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SYSTEMATIC REVIEW article

Front. Pharmacol., 03 September 2024
Sec. Renal Pharmacology

Research hotspots and future trends in lipid metabolism in chronic kidney disease: a bibliometric and visualization analysis from 2004 to 2023

  • 1Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
  • 2Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
  • 3China-Japan Friendship Hospital, Institute of Medical Science, Beijing, China

Background: Disorders of lipid metabolism play a key role in the initiation and progression of chronic kidney disease (CKD). Recently, research on lipid metabolism in CKD has rapidly increased worldwide. However, comprehensive bibliometric analyses in this field are lacking. Therefore, this study aimed to evaluate publications in the field of lipid metabolism in CKD over the past 20 years based on bibliometric analysis methods to understand the important achievements, popular research topics, and emerging thematic trends.

Methods: Literature on lipid metabolism in CKD, published between 2004 and 2023, was retrieved from the Web of Science Core Collection. The VOSviewer (v.1.6.19), CiteSpace (v.6.3 R1), R language (v.4.3.2), and Bibliometrix (v.4.1.4) packages (https://www.bibliometrix.org) were used for the bibliometric analysis and visualization. Annual output, author, country, institution, journal, cited literature, co-cited literature, and keywords were also included. The citation frequency and H-index were used to evaluate quality and influence.

Results: In total, 1,285 publications in the field of lipid metabolism in CKD were identified in this study. A total of 7,615 authors from 1,885 institutions in 69 countries and regions published articles in 466 journals. Among them, China was the most productive (368 articles), and the United States had the most citations (17,880 times) and the highest H-index (75). Vaziri Nosratola D, Levi Moshe, Fornoni Alessia, Zhao Yingyong, and Merscher Sandra emerged as core authors. Levi Moshe (2,247 times) and Vaziri Nosratola D (1,969 times) were also authors of the top two most cited publications. The International Journal of Molecular Sciences and Kidney International are the most published and cited journals in this field, respectively. Cardiovascular disease (CVD) and diabetic kidney disease (DKD) have attracted significant attention in the field of lipid metabolism. Oxidative stress, inflammation, insulin resistance, autophagy, and cell death are the key research topics in this field.

Conclusion: Through bibliometric analysis, the current status and global trends in lipid metabolism in CKD were demonstrated. CVD and DKD are closely associated with the lipid metabolism of patients with CKD. Future studies should focus on effective CKD treatments using lipid-lowering targets.

1 Introduction

Chronic kidney disease (CKD) is an incurable progressive disease with high morbidity and mortality (Kalantar-Zadeh et al., 2021). It is an increasingly underappreciated global public health problem that imposes huge economic and medical burdens on society and health institutions (Eckardt et al., 2013). The current global prevalence of CKD is estimated to range from approximately 11%–13% (Hill et al., 2016). By contrast, the absolute risk of death increased exponentially with a decline in renal function (Tonelli et al., 2006). Patients with CKD are five to ten times more likely to die prematurely than those who progress to end-stage renal disease (ESRD) (Webster et al., 2017). Slowing down the progression of CKD is a global medical priority. Presently, dietary intervention and drug therapy for CKD can maximize the preservation of renal function. However, patients with CKD progress to ESRD, and renal replacement therapy is inevitable (Kalantar-Zadeh et al., 2021). CKD is heterogeneous in terms of risk, etiology, and clinical presentation. It leads to abnormal lipid metabolism and changes in lipid levels, composition, and quality (Ferro et al., 2019), and lipid accumulation in the renal parenchyma may lead to inflammation and fibrosis (Mitrofanova et al., 2023). Dyslipidemia in CKD is primarily caused by increased triglyceride (TG) levels, decreased high-density lipoprotein cholesterol (HDL-C) levels, and changes in low-density lipoprotein cholesterol levels (Hager et al., 2017). Very low-density lipoprotein, HDL, lipid concentration, and the composition of these lipoproteins, as well as TG and fatty acids in all lipoprotein subclasses, are associated with CKD risk (Geng et al., 2024). Thus, lipid metabolism is a crucial area of CKD research.

Publications are representative of the results of scientific research. Bibliometric analysis can be used to analyze the development trend and core influence of a specific scientific field (Chen and Song, 2019). Bibliometrics is mainly analyzed in terms of performance and visualization (Nakagawa et al., 2019; Sabe et al., 2023). There are currently several publications in the fields of CKD and lipid metabolism. However, there have been no systematic bibliometric evaluations of lipid metabolism in patients with CKD. Therefore, we conducted a bibliometric study to comprehensively evaluate the topic hotspots and trends in CKD and lipid metabolism.

2 Methods

2.1 Bibliometric data and search strategy

Since the inception of the database, we have searched the Science Citation Index Expanded and Social Sciences Citation Index of the Web of Science Core Collection (WOSCC) for literature on CKD and lipid metabolism. The search formula was as follows: (((TS = (kidney failure, chronic)) OR TS = (renal insufficiency, chronic)) OR TS = (chronic kidney disease)) AND TS = (lipid metabolism). Simultaneously, we excluded studies based on publication date, literature type, and language, as detailed in Figure 1.

Figure 1
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Figure 1. Publications refinement and bibliometrics analysis process.

2.2 Data analysis and bibliometric analysis

We collected information on all eligible articles, including title, author, institution, country, abstract, keywords, journal, publication year, references, and number of citations. All of these were stored in a downloadable format. This study used VOSviewer (v.1.6.19), CiteSpace (v.6.3 R1), the R language (v.4.3.2), and the Bibliometrix (v.4.1.4) package (https://www.bibliometrix.org) for bibliometric analysis and visualization, as detailed in Figure 1. The Hirsch index (H-index) can be used to evaluate the amount and level of academic output of researchers, meaning that H of N papers published are cited at least h times (Hirsch, 2005). Burst analysis can reveal sudden changes in citations within a specific period, thereby identifying important nodes and understanding emerging research trends (Sabe et al., 2023).

3 Results

3.1 Global research status of CKD and lipid metabolism

According to the above search strategy, from 2004 to 2023, 1,285 articles in related fields were published worldwide, and the number of articles is on the rise (Figure 2A). The number of articles published in 2013 and 2016 was highlighted, suggesting that attention to CKD and lipid metabolism has changed over time. The number of papers published annually reflects the development of this research field. Among the top ten countries in the number of publications, the number of publications in the United States continues to occupy an important position, with earlier research timelines. Conversely, the proportion of publications in China has gradually increased since 2017 (Figure 2B). Among these, 14 countries published more than 25 articles during the 20 years (Figure 2C).

Figure 2
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Figure 2. Overall global trends in relevant publications from 2004 to 2023. (A) Annual changes in the number of publications; (B) Percentage area stacking plot of the number of publications in the top ten countries over time; (C) Distribution of countries with more than 25 publications.

3.2 Publications of major countries worldwide

Figure 3A and Table 1 show that publications in the United States have the most citations (17,880 times), followed by China (7,650 times) and Japan (4,101 times). Israel had the highest average citation frequency (136.06 times). Figure 3B shows that Ethiopia had the highest average citation frequency (256.50 times), and the United States ranks 9th. As shown in Figure 3C and Table 1, among the top ten countries with citations, the H-index of the United States was the highest (75), followed by China (50).

Figure 3
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Figure 3. Global citation of relevant publications to assess the quality of publications in individual countries. (A) Top ten most frequently cited countries; (B) Top ten countries with the highest average citation frequency; (C) H-index of the top ten most frequently cited countries.

Table 1
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Table 1. Top ten most frequently cited countries.

3.3 Publication quality of global core authors

The citation frequency of publications reflects the value of the authors. Figure 4A and Table 2 show that the author whose publications were cited most frequently was Levi Moshe (2,247 times), followed by Vaziri Nosratola D (1969 times). Figure 4B shows that Herman-Edelstein Michal publications were cited first on average (250 times), followed by Scherzer Pnina (201.25 times). While Herman-Edelstein Michal has an H-index of only 5, Vaziri Nosratola D has the highest H-index (23) and most published article (25).

Figure 4
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Figure 4. Global citation of relevant publications to assess the quality of individual authors’ publications. (A) Top ten most frequently cited authors; (B) Top ten authors with the highest average citation frequency; (C) H-index of the top ten most frequently cited authors.

Table 2
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Table 2. Top ten most frequently cited authors.

3.4 Countries, institutions, authors, and journals published in the field of research

The number of publications also reflects the popularity of research in related fields. Sixty-nine countries and regions have contributed to research on CKD and lipid metabolism. As shown in Figure 5A; Table 3, China had the largest number of publications (368), followed by the United States (325). The number of publications from China and the United States was more than half of the total number of publications. A total of 1,885 institutions were involved in publishing articles in this field. As shown in Figure 5B, the University of California System, US Department of Veterans Affairs, Veterans Health Administration (VHA), University of California Irvine, and University of Colorado System were the top five institutions with the most publications. A total of 7,615 authors have published articles in this field. As shown in Figure 5C, Vaziri Nosratola D, Levi Moshe, Fornoni Alessia, Zhao Yingyong, and Merscher Sandra are the core authors of this field. Figure 5D shows that the core authors and institutions were primarily concentrated in China and the United States. A total of 466 journals have been published in this field. Table 4 shows that the International Journal of Molecular Sciences has the largest number of publications (35 articles). It is a biological journal, and its articles are primarily collected from the fields of biochemical, molecular biology, and chemical synthesis. Owing to the expansion of journals, the number of articles published has risen rapidly since 2019. Kidney International was the most frequently cited journal (2,056 articles). It is an international journal featuring comprehensive research in medicine, urology, and nephrology. It focuses on key research and frontier progress in these fields, making it one of the most frequently cited journals in nephrology.

Figure 5
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Figure 5. Visual analysis of global publications by country, institution, author, highly cited articles, disciplines, and journals. (A) Country visualization diagram; (B) Institution visualization diagram; (C) Author visualization diagram; (D) Relationships among authors, countries and institutions; (E) Publication visualization diagram, with label size indicating citation frequency; (F) Discipline visualization diagram; (G) Journal visualization diagram, with label size representing total link strength. Among (A, B, C, F), the node size represents the number of published papers, and the node label size represents the degree value.

Table 3
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Table 3. Top ten countries with the highest number of publications.

Table 4
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Table 4. Top ten journals with the largest number of publications.

3.5 Visual analysis of highly cited articles, disciplines, and journals in global publications

As shown in Figure 5E and Table 5, high-quality articles were obtained by analyzing publications in the research field. Among these, the article published by Kang Hyun Mi in Nature Medicine in 2015 was cited the most frequently (869 times). In this thesis, a genome-wide transcriptome study of a large cohort (n = 95) of normal and fibrotic human tubular samples was performed, followed by systems and network analyses, to identify inflammation and metabolism as the most important dysregulated pathways in diseased kidneys. Additionally, both in vitro and mouse models of renal tubulointerstitial fibers suggest that correcting defects in fatty acid oxidation (FAO) metabolism might be helpful for the prevention and treatment of CKD (Kang et al., 2015). As shown in Figure 5F, urology and nephrology, biochemistry and molecular biology, endocrinology and metabolism, pharmacology and pharmacy, and medicine, research, and experimental are the key related disciplines in this field. In Figure 5G, Diabetes and Kidney International were the key journals in this field. Diabetes, founded in 1952, is an international journal featuring comprehensive research on medical endocrinology and metabolism that focuses on key research and frontier progress in these fields.

Table 5
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Table 5. Top ten cited articles.

3.6 Bibliometric analysis of reference, journal, and author citation bursts

A citation burst is the focus of researchers over a short period, reflecting whether the author’s research is close to the current hotspot. As shown in Figure 6A, the article Altered renal lipid metabolism and accumulation in human diabetic nephropathy (DN) published by Herman-Edelstein Michal in 2014, showed the highest burst intensity (21.56) with 358 citations. This study examined lipid staining and lipid metabolism gene expression in renal biopsies from patients with DN (n = 34) and compared them with those in normal kidneys (n = 12). Massive lipid deposition and increased intracellular lipid droplets were associated with dysregulated lipid metabolism genes, and there was a highly significant correlation among glomerular filtration rate, inflammation, and lipid metabolism genes. This provides evidence for the pathogenic mechanism of lipid metabolism in DN (Herman-Edelstein et al., 2014). Rosuvastatin and cardiovascular events in patients undergoing hemodialysis, published by Fellström in 2009 in the New England Journal of Medicine, showed the most sustained burst intensity (9.18, 2009–2014). A multicenter, randomized, double-blind trial enrolled 2,776 patients to study the improvement of cardiovascular events in maintenance hemodialysis patients treated with rosuvastatin. The trial demonstrated that rosuvastatin reduced low-density lipoprotein cholesterol levels but did not have a significant effect on the composite primary endpoints of death from cardiovascular causes, nonfatal myocardial infarction, or nonfatal stroke (Fellstrom et al., 2009). An analysis of the journals shows in Figure 6B that the International Journal of Molecular Sciences, which focuses on chemistry, molecular physics (chemical physics and physical chemistry), and molecular biology, has the strongest burst intensity (33.69). Various journals have been published for a long time. In Figure 6C, Attman PO and Coresh Josef are the authors with the longest duration of burst intensity, both spanning 11 years, with outbreak intensities of 9.71 and 7.44, respectively. Among them, Attman PO has published articles in Kidney International (five articles), American Journal of Kidney Diseases (two articles), Journal of the American Society of Nephrology (one article), and Progress in Lipid Research (one article) from 1987 to 2006. Additionally, Coresh Josef has published several articles in the field of CKD and lipid metabolism (Attman et al., 1987; Attman and Alaupovic, 1991; Attman et al., 1992; Attman et al., 1993; Samuelsson et al., 1998; Attman et al., 1999; Lee et al., 2002; Samuelsson et al., 2002; Alaupovic et al., 2006). Josef published several articles in various top journals focusing on cardiac cardiovascular systems and urology and nephrology (Buckley et al., 2023; Deo et al., 2023; Khan et al., 2023; Ndumele et al., 2023a; Ndumele et al., 2023b). Kasiske Bertram L is the author with the strongest burst intensity (16.17) and has published several articles in a variety of top journals; however, the main area of research is Transplantation (Lam et al., 2015; Grams et al., 2016; Wheeler and Kasiske, 2016; House et al., 2019; Kasiske et al., 2020; Josephson et al., 2023).

Figure 6
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Figure 6. Bibliometric analysis of citation burst among references, journals, and authors. (A) Citation burst in references; (B) Citation burst in journals; (C) Citation burst in authors. Red horizontal lines indicate the importance of references, journals, and authors in the field. The longer the red line, the longer the reference, the journal, and the author sustained attention.

3.7 Collaborative analysis between authors, countries, and institutions

Co-citation occurs when an article is co-cited by different authors or when an author is cited multiple times. Co-citations reflect the research direction and cross-developments of academia. Figure 7A shows the cooperative circle of authors formed in this field. Vaziri Nosratola D and Zhao Yingyong collaborated closely and jointly on several publications (Chen et al., 2019; Feng et al., 2020). Figure 7B shows that the United States, England, and China are the core contributing countries. The National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Shanghai Jiaotong University, and University of California, Irvine, were the core contributing institutions (Figure 7C).

Figure 7
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Figure 7. Map of collaboration among authors, countries, and institutions. (A) Visualization of authors co-cited by publications; (B) Visualization of countries of cooperation between publications; (C) Visualization of cooperative institutions among publications. Different colors represent different clusters. Nodes of the same color represent authors, countries, and institutions, showing closer and more frequent collaboration. The size of each node represents the total link strength. The lines between nodes indicate cooperation, and the width of the lines indicates the degree of cooperation.

3.8 Analysis of co-cited publications and journals

The cocitation map reveals the cocitation network of highly cited articles. As shown in Figure 8A, Kidney International and the Journal of the American Society of Nephrology were the core contributing journals. In Figure 8B, Herman-Edelstein Michal’s article, published in the Journal of Lipid Research in 2014, was the core and most co-cited document (133 times). As shown in Figure 8C, the published articles were primarily in the fields of molecular biology, immunology, medicine, medical and clinical, whereas the cited articles were mainly in the fields of molecular biology, genetics, health, nursing, and medicine.

Figure 8
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Figure 8. Visual analysis of co-cited publications and journals. (A) Visualization of collaborative journals between co-cited publications; (B) Visualization of co-cited publications; (C) Overlay analysis of journal double graphs. Different colors in A and B represent different clusters. Nodes of the same color represent journals and publications exhibiting more frequent citations. The size of each node represents the total link strength. The lines between nodes indicate reference relationships, and the width of the lines indicates the degree of reference. In C, the left side is the citing journal, the right side is the cited journal, and the line path represents the citation relationship.

3.9 Keyword analysis and future direction

Keyword analysis can identify field hotspots and potential research directions. Figure 9A and Table 6 show high-frequency keywords: chronic kidney disease (436 times), oxidative stress (238 times), metabolism (205 times), inflammation (125 times), and lipid metabolism (117 times). The visible keywords in Figure 9B can form ten clusters, which indicate the most prominent themes in the field to date. As shown in Figure 9C, adipose tissue was the most persistent keyword, as the research heat persisted for 10 years. Diabetic kidney disease (DKD) had the highest outbreak intensity (13.27). Further analysis of the clusters (Figures 9D, E) showed that cardiovascular disease (CVD) and CKD have been popular research topics since 2004, indicating a close relationship between the two. DKD has also gradually become a popular research topic in this field.

Figure 9
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Figure 9. Visual analysis of keywords and trends in research hotspots. (A) Keyword visualization diagram, where node size represents the occurrence frequency and node label size represents the degree value; (B) Keywords network cluster analysis, clusters with different colors represent different clusters; (C) Keyword burst analysis; (D) Keywords time zone map; (E) Keyword time map; (F) Tree map; (G) Thematic map; (H). Trend topics; (I) Thematic evolution.

Table 6
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Table 6. High frequency keywords related to lipid metabolism in chronic kidney disease.

As shown in Figures 9F–I, CKD and abnormal lipid metabolism have been the focus of research, among which oxidative stress (6%), inflammation (4%), and insulin resistance (IR) (5%) are crucial. Figures 9H, I show the changing trend of keywords, among which autophagy, the NOD-like receptor protein 3 (NLRP3) inflammasome, and cell death have been the research hotspots in recent years.

4 Discussion

From 2004 to 2023, the number of publications on lipid metabolism in CKD gradually increased, indicating that lipid metabolism in CKD will remain a research hotspot in the future. In this study, we provide a comprehensive overview of the progress in lipid metabolism research in CKD through bibliometric analysis, with a focus on future research directions. Globally, the authors, countries, and institutions in this field are primarily concentrated in China and the United States. Vaziri Nosratola D, Levi Moshe, and Zhao Yingyong were the main contributing authors, who were the authors of the top five publications and top ten cited publications. There is also a close collaboration between Vaziri Nosratola D and Zhao Yingyong. The identification of serum metabolites associated with chronic kidney disease progression and the antifibrotic effect of 5-methoxytryptophan (5-MTP) was published in Nature Communications in 2019 and is one of the most cited papers in their collaboration (165 times) (Chen et al., 2019). In this study, the level of 5-MTP decreased with the progression of CKD according to untargeted metabolomics in 2,155 patients with CKD and healthy controls. The efficacy of 5-MTP was further verified in mice with unilateral ureteral obstruction, ischemia/reperfusion injury, and in human kidney cells. The key role of tryptophan hydroxylase-1, an enzyme involved in 5-MTP synthesis, in inhibiting renal inflammation and fibrosis has been confirmed. They also showed that serum acetylcarnitine levels in patients with CKD increased significantly with a decrease in renal function. Acetylcarnitine may facilitate acetyl-CoA uptake into the mitochondrial matrix during FAO. Elevated serum acetylcarnitine levels in patients with CKD can contribute to skeletal muscle IR by promoting the reverse carnitine acetyltransferase reaction, leading to the accumulation of acetyl-CoA in the mitochondria (Miyamoto et al., 2016). In a study using UPLC-HDMS-based lipidomics to detect serum lipid metabolites in 180 patients with advanced CKD and 120 healthy controls, elevated levels of serum total fatty acids, glycerides, and glycerophospholipids were directly correlated with elevated serum triglyceride levels and inversely correlated with estimated glomerular filtration rate (eGFR) levels. Changes in lipid metabolites have also been reported in patients with CKD (Chen et al., 2017). Polyporus umbellatus may play a protective role in renal fibrosis by regulating fatty acyl metabolism (Wang et al., 2021).

Kidney International, a leading journal in the field of kidney disease, has published several articles on lipid metabolism in patients with CKD. The article on Lipotoxicity published by Weinberg JM in the Journal in 2006 was also among the top ten most-cited articles in the field (294 times) (Weinberg, 2006). This review summarizes the related findings on non-renal tissue lipotoxicity and the pathogenesis of renal lipotoxicity in acute and CKD to further promote the development of this field.

The keywords summarize developments in the field. Systemic lipid homeostasis is of great interest in cardiometabolic diseases (Arsenault et al., 2011; Jaffe and Karumanchi, 2024; Maestri et al., 2024). Glucose and lipid metabolism disorders are the major determinants of the development and progression of DKD (Fu et al., 2020; Mori et al., 2021). Our keyword analysis showed that CVD and DKD are hotspots in the study of lipid metabolism in CKD. Dyslipidemia is a major risk factor for CVD (Hager et al., 2017). Elevated triglyceride levels may increase the risk of CVD through excessive free fatty acid release, the production of proinflammatory cytokines and coagulation factors, and fibrinolysis dysfunction (Reiner, 2017). Lipid oxidation promotes atherosclerosis through endothelial dysfunction and inflammation (Gianazza et al., 2019). CKD is a major risk factor for atherosclerotic CVD (Tonelli et al., 2012). Patients with CKD were also associated with a significant cardiovascular risk (OR = 1.69), and approximately 50% of patients with CKD4-5 had cardiovascular disease (Stevens et al., 2007). Its manifestations include coronary artery disease, heart failure, arrhythmias, and sudden cardiac death (Jankowski et al., 2021). CVD was the most common cause of death in patients with CKD3-5. With a decrease in eGFR, the proportion of deaths from heart failure and valvular disease increased significantly (Thompson et al., 2015). Increasing evidence suggests that lipid-lowering therapy can reduce the incidence of cardiovascular events in CKD (Schlackow et al., 2019). DKD is the leading cause of ESRD (Umanath and Lewis, 2018). Abnormal glucose and lipid metabolisms play important roles in the pathogenesis of DKD. In DKD, ectopic lipid accumulation in the kidney exceeds lipid droplet storage and damages podocytes and tubular cells (Yang et al., 2018; Schelling, 2022). Studies have shown that Statins are effective in preventing DKD (Zhou et al., 2023). Therefore, correcting dyslipidemia has great potential to delay the progression of CKD.

According to the keyword trends, inflammation, oxidative stress, and IR were the topics of lipid metabolism. Inflammation is the main pathogenic mechanism underlying CKD, obesity, impaired glucose tolerance, and IR (Brennan et al., 2021), which can lead to glomerulosclerosis, tubular atrophy, and fibrosis. Ectopic lipid deposition in the kidneys can lead to an inflammatory response (Samuel and Shulman, 2012). Studies have shown that DKD is associated with proinflammatory cytokines, such as circulating levels of C-reactive protein, interleukin-6, intercellular adhesion molecule-1, plasminogen activator inhibitor 1, soluble tumor necrosis factor receptor-1 (sTNFR-1), and sTNFR-2 (Groop et al., 2009; Lopes-Virella et al., 2013; Liu et al., 2024). NLRP3 is a prominent target in the study of inflammatory mechanisms. ZDHHC12-mediated palmitoylation promotes NLRP3 degradation via the chaperone-mediated autophagy pathway (Wang and Cui, 2023). Fatty acid synthesis can drive inflammation by activating the NLRP3 inflammasome through palmitoylation (Leishman et al., 2024). In addition, statins can inhibit NLRP3 activation in the kidney to improve cholesterol-induced inflammation and water channel aquaporin 2 (AQP2) expression (Kong et al., 2020). 6-Gingerol plays a crucial protective role in DN by inducing the expression of miRNA-146a and miRNA-223 and inhibiting the TLR4/TRAF6/NLRP3 inflammasome signaling pathway (Aboismaiel et al., 2024). Oxidative stress is also associated with CKD (Kishi et al., 2024). Lipotoxicity is a significant inducer of oxidative stress (Tanase et al., 2022; Chae et al., 2023). Lipid peroxidation can regulate podocyte migration and cytoskeletal structure through redox-sensitive Ras homologous gene family member A signaling (Kruger et al., 2018). The cellular oxidative stress microenvironment can drive fibroblast activation, leading to renal fibrosis (Li et al., 2023). Research on intracellular signal transduction pathways induced by oxidative stress focuses on the kelch-like erythroid cell-derived protein with the CNC homology-associated protein 1(Keap1)- nuclear factor erythroid 2-related factor 2 (Nrf2) pathway, forkhead box O (FoxO) proteins, HIF-1 pathway and the nuclear factor-κB (NF-κB) pathway (Chae et al., 2023). A meta-analysis of 95 studies suggested that antioxidants may reduce cardiovascular events and progression to renal failure and may improve renal function (Colombijn et al., 2023). Increasing trends in IR were associated with a high risk of adverse renal outcomes, and eGFR was independently associated with insulin sensitivity (Akwo et al., 2021; Yang et al., 2022). The exacerbation of IR increases the risk of cardiorenal outcomes in CKD, whereas the endothelin receptor antagonist atrisentan reduces IR (Smeijer et al., 2023). Farnesoid X receptor agonists also improve IR and renal lipid metabolism in db/db mice (Han S. Y. et al., 2021).

Recently, autophagy and cell death have attracted considerable attention in the field of lipid metabolism in CKD. Autophagy affects different renal cell types and significantly affects the maintenance of renal function and homeostasis (He et al., 2014). It may exert a protective effect against cyclosporin-induced metabolic stress in renal proximal tubular epithelial cells (Kimura et al., 2013). Autophagy in endothelial cells and podocytes synergistically protects against diabetes-induced glomerulosclerosis (Lenoir et al., 2015). Lipophagy is selective autophagy that targets lipid droplets for degradation (Laval and Ouimet, 2023). In proximal tubule cell (PTC)-specific Atg5-deficient (atg5-TSKO) mice, lipophagy counteracts prolonged starvation in PTCs to prevent cellular energy depletion (Minami et al., 2017). Lipophagy is involved in ectopic lipid deposition and lipid-related renal injury in DN; however, these changes can be reversed by AdipoRon, an activator of the adiponectin receptor that promotes autophagy (Han Y. et al., 2021). Deficiency of α-klotho, an anti-aging protein in the renal tubular epithelial cell membrane, leads to ubiquitin-mediated adipose triglyceride lipase degradation, which is a common molecular basis for lipolysis and lipophagy (Wang et al., 2023). Autophagy-modifying drugs can be used to prevent or treat kidney disease. Metformin can upregulate adenosine monophosphate-activated protein kinase signaling and induce autophagy (Lin et al., 2019). Autophagy inhibition can activate endoplasmic reticulum stress, leading to podocyte apoptosis (Fang et al., 2014). Cell death is critical in the pathophysiology of CKD. Cholesterol 25-hydroxylase, an enzyme involved in cholesterol metabolism, maintains endothelial cell activity by regulating ADP-ribosylation factor 4, which further improves kidney injury in DKD (Zhang et al., 2024). Necroptosis leads to the release of cellular contents and cytokines that trigger an inflammatory response in adjacent tissues (Kolbrink et al., 2023). TNF-α and interferon-γ can induce necroptosis through two different pathways (Liu et al., 2018). Ferroptosis is a recently discovered form of iron-dependent cell death characterized by the accumulation of lipid peroxides (Li S. et al., 2024). It depends on the convergence of iron, thiol, and lipid metabolic pathways (Bayır et al., 2023). Ferroptosis plays a crucial role in renal fibrosis, which is a key pathological change in CKD (Li S. et al., 2024). The ferroptosis inducers, erastin and RSL3, can induce renal tubular epithelial cell death in vitro (Wang et al., 2020). Ferroptosis inhibitor Ferrostatin-1 (Fer-1) alleviates renal tubular cell death induced by transforming growth factor-beta1 (Kim et al., 2021). In summary, numerous studies exist on the mechanism of lipid metabolism in CKD; however, effective treatment of CKD with related targets must be further studied.

We found that lipid metabolism in IgA nephropathy, membranous nephropathy, and other types of glomerulonephritis has been under-researched. There is significant potential for research on drugs that target renal lipid metabolism therapy (Izumihara et al., 2024). The discovery of peptide drugs for the treatment of CKD has attracted wide attention, with fibroin peptide notably ameliorating adriamycin-induced nephropathy by regulating lipid metabolism through the PANX1-PPARα/PANK1 pathway (Li S. S. et al., 2024). Our study also highlighted traditional Chinese medicine monomers as a promising area for maintaining renal lipid homeostasis, such as hydrangea paniculata coumarins (Chen et al., 2024), Icariside II (Wang et al., 2024), berberine (Qin et al., 2020), etc.

Our study has some limitations. First, the data for this study were only obtained from the WOSCC database, and some articles in non-English, non-research, and reviews were not included. Second, the data in this study were obtained using bibliometric software based on machine learning, and most of the results were obtained using machine algorithms; therefore, some new research ideas may not be presented. Third, the latest high-quality articles could not be included in the statistics, possibly because of insufficient citation frequency due to time constraints.

5 Conclusion

In this study, we conducted a systematic bibliometric review of CKD and lipid metabolism from 2004 to 2023 to demonstrate the current status and global trends in related fields. China has the most publications and is second only to the United States in H-index and number of citations in this field. The International Journal of Molecular Sciences published the most publications in this field, and Kidney International, the top journal in the field of kidney disease, is also a core publication. CVD and DKD are closely associated with the lipid metabolism of patients with CKD. Additionally, oxidative stress, inflammation, IR, autophagy, and cell death are research hotspots. Future studies should focus on the treatment of CKD with lipid-lowering targets.

Data availability statement

The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding authors.

Author contributions

YW: Writing–original draft, Data curation, Methodology, Software, Visualization. TL: Software, Visualization, Writing–original draft. WL: Supervision, Writing–review and editing. HZ: Supervision, Writing–review and editing. PL: Supervision, Writing–review and editing.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by Grants from National Nature Science Foundation of China (82374382, 82174144).

Acknowledgments

We would like to thank Editage (www.editage.cn) for English language editing.

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

Aboismaiel, M. G., Amin, M. N., and Eissa, L. A. (2024). Renoprotective effect of a novel combination of 6-gingerol and metformin in high-fat diet/streptozotocin-induced diabetic nephropathy in rats via targeting miRNA-146a, miRNA-223, TLR4/TRAF6/NLRP3 inflammasome pathway and HIF-1α. Biol. Res. 57 (1), 47. doi:10.1186/s40659-024-00527-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Adams, L. A., Anstee, Q. M., Tilg, H., and Targher, G. (2017). Non-alcoholic fatty liver disease and its relationship with cardiovascular disease and other extrahepatic diseases. Gut 66 (6), 1138–1153. doi:10.1136/gutjnl-2017-313884

PubMed Abstract | CrossRef Full Text | Google Scholar

Akwo, E. A., Sahinoz, M., Alsouqi, A., Siew, E. D., Ikizler, T. A., and Hung, A. M. (2021). Effect modification of body mass index and kidney function on insulin sensitivity among patients with moderate CKD and healthy controls. Kidney Int. Rep. 6 (11), 2811–2820. doi:10.1016/j.ekir.2021.08.031

PubMed Abstract | CrossRef Full Text | Google Scholar

Alaupovic, P., Attman, P. O., Knight-Gibson, C., Mulec, H., Weiss, L., and Samuelsson, O. (2006). Effect of fluvastatin on apolipoprotein-defined lipoprotein subclasses in patients with chronic renal insufficiency. Kidney Int. 69 (10), 1865–1871. doi:10.1038/sj.ki.5000327

PubMed Abstract | CrossRef Full Text | Google Scholar

Arsenault, B. J., Boekholdt, S. M., and Kastelein, J. J. (2011). Lipid parameters for measuring risk of cardiovascular disease. Nat. Rev. Cardiol. 8 (4), 197–206. doi:10.1038/nrcardio.2010.223

PubMed Abstract | CrossRef Full Text | Google Scholar

Attman, P. O., and Alaupovic, P. (1991). Abnormalities of lipoprotein composition in renal insufficiency. Prog. Lipid Res. 30 (2-3), 275–279. doi:10.1016/0163-7827(91)90025-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Attman, P. O., Alaupovic, P., and Gustafson, A. (1987). Serum apolipoprotein profile of patients with chronic renal failure. Kidney Int. 32 (3), 368–375. doi:10.1038/ki.1987.219

PubMed Abstract | CrossRef Full Text | Google Scholar

Attman, P. O., Nyberg, G., William-Olsson, T., Knight-Gibson, C., and Alaupovic, P. (1992). Dyslipoproteinemia in diabetic renal failure. Kidney Int. 42 (6), 1381–1389. doi:10.1038/ki.1992.430

PubMed Abstract | CrossRef Full Text | Google Scholar

Attman, P. O., Samuelsson, O., and Alaupovic, P. (1993). Lipoprotein metabolism and renal failure. Am. J. Kidney Dis. 21 (6), 573–592. doi:10.1016/s0272-6386(12)80030-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Attman, P. O., Samuelsson, O. G., Moberly, J., Johansson, A. C., Ljungman, S., Weiss, L. G., et al. (1999). Apolipoprotein B-containing lipoproteins in renal failure: the relation to mode of dialysis. Kidney Int. 55 (4), 1536–1542. doi:10.1046/j.1523-1755.1999.00375.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Bayır, H., Dixon, S. J., Tyurina, Y. Y., Kellum, J. A., and Kagan, V. E. (2023). Ferroptotic mechanisms and therapeutic targeting of iron metabolism and lipid peroxidation in the kidney. Nat. Rev. Nephrol. 19 (5), 315–336. doi:10.1038/s41581-023-00689-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Brennan, E., Kantharidis, P., Cooper, M. E., and Godson, C. (2021). Pro-resolving lipid mediators: regulators of inflammation, metabolism and kidney function. Nat. Rev. Nephrol. 17 (11), 725–739. doi:10.1038/s41581-021-00454-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Buckley, L. F., Claggett, B. L., Matsushita, K., McMahon, G. M., Skali, H., Coresh, J., et al. (2023). Chronic kidney disease, heart failure, and adverse cardiac remodeling in older adults: the ARIC study. JACC Heart Fail 11 (5), 523–537. doi:10.1016/j.jchf.2023.01.029

PubMed Abstract | CrossRef Full Text | Google Scholar

Chae, S. Y., Kim, Y., and Park, C. W. (2023). Oxidative stress induced by lipotoxicity and renal hypoxia in diabetic kidney disease and possible therapeutic interventions: targeting the lipid metabolism and hypoxia. Antioxidants (Basel) 12 (12), 2083. doi:10.3390/antiox12122083

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, C., and Song, M. (2019). Visualizing a field of research: a methodology of systematic scientometric reviews. PLoS One 14 (10), e0223994. doi:10.1371/journal.pone.0223994

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, D. Q., Cao, G., Chen, H., Argyopoulos, C. P., Yu, H., Su, W., et al. (2019). Identification of serum metabolites associating with chronic kidney disease progression and anti-fibrotic effect of 5-methoxytryptophan. Nat. Commun. 10 (1), 1476. doi:10.1038/s41467-019-09329-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, H., Chen, L., Liu, D., Chen, D. Q., Vaziri, N. D., Yu, X. Y., et al. (2017). Combined clinical phenotype and lipidomic analysis reveals the impact of chronic kidney disease on lipid metabolism. J. Proteome Res. 16 (4), 1566–1578. doi:10.1021/acs.jproteome.6b00956

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, Y., Liu, X., Ma, J., Wang, W., Li, Z., Wu, H., et al. (2024). Hydrangea paniculata coumarins alleviate adriamycin-induced renal lipotoxicity through activating AMPK and inhibiting C/EBPβ. J. Ethnopharmacol. 329, 118156. doi:10.1016/j.jep.2024.118156

PubMed Abstract | CrossRef Full Text | Google Scholar

Colombijn, J. M., Hooft, L., Jun, M., Webster, A. C., Bots, M. L., Verhaar, M. C., et al. (2023). Antioxidants for adults with chronic kidney disease. Cochrane Database Syst. Rev. 11 (11), CD008176. doi:10.1002/14651858.CD008176.pub3

PubMed Abstract | CrossRef Full Text | Google Scholar

D'Agati, V. D., Chagnac, A., de Vries, A. P., Levi, M., Porrini, E., Herman-Edelstein, M., et al. (2016). Obesity-related glomerulopathy: clinical and pathologic characteristics and pathogenesis. Nat. Rev. Nephrol. 12 (8), 453–471. doi:10.1038/nrneph.2016.75

PubMed Abstract | CrossRef Full Text | Google Scholar

Deo, R., Dubin, R. F., Ren, Y., Murthy, A. C., Wang, J., Zheng, H., et al. (2023). Proteomic cardiovascular risk assessment in chronic kidney disease. Eur. Heart J. 44 (23), 2095–2110. doi:10.1093/eurheartj/ehad115

PubMed Abstract | CrossRef Full Text | Google Scholar

Eckardt, K. U., Coresh, J., Devuyst, O., Johnson, R. J., Kottgen, A., Levey, A. S., et al. (2013). Evolving importance of kidney disease: from subspecialty to global health burden. Lancet 382 (9887), 158–169. doi:10.1016/S0140-6736(13)60439-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Fang, L., Li, X., Luo, Y., He, W., Dai, C., and Yang, J. (2014). Autophagy inhibition induces podocyte apoptosis by activating the pro-apoptotic pathway of endoplasmic reticulum stress. Exp. Cell Res. 322 (2), 290–301. doi:10.1016/j.yexcr.2014.01.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Fellstrom, B. C., Jardine, A. G., Schmieder, R. E., Holdaas, H., Bannister, K., Beutler, J., et al. (2009). Rosuvastatin and cardiovascular events in patients undergoing hemodialysis. N. Engl. J. Med. 360 (14), 1395–1407. doi:10.1056/NEJMoa0810177

PubMed Abstract | CrossRef Full Text | Google Scholar

Feng, Y. L., Chen, D. Q., Vaziri, N. D., Guo, Y., and Zhao, Y. Y. (2020). Small molecule inhibitors of epithelial-mesenchymal transition for the treatment of cancer and fibrosis. Med. Res. Rev. 40 (1), 54–78. doi:10.1002/med.21596

PubMed Abstract | CrossRef Full Text | Google Scholar

Ferro, C. J., Mark, P. B., Kanbay, M., Sarafidis, P., Heine, G. H., Rossignol, P., et al. (2019). Author Correction: lipid management in patients with chronic kidney disease. Nat. Rev. Nephrol. 15 (2), 121. doi:10.1038/s41581-018-0099-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Forbes, J. M., and Thorburn, D. R. (2018). Mitochondrial dysfunction in diabetic kidney disease. Nat. Rev. Nephrol. 14 (5), 291–312. doi:10.1038/nrneph.2018.9

PubMed Abstract | CrossRef Full Text | Google Scholar

Fu, Y., Sun, Y., Wang, M., Hou, Y., Huang, W., Zhou, D., et al. (2020). Elevation of JAML promotes diabetic kidney disease by modulating podocyte lipid metabolism. Cell Metab. 32 (6), 1052–1062. doi:10.1016/j.cmet.2020.10.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Geng, T. T., Chen, J. X., Lu, Q., Wang, P. L., Xia, P. F., Zhu, K., et al. (2024). Nuclear magnetic resonance-based metabolomics and risk of CKD. Am. J. Kidney Dis. 83 (1), 9–17. doi:10.1053/j.ajkd.2023.05.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Gianazza, E., Brioschi, M., Fernandez, A. M., and Banfi, C. (2019). Lipoxidation in cardiovascular diseases. Redox Biol. 23, 101119. doi:10.1016/j.redox.2019.101119

PubMed Abstract | CrossRef Full Text | Google Scholar

Grams, M. E., Sang, Y., Levey, A. S., Matsushita, K., Ballew, S., Chang, A. R., et al. (2016). Kidney-failure risk Projection for the living kidney-donor Candidate. N. Engl. J. Med. 374 (5), 411–421. doi:10.1056/NEJMoa1510491

PubMed Abstract | CrossRef Full Text | Google Scholar

Groop, P. H., Thomas, M. C., Moran, J. L., Waden, J., Thorn, L. M., Makinen, V. P., et al. (2009). The presence and severity of chronic kidney disease predicts all-cause mortality in type 1 diabetes. Diabetes 58 (7), 1651–1658. doi:10.2337/db08-1543

PubMed Abstract | CrossRef Full Text | Google Scholar

Hager, M. R., Narla, A. D., and Tannock, L. R. (2017). Dyslipidemia in patients with chronic kidney disease. Rev. Endocr. Metab. Disord. 18 (1), 29–40. doi:10.1007/s11154-016-9402-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Han, S. Y., Song, H. K., Cha, J. J., Han, J. Y., Kang, Y. S., and Cha, D. R. (2021a). Farnesoid X receptor (FXR) agonist ameliorates systemic insulin resistance, dysregulation of lipid metabolism, and alterations of various organs in a type 2 diabetic kidney animal model. Acta Diabetol. 58 (4), 495–503. doi:10.1007/s00592-020-01652-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Han, Y., Xiong, S., Zhao, H., Yang, S., Yang, M., Zhu, X., et al. (2021b). Lipophagy deficiency exacerbates ectopic lipid accumulation and tubular cells injury in diabetic nephropathy. Cell Death Dis. 12 (11), 1031. doi:10.1038/s41419-021-04326-y

PubMed Abstract | CrossRef Full Text | Google Scholar

He, L., Livingston, M. J., and Dong, Z. (2014). Autophagy in acute kidney injury and repair. Nephron Clin. Pract. 127 (1-4), 56–60. doi:10.1159/000363677

PubMed Abstract | CrossRef Full Text | Google Scholar

Heiwe, S., and Jacobson, S. H. (2011). Exercise training for adults with chronic kidney disease. Cochrane Database Syst. Rev. 2011 (10), CD003236. doi:10.1002/14651858.CD003236.pub2

PubMed Abstract | CrossRef Full Text | Google Scholar

Herman-Edelstein, M., Scherzer, P., Tobar, A., Levi, M., and Gafter, U. (2014). Altered renal lipid metabolism and renal lipid accumulation in human diabetic nephropathy. J. Lipid Res. 55 (3), 561–572. doi:10.1194/jlr.P040501

PubMed Abstract | CrossRef Full Text | Google Scholar

Hill, N. R., Fatoba, S. T., Oke, J. L., Hirst, J. A., O'Callaghan, C. A., Lasserson, D. S., et al. (2016). Global prevalence of chronic kidney disease - a systematic review and meta-analysis. PLoS One 11 (7), e0158765. doi:10.1371/journal.pone.0158765

PubMed Abstract | CrossRef Full Text | Google Scholar

Hirsch, J. E. (2005). An index to quantify an individual's scientific research output. Proc. Natl. Acad. Sci. U. S. A. 102 (46), 16569–16572. doi:10.1073/pnas.0507655102

PubMed Abstract | CrossRef Full Text | Google Scholar

House, A. A., Wanner, C., Sarnak, M. J., Piña, I. L., McIntyre, C. W., Komenda, P., et al. (2019). Heart failure in chronic kidney disease: conclusions from a kidney disease: Improving global outcomes (KDIGO) controversies conference. Kidney Int. 95 (6), 1304–1317. doi:10.1016/j.kint.2019.02.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Izumihara, R., Nomoto, H., Kito, K., Yamauchi, Y., Omori, K., Shibayama, Y., et al. (2024). Switching from conventional fibrates to pemafibrate has beneficial effects on the renal function of diabetic subjects with chronic kidney disease. Diabetes Metab. J. 48 (3), 473–481. doi:10.4093/dmj.2023.0370

PubMed Abstract | CrossRef Full Text | Google Scholar

Jaffe, I. Z., and Karumanchi, S. A. (2024). Lipid droplets in the endothelium: the missing link between metabolic syndrome and cardiovascular disease? J. Clin. Invest. 134 (4), e176347. doi:10.1172/JCI176347

PubMed Abstract | CrossRef Full Text | Google Scholar

Jankowski, J., Floege, J., Fliser, D., Bohm, M., and Marx, N. (2021). Cardiovascular disease in chronic kidney disease: pathophysiological insights and therapeutic options. Circulation 143 (11), 1157–1172. doi:10.1161/CIRCULATIONAHA.120.050686

PubMed Abstract | CrossRef Full Text | Google Scholar

Josephson, M. A., Becker, Y., Budde, K., Kasiske, B. L., Kiberd, B. A., Loupy, A., et al. (2023). Challenges in the management of the kidney allograft: from decline to failure: conclusions from a kidney disease: improving global outcomes (KDIGO) controversies conference. Kidney Int. 104 (6), 1076–1091. doi:10.1016/j.kint.2023.05.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Kalantar-Zadeh, K., Jafar, T. H., Nitsch, D., Neuen, B. L., and Perkovic, V. (2021). Chronic kidney disease. Lancet 398 (10302), 786–802. doi:10.1016/S0140-6736(21)00519-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Kang, H. M., Ahn, S. H., Choi, P., Ko, Y. A., Han, S. H., Chinga, F., et al. (2015). Defective fatty acid oxidation in renal tubular epithelial cells has a key role in kidney fibrosis development. Nat. Med. 21 (1), 37–46. doi:10.1038/nm.3762

PubMed Abstract | CrossRef Full Text | Google Scholar

Kasiske, B. L., Anderson-Haag, T. L., Duprez, D. A., Kalil, R. S., Kimmel, P. L., Pesavento, T. E., et al. (2020). A prospective controlled study of metabolic and physiologic effects of kidney donation suggests that donors retain stable kidney function over the first nine years. Kidney Int. 98 (1), 168–175. doi:10.1016/j.kint.2020.01.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Khan, S. S., Coresh, J., Pencina, M. J., Ndumele, C. E., Rangaswami, J., Chow, S. L., et al. (2023). Novel prediction equations for absolute risk assessment of total cardiovascular disease incorporating cardiovascular-kidney-metabolic health: a scientific statement from the American heart association. Circulation 148 (24), 1982–2004. doi:10.1161/cir.0000000000001191

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, S., Kang, S. W., Joo, J., Han, S. H., Shin, H., Nam, B. Y., et al. (2021). Correction: characterization of ferroptosis in kidney tubular cell death under diabetic conditions. Cell Death Dis. 12 (4), 382. doi:10.1038/s41419-021-03667-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Kimura, T., Takahashi, A., Takabatake, Y., Namba, T., Yamamoto, T., Kaimori, J. Y., et al. (2013). Autophagy protects kidney proximal tubule epithelial cells from mitochondrial metabolic stress. Autophagy 9 (11), 1876–1886. doi:10.4161/auto.25418

PubMed Abstract | CrossRef Full Text | Google Scholar

Kishi, S., Nagasu, H., Kidokoro, K., and Kashihara, N. (2024). Oxidative stress and the role of redox signalling in chronic kidney disease. Nat. Rev. Nephrol. 20 (2), 101–119. doi:10.1038/s41581-023-00775-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Kolbrink, B., von Samson-Himmelstjerna, F. A., Murphy, J. M., and Krautwald, S. (2023). Role of necroptosis in kidney health and disease. Nat. Rev. Nephrol. 19 (5), 300–314. doi:10.1038/s41581-022-00658-w

PubMed Abstract | CrossRef Full Text | Google Scholar

Kong, Y., Feng, W., Zhao, X., Zhang, P., Li, S., Li, Z., et al. (2020). Statins ameliorate cholesterol-induced inflammation and improve AQP2 expression by inhibiting NLRP3 activation in the kidney. Theranostics 10 (23), 10415–10433. doi:10.7150/thno.49603

PubMed Abstract | CrossRef Full Text | Google Scholar

Kruger, C., Burke, S. J., Collier, J. J., Nguyen, T. T., Salbaum, J. M., and Stadler, K. (2018). Lipid peroxidation regulates podocyte migration and cytoskeletal structure through redox sensitive RhoA signaling. Redox Biol. 16, 248–254. doi:10.1016/j.redox.2018.02.024

PubMed Abstract | CrossRef Full Text | Google Scholar

Lam, N. N., Lentine, K. L., Levey, A. S., Kasiske, B. L., and Garg, A. X. (2015). Long-term medical risks to the living kidney donor. Nat. Rev. Nephrol. 11 (7), 411–419. doi:10.1038/nrneph.2015.58

PubMed Abstract | CrossRef Full Text | Google Scholar

Laval, T., and Ouimet, M. (2023). A role for lipophagy in atherosclerosis. Nat. Rev. Cardiol. 20 (7), 431–432. doi:10.1038/s41569-023-00885-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, D. M., Knight-Gibson, C., Samuelsson, O., Attman, P. O., Wang, C. S., and Alaupovic, P. (2002). Lipoprotein particle abnormalities and the impaired lipolysis in renal insufficiency. Kidney Int. 61 (1), 209–218. doi:10.1046/j.1523-1755.2002.00116.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Leishman, S., Aljadeed, N. M., Qian, L., Cockcroft, S., Behmoaras, J., and Anand, P. K. (2024). Fatty acid synthesis promotes inflammasome activation through NLRP3 palmitoylation. Cell Rep. 43 (8), 114516. doi:10.1016/j.celrep.2024.114516

PubMed Abstract | CrossRef Full Text | Google Scholar

Lenoir, O., Jasiek, M., Henique, C., Guyonnet, L., Hartleben, B., Bork, T., et al. (2015). Endothelial cell and podocyte autophagy synergistically protect from diabetes-induced glomerulosclerosis. Autophagy 11 (7), 1130–1145. doi:10.1080/15548627.2015.1049799

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, L., Lu, M., Peng, Y., Huang, J., Tang, X., Chen, J., et al. (2023). Oxidatively stressed extracellular microenvironment drives fibroblast activation and kidney fibrosis. Redox Biol. 67, 102868. doi:10.1016/j.redox.2023.102868

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, S., Han, Q., Liu, C., Wang, Y., Liu, F., Pan, S., et al. (2024a). Role of ferroptosis in chronic kidney disease. Cell Commun. Signal 22 (1), 113. doi:10.1186/s12964-023-01422-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, S. S., Liu, Q. J., Bao, J. X., Lu, M. T., Deng, B. Q., Li, W. W., et al. (2024b). Counteracting TGM2 by a Fibroin peptide ameliorated Adriamycin-induced nephropathy via regulation of lipid metabolism through PANX1-PPAR α/PANK1 pathway. Transl. Res. 271, 26–39. doi:10.1016/j.trsl.2024.05.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Lin, T. A., Wu, V. C., and Wang, C. Y. (2019). Autophagy in chronic kidney diseases. Cells 8 (1), 61. doi:10.3390/cells8010061

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, B. C., Tang, T. T., Lv, L. L., and Lan, H. Y. (2018). Renal tubule injury: a driving force toward chronic kidney disease. Kidney Int. 93 (3), 568–579. doi:10.1016/j.kint.2017.09.033

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, T., Zhao, H., Wang, Y., Qu, P., Wang, Y., Wu, X., et al. (2024). Serum high mobility group box 1 as a potential biomarker for the progression of kidney disease in patients with type 2 diabetes. Front. Immunol. 15, 1334109. doi:10.3389/fimmu.2024.1334109

PubMed Abstract | CrossRef Full Text | Google Scholar

Lopes-Virella, M. F., Baker, N. L., Hunt, K. J., Cleary, P. A., Klein, R., Virella, G., et al. (2013). Baseline markers of inflammation are associated with progression to macroalbuminuria in type 1 diabetic subjects. Diabetes Care 36 (8), 2317–2323. doi:10.2337/dc12-2521

PubMed Abstract | CrossRef Full Text | Google Scholar

Maestri, A., Garagnani, P., Pedrelli, M., Hagberg, C. E., Parini, P., and Ehrenborg, E. (2024). Lipid droplets, autophagy, and ageing: a cell-specific tale. Ageing Res. Rev. 94, 102194. doi:10.1016/j.arr.2024.102194

PubMed Abstract | CrossRef Full Text | Google Scholar

Minami, S., Yamamoto, T., Takabatake, Y., Takahashi, A., Namba, T., Matsuda, J., et al. (2017). Lipophagy maintains energy homeostasis in the kidney proximal tubule during prolonged starvation. Autophagy 13 (10), 1629–1647. doi:10.1080/15548627.2017.1341464

PubMed Abstract | CrossRef Full Text | Google Scholar

Mitrofanova, A., Merscher, S., and Fornoni, A. (2023). Kidney lipid dysmetabolism and lipid droplet accumulation in chronic kidney disease. Nat. Rev. Nephrol. 19 (10), 629–645. doi:10.1038/s41581-023-00741-w

PubMed Abstract | CrossRef Full Text | Google Scholar

Miyamoto, Y., Miyazaki, T., Honda, A., Shimohata, H., Hirayama, K., and Kobayashi, M. (2016). Retention of acetylcarnitine in chronic kidney disease causes insulin resistance in skeletal muscle. J. Clin. Biochem. Nutr. 59 (3), 199–206. doi:10.3164/jcbn.15-146

PubMed Abstract | CrossRef Full Text | Google Scholar

Mori, Y., Ajay, A. K., Chang, J. H., Mou, S., Zhao, H., Kishi, S., et al. (2021). KIM-1 mediates fatty acid uptake by renal tubular cells to promote progressive diabetic kidney disease. Cell Metab. 33 (5), 1042–1061.e7. doi:10.1016/j.cmet.2021.04.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Nakagawa, S., Samarasinghe, G., Haddaway, N. R., Westgate, M. J., O'Dea, R. E., Noble, D. W. A., et al. (2019). Research weaving: visualizing the future of research synthesis. Trends Ecol. Evol. 34 (3), 224–238. doi:10.1016/j.tree.2018.11.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Ndumele, C. E., Neeland, I. J., Tuttle, K. R., Chow, S. L., Mathew, R. O., Khan, S. S., et al. (2023a). A synopsis of the evidence for the science and clinical management of cardiovascular-kidney-metabolic (CKM) syndrome: a scientific statement from the American heart association. Circulation 148 (20), 1636–1664. doi:10.1161/cir.0000000000001186

PubMed Abstract | CrossRef Full Text | Google Scholar

Ndumele, C. E., Rangaswami, J., Chow, S. L., Neeland, I. J., Tuttle, K. R., Khan, S. S., et al. (2023b). Cardiovascular-kidney-metabolic health: a presidential advisory from the American heart association. Circulation 148 (20), 1606–1635. doi:10.1161/cir.0000000000001184

PubMed Abstract | CrossRef Full Text | Google Scholar

Qin, X., Jiang, M., Zhao, Y., Gong, J., Su, H., Yuan, F., et al. (2020). Berberine protects against diabetic kidney disease via promoting PGC-1α-regulated mitochondrial energy homeostasis. Br. J. Pharmacol. 177 (16), 3646–3661. doi:10.1111/bph.14935

PubMed Abstract | CrossRef Full Text | Google Scholar

Reiner, Z. (2017). Hypertriglyceridaemia and risk of coronary artery disease. Nat. Rev. Cardiol. 14 (7), 401–411. doi:10.1038/nrcardio.2017.31

PubMed Abstract | CrossRef Full Text | Google Scholar

Sabe, M., Chen, C., Perez, N., Solmi, M., Mucci, A., Galderisi, S., et al. (2023). Thirty years of research on negative symptoms of schizophrenia: a scientometric analysis of hotspots, bursts, and research trends. Neurosci. Biobehav Rev. 144, 104979. doi:10.1016/j.neubiorev.2022.104979

PubMed Abstract | CrossRef Full Text | Google Scholar

Samuel, V. T., and Shulman, G. I. (2012). Mechanisms for insulin resistance: common threads and missing links. Cell 148 (5), 852–871. doi:10.1016/j.cell.2012.02.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Samuelsson, O., Attman, P. O., Knight-Gibson, C., Larsson, R., Mulec, H., Weiss, L., et al. (1998). Complex apolipoprotein B-containing lipoprotein particles are associated with a higher rate of progression of human chronic renal insufficiency. J. Am. Soc. Nephrol. 9 (8), 1482–1488. doi:10.1681/asn.V981482

PubMed Abstract | CrossRef Full Text | Google Scholar

Samuelsson, O., Attman, P. O., Knight-Gibson, C., Mulec, H., Weiss, L., and Alaupovic, P. (2002). Fluvastatin improves lipid abnormalities in patients with moderate to advanced chronic renal insufficiency. Am. J. Kidney Dis. 39 (1), 67–75. doi:10.1053/ajkd.2002.29883

PubMed Abstract | CrossRef Full Text | Google Scholar

Schelling, J. R. (2022). The contribution of lipotoxicity to diabetic kidney disease. Cells 11 (20), 3236. doi:10.3390/cells11203236

PubMed Abstract | CrossRef Full Text | Google Scholar

Schlackow, I., Kent, S., Herrington, W., Emberson, J., Haynes, R., Reith, C., et al. (2019). Cost-effectiveness of lipid lowering with statins and ezetimibe in chronic kidney disease. Kidney Int. 96 (1), 170–179. doi:10.1016/j.kint.2019.01.028

PubMed Abstract | CrossRef Full Text | Google Scholar

Shimano, H., and Sato, R. (2017). SREBP-regulated lipid metabolism: convergent physiology - divergent pathophysiology. Nat. Rev. Endocrinol. 13 (12), 710–730. doi:10.1038/nrendo.2017.91

PubMed Abstract | CrossRef Full Text | Google Scholar

Smeijer, J. D., Kohan, D. E., Rossing, P., Correa-Rotter, R., Liew, A., Tang, S. C. W., et al. (2023). Insulin resistance, kidney outcomes and effects of the endothelin receptor antagonist atrasentan in patients with type 2 diabetes and chronic kidney disease. Cardiovasc Diabetol. 22 (1), 251. doi:10.1186/s12933-023-01964-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Stevens, P. E., O'Donoghue, D. J., de Lusignan, S., Van Vlymen, J., Klebe, B., Middleton, R., et al. (2007). Chronic kidney disease management in the United Kingdom: NEOERICA project results. Kidney Int. 72 (1), 92–99. doi:10.1038/sj.ki.5002273

PubMed Abstract | CrossRef Full Text | Google Scholar

Tanase, D. M., Gosav, E. M., Anton, M. I., Floria, M., Seritean Isac, P. N., Hurjui, L. L., et al. (2022). Oxidative stress and NRF2/KEAP1/ARE pathway in diabetic kidney disease (DKD): new perspectives. Biomolecules 12 (9), 1227. doi:10.3390/biom12091227

PubMed Abstract | CrossRef Full Text | Google Scholar

Thompson, S., James, M., Wiebe, N., Hemmelgarn, B., Manns, B., Klarenbach, S., et al. (2015). Cause of death in patients with reduced kidney function. J. Am. Soc. Nephrol. 26 (10), 2504–2511. doi:10.1681/ASN.2014070714

PubMed Abstract | CrossRef Full Text | Google Scholar

Tonelli, M., Muntner, P., Lloyd, A., Manns, B. J., Klarenbach, S., Pannu, N., et al. (2012). Risk of coronary events in people with chronic kidney disease compared with those with diabetes: a population-level cohort study. Lancet 380 (9844), 807–814. doi:10.1016/S0140-6736(12)60572-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Tonelli, M., Wiebe, N., Culleton, B., House, A., Rabbat, C., Fok, M., et al. (2006). Chronic kidney disease and mortality risk: a systematic review. J. Am. Soc. Nephrol. 17 (7), 2034–2047. doi:10.1681/ASN.2005101085

PubMed Abstract | CrossRef Full Text | Google Scholar

Umanath, K., and Lewis, J. B. (2018). Update on diabetic nephropathy: core curriculum 2018. Am. J. Kidney Dis. 71 (6), 884–895. doi:10.1053/j.ajkd.2017.10.026

PubMed Abstract | CrossRef Full Text | Google Scholar

Vaziri, N. D. (2006). Dyslipidemia of chronic renal failure: the nature, mechanisms, and potential consequences. Am. J. Physiol. Ren. Physiol. 290 (2), F262–F272. doi:10.1152/ajprenal.00099.2005

PubMed Abstract | CrossRef Full Text | Google Scholar

Wahba, I. M., and Mak, R. H. (2007). Obesity and obesity-initiated metabolic syndrome: mechanistic links to chronic kidney disease. Clin. J. Am. Soc. Nephrol. 2 (3), 550–562. doi:10.2215/CJN.04071206

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, L., and Cui, J. (2023). Palmitoylation promotes chaperone-mediated autophagic degradation of NLRP3 to modulate inflammation. Autophagy 19 (10), 2821–2823. doi:10.1080/15548627.2023.2187957

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, M., Wang, J., Wang, L., Feng, X., Qian, Y., Ye, C., et al. (2024). Icariside II prevents kidney fibrosis development in chronic kidney disease by promoting fatty acid oxidation. Phytother. Res. 38 (2), 839–855. doi:10.1002/ptr.8085

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, Y., Bi, R., Quan, F., Cao, Q., Lin, Y., Yue, C., et al. (2020). Ferroptosis involves in renal tubular cell death in diabetic nephropathy. Eur. J. Pharmacol. 888, 173574. doi:10.1016/j.ejphar.2020.173574

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, Y., Ran, L., Lan, Q., Liao, W., Wang, L., Wang, Y., et al. (2023). Imbalanced lipid homeostasis caused by membrane αKlotho deficiency contributes to the acute kidney injury to chronic kidney disease transition. Kidney Int. 104 (5), 956–974. doi:10.1016/j.kint.2023.08.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, Y. N., Wu, X. Q., Zhang, D. D., Hu, H. H., Liu, J. L., Vaziri, N. D., et al. (2021). Polyporus umbellatus protects against renal fibrosis by regulating intrarenal fatty acyl metabolites. Front. Pharmacol. 12, 633566. doi:10.3389/fphar.2021.633566

PubMed Abstract | CrossRef Full Text | Google Scholar

Webster, A. C., Nagler, E. V., Morton, R. L., and Masson, P. (2017). Chronic kidney disease. Lancet 389 (10075), 1238–1252. doi:10.1016/S0140-6736(16)32064-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Weinberg, J. M. (2006). Lipotoxicity. Kidney Int. 70 (9), 1560–1566. doi:10.1038/sj.ki.5001834

PubMed Abstract | CrossRef Full Text | Google Scholar

Wheeler, D. C., and Kasiske, B. L. (2016). Statins for hemodialysis patients with diabetes? Long-term follow-up endorses the original conclusions of the 4D Study. Kidney Int. 89 (6), 1189–1191. doi:10.1016/j.kint.2016.02.045

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, S., Kwak, S., Song, Y. H., Han, S. S., Lee, H. S., Kang, S., et al. (2022). Association of longitudinal trajectories of insulin resistance with adverse renal outcomes. Diabetes Care 45 (5), 1268–1275. doi:10.2337/dc21-2521

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, W., Luo, Y., Yang, S., Zeng, M., Zhang, S., Liu, J., et al. (2018). Ectopic lipid accumulation: potential role in tubular injury and inflammation in diabetic kidney disease. Clin. Sci. (Lond) 132 (22), 2407–2422. doi:10.1042/CS20180702

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, L., Fang, Z., Zhu, Q., Yang, S., Fu, J., Sun, Z., et al. (2024). Cholesterol 25-hydroxylase protects against diabetic kidney disease by regulating ADP ribosylation factor 4. Adv. Sci. (Weinh) 11 (29), e2309642. doi:10.1002/advs.202309642

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, S., Su, L., Xu, R., Li, Y., Chen, R., Cao, Y., et al. (2023). Statin initiation and risk of incident kidney disease in patients with diabetes. CMAJ 195 (21), E729–E738. doi:10.1503/cmaj.230093

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: bibliometrics, chronic kidney disease, lipid metabolism, visualization, citespace

Citation: Wang Y, Liu T, Liu W, Zhao H and Li P (2024) Research hotspots and future trends in lipid metabolism in chronic kidney disease: a bibliometric and visualization analysis from 2004 to 2023. Front. Pharmacol. 15:1401939. doi: 10.3389/fphar.2024.1401939

Received: 16 March 2024; Accepted: 26 August 2024;
Published: 03 September 2024.

Edited by:

Xiaoxin Wang, Georgetown University Medical Center, United States

Reviewed by:

Komuraiah Myakala, Georgetown University Medical Center, United States
Xuezhong Gong, Shanghai Municipal Hospital of Traditional Chinese Medicine, China
Hui Y. Lan, The Chinese University of Hong Kong, China

Copyright © 2024 Wang, Liu, Liu, Zhao and Li. 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: Weijing Liu, bGl1d2VpamluZy0xOTc3QGhvdG1haWwuY29t; Hailing Zhao, emhseTAxNjdAMTYzLmNvbQ==; Ping Li, bHA4Njc1QDE2My5jb20=

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