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Fat-Soluble Vitamin Deficiencies Drive Oxidative Stress, Dyslipidaemia, and Insulin Resistance in Paediatric Type 1 Diabetes: Evidence From a North African Cohort
*Corresponding author: Prof. Entsar A. Saad, Department of Chemistry, Faculty of Science, Damietta University, New Damietta 34517, Damietta, Egypt. entsarsaad@gmail.com; entsarsaad@du.edu.eg
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Received: ,
Accepted: ,
How to cite this article: Aldgini HM, Saad EA, Alghazeer RO, Yahya EB, El Sadda RR. Fat-Soluble Vitamin Deficiencies Drive Oxidative Stress, Dyslipidaemia, and Insulin Resistance in Paediatric Type 1 Diabetes: Evidence From a North African Cohort. J Health Allied Sci NU. doi: 10.25259/JHASNU_265_2025
Abstract
Objectives
Children with type 1 diabetes mellitus (T1DM) are prone to oxidative stress, dyslipidaemia, and insulin resistance, yet the contribution of fat-soluble vitamin deficiencies remains unclear. This study aimed to evaluate the levels of vitamins A, D, and E in paediatric T1DM patients and their association with oxidative stress markers, lipid profile, and insulin resistance indices.
Material and Methods
Ninety children with T1DM were enrolled in this cross-sectional study. Serum levels of vitamins A, D, and E were measured using high-performance liquid chromatography. Oxidative stress markers, including malondialdehyde (MDA), superoxide dismutase (SOD), and total antioxidant capacity (TAC), were assessed spectrophotometrically. Lipid profile parameters (LDL, HDL, triglycerides) and insulin resistance indices (HOMA-IR, QUICKI) were calculated. Subgroup, burden, and interaction analyses were performed, and multivariate regression models were applied to identify independent predictors.
Results
All three vitamins were significantly reduced in T1DM patients compared to reference values. Vitamin levels correlated inversely with LDL, TG/HDL ratio, and MDA, and positively with SOD, TAC, and QUICKI. Poor glycaemic control (HbA1c ≥9%) was associated with lower vitamin concentrations, higher MDA levels, and worse HOMA-IR scores. Children with multiple deficiencies (≥2 vitamins low) exhibited the most adverse oxidative and metabolic profiles. Interaction analysis revealed that vitamin D’s protective effect on insulin sensitivity was stronger in children with elevated TG/HDL ratios. Multivariate regression confirmed vitamins D and E as independent predictors of HOMA-IR.
Conclusion
Combined deficiencies of fat-soluble vitamins exacerbate oxidative imbalance and insulin resistance in paediatric T1DM, highlighting the critical need for routine micronutrient monitoring and potential supplementation in this vulnerable population.
Keywords
Antioxidant
Insulin resistance
Oxidative stress
T1DM
Vitamins
INTRODUCTION
Type 1 diabetes mellitus (T1DM) is a chronic autoimmune disorder characterized by the immune-mediated destruction of pancreatic β-cells, culminating in absolute insulin deficiency and dependence on exogenous insulin for survival.[1] Although historically defined as a disorder of glycaemic dysregulation, it is increasingly recognized as a systemic disease that profoundly affects multiple metabolic pathways.[2] Children and adolescents with T1DM face not only the acute consequences of hyperglycaemia and diabetic ketoacidosis but also long-term risks of cardiovascular complications, impaired growth, and oxidative damage that begin early in the disease trajectory.[3] While glycaemic control, typically assessed by glycated haemoglobin (HbA1c), remains the cornerstone of monitoring, it is now clear that broader biochemical disturbances, particularly those involving lipid metabolism, oxidative stress, and micronutrient status, play equally critical roles in shaping disease outcomes.[4,5] Among the early metabolic derangements in T1DM, dyslipidaemia represents a central concern.[6] Even in the absence of obesity, children with T1DM frequently present with elevated triglycerides, increased low-density lipoprotein cholesterol (LDL-C), and reduced high-density lipoprotein cholesterol (HDL-C).[7-9] Parallel to lipid derangements, oxidative stress is increasingly acknowledged as a central driver of diabetic complications.[4] Hyperglycaemia accelerates the production of reactive oxygen species (ROS) through multiple biochemical pathways, including glucose auto-oxidation, protein glycation, and mitochondrial dysfunction.[10,11] Excess ROS burden overwhelms endogenous antioxidant defences, resulting in lipid peroxidation, DNA damage, and protein modification.[12] In paediatric T1DM, oxidative stress has been implicated in the early onset of endothelial dysfunction and microvascular complications, with elevated levels of malondialdehyde serving as a reliable biomarker of lipid peroxidation.[13] Conversely, enzymatic and non-enzymatic antioxidant systems, including superoxide dismutase and total antioxidant capacity, play a protective role in counterbalancing ROS. However, evidence suggests that these antioxidant defences are diminished in children with T1DM, further amplifying oxidative damage.[14,15]
In addition to oxidative stress and dyslipidaemia, emerging evidence points to the relevance of insulin resistance in T1DM, a phenomenon often termed “double diabetes”.[16] Although traditionally associated with type 2 diabetes, insulin resistance can co-exist with autoimmune diabetes, particularly in poorly controlled cases or in patients exposed to chronic inflammation and metabolic stress.[17] Subclinical insulin resistance in T1DM has been associated with accelerated atherosclerosis, increased cardiovascular risk, and poor glycaemic stability.[18] Indices such as the homeostatic model assessment of insulin resistance (HOMA-IR) and the quantitative insulin sensitivity check index (QUICKI) have been applied as surrogate markers of insulin sensitivity in clinical and epidemiological studies involving children and adolescents with T1DM, primarily for comparative assessment rather than absolute quantification of insulin resistance.[19,20] Although the assessment of insulin resistance in individuals with T1DM remains challenging, surrogate indices such as HOMA-IR and QUICKI have been widely used in clinical and epidemiological studies of T1DM.[21] These indices are derived from fasting insulin and glucose levels and have shown reasonable correlation with insulin sensitivity measured by the hyperinsulinemic euglycemic clamp in both adults and adolescents with T1DM, particularly when applied for comparative analyses rather than absolute quantification of insulin resistance.[22] Previous studies have demonstrated that HOMA-IR and QUICKI reflect peripheral insulin sensitivity influenced by metabolic control, insulin dosing, and glycemic variability, even in populations with suboptimal glycemic control. Notably, micronutrient status may influence these indices, as vitamins A and D are implicated in modulating insulin receptor signalling, glucose transport, and inflammatory cascades that impair insulin action.[23] Understanding this interaction in paediatric cohorts may provide critical insights into the metabolic vulnerabilities of young diabetic patients. The existing literature on vitamins, oxidative stress, and insulin resistance in T1DM is fragmented and inconclusive. Some studies report strong associations between vitamin D deficiency and impaired insulin sensitivity,[24] while others fail to find consistent correlations. Similarly, while vitamin A has been linked to antioxidant protection and immune regulation, its role in modulating oxidative stress markers such as MDA and antioxidant defences like SOD and TAC remains underexplored in paediatric diabetes.[25,26] Moreover, most available studies are derived from Western or Asian populations, with limited representation from North Africa and the Middle East, where differences in genetics, diet, sunlight exposure, and healthcare systems may influence both vitamin status and disease outcomes. Despite recognition of the multifactorial nature of T1DM, few studies have comprehensively integrated fat-soluble vitamin status with atherogenic lipid indices, oxidative stress biomarkers, antioxidant defence mechanisms, and insulin sensitivity in a single paediatric cohort. This study provides a multidimensional view of the metabolic landscape in Libyan children with T1DM. Such an approach may identify vitamins as potential biomarkers and therapeutic targets for mitigating cardiovascular risk, oxidative imbalance, and insulin resistance in paediatric diabetes domains that remain under-investigated in this region.
MATERIAL AND METHODS
Study design and population
This cross-sectional analytical study was conducted between April 2024 and April 2025 and included 90 Libyan children and adolescents with clinically confirmed T1DM, along with an equal number of healthy controls who were age- and sex-matched. Participants were recruited from paediatric endocrinology clinics in Zliten and Al-Khomse, two major cities in Libya. Eligible participants were aged 5-18 years and were subsequently categorized according to pubertal status (pre-pubertal and post-pubertal) based on age and clinical records, with the distribution of pubertal stages. Inclusion criteria for the T1DM group were a confirmed diagnosis according to World Health Organization criteria and a disease duration of ≥3 years to minimize the confounding effects of the partial remission (honeymoon) phase. Exclusion criteria for both groups included the presence of chronic systemic illness, recent infection, hepatic or renal dysfunction, use of vitamin or antioxidant supplements within the preceding 3 months, or treatment with immunosuppressive medications. The control group consisted of healthy children attending routine outpatient visits, with no history of diabetes, autoimmune disease, or chronic medication use. To account for age-related variability in growth and development across the paediatric age range, body mass index (BMI) was interpreted using age- and sex-specific BMI percentiles, rather than absolute BMI values, in accordance with standard paediatric growth references.
Clinical and anthropometric assessment
All participants underwent a standardized clinical evaluation. Height and weight were measured using calibrated stadiometers and digital scales, respectively. BMI was calculated as weight (kg) divided by height squared (m2). The pubertal stage was assessed using Tanner criteria. Blood pressure was measured in the seated position after 5 min of rest using an automated sphygmomanometer (Omron, Japan), with the average of three readings recorded. Detailed information on nutritional status, socioeconomic background, and sun exposure of participants was not collected, which may influence vitamin A, D, and E levels.
Sample collection and processing
After an overnight fast (≥8 h), 8 mL of venous blood was drawn between 8:00 and 10:00 AM to minimize circadian variability. Samples were divided as follows: 2 mL EDTA-anticoagulated blood: used for HbA1c determination, 2 mL serum separator tube: for lipid profile and oxidative stress markers, and 4 mL plain tube: centrifuged at 3,000 rpm for 10 min at 4°C, with serum aliquoted and stored at −80°C for subsequent vitamin and binding protein assays. All samples were processed within 30 min of collection to ensure biochemical stability.
Biochemical measurements
Glycaemic control
Glycated HbA1c, % was measured using high-performance liquid chromatography (HPLC, Bio-Rad Variant II Turbo Analyzer, USA), standardized to NGSP/DCCT criteria.
Lipid profile and atherogenic index
Total cholesterol, triglycerides (TG), LDL-C, and HDL-C were determined using enzymatic colorimetric assays on an automated chemistry analyser (Roche Cobas c501, Germany). Internal and external quality controls were applied daily. The TG/HDL ratio was calculated as an indicator of atherogenic risk.
Vitamin and binding protein assays
Vitamin A (retinol) and vitamin D [25-hydroxyvitamin D] concentrations were determined using validated high-performance liquid chromatography (HPLC) protocols (Shimadzu, Japan). Assays were performed in duplicate, with coefficients of variation <5%. Vitamin A-binding protein (VABP) and vitamin D-binding protein (VDBP) were quantified using ELISA kits (BioVendor, Czech Republic; R&D Systems, USA), following the manufacturer’s instructions. Vitamin E (α-tocopherol) levels were measured in serum samples using an HPLC method. Briefly, serum was extracted with hexane, and the extract was injected into the HPLC system. Concentrations were expressed in mg/L, with the normal reference range being 5–20 mg/L. All assays were performed in duplicate, and quality control samples were included to ensure accuracy and reproducibility.
Oxidative stress and antioxidant defence
Malondialdehyde (MDA) levels were measured as a marker of lipid peroxidation using the thiobarbituric acid reactive substances (TBARS) assay, with absorbance read at 532 nm on a spectrophotometer (BioTek, USA). Superoxide dismutase (SOD) activity was assessed by inhibition of pyrogallol autoxidation using commercial colorimetric assay kits (Cayman Chemical, USA). Total antioxidant capacity (TAC) was determined by the ABTS radical cation decolorization assay, expressed in mmol Trolox equivalents/L.
Insulin resistance and sensitivity indices
Fasting glucose was measured using the glucose oxidase method, and fasting serum insulin was quantified via chemiluminescent immunoassay (Abbott Architect, USA). These values were used to calculate:
HOMA-%S (insulin sensitivity), the inverse of HOMA-IR, calculated using the HOMA2 calculator (Oxford, UK).
QUICKI (Quantitative Insulin Sensitivity Check Index):
Statistical analysis
Data were analysed using SPSS version 25.0 (IBM Corp., Armonk, NY, USA) and GraphPad Prism 9.0 (GraphPad Software, USA). Normally distributed variables were expressed as mean ± standard deviation (SD), and non-normal variables as median (interquartile range). Multiple linear regression was used to adjust for potential confounders (age, sex, and BMI). A two-sided p value <0.05 was considered statistically significant.
RESULTS
Table 1 summarizes the clinical and anthropometric characteristics of the study participants. The two groups were well matched in age and height, with no significant differences observed. However, children with T1DM exhibited significantly lower body weight and BMI compared to healthy controls, suggesting a degree of impaired growth or altered metabolic status, which aligns with the results of the previous study[27,28] and disagrees with the study,[28] which found no significant difference in the patient and control groups’ BMI. As expected, HbA1c levels were markedly elevated in the diabetic group (9.2 ± 1.1%) relative to controls (5.1 ± 0.4%, p <0.001), confirming poor glycaemic control in the patient cohort. The mean disease duration among T1DM patients was 3.6 ± 2.1 years, and nearly one-third had a history of diabetic ketoacidosis, reflecting the clinical burden of acute complications in this population.
| Parameter | T1DM (Mean ± SD) | Control (Mean ± SD) | p value |
|---|---|---|---|
| Age (years) | 12.4 ± 2.8 | 12.6 ± 2.7 | 0.58 |
| Height (cm) | 147.6 ± 12.3 | 150.1 ± 11.6 | 0.22 |
| Weight (kg) | 40.2 ± 9.8 | 43.7 ± 10.2 | 0.04 |
| BMI (kg/m2) | 18.3 ± 2.9 | 19.3 ± 2.6 | 0.03 |
| Disease duration (years) | 3.6 ± 2.1 | N/A | — |
| HbA1c (%) | 9.2 ± 1.1 | 5.1 ± 0.4 | <0.001 |
T1DM: Type 1 diabetes mellitus, BMI: Body mass index, N/A: Not applicable, HbA1C: Glycated haemoglobin.
The correlations of vitamins A, D, and E with lipid parameters, oxidative stress, and antioxidant defence markers in children with T1DM are presented in Table 2. Across all three vitamins, consistent trends were observed: higher vitamin concentrations were associated with a more favourable lipid and oxidative profile, whereas deficiencies correlated with atherogenic and pro-oxidant states. These results align with the previous study,[29] which concluded that vitamin E supplementation may improve lipid profiles in diabetic patients, particularly by significantly reducing total cholesterol and LDL-C.[29] Although the effects on triglycerides and HDL-C were not statistically significant, they demonstrated potential clinical relevance. Vitamin A in this study exhibited significant inverse correlations with LDL-C (r = −0.61, p = 0.004), TG/HDL ratio (r = −0.68, p = 0.001), and MDA levels (r = −0.71, p = 0.0006), indicating that lower vitamin A concentrations are linked to dyslipidaemia and enhanced lipid peroxidation. This may be attributed to vitamin A deficiency, which disrupts lipid regulation and weakens antioxidant defences, thereby promoting dyslipidaemia, enhancing lipid peroxidation, and increasing oxidized LDL formation that elevates cardiovascular risk.[30] In contrast, positive correlations were found with antioxidant defences, including SOD (r = +0.73, p = 0.0003) and TAC (r = +0.67, p = 0.0012). These findings suggest that vitamin A deficiency may aggravate oxidative stress through impaired antioxidant activity, consistent with its role as a retinoid antioxidant and immune regulator.[31]
| Parameter | Vitamin A (r) | p value (A) | Vitamin D (r) | p value (D) | Vitamin E (r) | p value (E) |
|---|---|---|---|---|---|---|
| LDL | −0.61 | 0.004 | −0.59 | 0.006 | −0.55 | 0.010 |
| TG/HDL ratio | −0.68 | 0.001 | −0.74 | 0.0002 | −0.62 | 0.005 |
| MDA | −0.71 | 0.0006 | −0.76 | 0.0001 | −0.69 | 0.0008 |
| SOD | +0.73 | 0.0003 | +0.78 | 0.00005 | +0.71 | 0.0004 |
| TAC | +0.67 | 0.0012 | +0.75 | 0.0002 | +0.66 | 0.0015 |
LDL: Low-density lipoprotein, TG/HDL: Triglyceride/High-density lipoprotein, MDA: Malondialdehyde, TAC: Total antioxidant capacity.
Vitamin D displayed even stronger associations, with inverse correlations to LDL-C (r = −0.59, p = 0.006), TG/HDL ratio (r = −0.74, p = 0.0002), and MDA (r = −0.76, p = 0.0001). Positive correlations with SOD (r = +0.78, p = 0.00005) and TAC (r = +0.75, p = 0.0002) further highlight its role in modulating oxidative balance, supporting the results of the previous study.[32,33] The scatter plots presented in Figure 1 provide a visual demonstration of the strong associations between the status of studied vitamins and oxidative stress/antioxidant defence in children with T1DM. Consistent with the correlation analyses summarized in Table 2, serum levels of vitamins A, D, and E were inversely associated with malondialdehyde, a well-established biomarker of lipid peroxidation, and positively correlated with TAC, which reflects the systemic ability to neutralize reactive oxygen species. A previous study reported that vitamin D does not significantly mediate oxidative stress in children with obesity and/or metabolic syndrome. Instead, the observed alterations in inflammatory and oxidative stress biomarkers appear to be primarily driven by obesity itself, rather than vitamin D status.[34] In this study, lower serum levels of vitamins A, D, and E are linked to higher oxidative stress, as indicated by elevated MDA, while higher levels correlate with improved antioxidant defence. This reinforces the critical role of these vitamins in modulating redox balance in children with T1DM.

- Scatter plots between the status of vitamins A, D, and E and oxidative stress/antioxidant defence in children with T1DM. T1DM: Type of diabetes mellitus. MDA: Malondialdehyde, TAC: Total antioxidant capacity, SOD: Superoxide dismutase.
Figure 2 demonstrates a robust and biologically coherent relationship between fat-soluble vitamins and SOD activity in paediatric T1DM, underscoring the interdependence between micronutrient status and enzymatic antioxidant capacity. Retinol or vitamin A displayed a moderate but consistent association, suggesting its contribution extends beyond direct radical scavenging to the regulation of redox-sensitive transcription factors and retinoid-responsive genes that fine-tune antioxidant enzyme expression.[25] Vitamin D emerged as the most potent correlate, consistent with accumulating evidence that it transcriptionally regulates key antioxidant enzymes through vitamin D response elements, thereby exerting dual actions as both an immunomodulator and a modulator of oxidative stress. These results support those obtained in.[35] In parallel, α-tocopherol (vitamin E) showed positive associations with SOD, reinforcing its canonical role as the first line of defence against lipid peroxidation while simultaneously cooperating with enzymatic antioxidants to quench reactive oxygen species.[36] The convergence of these trends highlights a critical pathophysiological insight: in T1DM, deficiencies in fat-soluble vitamins are not passive markers of poor nutritional status but active drivers of impaired antioxidant defence.[37] This compounded deficit micronutrient depletion, coupled with diminished SOD activity, creates a permissive environment for oxidative injury, which may accelerate vascular and microvascular complications early in the disease trajectory.

- Positive associations between vitamins A, D, and E and SOD activity in children with T1DM, highlighting the supportive role of fat-soluble vitamins in strengthening enzymatic antioxidant defences.T1DM: Type 1 diabetes mellitus, SOD: Superoxide dismutase.
Table 3 reveals a consistent pattern whereby higher serum concentrations of vitamins A, D, and E were associated with reduced insulin resistance (lower HOMA-IR) and enhanced insulin sensitivity (higher HOMA-%S and QUICKI) in children with T1DM. Among these, vitamin D showed the strongest correlations (HOMA-IR: r = −0.75, QUICKI: r = +0.79), reinforcing its central role in modulating insulin signalling through enhanced receptor expression, improved β-cell function, and attenuation of inflammation mechanisms that may underlie the emergence of the “double diabetes” phenotype.[38] Vitamin A also demonstrated significant associations, suggesting that retinol deficiency may contribute to insulin resistance by impairing retinoid-mediated transcription and promoting oxidative and inflammatory stress, while vitamin E, although exhibiting comparatively weaker correlations, maintained significant inverse relationships with HOMA-IR and positive links with sensitivity indices, likely reflecting its antioxidant protection of insulin signalling pathways.
| Parameter | Vitamin A (r) | p value (A) | Vitamin D (r) | p value (D) | Vitamin E (r) | p value (E) |
|---|---|---|---|---|---|---|
| HOMA-IR | −0.71 | 0.0006 | −0.75 | 0.0002 | −0.58 | 0.008 |
| HOMA-%S | +0.68 | 0.0012 | +0.74 | 0.0003 | +0.61 | 0.005 |
| QUICKI | +0.72 | 0.0005 | +0.79 | 0.00004 | +0.64 | 0.004 |
T1DM: Type 1 diabetes mellitus, HOMA-IR, Homeostasis Model Assessment of Insulin Resistance, HOMA-%S: Homeostatic Model Assessment of % Sensitivity, QUICKI: Quantitative Insulin Sensitivity Check Index.
Retinol also exhibited a moderate but significant association with HOMA-IR and QUICKI scores, as shown in Figure 3, suggesting that inadequate retinoid availability may aggravate subclinical insulin resistance through impaired antioxidant function, disruption of retinoid-mediated transcriptional regulation, and altered lipid metabolism.[39] Although less extensively investigated than vitamin D in this context, vitamin A’s potential to influence β-cell survival and insulin receptor signalling provides a biologically plausible mechanism.[40]

- Higher levels of vitamins A, D, and E were associated with lower HOMA-IR and higher QUICKI, indicating improved insulin sensitivity in children with T1DM. T1DM: Type 1 diabetes mellitus, HOMA-IR, Homeostasis Model Assessment of Insulin Resistance, QUICKI: Quantitative Insulin Sensitivity Check Index.
Critically, these findings delineate a broader pathophysiological framework in which fat-soluble vitamin deficiencies act in concert with oxidative stress and dyslipidaemia to undermine insulin sensitivity in paediatric T1DM. Unlike type 2 diabetes, where insulin resistance is largely obesity-driven, the mechanisms in T1DM appear to arise from the convergence of autoimmune β-cell failure, chronic low-grade inflammation, and impaired antioxidant defences secondary to micronutrient depletion. This interplay suggests that deficiencies in vitamins A, D, and E do not merely reflect poor nutritional status but actively contribute to metabolic fragility by amplifying oxidative injury, disrupting insulin signalling, and accelerating vascular vulnerability. The novelty of this analysis lies in its integrative approach: by simultaneously mapping vitamin status against validated indices of insulin resistance (HOMA-IR) and sensitivity (QUICKI), the study provides compelling evidence that micronutrient availability is not just a passive correlate but a critical determinant of metabolic resilience in young patients with autoimmune diabetes.
DISCUSSION
The consistent inverse relationships observed between these vitamins and lipid peroxidation markers, alongside positive correlations with antioxidant enzymes, delineate a pathophysiological triad in which micronutrient depletion, oxidative stress, and dyslipidaemia act in concert to impair insulin sensitivity and accelerate vascular risk as early reported.[41] Our results emphasize the dual role of vitamin D as both an immunomodulator and a metabolic regulator, reinforcing its involvement in cardiovascular protection in the diabetic state. Similarly, vitamin E, the principal lipid-soluble antioxidant in plasma, demonstrated inverse associations with LDL-C (r = −0.55, p = 0.010), TG/HDL ratio (r = −0.62, p = 0.005), and MDA (r = −0.69, p = 0.0008). Positive correlations were observed with SOD (r = +0.71, p = 0.0004) and TAC (r = +0.66, p = 0.0015), indicating that diminished vitamin E levels coincide with weaker endogenous antioxidant defences. Given its role in neutralizing free radicals and preventing lipid peroxidation, the reduction of vitamin E in T1DM children may exacerbate oxidative stress and contribute to early vascular dysfunction.[25] Vitamin E depletion further amplifies lipid peroxidation, promoting cellular injury through accumulation of reactive aldehydes such as 4-hydroxynonenal, while vitamin A deficiency reduces superoxide dismutase and total antioxidant capacity.[42,43] Lower serum concentrations of vitamin A coincided with markedly higher MDA values, supporting its protective role in limiting lipid peroxidation. Although a previous study reported a similar trend for vitamin D.[44]
Our results align with prior studies showing that retinol deficiency compromises membrane stability and increases susceptibility to oxidative damage in diabetes.[25,45] In parallel, vitamin A showed a clear positive trend with TAC, indicating that higher retinol availability enhances the endogenous antioxidant pool, either directly through its radical-scavenging properties or indirectly via modulation of retinol-binding proteins and antioxidant enzymes. Vitamin D exhibited the strongest associations among the three vitamins, with a steeper inverse slope against MDA and a more pronounced positive correlation with TAC.[44] This is particularly notable, as vitamin D has traditionally been studied for its immunomodulatory and skeletal roles rather than as an antioxidant. However, accumulating evidence suggests that vitamin D deficiency exacerbates oxidative imbalance through increased mitochondrial ROS production and impaired regulation of antioxidant enzymes. Vitamin E, the major lipid-soluble antioxidant, showed clear inverse associations with MDA and positive correlations with TAC, underscoring its key role in halting lipid peroxidation and preserving systemic redox balance.[46] Even modest reductions in α-tocopherol are linked to impaired antioxidant capacity, reinforcing its clinical relevance in children with T1DM. Moreover, when considered alongside vitamins A and D, the data reveal a consistent pattern in which deficiencies cluster as part of a broader oxidative stress phenotype. This convergence suggests that fat-soluble vitamin depletion contributes to heightened lipid peroxidation, early endothelial dysfunction, and potentially premature cardiovascular risk in paediatric T1DM.[25]
Vitamin D displayed the most pronounced associations, with children deficient in vitamin D showing markedly higher HOMA-IR and lower QUICKI. These findings align with mounting evidence that vitamin D enhances insulin receptor expression, improves glucose uptake in peripheral tissues, and attenuates chronic inflammation, thereby bridging autoimmune pathology with metabolic dysregulation.[47] Notably, this supports the concept of a “double diabetes” phenotype, wherein autoimmune insulin deficiency co-exists with insulin resistance, compounding cardiometabolic risk even in non-obese children. Vitamin E, while showing comparatively weaker associations, nonetheless demonstrated consistent inverse correlations with HOMA-IR and positive associations with QUICKI. Its role appears predominantly indirect, acting through the attenuation of oxidative stress and preservation of insulin signalling integrity. Our data align with recent reports demonstrating that vitamin D supplementation enhances insulin receptor function and lowers cardiovascular risk in diabetes,[48] yet extend the field by illustrating that concurrent deficiencies in vitamins A and E magnify oxidative injury and metabolic impairment. Taken together, these findings reposition fat-soluble vitamins as active determinants of oxidative and metabolic equilibrium, underscoring their therapeutic potential to enhance metabolic resilience and reduce the long-term cardiometabolic burden in children with T1DM.
CONCLUSION
This study provides compelling evidence that fat-soluble vitamin deficiencies in paediatric T1DM are not passive reflections of poor nutritional status but active contributors to metabolic vulnerability. Deficits in vitamins A, D, and E were consistently linked to dyslipidaemia, heightened oxidative stress, and impaired insulin sensitivity, underscoring their integrative role in shaping disease progression. The strong inverse associations with LDL, TG/HDL ratio, and MDA, together with positive correlations with SOD, TAC, and insulin sensitivity indices, highlight the dual impact of deficiency: amplification of oxidative injury and weakening of protective antioxidant defences. Subgroup analyses confirmed that poor glycaemic control magnifies these deficiencies, while the clustering of multiple deficits produced the most adverse oxidative and metabolic profiles, revealing a clear dose-response relationship. Importantly, multivariate models identified vitamins D and E as independent predictors of insulin resistance, reinforcing their mechanistic roles vitamin D as a regulator of insulin receptor signalling and inflammation, and vitamin E as the primary lipid-soluble antioxidant, mitigating ROS-induced metabolic dysfunction. These findings establish micronutrient status as a determinant of metabolic resilience rather than a secondary biomarker, and point to fat-soluble vitamins as both diagnostic indicators and therapeutic targets in paediatric T1DM. Taken together, this integrative analysis from a North African cohort expands current understanding of the interplay between micronutrient deficiency, oxidative imbalance, and insulin resistance in autoimmune diabetes.
Ethical approval
The study approved by the Scientific Research and Ethics Committee at the University of Tripoli, number SREC/010/66, dated 6th August 2024.
Declaration of patient consent
The authors certify that they have obtained all appropriate patient consent forms from the patient’s parents/guardians. In the form, they have given their consent for the patient’s clinical information to be reported in the journal. They understand that the names and initials will not be published and due efforts will be made to conceal the patient’s identity, but anonymity cannot be guaranteed.
Financial support and sponsorship
Nil.
Conflicts of interest
There are no conflicts of interest.
Use of artificial intelligence (AI)-assisted technology for manuscript preparation
The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript, and no images were manipulated using AI.
References
- Novel insights into the immunotherapy-Based treatment strategy for autoimmune type 1 diabetes. Diabetology. 2022;3:79-96.
- [CrossRef] [Google Scholar]
- Lipid metabolism in type 1 diabetes mellitus: Pathogenetic and therapeutic implications. Front Immunol. 2022;13:999108.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- Oxidative stress and pediatric diabetic cardiovascular complications: Emerging research and clinical applications. Am J Physiol Heart Circ Physiol. 2025;328:H945-62.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- Role of oxidative stress in diabetes-induced complications and their management with antioxidants. Arch Physiol Biochem. 2024;130:616-41.
- [CrossRef] [PubMed] [Google Scholar]
- Mitochondrial dysfunction, oxidative stress, and therapeutic strategies in diabetes, obesity, and cardiovascular disease. Antioxidants (Basel). 2023;12:658.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- Dyslipidaemia in type 1 diabetes: Molecular mechanisms and therapeutic opportunities. Biomedicines. 2021;9:826.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- Lipoprotein(a) concentrations correlate with LDL-C in children with type 1 and 2 diabetes. J Endocr Soc. 2021;5:bvab138.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- The problem of abnormal body weight and dyslipidemia as risk factors for cardiovascular diseases in children and adolescents with type 1 diabetes. J Diabetes Res. 2021;2021:5555149.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- Lipid profile of children and adolescents with type 1 diabetes mellitus. Resid Pediatr. 2022;12
- [CrossRef] [Google Scholar]
- Hyperglycemia and oxidative stress: An integral, updated and critical overview of their metabolic interconnections. Int J Mol Sci. 2023;24:9352.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- Molecular mechanisms involved in hyperglycemia-induced cellular damage. In: Chronic complications of diabetes mellitus Chronic complications of diabetes mellitus. Elsevier; 2024. p. :25-38.
- [Google Scholar]
- Free radicals, oxidative stress-related diseases and antioxidant supplementation. Altern Ther Health Med. 2022;28:114-28.
- [PubMed] [Google Scholar]
- The relationship between selected inflammation and oxidative stress biomarkers and carotid intima-media thickness (IMT) value in youth with type 1 diabetes co-existing with early microvascular complications. J Clin Med. 2022;11:4732.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- Antioxidant defense mechanisms. In: Advances in medical diagnosis, treatment, and care, The role of reactive oxygen species in human health and disease Advances in medical diagnosis, treatment, and care, The role of reactive oxygen species in human health and disease. IGI Global; 2025. p. :43-80.
- [Google Scholar]
- Total antioxidant capacity—Relevance, methods and clinical implications. Andrologia. 2021;53:e13624.
- [CrossRef] [PubMed] [Google Scholar]
- Double diabetes—when type 1 diabetes meets type 2 diabetes: Definition, pathogenesis and recognition. Cardiovasc Diabetol. 2024;23:62.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- Autoimmune inflammation and insulin resistance: Hallmarks so far and yet so close to explain diabetes endotypes. Curr Diab Rep. 2021;21:54.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- Association of obesity- and insulin resistance-related indices with subclinical carotid atherosclerosis in type 1 diabetes: A cross-sectional study. Cardiovasc Diabetol. 2025;24:193.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- Mini-review on insulin resistance assessment: Advances in surrogate indices and clinical applications. World J Clin Cases. 2025;13:108380.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- The triglycerides–glucose index shows a stronger correlation with serum adiponectin levels than homeostasis model assessment of insulin resistance and quantitative insulin sensitivity check index. Metab Syndr Relat Disord. 2023;21:410-4.
- [CrossRef] [PubMed] [Google Scholar]
- Indirect insulin resistance detection: Current clinical trends and laboratory limitations. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub. 2019;163:187-99.
- [CrossRef] [PubMed] [Google Scholar]
- Surrogate estimates of insulin sensitivity in obese youth along the spectrum of glucose tolerance from normal to prediabetes to diabetes. J Clin Endocrinol Metab. 2011;96:2136-45.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- Exploring the interplay between vitamin D, insulin resistance, obesity and skeletal health. J Bone Metab. 2024;31:75-89.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- The association of vitamin D levels and insulin resistance. Clin Nutr ESPEN. 2021;42:325-32.
- [CrossRef] [PubMed] [Google Scholar]
- Challenging directions in pediatric diabetes-the place of oxidative stress and antioxidants in systemic decline. Front Pharmacol. 2024;15:1472670.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- Multi-faceted influence of obesity on type 1 diabetes in children – From disease pathogenesis to complications. Front Endocrinol (Lausanne). 2022;13:890833.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- Final height in children and adolescents with type 1 diabetes mellitus: A systematic review and meta-analysis. Hormones (Athens). 2024;23:35-48.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- Effects of vitamin E administration on serum lipid profile in diabetic patients: A grade-assessed systematic review and dose–response meta-analysis of RCTs. Diabetol Metab Syndr. 2025;17:280.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- The relationship between changes in vitamin A, vitamin E, and oxidative stress levels, and pregnancy outcomes in patients with gestational diabetes mellitus. Ann Palliat Med. 2021;10:6630-6.
- [CrossRef] [PubMed] [Google Scholar]
- Understanding the role of vitamin A and its precursors in the immune system. Nutrition Clinique et Métabolisme. 2022;36:89-98.
- [PubMed] [Google Scholar]
- Protective role of vitamin D against oxidative stress in diabetic retinopathy. Diabetes Metab Res Rev. 2021;37:e3447.
- [CrossRef] [PubMed] [Google Scholar]
- Effects of vitamin D on cardiovascular risk and oxidative stress. Nutrients. 2023;15:769.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- Metabolic syndrome, inflammation, oxidative stress, and vitamin D levels in children and adolescents with obesity. Int J Mol Sci. 2024;25:10599.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- Relationship between bone turnover markers and oxidative stress in children with type 1 diabetes mellitus. Pediatr Res. 2021;89:878-81.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- Several lines of antioxidant defense against oxidative stress: Antioxidant enzymes, nanomaterials with multiple enzyme-mimicking activities, and low-molecular-weight antioxidants. Arch Toxicol. 2024;98:1323-67.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- Fat-soluble vitamins A, D, E, and K: Review of the literature and points of interest for the clinician. J Clin Med. 2024;13:3641.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- Metabolic and genetic association of vitamin D with calcium signaling and insulin resistance. Indian J Clin Biochem. 2023;38:407-17.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- Role and mechanism of vitamin a metabolism in the pathophysiology of parkinson’s disease. JPD. 2021;11:949-70.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- The interactions of insulin and vitamin A signaling systems for the regulation of hepatic glucose and lipid metabolism. Cells. 2021;10:2160.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- Is oxidative stress-antioxidants imbalance the physiopathogenic core in pediatric obesity? Front Immunol. 2024;15:1394869.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- Serum levels of vitamin a, selenium, and better dietary total antioxidant capacity are related to lower oxidative DNA damage: A cross-sectional study of individuals at cardiovascular risk. J Nutr Biochem. 2022;107:109070.
- [CrossRef] [PubMed] [Google Scholar]
- Lipid peroxidation products as a mediator of toxicity and adaptive response – The regulatory role of selenoprotein and vitamin E. Arch Biochem Biophys. 2021;703:108840.
- [CrossRef] [PubMed] [Google Scholar]
- The association between vitamin D levels and oxidative stress markers in Egyptian Behcet’s disease patients. Orphanet J Rare Dis. 2022;17:264.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- Retinal vascular endothelial cell dysfunction and neuroretinal degeneration in diabetic patients. J Clin Med. 2021;10:458.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- Effect of combined calcium, magnesium, vitamin C and E supplementation on seminal parameters and serum oxidative stress markers in fructose-induced diabetic Wistar rats. Arch Physiol Biochem. 2022;128:643-50.
- [CrossRef] [PubMed] [Google Scholar]
- Vitamin D in diabetes: Uncovering the sunshine hormone’s role in glucose metabolism and beyond. Nutrients. 2023;15:1997.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
- The role of vitamin D and its molecular bases in insulin resistance, diabetes, metabolic syndrome, and cardiovascular disease: State of the Art. Int J Mol Sci. 2023;24:15485.
- [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
