodegeneration in Alzheimer’s disease and other disorders. Nat Rev Neurosci 12(12):723–738

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Funding

This work was sponsored by the grant of the funding of the Youth Fund Project of Research Planning Foundation on Humanities and Social Sciences of the Ministry of Education (20YJCZH001), the China Postdoctoral Science Foundation (2021M702128), the Scientific Research Foundation of SUMHS (SSF-21–03-008), the Fund Project of Shandong Provincial Department of Education (SDYAL20103), and the Shanghai Sailing Program (22YF1441600).

Author information

Author notes

  1. Ming Cai, Si Chen, and Yihong Du contributed equally to the work.

Authors and Affiliations

  1. Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, 1500 Zhouyuan Road, Shanghai, 201318, China

    Ming Cai

  2. Bio-X Institutes, Shanghai Jiaotong University, Shanghai, 200030, China

    Ming Cai

  3. College of Sport Sciences, Qufu Normal University, Qufu, 273165, Shandong Province, China

    Si Chen, Siqi Li, Peihai Dong & Lei Zhu

  4. College of Physical and Health, East China Jiaotong University, Nanchang, China

    Yihong Du

  5. College of Rehabilitation Sciences, Shanghai University of Medicine and Health Sciences, Shanghai, 201318, China

    Liyan Wang & Ruoyu Yang

  6. Central Lab, Shanghai Pudong New Area People’s Hospital, 490 Chuanhuan South Road, Shanghai, 201299, China

    Jingyun Hu

Authors
  1. Ming Cai
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Si Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yihong Du
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Siqi Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Peihai Dong
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Liyan Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Ruoyu Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Jingyun Hu
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Lei Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

JH and LZ conceived and revised the article. MC designed the study and wrote the manuscript. SC and YD collected and analyzed the data and participated in the paper writing. PD, SL, LW, and RY collected and checked the date. All authors contributed toward data analysis and drafting and critically revised and approved the final version of the manuscript.

Corresponding authors

Correspondence to Jingyun Hu or Lei Zhu.

Ethics declarations

Conflict of Interest

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Cai, M., Chen, S., Du, Y. et al. The Role of Blood–Brain Barrier Dysfunction in Mild Cognitive Impairment: a Scientometric and Visualization Analysis from 2000 to 2021. J Mol Neurosci 72, 1977–1989 (2022). https://doi.org/10.1007/s12031-022-02052-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12031-022-02052-4

Keywords

Search

Navigation