Skip to main content
MJHS
Navigation
Journal Navigation
Article Navigation
opened article
Volum 12, Issue 3
September 2025
Cover Image

Article contents

opened journal
Volum 12, Issue 3
September 2025
Cover Image

Abstract

Introduction

Juvenile idiopathic arthritis is a persistent type of arthritis with no defined cause that develops before the age of 16 years and lasts for at least 6 weeks. The aim of the study was to evaluate cardiovascular risk factors (homocysteine, total cholesterol, and triglycerides) in juvenile idiopathic arthritis.

Material and methods

The study was carried out in the Rheumatology Department of the Mother and Child Institute,Chisinau, Republic of Moldova. The patients’ parents signed the written consent to participate in the study. The study was approved by the Ethics Committee of the Nicolae Testemițanu State University of Medicine and Pharmacy. The study included 90 children with JIA. The number of painful and swollen joints, the global evaluation of the disease by both the physician and patient, as well as the Childhood Health Assessment Questionnaire, were determined. Paraclinical tests included a complete blood count, acute-phase markers of inflammation (erythrocyte sedimentation rate, C-reactive protein) and the cardiovascular risk factors of interest (homocysteine, total cholesterol, and triglycerides).

Results

Patients with JIA exhibit a relatively higher risk of hyperhomocysteinemia compared to controls. Additionally, individuals with JIA display a relatively moderate risk of hypercholesterolemia and a relatively lower risk of hypertriglyceridemia. Thus, a correlation was noted between JIA and hypercholesterolemia, with a slight inclination towards increased triglyceride levels in these children.

Conclusions

Patients with juvenile idiopathic arthritis are at risk for hyperhomocysteinemia, hypercholesterolemia, and hypertriglyceridemia.

Key Messages

What is not yet known on the issue addressed in the submitted manuscript

Although juvenile idiopathic arthritis is a chronic inflammatory disease, the associated cardiovascular risk – particularly related to factors such as homocysteine, total cholesterol, and triglycerides – is not yet fully understood in children with this condition.

The research hypothesis

Children with JIA have an increased risk of developing abnormalities in cardiovascular risk factors, such as hyperhomocysteinemia, hypercholesterolemia, and hypertriglyceridemia.

The novelty added by the manuscript to the already published scientific literature 

The study highlights a clear association between JIA and increased risks of hyperhomocysteinemia and hypercholesterolemia in children, providing local and detailed data that contribute to a better understanding of cardiovascular risks in this pediatric population.

Introduction

Juvenile idiopathic arthritis (JIA), as defined by the International League of Associations for Rheumatology (ILAR) refers to a persistent type of arthritis with no defined cause, beginning before the age of 16 years and lasting for at least 6 weeks [1]. JIA is the most common rheumatic disease in children, and can significantly impair joint function, leading to joint deformities, growth failure and persistent active disease into adulthood. The disease is characterized by chronic synovial inflammation, cartilage damage, and bone erosion. 

Chronic inflammatory diseases such as JIA pose a major risk of premature coronary heart disease. Dyslipidemia plays a crucial role in atherosclerosis, a condition that might be associated with autoimmune diseases. The risk of developing atherosclerosis increases gradually with rising levels of total cholesterol and triglycerides [2].

Cardiovascular risk factors undergo changes during periods of growth and development. Body mass index, systolic and diastolic blood pressure, and serum concentrations of total cholesterol and triglycerides were strongly associated with the extent of lesions in the aorta and coronary arteries [3].

Disturbances in the traditional lipid profile are considered to be associated with subclinical atherosclerosis [4].Top of Form

Dyslipidemia, which is defined by an increase in total cholesterol and/or triglycerides, is one of the most well-known risk factors in children with JIA. Consequently, increased disease activity is associated with dyslipidemia in children with JIA [5, 6]. The impact of cholesterol on atherogenesis is well-documented, playing a central role in triggering the process [7].

Patients with JIA have an increased risk of developing changes in their lipid profile in comparison to those without arthritis. As a result, adults with a history of JIA during childhood have a 6-fold increased risk of developing subclinical atherosclerosis, ultimately leading to an increased risk of cardiovascular disease over time [2]. Hence, continuous monitoring of the lipid profile could potentially reduce morbidity and mortality among adult patients [8]. In patients with rheumatoid arthritis (RA), the prevalence of dyslipidemia varies between 55% and 65% [6, 9-12].

The pathogenesis of dyslipidemia and cardiovascular risk in patients with JIA has not been fully elucidated. Cholesterol plays a crucial role in triggering endothelial dysfunction by activating endothelial and muscle cells, as well as secreting inflammatory mediators such as proinflammatory cytokines [13-14].

Although hypercholesterolemia is significant in approximately 50% of patients with cardiovascular disease, it is crucial to consider other contributing factors as well [15]. Atherosclerosis is undoubtedly an inflammatory disease and does not solely result from lipid accumulation.

Homocysteine (Hcy) is a sulfur-containing amino acid derived from the essential amino acid methionine during its conversion to cysteine [16-18]. Its plasma concentration depends on various factors such as age, sex, lifestyle (including coffee consumption, smoking, physical activity, and alcoholconsumption), genetic mutations that result insignificantly reduced activity of the enzymes involved in homocysteine catabolism, medications, and diseases that interfere with its metabolism. The most significant factor influencing homocysteine levels is the intake of B vitamins [16-19]. For instance, decreased folate concentrations can lead to hyperhomocysteinemia, which is defined by plasma homocysteine concentrations ≥ 15 μM [20].

Hyperhomocysteinemia (HHcy) is a well-known cardiovascular risk factor both in the general population and in patients with inflammatory conditions [18, 21-23]. Considering the cardiovascular risk associated with RA and chronic systemic inflammation, it is essential to implement anti-inflammatory strategies, as well as interventions aimed at lowering homocysteine levels, in this patient population.

Throughout life, serum homocysteine levels gradually increase until puberty. Normal values of serum homocysteine in children and adolescents range from 5 to 15 µmol/L. During puberty, the serum level of homocysteine typically falls within the range of 6 to7 µmol/L; while in adulthood, it varies between 10 and 11 µmol/L. Hyperhomocysteinemia is defined as serum homocysteine levels exceeding 12-15 µmol/L, with the following grades distinguished: mild (15-30 µmol/L), moderate (30-100 µmol/L), and severe (> 100 µmol/L) [16, 24-25].

Mild hyperhomocysteinemia is often detected in healthy, asymptomatic individuals as well [21, 26].

Elevated serum homocysteine levels contribute to endothelial dysfunction and promote platelet aggregation. This initiates an inflammatory response that directly contributes to the development of atherosclerosis, establishing homocysteine as an independent risk factor in the initiation of atherosclerotic processes. Therefore, circulating homocysteine is considered a sensitive marker associated with inflammation and endothelial dysfunction [7, 21, 27-30].

Currently, there is a lack of data on the effectiveness of homocysteine-lowering strategies for cardiovascular disease (CVD) prevention in this population. However, almost all prospective studies have clearly demonstrated a reduction in morbidity and mortality attributed to methotrexate treatment, partially due to folic acid supplementation reducing methotrexate-induced HHcy [31].

It is worth mentioning that patients with RA have a 60% increased risk of death from myocardial infarction and stroke compared to the general population, along with a 48% increased risk of incident myocardial infarction [32]. Therefore, homocysteine-lowering strategies might be suitable for reducing CVD risk in RA populations.

Homocysteine (Hcy) plays a primary role in the onset of early endothelial dysfunction. It participates in the oxidation process of low-density lipoproteins, the proliferation of smooth muscle cells, and the activation of platelets. Elevated Hcy concentrations in both children and adults have direct and indirect toxic effects on the vascular endothelium, posingan additional risk factor for cardiovascular damage and early cerebrovascular accidents, especially when associated with other risk factors such as hypercholesterolemia [4].

Children with chronic rheumatic diseases exhibit an increased prevalence of accelerated atherosclerosis in adulthood. Therefore, it is crucial to identify childhood risk factors to prevent cardiovascular manifestations in adulthood [33].

The aim of the study was to evaluate certain cardiovascular risk factors (homocysteine, total cholesterol, and triglycerides) in juvenile idiopathic arthritis.

Material and methods 

A prospective clinical study was conducted at the Rheumatology Department of the Mother and Child Institute, Chisinau, Republic of Moldova, between 2014 and 2019. The study aimed to evaluate cardiovascular risk factors in children diagnosed with juvenile idiopathic arthritis (JIA). The project was approved by the Research Ethics Committee of Nicolae Testemițanu State University of Medicine and Pharmacy (Minutes №49, dated June 8, 2015), and written informed consent was provided by parents or guardians of all participants.
Study population. The study enrolled a total of 215 children, including 90 children diagnosed with JIA (Group 1 – study group) and 125 healthy controls (Group 2 – control group). Diagnosis of JIA was established according to the classification criteria adopted by the International League of Associations for Rheumatology (ILAR, 1997).
Data collection and clinical assessment

Clinical evaluation included:

  • Number of painful joints (NPJ),

  • Number of swollen joints (NSJ),

  • Physician Global Assessment (PhGA) and Patient Global Assessment (PGA),

  • Physical function assessed using the Childhood Health Assessment Questionnaire (CHAQ), a validated tool comprising 13 items recommended by the American College of Rheumatology.

Disease activity was further quantified using the Disease Activity Score in 28 joints (DAS28).

Laboratory assessments

Paraclinical investigations included:

  • Complete blood count,

  • Acute-phase inflammatory markers: erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP),

  • Biochemical analysis of homocysteine, total cholesterol (TC), triglycerides (TG), and total lipids.

Blood samples were collected in the morning following an overnight fast. Homocysteine was measured using enzymatic ELISA techniques from plasma obtained after centrifugation within 30 minutes of collection (EDTA tubes used). Total lipids, cholesterol, and triglycerides were quantified enzymatically by spectrophotometry (cholesterol oxidase/peroxidase method) using the Cobas C 311 biochemical analyzer.

Reference pathological values were defined as:

  • Total cholesterol ≥ 5.2 mmol/L,

  • Triglycerides > 1.7 mmol/L,

  • Homocysteine > 12 μmol/L.

Statistical analysis. Data were processed and analyzed using IBM SPSS Statistics version 20 and Microsoft Excel 2010. Qualitative variables were summarized in contingency tables, and associations were tested by the Chi-square (χ²) test. The Student's t-test was applied for comparison of means between two groups, while analysis of variance (ANOVA) was used for comparisons involving three or more groups. Correlations between quantitative variables (e.g., anthropometric, hemodynamic, biochemical, and ultrasound parameters) were evaluated using Pearson’s correlation coefficient (r), interpreted according to Hopkins’ scale:

  • r < 0.1: negligible correlation,

  • 0.1 ≤ r < 0.7: moderate correlation,

  • 0.7 ≤ r < 0.9: strong correlation,

  • r ≥ 0.9: very strong/almost perfect correlation.

Statistical significance was set at p < 0.05, with further gradations for high significance (p < 0.01 and p < 0.001).

Risk assessment. Relative risk (RR) and odds ratio (OR) were calculated to estimate the association between JIA and cardiovascular risk factors, specifically hyperhomocysteinemia, hypercholesterolemia, and hypertriglyceridemia.

The RR was computed based on the 2x2 contingency table:

 

Outcome+

Outcome-

Total

Exposed (JIA)

a

b

a+b

Unexposed

c

d

c+d

Risk in exposed (JIA) group: P1 = a/a+b

Risk in unexposed (control) group: P0 =c/c+d

Relative Risk (RR): RR=P1/​P1​0=a/a+b/c/c+d​​= a(c+d)​/ c(a+b)

 

Confidence intervals (CI) for the relative risk (RR) were calculated using the formula:

CI=RR×(1±z⋅SE)

where:

  • RR= relative risk,
  • z=1.96 for 95% confidence,
  • SE = standard error of the RR, which was derived from the chi-square distribution or 2×2 table counts.

Interpretation criteria were:

  • RR > 1 with CI excluding 1 indicates a positive association (risk factor),

  • RR = 1 suggests no effect,

  • RR < 1 with CI excluding 1 indicates a protective factor,

  • If CI includes 1, the factor is considered indifferent.

Odds ratios were interpreted as follows:

  • OR ≈ 1 indicates no association,

  • OR > 1 indicates a positive correlation, suggesting causality,

  • OR < 1 indicates a protective effect.

The required sample size was calculated using the formula incorporating expected prevalence rates (Po = 45% from literature, P1 = 80% anticipated in study), power (90%), significance level (95%), and an estimated 10% attrition rate.

Results

Participant demographics. The study population of children with juvenile idiopathic arthritis (JIA) was stratified by age and gender to better characterize the sample distribution. Among the 90 children with JIA, the following distribution was observed:

  • Ages 6-8 years: 2 girls (4.4%) and 3 boys (6.6%),

  • Ages 9-11 years: 4 girls (9%) and 4 boys (9%),

  • Ages 12-17 years: 24 girls (53.3%) and 8 boys (17.7%).

This indicates a higher prevalence of older girls (12-17 years) in the JIA cohort, consistent with known gender and age patterns in autoimmune diseases, where adolescent females are often more affected.

Dyslipidemia as a cardiovascular risk factor in JIA. Dyslipidemia, characterized by abnormalities in lipid metabolism, is a well-recognized cardiovascular risk factor and was assessed through comprehensive lipid profiling (lipidogram) in all participants. The lipidogram included measurements of total cholesterol (TC) and triglycerides (TG), performed on both the JIA group (n = 90) and the control group (n = 125).

Total cholesterol levels. Children diagnosed with JIA exhibited significantly elevated total cholesterol levels compared to control group:

  • The mean total cholesterol concentration in the JIA group was 5.3 ± 0.11 mmol/L, with values ranging from 3.2 mmol/L to 7.9 mmol/L.

  • In contrast, the control group had a mean total cholesterol level of 4.7 ± 0.05 mmol/L, with a range of 3.47 mmol/L to 6.10 mmol/L.

The difference between these groups was statistically significant (F = 28.286, p < 0.001), indicating that children with JIA have a higher burden of hypercholesterolemia. The threshold for elevated cholesterol was set at >5.2 mmol/L, consistent with clinical guidelines for cardiovascular risk.

Triglyceride levels. In contrast to total cholesterol, no statistically significant difference was observed in triglyceride levels between children with JIA and the control group:

  • The mean triglyceride level in the JIA group was 1.38 ± 0.05 mmol/L, with individual values ranging from 0.57 mmol/L to 3.97 mmol/L.

  • The control group had a mean triglyceride level of 1.41 ± 0.02 mmol/L, ranging from 0.75 mmol/L to 2.15 mmol/L (Tab.1). 

Statistical analysis yielded a non-significant p-value (p > 0.05), indicating comparable triglyceride levels between the two groups.

 

Table 1. Mean lipidogram values in children with JIA (group 1), compared to the control group (group 2)

Indices

 

 

Group 1 (90 children)

Group 2 (125 children)

F

p

Mean value ± SD

Variation intervals

Mean value ± SD

Variation intervals

Total cholesterol, mmol/l

5.34 ± 0.11

3.20-7.90

4.70 ± 0.05

3.47-6.10

28.286

<0.001**

Triglycerides, mmol/l

1.38 ± 0.05

0.57-3.97

1.41 ± 0.02

0.75 – 2.15

0.169

> 0.05

Note: JIA – Juvenile Idiopathic Arthritis, Values are presented as mean ± standard deviation for numerical data; SD – standard deviation; **- p<0.001 – considered significant; p>0.05 – considered insignificant

These findings suggest that total cholesterol, but not triglycerides, is significantly elevated in children with JIA compared to healthy peers, highlighting hypercholesterolemia as an important cardiovascular risk factor in this population. This elevation may contribute to the increased cardiovascular morbidity associated with chronic inflammation in JIA, necessitating regular lipid monitoring and early interventions targeting cholesterol management.
The prevalence of hypercholesterolemia was significantly higher in in children with JIA than in the control group: 58 children (64.4%) vs. 36 children (28.8%), χ2 = 27.019, gl = 1, p<0.001 (Fig.1).
Increased TG values (TG > 1.9 mmol/l) were observed in 13 children (14.4%) from the JIA group and in 9 children (7.2%) from the control group (p > 0.05).

Fig. 1 Lipidogram results in children with JIA compared to the control group

Note: JIA – Juvenile Idiopathic Arthritis Group 1 – children with juvenile idiopathic arthritis; Group 2 – children from the control group; **- p<0.01, statistically significant value

Approximately 50% of patients with cardiovascular disease exhibit hyperhomocysteinemia [37]. Therefore, the study aimed to analyze homocysteine as a non-traditional cardiovascular risk factor. Hcy levels were assessed in 90 children with JIA and in 95 children from the control group. The mean value of hyperhomocysteinemia in children with JIA was 14.69 ± 0.61 mmol/l (minimum value – 2.50 mmol/l, maximum value – 29.50 mmol/l) and 9.43 ± 0.29 mmol/l (minimum value – 2.50 mmol/l, maximum value – 16.20 mmol/l) in control group (Tab. 2).

Table 2. Mean values of homocysteine in children with JIA compared to the control group

Parameter

Group 1 (90 children)

Group 2 (95 children)

F

p

Mean value ± SD

Variation intervals

Mean value ± SD

Variation intervals

Homocysteine,

mmol/l

14.69 ± 0.61

 

2.50-29.50

9.43 ± 0.29

2.50-16.20

61.889

< 0.001**

Note: JIA – Juvenile Idiopathic Arthritis, values are presented as mean ± standard deviation for numerical data; ** - p<0.01, considered statistically significant; SD – standard deviation; Group 1 – children with juvenile idiopathic arthritis; Group 2 – children from the control group

In children with JIA, significantly increased values of homocysteine (Hcy > 12 mmol/l) were found in 61 children (67.7%), compared to only in 15 children (15.78%) from the control group (where χ2 = 51.328, gl = 1, p< 0.001).
Among the children included in the study, hyperhomocysteinemia was observed in 67.8% of cases (61 children), with 40 (65.6%) being girls and 21 (34.4%) being boys, compared to 32.2% of cases (29 children) with normal homocysteine values (Fig. 2).
Following this analysis, it can be concluded that patients with JIA exhibit an increased risk of hyperhomocysteinemia compared to the control group. 

Fig. 2 Comparative analysis of homocysteine in children with JIA and the control group

Note: JIA – Juvenile Idiopathic Arthritis, Group 1  children with juvenile idiopathic arthritis; Group 2 – children from the control group; ** - p<0.001, statistically significant value

The relative risk (RR) was calculated for the following parameters: homocysteine, total cholesterol, and triglycerides, using the "2x2 Table" and calculating the required indicators with the interpretation of the obtained results.
According to the study results, a relative risk (RR) of 3.0 was obtained. When the relative risk has values greater than 1, it indicates a correlation between the risk factor and the occurrence of the disease. This suggests that the risk factor could be a cause of the disease onset in those exposed rather than in unexposed individuals. Therefore, it can be concluded that patients with juvenile idiopathic arthritis have a threefold increased risk of hyperhomocysteinemia compared to subjects in the control group (Tab. 3).
It was also essential to calculate the Odds Ratio (OR) between the rate of disease in those exposed (children with JIA) and the rate of disease in unexposed ones (healthy children). In this case, OR was 11.2, indicating that children's exposure to JIA influences hyperhomocysteinemia. An OR value significantly greater than 1 suggests a strong association between the exposure and the outcome.

Table 3. Assessment of the risk of hyperhomocysteinemia in children with JIA compared to unexposed children

 

Children with JIA

Children from the control group

Total

Exposed

61

15

76

Unexposed

29

80

109

Total

90

95

185

Note: JIA – Juvenile Idiopathic Arthritis, exposed, unexposed, increased risk identified

The relative risk (RR) was also calculated for hypercholesterolemia. Based on the obtained results, patients with JIA, have a 2.3-fold increased risk of developing hypercholesterolemia compared to the unexposed ones (RR = 2.3).
The Odds Ratio (OR) between the odds of disease in exposed children (JIA patients) and the odds of disease in unexposed individuals was found to be 4.5. Thus, it can be concluded that children's exposure to JIA influences the increase in total cholesterol (hypercholesterolemia), showing a moderate correlation trend between them (Tab. 4).

Table 4. Assessment of the relative risk of hypercholesterolemia in children with JIA vs. unexposed children.

 

Children with JIA

Children from the control group

Total

Exposed

58

36

94

Unexposed

32

89

121

Total

90

125

215

Note: JIA – Juvenile Idiopathic Arthritis, exposed, unexposed, increased risk identified

The relative risk (RR) was also calculated for hypertriglyceridemia for the exposed subjects (children with JIA) and unexposed subjects (control group). The calculations yielded a relative risk of 1.5, indicating that patients with JIA have a relatively low risk of developing hypertriglyceridemia compared to unexposed subjects. However, there is a slight trend of correlation between JIA and increased triglyceride values.
Furthermore, similar results were also obtained after calculating the Odds Ratio between the rate of disease in exposed children (JIA patients) and the rate of disease in unexposed individuals, where the Odds Ratio was found to be 4.5. Thus, it can be concluded that children’s exposure to JIA slightly influences the increase in triglycerides (hypertriglyceridemia), showing a slight correlation tendency between them (Tab. 5).

Table 5. The relative risk of hypertriglyceridemia in children with JIA versus unexposed children

 

Children with JIA

Children from the control group

Total

Exposed

13

9

22

Unexposed

77

115

192

Total

90

124

214

Note: JIA – JIA – Juvenile Idiopathic Arthritis, exposed, unexposed, slight correlation

Discussion

The present study contributes to the growing body of evidence indicating that children with juvenile idiopathic arthritis (JIA) may present with dysregulation of lipid metabolism. Our results demonstrated elevated levels of total cholesterol (TC) and a trend toward increased triglycerides (TG) in JIA patients compared to healthy controls. These findings are consistent with previous studies, such as those by Urban et al. [34] and Goncalves et al. [27], which also reported increased concentrations of TC and TG in children with JIA at disease onset. These alterations in lipid profile occurred despite the absence of clinical signs of obesity, suggesting that systemic inflammation may independently influence lipid metabolism in pediatric rheumatic diseases.

Conversely, not all studies have reported consistent findings. Bakkaloglu et al. [35] identified elevated TC levels without a corresponding increase in TG, while Maher et al. [11] did not observe significant lipid abnormalities in JIA patients. These discrepancies could be attributed to heterogeneity in study populations, disease duration, treatment regimens, or methodological differences. Moreover, Semb et al. and Skare et al. [36, 37] reported that lipid profile changes may be modulated by disease activity, highlighting the importance of considering inflammatory status when interpreting metabolic parameters.

The study also assessed plasma homocysteine (Hcy) levels, given the well-documented role of hyperhomocysteinemia as an independent cardiovascular risk factor. Our findings revealed elevated Hcy levels in children with JIA compared to controls, supporting earlier observations by Huemer et al. [31]. Elevated plasma Hcy concentrations have been associated with endothelial dysfunction, smooth muscle cell proliferation, oxidative stress, and thrombogenesis – all of which contribute to the pathogenesis of atherosclerosis [25, 38]. Meta-analyses have shown that a 5 μmol/L increase in plasma Hcy may result in a 60-80% increased risk of coronary heart disease [39, 40].

Despite the clear association between Hcy and cardiovascular risk in adults, its relevance in pediatric autoimmune diseases remains under investigation. In our study, no significant correlations were found between Hcy and inflammatory markers, disease activity, or lipid parameters – findings that align with those of Goncalves et al. [27] and Friso et al. [41]. However, other studies have reported differing associations; for instance, Chiang et al. [42] found a positive correlation between erythrocyte sedimentation rate (ESR) and Hcy, while Annan et al. [43] reported an association between Hcy and TG, but not TC. These inconsistencies underscore the multifactorial etiology of hyperhomocysteinemia, which is influenced by genetic predisposition (e.g., MTHFR polymorphisms), drug therapy (notably methotrexate), diet, and systemic inflammation [18, 32].

Treatment with methotrexate (MTX), a cornerstone in JIA management, has been implicated in elevated Hcy levels. Van Ede et al. [44] demonstrated that MTX therapy may increase plasma Hcy concentrations, and Goncalves et al. [27] observed elevated Hcy in four out of five children undergoing MTX treatment. These findings raise important considerations regarding the balance between therapeutic efficacy and cardiovascular risk, especially in long-term treatment regimens.

While some studies suggest that hyperhomocysteinemia may be a consequence of chronic inflammation, others propose that it may actively contribute to the inflammatory process [45, 46]. This bidirectional relationship could account for the complex and often contradictory findings in the literature. Furthermore, the role of exogenous factors such as reduced mobility, nutritional deficiencies, and prolonged disease course cannot be overlooked.

Importantly, several interventional studies have demonstrated that folic acid supplementation can effectively reduce plasma Hcy levels and improve endothelial function in patients with hyperhomocysteinemia [47, 48]. This positions folic acid as a potential preventive strategy in JIA patients at elevated cardiovascular risk, although large-scale, longitudinal trials are required to establish definitive clinical guidelines.

This study has several limitations that should be acknowledged. First, its cross-sectional design precludes conclusions regarding causality or temporal relationships between inflammation, lipid metabolism, and homocysteine levels. Second, genetic factors such as MTHFR polymorphisms were not assessed, which may influence individual susceptibility to hyperhomocysteinemia. Third, dietary intake, physical activity, and nutritional status were not controlled, potentially introducing confounding variables. Furthermore, the sample size may have limited the statistical power to detect subtle associations or stratify findings by disease subtype or treatment exposure.

Future research should aim to address these limitations through well-designed, multicenter, longitudinal studies that include genetic profiling, dietary assessments, and standardized disease activity scores. Investigations into the impact of folic acid and vitamin B supplementation on cardiovascular markers in JIA are also warranted. Additionally, advanced imaging techniques, such as carotid intima-media thickness and endothelial function testing, may offer further insight into the subclinical cardiovascular changes associated with hyperhomocysteinemia and dyslipidemia in this population.

The present study adds to the growing evidence that children with JIA are at increased risk for metabolic alterations, including dyslipidemia and hyperhomocysteinemia, which may contribute to long-term cardiovascular morbidity. Although some inconsistencies exist in the literature, the findings support the need for early cardiovascular risk assessment and consideration of nutritional interventions. Further research is needed to clarify the mechanisms linking chronic inflammation, homocysteine metabolism, and lipid abnormalities, and to develop evidence-based strategies for cardiovascular risk reduction in pediatric rheumatology.

Conclusions

This study reinforces the association between juvenile idiopathic arthritis (JIA) and alterations in lipid metabolism and homocysteine levels, underscoring the potential cardiovascular risk in affected children. While variability exists across published findings, our results support the hypothesis that systemic inflammation and treatment-related factors may contribute to metabolic disturbances in JIA. The added value of this research lies in its integrated evaluation of both lipid profile and homocysteine levels in a pediatric inflammatory context, highlighting the importance of early cardiovascular risk assessment and the need for tailored preventive strategies in clinical practice.

Competing interests 

None declared. 

Authors’ contributions

LB was responsible for data collection, questionnaire administration, and statistical analysis. AC contributed to data collection and manuscript drafting. NR served as the project coordinator and supervised the overall research. All authors read and approved the final manuscript. 

Ethics approval

The research project was approved by the Research Ethics Committee of Nicolae Testemițanu State University of Medicine and Pharmacy (Minutes no. 49 from 08.06.2015).

Patient consent 

Obtained.

Acknowledgements and funding

No external funding. 

Provenance and peer review

Not commissioned, externally peer reviewed.

Authors’ ORCID IDs

Livia Bogonovschi – https://orcid.org/0000-0001-9713-5566
Angela Cracea – https://orcid.org/0000-0002-5283-1178
Ninel Revenco – https://orcid.org/0000-0002-5229-7841

References 

  1. Thomson W, Barrett JH, Donn R, et al. Juvenile idiopathic arthritis classified by the ILAR criteria: HLA associations in UK patients. Rheumatology (Oxford). 2002;41(10):1183-1189. doi: 10.1093/rheumatology/41.10.1183.

  2. Sule S, Fontaine K. Metabolic syndrome in adults with a history of juvenile arthritis. Open Access Rheumatol. 2018;10:67-72. doi: 10.2147/OARRR.S157229.

  3. Aranda-Valera IC, De la Rosa IA, Roldán-Molina R, et al. Subclinical cardiovascular risk signs in adults with juvenile idiopathic arthritis in sustained remission. Paediatr Rheumatol. 2020;18:1-12. doi: 10.1186/s12969-020-00448-3.

  4. Momin M, Jia J, Fan F, et al. Relationship between plasma homocysteine level and lipid profiles in a community-based Chinese population. Lipids Health Dis. 2017;16:54. doi: 10.1186/s12944-017-0441-6.

  5. Del Giudice E, Dilillo A, Tromba L, et al. Aortic, carotid intima-media thickness and flow- mediated dilation as markers of early atherosclerosis in a cohort of paediatric patients with rheumatic diseases. Clin Rheumatol. 2018;37(6):1675-1682. doi: 10.1007/s10067-017-3705-7.

  6. Boyer JF, Bongard V, Cantagrel A, et al. Link between traditional cardiovascular risk factors and inflammation in patients with early arthritis: results from a French multicentre cohort. Arthritis Care Res (Hoboken). 2012;64(6):872-880. doi: 10.1002/acr.21623.

  7. Panfile E, Ivanov V, Ştirbul A. Ateroscleroza şi procesul inflamator imun [Atherosclerosis and the immune inflammatory process]. Bull Acad Sci Mold. Med Sci. 2010;(2):132-136. Romanian.

  8. Toms TE, Panoulas VF, Douglas KMJ, et al. Are lipid ratios less susceptible to change with systemic inflammation than individual lipid components in patients with rheumatoid arthritis? Angiology. 2011;62(2):167-175. doi: 10.1177/0003319710373749.

  9. Ahmed S, Jacob B, Carsons SE, et al. Treatment of cardiovascular disease in rheumatoid arthritis: a complex challenge with increased atherosclerotic risk. Pharmaceuticals (Basel). 2021;15(1):11. doi: 10.3390/ph15010011.

  10. Liao KP, Solomon DH. Inflammation, disease-modifying antirheumatic drugs, lipids, and cardiovascular risk in rheumatoid arthritis. Arthritis Rheumatol. 2015;67(2):327-329. doi: 10.1002/art.38925.

  11. Maher SE, Abdel Raheem M, Moness HM. Subclinical atherosclerosis in children with rheumatologic diseases in Minia Children University Hospital, Egypt. Int J Pediatr. 2019;7(3):9159-9167. https://doi.org/10.22038/ijp.2018.36402.3174.

  12. Liao KP, Cai T, Gainer VS, et al. Lipid and lipoprotein levels and trend in rheumatoid arthritis compared to the general population. Arthritis Care Res (Hoboken). 2013;65(12):2046-2050. doi: 10.1002/acr.22091.

  13. Liao KP, Liu J, Lu B, et al. Association between lipid levels and major adverse cardiovascular events in rheumatoid arthritis compared to non-rheumatoid arthritis patients. Arthritis Rheumatol. 2015;67(8):2004-2010. doi: 10.1002/art.39165.

  14. Marangoni RG, Hayata AL, Borba EF, et al. Decreased high-density lipoprotein cholesterol levels in polyarticular juvenile idiopathic arthritis. Clinics. 2011;66(9):1549-52. doi: 10.1590/s1807-59322011000900007.

  15. Zota I, Lîsîi L, Munteanu A. Corelaţia patogenetică între sindromul metabolic şi ateroscleroza [Pathogenetic correlation between metabolic syndrome and atherosclerosis]. In: Scientific Annals of Nicolae Testemițanu SUMPh. Chisinau; 2009. Vol. 1. p. 41-48. Romanian.

  16. Alam MF, Islam MM, Haque M, et al. Serum homocysteine level in children with Juvenile Idiopathic Arthritis. Bangladesh Med Res Counc Bull. 2020;46:12-16. doi: 10.3329/bmrcb.v46i1.47463

  17. Anestiadi V, Zota E, Groppa S, et al. Unele aspecte în patogenia aterosclerozei [Some aspects in the pathogenesis of atherosclerosis]. Bull Acad Sci Mold. Med Sci. 2005;(2):37-43. Romanian.

  18. Ganguly P, Alam SF. Role of homocysteine in the development of cardiovascular disease. Nutr J. 2015;14:6. doi: 10.1186/1475-2891-14-6.

  19. McCully KS. Homocysteine, vitamins, and vascular disease prevention. Am J Clin Nutr. 2007;86(5):1563-1568. doi: 10.1093/ajcn/86.5.1563S.

  20. Bivol D. Afectarea sistemului cardiovascular la pacienții cu artrită reumatoidă = Cardiovascular disease in rheumatoid arthritis pacients. In: Scientific abstracts of students, residents and young researchers of Nicolae Testemițanu SUMPh. Chisinau: Medicina; 2018. p. 126.

  21. Holven KB, Aukrust P, Retterstol K, et al. Increased levels of C-reactive protein and interleukin-6 in hyperhomocysteinemic subjects. Scand J Clin Lab Invest. 2006;66(1):45-54. doi: 10.1080/00335510500429821.

  22. Du Plessis JP, Nienaber-Rousseau C, Lammertyn L, et al. The relationship of circulating homocysteine with fibrinogen, blood pressure, and other cardiovascular measures in African adolescents. J Pediatr. 2021;234:158-163. doi: 10.1016/j.jpeds.2021.03.034.

  23. Chori BS, Danladi B, Inyang BA, et al. Hyperhomocysteinemia and its relations to conventional risk factors for cardiovascular diseases in adult Nigerians: the REMAH study. BMC Cardiovasc Disord. 2021;21(1):102. doi: 10.1186/s12872-021-01913-x.

  24. Dutca G, Groppa S. Homocisteina – factor de risc în apariţia accidentului vascular cerebral acut şi corecţia ei medicamentoasă [Homocysteine - the risk factors in the apperance of acute cerebral vascular stroke]. In: Scientific Annals of Nicolae Testemițanu SUMPh. Chisinau; 2008. Vol. 3. p. 354-356. Romanian.

  25. Lazzerini PE, Capecchi PL, Selvi E, et al. Hyperhomocysteinemia, inflammation and autoimmunity. Autoimmun Rev. 2007;6(7):503-509. doi: 10.1016/j.autrev.2007.03.008.

  26. Wu H, Wang B, Ban Q, et al. Association of total homocysteine with blood pressure in a general population of Chinese adults: a cross-sectional study in Jiangsu province, China. BMJ Open. 2018;8(6):e021103. doi: 10.1136/bmjopen-2017-021103.

  27. Gonçalves M, D’Almeida V, Guerra-Shinohara EM, et al. Homocysteine and lipid profile in children with Juvenile Idiopathic Arthritis. Pediatr Rheumatol. 2007;5:2. doi: 10.1186/1546-0096-5-2.

  28. Drînga E. Factorii de risc minori pentru ateroscleroză = Minor risk factors for atherosclerosis. In: Scientific abstracts of students, residents and young researchers of Nicolae Testemițanu SUMPh. Chisinau: Medicina; 2019. p. 22. 

  29. Bichir-Thoreac L. Homocisteina factor de risc independent în hipertensiunea arterială la copii [Homocysteine as an independent risk factor in arterial hypertension at children]. Bull Acad Sci Mold. Med Sci. 2016;(2):169-171. Romanian.

  30. Lai WKC, Kan MY. Homocysteine-induced endothelial dysfunction. Ann Nutr Metab. 2015;67(1):1-12. doi: 10.1159/000437098.

  31. Huemer M, Fodinger M, Huemer C, et al. Hyperhomocysteinemia in children with juvenile idiopathic arthritis is not influenced by methotrexate treatment and folic acid supplementation: a pilot study. Clin Exp Rheumatol. 2003;21(2):249-55.

  32. de Oliveira Leite L, Costa Dias Pitangueira J, Ferreira Damascena N, et al. Homocysteine levels and cardiovascular risk factors in children and adolescents: systematic review and meta-analysis. Nutr Rev. 2021;79(9):1067-1078. doi: 10.1093/nutrit/nuaa116.

  33. Aronov A, Kim YJ, Sweiss NJ, et al. Cardiovascular disease risk evaluation impact in patients with rheumatoid arthritis. Am J Prev Cardiol. 2022;12:100380. doi: 10.1016/j.ajpc.2022.100380.

  34. Urban M, Pietrewicz E, Górska A, Głowińska B. [Lipids and homocysteine level in juvenile idiopathic arthritis]. Pol Merkur Lekarski. 2004;17(99)235-238. Polish.

  35. Bakkaloglu A, Kirel B, Ozen S, et al. Plasma lipids and lipoproteins in juvenile chronic arthritis. Clin Rheumatol. 1996;15(4):341-345. doi: 10.1007/BF02230355.

  36. Semb AG, Holme I, Kvien TK, et al. Intensive lipid lowering in patients with rheumatoid arthritis and previous myocardial infarction: An explorative analysis from the incremental decrease in endpoints through aggressive lipid lowering (IDEAL) trial. Rheumatology (Oxford). 2011;50(2):324-329. doi: 10.1093/rheumatology/keq295.

  37. Skare TL, Silva MB, Negreiros P. Lipid profile in adult patients with idiopathic juvenile arthritis. Rev Bras Rheumatol. 2013;53(4):371-374.

  38. McCully KS. Vascular pathology of homocysteinemia: implications for the pathogenesis of arteriosclerosis. Am J Pathol. 1969;56(1):111-28.

  39. Dinavahi R, Falkner B. Relationship of homocysteine with cardiovascular disease and blood pressure. J Clinical Hypertension. 2004;6(9):494-8. doi: 10.1111/j.1524-6175.2004.03643.x.

  40. Fan R, Zhang A, Zhong F. Association between homocysteine levels and all-cause mortality: a dose-response meta-analysis of prospective studies. Sci Rep. 2017;7(1):4769. doi: 10.1038/s41598-017-05205-3.

  41. Friso S, Jacques PF, Wilson PW, et al. Low circulating vitamin B6 is associated with elevation of the inflammation marker C-reactive protein independently of plasma homocysteine levels. Circulation. 2001;103(23):2788-2791. doi: 10.1161/01.cir.103.23.2788.

  42. Chiang PK, Gordon RK, Tal J, et al. S-Adenosylmethionine and methylation. FASEB J. 1996;10(4):471-480.

  43. Anan F, Masaki T, Umeno Y, et al. Correlations between homocysteine levels and atherosclerosis in Japanese type 2 diabetic patients. Metabolism. 2007;56(10):1390-1395. doi: 10.1016/j.metabol.2007.05.010.

  44. Van Ede AE, Laan RFJM, Blom HJ, et al. Methotrexate in rheumatoid arthritis: An update with focus on mechanisms involved in toxicity. Semin Arthritis Rheum. 1998;27(5):277-292. doi: 10.1016/s0049-0172(98)80049-8.

  45. Mansoor MA, Seljeflot I, Arnesen H, et al. Endothelial cell adhesion molecules in healthy adults during acute hyperhomocysteinemia and mild hypertriglyceridemia. Clin Biochem. 2004;37(5):408-414. doi: 10.1016/j.clinbiochem.2004.01.003.

  46. Li M, Chen J, Li YS, et al. Folic acid reduces adhesion molecules VCAM-1 expression in aortic of rats with hyperhomocysteinemia. Int J Cardiol. 2006;106(2):285-288. doi: 10.1016/j.ijcard.2005.07.006.

  47. Yi X, Zhou Y, Jiang D, et al. Efficacy of folic acid supplementation on endothelial function and plasma homocysteine concentration in coronary artery disease: a meta- analysis of randomized controlled trials. Exp Ther Med. 2014;7(5):1100-10. doi: 10.3892/etm.2014.1553.

  48. Balkarli A, Tekintürk S, Kaptanoğlu B, et al. Relationship between plasma levels of homocysteine and pro-inflammatory cytokines in patients with rheumatoid arthritis. J Clin Exp Invest. 2016;7(2):163-167. doi: 10.5799/ahinjs.01.2016.02.0590.

More articles

Research The Tirone David procedure in acute type A aortic dissection – when, how, and why? The experience of Professor Dr. George I.M. Georgescu Institute of Cardiovascular Diseases
Grigore Tinică1,2,3, Mihail Enache1,2, Andrei Țărus1,2, Silviu Stoleriu1,2, Alberto Bacușcă1,2
https://doi.org/10.52645/MJHS.2025.3.01
Acute type A aortic dissection represents a life-threatening cardiovascular emergency with catastrophic natural history and extremely high mortality in the absence of prompt surgical intervention. Over the last decades, surgical management has evolved from supracoronary replacement and composite root replacement (Bentall procedure) towards valve-sparing strategies, among which the Tirone David reimplantation procedure has gained increasing acceptance.
Research Development of the facial nerve and its specific features
Angela Babuci1*, Zinovia Zorina1, Ilia Catereniuc1, Nataliya Trushel2, Anastasia Bendelic1, Nadia Ostahi1, Sofia Lehtman3
https://doi.org/10.52645/MJHS.2025.3.02
The data reported in the specialty literature on the embryogenesis of the facial nerve mainly refer to the initial stages of its development. Nevertheless, the intrauterine development of the facial nerve is a complex and insightful process, characterized by a range of peculiarities. The goal of our study was to highlight the specific developmental features of the facial nerve for a better understanding of its morphology in adults
Research Variants of the common carotid artery branching patterns
Nadia Ostahi*, Angela Babuci, Ilia Catereniuc, Anastasia Bendelic, Zinovia Zorina
https://doi.org/10.52645/MJHS.2025.3.03
The common carotid artery is the main source of blood supply to the head and neck regions. Its branching patterns are of great interest in terms of both anatomical and clinical significance. Variability of the common carotid artery can influence the planning of vascular, endovascular and oncological interventions in the head and neck regions, to avoid vessel injuries as well as intra-operative and postoperative complications.
Research Diastolic dysfunction and myocardial ischemia in TAVI patients
Marcel Abraș1,2*, Ecaterina Pasat2, Maria-Magdalena Vicol2, Cătălina Ciorici1, Daniela Bursacovschi2
https://doi.org/10.52645/MJHS.2025.3.04
Severe aortic stenosis and ischemic coronary artery disease are frequently associated in elderly patients, adding complexity to interventional management. Diastolic dysfunction, a marker of myocardial impairment and elevated filling pressures, may influence prognosis after transcatheter aortic valve implantation (TAVI), particularly in the presence of concomitant coronary pathology. The aim of the study was to analyze the interaction between severe aortic valve stenosis, left ventricular diastolic dysfunction, and coronary ischemia in elderly patients with complex cardiovascular disease.
Research Hiatal surface area measurement – a useful tool during laparoscopic antireflux surgery
Serghei Cumpătă1*, Vasile Guzun2, Vladimir Iacub1, Evghenii Guțu1
https://doi.org/10.52645/MJHS.2025.3.05
Accurate measurement of the esophageal hiatus is essential during laparoscopic repair of hiatal hernia, especially in patients with gastroesophageal reflux disease. Traditional intraoperative assessments are often subjective and inconsistent. This study proposes a novel, objective method for measuring the hiatal surface area using digital photography and open-source image analysis software.
Research Targeting the biochemical signature of age-related macular degeneration: a preliminary study of potential diagnostic and prognostic biomarkers
Ecaterina Pavlovschi*, Angela Untila, Svetlana Protopop, Ala Ambros, Olga Tagadiuc
https://doi.org/10.52645/MJHS.2025.3.07
Age-related macular degeneration is a multifactorial, polyetiological condition, affecting individuals over the age of 50, primarily characterized by progressive and irreversible loss of central vision. In the pursuit of a deeper understanding of its etiopathogenesis, risk factors, associated biomarkers, and diagnostic metabolites, the omics approach plays an essential role. The primary objective of this study was to evaluate selected omics biomarkers along with hematological and clinical data and to establish their correlations with macular degeneration.
Research Community-acquired pneumonia in chronic heart failure: approach through the oxidative stress and systemic inflammation
Virginia Cascaval1*, Tatiana Dumitras1, Diana Fetco-Mereuta1, Sergiu Matcovschi1, Livi Grib2
https://doi.org/10.52645/MJHS.2025.3.08
Diagnosing community-acquired pneumonia in patients with chronic heart failure can be challenging. Oxidative stress and inflammatory response play an important role in the development and diagnosis of community-acquired pneumonia and are also involved in many cardiovascular diseases, including chronic heart failure.
Research Natural course of inflammatory cardiomyopathies
Andrei Braniște1, Vladimir Naumov2, Valeriu Cobeț1, Tudor Braniște3*
https://doi.org/10.52645/MJHS.2025.3.10
Refractory heart failure with a poor prognosis is a key feature of dilated cardiomyopathy. Inflammatory cardiomyopathy, often diagnosed via in vivo subendomyocardial biopsy, is considered a potential precursor to dilated cardiomyopathy. The Dallas criteria, applied to morphometric and electron microscopic studies of biopsy samples, are essential for differentiating the features of various inflammatory stages. Building upon these established diagnostic principles, our study integrates immunohistological analysis with measurements of intramyocardial indices and intracardiac hemodynamics.
Research Lipid profile in young people
Diana Chiosa1*, Rodica Ignat1, Alexei Levițchi2, Ghenadie Curocichin1,2
https://doi.org/10.52645/MJHS.2025.3.11
Metabolic risk factors for non-communicable chronic diseases develop from an early age, while the clinical manifestations of cardiovascular diseases associated with these risk factors appear later in life. Dyslipidemia is a modifiable risk factor for cardiovascular diseases. The purpose of the study was to evaluate the lipid profile in young people as an early risk factor for cardiovascular disease.
Research Sarcopenia and frailty: risk profiles in patients with chronic heart failure
Anastasia Ivanes1*, Lucia Mazur-Nicorici1, Virginia Șalaru2, Livi Grib1, Snejana Vetrilă1
https://doi.org/10.52645/MJHS.2025.3.13
Patients with heart failure frequently present with varying degrees of skeletal muscle dysfunction, from early fatigue to sarcopenia and cachexia. Sarcopenia, defined as the loss of muscle mass and/or function, contributes to the physical dimension of frailty. Both conditions are associated with adverse outcomes in heart failure.
Research Osteocalcin and metabolic dysfunction in young women with obesity
Carolina Piterschi1,2 ⃰, Lorina Vudu1,2
https://doi.org/10.52645/MJHS.2025.3.14
Osteocalcin, a bone-derived hormone, has emerged as a potential regulator of energy metabolism, with roles in insulin sensitivity, glucose homeostasis, and lipid metabolism. Although an inverse association between osteocalcin and body mass index has been previously reported, data on its link with metabolic parameters in young, otherwise healthy women with obesity remain limited.
Research Targeting redox balance: antioxidant effects of thiosemicarbazones on human peripheral blood
Valeriana Pantea1, Ecaterina Pavlovschi1,2*, Silvia Stratulat2, Aurelian Gulea3, Olga Tagadiuc2, Valentin Gudumac1
https://doi.org/10.52645/MJHS.2025.3.16
Thiosemicarbazones represent a class of organic compounds with well-documented pharmacological properties, including antitumor, antimicrobial, and antiviral activities. Contemporary research highlights their role in modulating cellular redox equilibrium through antioxidant pathway regulation.
Research The effectiveness of using a checklist in prehospital stroke interventions in the Republic of Moldova
Natalia Catanoi1,2, Mihail Peștereanu1*, Larisa Rezneac1,2, Natalia Mocanu1
https://doi.org/10.52645/MJHS.2025.3.17
Stroke remains a major cause of mortality and disability in Moldova and globally. Rapid prehospital intervention is critical for improving outcomes. The adoption of standardized protocols and checklists has enhanced the efficiency of emergency medical services (EMS), especially in stroke recognition and initial management.
Research Identifying core stigmatizing beliefs about depression: results from an item-level statistical approach
Jana Chihai1, Andrei Esanu1*, Igor Nastas1,2, Inga Deliv1, Alina Bologan1, Cornelia Adeola1, Radislav Coșulean2, Madalina Bivol2, Mihaela Belous2, Dorin Jelaga1, Romil Popescu1
https://doi.org/10.52645/MJHS.2025.3.18
Stigma surrounding depression continues to be a major barrier to treatment, social inclusion, and recovery. While general attitudes toward mental illness have been widely studied, fewer investigations have focused on the specific beliefs that drive stigma toward individuals with depression in a low- and middle-income country (LMIC) in Eastern European settings, particularly in Moldova.
Research Comparative assessment of active compounds in Solidago species from the flora of the Republic of Moldova
Cornelia Fursenco1,2*, Violeta Alexandra Ion3, Tatiana Calalb1,2, Livia Uncu2,
https://doi.org/10.52645/MJHS.2025.3.20
Solidago virgaurea (European goldenrod) and Solidago canadensis (Canadian goldenrod) are two plant species that have been extensively investigated for their complex phytochemical profiles, particularly represented by flavonoids, phenolic acids, saponins, and essential oils with notable antioxidant and anti-inflammatory properties.