Literature DB >> 33926393

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

Yi Wei1, Zongpei Jiang2.   

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.

Entities:  

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

Mesh:

Year:  2021        PMID: 33926393      PMCID: PMC8084262          DOI: 10.1186/s12882-021-02369-z

Source DB:  PubMed          Journal:  BMC Nephrol        ISSN: 1471-2369            Impact factor:   2.388


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 [3-5], oxidative stress (OS) [6-8], 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 [14-16]. 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

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

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

JournalNumber of articles
J Am Soc Nephrol21
Diabetes16
Kidney Int10
N Engl J Med8
J Clin Invest6
JAMA4
J Biol Chem4
Am J Physiol Renal Physiol3
Hypertension3
Nat Med3
Proc Natl Acad Sci U S A3
Am J Pathol2
Diabetes Care2
FASEB J2
Nephrol Dial Transplant2
Am J Kidney Dis1
Am J Nephrol1
Ann Intern Med1
Arch Intern Med1
Biochim Biophys Acta1
Cell Metab1
Circulation1
Diabetes Obes Metab1
Diabetologia1
Lancet1
Nat Cell Biol1
List of the relevant scientific journals 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

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

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

CountryNumber of articlesSingle-county publicationMultiple-country publication
USA472423
Japan1486
Australia1165
Germany514
Netherland505
Denmark404
UK321
Canada202
Finland202
Belgium101
Chile101
China110
India110
Ireland101
Italy101
Korea101
List of the relevant countries analysed according to the corresponding author

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

SubcategoryDescriptionArticle NumberCT (total)% total

Experimental studies (EG)

n = 65

Studies on mechanisms, metabolomics, transcriptome, genetics, potential molecular biomarkers5, 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, 10019,28049.62

Clinical studies (CS)

n = 26

Clinical trials, observational studies1–3, 7–10, 14, 15, 17, 18, 27, 32, 35, 36, 41, 44, 50, 52, 62, 64, 66, 75, 80, 86, 9316,14441.55

Epidemiological studies (ES)

n = 7

Studies on prevalence, risk factors, outcomes4, 16, 26, 46, 58, 76, 9826036.70

Pathological and pathophysiological studies (PP)

n = 2

Studies on pathology and pathophysiology11, 478282.13
Subcategories of the top 100 most cited articles Experimental studies (EG) n = 65 Clinical studies (CS) n = 26 Epidemiological studies (ES) n = 7 Pathological and pathophysiological studies (PP) n = 2 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

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

NumberYearAuthorTitleJournalCT (ACT)SubcategoryTopic
12001Brenner BM, et alEffects of losartan on renal and cardiovascular outcomes in patients with type 2 diabetes and nephropathyN Engl J Med4699 (234.95)CSRAAS
22001Parving HH, et alThe effect of irbesartan on the development of diabetic nephropathy in patients with type 2 diabetesN Engl J Med2229 (111.45)CSRAAS
32008Parving HH, et alAliskiren combined with losartan in type 2 diabetes and nephropathyN Engl J Med769 (59.15)CSRAAS
42003Steffes MW, et alSustained effect of intensive treatment of type 1 diabetes mellitus on development and progression of diabetic nephropathy - the Epidemiology of Diabetes Interventions and Complications (EDIC) studyJAMA751 (41.72)ESUndefined
52006Susztak K, et alGlucose-induced reactive oxygen species cause apoptosis of podocytes and podocyte depletion at the onset of diabetic nephropathyDiabetes731 (48.73)MGOS
62000Ziyadeh FN, et alLong-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 miceProc Natl Acad Sci U S A707 (33.67)MGTGF-β
72004de Zeeuw D, et alProteinuria, a target for renoprotection in patients with type 2 diabetic nephropathy: lessons from RENAALKidney Int676 (39.76)CSRAAS
82002Schrier RW, et alEffects of aggressive blood pressure control in normotensive type 2 diabetic patients on albuminuria, retinopathy and strokesKidney Int571 (30.05)CSBP
92013Fried LF, et al.Combined angiotensin inhibition for the treatment of diabetic nephropathyKidney Int552 (69.00)CSRAAS
102004de Zeeuw D, et alAlbuminuria, a therapeutic target for cardiovascular protection in type 2 diabetic patients with nephropathyCirculation544 (32.00)CSRAAS
112010Tervaert TWC, et alPathologic classification of diabetic nephropathyJ Am Soc Nephrol539 (49.00)PPUndefined
122008Zeisberg EM, et alFibroblasts in kidney fibrosis emerge via endothelial-to-mesenchymal transitionJ Am Soc Nephrol533 (40.92)MGFibroblast
132007Kato M, et alMicroRNA-192 in diabetic kidney glomeruli and its function in TGF-beta-induced collagen expression via inhibition of E-box repressorsProc Natl Acad Sci U S A518 (36.93)MGMiR
142003Perkins BA, et alRegression of microalbuminuria in type 1 diabetesN Engl J Med497 (27.61)CST1DM
152011Haller H, et alOlmesartan for the delay or prevention of microalbuminuria in type 2 diabetesN Engl J Med494 (49.40)CSRAAS
162011de Boer IH, et alTemporal trends in the prevalence of diabetic kidney disease in the United StatesJAMA493 (49.30)ESUndefined
172010de Zeeuw D, et alSelective vitamin D receptor activation with paricalcitol for reduction of albuminuria in patients with type 2 diabetes (VITAL study): a randomised controlled trialLancet482 (43.82)CSRAAS
182013de Zeeuw D, et alBardoxolone methyl in type 2 diabetes and stage 4 chronic kidney diseaseN Engl J Med476 (59.50)CSOS
192003Wendt TM, et alRAGE drives the development of glomerulosclerosis and implicates podocyte activation in the pathogenesis of diabetic nephropathyAm J Pathol438 (24.33)MGAGEs/RAGE
202009Kato M, Y, et alTGF-beta activates Akt kinase through a microRNA-dependent amplifying circuit targeting PTENNat Cell Biol427 (35.58)MGMiR
212001Yamamoto Y, et alDevelopment and prevention of advanced diabetic nephropathy in RAGE-overexpressing miceJ Clin Invest390 (19.50)MGAGEs/RAGE
222005Gorin Y, et alNox4 NAD(P)H oxidase mediates hypertrophy and fibronectin expression in the diabetic kidneyJ Biol Chem382 (23.88)MGOS
232001De Vriese, A, et alAntibodies against vascular endothelial growth factor improve early renal dysfunction in experimental diabetesJ Am Soc Nephrol361 (18.05)MGVEGF
242000Koya D, et alAmelioration of accelerated diabetic mesangial expansion by treatment with a PKC beta inhibitor in diabetic db/db mice, a rodent model for type 2 diabetesFASEB J356 (16.95)MGOS
252004Ichihara A, et alInhibition of diabetic nephropathy by a decoy peptide corresponding to the “handle” region for nonproteolytic activation of proreninJ Clin Invest352 (20.71)MGRAAS
262009Groop PH, et alThe presence and severity of chronic kidney disease predicts all-cause mortality in type 1 diabetesDiabetes348 (29.00)ESUndefined
272003Keane WF, et alThe risk of developing end-stage renal disease in patients with type 2 diabetes and nephropathy: the RENAAL StudyKidney Int345 (19.17)CSRAAS
281999Cooper ME, et alIncreased renal expression of vascular endothelial growth factor (VEGF) and its receptor VEGFR-2 in experimental diabetesDiabetes345 (15.68)MGVEGF
292015Kang HM, et alDefective fatty acid oxidation in renal tubular epithelial cells has a key role in kidney fibrosis developmentNat Med344 (57.33)MGMetabolism
302000Tanji N, et alExpression of advanced glycation end products and their cellular receptor RAGE in diabetic nephropathy and nondiabetic renal diseaseJ Am Soc Nephrol343 (16.33)MGAGEs/RAGE
312004Chow F, et alMacrophages in mouse type 2 diabetic nephropathy: Correlation with diabetic state and progressive renal injuryKidney Int341 (20.06)MGInflammation
322017Mann JFE, et alLiraglutide and renal outcomes in type 2 diabetesN Engl J Med337 (84.00)CSGLP-1
332011Inoki K, et almTORC1 activation in podocytes is a critical step in the development of diabetic nephropathy in miceJ Clin Invest335 (33.50)MGPodocyte
342012Wang B, et alSuppression of microRNA-29 expression by TGF-beta 1 promotes collagen expression and renal fibrosisJ Am Soc Nephrol329 (36.44)MGMiR
352003Sato A, et alEffectiveness of aldosterone blockade in patients with diabetic nephropathyHypertension326 (18.11)CSRAAS
362013Yale JF, et alEfficacy and safety of canagliflozin in subjects with type 2 diabetes and chronic kidney diseaseDiabetes Obes Metab324 (40.38)CSSGLT-2
372011Godel M, et alRole of mTOR in podocyte function and diabetic nephropathy in humans and miceJ Clin Invest316 (31.60)MGPodocyte
382001Oldfield MD, et alAdvanced glycation end products cause epithelial-myofibroblast transdifferentiation via the receptor for advanced glycation end products (RAGE)J Clin Invest316 (15.80)MGAGEs/RAGE
392002Onozato ML, et alOxidative stress and nitric oxide synthase in rat diabetic nephropathy: effects of ACEI and ARBKidney Int314 (16.53)MGRAAS
401999Murphy M, et alSuppression subtractive hybridization identifies high glucose levels as a stimulus for expression of connective tissue growth factor and other genes in human mesangial cellsJ Biol Chem313 (14.23)MGCTGF
412003Berl T, et alCardiovascular outcomes in the Irbesartan Diabetic Nephropathy Trial of patients with type 2 diabetes and overt nephropathyAnn Intern Med306 (17.00)CSRAAS
422000Riser BL, et alRegulation of connective tissue growth factor activity in cultured rat mesangial cells and its expression in experimental diabetic glomerulosclerosisJ Am Soc Nephrol305 (14.52)MGCTGF
432006Chow FY, et alMonocyte chemoattractant protein-1 promotes the development of diabetic renal injury in streptozotocin-treated miceKidney Int304 (20.27)MGInflammation
442004Bolton WK, et alRandomized trial of an inhibitor of formation of advanced glycation end products in diabetic nephropathyAm J Nephrol302 (17.76)CSAGEs/RAGE
452011Zheng HT, et alTherapeutic potential of Nrf2 activators in streptozotocin-induced diabetic nephropathyDiabetes302 (30.10)MGOS
462006Parving HH, et alPrevalence and risk factors for microalbuminuria in a referred cohort of type II diabetic patients: a global perspectiveKidney Int299 (19.93)ESUndefined
472001Steffes MW, et alGlomerular cell number in normal subjects and in type 1 diabetic patientsKidney Int289 (14.45)PPUndefined
482008Wang Q, et alMicroRNA-377 is up-regulated and can lead to increased fibronectin production in diabetic nephropathyFASEB J288 (22.15)MGMiR
492006Schmid H, et alModular activation of nuclear factor-kappa B transcriptional programs in human diabetic nephropathyDiabetes279 (18.60)MGTF
502010Mann JFE, et alAvosentan for overt diabetic nephropathyJ Am Soc Nephrol277 (25.18)CSRAAS
512002Yamagishi S, et alAdvanced glycation end product-induced apoptosis and overexpression of vascular endothelial growth factor and monocyte chemoattractant protein-1 in human-cultured mesangial cellsJ Biol Chem275 (14.47)MGAGEs/RAGE
522003Bakris GL, et alEffects of blood pressure level on progression of diabetic nephropathy - results from the RENAAL studyArch Intern Med274 (15.22)CSRAAS
532007Isermann B, et alActivated protein C protects against diabetic nephropathy by inhibiting endothelial and podocyte apoptosisNat Med266 (19.00)MGInflammation
542008Niranjan T, et alThe Notch pathway in podocytes plays a role in the development of glomerular diseaseNat Med264 (20.23)MGPodocyte
552007Nakagawa T, et alDiabetic endothelial nitric oxide synthase knockout mice develop advanced diabetic nephropathyJ Am Soc Nephrol262 (18.71)MGOS
562003Babaei-Jadidi R, et alPrevention of incipient diabetic nephropathy by high-dose thiamine and benfotiamineDiabetes262 (14.56)MGMetabolism
572010Krupa A, et alLoss of MicroRNA-192 promotes fibrogenesis in diabetic nephropathyJ Am Soc Nephrol259 (23.55)MGMiR
582005Thorn LM, et alMetabolic syndrome in type 1 diabetes - association with diabetic nephropathy and glycemic control (the FinnDiane study)Diabetes Care259 (16.19)ESUndefined
592003Doublier S, et alNephrin expression is reduced in human diabetic nephropathy - evidence for a distinct role for glycated albumin and angiotensin IIDiabetes259 (14.39)MGPodocyte
602009Coughlan MT, et alRAGE-induced cytosolic ROS promote mitochondrial superoxide generation in diabetesJ Am Soc Nephrol258 (21.50)MGAGEs/RAGE
612004Mezzano S, et alNF-kappa B activation and overexpression of regulated genes in human diabetic nephropathyNephrol Dial Transplant256 (15.06)MGTF
622005Atkins RC, et alProteinuria reduction and progression to renal failure in patients with type 2 diabetes mellitus and overt nephropathyAm J Kidney Dis252 (15.75)CSRAAS
632005Satoh M, et alNAD(P)H oxidase and uncoupled nitric oxide synthase are major sources of glomerular superoxide in rats with experimental diabetic nephropathyAm J Physiol Renal Physiol251 (15.69)MGOS
642005Pohl MA, et alIndependent and additive impact of blood pressure control and angiotensin II receptor blockade on renal outcomes in the Irbesartan Diabetic Nephropathy Trial: clinical implications and limitationsJ Am Soc Nephrol248 (15.50)CSRAAS
652013Sharma K, et alMetabolomics reveals signature of mitochondrial dysfunction in diabetic kidney diseaseJ Am Soc Nephrol247 (30.88)MGMetabolism
662007Perkins BA, et alMicroalbuminuria and the risk for early progressive renal function decline in type 1 diabetesJ Am Soc Nephrol247 (17.64)CST1DM
672010Sedeek M, et alCritical role of Nox4-based NADPH oxidase in glucose-induced oxidative stress in the kidney: implications in type 2 diabetic nephropathyAm J Physiol Renal Physiol246 (22.36)MGOS
682000Wada T, et alUp-regulation of monocyte chemoattractant protein-1 in tubulointerstitial lesions of human diabetic nephropathyKidney Int246 (11.71)MGInflammation
692011Woroniecka KI, et alTranscriptome analysis of human diabetic kidney diseaseDiabetes242 (24.20)MGTF
702003Kiritoshi S, et alReactive oxygen species from mitochondria induce cyclooxygenase-2 gene expression in human mesangial cells - potential role in diabetic nephropathyDiabetes240 (13.33)MGOS
712003Tikellis C, et alCharacterization of renal angiotensin-converting enzyme 2 in diabetic nephropathyHypertension239 (13.28)MGRAAS
722012Wang WJ, et alMitochondrial fission triggered by hyperglycemia Is mediated by ROCK1 activation in podocytes and endothelial cellsCell Metab238 (26.44)MGOS
732010Jiang T, et alThe protective role of Nrf2 in streptozotocin-induced diabetic nephropathyDiabetes238 (21.55)MGOS
742002Flyvbjerg A, et alAmelioration of long-term renal changes in obese type 2 diabetic mice by a neutralizing vascular endothelial growth factor antibodyDiabetes237 (12.47)MGVEGF
752007Eijkelkamp WBA, et alAlbuminuria 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) trialJ Am Soc Nephrol236 (16.86)CSRAAS
762003Young BA, et alRacial differences in diabetic nephropathy, cardiovascular disease, and mortality in a national population of veteransDiabetes Care236 (13.11)ESUndefined
772008Li YJ, et alEpithelial-to-mesenchymal transition is a potential pathway leading to podocyte dysfunction and proteinuriaAm J Pathol235 (18.08)MGPodocyte
782011Wang B, et al.MiR-200a prevents renal fibrogenesis through repression of TGF-beta 2 expressionDiabetes234 (23.40)MGMiR
792012Niewczas MA, et alCirculating TNF receptors 1 and 2 predict ESRD in type 2 diabetesJ Am Soc Nephrol233 (25.89)MGInflammation
802009Mehdi UF, et alAddition of angiotensin receptor blockade or mineralocorticoid antagonism to maximal angiotensin-converting enzyme inhibition in diabetic nephropathyJ Am Soc Nephrol232 (19.33)CSRAAS
812008Thallas-Bonke V, et alInhibition of NADPH oxidase prevents advanced glycation end product-mediated damage in diabetic nephropathy through a protein kinase C-alpha-dependent pathwayDiabetes232 (17.85)MGOS
822005Jiang T, et alDiet-induced obesity in C57BL/6 J mice causes increased renal lipid accumulation and glomerulosclerosis via a sterol regulatory element-binding protein-1c-dependent pathwayJ Biol Chem232 (14.50)MGMetabolism
832012Putta S, et alInhibiting microRNA-192 ameliorates renal fibrosis in diabetic nephropathyJ Am Soc Nephrol231 (25.67)MGMiR
842008Feldman DL, et alEffects of aliskiren on blood pressure, albuminuria, and (pro)renin receptor expression in diabetic TG(mRen-2)27 ratsHypertension231 (17.77)MGRAAS
852006Zhao HJ, et alEndothelial nitric oxide synthase deficiency produces accelerated nephropathy in diabetic miceJ Am Soc Nephrol231 (15.40)MGOS
862005Berl T, et alImpact of achieved blood pressure on cardiovascular outcomes in the irbesartan diabetic nephropathy trialJ Am Soc Nephrol228 (14.25)CSRAAS
872000Nakamura T, et alUrinary excretion of podocytes in patients with diabetic nephropathyNephrol Dial Transplant228 (10.86)MGPodocyte
882011Palsamy P, et alResveratrol protects diabetic kidney by attenuating hyperglycemia-mediated oxidative stress and renal inflammatory cytokines via Nrf2-Keap1 signalingBiochim Biophys Acta227 (22.70)MGOS
892013Dugan LL, et alAMPK dysregulation promotes diabetes-related reduction of superoxide and mitochondrial functionJ Clin Invest226 (28.25)MGOS
902003Okada S, et alIntercellular adhesion molecule-1-deficient mice are resistant against renal injury after induction of diabetesDiabetes226 (12.56)MGInflammation
912005Asaba K, et alEffects of NADPH oxidase inhibitor in diabetic nephropathyKidney Int225 (14.06)MGOS
922002Forbes JM, et alReduction of the accumulation of advanced glycation end products by ACE inhibition in experimental diabetic nephropathyDiabetes223 (11.74)MGRAAS
932015Bakris GL, et alEffect of finerenone on albuminuria in patients with diabetic nephropathy: a randomized clinical trialJAMA221 (36.83)CSRAAS
942002Ha HJ, et alRole of high glucose-induced nuclear factor-kappa B activation in monocyte chemoattractant protein-1 expression by mesangial cellsJ Am Soc Nephrol221 (11.63)MGTF
952006Ichihara A, et alProrenin receptor blockade inhibits development of glomerulosclerosis in diabetic angiotensin II type 1a receptor-deficient miceJ Am Soc Nephrol220 (14.67)MGRAAS
962014Vallon V, et alSGLT2 inhibitor empagliflozin reduces renal growth and albuminuria in proportion to hyperglycemia and prevents glomerular hyperfiltration in diabetic Akita miceAm J Physiol Renal Physiol219 (31.29)MGSGLT-2
972008Zhang Z, et alCombination therapy with AT1 blocker and vitamin D analog markedly ameliorates diabetic nephropathy: blockade of compensatory renin increaseProc Natl Acad Sci U S A218 (16.77)MGRAAS
982016Afkarian M, et alClinical manifestations of kidney disease among US adults with diabetes, 1988–2014JAMA217 (43.40)ESUndefined
992013Zhong X, et alMiR-21 is a key therapeutic target for renal injury in a mouse model of type 2 diabetesDiabetologia217 (27.13)MGMiR
1002011Kitada M, et alResveratrol improves oxidative stress and protects against diabetic nephropathy through normalization of Mn-SOD dysfunction in AMPK/SIRT1-independent pathwayDiabetes217 (27.13)MGOS
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 List of the top 100 most cited articles

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

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

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

InformationTopicPatientsMain results

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

ACT: 234.95

RAAST2DM patients with nephropathyLosartan 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

RAASHypertensive patients with T2DM and microalbuminuriaIrbesartan 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

RAASHypertensive patients with T2DM and nephropathyAliskiren 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

RAAST2DM patients with nephropathyBaseline 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

BPNormotensive T2DM patientsOver 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

RAAST2DM 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

RAAST2DM patients with nephropathyBaseline 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

T1DMT1DM patients with microalbuminuriaOver 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

RAAST2DM patientsOver 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

RAAST2DM patients with albuminuria and ACEi or ARB treatmentAddition 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

OST2DM 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

RAAST2DM patients with nephropathyA 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-1T2DM patients with high risk for cardiovascular diseaseOver 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

RAAST2DM patients with early nephropathy and ACEi treatmentAldosterone 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-2T2DM patients with stage 3 chronic kidney diseaseCanagliflozin 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

RAAST2DM patients with overt nephropathyIrbesartan 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/RAGET1DM patients with nephropathy and retinopathyPimagedine did not significantly influence the progression of overt nephropathy.

Article number 50: Avosentan for overt diabetic nephropathy

ACT: 25.18

OST2DM 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

RAAST2DM patients with nephropathy and hypertensionBaseline 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

RAAST2DM patients with overt nephropathyEach 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

RAASHypertensive 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

T1DMT1DM patientsEarly 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

RAAST2DM patients with hypertensionSystolic 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

RAASHypertensive T2DM patients with albuminuriaCompared 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

RAAST2DM patients with overt nephropathyProgressively 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

RAASDiabetic patients with high or very high albuminuria and ACEi or ARB treatmentAddition of finerenone to ACEi or ARB dose-dependently reduced UACR and was well tolerated.
List of the clinical studies among the top 100 most cited articles Article number 1: Effects of losartan on renal and cardiovascular outcomes in patients with type 2 diabetes and nephropathy ACT: 234.95 Article number 2: The effect of irbesartan on the development of diabetic nephropathy in patients with type 2 diabetes ACT: 111.45 Article number 3: Aliskiren combined with losartan in type 2 diabetes and nephropathy ACT: 59.15 Article number 7: Proteinuria, a target for renoprotection in patients with type 2 diabetic nephropathy: lessons from RENAAL ACT: 39.76 Article number 8: Effects of aggressive blood pressure control in normotensive type 2 diabetic patients on albuminuria, retinopathy and strokes ACT: 30.05 Article number 9: Combined angiotensin inhibition for the treatment of diabetic nephropathy ACT: 69.00 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 Article number 14: Regression of microalbuminuria in type 1 diabetes ACT: 27.61 Article number 15: Olmesartan for the delay or prevention of microalbuminuria in type 2 diabetes ACT: 49.40 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 Article number 18: Bardoxolone methyl in type 2 diabetes and stage 4 chronic kidney disease ACT: 59.50 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 Article number 32: Liraglutide and renal outcomes in type 2 diabetes ACT: 84.00 Article number 35: Effectiveness of aldosterone blockade in patients with diabetic nephropathy ACT: 18.11 Article number 36: Efficacy and safety of canagliflozin in subjects with type 2 diabetes and chronic kidney disease ACT: 40.38 Article number 41: Cardiovascular outcomes in the Irbesartan Diabetic Nephropathy Trial of patients with type 2 diabetes and overt nephropathy ACT: 17.00 Article number 44: Randomized trial of an inhibitor of formation of advanced glycation end products in diabetic nephropathy ACT: 17.76 Article number 50: Avosentan for overt diabetic nephropathy ACT: 25.18 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 Article number 62: Proteinuria reduction and progression to renal failure in patients with type 2 diabetes mellitus and overt nephropathy ACT: 15.75 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 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 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 Article number 80: Addition of angiotensin receptor blockade or mineralocorticoid antagonism to maximal angiotensin-converting enzyme inhibition in diabetic nephropathy ACT: 19.33 Article number 86: Impact of achieved blood pressure on cardiovascular outcomes in the irbesartan diabetic nephropathy trial ACT: 14.25 Article number 93: Effect of finerenone on albuminuria in patients with diabetic nephropathy: a randomized clinical trial ACT: 36.83 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 [12–16, 18–20]. 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 [29-31], 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 [43-45] 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 [48-50]. 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. 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. 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. Additional file 3: Table S1. Recent reviews on the subject of DKD.
  44 in total

Review 1.  11. Microvascular Complications and Foot Care: Standards of Medical Care in Diabetes-2019.

Authors: 
Journal:  Diabetes Care       Date:  2019-01       Impact factor: 19.112

Review 2.  A Bibliometric Analysis of the Landscape of Cancer Rehabilitation Research (1992-2016).

Authors:  Nicole L Stout; Catherine M Alfano; Christopher W Belter; Ralph Nitkin; Alison Cernich; Karen Lohmann Siegel; Leighton Chan
Journal:  J Natl Cancer Inst       Date:  2018-08-01       Impact factor: 13.506

3.  Decreased glomerular and tubular expression of ACE2 in patients with type 2 diabetes and kidney disease.

Authors:  Heather N Reich; Gavin Y Oudit; Josef M Penninger; James W Scholey; Andrew M Herzenberg
Journal:  Kidney Int       Date:  2008-10-01       Impact factor: 10.612

4.  A single-nucleus RNA-sequencing pipeline to decipher the molecular anatomy and pathophysiology of human kidneys.

Authors:  Blue B Lake; Song Chen; Masato Hoshi; Nongluk Plongthongkum; Diane Salamon; Amanda Knoten; Anitha Vijayan; Ramakrishna Venkatesh; Eric H Kim; Derek Gao; Joseph Gaut; Kun Zhang; Sanjay Jain
Journal:  Nat Commun       Date:  2019-06-27       Impact factor: 14.919

5.  Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning.

Authors:  Masaki Makino; Ryo Yoshimoto; Masaki Ono; Toshinari Itoko; Takayuki Katsuki; Akira Koseki; Michiharu Kudo; Kyoichi Haida; Jun Kuroda; Ryosuke Yanagiya; Eiichi Saitoh; Kiyotaka Hoshinaga; Yukio Yuzawa; Atsushi Suzuki
Journal:  Sci Rep       Date:  2019-08-14       Impact factor: 4.379

6.  Angiotensin-converting enzyme 2 (ACE2) as a SARS-CoV-2 receptor: molecular mechanisms and potential therapeutic target.

Authors:  Haibo Zhang; Josef M Penninger; Yimin Li; Nanshan Zhong; Arthur S Slutsky
Journal:  Intensive Care Med       Date:  2020-03-03       Impact factor: 17.440

7.  Association of Blood Glucose Control and Outcomes in Patients with COVID-19 and Pre-existing Type 2 Diabetes.

Authors:  Lihua Zhu; Zhi-Gang She; Xu Cheng; Juan-Juan Qin; Xiao-Jing Zhang; Jingjing Cai; Fang Lei; Haitao Wang; Jing Xie; Wenxin Wang; Haomiao Li; Peng Zhang; Xiaohui Song; Xi Chen; Mei Xiang; Chaozheng Zhang; Liangjie Bai; Da Xiang; Ming-Ming Chen; Yanqiong Liu; Youqin Yan; Mingyu Liu; Weiming Mao; Jinjing Zou; Liming Liu; Guohua Chen; Pengcheng Luo; Bing Xiao; Changjiang Zhang; Zixiong Zhang; Zhigang Lu; Junhai Wang; Haofeng Lu; Xigang Xia; Daihong Wang; Xiaofeng Liao; Gang Peng; Ping Ye; Jun Yang; Yufeng Yuan; Xiaodong Huang; Jiao Guo; Bing-Hong Zhang; Hongliang Li
Journal:  Cell Metab       Date:  2020-05-01       Impact factor: 27.287

Review 8.  Association of ACE inhibitors and Angiotensin type II blockers with ACE2 overexpression in COVID-19 comorbidities: a pathway-based analytical study.

Authors:  R A H U L Parit; S R I D H A R Jayavel
Journal:  Eur J Pharmacol       Date:  2021-01-25       Impact factor: 4.432

Review 9.  Innate immunity in diabetic kidney disease.

Authors:  Sydney C W Tang; Wai Han Yiu
Journal:  Nat Rev Nephrol       Date:  2020-01-15       Impact factor: 28.314

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  2 in total

1.  Bibliometric and Altmetric Analyses of Publication Activity in the Field of Behcet's Disease in 2010-2019.

Authors:  Burhan Fatih Kocyigit; Ahmet Akyol
Journal:  J Korean Med Sci       Date:  2021-08-16       Impact factor: 2.153

Review 2.  Mapping Knowledge Landscapes and Emerging Trends of the Links Between Bone Metabolism and Diabetes Mellitus: A Bibliometric Analysis From 2000 to 2021.

Authors:  Kunming Cheng; Qiang Guo; Weiguang Yang; Yulin Wang; Zaijie Sun; Haiyang Wu
Journal:  Front Public Health       Date:  2022-06-03
  2 in total

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