Insulin-like growth factor-1 (IGF1) in systemic lupus erythematosus: relation to disease activity, organ damage and immunological findings

Transcriptomic evaluation of N6-methyladenosine modification can be used to identify differentially gene and immune-related biological processes in TX mice with liver fibrosis

BACKGROUND

N6-methyladenosine (m6A) modification controls the stability, splicing, and translation of mRNA, which is important in the development of illnesses. Wilson's disease (WD) is an autosomal recessive liver copper metabolic disorder that causes liver fibrosis. The role of m6A methylation in WD-induced liver fibrosis development is still unclear. Thus, the goal of this study was to examine the scope of m6A methylation and further explore the potential targets related to WD-induced liver fibrosis.

RESULTS

A total of 1930 significantly different m6A peaks were found on 1737 mRNAs, of which 993 were hypermethylated and 744 were hypomethylated when comparing normal and WD-induced liver fibrosis mice (n = 3). In parallel, 1261 differentially expressed mRNAs, comprising 557 upregulated and 704 downregulated mRNAs, were found. Overall, 114 mRNAs with significant changes in m6A levels and RNA expression were identified via joint analysis. Then, through PPI network construction and functional enrichment analysis, 12 hub genes were identified, these genes were mainly enriched in the inflammatory response and immunomodulation, and they are associated with immune cell infiltration.

CONCLUSIONS

The significant difference in the amount of mRNA m6A modifications indicates that m6A modification is involved in the progression of WD-induced liver fibrosis, and theidentified hub genes are involved in inflammation and immune infiltration. These results may provide insights for subsequent studies on potential regulatory mechanisms.

The role of N6-methyladenosine (m6A) in kidney diseases

Chemical modifications are a specific and efficient way to regulate the function of biological macromolecules. Among them, RNA molecules exhibit a variety of modifications that play important regulatory roles in various biological processes. More than 170 modifications have been identified in RNA molecules, among which the most common internal modifications include N6-methyladenine (m6A), n1-methyladenosine (m1A), 5-methylcytosine (m5C), and 7-methylguanine nucleotide (m7G). The most widely affected RNA modification is m6A, whose writers, readers, and erasers all have regulatory effects on RNA localization, splicing, translation, and degradation. These functions, in turn, affect RNA functionality and disease development. RNA modifications, especially m6A, play a unique role in renal cell carcinoma disease. In this manuscript, we will focus on the biological roles of m6A in renal diseases such as acute kidney injury, chronic kidney disease, lupus nephritis, diabetic kidney disease, and renal cancer.

Serum proteome and metabolome uncover novel biomarkers for the assessment of disease activity and diagnosing of systemic lupus erythematosus

Systemic lupus erythematosus (SLE) is an autoimmune disease affecting thousands of people. There are still no effective biomarkers for SLE diagnosis and disease activity assessment. We performed proteomics and metabolomics analyses of serum from 121 SLE patients and 106 healthy individuals, and identified 90 proteins and 76 metabolites significantly changed. Several apolipoproteins and the metabolite arachidonic acid were significantly associated with disease activity. Apolipoprotein A-IV (APOA4), LysoPC(16:0), punicic acid and stearidonic acid were correlated with renal function. Random forest model using the significantly changed molecules identified 3 proteins including ATRN, THBS1 and SERPINC1, and 5 metabolites including cholesterol, palmitoleoylethanolamide, octadecanamide, palmitamide and linoleoylethanolamide, as potential biomarkers for SLE diagnosis. Those biomarkers were further validated in an independent cohort with high accuracy (AUC = 0.862 and 0.898 for protein and metabolite biomarkers respectively). This unbiased screening has led to the discovery of novel molecules for SLE disease activity assessment and SLE classification.

Analysis of MIR27A (rs11671784) Variant Association with Systemic Lupus Erythematous

Multiple microRNAs (miRs) are associated with systemic autoimmune disease susceptibility/phenotype, including systemic lupus erythematosus (SLE). With this work, we aimed to unravel the association of the miR-27a gene (MIR27A) rs11671784G/A variant with SLE risk/severity. One-hundred sixty-three adult patients with SLE and matched controls were included. A TaqMan allelic discrimination assay was applied for MIR27A genotyping. Logistic regression models were run to test the association with SLE susceptibility/risk. Genotyping of 326 participants revealed that the heterozygote form was the most common genotype among the study cohort, accounting for 72% of the population (n = 234), while A/A and G/G represented 15% (n = 49) and 13% (n = 43), respectively. Similarly, the most prevalent genotype among cases was the A/G genotype, which was present in approximately 93.3% of cases (n = 152). In contrast, only eight and three patients had A/A and G/G genotypes, respectively. The MIR27A rs11671784 variant conferred protection against the development of SLE in several genetic models, including heterozygous (G/A vs. A/A; OR = 0.10, 95% CI = 0.05–0.23), dominant (G/A + G/G vs. AA; OR = 0.15, 95% CI = 0.07–0.34), and overdominant (G/A vs. A/A + G/G; OR = 0.07, 95% CI = 0.04–0.14) models. However, the G/G genotype was associated with increased SLE risk in the recessive model (G/G vs. A/A+ G/G; OR = 17.34, 95% CI = 5.24–57.38). Furthermore, the variant showed significant associations with musculoskeletal and mucocutaneous manifestations in the patient cohort (p = 0.035 and 0.009, respectively) and platelet and white blood cell counts (p = 0.034 and 0.049, respectively). In conclusion, the MIR27A rs11671784 variant showed a potentially significant association with SLE susceptibility/risk in the studied population. Larger-scale studies on multiethnic populations are recommended to verify the results.

Insulin-like growth factor binding protein-2 as a biomarker for lupus nephritis

BACKGROUND

Lupus nephritis (LN) is a serious manifestation of systemic lupus erythematosus (SLE). The aim of this study was to identify serum insulin-like growth factor binding protein-2 (IGFBP-2) as a novel non-invasive biomarker for clinical disease and renal pathology in pediatric LN.

METHODS

A cross-sectional study on 93 newly diagnosed LN children who were biopsy-proven, 35 SLE children with no renal involvement as disease controls, and 30 healthy controls (HC) with age and gender-matched. All children were ELISA tested for serum IGFBP-2 levels. Clinical, laboratory, histopathological features of LN patients were collected.

RESULTS

Compared to SLE or HC, serum IGFBP-2 levels were significantly elevated in LN patients. Serum IGFBP-2 could distinguish LN patients from two others (AUC = 0.937, p < 0.001 for LN vs. HC; 0.897, p < 0.0001 for LN vs. SLE). In ROC analysis, IGFBP-2 had a higher ability to differentiate between LN and SLE than anti-dsDNA with AUC values of 0.895 and 0.643, respectively. LN children with systemic lupus erythematosus disease activity index (SLEDAI) in high activity had significantly higher IGFBP-2 concentration than the others with SLEDAI in moderate activity. Serum IGFBP-2 correlated with albuminemia levels (r = 0.415, p < 0.001), urine protein-to-creatinine levels (r = 0.316, p = 0.002), estimated glomerular filtration rate (r = 0.438, p < 0.001), complement C3 (r = 0.333, p = 0.001). More importantly, serum IGFBP-2 correlated with the activity index of renal pathology (r = 0.312, p = 0.007, n = 75).

CONCLUSIONS

Serum IGFBP-2 is a promising biomarker for pediatric lupus nephritis, reflective of disease activity and activity index in renal patients.

Exploration of Potential Integrated Models of N6-Methyladenosine Immunity in Systemic Lupus Erythematosus by Bioinformatic Analyses

Systemic lupus erythematosus (SLE) is a prototypical systemic autoimmune disease of unknown etiology. The epigenetic regulation of N6-methyladenosine (m6A) modification in immunity is emerging. However, few studies have focused on SLE and m6A immune regulation. In this study, we aimed to explore a potential integrated model of m6A immunity in SLE. The models were constructed based on RNA-seq data of SLE. A consensus clustering algorithm was applied to reveal the m6A-immune signature using principal component analysis (PCA). Univariate and multivariate Cox regression analyses and Kaplan–Meier analysis were used to evaluate diagnostic differences between groups. The effects of m6A immune-related characteristics were investigated, including risk evaluation of m6A immune phenotype-related characteristics, immune cell infiltration profiles, diagnostic value, and enrichment pathways. CIBERSORT, ESTIMATE, and single-sample gene set enrichment analysis (ssGSEA) were used to evaluate the relative immune cell infiltrations (ICIs) of the samples. Conventional bioinformatics methods were used to identify key m6A regulators, pathways, gene modules, and the coexpression network of SLE. In summary, our study revealed that IGFBP3 (as a key m6A regulator) and two pivotal immune genes (CD14 and IDO1) may aid in the diagnosis and treatment of SLE. The potential integrated models of m6A immunity that we developed could guide clinical management and may contribute to the development of personalized immunotherapy strategies.

Metabolic Analysis of Potential Key Genes Associated with Systemic Lupus Erythematosus Using Liquid Chromatography-Mass Spectrometry

The biological mechanism underlying the pathogenesis of systemic lupus erythematosus (SLE) remains unclear. In this study, we found 21 proteins upregulated and 38 proteins downregulated by SLE relative to normal protein metabolism in our samples using liquid chromatography-mass spectrometry. By PPI network analysis, we identified 9 key proteins of SLE, including AHSG, VWF, IGF1, ORM2, ORM1, SERPINA1, IGF2, IGFBP3, and LEP. In addition, we identified 4569 differentially expressed metabolites in SLE sera, including 1145 reduced metabolites and 3424 induced metabolites. Bioinformatics analysis showed that protein alterations in SLE were associated with modulation of multiple immune pathways, TP53 signaling, and AMPK signaling. In addition, we found altered metabolites associated with valine, leucine, and isoleucine biosynthesis; one carbon pool by folate; tyrosine metabolism; arginine and proline metabolism; glycine, serine, and threonine metabolism; limonene and pinene degradation; tryptophan metabolism; caffeine metabolism; vitamin B6 metabolism. We also constructed differently expressed protein-metabolite network to reveal the interaction among differently expressed proteins and metabolites in SLE. A total of 481 proteins and 327 metabolites were included in this network. Although the role of altered metabolites and proteins in the diagnosis and therapy of SLE needs to be further investigated, the present study may provide new insights into the role of metabolites in SLE.

Comparisons of +3179G/A insulin-like growth factor 1 receptor gene distribution between two inflammatory arthritides and healthy adults

Objectives

This study aims to investigate whether single nucleotide polymorphisms (SNPs) at the +3179G/A insulin-like growth factor 1 receptor (IGF-1R) locus were associated with rheumatoid arthritis (RA) and ankylosing spondylitis (AS) genetic susceptibility and also explore age and sex distribution of the rs2229765 in healthy adults.

Patients and methods

This cross-sectional study was conducted between September 2012 and October 2014. Seventy patients with RA (7 males, 63 females; mean age: 54±1 years; range, 32 to 78 years) and 56 with AS (44 males, 12 females; mean age: 38±9 years; range, 22 to 57 years) were genotyped using polymerase chain reaction-restriction fragment length polymorphism method. The genotype and allele frequencies of the rs2229765 polymorphism in both patient groups were compared to those in 308 healthy donors (141 males, 167 females; mean age: 35±19 years; range, 18 to 75 years) who were further subjected to analysis of sex- and age-related genetic variation.

Results

We identified the homozygous genotype AA (22.9% vs. 14.1%; odds ratio [OR]=2.33, p=0.034) and A-allele (47.9% vs. 37.5%; OR=1.53, p=0.032) associated with increased risk for RA, but not AS. The same genotype AA was non-significantly more common in healthy males than females, and the frequency of the A-allele was markedly higher in younger males (46% vs. 40%; p=0.039). The overall percentage of healthy carriers of the AA gene variant was 18%.

Conclusion

We primarily present an inverse effect of the +3179G/A IGF-1R polymorphism on disease susceptibility to RA and AS, confirming the distinctly different immune pathways involved in the pathogenesis of both inflammatory arthritides. In addition, we could also show trends regarding age- and sex-specific patterns of the rs2229765 genotype distribution in the general population.