Rs12218 In SAA1 gene was associated with serum lipid levels

Genetic Polymorphisms of Ischemic Stroke in Asians

The increasing incidence of ischemic stroke emphasizes the necessity for early detection and preventive strategies. Diagnostic biomarkers currently available for ischemic stroke only become detectable shortly before the manifestation of stroke symptoms. Genetic variants associated with ischemic stroke offer a potential solution to address this diagnostic limitation. However, it is crucial to acknowledge that genetic variants cannot be modified in the same way as epigenetic changes. Nevertheless, individuals carrying risk or protective variants can modify their lifestyle to potentially influence the associated epigenetic factors. This study aims to summarize specific variants relevant to Asian populations that may aid in the early detection of ischemic stroke and explore their impact on the disease's pathophysiology. These variants give us important information about the genes that play a role in ischemic stroke by affecting things like atherosclerosis pathway, blood coagulation pathway, homocysteine metabolism, transporter function, transcription, and the activity of neurons regulation. It is important to recognize the variations in genetic variants among different ethnicities and avoid generalizing the pathogenesis of ischemic stroke.

[Association of rs4638289 and rs7131332 polymorphisms of the serum amyloid A1 gene with Kawasaki disease]

OBJECTIVE

To study the association of the polymorphisms of the serum amyloid A1 (SAA1) gene at rs4638289 and rs7131332 loci with Kawasaki disease (KD) and its complication coronary artery lesion (CAL) in children.

METHODS

A total of 105 Han children with KD who were hospitalized and treated from 2013 to 2017 were enrolled as the KD group. A total of 100 Han children who underwent physical examination were enrolled as the control group. According to the presence or absence of CAL, the KD group was further divided into a CAL group with 23 children and a non-CAL (NCAL) group with 82 children. Polymerase chain reaction-restriction fragment length polymorphism was used to investigate the polymorphisms of the SAA1 gene at rs4638289 and rs7131332 loci.

RESUKTS

For the locus rs4638289 of the SAA1 gene, there were no significant differences between the KD and control groups in the genotype frequencies of AA, AT, and TT and the allele frequencies of A and T (P>0.05). But there were significant differences between the CAL and NCAL groups in the genotype frequencies of AA, AT, and TT (P=0.016), while there were no significant differences in the allele frequencies of A and T (P>0.05). AT genotype was a protective factor against CAL (OR=0.276, 95%CI: 0.099-0.772, P=0.011). For the locus rs7131332 of the SAA1 gene, there were no significant differences between the KD and control groups in the genotype frequencies of AA, AG, and GG and the allele frequencies of A and G (P>0.05). There were also no significant differences between the CAL and NCAL groups in the genotype frequencies of AA, AG, and GG and the allele frequencies of A and G (P>0.05).

CONCLUSIONS

Polymorphisms of the SAA1 gene at loci rs4638289 and rs7131332 are not associated with the onset of KD, while the polymorphism at the locus rs4638289 is associated with CAL in KD patients. KD patients with genotype AT may have a reduced risk of CAL.

iTRAQ technology-based identification of human peripheral serum proteins associated with depression

Clinical depression is one of the most common and debilitating psychiatric disorders and contributes to increased risks of disability and suicide. Differentially expressed serum proteins may serve as biomarkers for diagnosing depression. In this study, samples from depressed patients are aggregated into a pool (22×100μL serum was used) and samples from healthy volunteers are aggregated into the other pool (20×100μL serum was used). Isobaric tag for relative and absolute quantitation (iTRAQ) technology and tandem mass spectrometry were employed to screen for differentially expressed serum protein in two separate pools. We identified 472 proteins in the serum samples, and 154 of these presented differences in abundance between the depression and control groups. Ingenuity pathway analysis (IPA) was employed to identify the highest scoring proteins in signaling pathway networks. Finally, four differentially expressed proteins were validated by enzyme-linked immuno sorbent assay (ELISA). Proteomic studies revealed that levels of c-reaction protein (CRP), inter-alpha-trypsin inhibitor heavy chain H4 (ITIH4), serum amyloid A1 (SAA1) and angiopoietin-like 3 (ANGPTL3) were substantially increased in depressed patients compared with the healthy control group. Therefore, these differentially expressed proteins may represent potential markers for the clinical diagnosis of depression.

CRP and SAA1 Haplotypes Are Associated with Both C-Reactive Protein and Serum Amyloid A Levels: Role of Suppression Effects

To test the statistical association of the CRP and SAA1 locus variants with their corresponding circulating levels and metabolic and inflammatory biomarker levels by using mediation analysis, a sample population of 599 Taiwanese subjects was enrolled and five CRP and four SAA1 variants were genotyped. Correlation analysis revealed that C-reactive protein (CRP) and serum amyloid A (SAA) levels were significantly associated with multiple metabolic phenotypes and inflammatory marker levels. Our data further revealed a significant association of CRP and SAA1 variants with both CRP and SAA levels. Mediation analysis revealed that SAA levels suppressed the association between SAA1 genotypes/haplotypes and CRP levels and that CRP levels suppressed the association between CRP haplotypes and SAA levels. In conclusion, genetic variants at the CRP and SAA1 loci independently affect both CRP and SAA levels, and their respective circulating levels act as suppressors. These results provided further evidence of the role of the suppression effect in biological science and may partially explain the missing heritability in genetic association studies.

Serum amyloid a gene polymorphism and its association with lipid profile in Saudi females with osteoporosis

Background and Objective:

Osteoporosis can be defined as a systemic skeletal disease characterized by low bone mass and micro architectural decline of bone tissue. Serum amyloid A (SAA) is a family of protein that increases up to 1,000-fold in blood during inflammation. In this study, we aimed to study the relationship between SAA1 gene polymorphism (rs12218) and lipid profile and osteoporosis.

Methods:

The study was performed on the female students of Taibah University in Al Medina, KSA during June 2014 to April 2015. According to BMD; osteoporosis group (138 students) and control group (128 students). All groups were subjected to; BMI, BMD, calcium, phosphorus, creatinine, lipid profile and SAA. Polymerase chain reaction and Real Time were done to determine the distribution of allele and genotype frequency of SAA (rs12218) C/T polymorphism.

Results:

This study shows that the TT genotype of rs12218 was more frequent in osteoporosis group than control group (P<0.001). Also, TT genotype and T allel was found to be associated with plasma total cholesterol, TG, LDLc, HDLc, Tscore, Zscore and SAA1 level in osteoporosis group (P=0.000, P=0.05, and P=0.000, P=0.000, P=0.01, P=0.02, P=0.000 respectively). The logistic regression analysis with and without lipid disorders in the osteoporosis group also show that the TT genotype of rs12218 still differed significantly between these two groups (P=0.001, OR=1.814, 95% CI: 0.719-4.577).

Conclusion:

The results of this study shows a significant association between TT genotype of rs12218 and both lipid level and osteoporosis in Saudi female population.

Serum amyloid A1 isoforms display different efficacy at Toll-like receptor 2 and formyl peptide receptor 2

Serum amyloid A (SAA) is a major acute-phase protein and a precursor of amyloid A, the deposit of which leads to amyloidosis. Different alleles exist in SAA1, a predominant form of the human SAA gene family. Emerging evidence has shown correlations between these alleles and diseases including familiar Mediterranean fever and amyloidosis. However, it remains unclear how the proteins encoded by these SAA1 alleles act differently. Here we report the characterization of proteins encoded by SAA1.1, SAA1.3, and SAA1.5, in comparison to that encoded by SAA2.2, for their preference of the SAA receptors including formyl peptide receptor 2 (FPR2) and Toll-like receptor 2 (TLR2). SAA1.1 was more efficacious than SAA1.3 and SAA1.5 but equally efficacious to SAA2.2 in calcium mobilization and chemotaxis assays, which measure the activation of the G protein-coupled FPR2. In agreement with this, SAA1.1 and SAA2.2 induced more robust phosphorylation of ERK than SAA1.3 and SAA1.5. Only small differences were observed between the SAA1 proteins tested and SAA2.2 in TLR2-dependent NF-κB luciferase reporter assay. In comparison, SAA1.3 was most effective in stimulating ERK and p38 MAPK phosphorylation. Using bone marrow-derived macrophages from C57BL/10ScN (Tlr4lps-del) mice, we examined the SAA isoforms for their induction of selected pro- and anti-inflammatory cytokines. SAA1.3 was most potent in the induction of TNFα and IL-1rn, whereas SAA1.5 induced robust IL-10 expression. These results show differences of the SAA1 isoforms in their selectivity for the SAA receptors, which may affect their roles in modulating inflammation and immunity.

SAA1 gene variants and childhood obesity in China

Background

Obesity increases the risk for insulin resistance and metabolic syndrome in both adults and children. SAA is a member of apolipoprotein and plays an important role in maintaining glucose and lipid homeostasis. The purpose of this study was to assess SAA1 allelic variants with obesity in young school-age children.

Methods

A total of 520 consecutive children ages 5–15 years were recruited. Children were divided based on BMI z score into Obese (OB; BMI z score ≥1.65; n = 253) and non-obese (NOB; n = 267). Four SNPs of the human SAA1 gene (rs12218, rs4638289, rs7131332 and rs11603089) were genotyped by use of polymerase chain reaction – restriction fragment length polymorphism (PCR-RFLP) method.

Results

Compared to NOB, circulating SAA levels were increased in OB, as were LDL-C, TG and TC concentration. Obese children showed increased frequency of rs12218 and rs4638289 polymorphism compared to control children. There were no differences between OB and NOB for the other 2 polymorphisms. Only the rs4638289 polymorphism showed significant contributions to higher SAA plasma levels.

Conclusions

SAA1 genetic polymorphism was associated with obesity in Chinese children.