Skip to main content

ORIGINAL RESEARCH article

Front. Immunol., 04 October 2022
Sec. Inflammation
This article is part of the Research Topic Interdependencies and Interfaces in Bone Regeneration - The Immune System at its Core View all 10 articles

Bibliometric and visualization analysis of macrophages associated with osteoarthritis from 1991 to 2021

Zhen Yang,Zhen Yang1,2Jianjing LinJianjing Lin3Hui Li,Hui Li1,2Zihao He,Zihao He1,2Kai Wang,Kai Wang1,2Liandi LeiLiandi Lei4Hao Li*Hao Li5*Dan Xing,*Dan Xing1,2*Jianhao Lin,*Jianhao Lin1,2*
  • 1Arthritis Clinical and Research Center, Peking University People’s Hospital, Beijing, China
  • 2Arthritis Institute, Peking University, Beijing, China
  • 3Department of Sports Medicine and Rehabilitation, Peking University Shenzhen Hospital, Shenzhen, China
  • 4Center of Medical and Health Analysis, Peking University, Beijing, China
  • 5School of Medicine, Nankai University, Tianjin, China

Background: Macrophages significantly contributes to symptomology and structural progression of osteoarthritis (OA) and raise increasing attention in the relative research field. Recent studies have shown that tremendous progress has been made in the research of macrophages associated with osteoarthritis. However, a comprehensive bibliometric analysis is lacking in this research field. This study aimed to introduce the research status as well as hotspots and explore the field of macrophages research in OA from a bibliometric perspective.

Methods: This study collected 1481 records of macrophages associated with osteoarthritis from 1991 to 2021 in the web of science core collection (WoSCC) database. CiteSpace, VOSviewer, and R package “bibliometrix” software were used to analyze regions, institutions, journals, authors, and keywords to predict the latest trends in macrophages associated with osteoarthritis research.

Results: The number of publications related to macrophages associated with osteoarthritis is increasing annually. China and the USA, contributing more than 44% of publications, were the main drivers for research in this field. League of European Research Universities was the most active institution and contributed the most publications. Arthritis and Rheumatism is the most popular journal in this field with the largest publications, while Osteoarthritis and Cartilage is the most co-cited journal. Koch AE was the most prolific writer, while Bondeson J was the most commonly co-cited author. “Rheumatology”, “Orthopedics”, and “Immunology” were the most widely well-represented research areas of OA associated macrophages. “Rheumatoid arthritis research”, “clinical symptoms”, “regeneration research”, “mechanism research”, “pathological features”, and “surgery research” are the primary keywords clusters in this field.

Conclusion: This is the first bibliometric study comprehensively mapped out the knowledge structure and development trends in the research field of macrophages associated with osteoarthritis in recent 30 years. The results comprehensively summarize and identify the research frontiers which will provide a reference for scholars studying macrophages associated with osteoarthritis.

Introduction

Osteoarthritis (OA) remains the most common form of arthritic disease which affects the whole joint. By 2030, there would be 35% of people in the general population suffering from OA, and it is predicted to be the single greatest cause of disability (1). In the USA, over 27 million OA patients are estimated to suffer from this disease, and caused tremendous social and economic burdens (2). It is now accepted that some risk factors such as genetic predisposition, obesity, aging, and joint trauma plays a major role in OA development (3). Despite improved pain alleviation through the development of treatment therapies, the joint function restoration and damaged cartilage repair for OA patients is still lacking promising advances (4). Recently, OA has been defined as a low-degrade inflammatory disease that involving cartilage loss, synovitis, subchondral bone remodeling, osteophyte formation and meniscus and ligament changes (5). Therefore, it is urgent to elucidate the pathophysiological basis of inflammation and tissue damage repair processes of OA to benefit the advances of prognosis and therapeutics of OA diseases.

In recent years, the role of macrophage-mediated inflammation in the pathogenesis of OA has gained wide attention. Currently, the role of synovial inflammation in the OA progression still remains to be determined. It has been demonstrated that multiple factors act as danger-associated molecular patterns (DAMPs) that result in macrophage activation can initiate synovial inflammation during OA. One possible theory is that, exogenous pathogen-associated molecular patterns (PAMPs) and endogenous DAMPs selectively activate surface pattern recognition receptors (PRRs) on macrophages, subsequently induce inflammatory cytokines and chemokines secretion (6). Another primary activation way refers to inflammasome mediated pathways, such as the NLR pyrin domain containing 3 (NLRP3) inflammasome. NLRP3, belongs to a member of NLR family, was proved to recognize different DAMPs to form NLRP3 inflammasome in the cytosol and initiate inflammations (7). As such, macrophages could serve as a possible treatment target in OA. For example, the clearance of macrophages by anti-CD14-conjugated magnetic beads successfully reduce production of IL-1 and TNF-α (8). Moreover, as a kind of plastic cells, macrophages are classified as classically activated M1 and alternatively activated M2 macrophages (9). The macrophage subtypes can be generated in vitro, as interferon (IFN)-γ/lipopolysaccharide (LPS) can induce M1 subtype formation while M2 macrophages can be generated by exposing M0 macrophages to interleukin (IL)-4/IL-13 (10, 11). Compared to pro-inflammatory M1 macrophages, M2 macrophages are known as immunomodulatory macrophages and contribute to tissue repair and regeneration (12, 13). This information indicates the significance of regulating macrophage polarization in alleviating OA progression. For instance, a canine OA model treated with intra-articular injections of recombinant human IL-1ra which refer to M2 marker presented an reduction of osteophytes formation and cartilage loss (14). However, the imbalance between M1 and M2 macrophages requires further investigations and new advances of macrophage reprogramming may yield significance for prevent OA. Despite the increasing interests on the topic of OA associated macrophages, comprehensive and meaningful analysis of publication trends of this research area remains highly insufficient and requires to be summarized urgently.

Recently, bibliometric analysis has been widely adopted to analyze massive scientific research data and identify developing trends (15). Importantly, it can summarize publication evolution, predict research hotspots, and further evaluate frontiers in specific fields though a citation network (1618). As far as we know, although related academic researchers have published bibliometric studies of stem cells in OA (19), no similar analysis about macrophage in OA have as yet been reported. Notably, several bibliometric tools such as CiteSpace, VOSviewer, R package “bibliometrix” have been applied to visualize the specific medical literature analysis fields (2022). Therefore, in the present study, we used bibliometric statistics to fill this knowledge gap. This paper comprehensively analyzed the literatures related to OA associated macrophages and performed visualization analysis over the last three decades (from 1991 to 2021) to identify its significant features and predict future research directions.

Materials and methods

Data source and search strategy

Web of science core collection (WoSCC) database originating from Clarivate Analytics was considered one of the most authoritative and comprehensive database platforms which contains more than 12000 international academic journals (23). Therefore, we selected it to obtain global academic information for bibliometric analysis according to previous studies (2426). All the published literatures were extracted from WOS and the date of the search were from 1 January 1991 to 31 December 2021. In present study, the search terms were as follows: theme = osteoarthritis or degenerative arthritis *AND theme = macrophage or macrophages or histocyte or histocytes AND publishing year = (1991–2021) AND Document types = (ARTICLE OR REVIEW) AND Language = (English). The detailed information of certain countries of regions in the WoSCC was refined by indexing country/region when search. Additionally, all valid data of literatures, including publishing year, title, author names, nationalities, affiliations, abstract, keywords, and name of journals were saved in the format of download.txt files from WoSCC database and subsequently imported into Excel 2021. Coauthors (YZ and LJJ) independently searched and extracted all data from these literatures. Any disagreement was resolved by consulting with experts to reach the final consensus. Finally, all the coauthors separately cleaned and analyzed the data with Origin 2021 and GraphPad Prism 8.

Bibliometric analysis and visualization

As we know, the intrinsic function of WoSCC was to explore the basic features of eligible literatures. Therefore, the number of literatures and corresponding citations were reflected. The relative research interest (RRI) was deemed as the number of publications in a certain field by all field literatures per year. The world map was acquired by R software including python + numpy + scipy + matplotlib. The time curve of publications was drawn according to previous article (19). The H-index, which refers to a scholar who has published H papers and they have been cited at least H times, was defined to measure the impact of scientific research (27). We chose the VOSviewer (Leiden University, Leiden, The Netherlands) software to construct and visualize bibliometric networks of the publications in our present study. And the VOSviewer was performed for analyzing the bibliographic coupling, co-citation, and co-occurrence analyses in detail. In addition, we choose R package “bibliometrix” software to visualize publications production among countries, map the international collaboration between countries, and visualize a three-field plot analysis. Moreover, CiteSpace (6.1. R2) which was developed by Professor Chen C, was used to construct dual-map overlay for journals, cluster analysis of co-cited keywords, and detection of references and keywords with intense citation bursts.

Results

Overall performance of global literatures

According to the search criteria, a total of 1556 literatures were collected from the year of 1991 to 2021. Subsequently, 1489 of literatures were identified by excluding the meeting abstract (20), proceedings papers (3), correction book chapter (3), and retracted publication (1). Finally, 1481 literatures were identified by excluding 8 non-English literatures (Figure 1). As shown in Figure 2A, the trend of global literatures was increasing steadily year by year. The number of literatures increased from 10 (1991) to 161 (2021). The most research was published in 2021 (161, 11.14%) (Figure 2A). In addition, the relative interest in this field has also increased over the past few years (Figure 2A).

FIGURE 1
www.frontiersin.org

Figure 1 Flowchart of the screening process.

FIGURE 2
www.frontiersin.org

Figure 2 (A) The global number (blue bars) and relative research interests (red curve) of publications related to macrophages associated with osteoarthritis. (B) Distribution of macrophages associated with osteoarthritis research in world map. (C) The sum of publications related to macrophages associated with osteoarthritis from the top 10 countries and regions. (D) The annual number of publications in the top 10 most productive countries from 1991 to 2021. (E) Model fitting curves of global trends in publications related to macrophages associated with osteoarthritis per year (R2 = 0.9434, (2031,1000) indicates that the total publications will up to 1000 in year of 2031).

In total, 65 countries/regions have made contributions in literatures in this field. As shown in Figures 2B, C, the USA published the most papers (394, 29.266%), followed by China (247, 17.093%), Japan (166, 11.488%), Germany (129, 8.927%) and England (115, 7.958%). It is shown in Figure 2D that the annual number of publications of top 10 countries/regions rose from 10 (0.705%) in 1991 to 166 (11.707%) in 2021. Before 2019, the annual number of publications of the USA and Japan increased faster than that of China. For predicting the future global literatures trend, a logistic regression model was performed to create a time curve of the number of literatures. Figure 2E illustrates the fitting curve of the annual publication trend and the correction coefficient R2 is 0.9434. The predicted number of publications will be was estimated to 1000 in the year of 2031. Overall, these results indicating that the research on macrophages associated with osteoarthritis has attracted increasing researchers’ focus and reached a staged of rapid development.

Analysis of countries

As we can see from Figure 3A, publications from the USA had the highest total citation frequencies (22978). Netherlands ranked second in total citation frequencies (8340), followed by Japan (7760), England (7744) and Germany (5291). Regarding the global collaboration network analysis, the Figure 3B showed that the USA exhibited the highest output volume and worked closely with Netherland, South Korea, and France. From the Figure 3E, we can figure out that the network diagram of cooperation mainly exists in North America, West Europe, and East Asia. In terms of every citation frequency, publications from Scotland had the highest average citation frequencies (124.58). Wales ranked second in average citation frequency (99), prior to the Netherlands (73.16), England (67.34) and Switzerland (61.76) (Figure 3C). Additionally, the USA (80) dominated in this field in the relative publications of H-index, followed by Netherlands (51), Japan (47), England (42) and Germany (42) (Figure 3D).

FIGURE 3
www.frontiersin.org

Figure 3 (A) The top 25 countries/regions of total citations related to macrophages associated with osteoarthritis. (B) Country/regional collaboration analysis. (C) The top 25 countries/regions of the average citations per publication related to macrophages associated with osteoarthritis. (D) The top 25 countries/regions of the publication H-index related to macrophages associated with osteoarthritis. (E) The geographical network map of macrophages associated with osteoarthritis.

Analysis of institutions and authors

Regarding publication ranking, the top 25 contributive institutions were listed in Figure 4A. The first was League of European Research Universities (127 publications), followed by Northwestern University (39 publications), and Radboud University Nijmegen ranked third (36 publications). Figure 4B exhibits the network diagram of collaboration between institutions, which shows that that there is strong cooperation relationship between institutions such as Shanghai Jiao Tong University, Zhejiang University, and Nanjing Medical University in China and Duke University, Stanford University, and Harvard University in the USA.

FIGURE 4
www.frontiersin.org

Figure 4 (A) The top 25 institutions with most publications related to macrophages associated with osteoarthritis. (B) Institutional collaboration analysis. (C) Author collaboration analysis. (D) Network visualization diagram of the co-cited authors of the Publications.

The top 10 authors contributed a total of 217 publications, which accounted for approximately 15% of all publications in this field. Koch AE published the most studies, with 29 publications, followed by Haines GK with 26 publications and Tak PP with 23 publications (Table 1). CiteSpace visualizes the network between authors, as shown in Figure 4C. Authors from the same country collaborate more frequently with strong connection. However, the connections between authors from different countries are still inadequate. The co-citation analysis considered the relatedness of the items based on the numbers they were co-cited. A total of 871 authors with a minimum of 10 documents were analyzed using VOSviewer (Figure 4D). The top 5 authors with largest total link strength were as follows: Bondeson J (total link strength =5889 times), Blom AB (total link strength = 5513 times), Goldring MB (total link strength = 4692 times), Scanzello CR (total link strength = 4543 times), and Koch AE (total link strength = 4359 times).

TABLE 1
www.frontiersin.org

Table 1 The top 10 authors with the most publications on macrophages associated with osteoarthritis.

Analysis of journals and research areas

Table 2 lists the top 10 productive journals involved in this study. The journal Arthritis and Rheumatism (impact factor = 8.955, 2021) published the most with 98 publications. There were 92 publications in Osteoarthritis and Cartilage (IF = 7.507, 2021), 77 publications in Arthritis Research Therapy (IF = 5.606, 2021), 47 publications in Journal of Rheumatology (IF = 5.346, 2021) and 45 articles in Annals of the Rheumatic Diseases (IF = 27.973, 2021). The names of journals of co-citation analysis were performed using VOSviewer, and the journal with a minimum number of citations over 10 was defined. As plotted in Figure 5A, 824 journals were shown in the total link strength. The top 5 journals with best total link strength were as follows: Osteoarthritis and Cartilage (total link strength = 184826 times), Arthritis and Rheumatism (total link strength =152813 times), Annals of the Rheumatic Diseases (total link strength = 135410 times), Journal of Immunology (total link strength = 105307 times), and Arthritis Research Therapy (total link strength = 93494 times).

TABLE 2
www.frontiersin.org

Table 2 The top 10 productive journals related to macrophages associated with osteoarthritis.

FIGURE 5
www.frontiersin.org

Figure 5 (A) Network map of journals that were co-cited in more than 20 citations. (B) Mapping of the top 25 research directions related to macrophages associated with osteoarthritis. (C) The dual-map overlay of journals related to macrophages associated with osteoarthritis.

We performed a visual analysis of the research orientations using VOSviewer (Figure 5B), which is also summarized in Table 3. In details, the most prevalent research fields were rheumatology, orthopedics, immunology, cell biology, and biochemistry molecular biology. The spline wave from left to right describes the citation association, which is represented by the colored path. The Figure 5C depicted three primary citation paths marked in orange and green. The two primary paths showed that documents published in molecular/biology/genetics were primarily cited by researchers published in molecular/biology/immunology and medicine/medical/clinical journals, while the third path showed that documents published in sports/rehabilitation/sport was primarily cited by researchers published in molecular/biology/immunology.

TABLE 3
www.frontiersin.org

Table 3 The top 10 well-represented research areas related to macrophages associated with osteoarthritis.

Citation and co-citation analysis

A total of 674 articles in this field have more than 25 citations (Figure 6A). The top 10 most cited documents are shown in Table 4. There were 878 citations for “Discovery and development of folic-acid-based receptor targeting for Imaging and therapy of cancer and inflammatory diseases”, followed by “The role of cytokines in osteoarthritis pathophysiology”, with 784 citations. The third-ranked article with the largest number of citations was “Increased Concentrations of Nitrite in Synovial-Fluid and Serum Samples Suggest Increased Nitric-Oxide Synthesis in Rheumatic Diseases”, with 624 citations.

FIGURE 6
www.frontiersin.org

Figure 6 (A) Network map of citation analysis of documents with more than 25 citations. (B) Network map of co-citation analysis of references. (C) Top 25 references with strongest citation bursts of publications related to macrophages associated with osteoarthritis.

TABLE 4
www.frontiersin.org

Table 4 The top 10 documents with the most citations in the field of macrophages associated with osteoarthritis.

Moreover, co-cited references were analyzed by VOSviewer (Figure 6B) to show the most influential literature. In addition, citation burst is a valuable indicator that reflects the references of interest to researchers in a particular domain in a period (28). In our study, the top 25 references with the strongest citation bursts were identified by CiteSpace and presented in Figure 6C, among which the citation burst for duration of references. The article titled “Synovial macrophage M1 polarisation exacerbates experimental osteoarthritis partially through R-spondin-2”, published in 2018, ranked first (strength = 16.3). Meanwhile, the citation bursts of articles published by Daghestani H lasted from 2016 to 2021.

Analysis of keywords and hotspots

CiteSpace’s algorithm was also used to detect the burst of keywords based on burst detection. The top 25 keywords with the highest burst strength are shown in Figure 7A. We found that the keyword with highest citation outbreaks was interleukin 1 (strength = 13.5), followed by messenger RNA (13.17) and necrosis factor alpha (13.09). The keyword with the longest burst time was human monocyte, which lasted 18 years from 1991 to 2008. More meaningfully, the keyword “mice” had outbreak citations most recently (2009-2018), which implied that the research on the linkage between macrophages associated with osteoarthritis and animal models researches might be research hotspots in the future. We also built a network map to visualize keyword clusters (Figure 7B), and we found that “osteoarthritis” (Cluster0), “necrosis factor alpha” (Cluster1), “infrapatellar fat pad” (Cluster2), “t cell” (Cluster3), “collagen induced arthritis” (Cluster5), “nitric oxide” (Cluster7), and “synovial fluid” (Cluster11) were the hotspots of research since 1991.

FIGURE 7
www.frontiersin.org

Figure 7 (A) Top 25 keywords with the strongest citation bursts based on CiteSpace. (B) Clustering analysis of the keyworks network based on CiteSpace. (C) Three-field plot of the Keywords Plus analysis on macrophages associated with osteoarthritis Notes: three-field plot of the keywords analysis: (middle field: keywords; left field: authors; right field: journals).

Figure 7C represents a three-field graph in which authors, keywords, and journals were associated. It was possible to observe the links between the main elements through this three-field graph and their relationship was exhibited directly by the strength of the connection links (29). The keywords most frequently used were “expression”, “rheumatoid-arthritis” “inflammation” and “osteoarthritis”, which coincide with the keywords presented in Figure 7B. The author’s Koch AE, Haines GK and Pope RM are strongly connected with the keyword “expression” and “rheumatoid-arthritis” establishing the relatively strongest links. In turn, it can be found that the heaviest links were related to the Osteoarthritis and Cartilage. Moreover, it can be seen that the Arthritis and Rheumatism covered most of the papers related to the keyword “expression”, “rheumatoid-arthritis”, and “inflammation”. Therefore, this visualization suggested that rheumatoid arthritis as a kind of arthritis was relative referential for osteoarthritis research.

For bibliometrics, the keywords co-occurrence analysis is a prevalent way to identify hot research topics and areas, and it also plays a vital role in monitoring the developments in scientific research. In a co-occurrence analysis, the keyword was defined as the words used more than 5 times in titles or abstracts in all papers, which were chosen and analyzed via VOSviewer. As shown in Figure 8A, the 527 identified keywords were mainly classified into six clusters as follows: cluster 1: rheumatoid arthritis research (red), cluster 2: clinical symptoms (green), cluster 3: regeneration research (yellow), cluster 4: mechanism research (dark blue), cluster 5: pathological features (orange), and cluster 6: surgery research (light blue). These results exhibited the most prominent research topics in macrophages associated with osteoarthritis so far. In the “rheumatoid arthritis research” cluster, the primary keywords were: T cells, interleukin-1, and classification. For the “clinical symptoms” cluster, the frequently used keywords were: pain, synovitis, and adipose tissue. As for the “regeneration research” cluster, the main used keywords were: inflammation, polarization, and repair. For the “mechanism research” cluster, the dominantly used keywords were: activation, apoptosis, and nitric oxide. When talking about the “pathological features” cluster, the frequently used keywords were: inhibition, osteoporosis, and mineralization. And cluster “surgery research” consist of the frequently used keywords as follows: replacement, bone-resorption, and joint-destruction. These results exhibited that the most prominent fields of macrophages associated with osteoarthritis research included the abovementioned five directions.

FIGURE 8
www.frontiersin.org

Figure 8 (A) Mapping of keywords in the research related to macrophages associated with osteoarthritis; the frequency is represented by point size and the keywords of research fields are divided into six clusters: rheumatoid arthritis research (red), clinical symptoms (green), regeneration research (yellow), mechanism (dark blue), pathological features (dark brown), and surgery research (baby blue). (B) Distribution of keywords according to the mean frequency of appearance; keywords in yellow appeared later than those in blue.

According to Figure 8B, the VOSviewer colored all keywords based on the average times they appeared among the published papers. Specifically, the color blue indicates that the keywords appeared relatively early, while the color yellow indicates a more recent appearance. As shown in Figure 8B, the research trends of most studies in the six clusters were changed from rheumatoid arthritis research (cluster1), pathological features (cluster 5), and surgery research (cluster 6) to clinical symptoms (cluster 2), regeneration research (cluster 3), mechanism research (cluster 4), suggesting that future research hotspots might lie in the research of clinical symptoms, regeneration and mechanism exploration.

Discussion

In the past few decades, researchers have put enormous efforts into macrophages associated with osteoarthritis research, and considerable progress has been achieved in diagnosing and treating osteoarthritis (30). The critical role of macrophages in inflammatory and destructive responses in OA pathogenesis is currently widely recognized. It should be noticed that increased macrophages in OA patients’ synovium and subchondral bone tissue were identified with multiple cell surface markers such as CD163, CD68, CD14, MHC class II genes and F4/80, and the increase of CD14 and CD163 is associated with OA severity (8, 31). Therefore, a significant obstacle within macrophages associated with osteoarthritis research is the development of basic studies and effective treatments.

The trend overview of development of macrophages associated with osteoarthritis

As shown in this study, a significant increase in the number of publications per year has been found from 1 January 1991 to 31 December 2021. Moreover, the RRI has also increased slightly over the past few years, suggesting the popularity of this area is also increasing. In terms of national contributions, in our study, approximately 65 countries have published papers on the macrophages associated with osteoarthritis field. Particularly, The USA contributed the largest papers (394, 29.266%) than China (247, 17.093%), Japan (166, 11.488%), Germany (129, 8.927%), and England (115, 7.958%). Recently, the number of total citations, per citations, and H-index are critical parameters in the bibliometric study and can also show the quality and academic impact of different countries. As shown in Figure 2 and Figure 3, the USA contributed the most publications, more extensive total citations, and the largest H-index, suggesting that the USA was a highly productive and leading country in this field. The USA possesses the most elite researchers and institutions worldwide, suggesting the USA’s leading position in the field of macrophages associated with osteoarthritis research. Interestingly, Scotland ranked first in terms of average citations (124.6), followed by Wales (99) and the Netherlands (73.2). Regarding the top countries or regions, it can be seen that the Netherlands, ranking sixth in the number of publications, is still making a significant progression in this field of total citation, and H-index for it ranked second and fourth, respectively. Although China ranked the second largest number of total publications, it showed weaker performance in total citations, average citations, and H-index, suggesting that China might not catch up with the USA in the following decades. The contradiction between the quantity and quality of publications in China also requires more in-depth studies. Among the scientific institutions, League of European Research Universities ranked second (127 publications), Northwestern University (39 publications), and Radboud University Nijmegen (36 publications) actively contributed to the research front. Notably, the leading top 5 institutes have contributed significantly to the research regarding with macrophages associated with osteoarthritis, which is consistent with the global publications produced by the top 5 countries. It is noted that approximately the top 25 institutes come from the top 5 countries, indicating the leading role of first-class institutes in improving one country’s academic research ranking. Therefore, this evidence collectively infers that further in-depth studies with cooperation could play a vital role in macrophages associated with osteoarthritis research, guiding researchers to publish high-quality papers in the future.

Status and quality of authors, journals, and studies

Regarding authors, the top-ranked authors with the most publications are Americans, together with the largest funds provided by the USA National Institutes of Health (NIH), which means that the USA has played the most crucial role in the field of macrophages associated with osteoarthritis research. The top-ranked authors listed in Table 1 with the most publications were relative earlier entrants and might have been given prior attention to obtaining the new advancements in macrophages associated with osteoarthritis research. Additionally, the collaboration analysis in Figure 4C showed that the research relationship among authors in different countries is relatively scattered, indicating a lack of academic connection and communication among authors. Therefore, authors in different countries and institutions should strengthen their cooperation to improve macrophages’ research on osteoarthritis jointly. As shown in Figure 4D, Bondeson J, Blom AB, and Goldring MB might be the top authors with the highest citation frequency, which represents the international attention and recognition of these researchers in this field.

Besides the authors’ analysis, the journals associated with publications were further explored, and the results are shown in Table 2. The journal Arthritis and Rheumatism, Osteoarthritis and Cartilage, and Arthritis Research Therapy published most papers. Recently, the impact factors were generally high. Interestingly, the top 5 journals published more than 40 papers in total, and, predictably, the listed top 10 journals might be the possible choices for researchers to publish high-quality research in the future. Furthermore, the co-citation analysis based on journals was conducted to investigate the impacts of publications by analyzing the total citation number. Figure 5A showed that Osteoarthritis and Cartilage had made the most outstanding contributions in this field. Among the top 10 research orientations, two are specialized in the clinical study and five are in basic research. More specifically, the dual-map analysis reflected the concentration of research in genetics, immunology, and rehabilitation studies.

The impact of published literature was evaluated in citation analysis of documents (Figure 6A) and co-citation network analysis (Figure 6B). Table 4 showed that the most cited article was the exploitation of the well-characterized up-regulation of folate receptors on activated macrophages, which may be a target for rheumatoid arthritis and inflammatory osteoarthritis treatment (32). Another study focused on the role of cytokines in OA pathophysiology was written by Pelletier JP et al. (33). Among the ten most cited articles, most types of literature are of the basic research type, focusing on the pathology, pathogenesis, diagnosis, and treatment of OA and other kinds of arthritis.

Interestingly, co-citation analysis of references can figure out which publications have made the most outstanding contributions in this field. As shown in Figure 6B, “Differential role for interleukin-1 in induced instability osteoarthritis and spontaneously occurring osteoarthritis in mice” authored by Blom AB et al. might be the top reference with the highest citation frequency. In Figure 6C, most of the top 25 cited articles with the strongest citation bursts were related to OA pathophysiology, diagnosis, and therapy, indicating that these directions are hot topics in macrophages associated with osteoarthritis research field.

Research hotspots and frontiers

The co-occurrence analysis of keywords and bursts reflected the developing trends and hotspots in macrophages associated with osteoarthritis research. As shown in Figure 7A, “interleukin 1” is the keyword with the highest citation outbreaks, which represents the initial status of this keyword in OA research. For example, as early as the 1990s, Arend WP et al. proposed the IL-1 receptor antagonists (IL-1Ra) intervention in the treatment of OA and confirmed a reduction of cartilage destruction associated with this therapy (34, 35). As shown in Figures 7B, C, it is shown that the primary research clusters mainly refer to “osteoarthritis”, “necrosis factor alpha”, “t cell”, “gene expression”, and “synovia fluid”, indicating that molecular biology exploration in OA disease is another hotspot.

In our study, the keywords’ co-occurrence network was depicted based on the determination of keywords in the titles/abstracts of all included publications. Figure 8A showed 6 main research trends, which could be divided into 6 clusters: rheumatoid arthritis research (red), clinical symptoms (green), regeneration research (yellow), mechanism research (dark blue), pathological features (orange) and surgery research (light blue). These results could not only comply with hopeful hotspots in this field of macrophages associated with osteoarthritis research but also forecast the directions of future studies, as follows.

(I). Rheumatoid arthritis research: Co-occurrence analysis of keywords identified “T cells”, “interleukin-1”, and “classification” as important research hotspots which deserve further attention. Rheumatoid arthritis (RA) has been considered an autoimmune disease because it presents with a chronic systemic inflammatory disorder (36). T lymphocytes (T cells), mainly categorized into helper T cells (Th cells) and cytotoxic T cells (Tc cells), secrete cytokines to modulate the behavior of cells involved in immunologic response (37). In RA, T-lymphocytes stimulate macrophages to overproduce inflammatory cytokines. Notably, the role of T cells in OA disease progression is also an emerging topic of investigation. For example, OA patients present with enhanced T helper cells in synovial tissue and synovial fluid. Furthermore, multiple T cells such Th1, Th9, and Th17 cells are located in OA synovial fluid, while Th1, Th17, and cytotoxic T cells mainly existed in OA synovial tissue, all of these cells secrete various catabolic cytokines, including IL‐2, IFN‐γ, and TNF‐α (38). Notably, the classification of osteoarthritis subtypes according to the distinct molecular signatures was performed recently. A study conducted by Yuan, Chunhui, et al. divided OA patients into four subtypes based on the symptoms: glycosaminoglycan metabolic disorder subtype, collagen metabolic disorder subtype, activated sensory neuron subtype, and inflammation subtype (39). This study provided distinct molecular subtypes in knee OA, which may shed light on the precise diagnosis and treatment of this disease.

(II). Clinical symptoms: One primary topic of OA is studying the mechanism of pain in symptomatic OA. Generally, pain is a complex process including sensory, affective, and cognitive experiences, while some kinds of tissue (infrapatellar fat pad (IFP) and the synovial membrane) have been investigated as a potential source of pain in OA (40). Regarding the role of synovitis in OA pain, Baker et al. proved the strong connection between contrast-enhanced MRI-detected synovitis and Knee OA severity (41). Another potential therapeutic target refers to adipose tissue in IFP. Hypointense IFP signal and greater volume of IFP were demonstrated to be highly correlated with OA pain (42). Specifically, the molecular mechanisms involved in OA pain refer to the IFP-Synovial membrane can be divided into neuropeptides and peptide hormones, growth factors, and cytokines (40). Interestingly, IL‐1β‐producing macrophages regulate calcitonin receptor‐like receptor (CLR) expression in synovial cells and are reported to be involved in pain transmission and neurogenic inflammation (43). In addition, the high level of Neuropeptide Y (NPY) detected in OA patients synovial fluid was also correlated with OA severity and pain (44). Both synovial fluid CD14 and CD163 were positively associated with osteophyte progression (45). Importantly, previous studies discovered that several subsets of macrophages might contribute to OA pain through nerve growth factor (NGF) and calcitonin gene-related peptide (CGRP) expression (4648). Takano et al. discovered that CD14-positive macrophages could regulate NGF by inflammatory cytokines (IL-1β and TNF-α) production (49). In addition, Shotaro et al. reported that elevated CGRP by CD14-positive macrophages may contribute to increased OA pain (48). In addition, researchers reported that CD163+CD14low macrophages expressing TNF-α might be a vital contributor to the OA pain (50). These molecular factors contribute to the pain of OA and as a potential therapeutic target in OA pain treatment and should be further explored in the future.

(III). Regeneration research: Promising regeneration strategies for OA are urgently needed since the OA involves articular cartilage destruction, synovitis, subchondral bone remodeling, osteophyte formation, and meniscus and ligament changes (5). Several specific mediators (PAMPs, DAMPs, and inflammasome) act as microenvironment stimuli that induce synovial macrophage activation and polarization (51). Since macrophage polarization plays a fundamental role in OA progression and regeneration, many efforts have been made to explore novel specific targets to inhibit or slow the progression of OA. For instance, M2 macrophage membrane-coated nanoparticles (Au-M2 NPs), a unique drug platform, could be applied as a highly anti-inflammatory and specific polarize macrophages to M2 type and eventually alleviate OA inflammation as well as matrix degradation (52). On the other hand, investigating the underlying molecular pathology of OA is also a pivotal research direction for differential treatment. For example, Yin, Jianbin, et al. performed an RNA sequencing of OA M1-polarized macrophages and successfully identified that pentraxin 3 (PTX3) is highly expressed in OA patients. Moreover, PTX3 was upregulated when miR-224-5p was insufficient, which activated the p65/NF-κB pathway to induce M1 macrophage polarization by targeting CD32 (53). Therefore, blockade of this pathway and PTX3 may alleviate the OA development.

(IV). Mechanism research: Although multiple proinflammatory factors (including IL−1, IL−6, IL−17, and TNF−α) released by chondrocytes and proliferating synoviocytes affects the mobilization, polarization and apoptosis of macrophages, the underlying mechanisms are not completely understood (54). Therefore, exploring the advanced therapeutic targets for macrophage polarization which involves OA progression, is urgently needed. Notably, nitric oxide (NO), a small bioactive molecule, can significantly inhibit the inflammatory response by activating the AMP-activated protein kinase (AMPK) signal pathway (5557). However, the role of NO in the OA disease process remains to be elucidated; some studies suggested that NO was responsible for inducing apoptosis and proinflammatory cytokines secretion, while other studies indicated that NO and its redox derivatives might also protect chondrocytes to a certain extent (58). A study by Chen, Xu, et al. proved that A photothermal-triggered nitric oxide nanogenerator combined with siRNA attenuates macrophage-mediated inflammation, showing promising effects for OA treatment (59).

(V). Pathological features: For OA pathological progression, pathological calcification or mineralization in the affected joint is an important feature. The most common site of pathological calcification was cartilage, while other soft tissues, including the meniscus, synovium, and tendons, were also commonly affected (60). In detail, the two most common forms of pathological articular minerals refer to Basic calcium phosphate (BCP) and calcium pyrophosphate dehydrate (CPPD) (61). Several pathological processes were involved in abnormal mineralization as follows: pathological rejuvenation of chondrocytes, changes in ECM structure and composition, changes of extracellular calcium level, disordered pyrophosphate (PPi) and phosphate (Pi) metabolism, mitochondria-mediated calcification, and imbalance between inhibitors and promoters in non-collagenous proteins (NCP) (60). The relationship between osteoporosis and OA requires further investigation. In addition to commonly observed subchondral sclerosis in OA, some patients may suffer from pain and disability, thus encountering osteoporosis with increased fracture risk (62). Regarding the current situation of OA study, we suggest future research should focus on conducting more systematic prospective studies to comprehensively understand the OA pathological features.

(VI). Surgery research: The surgical indication is pivotal for OA patients because surgery is always a relative indication. Multiple indications include symptoms, OA stage, and individual patient factors (age, physical activity, and patient’s comorbidities) that should be taken into consideration in surgical interventions (63). The surgical treatment for OA main refers to arthroscopic lavage and debridement, cartilage repair techniques, osteotomies around the knee, and joint arthroplasty (63). For joint arthroplasty, it is vital to determine appropriate OA progression time points for joint replacement. Biomarkers in plasma or other body fluids could be an ideal indicator for diagnosis and determination of OA progression. For example, the CRTAC1 protein in plasma was found to be associated with joint pain and hand OA severity, and it is not associated with other inflammatory joint diseases such as rheumatoid arthritis (64). In addition, after joint replacement surgery, the protein profile in plasma also changed, indicating that these biomarkers can be used to predict prosthesis survival time or early prosthesis failure.

Future research trends

According to the analysis above, it is significant to predict the future trends and possible future impact on search of macrophages associated with osteoarthritis. As depicted in Figure 7, the primary research clusters mainly refer to “osteoarthritis”, “necrosis factor alpha”, “T cell”, “gene expression”, and “synovia fluid”, indicating that molecular biology exploration in OA disease is another hotspot and future direction. In addition, as shown in Figure 8, the research directions have changed from rheumatoid arthritis research, pathological features, and surgery research to clinical symptoms, regeneration research, mechanism research, which could significantly influence future researchers. In terms of clinical symptoms research, many key molecules associated with OA have been identified and the relationship between subsets of macrophages and OA clinical symptoms has also been discussed, which could assist clinicians to better manage patients’ symptoms. As for the regeneration research, many researchers dedicated to explore specific targets to slow down or inhibit the progression of OA by targeting M1 or M2 macrophages. In addition, the mechanism research of macrophages has also drawn many researchers’ attention. For example, NO was found to induce apoptosis and proinflammatory cytokines secretion, while others reported that it could protect chondrocytes and attenuates macrophage-mediated inflammation (4953). Therefore, exploring the mechanisms underlying on the macrophage and OA progression. Based on these findings, the development of basic research of molecular biology and mechanism exploration could benefit the relief of clinical symptoms.

Limitation

There are still some limitations to be discussed: (1) Due to the limitation of our bibliometric software, all of the studies collected from WoSCC, PubMed, Cochrane, Scopus and Embase library databases have not been included, which may lead to publication bias. Therefore, more data sources and powerful software are recommended in the future research. (2) We only extracted research and review articles in English, and the articles published in non-English language or non-research/review articles were not included in this study, which may result in some omissions. (3) We did not visualize the keywords with a timeline, which may result in hotspot prediction bias due to neglection of temporal data. (4) Since the new studies are updated daily, we might neglect some influential newly published studies. (5) As the data selection is done by two authors, encountered problems were resolved by consulting with experts to reach the final consensus.

Conclusion

In conclusion, this study is the first bibliometric analysis to scientifically and comprehensively analyze the global macrophages associated with osteoarthritis research trends over the past 30 years. This study systematically summarized the global publication trends and helped scholars identify the essential authors, institutions, and journals in this field. Moreover, the keyword and co-citation clustering analysis also guide researchers to choose new research directions mainly in five directions as follows “rheumatoid arthritis research”, “clinical symptoms”, “regeneration research”, “mechanism research”, “pathological features”, and “surgery research”. We can expect that further cooperation among authors, institutions, and countries in the future would accelerate the development of macrophages associated with osteoarthritis research.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding authors.

Author contributions

DX, JHL contributed to conception and design of the study. ZY, ZH, HaL organized the database. ZY, ZH, HaL organized the database. ZY, JJL, LL and HuL performed the statistical analysis. YZ, HaL wrote the first draft of the manuscript. JJL, DX, and JHL wrote sections of the manuscript. JJL and HuL contributed to data acquisition. All authors contributed to the article and approved the submitted version.

Funding

This work was supported by Beijing Natural Science Foundation (7214261), Peking University Medicine Fund of Fostering Young Scholars' Scientific & Technological Innovation (BMU2022PYB004) and Peking University People’s Hospital Scientific Research Development Funds (RDY2020-9).

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. Thomas E, Peat G, Croft P. Defining and mapping the person with osteoarthritis for population studies and public health. Rheumatology (2014) 53(2):338–45. doi: 10.1093/rheumatology/ket346

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Lawrence RC, Felson DT, Helmick CG, Arnold LM, Choi H, Deyo RA, et al. Estimates of the prevalence of arthritis and other rheumatic conditions in the united states: Part II. Arthritis Rheumatism (2008) 58(1):26–35. doi: 10.1002/art.23176

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Berenbaum F. Osteoarthritis as an inflammatory disease (osteoarthritis is not osteoarthrosis)! Osteoarthritis cartilage (2013) 21(1):16–21. doi: 10.1016/j.joca.2012.11.012

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Xie J, Huang Z, Yu X, Zhou L, Pei F. Clinical implications of macrophage dysfunction in the development of osteoarthritis of the knee. Cytokine Growth factor Rev (2019) 46:36–44. doi: 10.1016/j.cytogfr.2019.03.004

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Hügle T, Geurts J. What drives osteoarthritis?–synovial versus subchondral bone pathology. Rheumatology (2017) 56(9):1461–71. doi: 10.1093/rheumatology/kew389

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Amos N, Lauder S, Evans A, Feldmann M, Bondeson J. Adenoviral gene transfer into osteoarthritis synovial cells using the endogenous inhibitor IκBα reveals that most, but not all, inflammatory and destructive mediators are NFκB dependent. Rheumatology (2006) 45(10):1201–9. doi: 10.1093/rheumatology/kel078

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Schroder K, Tschopp J. The inflammasomes. Cell (2010) 140(6):821–32. doi: 10.1016/j.cell.2010.01.040

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Bondeson J, Wainwright SD, Lauder S, Amos N, Hughes CE. The role of synovial macrophages and macrophage-produced cytokines in driving aggrecanases, matrix metalloproteinases, and other destructive and inflammatory responses in osteoarthritis. Arthritis Res Ther (2006) 8(6):1–12. doi: 10.1186/ar2099

CrossRef Full Text | Google Scholar

9. Mosser DM, Edwards JP. Exploring the full spectrum of macrophage activation. Nat Rev Immunol (2008) 8(12):958–69. doi: 10.1038/nri2448

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Brancato SK, Albina JE. Wound macrophages as key regulators of repair: origin, phenotype, and function. Am J Pathol (2011) 178(1):19–25. doi: 10.1016/j.ajpath.2010.08.003

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Kloc M, Ghobrial RM, Wosik J, Lewicka A, Lewicki S, Kubiak JZ. Macrophage functions in wound healing. J Tissue Eng Regenerative Med (2019) 13(1):99–109. doi: 10.1002/term.2772

CrossRef Full Text | Google Scholar

12. Schulert GS, Fall N, Harley JB, Shen N, Lovell DJ, Thornton S, et al. Monocyte microRNA expression in active systemic juvenile idiopathic arthritis implicates microRNA-125a-5p in polarized monocyte phenotypes. Arthritis Rheumatol (2016) 68(9):2300–13. doi: 10.1002/art.39694

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Shapouri-Moghaddam A, Mohammadian S, Vazini H, Taghadosi M, Esmaeili SA, Mardani F, et al. Macrophage plasticity, polarization, and function in health and disease. J Cell Physiol (2018) 233(9):6425–40. doi: 10.1002/jcp.26429

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Caron JP, Fernandes JC, Martel-Pelletier J, Tardif G, Mineau F, Geng C, et al. Chondroprotective effect of intraarticular injections of interleukin-1 receptor antagonist in experimental osteoarthritis. suppression of collagenase-1 expression. Arthritis Rheumatism: Off J Am Coll Rheumatol (1996) 39(9):1535–44. doi: 10.1002/art.1780390914

CrossRef Full Text | Google Scholar

15. Wu K, Liu Y, Liu L, Peng Y, Pang H, Sun X, et al. Emerging trends and research foci in tumor microenvironment of pancreatic cancer: A bibliometric and visualized study. Front Oncol (2022) 12. doi: 10.3389/fonc.2022.810774

CrossRef Full Text | Google Scholar

16. Ismail II, Saqr M. A quantitative synthesis of eight decades of global multiple sclerosis research using bibliometrics. Front Neurol (2022) 13:845539. doi: 10.3389/fneur.2022.845539

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Dong X, Tan Y, Zhuang D, Hu T, Zhao M. Global characteristics and trends in research on ferroptosis: A data-driven bibliometric study. Oxid Med Cell Longevity (2022) 2022:8661864. doi: 10.1155/2022/8661864

CrossRef Full Text | Google Scholar

18. Wang Y, Zhao N, Zhang X, Li Z, Liang Z, Yang J, et al. Bibliometrics analysis of butyrophilins as immune regulators [1992–2019] and implications for cancer prognosis. Front Immunol (2020) 11:1187. doi: 10.3389/fimmu.2020.01187

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Xing D, Zhao Y, Dong S, Lin J. Global research trends in stem cells for osteoarthritis: a bibliometric and visualized study. Int J rheumatic Dis (2018) 21(7):1372–84. doi: 10.1111/1756-185X.13327

CrossRef Full Text | Google Scholar

20. Synnestvedt MB, Chen C, Holmes JH, CiteSpace II. Visualization and knowledge discovery in bibliographic databases, AMIA annual symposium proceedings. Am Med Inf Assoc (2005) 2005(2005):724–8.

Google Scholar

21. Yeung AWK, Tzvetkov NT, Balacheva AA, Georgieva MG, Gan R-Y, Jozwik A, et al. Lignans: Quantitative analysis of the research literature. Front Pharmacol (2020) 11:37. doi: 10.3389/fphar.2020.00037

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Li C, Ojeda-Thies C, Renz N, Margaryan D, Perka C, Trampuz A. The global state of clinical research and trends in periprosthetic joint infection: A bibliometric analysis. Int J Infect Dis (2020) 96:696–709. doi: 10.1016/j.ijid.2020.05.014

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Wu H, Li Y, Tong L, Wang Y, Sun Z. Worldwide research tendency and hotspots on hip fracture: a 20-year bibliometric analysis. Arch osteoporosis (2021) 16(1):1–14. doi: 10.1007/s11657-021-00929-2

CrossRef Full Text | Google Scholar

24. Liao Z, Wei W, Yang M, Kuang X, Shi J. Academic publication of neurodegenerative diseases from a bibliographic perspective: a comparative scientometric analysis.Front in Aging Neurosci (2021) 13:722944. doi: 10.3389/fnagi.2021.722944

CrossRef Full Text | Google Scholar

25. Yan P, Li M, Li J, Lu Z, Hui X, Bai Y, et al. Bibliometric analysis and systematic review of global coronavirus research trends before COVID-19: Prospects and implications for COVID-19 research. Front Med (2021) 8. doi: 10.3389/fmed.2021.729138

CrossRef Full Text | Google Scholar

26. Liu T, Yang L, Fang HM, Yuyang M, Zhan Y, Zhan Y. Knowledge domain and emerging trends in podocyte injury research from 1994 to 2021: a bibliometric and visualized analysis. Front Pharmacol (2021) 2021:3508. doi: 10.3389/fphar.2021.772386

CrossRef Full Text | Google Scholar

27. Xiong W, Wang S, Wei Z, Cai Y, Li B, Lin F, et al. Knowledge domain and hotspots predict concerning electroactive biomaterials applied in tissue engineering: A bibliometric and visualized analysis from 2011 to 2021. Front Bioengineering Biotechnol (2022) 10:904629. doi: 10.3389/fbioe.2022.904629

CrossRef Full Text | Google Scholar

28. Wu F, Gao J, Kang J, Wang X, Niu Q, Liu J, et al. Knowledge mapping of exosomes in autoimmune diseases: A bibliometric analysis (2002-2021). Front Immunol (2022) 13:939433. doi: 10.3389/fimmu.2022.939433

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Sganzerla WG, Ampese LC, Mussatto SI, Forster-Carneiro T. A bibliometric analysis on potential uses of brewer’s spent grains in a biorefinery for the circular economy transition of the beer industry. Biofuels Bioproducts Biorefining (2021) 15(6):1965–88. doi: 10.1002/bbb.2290

CrossRef Full Text | Google Scholar

30. Chen Y, Jiang W, Yong H, He M, Yang Y, Deng Z, et al. Macrophages in osteoarthritis: pathophysiology and therapeutics. Am J Trans Res (2020) 12(1):261.

Google Scholar

31. Gu Q, Yang H, Shi Q. Macrophages and bone inflammation. J Orthopaedic Translation (2017) 10:86–93. doi: 10.1016/j.jot.2017.05.002

CrossRef Full Text | Google Scholar

32. Low PS, Henne WA, Doorneweerd DD. Discovery and development of folic-acid-based receptor targeting for imaging and therapy of cancer and inflammatory diseases. Accounts Chem Res (2008) 41(1):120–9. doi: 10.1021/ar7000815

CrossRef Full Text | Google Scholar

33. Fernandes JC, Martel-Pelletier J, Pelletier JP. The role of cytokines in osteoarthritis pathophysiology. Biorheology (2002) 39(1-2):237–46.

PubMed Abstract | Google Scholar

34. Calich ALG, Domiciano DS, Fuller R. Osteoarthritis: can anti-cytokine therapy play a role in treatment? Clin Rheumatol (2010) 29(5):451–5. doi: 10.1007/s10067-009-1352-3

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Arend WP. Interleukin-1 receptor antagonist. Adv Immunol (1993) 54:167–227. doi: 10.1016/S0065-2776(08)60535-0

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Rabiei M, Kashanian S, Samavati SS, Derakhshankhah H, Jamasb S, McInnes SJ. Nanotechnology application in drug delivery to osteoarthritis (OA), rheumatoid arthritis (RA), and osteoporosis (OSP). J Drug Delivery Sci Technol (2021) 61:102011. doi: 10.1016/j.jddst.2020.102011

CrossRef Full Text | Google Scholar

37. Woodell-May JE, Sommerfeld SD. Role of inflammation and the immune system in the progression of osteoarthritis. J Orthopaedic Research® (2020) 38(2):253–7. doi: 10.1002/jor.24457

CrossRef Full Text | Google Scholar

38. Li Y-S, Luo W, Zhu S-A, Lei G-H. T Cells in osteoarthritis: alterations and beyond. Front Immunol (2017) 8:356. doi: 10.3389/fimmu.2017.00356

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Yuan C, Pan Z, Zhao K, Li J, Sheng Z, Yao X, et al. Classification of four distinct osteoarthritis subtypes with a knee joint tissue transcriptome atlas. Bone Res (2020) 8(1):1–10. doi: 10.1038/s41413-020-00109-x

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Belluzzi E, Stocco E, Pozzuoli A, Granzotto M, Porzionato A, Vettor R, et al. Contribution of infrapatellar fat pad and synovial membrane to knee osteoarthritis pain. BioMed Res Int (2019) 2019:6390182. doi: 10.1155/2019/6390182

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Guermazi A, Hayashi D, Roemer FW, Zhu Y, Niu J, Crema MD, et al. Synovitis in knee osteoarthritis assessed by contrast-enhanced magnetic resonance imaging (MRI) is associated with radiographic tibiofemoral osteoarthritis and MRI-detected widespread cartilage damage: the MOST study. J Rheumatol (2014) 41(3):501–8. doi: 10.3899/jrheum.130541

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Cowan SM, Hart HF, Warden SJ, Crossley KM. Infrapatellar fat pad volume is greater in individuals with patellofemoral joint osteoarthritis and associated with pain. Rheumatol Int (2015) 35(8):1439–42. doi: 10.1007/s00296-015-3250-0

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Takano S, Uchida K, Miyagi M, Inoue G, Aikawa J, Fujimaki H, et al. Synovial macrophage-derived IL-1 β regulates the calcitonin receptor in osteoarthritic mice. Clin Exp Immunol (2016) 183(1):143–9. doi: 10.1111/cei.12712

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Wang L, Zhang L, Pan H, Peng S, Lv M, Lu WW. Levels of neuropeptide y in synovial fluid relate to pain in patients with knee osteoarthritis. BMC musculoskeletal Disord (2014) 15(1):1–7. doi: 10.1186/1471-2474-15-319

CrossRef Full Text | Google Scholar

45. Daghestani HN, Pieper CF, Kraus VB. Soluble macrophage biomarkers indicate inflammatory phenotypes in patients with knee osteoarthritis. Arthritis Rheumatol (2015) 67(4):956–65. doi: 10.1002/art.39006

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Pezet S, McMahon SB. Neurotrophins: mediators and modulators of pain. Annu Rev Neurosci (2006) 29(1):507–38. doi: 10.1146/annurev.neuro.29.051605.112929

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Ohashi Y, Uchida K, Fukushima K, Satoh M, Koyama T, Tsuchiya M, et al. NGF expression and elevation in hip osteoarthritis patients with pain and central sensitization. BioMed Res Int (2021) 2021:9212585. doi: 10.1155/2021/9212585

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Takano S, Uchida K, Inoue G, Minatani A, Miyagi M, Aikawa J, et al. Increase and regulation of synovial calcitonin gene-related peptide expression in patients with painful knee osteoarthritis. J Pain Res (2017) 10:1099. doi: 10.2147/JPR.S135939

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Takano S, Uchida K, Inoue G, Miyagi M, Aikawa J, Iwase D, et al. Nerve growth factor regulation and production by macrophages in osteoarthritic synovium. Clin Exp Immunol (2017) 190(2):235–43. doi: 10.1111/cei.13007

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Ohashi Y, Uchida K, Fukushima K, Satoh M, Koyama T, Tsuchiya M, et al. Correlation between CD163 expression and resting pain in patients with hip osteoarthritis: Possible contribution of CD163+ monocytes/macrophages to pain pathogenesis. J Orthopaedic Research® (2022) 40(6):1365–74. doi: 10.1002/jor.25157

CrossRef Full Text | Google Scholar

51. Zhang H, Cai D, Bai X. Macrophages regulate the progression of osteoarthritis. Osteoarthritis cartilage (2020) 28(5):555–61. doi: 10.1016/j.joca.2020.01.007

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Teo KYW, Sevencan C, Cheow YA, Zhang S, Leong DT, Toh WS. Macrophage polarization as a facile strategy to enhance efficacy of macrophage membrane-coated nanoparticles in osteoarthritis. Small Sci (2022) 2(4):2100116. doi: 10.1002/smsc.202100116

CrossRef Full Text | Google Scholar

53. Yin J, Zeng H, Fan K, Xie H, Shao Y, Lu Y, et al. Pentraxin 3 regulated by miR-224-5p modulates macrophage reprogramming and exacerbates osteoarthritis associated synovitis by targeting CD32. Cell Death Dis (2022) 13(6):1–13. doi: 10.1038/s41419-022-04962-y

CrossRef Full Text | Google Scholar

54. Li G-S, Cui L, Wang G-D. miR−155−5p regulates macrophage M1 polarization and apoptosis in the synovial fluid of patients with knee osteoarthritis. Exp Ther Med (2021) 21(1):1–1. doi: 10.3892/etm.2020.9500

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Taylor E, Megson I, Haslett C, Rossi AG. Nitric oxide: a key regulator of myeloid inflammatory cell apoptosis. Cell Death Differ (2003) 10(4):418–30. doi: 10.1038/sj.cdd.4401152

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Jin P, Wiraja C, Zhao J, Zhang J, Zheng L, Xu C. Nitric oxide nanosensors for predicting the development of osteoarthritis in rat model. ACS Appl materials interfaces (2017) 9(30):25128–37. doi: 10.1021/acsami.7b06404

CrossRef Full Text | Google Scholar

57. Zhou H-F, Yan H, Pan H, Hou KK, Akk A, Springer LE, et al. Peptide-siRNA nanocomplexes targeting NF-κB subunit p65 suppress nascent experimental arthritis. J Clin Invest (2014) 124(10):4363–74. doi: 10.1172/JCI75673

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Abramson SB. Osteoarthritis and nitric oxide. Osteoarthritis cartilage (2008) 16:S15–20. doi: 10.1016/S1063-4584(08)60008-4

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Chen X, Liu Y, Wen Y, Yu Q, Liu J, Zhao Y, et al. A photothermal-triggered nitric oxide nanogenerator combined with siRNA for precise therapy of osteoarthritis by suppressing macrophage inflammation. Nanoscale (2019) 11(14):6693–709. doi: 10.1039/C8NR10013F

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Yan JF, Qin WP, Xiao BC, Wan QQ, Tay FR, Niu LN, et al. Pathological calcification in osteoarthritis: an outcome or a disease initiator? Biol Rev (2020) 95(4):960–85. doi: 10.1111/brv.12595

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Molloy E, McCarthy G. Calcium crystal deposition diseases: update on pathogenesis and manifestations. Rheumatic Dis Clinics (2006) 32(2):383–400. doi: 10.1016/j.rdc.2006.02.001

CrossRef Full Text | Google Scholar

62. Im G-I, Kim M-K. The relationship between osteoarthritis and osteoporosis. J Bone mineral Metab (2014) 32(2):101–9. doi: 10.1007/s00774-013-0531-0

CrossRef Full Text | Google Scholar

63. Rönn K, Reischl N, Gautier E, Jacobi M. Current surgical treatment of knee osteoarthritis. Arthritis (2011) 2011:454873. doi: 10.1155/2011/454873

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Styrkarsdottir U, Lund SH, Saevarsdottir S, Magnusson MI, Gunnarsdottir K, Norddahl GL, et al. The CRTAC1 protein in plasma is associated with osteoarthritis and predicts progression to joint replacement: A Large-scale proteomics scan in Iceland. Arthritis Rheumatol (2021) 73(11):2025–34. doi: 10.1002/art.41793

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: osteoarthritis, macrophages, bibliometric, CiteSpace, VOSviewer

Citation: Yang Z, Lin J, Li H, He Z, Wang K, Lei L, Li H, Xing D and Lin J (2022) Bibliometric and visualization analysis of macrophages associated with osteoarthritis from 1991 to 2021. Front. Immunol. 13:1013498. doi: 10.3389/fimmu.2022.1013498

Received: 07 August 2022; Accepted: 20 September 2022;
Published: 04 October 2022.

Edited by:

Katharina Schmidt-Bleek, Charité Universitätsmedizin Berlin, Germany

Reviewed by:

Sowmya Viswanathan, University Health Network, Canada
Kentaro Uchida, Kitasato University, Japan
Bin Wang, Zhejiang University, China

Copyright © 2022 Yang, Lin, Li, He, Wang, Lei, Li, Xing and Lin. 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: Hao Li, lihao_DO@163.com; Dan Xing, xingdan@bjmu.edu.cn; Jianhao Lin, linjianhao@pkuph.edu.cn

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.