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Journal of Clinical & Translational Endocrinology logoLink to Journal of Clinical & Translational Endocrinology
. 2017 Jun 3;9:25–31. doi: 10.1016/j.jcte.2017.04.001

The association between vitamin D level and diabetic peripheral neuropathy in patients with type 2 diabetes mellitus: An update systematic review and meta-analysis

Guang-Bo Qu a, Ling-Ling Wang a, Xue Tang a, Wei Wu a, Ye-Huan Sun a,b,
PMCID: PMC5651294  PMID: 29067266

Highlights

  • We comprehensively analyze the association between VD deficiency and DPN in T2DM.

  • Vitamin D deficiency cause the generation and development of DPN in Caucasian.

  • In Asian, Diabetic patients with vitamin D deficiency suffering from DPN are 1.22 times as normal vitamin D level.

  • It is a better measurement to supply vitamin D appropriately for type 2 diabetic patients especially in Caucasian to prevent the generation of DPN.

Keywords: Vitamin D, Diabetic peripheral neuropathy, Type 2 diabetes mellitus, Meta-analysis

Abstract

Aim

Recently, increasing studies have been carried out to explore the association between vitamin D level and the development of diabetic peripheral neuropathy (DPN) in patients with diabetes mellitus (DM). However, because of the shortcoming in study design and sample size, there is still no clear conclusion. We performed this meta-analysis to examine the exact impact of vitamin D deficiency on DPN in type 2 diabetic patients.

Methods

Various databases were searched to identify the potential articles which explored the association between vitamin D level and diabetic peripheral neuropathy in type 2 diabetes. We pooled OR to assess the correlation between vitamin D deficiency and DPN using the random-effects model. The standardized mean difference (SMD) with 95% CI of vitamin D was also calculated to evaluate the vitamin D level between DPN and non DPN in T2DM.

Results

There was obvious heterogeneity in those included ten studies (I2 = 94.1%, Cochran Q test P < 0.001) using mean and standard deviation (SD) of vitamin D level. In Caucasian, vitamin D level was significantly lower in DPN patients compared with diabetic patients without DPN (SMD = −0.56, I2 = 16.9%). In Asian, the pooled OR value of vitamin D deficiency was 1.22 (95%CI: 1.17–1.27). Sensitivity analysis showed one study had great influence on this meta-analysis and it still existed after excluded that one. There was no evidence of public bias in meta analysis as showed in Begg test and Egger test.

Conclusion

This meta-analysis indicates that vitamin D deficiency is associated with the generation and development of DPN in Caucasian with T2DM, and in Asian, diabetic patients with vitamin D deficiency are 1.22 times to suffer from DPN compared with normal vitamin D level. Vitamin D supplementation is urgently needed to prevent the development of DPN in T2DM.

Introduction

Diabetes mellitus (DM), a world significant health concern, is a metabolic disease caused by the defection of insulin secretion or the obstacle of insulin function. The number of people with diabetes will rise up to 366 million in 2030 which is estimated by the World Health Organization (WHO), and these diabetes epidemic will continue [1]. Peripheral nervous system can be affected by diabetes disease in various ways, and the prevalence of neuropathy in patients with diabetes is approximately 30%, and up to 50% will eventually develop neuropathy during the course of their disease [2]. Diabetic peripheral neuropathy (DPN), a common complication of diabetes mellitus, is found in 50% patients living with diabetes mellitus [3]. About 11% patients with DPN have chronic, painful symptoms, which seriously affect patients with diabetes, and DPN, is one of the main causes of morbidity and increased mortality [2], [3], [4]. Some epidemiological studies have indicated the main risk factors of DPN including the high level of blood glucose and glycated hemoglobin, the duration of diabetes, elevated albumin excretion rates, obesity and hypertension [4], [5]. However, the pathological progress of DPN is still not completely clear. It’s essential to identify potential risk factor in diabetes mellitus for the better understanding of the mechanism of DPN. Vitamin D is a steroid hormone which has multifarious and extensive effect in the human body. Vitamin D has already been proven to be associated with the regulation of bone metabolism in previous studies, while, several epidemiological studies also indicate that vitamin D has a strong association with multiple autoimmune diseases [6]. Appropriate supplementation of vitamin D may play a potential therapeutic role in preventing the severity and progression of type 1 diabetes mellitus and type 2 diabetes mellitus [6]. 25-Hydroxyvitamin D [25(OH) D], a biomarker of vitamin D, is measured in the blood sample to monitor the vitamin D level in patients [7]. The concentration of 25-Hydroxyvitamin D ranges from 20 to 30 ng/ml or 50 to 75 nmol/L is considered as vitamin D insufficiency. Vitamin D deficiency is defined as 25(OH) D less than 20 ng/ml or 50 nmol/L [8], [9]. Increasing researches have suggested that low vitamin D level, in addition to result in rickets in infants and chondrosteoma in adults as we all known, may have a potential role in the generation of DM and its underlying diseases [10], [11]. Vitamin D deficiency, a common symptom in diabetic patients who has distal symmetrical polyneuropathy, has been associated with type 1 or 2 diabetes and its microvascular and macrovascular complications [12].

Numerous studies also showed the potential correlation between vitamin D deficiency and DPN in patients with type 1diabetes or type 2 diabetes [10], [12], [13]. Meanwhile, the association between vitamin D deficiency and incidence of neuropathy in type 2 diabetes was confirmed in studies [14]. Thus, vitamin D deficiency can cause the risk of DM and its complication including neuropathy, but owing to small sample size, the difference of study design as well as the population and regions of studies, there is still no clear conclusion about the association between vitamin D and DPN in diabetic patients. Therefore, we performed this systematic review and meta-analysis to explore the impact of vitamin D level in the development of DPN in T2DM.

Methods

Data sources and searches

We comprehensively searched PubMed, web of science, Chinese Biomedical database (CBM) and Chinese National Knowledge Infrastructure database (CNKI) to find the potential articles which explored the relationship between vitamin D and DPN. Language was confined in English and Chinese. We also comprehensively reviewed reference lists of retrieved articles to identify more eligible studies. The latest search was updated on 4 February 2017. Search strategy was performed as following: (25(OH) D or 25-Hydroxyvitamin D or vitamin D) and (peripheral neuropathy or diabetic neuropathy or diabetic peripheral neuropathy or DPN).

Study selection

Retrieved articles were included if they: (1) were case-control or cross-sectional design or cohort studies; (2) regarded type 2diabetic patients as participants; (3) reported the effect estimate or assessed the association between 25(OH)D level and diabetic peripheral neuropathy (DPN) in patients with type 2 diabetes; (4) provided mean with standard deviation (SD) values or odds ratio (OR) with 95% confidence interval (95%CI) of 25(OH)D level. Retrieved articles were excluded if they: (1) were case report studies, reviews, meta-analysis or no original articles; (2) had no usable data; (3) were duplicate publications; (4) regarded healthy people as control groups; (5) were animal experimental studies. If there was any missing data for this meta-analysis in selected articles, we would contact the authors for the complete information.

Data extraction and quality assessment

We extracted the following information from all included articles: first author name; publication year; race; method of measured 25(OH)D level; number of DPN and non DPN; mean with standard deviation values of 25(OH) D level and odds ratio (OR) with 95% confidence interval (95%CI) of vitamin D deficiency with DPN. All included articles were independently assessed by two reviewers (LL Wang and X Tang) through checked the full-text. If there was any disagreement, resolved by the third reviewer (W Wu). Quality of each study were evaluated according to Newcastle-Ottawa Scale (NOS) from eight items, categorized into three dimensions [15]: (1) selection; (2) comparability; (3) outcome or exposure. Low quality studies were defined with 0–3 scores, moderate quality studies were defined with 4–6 scores, high quality studies were defined with 7–9 scores.

Statistical analysis

We extracted the main outcome (mean ± SD and OR with 95% CI) of included studies. Then, we calculated standardized mean difference (SMD) with 95% CI to evaluate the difference of 25(OH) D level between DPN and non DPN in patients with diabetes mellitus. Additionally, we used pooled OR with 95% CI to assess the association between vitamin D deficiency and DPN in diabetes. To examine the heterogeneity between included articles, forest plots were created by the fixed-effects model if there was no obvious heterogeneity, otherwise, random effects model was used [16], [17]. The P value of Cochran Q test and I2 test value was used to assess the heterogeneity. If Cochran Q test P value less than 0.1, there was obvious heterogeneity between included studies [18]. We also defined I2 test value of 25–50% as mild heterogeneity, 50–75% as moderate heterogeneity, ≥75% as severe heterogeneity.

Subgroup analysis was performed according to the different characteristics of the studies when there was obvious heterogeneity. Sensitivity analysis was also conducted to explore the influence of any study on pooled estimates by omitting studies by turns.

To measure publication bias, we performed Begg rank correlation test and Egger liner regression test which was quantitative analysis of publication bias. Funnel plot was equally performed to qualitatively measure the publication bias [19], [20]. If P values of Begg test and Egger test were greater than 0.05, it indicated that there was no obvious publication bias in this meta- analysis. All statistical analysis was performed using stata software, version 11.0.

Results

We searched all potential relevant articles on PubMed, web of science, CBM and CNKI databases. A total of 381 publications were identified. After browsed the title and abstract of these articles, 332 articles were excluded. After evaluated the full text of the surplus literature, only ten publications met the study selection criteria (Fig. 1).

Fig. 1.

Fig. 1

Flow diagram for this meta-analysis.

The main characteristics of included studies were exhibited in Table 1. Of included ten studies, four studies were cross-sectional study design, six studies were case-control study design. 1368 type 2 diabetic patients were included in this meta analysis. Nine studies [22], [23], [24], [25], [36], [37], [38], [39], [40] were considered as moderate quality with 4–6 scores. Only one study [21] got 7 scores as high quality. Most of the studies were conducted in China (70%). Most measurement of 25(OH) D level of patients was the method of Electrochemiluminescence immunoassay (ELICA). One study (Wang N et al.) [39] did not report the measurement of 25(OH) D level. Diagnostic standards of diabetic peripheral neuropathy were defined in most studies. One study [22] did not note the measurement of DPN in detail.

Table 1.

Characteristics of ten articles included in this meta-analysis

First author Year Source of control Race Study design Sample size
VD concentration (mean ± SD)
Measurement of VD Quality score
Case (n) Control (n) Case Control
Shehab D [21] 2012 Population-base Caucasian Cross-sectional 87 123 36.9(39.9)nmol/ml 58.32(58.9)nmol/ml RIA 7
Bulent Bilir [36] 2016 Population-base Caucasian Cross-sectional 37 33 10(4.6)ng/ml 14.1(6.1)ng/ml UPLC 4
Wang YF [22] 2015 Inpatient Asian Case-control 60 60 30.6(9)nmol/L 58.9(15.8)nmol/L ECLIA 3
Cui LJ (A) [37] 2015 Inpatient Asian Case-control 107 93 40.75(23.75)nmol/L 54.5(24.5)nmol/L ECLIA 4
Wang Q [38] 2016 Inpatient Asian Case-control 123 107 9.31(3.52)ng/ml 12.03(5.93)ng/ml ECLIA 6
Xiao LF [23] 2014 Inpatient Asian Case-control 76 70 30.55(8.95)nmol/L 58.86(15.79)nmol/L ECLIA 4
Zhang JP [24] 2014 Inpatient Asian Cross-sectional 37 43 12.73(4.68)ng/ml 17.56(5.28)ng/ml ECLIA 4
Cui LJ (B) [25] 2015 Inpatient Asian Case-control 89 111 36.99(7.26)nmol/L 57.31(10.27)nmol/L ECLIA 4
Wang N [39] 2016 Inpatient Asian Case-control 52 49 11.58(6)ng/ml 14.94(6.07)ng/ml NS 3
S. Skalli [40] 2012 Population-base Caucasian Cross-sectional 62 49 24.3(11.98)nmol/L 34.74(17.26)nmol/L RIA 4

RIA: radioimmunoassay ECLIA: electrochemiluminescence immunoassay VD: vitamin D UPLC: ultra-performance liquid chromatography NA: not available.

In order to assess the influence of 25(OH)D level in the development DPN in diabetic patients, we collected mean and standard deviation (SD) of 25(OH) D level of ten included studies, after analyzed all the studies, there was obvious heterogeneity in those ten studies (I2 = 94.1%, Cochran Q test P < 0.001) (Fig. 2). To identify the source of heterogeneity, subgroup analysis was performed by the measurement of 25(OH) D level, study design, and race. Heterogeneity was obviously decreased after the analysis of study design and race subgroup. There are low heterogeneity between studies which are cross-sectional study design (SMD = −0.63, I2 = 37.9%) and performed in the Caucasian population (SMD = −0.56, I2 = 16.9%) (Fig. 3, Fig. 4). Sensitivity analysis showed one study (Cui LJ et al.) [25] had great influence on the summary estimate (Fig. 5), after excluded that one, heterogeneity was not obvious reduced (Q test p < 0.01, I2 = 91.7%).

Fig. 2.

Fig. 2

The association between vitamin D level and DPN in type 2 diabetic patients.

Fig. 3.

Fig. 3

Subgroup analysis by race for the association between vitamin D level and DPN in type 2 diabetic patients.

Fig. 4.

Fig. 4

Subgroup analysis by study design for the association between vitamin D level and DPN in type 2 diabetic patients.

Fig. 5.

Fig. 5

Sensitivity analyses for this meta-analysis.

Among included ten studies, four reported the association between vitamin D deficiency and DPN by statistics OR with 95% CI of Asian [22], [23], [24], [25], and only one reported this relationship of Caucasian [21]. Therefore, we only calculated pooled OR value of studies in Asian, and Pooled OR was 1.22 (95% CI:1.17–1.27, I2 = 0%), which indicated that low 25(OH) D level in DM patients was an risk factor of DPN (Fig. 6).

Fig. 6.

Fig. 6

Odds ratios for the association between vitamin D deficiency and DPN in Asian with type 2 diabetes.

There was no evidence of publication bias in meta analysis as showed in performed Begg test and Egger test (P = 0.128 and P = 0.130, respectively).

Discussion

This systematic review and meta-analysis explored how vitamin D level measured in human blood sample affected the development of DPN in diabetic patients. From the result, there was severe heterogeneity in those ten studies (I2 = 94.1%) to assess the correlation between 25(OH) D level and DPN. However, after subgroup analysis by study design and race, the heterogeneity was reduced significantly. The cause of these changes may be caused by the low quality study designs and the different regions of studies. When we calculated the standardized mean difference (SMD) of included articles, we found that there was an obvious association between vitamin D and DPN in Caucasian, but no obvious correlation between vitamin D and DPN was observed in Asian. However, after analyzed all reported OR values of four studies, finally, we find that diabetic patients with vitamin D deficiency are 1.22 times suffering from DPN than those patients without vitamin D deficiency in Asian. Thus, vitamin D may be a high risk factor for the occurrence of DPN in diabetic patients. A previous meta-analysis also has demonstrated that vitamin D is involved in the development of DPN, and vitamin D deficiency is very likely to be associated with increased risk of DPN [26]. Appropriate vitamin D supplements can be an effective measurement to prevent the development of DPN in diabetic patients.

The study of Cui LJ et al. [25] had a great influence on the stability of this meta analysis as showed in sensitivity analysis. The mean and standard deviation of vitamin D level in the control group was higher than the case group compared with other studies (57.31 ± 10.27 nmol/L vs 36.99 ± 7.26 nmol/L). The reason might be due to the small sample size, personal error, and Imprecise measurement method of this study. Thus, these factors caused the great influence on the result of this meta analysis.

DPN, a common complication of diabetes mellitus affects patients with DM, is a major cause of morbidity and increased mortality [3]. It is necessary to clarify the potential risk factor of DPN. As we all known, DPN is increased with age and diabetic duration. Recently, more and more studies imply that vitamin D level makes a tremendous impact on the generation and development of DM and its complications [27], [28]. Vitamin D is an essential fat-soluble vitamin in the human body, which is closely linked to human health. Vitamin D deficiency can cause many health problems such as well-known osteoporosis in adulthood [7]. Multiple articles demonstrated that vitamin D might play its therapeutic role effectively through immune-modulatory properties in T1DM. Meanwhile, vitamin D also might play an essential role in protecting pancreatic β-cell function through various channels and in various ways [11].

In animal studies, Vitamin D deficiency has been shown to associate with low levels of neurotrophins (especially nerve growth factor) and defective neuronal calcium homeostasis. Vitamin D through its receptor modulates neuronal differentiation as well as neuronal growth and functions [12], [29]. In addition, vitamin D deficiency has been linked to a lower pain threshold which increases when vitamin D deficiency is corrected [12]. Vitamin D deficiency is common in diabetic patients, and low concentrations are associated with the presence and the severity of sensory neuropathy in diabetes [21]. Some retrospective studies have indicated vitamin D deficiency is an independent risk factor for DPN [21], [22], [23], [24], [25]. Moreover, increasing prospective intervention studies also have shown that oral vitamin D supplementation can reduce the symptoms and pain of DPN significantly [30], [31]. Clearly, serum vitamin D deficiency has been involved in the generation and development of DPN disease in all patients with diabetes mellitus. Thus, vitamin D deficiency may be a potential cause of the generation of DPN in DM, and this causal relationship has been proposed in multiple studies of various ethnic groups [32]. Vitamin D deficiency is considered as a pandemic and a worldwide problem for human health [33], [34], [35]. 25-Hydroxyvitamin D which is a biological marker of vitamin D can be measured to monitor the vitamin D level in human blood sample [7]. A serum level of 25-hydroxyvitamin D more than 75 nmol/L or 30 ng/ml, is required to maximize vitamin D's beneficial effects for health, and vitamin D deficiency is defined as serum 25(OH) D level less then 20 ng/ml or 50 nmol/L [8], [33]. Multiple cross-sectional studies have strongly suggested an inverse relationship between vitamin D level and DPN in DM [21], [36]. However, because of the study design, sample size of study, some confounding factor and the fact of study result, there is still no clear conclusion on the association between vitamin D and DPN. Therefore, further large, well designed, controlled studies are needed to examine the true relationship between vitamin D and DPN.

Strengths and limitations

The strengths of our study were multitudinous subgroup analysis and outcomes in diabetic patients with different characteristics. As we known, DPN, a common complication of diabetes, whose development is also affected by diabetes. This study included diabetic patients without DPN as controls, which controlled the influence of diabetes and purely explored the impact of vitamin D deficiency on the happening of DPN in DM patients. Our study included multiple regions and races of cases and controls, which provides us the chance to identify the relationship between vitamin D level and DPN in different characteristics of patients. In addition, we also pooled OR values to estimate the association when there was no clearly identify the association between vitamin D deficiency and DPN using SMD statistics. However, there were several limitations in our meta-analysis. First, severe heterogeneity was observed between included articles, and sensitivity analysis found one article made a great influence on this meta-analysis. Second, sample size of included articles was small, and limited number of included studies. More large, well designed, and prospective studies are urgently needed to estimate this association. Third, the definition of DPN was not uniform due to a variety of different measurements of DPN. Fourth, manual searching was not performed that limited articles published in peer-reviewed journal were searched and unpublished articles or conference abstracts were not retrieved in this meta-analysis. Finally, some potential confounding factors associated with DPN and vitamin D were not well estimated from included studies. This might cause a certain bias and made an impact on the stability of this meta-analysis and true association between vitamin D level and DPN.

Conclusion

Our study can tentatively draw a conclusion briefly. This meta-analysis indicates that type 2 diabetic patients with vitamin D deficiency are 1.22 times to suffer from DPN compared with normal vitamin D level in Asian. Vitamin D deficiency is an important cause factor for the development of DPN in Caucasian with diabetes mellitus. It is urgently needed to supply vitamin D appropriately for preventing the generation of DPN in type 2 diabetes. More large, random, prospective studies are required to confirm this association.

Conflict of interest

The authors declare no conflict of interest.

Acknowledgment

None.

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