Association between body composition and disease activity in rheumatoid arthritis. A systematic review

Effect of dietary interventions on nutritional status in patients with rheumatoid arthritis and spondyloarthritis - A systematic review and meta-analysis

BACKGROUND & AIM

Patients with rheumatoid arthritis (RA) and spondyloarthritis (SpA) have an increased risk of developing altered body composition, such as low muscle mass, and an increased risk of developing cardiovascular diseases (CVD). Thus, investigating how to improve body composition and CVD risk factors is a relevant topic to improve management of RA and SpA. The aim of this study was to identify dietary interventions that can improve body composition, as well as reduce CVD risk factors in RA and SpA.

METHODS

We searched the databases Medline, Embase and Cochrane. Duplicates were removed using Endnote and records were screened through Rayyan. The primary outcomes were muscle mass (kg) and fat mass (kg). Secondary outcomes were body weight (kg), body mass index (BMI: kg/m2), waist circumference (cm) and lipid profile (total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides, mmol/L).

RESULTS

A total of 4965 articles were identified, and 17 articles were included in this review, of which 15 were suitable for meta-analysis. We found a reduction in TC and LDL-C, (Mean difference, [95%CI]: -0.36, [-0.63, -0.10], I2 = 43%, and -0.20, [-0.35, -0.05], I2 = 0% respectively). Otherwise, no other significant effect was seen in either primary or secondary outcomes. The evidence was graded as moderate for TC and low for LDL-C.

CONCLUSION

Dietary interventions might reduce the levels of blood lipids, and consequently, the risk of cardiovascular diseases. However, body composition did not change significantly after a 2-4 month dietary intervention. Both short intervention period and lack of reliable methods to assess body composition are possible explanations for this finding. Further studies of longer duration are needed.

Juvenile idiopathic arthritis-associated genetic loci exhibit spatially constrained gene regulatory effects across multiple tissues and immune cell types

Juvenile idiopathic arthritis (JIA) is an autoimmune, inflammatory joint disease with complex genetic etiology. Previous GWAS have found many genetic loci associated with JIA. However, the biological mechanism behind JIA remains unknown mainly because most risk loci are located in non-coding genetic regions. Interestingly, increasing evidence has found that regulatory elements in the non-coding regions can regulate the expression of distant target genes through spatial (physical) interactions. Here, we used information on the 3D genome organization (Hi-C data) to identify target genes that physically interact with SNPs within JIA risk loci. Subsequent analysis of these SNP-gene pairs using data from tissue and immune cell type-specific expression quantitative trait loci (eQTL) databases allowed the identification of risk loci that regulate the expression of their target genes. In total, we identified 59 JIA-risk loci that regulate the expression of 210 target genes across diverse tissues and immune cell types. Functional annotation of spatial eQTLs within JIA risk loci identified significant overlap with gene regulatory elements (i.e., enhancers and transcription factor binding sites). We found target genes involved in immune-related pathways such as antigen processing and presentation (e.g., ERAP2, HLA class I and II), the release of pro-inflammatory cytokines (e.g., LTBR, TYK2), proliferation and differentiation of specific immune cell types (e.g., AURKA in Th17 cells), and genes involved in physiological mechanisms related to pathological joint inflammation (e.g., LRG1 in arteries). Notably, many of the tissues where JIA-risk loci act as spatial eQTLs are not classically considered central to JIA pathology. Overall, our findings highlight the potential tissue and immune cell type-specific regulatory changes contributing to JIA pathogenesis. Future integration of our data with clinical studies can contribute to the development of improved JIA therapy.

Adiposity is associated with expansion of the genus Dialister in rheumatoid arthritis patients

OBJECTIVE

To analyze the intestinal microbiota of patients with rheumatoid arthritis (RA) and obesity and a higher percentage of fatty tissue.

METHODS

Nested case-control study of 80 RA patients and 80 age and sex-matched controls. Obesity was defined as a body mass index ≥ 30, and body composition using dual-energy x-ray absorptiometry. The gut microbiota was analyzed using 16 S rRNA gene sequencing; bioinformatics analysis was performed using QIIME2 and PICRUSt. Other variables included averaged 28-joint Disease Activity Score (DAS28-ESR), cytokines and adipokines. Two multivariate were constructed with obesity and fat mass index (FMI).

RESULTS

Obesity was more frequent in RA patients than in controls (36.3 % vs 25.1 %; p = 0.026), as was a higher FMI value (mean [SE]=11.6 [3.9] vs 10.2 [3.9]; p = 0.032). Alpha and beta diversity analysis revealed differences in gut microbiota between RA patients with and without obesity. Dialister and Odoribacter were more abundant in RA patients with obesity than in RA patients without obesity, while the genus Clostridium was more abundant in RA patients without obesity. The factors associated with obesity in RA patients were age (OR [95 % CI], 1.09 [1.02-1.17]), mean DAS28-ESR (OR [95 % CI], 1.46 [1.12-1.67]), leptin levels (OR [95 % CI], 1.06 [1.01-1.10]), the genus Dialister (OR [95 % CI], 1.03 [1.01-1.07]), and the genus Clostridium (OR [95 % CI], 0.013 [0.00-0.36]). The associations observed for FMI were similar.

CONCLUSIONS

In patients with RA, obesity, and a higher percentage of fatty tissue, intestinal microbiota differed from that of controls and of the other patients. The genus Dialister was associated with obesity and FMI.

Hip BMD is associated with visceral fat change: a registry study of osteoporosis and sarcopenia

Background:

Osteoporosis increases the risk of fractures. Visceral fat is associated with cardiovascular disease (CVD). There is inadequate knowledge on the relationship between osteoporosis and visceral fat. The study aimed to evaluate the relationship between bone mineral density (BMD) and visceral fat mass in the elderly.

Methods:

This was a prospective cohort study. Subjects were enrolled from the Rheumatology Clinic. All subjects underwent baseline bone mineral density and body composition measurements using dual-energy X-ray absorptiometry.

Results:

A total of 321 patients including 288 females and 33 males were enrolled in this study. We followed up DEXA for 1 year for fat and muscle mass change and found that 162 (50.5%) had a decrease in fat mass, 129 (40.2%) had decreased visceral fat, and 138 (43%) had decreased muscle mass. Furthermore, we found that the baseline hip T score was correlated with visceral fat decrease. Using visceral fat decrease as the outcome, we found that hip T score could predict visceral fat loss: the higher the T score, the more visceral fat loss was found [ p < 0.001, OR: 1.6, CI: (1.3–2.1)].

Conclusion:

A high hip T score was associated with a future decrease in visceral fat, which may decrease the risk of atherosclerosis and CV risk. Therefore, evaluation of visceral fat may be useful for assessing CVD risk in patients with osteoporosis. Effective management of the risk of atherosclerosis and CVD is important in improving the life expectancy of these patients.

Adiposity Is Related to Inflammatory Disease Activity in Juvenile Idiopathic Arthritis

OBJECTIVE

To identify factors associated with the higher proportion of fatty tissue and overweight/obesity observed in patients with juvenile idiopathic arthritis (JIA).

PATIENTS AND METHODS

We performed a cross-sectional study of 80 JIA patients aged 4-15 years with 80 age- and sex-matched healthy controls. Body composition was assessed using dual-energy x-ray absorptiometry. The 27-joint Juvenile Arthritis Disease Activity score (JADAS27) was calculated. Two multivariate models were constructed to identify factors associated with overweight/obesity and fat mass index (FMI).

RESULTS

No differences were found between cases and controls in body mass index (BMI) or body composition. However, compared with controls, patients with a high inflammatory activity (JADAS27 > 4.2 for oligoarticular JIA or >8.5 for polyarticular disease) had higher values for BMI (p = 0.006); total fat mass (p = 0.003); FMI (p = 0.001); and fat in the legs (p = 0.001), trunk (p = 0.001), and arms (p = 0.002). The factors associated with overweight/obesity in patients were the duration of therapy with biological drugs, measured in months (OR [95% CI] = 1.12 [1.02-1.04]; p = 0.037), and physical activity (OR [95% CI] = 0.214 [0.07-0.68]; p = 0.010), while the factors associated with FMI were age (β [95% CI] = 0.30 [0.17-1.41]; p = 0.014), JADAS27 (β [95% CI] = 0.45 [0.16-1.08]; p = 0.009), and physical activity (β [95% CI] = -0.22 [-5.76 to 0.29]; p = 0.031).

CONCLUSION

Our study revealed no differences between JIA patients with well-controlled disease and low disability and the healthy population in BMI or body composition. Furthermore, the association observed between inflammatory activity and adiposity could be responsible for poorer clinical course.

Anthropometry as a readily accessible health assessment of older adults

Anthropometry (derived from the Greek Anthropos: human, and metron: measure) refers to the systematic collection, and measurement of the physical characteristics of the human body, primarily body weight, body size, and shape. Anthropometric values are closely related to genetic factors, environmental characteristics, social, and cultural conditions, lifestyle, functional status, and health. Anthropometric measurements can be used to assess risk of malnutrition, obesity, muscle wasting, increased fat mass, and maldistribution of adipose tissue. Potential modifiable factors include circumferences, skinfolds, and body weight. While are height, and the bone diameters are non-modifiable. Kinanthropometry is the study of size, shape, proportionality, composition, biological maturation, and body function, in order to understand the process of growth, exercise, sports performance, and nutrition. Aging of the population, which is associated with increased risk of chronic disease, and disability, is one of the most important demographic changes facing many countries. Anthropometric indicators are simple, portable, non-invasive, inexpensive, and easily applied measurements that can be readily applied in geriatric populations to guide preventative measures, and medical interventions in older adults.

Changes to Body Composition in Women With Long-Standing Established Rheumatoid Arthritis: Differences by Level of Disease Activity

INTRODUCTION

Few studies on rheumatoid arthritis have investigated disease activity and body composition by dual-energy X-ray absorptiometry including evaluation of visceral adipose tissue. Thus, we sought to verify the association between body composition by dual-energy X-ray absorptiometry, including visceral adipose tissue, and inflammatory activity in long-standing established rheumatoid arthritis.

METHODS

Seventy-eight postmenopausal women with rheumatoid arthritis (American College of Rheumatology 2010) were studied. Disease activity was assessed by composite indexes (DAS28, CDAI, SDAI) and C-reactive protein. Potential association between body composition and disease activity was analysed by Pearson correlation and Tukey´s test (p < 0.05).

RESULTS

There was significant negative correlation between C-reactive protein and appendicular lean mass index (r = -0.234, p = 0.039). After adjusting for confounding variables, women with C-reactive protein >10 mg/L had a lower appendicular lean mass index than those with C-reactive protein 5-10 mg/L and <5 mg/L (6.3 ± 0.8 kg/m² vs 7.2 ± 1.2 kg/m² vs 6.8 ± 1.0 kg/m², respectively; p = 0.013). Women with moderate inflammation (C-reactive protein 5-10 mg/L) had more fat than those with C-reactive protein >10 mg/L and C-reactive protein <5 mg/L (12.4 ± 3.5 kg/m² vs 9.9 ± 3.6 kg/m² vs 10.5 ± 2.8 kg/m², respectively; p = 0.040), as well as more visceral adipose tissue than women with higher and lower C-reactive protein (812.5 ± 266.4 cm³ vs 604.3 ± 236.3cm³ vs 658.9 ± 255.6 cm³; p = 0.009).

CONCLUSIONS

High inflammatory activity that persists after a long disease duration was associated with both lower muscle and fat mass (including visceral adipose tissue), which is suggestive of more exuberant rheumatoid cachexia. Conversely, moderate activity was associated with greater visceral adipose tissue, which is associated with increased cardiovascular risk. These results point to the existence of different body composition profiles according to inflammatory status and the importance of individualized approaches to muscle mass and adiposity according to disease activity level in long-standing rheumatoid arthritis.

Assessment of nutritional status by dual X-Ray absorptiometry in women with rheumatoid arthritis: A case-control study

Rheumatoid arthritis (RA) has been related to an impairment of the nutritional status. Body mass index (BMI) has been used but questions arise about how to properly evaluate nutritional status in RA patients. Few studies have evaluated it by dual-energy X-ray absorptiometry.In women with RA, to analyze:Case-control study including 89 women with RA. The control group was composed by 100 patients affected by non-inflammatory rheumatic disorders. Study variables included age, RA duration, history, activity and disability, and in relation to nutritional status: BMI, serum albumin (ALB), whole body DXA assessment, and skeletal muscle index (SMI).Mean age of patients was 62 ± 8 years, mean duration of RA was 14 ± 9 years, mean disease activity score (DAS28) was 3.7 ± 1.4 and mean Health Assessment Questionnaire was 0.88 ± 0.77. BMI was 27.43 ± 5.16 Kg/m in patients and 27.78 ± 3.98 Kg/m in controls (P: ns). ALB was within normal range in all patients.By whole body DXA, RA patients presented a statistically significant lower lean mass in all locations and lower fat mass in limbs than controls. Patients had a redistribution of fat mass to trunk. Lean mass directly correlated with fat mass.Neither BMI nor ALB correlated with DXA parameters.BMI, appendicular lean mass and SMI correlated inversely with disease duration. Trunk lean mass correlated inversely, and fat mass directly, with RA disability parameters.RA patients fulfilled criteria of sarcopenia in 44% of cases versus 19% of controls (P <.001). In RA patients, regarding SMI, BMI showed a high specificity to detect sarcopenia (94% of the patients with low BMI had sarcopenia) but low sensitivity (47% of the patients with normal BMI or overweight had sarcopenia).RA patients have an impairment of nutritional status associated to disease duration that looks like sarcopenia and that is not predicted by BMI.

Aging, Obesity, and Inflammatory Age-Related Diseases

The increase in the prevalence of obesity represents a worldwide phenomenon in all age groups and is pathologically and genetically correlated with several metabolic and cardiovascular diseases, representing the most frequent age-related diseases. Obesity superimposed on aging drastically increases chronic low-grade inflammation (inflammaging), which is an important link between obesity, insulin resistance, and age-associated diseases. Immune cells of both the innate and the adaptive immune systems infiltrate the adipose tissue (AT) and during obesity induce inflammatory responses associated with metabolic switches and changes in phenotypes and function of immune cell subsets. Obesity poses new health problems especially when it occurs in the context of other diseases, many of them frequently affect elderly subjects. An emerging problem is the decreased proportion of patients with obesity achieving clinical response to therapy. In this review, we will discuss the reciprocal influences of immune cell and AT inflammation in aging and age-associated diseases and the complex relationship of nutrient and energy-sensing homeostatic checkpoints, which contribute to shape the phenotype of the AT. We will specifically examine type-2 diabetes, rheumatoid arthritis, osteoarthritis, cognitive impairment, and dementia, where obesity plays a significant role, also in shaping some clinical aspects.

Prevalence of rheumatoid cachexia assessed by bioelectrical impedance vector analysis and its relation with physical function

Rheumatoid arthritis (RA) patients frequently have changes in their body composition, with a decrease in muscle mass and an increase in fat mass, a syndrome that is termed rheumatoid cachexia (RC). The prevalence of this nutritional alteration is not well known; there is as yet no consensus, seeing as it depends on the methods, techniques, and cutoff points that are used for its diagnosis. The main aim of this study was to identify RC through assessment by bioelectrical impedance vector analysis (BIVA) and its association with metabolic causes, physical function, and the main disease status, among others. The prevalence of RC was identified in those subjects who fell outside the right lower quadrant of the reference curve of RXc graph of BIVA. Clinical, anthropometric, biochemical and physical activity, emotional status, and diet markers were also evaluated. Ninety-four patients were included (92.55% women). The prevalence of RC assessed by BIVA was 21.28%. BIVA-cachexia patients had a lesser value of handgrip strength vs. patients without BIVA-cachexia 10.2 kg (7.2-13.4) vs. 14.7 kg (9.6-19), p = 0.0062. Disability and folic acid with methotrexate consumption are related to BIVA-cachexia ((OR 4.69, 95% CI 1.33, 16.54, p = 0.016) and (OR 0.19, 95%CI 0.058, 0.651, p = 0.008), respectively). BIVA could represent a valuable tool to assess presence of RC. It is important that RA patients have physical therapy to improve their nutritional status.

Are obesity, ACPAs and periodontitis conditions that influence the risk of developing rheumatoid arthritis in first-degree relatives?

The aim of this study was to investigate the body mass index (BMI), anti-citrullinated protein antibodies (ACPAs) status and the presence of periodontitis and IgG-1/IgG-2 antibodies against Porphyromonas gingivalis (Pg) in the first-degree relatives (FDRs) of rheumatoid arthritis (RA) patients and compare these variables with a control group of healthy individuals from the general population. In total, 100 FDR individuals and 200 healthy controls matched by age and gender were included. Rheumatologic and periodontal assessment was performed, and the presence of ACPAs and anti-P. gingivalis antibodies was evaluated. Groupwise comparisons were analysed using the McNemar and Wilcoxon tests. A conditional logistic regression analysis was performed to establish the associations between BMI, ACPAs and periodontitis in both groups. In the FDR group, 70% of the subjects were female, with a mean age of 37.3 ± 13 years. Obesity was observed in 17 and 7% of the FDRs and controls, respectively. ACPAs were found in 7% of the FDRs vs. 2.5% of the controls. Periodontitis was diagnosed in 79 and 56% of the FDRs and controls, respectively. Among the FDRs, 15% had severe periodontitis. There were associations in the FDR group related to the presence of obesity (OR 2.93, 95% CI 1.03-8.28), ACPAs (OR 2.45, 95% CI 0.7-8.32) and periodontitis (OR 3.70 95% CI 1.89-7.29). Regarding anti-P. gingivalis antibodies and smoking history, no differences were found between the groups. Obesity, ACPAs and periodontitis (diagnosis and severity) can be considered as relevant conditions associated with the development of RA in FDRs.