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. 2021 Apr 29;22:158. doi: 10.1186/s12882-021-02369-z

The evolution and future of diabetic kidney disease research: a bibliometric analysis

Yi Wei 1, Zongpei Jiang 1,
PMCID: PMC8084262  PMID: 33926393

Abstract

Background

Diabetic kidney disease (DKD) is one of the most important complications of diabetic mellitus. It is essential for nephrologists to understand the evolution and development trends of DKD.

Methods

Based on the total cited numbers in the Web of Science Core Collection, which was searched through September 28th, 2020, we performed a bibliometric analysis of the top 100 most cited full-length original articles on the subject of DKD. The timespans, authors, contributions, subcategories, and topics of those 100 articles were analysed. In addition, the evolution of topics in DKD research was investigated.

Results

There were 23,968 items under the subject of DKD in the Web of Science Core Collection. The top 100 cited articles, published from 1999 to 2017, were cited 38,855 times in total. Researchers from the USA contributed the most publications. The number of articles included in ‘Experimental studies (EG)’, ‘Clinical studies (CS)’, ‘Epidemiological studies (ES)’, and ‘Pathological and pathophysiological studies (PP)’ were 65, 26, 7, and 2, respectively. Among the 15 topics, the most popular topic is the renin-angiotensin-aldosterone system (RAAS), occurring in 26 articles, including 6 of the top 10 most cited articles. The evolution of topics reveals that the role of RAAS inhibitor is a continuous hotspot, and sodium-glucose cotransporter 2 (SGLT-2) inhibitor and glucagon-like peptide 1 (GLP-1) agonist are two renoprotective agents which represent novel therapeutic methods in DKD. In addition, the 26 clinical studies among the top 100 most cited articles were highlighted, as they help guide clinical practice to better serve patients.

Conclusions

This bibliometric analysis of the top 100 most cited articles revealed important studies, popular topics, and trends in DKD research to assist researchers in further understanding the subject.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12882-021-02369-z.

Keywords: DKD, RAAS, ACE2, SGLT-2, Bibliometric analysis

Background

Diabetes mellitus (DM) is a severe global health problem and contributes to increased health care costs. It is estimated that more than 450 million people are affected by this disease, and this number will reach 700 million people by 2045 [1]. Diabetic kidney disease (DKD) is one of the most important complications of DM, and chronic kidney disease occurs in more than 20–40% of DM patients [2]. Thus, overall comprehension of the mechanism and treatment of DKD is essential for nephrologists, especially young researchers.

Recent reviews have helped researchers understand the mechanism, diagnosis, and treatment of DKD, as summarized in Table S1. These studies highlight the vital roles of immunity and inflammation [35], oxidative stress (OS) [68], haemodynamic and metabolic shifts [9], epigenetic factors [10] and tubule function [11] in the pathogenesis and prognosis of DKD. However, these content-based reviews have 3 limitations. First, the review contents are deep but narrow, which makes it difficult for readers to understand the overall research status of the subject. Second, the articles referenced in the reviews were manually selected. The large workload leads to limited numbers. However, subjective judgement may lead to the loss of information. Authors may miss important research. Even if an article is cited, its importance and influence may be neglected. Third, readers cannot learn the evolution of the subject or evolution of popular topics and thus cannot develop a deeper comprehension of the subject.

Clinical and experimental studies on DKD have developed rapidly. In total, there were 23,968 items in the Web of Science Core Collection on the subject of DKD from 1999 to September 28th, 2020. In a sense, the citation time (CT) represents the influence and significance of the article. Bibliometric analysis is a method utilized in many fields to illustrate the landscape of subjects [12, 13]. Based on CT, bibliometric analysis objectively includes articles of subject on subject in the analysis and reflects the evolution of a subject, trends of popular topics and collaborative relationships among researchers and countries [1416]. To determine the influential research, the distribution of disparate topics and the evolution of research trends, we performed a bibliometric analysis of the top 100 most cited articles in clinical and experimental studies of DKD.

Materials and methods

Data collection and filtration

To acquire literature data representing high-quality research, we retrieved publications on the subject of DKD from the Web of Science Core Collection using the search strategy: TOPIC: (DKD OR (diabetic NEAR/0 nephropathy) OR (diabetic NEAR/0 kidney)). Research results were ranked by CT, which was based on the absolute number of citations for each article through September 28th, 2020. Articles involving the following research objects were defined as publications on the subject of DKD and were manually selected: DKD populations; diabetes populations with proteinuria or kidney disease; tissue, blood, or urine from DKD and diabetes patients with proteinuria or kidney disease; diabetic animals with kidney injury; and renal cell models simulating diabetes injury. Only full-length original articles were included in this study while other types of articles, such as guidelines, reviews, and meta-analyses, were excluded. Finally, only the top 100 most cited full-length original articles written in English on the subject of DKD were included in this study.

Data analysis and visualization

Elements including the article title, author, address, abstract, keyword, journal, publication year and CT were included in the analysis. The article number was equal to the article rank among the 100 articles. The relevant countries were analysed according to the corresponding authors. If the corresponding authors came from the same country, the article was defined as a single-country publication; otherwise, it was defined as a multi-country publication. Subcategories and topics were manually summarized and counted. The average citation time (ACT) of each article was equal to the CT divided by the number of years the article was cited, and the number of years the article was cited was equal to 2020 plus 1 minus the number of the published year. In addition, the number of citations per article per year was equal to the sum of ACTs of all articles published in the same year divided by the number of articles. The author’s influence score was represented by the sum of the ACT, and one article was scored on only the publication year.

Bibliometric analysis was performed using the Bibliometric R Package [17]. Journal analysis was performed using the module of most relevant sources. Country analysis was performed using the module of the corresponding author’s country. The frequencies of key words included in the word cloud were determined using the module of most frequent words with abstract parameters.

Figures were made by Microsoft PowerPoint, ggplot2 R Package, and ggwordcloud R Package. The process of data preparation and analysis is shown in Fig. 1.

Fig. 1.

Fig. 1

Strategy for data preparation and analysis. We retrieved publications on the subject of DKD from the Web of Science Core Collection and ranked the top 100 most cited articles. After subcategory and topic identification, we performed analyses of the journals, countries, author contributions, distributions and topic evolution

Results

Basic information of the top 100 most cited articles

As shown in Table 1, the top 100 most cited articles were published in 26 journals, and 55% of the articles were published in the following 4 journals: Journal of the American Society of Nephrology (21%), Diabetes (16%), Kidney International (10%), and The New England Journal of Medicine (8%).

Table 1.

List of the relevant scientific journals

Journal Number of articles
J Am Soc Nephrol 21
Diabetes 16
Kidney Int 10
N Engl J Med 8
J Clin Invest 6
JAMA 4
J Biol Chem 4
Am J Physiol Renal Physiol 3
Hypertension 3
Nat Med 3
Proc Natl Acad Sci U S A 3
Am J Pathol 2
Diabetes Care 2
FASEB J 2
Nephrol Dial Transplant 2
Am J Kidney Dis 1
Am J Nephrol 1
Ann Intern Med 1
Arch Intern Med 1
Biochim Biophys Acta 1
Cell Metab 1
Circulation 1
Diabetes Obes Metab 1
Diabetologia 1
Lancet 1
Nat Cell Biol 1

The 100 articles were published from 1999 to 2017 and were cumulatively cited 38,855 times. The publication time spans are shown in Fig. 2. There were 20 articles published from 1999 to 2002, 38 articles published from 2003 to 2007, 31 articles published from 2008 to 2012 and 11 articles published from 2013 to 2017. In 2003, 13 articles were published, which made 2013 the year with the most publications.

Fig. 2.

Fig. 2

Timespans of the top 100 most cited articles. The blue bars represent the number of publications for each year, and the yellow line represents the number of citations per article per year. The distributions of articles and citation in disparate years are shown in the figure

Finally, we analysed the authors, and their affiliations, of the top 100 most cited articles. The authors shown in Figure S1 were the top 10 most relevant authors ranked by the author’s influence score. The dot size represents the score of authors, and the dot colour reflects the number of works published by the author. In Table 2, we found that scientists from the USA contributed the most publications.

Table 2.

List of the relevant countries analysed according to the corresponding author

Country Number of articles Single-county publication Multiple-country publication
USA 47 24 23
Japan 14 8 6
Australia 11 6 5
Germany 5 1 4
Netherland 5 0 5
Denmark 4 0 4
UK 3 2 1
Canada 2 0 2
Finland 2 0 2
Belgium 1 0 1
Chile 1 0 1
China 1 1 0
India 1 1 0
Ireland 1 0 1
Italy 1 0 1
Korea 1 0 1

Identification of the subcategories of the top 100 articles

We divided the articles into 4 subcategories according to the research type and content. The most abundant article subcategory was ‘Experimental studies (EG)’, which explained the phenotypic changes and mechanisms in experimental DKD and comprised 65 articles (49.62% of all citations). The second most abundant subcategory was ‘Clinical studies (CS)’, which focused on the clinical biomarkers and treatment strategies for DKD, and in this subcategory, 26 articles contributed to 41.55% of the total citations. Moreover, 7 articles with 2603 total citations were determined to belong to the subcategory ‘Epidemiological studies (ES)’, and 2 articles specifically describing the pathological and pathophysiological characteristics of DKD belonged to the subcategory ‘Pathological and pathophysiological studies (PP)’. In Table 3, we list the article number and percentage of total citations for each subcategory.

Table 3.

Subcategories of the top 100 most cited articles

Subcategory Description Article Number CT (total) % total

Experimental studies (EG)

n = 65

Studies on mechanisms, metabolomics, transcriptome, genetics, potential molecular biomarkers 5, 6, 12, 13, 19–25, 28–31, 33, 34, 37–40, 42, 43, 45, 48, 49, 51, 53–57, 59–61, 63, 65, 67–74, 77–79, 81–85, 87–92, 94–97, 99, 100 19,280 49.62

Clinical studies (CS)

n = 26

Clinical trials, observational studies 1–3, 7–10, 14, 15, 17, 18, 27, 32, 35, 36, 41, 44, 50, 52, 62, 64, 66, 75, 80, 86, 93 16,144 41.55

Epidemiological studies (ES)

n = 7

Studies on prevalence, risk factors, outcomes 4, 16, 26, 46, 58, 76, 98 2603 6.70

Pathological and pathophysiological studies (PP)

n = 2

Studies on pathology and pathophysiology 11, 47 828 2.13

To learn more about the contents of the 100 articles, we analysed the key words. Figure 3 shows the highly frequent words related to the top 100 most cited articles on DKD. To further determine the hotspots in DKD research, we analysed articles in the subcategories ‘EG’ and ‘CS’ by their topic. In Table 4, we list the top 100 most cited articles and their topics.

Fig. 3.

Fig. 3

Word cloud of the top 100 most cited articles. Key words were extracted from the abstracts of the top 100 most cited articles to illustrate a word cloud

Table 4.

List of the top 100 most cited articles

Number Year Author Title Journal CT (ACT) Subcategory Topic
1 2001 Brenner BM, et al Effects of losartan on renal and cardiovascular outcomes in patients with type 2 diabetes and nephropathy N Engl J Med 4699 (234.95) CS RAAS
2 2001 Parving HH, et al The effect of irbesartan on the development of diabetic nephropathy in patients with type 2 diabetes N Engl J Med 2229 (111.45) CS RAAS
3 2008 Parving HH, et al Aliskiren combined with losartan in type 2 diabetes and nephropathy N Engl J Med 769 (59.15) CS RAAS
4 2003 Steffes MW, et al Sustained effect of intensive treatment of type 1 diabetes mellitus on development and progression of diabetic nephropathy - the Epidemiology of Diabetes Interventions and Complications (EDIC) study JAMA 751 (41.72) ES Undefined
5 2006 Susztak K, et al Glucose-induced reactive oxygen species cause apoptosis of podocytes and podocyte depletion at the onset of diabetic nephropathy Diabetes 731 (48.73) MG OS
6 2000 Ziyadeh FN, et al Long-term prevention of renal insufficiency excess matrix gene expression and glomerular mesangial matrix expansion by treatment with monoclonal antitransforming growth factor-beta antibody in db/db diabetic mice Proc Natl Acad Sci U S A 707 (33.67) MG TGF-β
7 2004 de Zeeuw D, et al Proteinuria, a target for renoprotection in patients with type 2 diabetic nephropathy: lessons from RENAAL Kidney Int 676 (39.76) CS RAAS
8 2002 Schrier RW, et al Effects of aggressive blood pressure control in normotensive type 2 diabetic patients on albuminuria, retinopathy and strokes Kidney Int 571 (30.05) CS BP
9 2013 Fried LF, et al. Combined angiotensin inhibition for the treatment of diabetic nephropathy Kidney Int 552 (69.00) CS RAAS
10 2004 de Zeeuw D, et al Albuminuria, a therapeutic target for cardiovascular protection in type 2 diabetic patients with nephropathy Circulation 544 (32.00) CS RAAS
11 2010 Tervaert TWC, et al Pathologic classification of diabetic nephropathy J Am Soc Nephrol 539 (49.00) PP Undefined
12 2008 Zeisberg EM, et al Fibroblasts in kidney fibrosis emerge via endothelial-to-mesenchymal transition J Am Soc Nephrol 533 (40.92) MG Fibroblast
13 2007 Kato M, et al MicroRNA-192 in diabetic kidney glomeruli and its function in TGF-beta-induced collagen expression via inhibition of E-box repressors Proc Natl Acad Sci U S A 518 (36.93) MG MiR
14 2003 Perkins BA, et al Regression of microalbuminuria in type 1 diabetes N Engl J Med 497 (27.61) CS T1DM
15 2011 Haller H, et al Olmesartan for the delay or prevention of microalbuminuria in type 2 diabetes N Engl J Med 494 (49.40) CS RAAS
16 2011 de Boer IH, et al Temporal trends in the prevalence of diabetic kidney disease in the United States JAMA 493 (49.30) ES Undefined
17 2010 de Zeeuw D, et al Selective vitamin D receptor activation with paricalcitol for reduction of albuminuria in patients with type 2 diabetes (VITAL study): a randomised controlled trial Lancet 482 (43.82) CS RAAS
18 2013 de Zeeuw D, et al Bardoxolone methyl in type 2 diabetes and stage 4 chronic kidney disease N Engl J Med 476 (59.50) CS OS
19 2003 Wendt TM, et al RAGE drives the development of glomerulosclerosis and implicates podocyte activation in the pathogenesis of diabetic nephropathy Am J Pathol 438 (24.33) MG AGEs/RAGE
20 2009 Kato M, Y, et al TGF-beta activates Akt kinase through a microRNA-dependent amplifying circuit targeting PTEN Nat Cell Biol 427 (35.58) MG MiR
21 2001 Yamamoto Y, et al Development and prevention of advanced diabetic nephropathy in RAGE-overexpressing mice J Clin Invest 390 (19.50) MG AGEs/RAGE
22 2005 Gorin Y, et al Nox4 NAD(P)H oxidase mediates hypertrophy and fibronectin expression in the diabetic kidney J Biol Chem 382 (23.88) MG OS
23 2001 De Vriese, A, et al Antibodies against vascular endothelial growth factor improve early renal dysfunction in experimental diabetes J Am Soc Nephrol 361 (18.05) MG VEGF
24 2000 Koya D, et al Amelioration of accelerated diabetic mesangial expansion by treatment with a PKC beta inhibitor in diabetic db/db mice, a rodent model for type 2 diabetes FASEB J 356 (16.95) MG OS
25 2004 Ichihara A, et al Inhibition of diabetic nephropathy by a decoy peptide corresponding to the “handle” region for nonproteolytic activation of prorenin J Clin Invest 352 (20.71) MG RAAS
26 2009 Groop PH, et al The presence and severity of chronic kidney disease predicts all-cause mortality in type 1 diabetes Diabetes 348 (29.00) ES Undefined
27 2003 Keane WF, et al The risk of developing end-stage renal disease in patients with type 2 diabetes and nephropathy: the RENAAL Study Kidney Int 345 (19.17) CS RAAS
28 1999 Cooper ME, et al Increased renal expression of vascular endothelial growth factor (VEGF) and its receptor VEGFR-2 in experimental diabetes Diabetes 345 (15.68) MG VEGF
29 2015 Kang HM, et al Defective fatty acid oxidation in renal tubular epithelial cells has a key role in kidney fibrosis development Nat Med 344 (57.33) MG Metabolism
30 2000 Tanji N, et al Expression of advanced glycation end products and their cellular receptor RAGE in diabetic nephropathy and nondiabetic renal disease J Am Soc Nephrol 343 (16.33) MG AGEs/RAGE
31 2004 Chow F, et al Macrophages in mouse type 2 diabetic nephropathy: Correlation with diabetic state and progressive renal injury Kidney Int 341 (20.06) MG Inflammation
32 2017 Mann JFE, et al Liraglutide and renal outcomes in type 2 diabetes N Engl J Med 337 (84.00) CS GLP-1
33 2011 Inoki K, et al mTORC1 activation in podocytes is a critical step in the development of diabetic nephropathy in mice J Clin Invest 335 (33.50) MG Podocyte
34 2012 Wang B, et al Suppression of microRNA-29 expression by TGF-beta 1 promotes collagen expression and renal fibrosis J Am Soc Nephrol 329 (36.44) MG MiR
35 2003 Sato A, et al Effectiveness of aldosterone blockade in patients with diabetic nephropathy Hypertension 326 (18.11) CS RAAS
36 2013 Yale JF, et al Efficacy and safety of canagliflozin in subjects with type 2 diabetes and chronic kidney disease Diabetes Obes Metab 324 (40.38) CS SGLT-2
37 2011 Godel M, et al Role of mTOR in podocyte function and diabetic nephropathy in humans and mice J Clin Invest 316 (31.60) MG Podocyte
38 2001 Oldfield MD, et al Advanced glycation end products cause epithelial-myofibroblast transdifferentiation via the receptor for advanced glycation end products (RAGE) J Clin Invest 316 (15.80) MG AGEs/RAGE
39 2002 Onozato ML, et al Oxidative stress and nitric oxide synthase in rat diabetic nephropathy: effects of ACEI and ARB Kidney Int 314 (16.53) MG RAAS
40 1999 Murphy M, et al Suppression subtractive hybridization identifies high glucose levels as a stimulus for expression of connective tissue growth factor and other genes in human mesangial cells J Biol Chem 313 (14.23) MG CTGF
41 2003 Berl T, et al Cardiovascular outcomes in the Irbesartan Diabetic Nephropathy Trial of patients with type 2 diabetes and overt nephropathy Ann Intern Med 306 (17.00) CS RAAS
42 2000 Riser BL, et al Regulation of connective tissue growth factor activity in cultured rat mesangial cells and its expression in experimental diabetic glomerulosclerosis J Am Soc Nephrol 305 (14.52) MG CTGF
43 2006 Chow FY, et al Monocyte chemoattractant protein-1 promotes the development of diabetic renal injury in streptozotocin-treated mice Kidney Int 304 (20.27) MG Inflammation
44 2004 Bolton WK, et al Randomized trial of an inhibitor of formation of advanced glycation end products in diabetic nephropathy Am J Nephrol 302 (17.76) CS AGEs/RAGE
45 2011 Zheng HT, et al Therapeutic potential of Nrf2 activators in streptozotocin-induced diabetic nephropathy Diabetes 302 (30.10) MG OS
46 2006 Parving HH, et al Prevalence and risk factors for microalbuminuria in a referred cohort of type II diabetic patients: a global perspective Kidney Int 299 (19.93) ES Undefined
47 2001 Steffes MW, et al Glomerular cell number in normal subjects and in type 1 diabetic patients Kidney Int 289 (14.45) PP Undefined
48 2008 Wang Q, et al MicroRNA-377 is up-regulated and can lead to increased fibronectin production in diabetic nephropathy FASEB J 288 (22.15) MG MiR
49 2006 Schmid H, et al Modular activation of nuclear factor-kappa B transcriptional programs in human diabetic nephropathy Diabetes 279 (18.60) MG TF
50 2010 Mann JFE, et al Avosentan for overt diabetic nephropathy J Am Soc Nephrol 277 (25.18) CS RAAS
51 2002 Yamagishi S, et al Advanced glycation end product-induced apoptosis and overexpression of vascular endothelial growth factor and monocyte chemoattractant protein-1 in human-cultured mesangial cells J Biol Chem 275 (14.47) MG AGEs/RAGE
52 2003 Bakris GL, et al Effects of blood pressure level on progression of diabetic nephropathy - results from the RENAAL study Arch Intern Med 274 (15.22) CS RAAS
53 2007 Isermann B, et al Activated protein C protects against diabetic nephropathy by inhibiting endothelial and podocyte apoptosis Nat Med 266 (19.00) MG Inflammation
54 2008 Niranjan T, et al The Notch pathway in podocytes plays a role in the development of glomerular disease Nat Med 264 (20.23) MG Podocyte
55 2007 Nakagawa T, et al Diabetic endothelial nitric oxide synthase knockout mice develop advanced diabetic nephropathy J Am Soc Nephrol 262 (18.71) MG OS
56 2003 Babaei-Jadidi R, et al Prevention of incipient diabetic nephropathy by high-dose thiamine and benfotiamine Diabetes 262 (14.56) MG Metabolism
57 2010 Krupa A, et al Loss of MicroRNA-192 promotes fibrogenesis in diabetic nephropathy J Am Soc Nephrol 259 (23.55) MG MiR
58 2005 Thorn LM, et al Metabolic syndrome in type 1 diabetes - association with diabetic nephropathy and glycemic control (the FinnDiane study) Diabetes Care 259 (16.19) ES Undefined
59 2003 Doublier S, et al Nephrin expression is reduced in human diabetic nephropathy - evidence for a distinct role for glycated albumin and angiotensin II Diabetes 259 (14.39) MG Podocyte
60 2009 Coughlan MT, et al RAGE-induced cytosolic ROS promote mitochondrial superoxide generation in diabetes J Am Soc Nephrol 258 (21.50) MG AGEs/RAGE
61 2004 Mezzano S, et al NF-kappa B activation and overexpression of regulated genes in human diabetic nephropathy Nephrol Dial Transplant 256 (15.06) MG TF
62 2005 Atkins RC, et al Proteinuria reduction and progression to renal failure in patients with type 2 diabetes mellitus and overt nephropathy Am J Kidney Dis 252 (15.75) CS RAAS
63 2005 Satoh M, et al NAD(P)H oxidase and uncoupled nitric oxide synthase are major sources of glomerular superoxide in rats with experimental diabetic nephropathy Am J Physiol Renal Physiol 251 (15.69) MG OS
64 2005 Pohl MA, et al Independent and additive impact of blood pressure control and angiotensin II receptor blockade on renal outcomes in the Irbesartan Diabetic Nephropathy Trial: clinical implications and limitations J Am Soc Nephrol 248 (15.50) CS RAAS
65 2013 Sharma K, et al Metabolomics reveals signature of mitochondrial dysfunction in diabetic kidney disease J Am Soc Nephrol 247 (30.88) MG Metabolism
66 2007 Perkins BA, et al Microalbuminuria and the risk for early progressive renal function decline in type 1 diabetes J Am Soc Nephrol 247 (17.64) CS T1DM
67 2010 Sedeek M, et al Critical role of Nox4-based NADPH oxidase in glucose-induced oxidative stress in the kidney: implications in type 2 diabetic nephropathy Am J Physiol Renal Physiol 246 (22.36) MG OS
68 2000 Wada T, et al Up-regulation of monocyte chemoattractant protein-1 in tubulointerstitial lesions of human diabetic nephropathy Kidney Int 246 (11.71) MG Inflammation
69 2011 Woroniecka KI, et al Transcriptome analysis of human diabetic kidney disease Diabetes 242 (24.20) MG TF
70 2003 Kiritoshi S, et al Reactive oxygen species from mitochondria induce cyclooxygenase-2 gene expression in human mesangial cells - potential role in diabetic nephropathy Diabetes 240 (13.33) MG OS
71 2003 Tikellis C, et al Characterization of renal angiotensin-converting enzyme 2 in diabetic nephropathy Hypertension 239 (13.28) MG RAAS
72 2012 Wang WJ, et al Mitochondrial fission triggered by hyperglycemia Is mediated by ROCK1 activation in podocytes and endothelial cells Cell Metab 238 (26.44) MG OS
73 2010 Jiang T, et al The protective role of Nrf2 in streptozotocin-induced diabetic nephropathy Diabetes 238 (21.55) MG OS
74 2002 Flyvbjerg A, et al Amelioration of long-term renal changes in obese type 2 diabetic mice by a neutralizing vascular endothelial growth factor antibody Diabetes 237 (12.47) MG VEGF
75 2007 Eijkelkamp WBA, et al Albuminuria is a target for renoprotective therapy independent from blood pressure in patients with type 2 diabetic nephropathy: post hoc analysis from the reduction of endpoints in NIDDM with the angiotensin II antagonist losartan (RENAAL) trial J Am Soc Nephrol 236 (16.86) CS RAAS
76 2003 Young BA, et al Racial differences in diabetic nephropathy, cardiovascular disease, and mortality in a national population of veterans Diabetes Care 236 (13.11) ES Undefined
77 2008 Li YJ, et al Epithelial-to-mesenchymal transition is a potential pathway leading to podocyte dysfunction and proteinuria Am J Pathol 235 (18.08) MG Podocyte
78 2011 Wang B, et al. MiR-200a prevents renal fibrogenesis through repression of TGF-beta 2 expression Diabetes 234 (23.40) MG MiR
79 2012 Niewczas MA, et al Circulating TNF receptors 1 and 2 predict ESRD in type 2 diabetes J Am Soc Nephrol 233 (25.89) MG Inflammation
80 2009 Mehdi UF, et al Addition of angiotensin receptor blockade or mineralocorticoid antagonism to maximal angiotensin-converting enzyme inhibition in diabetic nephropathy J Am Soc Nephrol 232 (19.33) CS RAAS
81 2008 Thallas-Bonke V, et al Inhibition of NADPH oxidase prevents advanced glycation end product-mediated damage in diabetic nephropathy through a protein kinase C-alpha-dependent pathway Diabetes 232 (17.85) MG OS
82 2005 Jiang T, et al Diet-induced obesity in C57BL/6 J mice causes increased renal lipid accumulation and glomerulosclerosis via a sterol regulatory element-binding protein-1c-dependent pathway J Biol Chem 232 (14.50) MG Metabolism
83 2012 Putta S, et al Inhibiting microRNA-192 ameliorates renal fibrosis in diabetic nephropathy J Am Soc Nephrol 231 (25.67) MG MiR
84 2008 Feldman DL, et al Effects of aliskiren on blood pressure, albuminuria, and (pro)renin receptor expression in diabetic TG(mRen-2)27 rats Hypertension 231 (17.77) MG RAAS
85 2006 Zhao HJ, et al Endothelial nitric oxide synthase deficiency produces accelerated nephropathy in diabetic mice J Am Soc Nephrol 231 (15.40) MG OS
86 2005 Berl T, et al Impact of achieved blood pressure on cardiovascular outcomes in the irbesartan diabetic nephropathy trial J Am Soc Nephrol 228 (14.25) CS RAAS
87 2000 Nakamura T, et al Urinary excretion of podocytes in patients with diabetic nephropathy Nephrol Dial Transplant 228 (10.86) MG Podocyte
88 2011 Palsamy P, et al Resveratrol protects diabetic kidney by attenuating hyperglycemia-mediated oxidative stress and renal inflammatory cytokines via Nrf2-Keap1 signaling Biochim Biophys Acta 227 (22.70) MG OS
89 2013 Dugan LL, et al AMPK dysregulation promotes diabetes-related reduction of superoxide and mitochondrial function J Clin Invest 226 (28.25) MG OS
90 2003 Okada S, et al Intercellular adhesion molecule-1-deficient mice are resistant against renal injury after induction of diabetes Diabetes 226 (12.56) MG Inflammation
91 2005 Asaba K, et al Effects of NADPH oxidase inhibitor in diabetic nephropathy Kidney Int 225 (14.06) MG OS
92 2002 Forbes JM, et al Reduction of the accumulation of advanced glycation end products by ACE inhibition in experimental diabetic nephropathy Diabetes 223 (11.74) MG RAAS
93 2015 Bakris GL, et al Effect of finerenone on albuminuria in patients with diabetic nephropathy: a randomized clinical trial JAMA 221 (36.83) CS RAAS
94 2002 Ha HJ, et al Role of high glucose-induced nuclear factor-kappa B activation in monocyte chemoattractant protein-1 expression by mesangial cells J Am Soc Nephrol 221 (11.63) MG TF
95 2006 Ichihara A, et al Prorenin receptor blockade inhibits development of glomerulosclerosis in diabetic angiotensin II type 1a receptor-deficient mice J Am Soc Nephrol 220 (14.67) MG RAAS
96 2014 Vallon V, et al SGLT2 inhibitor empagliflozin reduces renal growth and albuminuria in proportion to hyperglycemia and prevents glomerular hyperfiltration in diabetic Akita mice Am J Physiol Renal Physiol 219 (31.29) MG SGLT-2
97 2008 Zhang Z, et al Combination therapy with AT1 blocker and vitamin D analog markedly ameliorates diabetic nephropathy: blockade of compensatory renin increase Proc Natl Acad Sci U S A 218 (16.77) MG RAAS
98 2016 Afkarian M, et al Clinical manifestations of kidney disease among US adults with diabetes, 1988–2014 JAMA 217 (43.40) ES Undefined
99 2013 Zhong X, et al MiR-21 is a key therapeutic target for renal injury in a mouse model of type 2 diabetes Diabetologia 217 (27.13) MG MiR
100 2011 Kitada M, et al Resveratrol improves oxidative stress and protects against diabetic nephropathy through normalization of Mn-SOD dysfunction in AMPK/SIRT1-independent pathway Diabetes 217 (27.13) MG OS

Distributions of the top 100 most cited articles in regard to different subcategories, topics and periods

In Fig. 4, we show the distribution of the top 100 most cited articles. We divided the year of publication into 4 periods. The distributions of the 100 articles are shown in Fig. 4a. Most ‘CS’ articles were published from 2003 to 2007 (Fig. 4b), while most ‘MG’ articles were published from 2008 to 2012 (Fig. 4c).

Fig. 4.

Fig. 4

Distributions of the subcategories, topics and time periods. The distributions of the 100 articles are shown in the figure (a). The distributions of clinical studies (b) and experimental studies (c) in different time periods are shown as pie charts. The distributions of topics in clinical (d) and experimental studies (e) are showed as Nightingale rose charts

Intriguingly, we revealed popular research fields via topic analysis. We found that the renin-angiotensin-aldosterone system (RAAS) was the most popular topic. Clinical trials on the application of RAAS blockade in DKD (article number 1, 2, 3, 7, 9, 10, 15, 27, 41, 52, 62, 64, 75, and 86, a total of 11,852 citations, 30.50% of the total citations) included 6 of the top 10 most cited articles, which contributed to 26.52% of the total citations. Correspondingly, 6 articles (article number 25, 39, 71, 84, 92, and 95, a total of 1579 citations, 4.06% of the total citations) explained the mechanism of RAAS in DKD. In addition, RAAS blockade-based combination treatment was also popular among researchers, as it was associated with 6 articles that were cited 1756 times (4.52% of the total citations). RAAS blockade combined with vitamin D analogues (article number 17, 97) and mineralocorticoid antagonism (article number 35, 80, 93) were recommended for renal function protection, but RAAS combined with the endothelin antagonist avosentan (article number 50) was considered to induce fluid overload. Taken together, these data indicated the crucial role of RAAS blockade in therapeutic strategies for DKD.

The next most important topic was how the OS participates in DKD, which was associated with 17 articles published from 2000 to 2013 (article number 5, 18, 22, 24, 45, 55, 63, 67, 70, 72, 73, 81, 85, 88, 89, 91, and 100, a total of 5080 citations, 13.07% of the total citations). In experimental DKD, the increase in reactive oxygen species (ROS) (article number 5) and NAD(P)H oxidase levels (article number 22, 63, 67, and 91), activation of PKC (article number 24 and 81), decrease in eNOS (article number 55, 85, and 100) and mitochondrial dysfunction (article number 70, 72, and 89) promote OS injury, while Nrf2 (article number 45, 73, and 88) protects the kidney from OS in DKD as an antioxidant factor. However, a phase 3 clinical study (article number 18) found that the Nrf2 activator bardoxolone methyl did not ameliorate the loss of renal function. Instead, bardoxolone methyl led to a higher cardiovascular risk.

The accumulation of advanced glycation end products (AGEs) is also a classic pathogenic mechanism in DKD. Among the top 100 most cited articles, 7 articles (article number 19, 21, 30, 38, 44, 51, and 60, a total of 2322 citations) focused on AGEs and the receptor for AGEs (RAGE), which constituted 5.98% of the total citations. Although they slowed the progression of experimental DKD, agents targeting AGEs/RAGE were not easily translated into the clinic. In a randomized clinical trial, pimagedine, an inhibitor of AGE formation, did not ameliorate nephropathy in patients with type 1 diabetic mellitus (T1DM) (article number 44).

In addition to therapies developed based on classic mechanisms, researchers have highlighted new drugs developed based on new mechanisms in recent years. The sodium-glucose cotransporter 2 (SGLT-2) inhibitor empagliflozin and glucagon-like peptide 1 (GLP-1) agonist liraglutide are two rising stars in DKD treatment. There were 2 articles on empagliflozin among the top 100 most cited articles, one clinical trial (article number 36, 324 citations) published in 2013 and one experimental study (article number 96, 219 citations) published in 2014. Moreover, the clinical trial of liraglutide published in 2017 (article number 32, 337 citations) was the latest among the 100 articles. These new drugs represent new trends in DKD research.

Some experimental studies uncovered the crucial mechanisms of DKD, but the clinical translations of these studies were not included in the top 100 most cited articles. Fifteen articles elucidated the important roles of podocyte dysfunction (article number 33, 37, 54, 59, 77, and 87, a total of 1637 citations), immune cells and inflammation (article number 31, 43, 53, 68, 79, and 90, a total of 1616 citations), and vascular endothelial growth factor (VEGF) (article number 23, 28, 74, totally cited 943 times) in DKD, and 4 articles that were cited 1858 times demonstrated that transforming growth factor (TGF)-β (article number 6), fibroblasts (article number 12), and connective tissue growth factor (CTGF) (article number 40, 42) contribute to renal fibrosis in DKD. A new mechanism drawing the attention of researchers was the role of microRNAs (miRs) in DKD, which was discussed in 8 articles published from 2007 to 2013 (article number 13, 20, 34, 48, 57, 78, 83, and 99, a total of 2503 citations). Furthermore, metabolomics and transcriptomics analyses deepened researchers’ understanding of DKD. Targeting metabolic alterations (article number 29, 56, 65, and 82, a total of 1085 citations) and novel transcription factors (TFs) (article number 49, 61, 69, and 94, a total of 998 citations) had therapeutic effects in experimental DKD.

The articles above revealed the mechanism of and treatment strategies for DKD. In the remaining clinical studies, one article (article number 8, 571 citations) emphasized the importance of blood pressure (BP) control in DKD, and 2 articles discussed microalbuminuria (article number 14, 66, a total of 744 citations) in T1DM. Figure 4d and e show the distributions of topics in ‘CS’ and ‘MG’ articles respectively. Furthermore, in Table 5, we separately list the information and results of clinical studies in regard to their critical roles in clinical guidance.

Table 5.

List of the clinical studies among the top 100 most cited articles

Information Topic Patients Main results

Article number 1: Effects of losartan on renal and cardiovascular outcomes in patients with type 2 diabetes and nephropathy

ACT: 234.95

RAAS T2DM patients with nephropathy Losartan reduced the incidence of a doubling of the serum creatinine concentration, the incidence of end-stage renal disease, and the level of proteinuria by 25, 28, and 35%, respectively. In addition, losartan did not significantly alter the morbidity and mortality from cardiovascular causes.

Article number 2: The effect of irbesartan on the development of diabetic nephropathy in patients with type 2 diabetes

ACT: 111.45

RAAS Hypertensive patients with T2DM and microalbuminuria Irbesartan reduced the incidence of nephropathy and the level of urinary albumin excretion independently of its antihypertensive effect. In addition, irbesartan also reduced the incidence of serious adverse events.

Article number 3: Aliskiren combined with losartan in type 2 diabetes and nephropathy

ACT: 59.15

RAAS Hypertensive patients with T2DM and nephropathy Aliskiren reduced the mean UACR by 20% without significant change in the total numbers of adverse and serious adverse events.

Article number 7: Proteinuria, a target for renoprotection in patients with type 2 diabetic nephropathy: lessons from RENAAL

ACT: 39.76

RAAS T2DM patients with nephropathy Baseline albuminuria was the predominant renal risk parameter. The residual albuminuria after 6 months of losartan treatment was another strong renal risk parameter. Losartan reduced the level of albuminuria, which was the major explanation of its renoprotective function.

Article number 8: Effects of aggressive blood pressure control in normotensive type 2 diabetic patients on albuminuria, retinopathy and strokes

ACT: 30.05

BP Normotensive T2DM patients Over a 5-year follow-up period, intensive BP control (approximately 128/75 mmHg) reduced the percentage of normoalbuminuria-to-microalbuminuria and microalbuminuria-to-overt albuminuria, the progression of diabetic retinopathy and the incidence of stroke compared to the moderate BP control group (approximately 137/81 mmHg). In addition, intensive BP control had no significant influence on creatinine clearance.

Article number 9: Combined angiotensin inhibition for the treatment of diabetic nephropathy

ACT: 69.00

RAAS T2DM veterans with overt nephropathy

Over a 2-year follow-up period, the combination of ACEi and ARB induced hyperkalemia and acute kidney injury.

For safety concerns, the study was stopped.

Article number 10: Albuminuria, a therapeutic target for cardiovascular protection in type 2 diabetic patients with nephropathy

ACT: 32.00

RAAS T2DM patients with nephropathy Baseline albuminuria was the predominant risk predictor of cardiovascular outcome. Reducing albuminuria in the first 6 months was renoprotective.

Article number 14: Regression of microalbuminuria in type 1 diabetes

ACT: 27.61

T1DM T1DM patients with microalbuminuria Over a 6-year follow-up period, the incidence of regression of microalbuminuria was 58%. The regression of microalbuminuria did not indicate inexorable progression of nephropathy, and ACEi treatment was not associated with the regression of microalbuminuria.

Article number 15: Olmesartan for the delay or prevention of microalbuminuria in type 2 diabetes

ACT: 49.40

RAAS T2DM patients Over a 3-year follow-up period, olmesartan delayed the onset of microalbuminuria by 23%. Notably, olmesartan increased the risk of fatal cardiovascular events among T2DM patients with preexisting coronary heart disease.

Article number 17: Selective vitamin D receptor activation with paricalcitol for reduction of albuminuria in patients with type 2 diabetes (VITAL study): a randomised controlled trial

ACT: 43.82

RAAS T2DM patients with albuminuria and ACEi or ARB treatment Addition of 2 μg/day paricalcitol to RAAS inhibition safely reduced UACR by 18 to 28% compared with placebo.

Article number 18: Bardoxolone methyl in type 2 diabetes and stage 4 chronic kidney disease

ACT: 59.50

OS T2DM patients with stage 4 chronic kidney disease

Over a 9-month follow-up period, bardoxolone methyl did not reduce the risk of end-stage renal disease or death from cardiovascular causes but induced cardiovascular events.

For safety concerns, the study was stopped.

Article number 27: The risk of developing end-stage renal disease in patients with type 2 diabetes and nephropathy: The RENAAL Study

ACT: 19.17

RAAS T2DM patients with nephropathy A multivariate model showed that proteinuria, serum creatinine, serum albumin and haemoglobin level were independent risk predictors of renal outcomes after control of BP. Moreover, the level of proteinuria was the most important risk parameter for progressive kidney injury.

Article number 32: Liraglutide and renal outcomes in type 2 diabetes

ACT: 84.00

GLP-1 T2DM patients with high risk for cardiovascular disease Over a 3-year follow-up period, liraglutide reduced the new onset of persistent macroalbuminuria by 26% and the risk of the development and progression of DKD.

Article number 35: Effectiveness of aldosterone blockade in patients with diabetic nephropathy

ACT: 18.11

RAAS T2DM patients with early nephropathy and ACEi treatment Aldosterone escape appeared in 40% of patients and led to less effective antiproteinuric effects of ACEi treatment. Over a 6-month follow-up period, addition of spironolactone to ACEi reduced UACR and left ventricular mass index while it did not significantly influence BP.

Article number 36: Efficacy and safety of canagliflozin in subjects with type 2 diabetes and chronic kidney disease

ACT: 40.38

SGLT-2 T2DM patients with stage 3 chronic kidney disease Canagliflozin reduced HbA1c and fasting plasma glucose and was generally well tolerated.

Article number 41: Cardiovascular outcomes in the Irbesartan Diabetic Nephropathy Trial of patients with type 2 diabetes and overt nephropathy

ACT: 17.00

RAAS T2DM patients with overt nephropathy Irbesartan or amlodipine in addition to conventional antihypertensive therapy did not significantly influence the risk of composite cardiovascular events compared to placebo in addition to conventional antihypertensive therapy.

Article number 44: Randomized trial of an inhibitor of formation of advanced glycation end products in diabetic nephropathy

ACT: 17.76

AGEs/RAGE T1DM patients with nephropathy and retinopathy Pimagedine did not significantly influence the progression of overt nephropathy.

Article number 50: Avosentan for overt diabetic nephropathy

ACT: 25.18

OS T2DM patients with ACEi or ARB treatment

Over a 4-month follow-up period, addition of avosentan to RAAS inhibitor reduced albuminuria but induced significant fluid overload and congestive heart failure.

For safety concerns, the study was stopped.

Article number 52: Effects of blood pressure level on progression of diabetic nephropathy - results from the RENAAL study

ACT: 15.22

RAAS T2DM patients with nephropathy and hypertension Baseline systolic blood pressure was a stronger risk predictor than diastolic blood pressure of renal outcomes. Patients with the highest baseline pulse pressure had the highest renal risk and benefited most after losartan-reduced systolic blood pressure.

Article number 62: Proteinuria reduction and progression to renal failure in patients with type 2 diabetes mellitus and overt nephropathy

ACT: 15.75

RAAS T2DM patients with overt nephropathy Each doubling of baseline proteinuria level doubled the risk for renal failure. Each halving of proteinuria level between baseline and 12 months with treatment reduced the risk for renal failure by 56%. With the same reduction in proteinuria, irbesartan reduced more risk of renal failure compared to amlodipine.

Article number 64: Independent and additive impact of blood pressure control and angiotensin II receptor blockade on renal outcomes in the Irbesartan Diabetic Nephropathy Trial: clinical implications and limitations

ACT: 15.50

RAAS Hypertensive T2DM patients with overt nephropathy

Systolic blood pressure was the strong risk predictor of baseline serum creatinine doubling or end-stage renal disease. Systolic blood pressure target between 120 and 130 mmHg combined with irbesartan was recommended.

There was no correlation between diastolic blood pressure and renal outcomes.

Article number 66: Microalbuminuria and the risk for early progressive renal function decline in type 1 diabetes

ACT: 17.64

T1DM T1DM patients Early renal function decline occurred in 9% of the normoalbuminuria group and 31% of the microalbuminuria group. In multivariate analysis, the risk of early renal function decline increased after 35 years old or HbA1c exceeding 9% but was not influenced by diabetes duration, smoking, BP or ACEi treatment. Cystatin C together with microalbuminuria was recommended to diagnose early renal function decline.

Article number 75: Albuminuria is a target for renoprotective therapy independent from blood pressure in patients with type 2 diabetic nephropathy: post hoc analysis from the reduction of endpoints in NIDDM with the angiotensin II antagonist losartan (RENAAL) trial

ACT: 16.86

RAAS T2DM patients with hypertension Systolic blood pressure reduction, albuminuria regression and low level of residual albuminuria were associated with a lower risk of end-stage renal disease. Systolic blood pressure reduction together with albuminuria regression was recommended to be the target of antihypertensive treatment to improve renal outcome.

Article number 80: Addition of angiotensin receptor blockade or mineralocorticoid antagonism to maximal angiotensin-converting enzyme inhibition in diabetic nephropathy

ACT: 19.33

RAAS Hypertensive T2DM patients with albuminuria Compared to lisinopril alone, addition of spironolactone to lisinopril reduced UACR by 36% and addition of losartan to lisinopril reduced UACR by 16.8%. Spironolactone was recommended to be combined with lisinopril for a greater renoprotective function in addition to BP control.

Article number 86: Impact of achieved blood pressure on cardiovascular outcomes in the irbesartan diabetic nephropathy trial

ACT: 14.25

RAAS T2DM patients with overt nephropathy Progressively lower achieved BP 120/85 mmHg was associated with the best protection against cardiovascular events. Increased pulse pressure, systolic blood pressure below 120 mmHg or diastolic blood pressure below 85 mmHg was associated with increased cardiovascular events.

Article number 93: Effect of finerenone on albuminuria in patients with diabetic nephropathy: a randomized clinical trial

ACT: 36.83

RAAS Diabetic patients with high or very high albuminuria and ACEi or ARB treatment Addition of finerenone to ACEi or ARB dose-dependently reduced UACR and was well tolerated.

Regarding other article types, 9 articles subcategorized as ‘ES’ and ‘PP’ helped researchers understand DKD from disparate aspects. Seven articles (article number 4, 16, 26, 46, 58, 76, and 99, a total of 2603 citations) were based on the epidemiological aspects of DKD, and 2 articles (article number 11, 47, a total of 828 citations) defined the pathological characteristics and classifications of DKD. Four of the 9 articles (article number 4, 26, 47, and 58) were specifically on nephropathy in T1DM.

Evolution of topics in clinical and experimental studies of DKD

To elucidate the trends in DKD research, we analysed the distributions of topics of ‘CS’ and ‘MG’ articles in different periods and illustrated their evolution, as shown in Figure S2. Interestingly, we found that RAAS and OS are continuous hotspots of DKD research, again emphasizing the significance of the two research fields. Although attention has been given in the past, the number of studies on AGEs and RAGE has declined in recent years, which may be due to the frustration of clinical translation. Articles on miRs were predominately concentrated from 2008 to 2012, indicating the trendy miR-related study outbreak and attraction of numerous researchers in those years. In addition, some topics have appeared in recent years, including SGLT-2 and GLP-1, which have become new hotspots and have led to novel breakthroughs in DKD studies.

Discussion

In this study, we ranked the top 100 most cited articles on DKD according to the total number of citations in the Web of Science Core Collection. In addition, we analysed the journals, timespans, authors, countries and topics of the 100 articles. This bibliometric analysis helps readers quickly understand the influential studies in DKD research, which topics attract other researchers, and the evolution of the research trend, thus guiding researchers to find interesting research directions and may help facilitate international collaborations. Popular clinical studies guide readers in clinical practice to provide more benefits for patients. Important experimental studies provide laboratory evidence for clinical trials and deepen the comprehension of the development and progression of DKD. Although some studies have not yet been clinically translated, they may direct future research and provide potential biomarkers and therapeutic targets as the subject develops in the future.

Bibliometric analysis is an effective method that is utilized in diverse areas of study [1216, 1820]. A bibliometric analysis performed in 2019 [19] showed that 3 of the top 10 most cited articles in nephrology were on the subject of RAAS blockade usage in DKD. A former bibliometric analysis of DKD [20] highlighted the authors and co-citation networks but not the subcategories or contents. In this study, we further performed a bibliometric analysis of the top 100 most cited articles to elucidate what has been done and what needs to be completed in DKD research. In addition, there were some limitations in this study. We performed this study based on data from the Web of Science Core Collection, which means that some high-quality articles that were published earlier or were not in English were potentially excluded from this study. Another limitation is that the drawback of the bibliometric citation analysis method may contain bias, as recent articles have less time to be cited. Thus, we also listed the number of citations for each article per year, which helps to highlight the influence of recent studies [21] in addition to the total number of citations. On the other hand, we discussed the recent advances in traditional topics and more findings in the latest hotspots.

The most relevant field and a persistent interest in DKD research is RAAS, which was associated with most articles and citations. In the latest Kidney Disease: Improving Global Outcomes guidelines [1], angiotensin-converting enzyme inhibitors (ACEis) and angiotensin-II receptor blockers (ARBs) are recommended for use in DKD patients. In addition to ACEis and ARBs, there are other types of RAAS blockades, including direct renin inhibitors and ectoenzyme neutral endopeptidase inhibitors. In 2008, a randomized study showed that the combination of losartan and aliskiren, a direct renin inhibitor, significantly reduced the mean urine albumin-to-creatinine ratio (UACR) compared with that achieved with losartan combined with placebo in T2DM patients (article number 3, 751 citations). In 2018, the intention-to-treat analysis of UK HARP-III [22] showed that sacubitril, an ectoenzyme neutral endopeptidase inhibitor, combined with valsartan had a similar renal benefit and additional heart function protection when compared to that achieved with irbesartan in patients with an estimated glomerular filtration rate of 60 to 20 mL/min/1.73 m2. The intention-to-treat analysis of PARADIGM-HF [23] showed that sacubitril combined with valsartan took advantage of delaying renal function decline and protecting heart function when compared with enalapril in patients with diabetes. Novel RAAS inhibitors have promising prospects in the treatment of DKD owing to their advantages.

Notably, article number 71 (239 citations) highlights the expression of angiotensin-converting enzyme 2 (ACE2) in DKD. However, the expression of ACE2 in DKD is controversial [24, 25]. One recent study [26] found that the mRNA level of ACE2 was increased in the proximal tubular epithelial cells of DKD patients. In addition, some studies [27, 28] have shown that RAAS inhibitors upregulate the expression of ACE2. ACE2 is the receptor for SARS-CoV-2 [2931], which is responsible for the COVID-19 outbreak, giving rise to the following two questions: will renal injury be increased in COVID-19 patients with diabetes and will ACEi/ARB treatment have an impact on the renal outcome of COVID-19 patients with diabetes? COVID-19 patients with T2DM have higher acute kidney injury prevalence rates than individuals without diabetes [32], which may be explained by ACE2-mediated viral cytopathic effects [26, 33]. Some studies [34, 35] implied that RAAS inhibitors increased the risk of acute kidney injury, suggesting more concern about renal outcomes in patients with severe COVID-19 with diabetes who are treated with ACEis/ARBs. More studies are needed to further elucidate the roles of ACE2 and ACEi/ARB-induced ACE2 in DKD.

Strategies for protecting renal function are a permanent topic of DKD. Although RAAS blockade benefits a substantial population of patients, there are still some questions regarding DKD treatment. Unfortunately, the development of novel drugs based on new mechanisms in DKD treatment has been uneven. Fortunately, two novel types of drugs, SGLT-2 inhibitors and GLP-1 receptor agonists, may represent the future of DKD treatment methods. CREDENCE [36] and the following analysis of CREDENCE [37, 38] revealed that canagliflozin reduces the risk of renal failure and cardiovascular events and decreases anaemia-associated outcomes in T2DM patients with kidney disease. DAPA-CKD [39] showed that dapagliflozin, another SGLT-2 inhibitor, reduces kidney and cardiovascular events in chronic kidney disease patients with and without T2DM. Intriguingly, the latest publication among the top 100 most cited articles is a clinical trial of another new drug, liraglutide, a GLP-1 receptor agonists (article number 32), which has been proven to reduce the occurrence of persistent macroalbuminuria. Encouragingly, the two novel types of agents showed more advantages for kidney function protection than dipeptidyl peptidase-4 inhibitor or sulfonylureas [40] and were recommended by the Kidney Disease: Improving Global Outcomes guidelines guidelines [1] and consensus report by American Diabetes Association and the European Association for the study of diabetes [41, 42] in T2DM patients with chronic kidney disease. To develop more novel targets of DKD treatment, further comprehension of the mechanisms of DKD is indispensable.

Technological innovation promotes scientific development. High-throughput technology and multiomics studies help researchers further understand the pathogenesis and prognosis of DKD (article number 65, 69). The application of single-cell and single-nucleus transcriptomics [4345] identifies novel types of cells, describes cell-to-cell crosstalk, discovers further mechanisms and provides new insight into renal diseases. Further understanding the disease will help researchers find potential biomarkers and novel therapeutic strategies in the future.

Moreover, artificial intelligence is widely applied in the analysis of clinical indicators, digital imaging data, and digital pathological data in renal diseases [46, 47] and improves the diagnosis and prognostication of DKD [4850]. High-performance models built by artificial intelligence may contribute to more effective and accurate interventions in the clinical practice of DKD.

Conclusion

In conclusion, this article focused on the top 100 most cited articles on the subject of DKD. By reviewing the popular studies over several decades, researchers can better understand the evolution of DKD research. The important roles of ACEis and ARBs were once again emphasized in this study, and the prospects of SGLT-2 inhibitors and GLP-1 receptor activators are promising. Influential studies deepen the understanding of DKD and provide evidence for novel biomarkers and potential therapeutic strategies. This study helps readers quickly understand the important studies on DKD research, the distribution of popular topics and the evolution of the subject, thus providing a guide for research direction, international collaboration and clinical practice to better server patients.

Supplementary Information

12882_2021_2369_MOESM1_ESM.pdf (3MB, pdf)

Additional file 1: Figure S1. The top 10 relevant authors who contributed to the top 100 most cited articles. The dot size represents the author’s score, and the dot colour reflets the number of articles. Black represents one article, blue represents two articles, yellow represents three articles, and orange represents four articles. The authors’ contributions are exhibited as a bubble plot.

12882_2021_2369_MOESM2_ESM.pdf (2.2MB, pdf)

Additional file 2: Figure S2. The evolution of topics in DKD research. The distributions of the topics RAAS (A), OS (B), AGEs and RAGE (C), miR (D), podocyte (E), inflammation (F), metabolism (G), TF (H), SGLT-2 and GLP-1 (I), VEGF (J), T1DM (K), CTCF (L), TGF-β (M), fibroblast (N) and BP (O) in different time periods reflect the evolution of topics in DKD research.

12882_2021_2369_MOESM3_ESM.docx (16.2KB, docx)

Additional file 3: Table S1. Recent reviews on the subject of DKD.

Acknowledgements

Not applicable.

Abbreviations

DM

Diabetic mellitus

DKD

Diabetic kidney disease

CKD

Chronic kidney disease

OS

Oxidative stress

CT

Citation time

ACT

Average citation time

EG

Experimental studies

CS

Clinical studies

ES

Epidemiological studies

PP

Pathological and pathophysiological studies

RAAS

Renin-angiotensin-aldosterone system

ROS

Reactive oxygen species

AGEs

Advanced glycation end products

RAGE

Receptor for advanced glycation end products

T1DM

Type 1 diabetic mellitus

SGLT-2

Sodium-glucose cotransporter 2

GLP-1

Glucagon-like peptide 1

VEGF

Vascular endothelial growth factor

TGF

Transforming growth factor

CTGF

Connective tissue growth factor

miR

MicroRNA

TF

Transcriptional factor

BP

Blood pressure

T2DM

Type 2 diabetic mellitus

ACEi

Angiotensin-converting enzyme inhibitors

ARB

Angiotensin-II receptor blockers

UACR

Urine albumin-to-creatinine ratio

ACE2

Angiotensin-converting enzyme 2

Authors’ contributions

Yi Wei designed the study and drafted the paper, and Zongpei Jiang revised the paper.

Funding

Not applicable.

Availability of data and materials

All data generated or analysed during this study are included in this published article [and its supplementary information files].

Declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher’s Note

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

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

12882_2021_2369_MOESM1_ESM.pdf (3MB, pdf)

Additional file 1: Figure S1. The top 10 relevant authors who contributed to the top 100 most cited articles. The dot size represents the author’s score, and the dot colour reflets the number of articles. Black represents one article, blue represents two articles, yellow represents three articles, and orange represents four articles. The authors’ contributions are exhibited as a bubble plot.

12882_2021_2369_MOESM2_ESM.pdf (2.2MB, pdf)

Additional file 2: Figure S2. The evolution of topics in DKD research. The distributions of the topics RAAS (A), OS (B), AGEs and RAGE (C), miR (D), podocyte (E), inflammation (F), metabolism (G), TF (H), SGLT-2 and GLP-1 (I), VEGF (J), T1DM (K), CTCF (L), TGF-β (M), fibroblast (N) and BP (O) in different time periods reflect the evolution of topics in DKD research.

12882_2021_2369_MOESM3_ESM.docx (16.2KB, docx)

Additional file 3: Table S1. Recent reviews on the subject of DKD.

Data Availability Statement

All data generated or analysed during this study are included in this published article [and its supplementary information files].


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