Abstract
Background
Diabetic microvascular complications, including diabetic retinopathy (DR), diabetic nephropathy (DN), and diabetic peripheral neuropathy (DPN), contribute significantly to morbidity and healthcare burdens among individuals with diabetes. The Mediterranean diet (MD) has been associated with improved metabolic health, but its role in mitigating microvascular complications remains unclear. This systematic review and meta-analysis aimed to assess the impact of MD adherence on the risk and progression of these complications.
Methods
A comprehensive search of PubMed, Web of Science, Embase, and Scopus was conducted through February 12, 2025 to identify studies evaluating MD adherence and diabetic microvascular complications. Meta-analysis was performed where possible, with effect sizes reported as odds ratios (ORs) or hazard ratios (HRs) with 95% confidence intervals (CIs).
Results
Fourteen studies, encompassing 138 to 71,392 participants, were included. Meta-analysis indicated a significant reduction in DR risk among individuals adhering to the MD (HR: 0.69, 95% CI: 0.49–0.97, p = 0.03; OR: 0.32, 95% CI: 0.12–0.82, p = 0.02). A lower likelihood of DN development was observed (HR: 0.85, 95% CI: 0.73–0.99, p = 0.04; OR: 0.49, 95% CI: 0.25–0.96, p = 0.04). However, results for diabetic neuropathy were inconclusive due to study heterogeneity. Sensitivity analyses revealed notable heterogeneity and publication bias was detected in some analyses.
Conclusion
Adherence to the Mediterranean diet is associated with a reduced risk of diabetic nephropathy and retinopathy, supporting its potential as a dietary intervention for diabetes management. However, the evidence for neuropathy remains inconclusive. Future well-controlled randomized trials are needed to strengthen causal inferences and refine clinical recommendations for MD-based interventions in diabetic microvascular complications.
Supplementary Information
The online version contains supplementary material available at 10.1186/s40795-025-01038-w.
Keywords: Diabetic nephropathy, Diabetic retinopathy, Diabetic neuropathy, Mediterranean diet
Introduction
Retinopathy, nephropathy, and neuropathy are major microvascular complications of diabetes mellitus (DM), contributing to significant morbidity and economic burden. Diabetic retinopathy (DR), the leading cause of blindness among working-age individuals in the western world, affects approximately 22% of patients with DM worldwide [1]. Diabetic kidney disease (DKD) occurs in 40% of individuals with DM and represents the most common cause of end-stage renal disease (ESRD), significantly increasing healthcare costs due to the need for dialysis and kidney transplantation [2]. Diabetic neuropathy (DN) leads to nerve damage, impairing movement, sensation, and organ function, with a reported prevalence ranging from 6 to 51% [3]. These complications impose substantial financial burdens and negatively impact quality of life [4]. Early detection and management are essential to prevent disease progression and reduce associated costs.
The Mediterranean diet (MD) is characterized by a high intake of vegetables, fruits, whole grains, nuts, legumes, and olive oil, along with moderate consumption of fish and low intake of dairy products and red meat. This dietary pattern has been associated with a reduced risk of cardiovascular disease [5]. The MD has been shown to improve glycemic control and reduce insulin resistance, making it a key component of DM management [6]. Adherence to the MD may lower the risk of DR by reducing oxidative stress and inflammation in retinal tissue [7]. Additionally, nephroprotective nutrients in the MD can slow the progression of diabetic nephropathy [8]. In DN, MD components including lycopene may enhance nerve function and reduce neuropathic pain by decreasing systemic inflammation [9]. Thus, the MD provides a range of benefits for managing and potentially mitigating microvascular complications associated with DM while promoting overall health.
Recent systematic reviews have examined the relationship between the MD and DR risk, with all reporting a protective effect [10–13]. However, the association between the MD and other diabetic microvascular complications, such as DKD and DN, remains less explored. Moreover, previous studies did not provide any analysis. This systematic review and meta-analysis aims to identify, summarize, and interpret the existing literature on the relationship between the MD and microvascular complications of DM.
Methods and materials
Registration
This study was conducted following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for reporting systematic reviews and meta-analyses [14]. The protocol for this systematic review has been registered with the International Prospective Register of Systematic Reviews (PROSPERO) under registration number CRD42024506615.
Search strategy
A comprehensive literature search was conducted in PubMed, Web of Science, Embase and Scopus up to February 12, 2025, using keywords such as “Mediterranean diet,” “diabetic nephropathy,” “diabetic neuropathy,” and “diabetic retinopathy.” All identified studies were imported into EndNote 21.2 for screening. Additionally, relevant systematic reviews and meta-analyses were manually searched to identify any additional articles not captured in the electronic search. The search strategy of each database is available in Supplementary Materials.
Inclusion criteria
Studies were included if they met the following criteria:
Design: Randomized clinical trials or observational studies with prospective, case–control, or cross-sectional designs.
Intervention: Reporting MD adherence.
Outcome: Assessing diabetic microvascular complications, including DR, nephropathy, or DN.
Exclusion criteria
The following types of studies were excluded: letters, comments, short communications, reviews, ecological studies, and animal studies. Studies that lacked sufficient information to assess the impact of the MD on diabetic microvascular complications or did not report methods for measuring MD adherence were also excluded. We did not include non-English studies.
Data extraction
A standardized data extraction form was developed. Two independent investigators extracted the following information:
Author’s name.
Year of publication.
Sample size and study design.
Country of origin.
Patient data (mean age, follow-up duration, and diabetes duration).
MD assessment method and score.
Outcome and its assessment.
Hazard ratio (HR) and odds ratio (OR) with corresponding confidence intervals (CIs) assessing the risk of diabetic microvascular complications in patients with higher adherence to MD or its component compared to those with lower or no adherence.
The extracted data are summarized in Table 1.
Table 1.
Baseline characteristics of the studies
| Author (Year) | Disease | Country | Design | Source | Sample Size | Male (%) | Age | Follow-up(years) | Outcome Assessment | Adherence to MD | Diabetes type | Duration of Diabetes | Adjustment/Matched |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Aziz (2021) [15] | DKD | Iran | Case-control | Kowsar Diabetes Clinic | 210 | 0 | 55.37 | N/A | urinary ACR ≥ 30 mg/g in a random spot urine sample | food-frequency questionnaire (FFQ) | T2DM | 7.58 | age, BMI, energy intake, physical activity, diabetes duration, cardiovascular disease history, and type of drug |
| Ghaemi (2021) [16] | DR, DN, and DKD | Iran | Longitudinal | National Program for Prevention and Control of Diabetes | 71392 | 30.2 | T1DM: 50.7, T2DM: 59.9 | 1-22 months | ICD-10 | MEDAS-14 | T1DM and T2DM | T1DM: 11.34, T2DM: 10.05 | age, sex, type of diabetes, use of statin, duration of diabetes, HbA1c, FPG, hypertension, obesity, smoking, HDL-c, LDL-c, total cholesterol, and TG |
| Hao-Wen Chen (2024) [17] | DR, DN, and DKD | UK | Cohort | UK Biobank cohort | 11267 | 49 | 59.47 | 13.77 | ICD-10 and ICD-9 | The modified MEDLIFE index | T2DM | N/A | age, sex, education, race, deprivation index, smoking status, baseline cardiovascular diseases, baseline hypertension, medication use for cholesterol, blood pressure or diabetes, and total energy intake, MEDLIFE score or VAT |
| Jayedi (2019) [18] | DKD | Iran | Case-control | Kowsar Diabetes Clinic | 210 | 0 | 55.37 | N/A | urinary ACR ≥ 30 mg/g in a random spot urine sample | MedDiet Score and DASH Score | T2DM | 7,58 | BMI, HbA1c, and total energy intake |
| Moradi (2020) [19] | DKD | Iran | cross-sectional | Alzahra hospital | 270 | 36.2 | 65.91 | N/A | NA | Food Frequency Questionnaire (FFQ) | N/A | N/A | sex, age, physical activity, WC, smoking and drug use, and BMI |
| Noori (2022) [20] | DKD | Iran | Case-control | Kowsar Diabetes Clinic | 210 | 0 | 55.37 | N/A | urinary ACR ≥ 30 mg/g in a random spot urine sample | Food Frequency Questionnaire (FFQ) | T2DM | 7,58 | BMI, HbA1C, total energy intake, and diabetes duration. |
| Qu (2024) [21] | DR, DN, and DKD | UK | Cohort | UK Biobank cohort | 33441 | 48.9 | 58.36 | 12.3 | ICD-10 | The alternate Mediterranean Diet (AMED) score | T2DM | N/A | Age, gender, ethnicity, index of multiple deprivations, WC, alcohol consumption, physical activity, hypertension, family history of diabetes, family history of hypertension, family history of heart disease,family history of stroke , HbA1c , HDL-C, LDL-, IGF, TG , CHOL, use of antihypertensive medication, use of cholesterol-lowering medication or use of diabetes medication |
| Sala-vila (2016) [22] | DR | Spain | Cohort | (PREDIMED) study | 3482 | 48 | 67 | 6 | any nonproliferative or proliferative DR, or laser photocoagulation treatment for DR, | Questionnaire validated for the PREDIMED study (13-point score) | T2DM | N/A | age, sex, BMI, intervention group, years after diagnosis of diabetes, use of insulin, use of oral hypoglycemic agents, smoking status, systolic blood pressure, history of hypertension, use of ACE inhibitors or ARB, physical activity, and adherence to the Mediterranean diet (13-point score) |
| Yang Ao (2024) [23] | DKD | UK | Cohort | UK Biobank | 24497 | NA | NA | 11.3 | NA | NA | NA | NA | NA |
| Ziyu Wang (2024) [24] | DR | China | Case-control | Wenzhou Medical University and Anhui Medical University | 138 | 40 | 54.5 | N/A | Clinical diagnostic and imaging guidelines | Measurement of monounsaturated fatty acid | T2DM | N/A | duration of diabetes and ever insulin therapy |
| Zúnica‑García (2024) [25, 26] | DN | Spain | Observational study | Endocrinology clinic of a hospital | 174 | 61.5 | 69.56 | N/A | Impaired both Semmes Weinsten 5.07–10 g monoflament test and sensitivity to vibration test | MEDAS-14 | T2DM | 15.35 | NA |
| Tina Costacou (2018) [27] | DKD | USA | Cohort | The SEARCH cohort study | 461 | 43 | 20 | 108 months | Microalbuminuria was defined as a UACR 30–300 mg/mg | a modified Mediterranean diet score for children and adolescents (mKIDMED) index | T1DM | 108.1 months for microalbuminuria and 113.1 months for macroalbuminuria | kcal/day, protein intake, smoking status, demographic factors (age, sex, race, parental education), disease factors (disease duration, insulin regimen), systolic bloodpressure and HbA1c |
| Diaz-Lopez (2015) [28, 29] | DR and DKD | Spain | Cohort | (PREDIMED) study | 3614 | 47.2 | 67 | 6 | as reported in the medical records | Questionnaire validated for the PREDIMED study | T2DM | N/A | Age, sex, baseline BMI, WC, smoking, physical activity,educational level, hypertension, dyslipidemia, family history of premature coronary heart disease, andbaseline adherence to the MedDiet |
Abbreviations: DR Diabetic Retinopathy, DN Diabetic Neuropathy, DKD Diabetic Kidney Disease, ACR Albumin-Creatinine Ratio, DASH Dietary Approaches to Stop Hypertension, AMED Alternate Mediterranean Diet, MEDAS Mediterranean Diet Adherence Screener, T1DM Type 1 Diabetes Mellitus, T2DM Type 2 Diabetes Mellitus, PREDIMED Prevención con Dieta Mediterránea, BMI Body Mass Index, WC Waist Circumference, TG Triglycerides, HDL-C High-Density Lipoprotein Cholesterol, LDL-C Low-Density Lipoprotein Cholesterol, CHOL Total Cholesterol, FPG Fasting Plasma Glucose, BUN Blood Urea Nitrogen, GFR Glomerular Filtration Rate, ACE Angiotensin-Converting Enzyme, ARB Angiotensin II Receptor Blocker
Study quality assessment
The quality of observational studies was assessed using the Newcastle–Ottawa Scale (NOS). This scale assigns a maximum of nine points per study: four points for participant selection, two points for comparability, and three points for outcome assessment. Only high-quality studies (score: 6–9) were included in the analysis.
Statistical analysis
We pooled the effect sizes assessing the risk of each microvascular complications in patients who were adherent to MD or its components compared to those with lower or no adherence. The natural logarithm (Ln) of effect sizes (HR and OR) and their 95% CIs was calculated. The standard error of the effect size was determined using the Ln of the lower and upper CIs. The pooled Ln of effect sizes and standard errors were then used to compute the overall effect size. The exponentiated HR and OR with their 95% CIs were reported as the final results. A random-effects model was applied to account for both between-study and within-study variability. An I² value greater than 50% and P-value < 0.05 calculated from Cochrane’s Q-test in our analysis indicated substantial heterogeneity. Sensitivity analysis was conducted by sequentially excluding each study from the analysis. Publication bias was assessed using Egger’s test. All statistical analyses were performed using STATA 17. A p-value < 0.05 was considered statistically significant.
Results
Search results
A total of 486 studies were identified from four databases. After removing 234 duplicates, 252 studies remained and were screened based on title and abstract. Of these, 216 studies were excluded for reasons such as the absence of information on diabetic microvascular complications or MD adherence. The remaining 36 studies underwent full-text screening, resulting in the exclusion of an additional 22 studies. Ultimately, 14 studies were included in this systematic review. Figure 1 presents the PRISMA Study Flow Diagram.
Fig. 1.

PRISMA study flow diagram
Study characteristics
The total number of participants in these studies ranged from 138 to 71,392, with the proportion of male participants ranging from 0% to 61.5%. The studies were published between 2016 and 2024 and were conducted in Iran (n = 5), Spain (n = 4), the United Kingdom (UK) (n = 3), China (n = 1), and the United States (USA) (n = 1). The review included six cohort studies, four case–control studies, and one cross-sectional study. Cohort studies followed participants for durations ranging from one month to 13.77 years. The average age of participants ranged from 20 to 69.5 years. Twelve studies assessed patients with T2DM, while three studies included individuals with T1DM. Table 1 presents the baseline characteristics of the included studies.
Assessing the method of MD adherence
In 14 included studies, MD adherence was assessed using several scoring systems. Four studies [15, 18–20] utilized a modified scale from Trichopoulou et al. [30]. The original Alternate Mediterranean Diet Score (AMED) and the Mediterranean Diet Adherence Screener (MEDAS) were used in one study [21] and three studies [16, 25, 26], respectively. Two studies applied the 14-item Prevención con Dieta Mediterránea (PREDIMED) study tool [22, 28]. One study used a 13-point scale [31]. The modified Mediterranean Diet Score for children and adolescents (mKIDMED index) was employed in one study [27]. Additionally, one study assessed monounsaturated fatty acid levels in plasma [24], and another used the modified MEDLIFE index [17].
Diagnosis of diabetic microvascular complication
The outcomes of diabetic complications outcomes were measured in different ways. Three studies were based on a medically confirmed diagnosis of DR by an ophthalmologist [22, 24, 28]. Four studies defined diabetic nephropathy as an albumin-creatinine ratio (ACR) ≥ 30 mg/g in a random urine sample [15, 20, 27, 29]. Two studies used a 5.07–10 g monofilament, a pinprick test, and a 128 Hz tuning fork to examine sensitivity to pressure, pain, and vibration test [25, 26] Three studies used the International Classification of Diseases, Tenth Revision (ICD-10) for diabetic complications [16, 17, 32].
MD and diabetic neuropathy
Four studies, including two observational studies and a longitudinal study, indicated that adherence to the MD may reduce the risk of various types of DN [16, 17, 25, 26]. However, a prospective cohort study found no significant reduction in DN risk associated with MD adherence [32]. Zúnica García et al. reported a significantly lower MEDAS score among patients experiencing a loss of pressure sensitivity (p = 0.047) and vibration (p = 0.021) [25]. Additionally, patients without diabetic peripheral neuropathy (DPN) had a significantly higher mean MEDAS score than those with DN (7.23 ± 1.79 vs. 6.68 ± 1.49; p = 0.047) [25]. Adherence to the MD was significantly associated with altered sensitivity to pressure (OR = 2.9; 95% CI: 1.02–8.22; p = 0.045) [25]. In another study, Zúnica García et al. found a significantly higher risk of diabetic foot ulcers in patients not adherent to the MD (p = 0.030) [26]. A higher MEDAS score was also observed in patients without diabetic foot ulcer risk (p = 0.011) [26]. Ghaemi et al. reported that adherence to the MD significantly reduced the risk of DN in patients with T1DM (OR = 0.32; 95% CI: 0.23–0.43; p < 0.001) and T2DM (OR = 0.68; 95% CI: 0.64–0.72; p < 0.001) [16]. In contrast, Qu et al. found no significant association between an increased risk of DN and high consumption of MD components [32].
MD and diabetic nephropathy
Ten studies have investigated the association between MD and diabetic nephropathy [15–20, 23, 27, 28, 32]. An analysis of cohort studies indicated that patients with higher adherence to MD or its components had a significantly lower risk of diabetic nephropathy compared to those with low adherence (HR: 0.85, 95% CI: 0.73–0.99, p = 0.04, I2 = 81.80%, Fig. 2). However, sensitivity analysis demonstrated that the results were not robust (Supplementary Fig. 1). Egger’s test indicated no publication bias (p = 0.916). Additionally, the analysis of other studies yielded similar findings (OR: 0.49, 95% CI: 0.25–0.96, p = 0.04, I2 = 93.26, Fig. 3). However, this analysis also revealed significant publication bias (p < 0.001) and unstable results in the sensitivity analysis (Supplementary Fig. 2).
Fig. 2.
Forrest plot assessing the risk of diabetic nephropathy in patients with higher adherence to the Mediterranean diet or its components compared to the reference group with the lowest or no adherence among cohort studies (HR: hazard ratio)
Fig. 3.
Forrest plot assessing the risk of diabetic nephropathy in patients with higher adherence to the Mediterranean diet or its components compared to the reference group with the lowest or no adherence among cross-sectional and case–control studies (OR: odds ratio)
Findings from a systematic review
Qu et al. identified a significant inverse linear relationship between adherence to MD and the risk of diabetic nephropathy [21]. They also reported that adherence to legumes reduced the risk of diabetic nephropathy by 8% and 11% in patients with hyperglycemia and T2DM, respectively. However, no significant associations were observed for other components of MD [21]. In an adjusted model, Noori et al. found that high consumption of grains, legumes, vegetables, fruits, and fish, as the main components of MD, was associated with a significant reduction in the risk of diabetic nephropathy by 64%, 84%, 73%, 82%, and 54%, respectively [20]. Conversely, high meat consumption, which is not recommended in MD, was associated with a significant increase in the risk of diabetic nephropathy [20].
In contrast, three studies reported no significant association between MD and diabetic nephropathy [27, 29, 33] . In a cohort study by Diaz-Lopez et al., no differences were observed in the incidence of diabetic nephropathy between the two MD intervention groups and the control group [29]. Similarly, another cohort study reported no meaningful association between high adherence to MD and a reduced risk of microalbuminuria in patients with T1DM [27]. Moreover, no significant differences in renal function markers, including creatinine, blood urea nitrogen (BUN), and glomerular filtration rate (GFR), were observed among patients with varying levels of adherence to MD [33].
MD and diabetic retinopathy
This review identified six studies that examined the association between MD and DR, including three cohort studies [16, 17, 22, 24, 28, 32]. The analysis of cohort studies demonstrated a significant reduction in DR risk among patients with high adherence to MD and its components compared to the control group (HR: 0.69, 95% CI: 0.49–0.97, p = 0.03, I2 = 51.01; Fig. 4). Moreover, the analysis of other studies revealed similar findings (OR: 0.32, 95% CI: 0.12–0.82, p = 0.02, I2 = 96.37%; Fig. 5). However, both analyses showed inconsistent sensitivity results (Supplementary Figs. 3 and 4) and significant publication bias (p = 0.044, p = 0.0002).
Fig. 4.
Forrest plot assessing the risk of diabetic retinopathy in patients with higher adherence to the Mediterranean diet or its components compared to the reference group with the lowest or no adherence among cohort studies (HR: hazard ratio)
Fig. 5.
Forrest plot assessing the risk of diabetic retinopathy in patients with higher adherence to the Mediterranean diet or its components compared to the reference group with the lowest or no adherence among cross-sectional and case–control studies (OR: odds ratio)
Findings from the systematic review
Wang et al. reported a significant inverse association between plasma levels of five monounsaturated fatty acid (MUFA)s and the risk of DR, identifying oleic acid (OA) as the strongest predictor of DR among patients with T2DM [24]. Additionally, they observed a nonlinear inverse relationship between plasma OA and DR risk [24]. Similarly, Qu et al. demonstrated a 29% reduction in DR risk with a higher MUFA: Saturated fatty acids (SFA) ratio in patients with hyperglycemia. However, no significant association was found between MD and its main components and DR risk [21].
Quality of the studies
Quality assessment of included studies has been provided in Supplementary Materials. All studies provided an overall NOS score ranging from 7 to 9. However, the study of Ao et al. has not been assessed due to unavailable full-text [23].
Discussion
This systematic review summarized 14 studies examining the association between adherence to the MD and the risk of diabetic microvascular complications. Evidence regarding the relationship between MD adherence and DN remained inconclusive. However, findings from systematic review and meta-analyses indicate that adherence to the MD and its components significantly reduces the risk of diabetic nephropathy and retinopathy. However, these results are affected by significant publication bias and a non-robust sensitivity analysis. Additionally, some included studies did not report significant findings for retinopathy and nephropathy.
Diabetic microvascular complications affect a wide range of patients with DM depending on the population and are responsible for morbidity and healthcare costs related to DM. The MD has been found to reduce the risk of several common diseases such as cardiovascular diseases, certain cancers, and neurodegenerative diseases [5, 34, 35]. High adherence to MD is associated with improved glycemic control, lower oxidative stress, and lower inflammation, which may help reduce the progression of DR, nephropathy, and DN through multiple biochemical pathways [6]. One key mechanism is its enhancement of endothelial function, largely mediated by increased nitric oxide (NO) bioavailability [36]. NO plays a crucial role in maintaining vascular homeostasis by promoting vasodilation and reducing oxidative stress [37]. MD components, such as polyphenols found in olive oil and flavonoids in fruits and vegetables, contribute to NO production, thereby improving endothelial integrity and reducing vascular damage [38, 39]. Epigenetic regulation also plays a significant role in MD’s protective effects. Bioactive compounds in MD, such as resveratrol and omega-3 fatty acids, influence gene expression through histone modifications and DNA methylation, which can down-regulate pro-inflammatory pathways linked to microvascular damage [40, 41]. Another emerging mechanism is MD’s role in gut microbiota modulation. Dysbiosis, or an imbalance in gut microbiota, is increasingly recognized as a contributor to diabetic complications [42]. High-fiber components of MD, including legumes foster a beneficial gut microbiome composition that enhances short-chain fatty acid production, reduces systemic inflammation, and improves insulin sensitivity [43]. These mechanisms explain how MD can be involved in the management of microvascular complications.
Studies on the effects of the MD on DN were inconclusive. This can be attributed to several factors. One major limitation is the variability in study designs, population characteristics, a limited number of included studies, and methods used to assess DN. These prevented us from performing a meta-analysis and reporting an overall finding. Some studies reported a protective effect of MD, particularly in improving sensitivity to pressure and reducing neuropathic pain [25, 26], while others failed to find significant associations [32]. The lack of standardized diagnostic criteria for DN across studies may have contributed to inconsistent results. Additionally, confounding factors such as physical activity levels, medication use, and comorbid conditions were not consistently controlled, potentially influencing outcomes.
Potential mechanisms underlying the protective effects of the MD in DN include improved glycemic control, reduced inflammation, and enhanced lipid profile regulation. DPN is associated with elevated inflammatory biomarkers [44]. Omega-3 fatty acid supplementation modulates cellular signaling and generates anti-inflammatory mediators, potentially mitigating nerve damage linked to DN [35]. Individuals with severe DN exhibit lipid profile alterations indicative of impaired energy metabolism [45]. These findings suggest that lipid profiles may serve as biomarkers for metabolic dysfunction contributing to DN [45]. Given the complex pathophysiology of DN, further high-quality longitudinal studies are required to elucidate the potential benefits of MD and its components in reducing DN risk.
Seven of the ten included studies and analyses demonstrated that high adherence to the MD significantly reduces the risk of diabetic nephropathy progression. MD and its components influence diabetic nephropathy through various mechanisms. MD reduces the accumulation of advanced glycation end products (AGEs), which exacerbate diabetic complications by inducing inflammation and oxidative stress [46, 47]. Additionally, MD lowers systolic and diastolic blood pressure and improves insulin sensitivity, both of which contribute to diabetic microvascular complications, particularly diabetic nephropathy [6, 48].
Previous systematic reviews have reported the protective effect of MD on DR [11–13, 49]. Consistent with these findings, our analysis showed that adherence to MD significantly reduces the risk of DR. Moreover, findings from the systematic review highlighted the role of MUFAs and long chain ω−3 polyunsaturated fatty acids on the risk of vision-threatening retinopathy [24, 31]. Dietary omega-3 fatty acids, including eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), protect against abnormal vascular growth and retinopathy by converting to the metabolite 4-hydroxy-docosahexaenoic acid (4-HDHA), which inhibits pathological vessel proliferation [50]. Furthermore, alpha-linolenic acid (ALA), along with EPA and DHA, alleviates retinal oxidative stress and inflammation, potentially preventing DR [51].
However, some studies reported no significant association between MD and diabetic nephropathy and retinopathy [28, 32, 33]. Moreover, significant publication bias and unstable sensitivity analysis were observed. This should be taken into consider when interpreting the results of this study. Bias and heterogeneity in analyses of DR and nephropathy can arise from various confounding factors, including lifestyle behaviors, medication use, medical history, and socioeconomic status. Variations in medication regimens, such as antihypertensive or lipid-lowering drugs, may introduce inconsistencies in study outcomes. Medical history, including the presence of comorbid conditions like hypertension or cardiovascular disease, further complicates comparisons between study populations. These confounding variables may contribute to heterogeneity across studies, limiting the generalizability of findings and highlighting the need for rigorous adjustments and sensitivity analyses to ensure robust conclusions. Moreover, this study was not able to perform a meta-analysis on the association between MD and DN. Thus, future research should consider standardized methodologies, adjustment of cofounders and longer follow-up to improve the comparability and reliability of findings particularly on DN.
Conclusion
This review highlights the promising role of the MD as a beneficial strategy in diabetes management, particularly in mitigating microvascular complications. Strong evidence suggests that MD adherence is associated with a significant reduction in the risk of diabetic nephropathy and retinopathy. These findings reinforce the potential of MD as a non-pharmacological intervention that can complement standard diabetes treatments, offering patients a practical and sustainable dietary approach to improve long-term health outcomes. However, the translation of these benefits into clinical practice is limited by the predominance of observational studies and significant heterogeneity among studies. Furthermore, the evidence for DN remains inconclusive, necessitating long-term, controlled trials to establish causality. Future research should prioritize randomized clinical trials to determine the direct impact of MD on diabetes progression and microvascular complications, ensuring clearer clinical recommendations for patient management.
Supplementary Information
Supplementary Material 1: Supplementary Fig. 1. Sensitivity analysis for analysis assessing the risk of diabetic nephropathy in patients with higher adherence to the Mediterranean diet or its components compared to the reference group with the lowest or no adherence among cohort studies. Supplementary Fig. 2. Sensitivity analysis for analysis assessing the risk of diabetic nephropathy in patients with higher adherence to the Mediterranean diet or its components compared to the reference group with the lowest or no adherence among cross-sectional and case–control studies. Supplementary Fig. 3. Sensitivity analysis for analysis assessing the risk of diabetic retinopathy in patients with higher adherence to the Mediterranean diet or its components compared to the reference group with the lowest or no adherence among cohort studies. Supplementary Fig. 4. Sensitivity analysis for analysis assessing the risk of diabetic retinopathy in patients with higher adherence to the Mediterranean diet or its components compared to the reference group with the lowest or no adherence among cross-sectional and case–control studies.
Acknowledgments
Trial registration
PROSPERO registration: CRD42024561921.
Sources of support
None.
Human ethics and consent to participate declarations
All participants provided written informed consent before participating in the study.
Abbreviations
- DM
Diabetes Mellitus
- MD
Mediterranean Diet
- DR
Diabetic Retinopathy
- DN
Diabetic Neuropathy
- DKD
Diabetic Kidney Disease
- ESRD
End-Stage Renal Disease
- T1DM
Type 1 Diabetes Mellitus
- T2DM
Type 2 Diabetes Mellitus
- AGE
Advanced Glycation End Product
- NO
Nitric Oxide
- HbA1c
Hemoglobin A1c
- EPA
Eicosapentaenoic Acid
- DHA
Docosahexaenoic Acid
- 4-HDHA
4-Hydroxy Docosahexaenoic Acid
- ALA
Alpha-Linolenic Acid
- ICD-10
International Classification of Diseases, Tenth Revision
- BMI
Body Mass Index
- WC
Waist Circumference
- TG
Triglycerides
- HDL-C
High-Density Lipoprotein Cholesterol
- LDL-C
Low-Density Lipoprotein Cholesterol
- CHOL
Total Cholesterol
- FPG
Fasting Plasma Glucose
- BUN
Blood Urea Nitrogen
- GFR
Glomerular Filtration Rate
- ACE
Angiotensin-Converting Enzyme
- ARB
Angiotensin II Receptor Blocker
- ACR
Albumin-Creatinine Ratio
- MEDAS
Mediterranean Diet Adherence Screener
- PREDIMED
Prevención con Dieta Mediterránea
- AMED
Alternate Mediterranean Diet
- DASH
Dietary Approaches to Stop Hypertension
Authors’ contributions
DZ and PS contributed in the systematic search and data extraction. DZ, SK and PS contributed in the data interpretation. DZ, SK and PS contributes in manuscript drafting and data interpretation. All authors approved the final manuscript for submission.
Funding
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
Data availability
No datasets were generated or analysed during the current study.
Declarations
Ethics approval and consent to participate
This study was conducted by the Declaration of Helsinki. Approval was obtained from the Iran University of Medical Sciences Ethics Committee (Approval No. IR.IUMS.REC.2024.123).
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Supplementary Material 1: Supplementary Fig. 1. Sensitivity analysis for analysis assessing the risk of diabetic nephropathy in patients with higher adherence to the Mediterranean diet or its components compared to the reference group with the lowest or no adherence among cohort studies. Supplementary Fig. 2. Sensitivity analysis for analysis assessing the risk of diabetic nephropathy in patients with higher adherence to the Mediterranean diet or its components compared to the reference group with the lowest or no adherence among cross-sectional and case–control studies. Supplementary Fig. 3. Sensitivity analysis for analysis assessing the risk of diabetic retinopathy in patients with higher adherence to the Mediterranean diet or its components compared to the reference group with the lowest or no adherence among cohort studies. Supplementary Fig. 4. Sensitivity analysis for analysis assessing the risk of diabetic retinopathy in patients with higher adherence to the Mediterranean diet or its components compared to the reference group with the lowest or no adherence among cross-sectional and case–control studies.
Data Availability Statement
No datasets were generated or analysed during the current study.




