Literature DB >> 30171178

Clinical Significance of Serum lncRNA Cancer Susceptibility Candidate 2 (CASC2) for Chronic Renal Failure in Patients with Type 2 Diabetes.

Linxia Wang1, Na Su1, Yunna Zhang1, Guangya Wang1.   

Abstract

BACKGROUND LncRNA CASC2 has been established to have critical functions in tumorigenesis but, while its involvement in high-glucose-induced chronic renal failure remains unclear. MATERIAL AND METHODS We included patients with type 2 diabetes combined with chronic renal failure, as well as patients with diabetic retinopathy, diabetic ketoacidosis, diabetic foot infections or diabetic cardiomyopathy, and diabetic patients without any obvious complication, as well as healthy controls. Blood samples and renal tissues were obtained from each participant and expression of lncRNA CASC2 in those tissues was detected by qRT-PCR. Diagnostic value of lncRNA CASC2 for type 2 diabetes combined with chronic renal failure was evaluated by ROC curve analysis. All patients were followed up for 5 years and the occurrence of chronic renal failure was recorded. RESULTS Compared with healthy controls, expression of lncRNA CASC2 in serum and renal tissue was specifically downregulated in patients with type 2 diabetes combined with chronic renal failure but not in type 2 diabetic patients combined with other complications. Follow-up showed that patients with low serum level of lncRNA CASC2 had significantly higher incidence of chronic renal failure. CONCLUSIONS lncRNA CASC2 is a reliable diagnostic biomarker for type 2 diabetes combined with chronic renal failure and low serum level of lncRNA CASC2 predicts the occurrence of chronic renal failure in patients with type 2 diabetes.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 30171178      PMCID: PMC6130171          DOI: 10.12659/MSM.909510

Source DB:  PubMed          Journal:  Med Sci Monit        ISSN: 1234-1010


Background

As a common chronic disease, diabetes is a group of metabolic disorders caused by abnormally high glucose level in blood [1]. Diabetes affects about 10% of people during their lifetime, and the incidence of this disease is expected to significantly increase in the near future due to changes in lifestyle [2,3]. Besides the abnormal physiological conditions caused by diabetes itself, complications of this diseases also seriously affect human health [4]. Diabetes can be divided into 3 major subgroups: type 1, type 2, and gestational diabetes [5]. Progression of chronic renal failure, which is common in patients with type 2 diabetes, may eventually lead to end-stage renal failure or even death in diabetic patients [6]. Although a variety of treatment options, such as antihyperglycemic agents, have been developed to prevent the occurrence or inhibit the progression of chronic renal failure in patients with chronic renal failure, treatment outcomes are usually poor and adverse effects are common [7]. Therefore, the development of novel treatment targets is needed to improve the treatment of this disease. The development of chronic renal failure is a complex process with various internal and external factors involved. Long non-coding RNAs (lncRNAs) are a group of RNA transcripts composed of more than 200 nucleotides and show no protein-coding capacity [8]. It has been reported that certain lncRNAs are involved in development of renal injury caused by high-glucose conditions [9]. CASC2 is a newly discovered lncRNA with pivotal roles in the development of various types of human malignancies, including renal cell carcinoma [10], but its involvement in high-glucose-induced chronic renal failure remains unclear. Therefore, we investigated the correlations between CASC2 expression and chronic renal failure in patients with type 2 diabetes.

Material and Methods

Subjects

A total of 66 patients with type 2 diabetes combined with chronic renal failure were selected in Cangzhou Central Hospital from January 2010 to January 2012. Those patients included 37 males and 29 females, and the age ranged from 31 to 72 years, with an average age of 49.2±7.2 years. Patients with other complications of type 2 diabetes that affect other parts of the body, including diabetic cardiomyopathy, diabetic retinopathy, and diabetic foot infections, as well as healthy controls, were also included. During the same time period we also enrolled 296 patients with type 2 diabetes but without obvious complications in major organs, and those patients were followed up for 5 years to record the occurrence of complications of type 2 diabetes. In addition, 56 healthy controls were included as the same time to serve as a healthy control group. All patients were diagnosed according to the diagnostic standard proposed by the Chinese Medical Association in 2014. Patients complicated with mental disorders or other severe diseases were excluded. There were no significant differences in age, sex, or BMI among groups. All participants provided written informed consent. This study was approved by the Ethics Committee of Cangzhou Central Hospital. See Table 1 for basic information on participants.
Table 1

Basic information of all participants.

GroupsCasesSexMean ageBMI
MaleFemale
T2D+CRF66372949.2±7.222.1±1.1
T2D+DC45252048.1±9.122.3±0.9
T2D+DR33191450.6±7.622.2±1.0
T2D+DFI35191647.3±6.921.9±1.3
Control56302649.5±7.721.9±1.2
T2D29616613047.4±6.122.2±1.0

CRF – chronic renal failure; DC – diabetic cardiomyopathy; DR – diabetic retinopathy; DFR – diabetic foot infections; BMI – body mass index; T2D – type 2 diabetes.

Specimen collection

Renal biopsy tissues were obtained from all participants. Whole blood (15 ml) was obtained from all participants on the day of admission. Blood samples were kept at room temperature for 2 h, followed by centrifugation at 1875 rpm for 25 min to collect serum.

Real-time quantitative PCR

Total RNA extraction from serum and renal biopsy tissues were performed using Trizol reagent (Invitrogen, USA). Renal tissues were ground in liquid nitrogen before the addition of Trizol. RNA samples with a ration of A260/A280 between 1.8 and 2.0 were used to synthesize cDNA through reverse transcription. Sequences of primers used in PCR reactions were: 5′-GCACATTGGACGGTGTTTCC-3′ (forward) and 5′-CCC AGTCCTTCACAGGTCAC-3′ (reverse) for lncRNA-CASC2; GACCTCTATGCCAACACAGT (forward) and AGTACTTGCGCTCAGGAGGA (reverse) for β-actin. PCR reaction conditions were 95°C for 48 s, followed by 40 cycles of 95 °C for 12 s and 60°C for 38 s. The data were processed according to 2−ΔΔCT method, expression of lncRNA-CASC2 was normalized to endougenous control β-actin, and the tissue with the lowest expression level of CASC2 was set as 1.

Statistical analysis

SPSS19.0 (SPSS Inc., USA) was used to perform all statistical analysis. Comparisons of measurement data between 2 groups and among multiple groups were performed using the t test, and one-way analysis of variance and post-hoc Tukey HSD, respectively. Comparisons of count data were performed by chi-square test and p<0.05 was considered to be statistically significant.

Results

Expression of lncRNA CASC2 in renal tissues and serum of different groups of participants

As shown in Figure 1A, no significant differences in the expression of lncRNA CASC2 in renal tissues were found between patients only with type 2 diabetes and healthy controls, indicating that the development of type 2 diabetes may have no significant effects on the expression of lncRNA CASC2 in renal tissue. However, expression levels of lncRNA CASC2 in renal tissues were found to be significantly lower in patients with type 2 diabetes complicated with chronic renal failure (p<0.05), while no significant differences were found between healthy controls and patients with other types of complications of type 2 diabetes (Figure 1A). Similar expressions of lncRNA CASC2 were found in serum of participants in each group (Figure 1B).
Figure 1

Expression of lncRNA CASC2 in renal tissues and serum of different groups of participants. This figure shows the expression of lncRNA CASC2 in renal tissues (A) and serum (B) of different groups of participants. * p<0.05; CRF – chronic renal failure; DC – diabetic cardiomyopathyl; DR – diabetic retinopathy; DFR – diabetic foot infections; BMI – body mass index; T2D – type 2 diabetes.

Diagnostic values of lncRNA CASC2 expression in serum and renal tissues for type 2 diabetes complicated with chronic renal failure

ROC curve analysis was performed. As shown in Figure 2A, the area under the curve (AUC) of CASC2 expression in renal tissue was 0.8646, with 95% confidence interval of 0.8023 to 0.9270 (p<0.0001). As shown in Figure 2B, AUC of CASC2 expression in serum was 0.8467, with 95% confidence interval of 0.7810 to 0.9123 (p<0.0001).
Figure 2

Diagnostic values of lncRNA CASC2 expression in serum and renal tissues for type 2 diabetes complicated with chronic renal failure. This figure shows the ROC curve analysis of the diagnostic values of lncRNA CASC2 expression in renal tissue (A) and serum (B) for type 2 diabetes complicated with chronic renal failure.

Correlation between serum levels of lncRNA CASC2 and basic data of patients with type 2 diabetes complicated with chronic renal failure

Patients with type 2 diabetes complicated with chronic renal failure were divided into a high-level group and a low-level group according to the median serum level of lncRNA CASC2. Correlations between serum lncRNA CASC2 level and clinical data of those patients were subjected to chi-square test. As shown in Table 2, serum levels of lncRNA CASC2 showed no significant correlations with patient age, sex, or smoking and drinking habits. However, serum lncRNA CASC2 level was significantly correlated with the duration of disease.
Table 2

Correlation between serum levels of lncRNA CASC2 and basic data of patients with type 2 diabetes complicated with chronic renal failure.

ItemsGroupsCasesHigh expressionLow expressionχ2p Value
SexMale3715223.010.08
Female291811
Age>50 (years)3214180.970.32
<50 (years)341915
DrinkingYes3114170.260.61
No351916
SmokingYes3822162.210.14
No281117
Duration of disease>10 years261886.350.012
<10 years401525

Follow-up data

As mentioned in the Subjects section of this report, a total of 296 patients with type 2 diabetes but without obvious complications in major organs were also included; these patients were followed up for 5 years and the occurrence of complications of type 2 diabetes during follow-up was recorded. Those patients were divided into a high-level group and a low-level group according to the median serum level of lncRNA CASC2 on the day of admission. As showed in Figure 3 and Table 3, no significant differences in the occurrence of diabetic cardiomyopathy (Figure 3A), diabetic retinopathy (Figure 3B), and diabetic foot infections (Figure 3C) were found between the 2 groups, while incidence of chronic renal failure was significantly higher in the low-expression group than in the high-expression group (p<0.05).
Figure 3

(A–D) Occurrences of type 2 diabetes-related complications. This figure shows the number of patients with type 2 diabetes affected by diabetic cardiomyopathy (DC), diabetic retinopathy (DR), diabetic foot infections (DFR), and chronic renal failure (CRF) during 5-year follow-up.

Table 3

Correlation between the incidence of diabetes-related complications and serum levels of lncRNA CASC2.

ItemsGroupsCasesHigh expressionLow expressionχ2p Value
DCYes11558570.0140.91
No1819091
DRYes10853550.0580.81
No1889593
DFIYes5830280.0860.77
No238118120
CRFYes6223395.2230.022
No234125109

Discussion

Previous studies showed that several lncRNAs are involved in the development of renal injury caused by high blood glucose levels. Expression of lncRNA MIAT is upregulated in renal tubular epithelial injury caused by high glucose levels, and increased lncRNA MIAT expression level is positively correlated with the severity of disease [12]. In another study, lncRNA MALAT1 was found to be downregulated in diabetic nephropathy and caused translocation of β-catenin to the nuclei and the enhanced expression of serine/arginine splicing factor 1, which in turn led to aggregation of disease [13]. CASC2 has pivotal roles in the development of various types of human malignancies, including renal cell carcinoma [10]. In the present study, expression of CASC2 in renal tissues and serum was found to be significantly lower in diabetic patients (type 2) complicated with chronic renal function but not in diabetic patients affected by other complications or in patients without obvious complications. These data suggest that downregulation of CASC2 is very likely to be involved in the pathogenesis of chronic renal failure in patients with type 2 diabetes. Our ROC curve analysis showed that expression levels of CASC2 in renal tissues and serum are effective in diagnosing type 2 diabetes complicated with chronic renal failure. However, expression of lncRNA may be affected by various factors such as alcohol and tobacco consumption [14,15]. In addition, transcription profiles of lncRNAs may change with age [16] and are vary by sex [17], which in turn reduces the reliability of the use of certain lncRNAs as biomarkers for human diseases. We found that serum levels of lncRNA CASC2 were significantly correlated with course of disease. However, serum levels of lncRNA were not significantly correlated with age, sex, or smoking and drinking habits, indicating the high reliability of serum lncRNA CASC2 as a diagnostic marker for chronic renal failure induced by high glucose. Our long-term (5 years) and large-sample-size (n=296) follow-up study showed that diabetic patients (type 2) with low serum level of lncRNA CASC2 were more likely to have chronic renal failure. Therefore, CASC2 expression may serve as a target for the treatment and prevention of this disease. However, the mechanism underlying the role of lncRNA CASC2 in high-glucose-induced chronic renal failure remains unclear.

Conclusions

Our study found that lncRNA CASC2 is downregulated in serum and renal tissue of patients with type 2 diabetes combined with chronic renal failure but not in patients combined with other diabetes-related complications. CASC2 expression is a promising diagnostic biomarker for high-glucose-induced chronic renal failure. Follow-up showed that patients with low serum levels of lncRNA CASC2 had significantly higher incidence of chronic renal failure. Therefore, we conclude that lncRNA CASC2 is a reliable diagnostic biomarker for type 2 diabetes combined with chronic renal failure, and low serum level of lncRNA CASC2 predicts the occurrence of chronic renal failure in patients with type 2 diabetes.
  13 in total

Review 1.  Unique features of long non-coding RNA biogenesis and function.

Authors:  Jeffrey J Quinn; Howard Y Chang
Journal:  Nat Rev Genet       Date:  2016-01       Impact factor: 53.242

2.  Screening for kidney disease in adults with diabetes.

Authors:  Holly Kramer; Mark E Molitch
Journal:  Diabetes Care       Date:  2005-07       Impact factor: 19.112

3.  The mitochondrial lncRNA ASncmtRNA-2 is induced in aging and replicative senescence in Endothelial Cells.

Authors:  Valentina Bianchessi; Ileana Badi; Matteo Bertolotti; Patrizia Nigro; Yuri D'Alessandra; Maurizio C Capogrossi; Marco Zanobini; Giulio Pompilio; Angela Raucci; Andrea Lauri
Journal:  J Mol Cell Cardiol       Date:  2015-01-29       Impact factor: 5.000

Review 4.  Reactive oxygen species amplify glucose signalling in renal cells cultured under high glucose and in diabetic kidney.

Authors:  Hunjoo Ha; Hi Bahl Lee
Journal:  Nephrology (Carlton)       Date:  2005-10       Impact factor: 2.506

5.  Rates of complications and mortality in older patients with diabetes mellitus: the diabetes and aging study.

Authors:  Elbert S Huang; Neda Laiteerapong; Jennifer Y Liu; Priya M John; Howard H Moffet; Andrew J Karter
Journal:  JAMA Intern Med       Date:  2014-02-01       Impact factor: 21.873

6.  Projection of the year 2050 burden of diabetes in the US adult population: dynamic modeling of incidence, mortality, and prediabetes prevalence.

Authors:  James P Boyle; Theodore J Thompson; Edward W Gregg; Lawrence E Barker; David F Williamson
Journal:  Popul Health Metr       Date:  2010-10-22

Review 7.  Noninsulin glucose-lowering agents for the treatment of patients on dialysis.

Authors:  Colleen Flynn; George L Bakris
Journal:  Nat Rev Nephrol       Date:  2013-01-29       Impact factor: 28.314

8.  Downregulation of lncRNA CASC2 by microRNA-21 increases the proliferation and migration of renal cell carcinoma cells.

Authors:  Yunjie Cao; Renfang Xu; Xianlin Xu; Yaojun Zhou; Li Cui; Xiaozhou He
Journal:  Mol Med Rep       Date:  2016-05-24       Impact factor: 2.952

9.  Long non-coding MIAT mediates high glucose-induced renal tubular epithelial injury.

Authors:  Ling Zhou; De-yu Xu; Wen-gang Sha; Lei Shen; Guo-yuan Lu; Xia Yin
Journal:  Biochem Biophys Res Commun       Date:  2015-11-10       Impact factor: 3.575

10.  Projections of global mortality and burden of disease from 2002 to 2030.

Authors:  Colin D Mathers; Dejan Loncar
Journal:  PLoS Med       Date:  2006-11       Impact factor: 11.069

View more
  10 in total

Review 1.  Dysregulated expression of long noncoding RNAs serves as diagnostic biomarkers of type 2 diabetes mellitus.

Authors:  Weiyue Zhang; Juan Zheng; Xiang Hu; Lulu Chen
Journal:  Endocrine       Date:  2019-07-25       Impact factor: 3.633

Review 2.  Long non-coding RNAs: a valuable biomarker for metabolic syndrome.

Authors:  Mohammad Rashidmayvan; Reza Sahebi; Majid Ghayour-Mobarhan
Journal:  Mol Genet Genomics       Date:  2022-07-19       Impact factor: 2.980

3.  Long non-coding RNA cancer susceptibility candidate 2 (CASC2) alleviates the high glucose-induced injury of CIHP-1 cells via regulating miR-9-5p/PPARγ axis in diabetes nephropathy.

Authors:  Feng Li; Bo Dai; Xiquan Ni
Journal:  Diabetol Metab Syndr       Date:  2020-08-06       Impact factor: 3.320

Review 4.  Long Non-Coding RNAs (lncRNAs) in Cardiovascular Disease Complication of Type 2 Diabetes.

Authors:  Nurruzanna Ismail; Noraidatulakma Abdullah; Nor Azian Abdul Murad; Rahman Jamal; Siti Aishah Sulaiman
Journal:  Diagnostics (Basel)       Date:  2021-01-19

5.  The Impact of lncRNAs in Diabetes Mellitus: A Systematic Review and In Silico Analyses.

Authors:  Cristine Dieter; Natália Emerim Lemos; Nathalia Rodrigues de Faria Corrêa; Taís Silveira Assmann; Daisy Crispim
Journal:  Front Endocrinol (Lausanne)       Date:  2021-03-19       Impact factor: 5.555

Review 6.  The Impact of lncRNA on Diabetic Kidney Disease: Systematic Review and In Silico Analyses.

Authors:  Yunyun Zhao; Guanchi Yan; Jia Mi; Guoqiang Wang; Miao Yu; Di Jin; Xiaolin Tong; Xiuge Wang
Journal:  Comput Intell Neurosci       Date:  2022-04-27

Review 7.  Long non-coding RNAs in metabolic disorders: pathogenetic relevance and potential biomarkers and therapeutic targets.

Authors:  B Alipoor; S Nikouei; F Rezaeinejad; S-N Malakooti-Dehkordi; Z Sabati; H Ghasemi
Journal:  J Endocrinol Invest       Date:  2021-04-01       Impact factor: 4.256

Review 8.  Interactions among Long Non-Coding RNAs and microRNAs Influence Disease Phenotype in Diabetes and Diabetic Kidney Disease.

Authors:  Swayam Prakash Srivastava; Julie E Goodwin; Pratima Tripathi; Keizo Kanasaki; Daisuke Koya
Journal:  Int J Mol Sci       Date:  2021-06-02       Impact factor: 5.923

9.  Identification of Key Genes Involved in Diabetic Peripheral Neuropathy Progression and Associated with Pancreatic Cancer.

Authors:  Liumeng Jian; Guangda Yang
Journal:  Diabetes Metab Syndr Obes       Date:  2020-02-19       Impact factor: 3.168

Review 10.  Interactions Among Non-Coding RNAs in Diabetic Nephropathy.

Authors:  Tamil Selvi Loganathan; Siti Aishah Sulaiman; Nor Azian Abdul Murad; Shamsul Azhar Shah; Abdul Halim Abdul Gafor; Rahman Jamal; Noraidatulakma Abdullah
Journal:  Front Pharmacol       Date:  2020-03-03       Impact factor: 5.810

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.