Abstract
Background
Autosomal dominant polycystic kidney disease (ADPKD) is the most common hereditary nephropathy with few treatments to slow renal progression. The evidence on the effect of lipid-lowering agents (statins) on ADPKD progression remains inconclusive.
Methods
We performed a systematic review and meta-analysis by searching the PubMed, Embase, Web of Science, and Cochrane databases (up to November 2019). Changes in estimated glomerular filtration rate (eGFR) and total kidney volume (TKV) were the primary outcomes. Mean differences (MDs) for continuous outcomes and 95% confidence intervals (CIs) were calculated by a random-effects model.
Results
Five clinical studies with 648 participants were included. Statins did not show significant benefits in the yearly change in eGFR (4 studies, MD = −0.13 mL/min/m2, 95% CI: −0.78 to 0.52, p = 0.70) and the yearly change in TKV (3 studies, MD = −1.17%, 95% CI: −3.40 to 1.05, p = 0.30) compared with the control group. However, statins significantly decreased urinary protein excretion (−0.10 g/day, 95% CI: −0.16 to −0.03, p = 0.004) and serum low-density lipoprotein level (−0.34 mmol/L, 95% CI: −0.58 to −0.10, p = 0.006).
Conclusion
Despite these proteinuria and lipid-lowering benefits, the effect of statins on ADPKD progression was uncertain.
Keywords: Polycystic kidney disease, Autosomal dominant, Statins, Glomerular filtration rate, Proteinuria, Meta-analysis
Introduction
Autosomal dominant polycystic kidney disease (ADPKD), characterized by progressive growth of cysts from renal tubules, affects approximately 1–2‰ people worldwide [1]. ADPKD is the 4th pathogenesis of renal replacement therapy [1]. Increased enlargement of cysts, abnormal fluid secretion, and inflammation play important roles in ADPKD progression [2]. Estimated glomerular filtration rate (eGFR), proteinuria, and total kidney volume (TKV) are the most commonly used indicators to monitor ADPKD progression [3].
Treatments for ADPKD mainly include diet and lifestyle management, hypertension interventions, and tolvaptan for high-risk ADPKD patients [4]. In recent years, hydroxymethylglutaryl coenzyme A reductase inhibitors (statins) were found to have anti-inflammatory, antiproliferative, and antioxidant effects in addition to lipid-lowering effects in ADPKD from experimental and human data [5, 6]. However, the evidence of statin treatment in ADPKD patients remains controversial.
Cadnapaphornchai et al. [7] performed a randomized controlled trial (RCT) to investigate the effects of pravastatin in children and young adults with ADPKD. They found that pravastatin could decrease TKV but had no significant effect on eGFR. However, van Dijk et al. [8] suggested that simvastatin may have an ameliorative effect on renal function decrease in a small cohort study of 10 ADPKD patients. A post hoc analysis of the HALT-PKD trial [9] showed that statin treatment did not reduce the TKV change compared with the nonuse group. Therefore, we performed this systemic review and meta-analysis to summarize present studies evaluating statins on ADPKD progression for a better understanding of statins in ADPKD.
Materials and Methods
This systemic review was performed following the PRISMA guideline and the standard PICOS strategy [10]. The authors (X.C. and Z.C.) performed a literature search using the PubMed, Embase, Web of Science, and Cochrane databases (up to November 2019). The PubMed search terms (both as medical subject headings and free-text terms) were as follows: (polycystic kidney or polycystic kidney disease or PKD or ADPKD) and (statins or hydroxymethylglutaryl-CoA reductase inhibitors or HMG CoA or hypolipidemic agents) and (humans). The search terms were adapted for the other electronic data source. Google scholar and Baidu scholar (Chinese) were searched to find additional relevant studies.
The literature was evaluated by 2 authors (X.C. and Z.C.) independently with the following eligibility criteria: (1) RCT or cohort study (retrospective or prospective); (2) patients with ADPKD; (3) comparing the effects of statins with placebo or no-use; and (4) providing data on renal outcomes or TKV. When more than one publication of one cohort study was found, we used the latest publication. We excluded studies with the following properties: (1) patients received any other lipid-lowering interventions besides statins; (2) patients with autosomal recessive polycystic kidney disease; (3) and studies with no renal outcomes of eGFR, TKV, and proteinuria. We attempted to contact the original investigators to obtain additional information if necessary.
Studies estimating the effects of statins in ADPKD patients were selected. Mean difference (MD) and 95% confidence intervals (CI) were calculated in the random-effects model. We used the Cochrane tool to evaluate the quality of the included studies. Statistical heterogeneity was assessed using Q and I2 statistics [11]. The sensitivity analysis was conducted by excluding each study at a time to find whether the result was affected by a large study or an extreme result. Begg's test and Egger's test were used to investigate the publication bias [12, 13]. The primary outcomes were eGFR yearly changes and TKV yearly changes. Secondary outcomes were urinary protein excretion (UPE) and lipid levels. All analyses were assessed using Revman (version 5.3, Cochrane) and Stata (version 12, College Station, TX, USA). When p < 0.1, the heterogeneity was significant. Otherwise, the p value was 2-sided with a significance level of 0.05.
Results
Literature Search and Study Characteristics
The process of selecting relevant studies initially found 69 publications from the databases (Fig. 1). After exclusion of irrelevant studies and duplicates, 16 potentially eligible studies were deeply screened. Eventually, 5 studies were included for the final meta-analysis [7, 8, 9, 14, 15]. Characteristics of the included studies are listed in Table 1. Three RCTs and 2 retrospective cohort studies with 648 patients were included to investigate the effects of statins in ADPKD [7, 8, 9, 14, 15]. Four studies [7, 8, 9, 14] were performed in Caucasians and 1 study [15] in Asians. Most of the participants were at CKD stage 1–3. The follow-up times ranged from 1 to 36 months. The bias risk of the studies is shown in Figure 2. Random sequence was reported in 3 RCTs [7, 8, 14]. Allocation concealment was not reported in any of the studies except the study by Cadnapaphornchai et al. [7].
Fig. 1.
Flow chart of study identification, inclusion, and exclusion.
Table 1.
Characteristics of included trials
| Studies | Year | Country | Randomization setting | Setting | Duration, months | Groups | N | Male/female, n | Age, years | Dose, m/d | eGFR, mL/min/1.73 m2 | HtTKV | UPE, g/d | Outcomes |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| van Dijk et al. [8] | 2001 | Netherlands | RCT, DB, cross-over | SC | 1 | Simvastatin | 10 | 6/4 | 35±4 | 40 | 124±4 | NA | NA | 1 4 5 6 7 |
| Placebo | 10 | 6/4 | 35±4 | 124±4 | NA | NA | ||||||||
| Fassett et al. [14] | 2010 | Australia | RCT, open-label | SC | 24 | Pravastatin | 29 | 12/17 | 53±15 | 20 | 58.5±18.2 | NA | 0.37±0.49 | 1 2 4 5 6 7 |
| No treatment | 20 | 7/13 | 49±12 | 49.9±23.2 | NA | 0.22±0.23 | ||||||||
| Cadnapaphornchai et al. [7] | 2014 | USA | RCT, DB | SC | 36 | Pravastatin | 56 | NA | 16±4 | 20/40 | 135±28 | 336±187 | 0.1±0.1 | 1 2 3 4 5 6 7 |
| Placebo | 54 | NA | 16±4 | 138±27 | 315±175 | 0.2±0.2 | ||||||||
| Zhou and Mei [15] | 2016 | China | RC | SC | 24 | Statin | 16 | 8/8 | 41±4 | NA | 86±27 | 827.5±375.3 | NA | 1 2 |
| No treatment | 15 | 7/8 | 38±3 | NA | 89±26 | 759.1±342.8 | NA | |||||||
| Brosnahan et al. [9] | 2017 | USA | RC | Multicenter | 36 | Statin | 56 | 24/32 | 35±3 | NA | 94.9±7.2 | 703±65 | NA | 1 2 |
| No treatment | 382 | 190/192 | 37±1 | NA | 91.4±0.9 | 702±21 | NA | |||||||
RCT, randomized controlled trial; RC, retrospective cohort study; SC, single center; DB, double-blind; eGFR, estimated glomerular filtration rate; HtTKV, height-adjusted total kidney volume; UPE, urinary protein excretion; NA, not available. 1 eGFR; 2HtTKV; 3 UPE; 4 total cholesterol; 5 triglycerides; 6 low-density lipoprotein; 7 high-density lipoprotein.
Fig. 2.
The risk of bias summary of the included studies.
Primary Outcomes
The yearly change of eGFR did not differ significantly between the statin group and the control group (4 studies, 602 patients, MD = −0.13 mL/min/m2, 95% CI: −0.78 to 0.52, p = 0.70; I2 = 0%, p = 0.90, Fig. 3). Sensitivity analysis by excluding one study each time found consistent results. Publication bias was not found (Begg's test p = 0.60; Egger's test, p = 0.30). Although van Dijk et al. [8] found an ameliorative effect of simvastatin on renal dysfunction, the number of ADPKD patients was few, and the follow-up time was too short (2 months).
Fig. 3.
Effects of statins on eGFR change in ADPKD. eGFR, estimated glomerular filtration rate; ADPKD, Autosomal dominant polycystic kidney disease.
There was also not a significant difference in the yearly rate of height-adjusted TKV between the statins group and the control group (3 studies, 560 patients, MD = −1.17%, 95% CI −3.40 to 1.05, p = 0.30, Fig. 4). There was moderate heterogeneity (I2 = 70%, p = 0.03). In the subgroup analysis by age, the pediatric study of 110 ADPKD patients treated with lisinopril and randomized to pravastatin or placebo for 3 years demonstrated a benefit in TKV expansion associated with pravastatin.
Fig. 4.
Effects of statins on TKV change in ADPKD. TKV, total kidney volume; ADPKD, Autosomal dominant polycystic kidney disease.
Secondary Outcomes
Statins significantly decreased UPE compared with the control group (2 studies, MD = −0.10 g/day, 95% CI: −0.16 to −0.03, p = 0.004; I2 = 0%, p = 0.43, Fig. 5). On the lipid-lowering effect, statins reduced the low-density lipoprotein level (MD = −0.34 mmol/L, 95% CI: −0.58 to −0.10, p = 0.006). However, there were no significant differences in total cholesterol, high-density lipoprotein, and triglycerides (Fig. 5).
Fig. 5.
Effects of statins on proteinuria and lipids in ADPKD. ADPKD, Autosomal dominant polycystic kidney disease; LDL, low-density lipoprotein; HDL, high-density lipoprotein.
Discussion
Statins have been widely used for reducing lipids and preventing cardiovascular events. Statins exert pleiotropic effects besides reducing serum lipid levels [16]. Statins could inhibit the mevalonate pathway which plays important roles in not only cholesterol synthesis but also cell signaling processes, such as the cell cycle and apoptosis [16]. In ADPKD, statins could inhibit the cell proliferation of cystic cells in vivo and vitro [17]. Lovastatin was found to significantly reduce the cyst volume and serum urea nitrogen level in Han:SPRD rats [17, 18]. In recent years, several clinical studies confirmed that statins could enhance endothelial function and renal blood flow and attenuate vascular inflammation in patients with ADPKD [5, 6].
Our study summarized the evidence of statins on ADPKD progression based on existing clinical studies. The effects of statins on the eGFR change in ADPKD remain uncertain. A Cochrane systemic review [19] with 47 studies (39,820 participants) also found uncertain effects of statins on eGFR in CKD patients.
Statins were not associated with a lower rate of TKV change in our results. The RCT in pediatric ADPKD patients (mean age 16 ± 4 years) showed that treatment with pravastatin was associated with a slower increase in TKV, but the HALT study found no difference in TKV between the statin and nonuse groups [9]. The HALT study included older patients (mean age 36.2 ± 8.3 years), indicating that the antiproliferative effects of statins might work in the early stage of ADPKD [9]. This was consistent with the findings that statin benefits in renal plasma flow were limited to the early stages of ADPKD [20]. An ongoing RCT (NCT03273413) that uses statins in early stage ADPKD patients may give us an answer in the future.
According to our results, statins significantly reduced the proteinuria in ADPKD patients. This was consistent with a recent study that confirmed that statin therapy might modestly reduce proteinuria in patients with CKD [21].
This meta-analysis has a few limitations. First, the number of included studies is small. There may not be a sufficient statistical power to achieve robust conclusions. The outcomes still need more studies to prove the findings. Second, a meta-analysis illustrating statins on the progression of CKD found that the high-intensity statin group had a significantly slower decline of eGFR compared to the control group but did not find a benefit of eGFR in the low-intensity statin group [22]. Although subgroup analysis according to high and low intensities of statin could not be performed in this study, future studies could try a higher dose of statin to treat ADPKD. Third, there is a moderate heterogeneity in the results of TKV. Differences in the follow-up time, the baseline renal function, and the age among the studies may lead to heterogeneity.
In summary, despite the proteinuria and lipid-lowering benefits, the effect of statins on ADPKD progression was uncertain. More RCTs with larger sample sizes and higher doses of statins are needed for validation.
Statement of Ethics
The research was conducted ethically in accordance with the World Medical Association Declaration of Helsinki.
Conflict of Interest Statement
All the authors declared no competing interests.
Funding Sources
This work was supported by the National Natural Science Foundation of China (81370784; 81770659, 81873595, 81670612, and 81700579), National Key Research and Development Program of China (2016YFC0901502), Shanghai Top Priority Key Clinical Disciplines Construction Project (2017ZZ02009), Shanghai Science and Technology Talents Program (19YF1450300), Research Projects of Shanghai Traditional Medicine (ZHYY-ZXYJHZX-2-201713), and Research Projects of Shanghai Science and Technology Committee (17411972100).
Author Contributions
Y.S. was responsible for the study concept and design. Z.C., Z.L., and X.C. performed the literature search. Z.C., M.C., and X.C. analyzed and interpreted the data. X.C. drafted the manuscript.
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