Skip to main content

SYSTEMATIC REVIEW article

Front. Med., 12 December 2024
Sec. Translational Medicine
This article is part of the Research Topic Remedying the injured brain in cognitive impairment: potential neuroimmune communication signaling and therapeutic opportunities View all 4 articles

Research hotspots and trends on NF-κB in cognitive impairment: a bibliometric analysis

Lin Bai,Lin Bai1,2Fangyuan XuFangyuan Xu2Peijia Hu,Peijia Hu1,2Zhiqiang Shen,Zhiqiang Shen1,2Su Xingxing,Su Xingxing1,2Qingqing Wang,Qingqing Wang1,2Hongliang Cheng,
Hongliang Cheng1,2*
  • 1The Second Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China
  • 2Anhui University of Chinese Medicine, Hefei, China

Background: Cognitive impairment (CI) endangers the physical and mental health of patients in a significant manner, and it is expected that the number of people with CI in China will rise to 45.33 million by 2050. Therefore, CI has become a popular research topic. Inflammatory damage plays a key role in the pathogenesis of CI, and NF-κB is an important inflammatory signaling pathway. However, no bibliometric analysis regarding the relationship between CI and NF-κB has been reported.

Methods: A bibliometric analysis regarding NF-κB and CI from 1 January 2008 to 12 December 2023 was conducted in the Science Citation Index-Expanded of the Web of Science Core Collection. The frontiers, hotspots, and trends of research regarding the role of NF-κB in CI were identified. VOSviewer and CiteSpace were used to analyze the retrieved articles and identify the author, country, institution, and keywords, as well as co-cited authors, co-cited journals, and co-cited references.

Results: We analyzed 1,468 original articles and reviews. Publications on NF-κB in CI began in 2010 and increased sharply in 2018. Hong Hao was the most represented author, having published 19 articles, and Chinese authors published more studies than those from other countries. China Pharmaceutical University published the most papers; however, the United States has a strong influence and demonstrates international cooperation. The keywords “apolipoprotein e” and “therapeutic target” demonstrated strong citation bursts, and this tendency may persist in the upcoming years. Neuroinflammation demonstrated a strong influence in research regarding NF-κB in CI. Gut microbiota and ketogenic diet also play an important role in NF-κB in CI.

Conclusion: This bibliometric analysis and visualization using VOSviewer and CiteSpace revealed that the role of NF-κB in CI has become a research hotspot. The results of this study indicated that “neuroinflammation,” “microglial,” and “pathway” remain hotspots for future research. However, studies regarding NF-κB in CI have predominantly focussed on basic research; future research should include therapeutic targets, microbiota, and ketogenic diet.

1 Introduction

A decline in memory was considered a major manifestation of cognitive impairment (CI) by Willoughby in 1929 (1). Since then, several studies have shown that individuals with age-related memory impairments have longer processing times (2). Modern research indicated that there are various types of CI, including mild cognitive impairment (MCI), functional cognitive impairment (FCI), and dementia. Mild cognitive impairment (MCI) is an intermediate phase between normal aging and dementia (3). FCI refers to patients with subjective persistent cognitive decline, but no objective signs and no association with other organic diseases (4). Dementia is an acquired syndrome in which a person’s cognitive ability is significantly reduced and significantly affects work and life (5). Since 2000, the prevalence of dementia has significantly decreased, which may be due to the increased attention paid by middle-aged and elderly patients to the prevention of cardiovascular and cerebrovascular disease risk factors, which has led to a decrease in vascular dementia (6). However, cognitive impairment remains an important factor affecting the self-care ability, social function, and quality of life of patients (7). Currently, there are approximately 55 million individuals with CI worldwide, and this number is expected to quadruple by 2050 (8).

Studies have shown that inflammatory damage is a key factor in the pathogenesis of CI (9). Microglial activation is a key initiating factor in the central inflammatory response (10). Cellular senescence in neurons and microglia is central to brain aging (11). Microglial activation serves a dual role, as microglia function as macrophages by engulfing damaged cell debris and removing antigenic material (12) while also activating the NF-κB signaling pathway to promote the synthesis and release of pro-inflammatory factors, leading to inflammation (13). Both acute and chronic inflammatory mechanisms regulate cognitive function throughout the life cycle (14). The nuclear factor NF-κB pathway has long been considered a prototypical pro-inflammatory signaling pathway (15). Therefore, the NF-κB pathway may be associated with CI.

Bibliometrics is a discipline that uses mathematics and statistics to analyze the distribution, quantitative relations, and change patterns in literature (16). The visual graph generated by bibliometric software reflects research hotspots and development trends in a certain field (17). Recently, researchers have made remarkable progress in the study of the role of NF-κB in CI, providing a broader perspective on the problems (18). However, several challenges remain to be addressed. In the current study, CiteSpace and VOSviewer software were used to conduct a bibliometric and visual analysis of articles regarding the role of NF-κB in CI that were published from 2008 to 2023.

2 Materials and methods

2.1 Literature source and data retrieval methods

A comprehensive retrieval utilizing the core collection of the Web of Science database was conducted on 12 December 2023 to identify studies pertinent to the role of NF-κB in CI. The search formula used was as follows: (TS = (“cognitive impairment” OR “Cognitive Dysfunctions” OR “Cognitive Disorder” OR “Mild Cognitive Impairment” OR “Cognitive Decline” OR “Mental Deterioration” OR “cognitive deficit”)) AND TS = (“NF-κB” OR “NF kB” OR “NF-KB” OR “NF-kappaB” OR “NF kappaB” OR “Nuclear Factor Kappa b” OR “Transcription Factor NF-kB” OR “Transcription Factor NF kB” OR “Nuclear Factor-Kappab” OR “Nuclear Factor Kappa b” OR “nuclear transcription factor-κB” OR “NF-kappa B Complex” OR “NF kappa B Complex” OR “nf kappa b”). All studies included in this analysis were published in English, and invalid documents, such as early access reports (n = 2), book chapters (n = 1), and meeting abstracts (n = 1), were excluded from the analysis. In total, 1,468 papers were retrieved, including articles (n = 1,105) and reviews (n = 363). A flowchart for screening the included studies is shown in Figure 1. The retrieved publications were exported with full records in TXT form in preparation for the bibliometric analysis.

Figure 1
www.frontiersin.org

Figure 1. The flow chart for screening the included literature.

2.2 Data analysis

The bibliometric analysis was conducted using CiteSpace (V6.2.R6; manufacturer name and location) and VOSviewer (V1.6.18; manufacturer name and location) software, both based on Java. CiteSpace is used to extract data from a large literature database to help researchers find relevant information to identify trends in a field (19). CiteSpace was used to generate co-occurrence and clustering maps of the references. VOSviewer was used to construct cooperation or co-occurrence networks of authors, countries, institutions, journals, and keywords. VOSviewer has powerful graphical display capabilities and can be adapted for large-scale data (20). Keywords and references with strong citation bursts were displayed to capture emerging tendencies. In this analysis, betweenness centrality served as an indicator for evaluating the significance of nodes in the visualization network. Centrality is a key indicator used to measure the positions of nodes in connected networks. Nodes with high intermediate centrality are often located between large clusters. Nodes with centrality >0.1 are regarded as key points. Productivity is represented by the number of papers (Np), and impact is represented by the number of citations (Nc) (21). The H-index was used to assess the researchers’ study capabilities and expected contributions (22).

3 Results

3.1 Publication trends

This bibliometric analysis included 1,468 studies regarding the role of NF-κB in CI, including 1,105 articles (75.27%) and 363 reviews (24.83%). As depicted in Figure 2, the number of publications regarding the role of NF-κB in CI increased from 2008 to 2023. However, few studies were published before 2010, indicating that the study of the correlation between CI and NF-κB is novel and growing.

Figure 2
www.frontiersin.org

Figure 2. Annual number and trend of publications.

Notably, the number of publications increased rapidly in 2018 and 2021. The peak number of publications was 227 in 2022, and 203 studies were published in 2023. This trend suggests increasing scholarly emphasis on the role of NF-κB in CI, and additional research regarding the role of NF-κB in CI is expected as this field is a research hotspot.

3.2 Analysis of authors

A total of 8,209 authors contributed to the 1,468 articles analyzed in this study. According to Price’s Law, core authors studying the role of NF-κB in CI should have published more than four papers (m = 0.749× √ nmax, and nmax = 19). Half of the papers in this analysis were produced by highly productive authors, and 46.93% (n = 689) were published by the 130 core authors.

Eleven collaborations between the cited authors showed little relationship (Figure 3A). The main studies of the core authors were published between 2016 and 2022, indicating that different groups have the potential for further collaboration. Figure 3B shows the 20 authors with the highest number of citation bursts. Hong Hao began research on cognitive impairment and NF-KB during the earlier period (2014–2018) and had the highest burst strength. Since 2000, an increasing number of new researchers have joined this field of study, and their research is ongoing. These results indicate that research regarding CI and NF-KB is a hotspot with potential for further research.

Figure 3
www.frontiersin.org

Figure 3. (A) The collaboration network map of core authors about NF-κB in CI. (B) The 20 authors with the highest number of citation bursts.

As shown in Table 1, Hong Hao was the most prolific author among the core authors, publishing 19 articles from 2014 to 2018 and being cited 664 times. Hong Hao reported that some drugs reduce hippocampal Aβ (138) and Aβ (140) and improve hippocampal plasticity and cognitive dysfunction by inhibiting neuroinflammation and apoptosis mediated by NF-κB signaling pathways (2325). Studies by Liu Xuebo were cited a mean of approximately 59 times, indicating that these authors were influential. Liu Xuebo’s research demonstrated that reduced memory impairment and amyloid formation can be achieved through NF-κB transcription, regulating the levels of inflammatory mediators and cytokines (2628).

Table 1
www.frontiersin.org

Table 1. The top 10 core authors with the most publications.

3.3 Analysis of countries and institutions

A total of 77 countries published studies regarding the role of NF-κB in CI from 2008 to 2023. The cooperation map of the countries generated using VOSviewer is shown in Figure 4. Figures 4A,B show the main cooperation network map of nations and the geographical distribution of the research output. Table 2 presents the top 10 high-output countries/regions, ranked according to the Np. China produced the most studies (n = 658), including 84 basic research papers, 23 clinical research papers, and 86 reviews, indicating that this country has made great contributions to the study of NF-κB in CI. The United States published 254 studies, including 18 basic research papers, 53 clinical research papers, and 96 reviews. South Korea published 112 studies, including 19 basic research papers, 19 clinical research papers, and 18 reviews. Studies from these three countries accounted for 69.8% of the articles included in this analysis. The United States had published the most papers until 2015, though China had the highest Np since 2016, indicating the potential for research from China.

Figure 4
www.frontiersin.org

Figure 4. (A) The cooperation network map of countries about NF-κB in CI. (B) The geographical distribution of the research output about NF-κB in CI. (C) The cooperation network map of institutions about NF-κB in CI.

Table 2
www.frontiersin.org

Table 2. The top 10 high output countries/regions ranked according to the Np.

China, the USA, and India had the greatest total cooperation, with link strengths of 128, 182, and 70, respectively (Table 2), indicating that these countries maintained close associations with other countries. China was the most prolific country, though its total link strength was not as high as that of the USA. Therefore, China should strengthen its global communication and cooperation for research regarding NF-κB in CI.

Studies from 1,794 institutions were included in this analysis (Table 2). China Pharmaceutical University had the highest output (n = 34), followed by Cairo University (n = 27), Huazhong University Science and Technology (n = 24), and China Medical University (n = 20). Iran University of Medicine Science demonstrated the highest total link strength (14), followed by Cairo University, Zhengzhou University, Guangzhou Medical University, and King Abdulaziz University, each with a link strength of 11. These results indicate that although Chinese institutions have the largest number of publications, their link strengths are low. Institutions that published at least nine articles are displayed in Figure 4C. The relative independence of these clusters provides evidence that cooperation among institutions must be strengthened.

3.4 Analysis of papers, journals, and co-cited journals

The co-occurrences of the networks of the studies included in this study are shown in Figure 5A. Due to the large number of papers, the minimum citation number was set to 88. Therefore, 148 of the 1,468 papers were selected for this analysis. A study published by Ayala in 2014 had the highest number of citations (n = 3,114). The journal co-occurrence network is shown in Figure 5B. The minimum number of citations was set to five. Therefore, 88 of the 431 journals were selected for this analysis. Molecular Neurobiology, Journal of Neuroinflammation, International Journal of Molecular Sciences, and International Immunopharmacology published numerous papers and exhibited a high influence in this field. The top 10 active journals are listed in Table 3.

Figure 5
www.frontiersin.org

Figure 5. (A) The network visualization map of papers about NF-κB in CI. (B) The co-occurrence network map of journals about NF-κB in CI.

Table 3
www.frontiersin.org

Table 3. The top 10 active journals ranked according to the Np.

Among these journals, Molecular Neurobiology had the highest Np (n = 38), and Oxidative Medicine and Cellular Longevity had the highest Nc (4,251). The Journal of Neuroinflammation and International Journal of Molecular Sciences also had high Np and Nc values, suggesting that they are highly valuable for research regarding the role of NF-κB in CI. All of the top 10 most active journals belonged to the Q2 (six journals) or Q1 (four journals) partitions, indicating that research regarding the role of NF-κB in CI published in these journals is relatively detailed. However, the impact factors (IFs) of the top 10 most active journals were not high, as 90% of the journals had an IF between 3.5 and 5.9. Therefore, the impact of research regarding the role of NF-κB in CI published in these journals was not sufficient.

Due to the large number of co-cited journals, the minimum number of co-cited journals was set at 200. Therefore, 151 of the 7,552 co-cited journals were included in this analysis (Figure 6A). J Neurosci, J Biol Chem, and Nature were identified as the most frequently cited journals. Figure 6B shows the most representative journals in terms of burst time, duration, and strength. Antioxidants (Basel), Biomolecules, and Brain Sci published articles regarding the role of NF-κB in CI from 2021 to present. Antioxidant-Basel had the second-highest burst strength, with the potential to rank first in burst strength in the near future.

Figure 6
www.frontiersin.org

Figure 6. (A) The visualization map of co-cited journals about NF-κB in CI. (B) The top 20 cited journals with the strongest citation bursts about NF-κB in CI.

3.5 Analysis for co-occurrence and citation burst of keywords

VOSviewer was used to display the co-occurrence of keywords. A total of 6,117 keywords were identified, and the minimum number of keyword occurrences was set to 15. Therefore, 186 keywords were included in this analysis. Figure 7A shows that the keywords with the highest frequency were “nf-kappa-b,” “oxidative stress,” “neuroinflammation,” “inflammation,” “Alzheimer’s disease,” “cognitive impairment,” “activation,” “brain,” and “microglia.” Figure 7B shows the most representative keywords in terms of burst time, duration, and strength. “Transcription factors,” “induced neuroinflammation,” and “mild cognitive impairment” are keywords associated with higher burst strength. Keywords “apolipoprotein e” and “therapeutic target” have strong citation bursts, and this tendency may persist in the near future. These results highlight the diversity among the research regarding the role of NF-κB in CI.

Figure 7
www.frontiersin.org

Figure 7. (A) The co-occurrence map of keywords about NF-κB in CI. (B) The top 20 cited keywords with the strongest citation bursts about NF-κB in CI. (C) The research about NF-κB in CI are sorted into chronological order.

Eleven clusters were identified on the clustering timeline (Figure 7C), including “cognitive impairment,” “nf-kappa b p65,” “nf-kappa b p65,” “mild cognitive impairment,” “postoperative cognitive dysfunction,” “natural products,” “mitochondrial dysfunction,” “gut microbiota,” “Alzheimer’s disease,” “impairment,” and “ketogenic diet.” Neuroinflammation demonstrated a high influence in NF-κB in CI. Gut microbiota and ketogenic diet also play an important role in this field of research.

3.6 Analysis of co-cited authors

Figure 8 shows the network map of co-cited authors, and Table 4 lists the top 10 co-cited authors with the highest frequency and centrality. Heneka received the most citations (n = 162), with the most citations occurring in 2021. Heneka’s research and co-cited papers focus on microglia, neuroinflammation, brain-derived neurotrophic factors, and Alzheimer’s disease (2931). Selkoe achieved the highest centrality (0.93), suggesting that his research field had large-scale collaboration and cross-integration with other disciplines (3234). More researchers should be encouraged to conduct high-quality studies in the future.

Figure 8
www.frontiersin.org

Figure 8. The network map of co-cited authors about NF-κB in CI.

Table 4
www.frontiersin.org

Table 4. The top 10 co-cited authors with the highest frequency and centrality.

3.7 Analysis of co-occurrence, clustering, and citation burst of references

Co-citation analysis facilitates the identification of the knowledge base and influential articles within a large volume of references, enabling a more comprehensive exploration of the field’s development. A total of 10 clusters with modularity (Q) and weighted mean silhouette (S) values of 0.8502 and 0.9736, respectively, were identified in this study, indicating that the cluster results were convincing. Figure 9 visually displays the 10 clusters. The largest cluster (Cluster #0, labeled by the nlrp3 inflammasome) included 29 references, followed by Cluster #1 (labeled by cholesterol diet) with 26 references and Cluster #2 (labeled by natural flavonoid) with 25 references. Cluster #4 focussed on new treatments, such as dietary plant polyphenols, activating BDNF expression, and gut microbiota composition, and had 22 references. Cluster #6 (chronic cerebral hypoperfusion rat) had 18 references, Cluster #7 (mechanistic study) had 16 references, Cluster #8 (LPS-treated adult mice) had 15 references, Cluster #9 (inhibitory effect) had 15 references, and Cluster #10 (anti-inflammatory nutraceutical) had 14 references.

Figure 9
www.frontiersin.org

Figure 9. The main 10 clusters of co-reference about NF-κB in CI.

Table 5 shows the top 10 co-cited references with high frequency and high centrality and includes five studies and five reviews. Heneka published the most frequently cited articles, suggesting that neuroinflammation may drive the pathogenesis of Alzheimer’s disease and that microglial activation plays a key role (29). Liu et al. discussed the activation of NF-κB in association with inflammation and suggested that NF-κB induces the expression of several pro-inflammatory genes (35). Jin et al. explored a new treatment in which BAI was a promising neuroprotective compound for use in the prevention and treatment of microglia-mediated neuroinflammation during the progression of Alzheimer’s disease (36). Ising et al. concluded that the incidence of Alzheimer’s disease is due to microglia and NLRP3 inflammasome activation in the pathogenesis of tauopathies (31). Kinney et al. reported how to regulate microglia to improve the prospects of patients with AD (37).

Table 5
www.frontiersin.org

Table 5. The top 10 co-cited references with high frequency and high centrality.

Other frequently cited references included the study by Liddelow et al., who found that activated microglia induce neurotoxic reactive astrocytes, which are abundant in various human neurodegenerative diseases including Alzheimer’s disease, Parkinson’s disease, and multiple sclerosis (38). Rehman et al. also explored a novel treatment with anthocyanins that effectively attenuated neuroinflammation-mediated memory impairment and CI. The results of this previous study suggested that anthocyanins are a promising anti-neuroinflammatory agent for neurodegenerative diseases such as Alzheimer’s disease (39). Tönnies et al. emphasized the involvement of oxidative stress in the development of AD and the dual role of ROS in therapeutic strategies for neurodegenerative diseases (40). Zhao et al. revealed that inflammation is involved in the progression of CI by stimulating microglia through activation of the NF-κB signaling pathway (41). DeTure et al. provided an overview of Alzheimer’s disease pathology, which may affect the diagnosis and treatment.

Seven of these 10 previous studies were in the Q1 region (42). Basic research and mechanism research studies were mainly concentrated in microglia and Alzheimer’s disease. The subject with the highest reference centrality was oxidative stress, indicating that this field is closely integrated with other disciplines.

The concept of reference bursts suggests that scholarly attention should focus on specific articles within a particular timeframe in a given research field. Figure 9B displays the top 20 references with the strongest citation bursts. Generally, the most co-cited references had the strongest citation bursts, including studies by Zhao, Muhammad, Kinney, Duncombe, and DeTure, indicating the emerging trends or increasing interests in the field.

4 Discussion

4.1 Summary of basic information

In this study, a bibliometric analysis was conducted using VOSviewer and CiteSpace to identify the development trends and hotspots of research regarding the role of NF-κB in CI. A total of 1,468 original articles and reviews published from 2008 to 2023 were collected from the core collection of the Web of Science database. Publications regarding the role of NF-κB in CI began in 2010 and increased sharply in 2018. This increase may be due to the fact that the number of patients with dementia increased with the trend of global aging or due to the fact that treatments based on previous mechanism-based studies had little effect on dementia. Therefore, more researchers investigated the role of NF-κB in CI.

The core author analysis revealed that Hong Hao published the most studies in this field, with a total of 19 articles. The top three authors were observed in the largest cluster together (Figure 3A) and focussed on the mechanisms of NF-κB in CI. However, the most recent publication from these authors was in 2019. Five Chinese authors were included among the top 10 authors, which is consistent with the country analysis. Among the 77 countries represented in this study, China published the most literature, followed by the United States and South Korea. Therefore, China has a dominant position in the research field regarding the role of NF-κB in CI. The USA had the highest total link strength, indicating that the USA has strong influence and the most international cooperation. China Pharmaceutical University published the most studies in this field and was in a different cluster than other core institutions of Cairo University, Huazhong University Science and Technology, and China Medical University. The timing of the research conducted at each institution is represented in the figures. Famous institutions, such as Harvard University, have published studies regarding the role of NF-κB in CI, suggesting that this research is very valuable and promising (Figure 4C).

4.2 Research hotspots

Based on the visualization analysis of keywords, co-cited authors, and references, several research hotspots were identified.

4.2.1 CI and Alzheimer’s disease

With the sharp increase in the elderly population, CI has become a research hotspot. The United Nations Department of Economic and Social Affairs Population Division predicts that the number of elderly people will reach 1.4 billion by 2030 (43). The concept of CI is broad and includes mild-to-severe CI, such as Alzheimer’s disease, vascular CI, mixed (Alzheimer’s and vascular), and dementia with Lewy bodies (44). Mild CI showed a strong citation burst in this study. Mild CI refers to CI that does not meet the diagnostic criteria for dementia. Until 1999, mild CI was considered a precursor to Alzheimer’s disease. In recent years, it has been determined that not all mild CI develops into Alzheimer’s disease (45). Alzheimer’s disease plays a pivotal role in the study of CI. The Web of Science Core Collection includes 139,122 studies regarding CI and 129,767 studies regarding Alzheimer’s disease. Therefore, Alzheimer’s disease is a hotspot in the CI research field.

4.2.2 Mechanisms

4.2.2.1 Oxidative stress

Sies first proposed the concept of oxidative stress in 1985 (46). It is widely used in the fields of biology and medicine (47). Oxidative stress may be a key mechanism leading to CI and neurodegenerative diseases (48). The brain is highly sensitive and susceptible to oxidation due to complex and interconnected pathologies, such as unsaturated lipid enrichment, glucose, mitochondria, calcium, and redox signaling that render the brain susceptible to oxidative stress (49). Previous studies have shown that the damage caused by oxidative stress, including damage to the immune system, is caused by the activation of NF-κB (50). These findings suggest that the pathogenesis of CI is multi-faceted.

4.2.2.2 Inflammation and NF-κB

Inflammation is an important pathogenesis of CI (51), and the NF-κB signaling pathway is a classic inflammatory pathway in vivo (15). The NF-κB signaling pathway is mostly inactive. NF-κB protein is inhibited by IKB, and IKB kinase (IKK) phosphorylates the inhibitory protein IKB to ubiquitinate IKB and activate the NF-κB signaling pathway (52). In the classical NF-κB pathway, upstream inflammatory factors (53) induce IKK-mediated phosphorylation of IKB at ser32 and 36, activating downstream inflammatory genes and apoptosis suppressor genes (IAPs) (54). IAPs are major regulators of inflammatory responses (55). Inflammatory injury is a key link in the pathogenesis of cognitive dysfunction, which causes neuronal damage and activates the immune response (56).

4.2.2.3 Microglia and Neuroinflammation

Microglia are the main effectors of inflammation in the central nervous system. As the first line of defense in the central nervous system, microglia play an important role in inflammatory responses and are regulated bidirectionally. Microglia perform the function of macrophages, including the phagocytosis of damaged cell debris and the removal of antigenic substances (12). In addition, microglia activate and release cytokines such as IL-1, promote the proliferation of astrocytes, and produce inflammatory factors such as NO and TNF-α that cause nerve damage (57). Neuroinflammation is closely related to nerve damage and disrupts neural function, ultimately resulting in CI (58). Activated microglia are a pathological feature of neuroinflammation observed in the setting of CI (36).

4.3 Future research trends

“Neuroinflammation,” “microglial,” and “pathway” remain hotspots of research regarding the role of NF-κB in CI (59). Research regarding CI is more inclined toward vascular dementia caused by stroke, which may be due to the reversible nature of vascular dementia as early interventions can achieve good social and economic results (60). “Therapeutic target” is a hotspot keyword from 2021, and the gut microbiome is a therapeutic target for CI. The gut–brain axis is closely associated with cognition (61). Lipopolysaccharides are another hotspot for future research and are thought to act as a mediator between the gut microbiome and CI (62) and to induce neuroinflammation leading to CI (63). In conclusion, the future trend of research regarding the role of NF-κB in CI is integrated and systematic. New elements are constantly added to classical research, such as apolipoproteins and tau proteins, which are mostly included in research regarding neurodegenerative diseases (64). At the same time, more public funding is needed for basic research of NF-κB in CI. Multidisciplinary collaboration and more publications on cognitive impairment are encouraged to guide clinics and enable large-scale clinical research through basic research findings.

4.4 Study limitations

This study is not without limitations. First, the most recent studies regarding the role of NF-κB in CI were excluded, which may lead to a hysteretic quality. Second, only the core collection of the Web of Science was included in the literature search; therefore, important literature from other databases may have been overlooked. Third, the CiteSpace data analysis process parameters must be defined separately, which affects the accuracy of the data analysis to a certain extent. Fourth, due to the limitations of the VOSviewer and CiteSpace software, the data analysis is not sufficiently comprehensive. Future studies should include non-English literature and literature from other sources.

5 Conclusion

This is the first bibliometric analysis regarding the role of NF-κB in CI in which VOSviewer and CiteSpace were used. The results of this bibliometric study indicate that research regarding NF-κB in CI is currently growing at a rapid pace. China has published the most papers in this field, and its research potential in this area is huge. The United States remains the biggest influence in this area. The role of oxidative stress, inflammation, and microglia in NF-κB signaling was a hotspot of CI research. Emerging studies have focused on therapeutic targets, microbiota, and ketogenic diets. Collaborative research is necessary in this field.

Author contributions

LB: Funding acquisition, Supervision, Writing – original draft, Writing – review & editing. FX: Data curation, Software, Writing – review & editing. PH: Supervision, Validation, Writing – review & editing. ZS: Data curation, Software, Writing – review & editing. SX: Data curation, Software, Writing – review & editing. QW: Formal analysis, Software, Writing – review & editing. HC: Conceptualization, Funding acquisition, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This study received financial support from the Health Commission of Anhui Province (AHWJ2023A30014), the Anhui University Research Project (2024AH050938), and the Anhui Provincial Department of Science and Technology (2022e07020026), Hefei, China.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Willoughby, RR. Incidental learning. J Educ Psychol. (1929) 20:671–82. doi: 10.1037/h0071404

Crossref Full Text | Google Scholar

2. Salthouse, TA. The processing-speed theory of adult age differences in cognition. Psychol Rev. (1996) 103:403–28. doi: 10.1037/0033-295X.103.3.403

Crossref Full Text | Google Scholar

3. Anderson, ND. State of the science on mild cognitive impairment (MCI). CNS Spectr. (2019) 24:78–87. doi: 10.1017/S1092852918001347

Crossref Full Text | Google Scholar

4. Ball, HA, McWhirter, L, Ballard, C, Bhome, R, Blackburn, DJ, Edwards, MJ, et al. Functional cognitive disorder: dementia's blind spot. Brain. (2020) 143:2895–903. doi: 10.1093/brain/awaa224

PubMed Abstract | Crossref Full Text | Google Scholar

5. Langa, KM, Larson, EB, Crimmins, EM, Faul, JD, Levine, DA, Kabeto, MU, et al. A comparison of the prevalence of dementia in the United States in 2000 and 2012. JAMA Intern Med. (2017) 177:51–8. doi: 10.1001/jamainternmed.2016.6807

PubMed Abstract | Crossref Full Text | Google Scholar

6. Reamy, BV, Williams, PM, and Kuckel, DP. Prevention of cardiovascular disease. Prim Care. 45:25–44. doi: 10.1016/j.pop.2017.11.003

Crossref Full Text | Google Scholar

7. Siervo, M, Babateen, A, Alharbi, M, Stephan, B, and Shannon, O. Dietary nitrate and brain health. Too much ado about nothing or a solution for dementia prevention? Br J Nutr. (2022) 128:1130–6. doi: 10.1017/S0007114522002434

Crossref Full Text | Google Scholar

8. Anonymous. Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the global burden of disease study 2019. Lancet Public Health. (2022) 7:e105–25. doi: 10.1016/S2468-2667(21)00249-8

Crossref Full Text | Google Scholar

9. Slaney, C, Sallis, HM, Jones, HJ, Dardani, C, Charge Inflammation Working GroupTilling, K, et al. Association between inflammation and cognition: triangulation of evidence using a population-based cohort and Mendelian randomization analyses. Brain Behav Immun. (2023) 110:30–42. doi: 10.1016/j.bbi.2023.02.010

PubMed Abstract | Crossref Full Text | Google Scholar

10. Lee, W, Ku, S, Yoo, H, Song, K, and Bae, J. Andrographolide inhibits HMGB1-induced inflammatory responses in human umbilical vein endothelial cells and in murine polymicrobial sepsis. Acta Physiol (Oxf). (2014) 211:176–87. doi: 10.1111/apha.12264

Crossref Full Text | Google Scholar

11. Raz, N, and Daugherty, AM. Pathways to brain aging and their modifiers: free-radical induced energetic and neural decline in senescence (FRIENDS) model–a mini review. Gerontology. (2017) 64:49–57. doi: 10.1159/000479508

PubMed Abstract | Crossref Full Text | Google Scholar

12. Singh, A, Ansari, VA, Mahmood, T, Ahsan, F, and Wasim, R. Neurodegeneration: microglia: Nf-Kappab signaling pathways drug. Drug Res (Stuttg). (2022) 72:496–9. doi: 10.1055/a-1915-4861

PubMed Abstract | Crossref Full Text | Google Scholar

13. Taylor, RA, and Sansing, LH. Microglial responses after ischemic stroke and intracerebral hemorrhage. Clin Dev Immunol. (2013) 2013:746068. doi: 10.1155/2013/746068

Crossref Full Text | Google Scholar

14. Tangestani Fard, M, Savage, KM, and Stough, CK. Peripheral inflammation marker relationships to cognition in healthy older adults - a systematic review. Psychoneuroendocrinology. (2022) 144:105870. doi: 10.1016/j.psyneuen.2022.105870

PubMed Abstract | Crossref Full Text | Google Scholar

15. Lawrence, T. The nuclear factor NF-kappaB pathway in inflammation. Cold Spring Harb Perspect Biol. (2009) 1:a001651. doi: 10.1101/cshperspect.a001651

Crossref Full Text | Google Scholar

16. Chen, YChen, CM, Liu, Z, Hu, Z, and Wang, XL. The methodology function of CiteSpace mapping knowledge domains. Stud Sci Sci, (2015), 33: 242–253. doi: 10.16192/j.cnki.1003-2053.2015.02.009

Crossref Full Text | Google Scholar

17. Li, D, Yu, D, Li, Y, and Yang, R. A bibliometric analysis of PROTAC from 2001 to 2021. Eur J Med Chem. (2022) 244:114838. doi: 10.1016/j.ejmech.2022.114838

PubMed Abstract | Crossref Full Text | Google Scholar

18. Yl, L, Chen, CM, Zhou, Y, et al. Twenty years of research on borderline personality disorder: a scientometric analysis of hotspots, bursts, and research trends. Front Psych. (2024) 15:1361535. doi: 10.3389/fpsyt.2024.1361535

Crossref Full Text | Google Scholar

19. Liu, X, Zhao, S, Tan, L, Tan, Y, Wang, Y, Ye, Z, et al. Frontier and hot topics in electrochemiluminescence sensing technology based on CiteSpace bibliometric analysis. Biosens Bioelectron. (2022) 201:113932. doi: 10.1016/j.bios.2021.113932

PubMed Abstract | Crossref Full Text | Google Scholar

20. Jan, N, Van Eck, L, and Waltman, W. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics. (2010) 84:523–38. doi: 10.1007/s11192-009-0146-3

Crossref Full Text | Google Scholar

21. Soteriades, ES, and Falagas, ME. Comparison of amount of biomedical research originating from the European Union and the United States. BMJ. (2005) 331:192–4. doi: 10.1136/bmj.331.7510.192

PubMed Abstract | Crossref Full Text | Google Scholar

22. Ball, P. Achievement index climbs the ranks. Nature. (2007) 448:737. doi: 10.1038/448737a

PubMed Abstract | Crossref Full Text | Google Scholar

23. Tang, SS, Ren, Y, Ren, XQ, Cao, JR, Hong, H, Ji, H, et al. ERα and/or ERβ activation ameliorates cognitive impairment, neurogenesis and apoptosis in type 2 diabetes mellitus mice. Exp Neurol. (2019) 311:33–43. doi: 10.1016/j.expneurol.2018.09.002

Crossref Full Text | Google Scholar

24. Zhong, KL, Chen, F, Hong, H, Ke, X, Lv, YG, Tang, SS, et al. New views and possibilities of antidiabetic drugs in treating and/or preventing mild cognitive impairment and Alzheimer's disease. Metab Brain Dis. (2018) 33:1009–18. doi: 10.1007/s11011-018-0227-1

Crossref Full Text | Google Scholar

25. Chen, GL, Liu, CH, Meng, GL, Zhang, C, Chen, F, Tang, S, et al. Neuroprotective effect of mogrol against Aβ1-42-induced memory impairment neuroinflammation and apoptosis in mice. J Pharm Pharmacol. (2019) 71:869–77. doi: 10.1111/jphp.13056

PubMed Abstract | Crossref Full Text | Google Scholar

26. Liu, Q, Chen, YW, Shen, C, Xiao, Y, Wang, Y, Liu, Z, et al. Chicoric acid supplementation prevents systemic inflammation-induced memory impairment and amyloidogenesis via inhibition of NF-κB. FASEB J. (2017) 31:1494–507. doi: 10.1096/fj.201601071R

PubMed Abstract | Crossref Full Text | Google Scholar

27. Mulati, A, Ma, S, Zhang, H, Ren, B, Zhao, B, Wang, L, et al. Sea-buckthorn flavonoids alleviate high-fat and high-fructose diet-induced cognitive impairment by inhibiting insulin resistance and Neuroinflammation. J Agric Food Chem. (2020) 68:5835–46. doi: 10.1021/acs.jafc.0c00876

PubMed Abstract | Crossref Full Text | Google Scholar

28. Liu, ZG, Dai, XS, Zhang, HB, Shi, R, Hui, Y, Jin, X, et al. Gut microbiota mediates intermittent-fasting alleviation of diabetes-induced cognitive impairment. Nat Commun. (2020) 11:855. doi: 10.1038/s41467-020-14676-4

PubMed Abstract | Crossref Full Text | Google Scholar

29. Heneka, MT, Carson, MJ, Khoury, JE, Landreth, GE, Brosseron, F, Feinstein, DL, et al. Neuroinflammation in Alzheimer's disease. Lancet Neurol. (2015) 14:388–405. doi: 10.1016/S1474-4422(15)70016-5

PubMed Abstract | Crossref Full Text | Google Scholar

30. Sarlus, H, and Heneka, MT. Microglia in Alzheimer's disease. J Clin Invest. (2017) 127:3240–9. doi: 10.1172/JCI90606

PubMed Abstract | Crossref Full Text | Google Scholar

31. Ising, C, Venegas, C, Zhang, SS, Scheiblich, H, Schmidt, SV, Vieira-Saecker, A, et al. NLRP3 inflammasome activation drives tau pathology. Nature. (2019) 575:669–73. doi: 10.1038/s41586-019-1769-z

PubMed Abstract | Crossref Full Text | Google Scholar

32. Selkoe, DJ, and Hardy, J. The amyloid hypothesis of Alzheimer's disease at 25 years. EMBO Mol Med. (2016) 8:595–608. doi: 10.15252/emmm.201606210

Crossref Full Text | Google Scholar

33. Hong, S, Beja-Glasser, VF, Nfonoyim, BM, Frouin, A, Li, S, Ramakrishnan, S, et al. Complement and microglia mediate early synapse loss in Alzheimer mouse models. Science. (2016) 352:712–6. doi: 10.1126/science.aad8373

PubMed Abstract | Crossref Full Text | Google Scholar

34. Selkoe, DJ. Alzheimer's disease is a synaptic failure. Science. (2002) 298:789–91. doi: 10.1126/science.1074069

Crossref Full Text | Google Scholar

35. Liu, T, Zhang, LY, Joo, DH, and Sun, SC. NF-κB signaling in inflammation. Signal Transduct Target Ther. (2017) 2:17023. doi: 10.1038/sigtrans.2017.23

PubMed Abstract | Crossref Full Text | Google Scholar

36. Jin, X, Liu, MY, Zhang, DF, Zhong, X, du, K, Qian, P, et al. Baicalin mitigates cognitive impairment and protects neurons from microglia-mediated neuroinflammation via suppressing NLRP3 inflammasomes and TLR4/NF-κB signaling pathway. CNS Neurosci Ther. (2019) 25:575–90. doi: 10.1111/cns.13086

PubMed Abstract | Crossref Full Text | Google Scholar

37. Kinney, JW, Bemiller, SM, Murtishaw, AS, Leisgang, AM, Salazar, AM, and Lamb, BT. Murtishaw inflammation as a central mechanism in Alzheimer’s disease. Alzheimers Dement. (2018) 4:575–90. doi: 10.1016/j.trci.2018.06.014

Crossref Full Text | Google Scholar

38. Liddelow, SA, Guttenplan, KA, Clarke, LE, Bennett, FC, Bohlen, CJ, Schirmer, L, et al. Neurotoxic reactive astrocytes are induced by activated microglia. Nature. (2017) 541:481–7. doi: 10.1038/nature21029

PubMed Abstract | Crossref Full Text | Google Scholar

39. Rehman, SU, Shah, SA, Ali, T, Chung, JI, and Kim, MO. Anthocyanins reversed D-galactose-induced oxidative stress and Neuroinflammation mediated cognitive impairment in adult rats. Mol Neurobiol. (2017) 54:255–71. doi: 10.1007/s12035-015-9604-5

PubMed Abstract | Crossref Full Text | Google Scholar

40. Tönnies, E, and Trushina, E. Oxidative stress, synaptic dysfunction, and Alzheimer's disease. J Alzheimers Dis. (2017) 57:1105–21. doi: 10.3233/JAD-161088

PubMed Abstract | Crossref Full Text | Google Scholar

41. Zhao, JY, Wang, JQ, Wu, L, Zhang, F, Chen, ZP, Li, WD, et al. Emodin attenuates cell injury and inflammation in pancreatic acinar AR42J cells. J Asian Nat Prod Res. (2019) 21:186–95. doi: 10.1080/10286020.2017.1408594

PubMed Abstract | Crossref Full Text | Google Scholar

42. DeTure, MA, and Dickson, DW. The neuropathological diagnosis of Alzheimer's disease. Mol Neurodegener. (2019) 14:32. doi: 10.1186/s13024-019-0333-5

PubMed Abstract | Crossref Full Text | Google Scholar

43. Jongsiriyanyong, S, and Limpawattana, P. Mild cognitive impairment in clinical practice: a review article. Am J Alzheimers Dis Other Dement. (2018) 33:500–7. doi: 10.1177/1533317518791401

PubMed Abstract | Crossref Full Text | Google Scholar

44. Tangalos, EG, and Petersen, RC. Mild cognitive impairment in geriatrics. Clin Geriatr Med. (2018) 34:563–89. doi: 10.1016/j.cger.2018.06.005

Crossref Full Text | Google Scholar

45. Palmer, NP, Ortega, BT, Joshi, P, et al. Cognitive impairment in older adults: epidemiology, diagnosis, and treatment. Psychiatr Clin North Am. (2022) 45:639–61. doi: 10.1016/j.psc.2022.07.010

Crossref Full Text | Google Scholar

46. Sies, H. Oxidative stress. London: Academic Press, pp. 1–507. (1985).

Google Scholar

47. Sies, H. Oxidative stress: a concept in redox biology and medicine. Redox Biol. (2015) 4:180–3. doi: 10.1016/j.redox.2015.01.002

PubMed Abstract | Crossref Full Text | Google Scholar

48. Ionescu-Tucker, A, and Cotman, CW. Emerging roles of oxidative stress in brain aging and Alzheimer's disease. Neurobiol Aging. (2021) 107:86–95. doi: 10.1016/j.neurobiolaging.2021.07.014

Crossref Full Text | Google Scholar

49. Cobley, JN, Fiorello, ML, and Bailey, DM. 13 reasons why the brain is susceptible to oxidative stress. Redox Biol. (2018) 15:490–503. doi: 10.1016/j.redox.2018.01.008

PubMed Abstract | Crossref Full Text | Google Scholar

50. Knight, JA. Review: free radicals, antioxidants, and the immune system. Ann Clin Lab Sci. (2000) 30:145–58.

PubMed Abstract | Google Scholar

51. Shi, HS, Zhang, XC, Si, G, and Jia, H. Quality of the evidence supporting the role of acupuncture interventions for Vascular dementia. Neuropsychiatr Dis Treat. (2023) 19:27–48. doi: 10.2147/NDT.S389924

PubMed Abstract | Crossref Full Text | Google Scholar

52. Kunnumakkara, AB, Shabnam, B, Girisa, S, Harsha, C, Banik, K, Devi, TB, et al. Inflammation, NF-κB, and chronic diseases: how are they linked? Crit Rev Immunol. (2020) 40:1–39. doi: 10.1615/CritRevImmunol.2020033210

Crossref Full Text | Google Scholar

53. Poma, P. NF-κB and disease. Int J Mol Sci. (2020) 21:9181. doi: 10.3390/ijms21239181

PubMed Abstract | Crossref Full Text | Google Scholar

54. Cartier, J, and Marivin, A. Berthelet J.IAPs: a central element in the NF-κB activating signaling pathway. Med Sci (Paris). (2012) 28:69–75. doi: 10.1051/medsci/2012281019

PubMed Abstract | Crossref Full Text | Google Scholar

55. Crawford, N, Stott, KJ, Sessler, T, McCann, C, McDaid, W, Lees, A, et al. Clinical positioning of the IAP antagonist Tolinapant (ASTX660) in colorectal Cancer. Mol Cancer Ther. (2021) 20:1627–39. doi: 10.1158/1535-7163.MCT-20-1050

PubMed Abstract | Crossref Full Text | Google Scholar

56. Rosenberg, GA. Extracellular matrix inflammation in vascular cognitive impairment and dementia. Clin Sci (Lond). (2017) 131:425–37. doi: 10.1042/CS20160604

Crossref Full Text | Google Scholar

57. Xu, L, He, D, and Bai, Y. Microglia-mediated inflammation and neurodegenerative disease. Mol Neurobiol. (2016) 53:6709–15. doi: 10.1007/s12035-015-9593-4

Crossref Full Text | Google Scholar

58. Li, Y, Liu, TT, Li, YT, Han, D, Hong, J, Yang, N, et al. Baicalin ameliorates cognitive impairment and protects microglia from LPS-induced Neuroinflammation via the SIRT1/HMGB1 pathway. Oxidative Med Cell Longev. (2020) 2020:1–16. doi: 10.1155/2020/4751349

Crossref Full Text | Google Scholar

59. Zhang, MG, Chen, HQ, Zhang, WL, Liu, Y, Ding, L, Gong, J, et al. Biomimetic remodeling of microglial riboflavin metabolism ameliorates cognitive impairment by modulating Neuroinflammation. Adv Sci (Weinh). (2023) 10:e2300180. doi: 10.1002/advs.202300180

PubMed Abstract | Crossref Full Text | Google Scholar

60. Wong, EC, and Chui, HC. Vascular Cognitive impairment and dementia. Continuum (Minneap Minn). (2022) 28:750–80. doi: 10.1212/CON.0000000000001124

Crossref Full Text | Google Scholar

61. Sun, Y, Baptista, LC, Roberts, LM, Jumbo-Lucioni, P, McMahon, LL, Buford, TW, et al. The gut microbiome as a therapeutic target for cognitive impairment. J Gerontol A Biol Sci Med Sci. (2020) 75:1242–50. doi: 10.1093/gerona/glz281

Crossref Full Text | Google Scholar

62. Wang, HD, Zhang, MS, Li, J, Liang, J, Yang, M, Xia, G, et al. Gut microbiota is causally associated with poststroke cognitive impairment through lipopolysaccharide and butyrate. Neuroinflammation. (2022) 19:76. doi: 10.1186/s12974-022-02435-9

Crossref Full Text | Google Scholar

63. Zhao, JY, Bi, W, Xiao, S, Lan, X, Cheng, X, Zhang, J, et al. Neuroinflammation induced by lipopolysaccharide causes cognitive impairment in mice. Sci Rep. (2019) 9:5790. doi: 10.1038/s41598-019-42286-8

Crossref Full Text | Google Scholar

64. Yin, Y, and Wang, Z. Apo E and neurodegenerative diseases in aging. Adv Exp Med Biol. (2018) 1086:77–92. doi: 10.1007/978-981-13-1117-8_5

Crossref Full Text | Google Scholar

Keywords: NF-κB, cognitive impairment, bibliometric analysis, CiteSpace, VOSviewer

Citation: Bai L, Xu F, Hu P, Shen Z, Xingxing S, Wang Q and Cheng H (2024) Research hotspots and trends on NF-κB in cognitive impairment: a bibliometric analysis. Front. Med. 11:1432455. doi: 10.3389/fmed.2024.1432455

Received: 14 May 2024; Accepted: 07 November 2024;
Published: 12 December 2024.

Edited by:

Rong Wang, Capital Medical University, China

Reviewed by:

Abdul Nasir, Zhengzhou University, China
Ming Chen, Fudan University, China

Copyright © 2024 Bai, Xu, Hu, Shen, Xingxing, Wang and Cheng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Hongliang Cheng, Y2hlbmdobDE5NzUwODE3QDE2My5jb20=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.