scholarly journals Distinct Microbiomes of Gut and Saliva in Patients With Systemic Lupus Erythematous and Clinical Associations

2021 ◽  
Vol 12 ◽  
Author(s):  
Fengping Liu ◽  
Tianli Ren ◽  
Xiaodi Li ◽  
Qixiao Zhai ◽  
Xifeng Xu ◽  
...  
Keyword(s):  
Ribosomal Rna ◽  
Lupus Erythematosus ◽  
Gene Sequencing ◽  
Serum Levels ◽  
Systemic Lupus ◽  
16S Ribosomal Rna Gene ◽  
Healthy Control ◽  
Unclassified Bacterium ◽  
Clinical Associations ◽  
Asymptomatic Subjects

Alterations in the microbiome of the gut and oral cavity are involved in the etiopathogenesis of systemic lupus erythematosus (SLE). We aimed to assess whether both microbiome compositions in feces and saliva were specific in patients with SLE. A total of 35 patients with SLE, as well as sex- and age-matched asymptomatic subjects as healthy control (HC) group were recruited. Fecal swabs and saliva samples were collected from the participants. 16S ribosomal RNA gene sequencing was performed on the samples. Compared with the HC group, reduced bacterial richness and diversity were detected in the feces of patients with SLE, and increased bacterial diversity in their saliva. Both feces and saliva samples explained the cohort variation. The feces were characterized by enrichment of Lactobacillus, and depletion of an unclassified bacterium in the Ruminococcaceae family and Bifidobacterium. Lack of Bifidobacterium was observed in patients with arthritis. Akkermansia and Ruminococcus negatively correlated with the serum levels of C3. In saliva, Veillonella, Streptococcus, and Prevotella were dominant, and Bacteroides was negatively associated with disease activity. These findings can assist us to comprehensively understand the bacterial profiles of different body niches in SLE patients.

scholarly journals Diversity and Composition of Gut Microbiome of Cervical Cancer Patients by 16S rRNA and Whole-metagenome Sequencing

2020 ◽  
Author(s):  
Greyson Biegert ◽  
Tatiana Karpinets ◽  
Xiaogang Wu ◽  
Molly B. El Alam ◽  
Travis T. Sims ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Ribosomal Rna ◽  
Gene Sequencing ◽  
Demographic Variables ◽  
Fecal Microbiome ◽  
16S Ribosomal Rna Gene ◽  
Clinical Associations ◽  
Relative Abundances ◽  
Metagenome Sequencing ◽  
Generation Sequencing

Abstract Background Next generation sequencing has progressed rapidly, characterizing microbial communities beyond culture-based or biochemical techniques. 16S ribosomal RNA gene sequencing (16S) produces reliable taxonomic classifications and relative abundances, while shotgun metagenome sequencing (WMS) allows higher taxonomic and functional resolution at greater cost. The purpose of this study was to determine if 16S and WMS provide congruent information for our patient population from paired fecal microbiome samples. Results Comparative indices were highly congruent between 16S and WMS. The most abundant genera for 16S and WMS data did not overlap. Overlap was observed at the Phylum level, as expected. However, relative abundances correlated poorly between the two methodologies (all p>0.05). Hierarchical clustering of both sequencing analyses identified overlapping enterotypes. Both approaches were in agreement with regard to demographic variables.Conclusion Diversity, evenness and richness are comparable when using 16S and WMS techniques, however relative abundances of individual genera are not. Clinical associations with diversity and evenness metrics were similarly identified with WMS or 16S.

scholarly journals Diversity and Composition of Gut Microbiome of Cervical Cancer Patients by 16S rRNA and Whole-Metagenome Sequencing

2020 ◽  
Author(s):  
Greyson Biegert ◽  
Tatiana Karpinets ◽  
Xiaogang Wu ◽  
Molly B. El Alam ◽  
Travis T. Sims ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Ribosomal Rna ◽  
Gene Sequencing ◽  
Demographic Variables ◽  
Fecal Microbiome ◽  
16S Ribosomal Rna Gene ◽  
Clinical Associations ◽  
Relative Abundances ◽  
Metagenome Sequencing ◽  
Generation Sequencing

Abstract Background Next generation sequencing has progressed rapidly, characterizing microbial communities beyond culture-based or biochemical techniques. 16S ribosomal RNA gene sequencing (16S) produces reliable taxonomic classifications and relative abundances, while shotgun metagenome sequencing (WMS) allows higher taxonomic and functional resolution at greater cost. The purpose of this study was to determine if 16S and WMS provide congruent information for our patient population from paired fecal microbiome samples. Results Comparative indices were highly congruent between 16S and WMS. The most abundant genera for 16S and WMS data did not overlap. Overlap was observed at the Phylum level, as expected. However, relative abundances correlated poorly between the two methodologies (all p>0.05). Hierarchical clustering of both sequencing analyses identified overlapping enterotypes. Both approaches were in agreement with regard to demographic variables.Conclusion Diversity, evenness and richness are comparable when using 16S and WMS techniques, however relative abundances of individual genera are not. Clinical associations with diversity and evenness metrics were similarly identified with WMS or 16S.

Beta Cell Function is Disrupted in Patients with Systemic Lupus Erythematosus

Rheumatology ◽  
2020 ◽  
Author(s):  
Alicia García-Dorta ◽  
Juan Carlos Quevedo-Abeledo ◽  
Íñigo Rua-Figueroa ◽  
Antonia M de Vera-González ◽  
Alejandra González-Delgado ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Beta Cell ◽  
Lupus Erythematosus ◽  
Cell Function ◽  
Multivariable Analysis ◽  
Serum Levels ◽  
Cell Secretion ◽  
Systemic Lupus ◽  
Proinsulin Processing ◽  
Beta Cell Secretion

Abstract Introduction To investigate how markers of beta cell secretion (proinsulin-processing metabolites) are expressed in systemic lupus erythematosus (SLE) patients and their potential relation to features associated with the disease such as activity or damage. Methods 144 SLE patients and 69 nondiabetic sex- and age-matched controls were assessed. Beta-cell secretion molecules, as measured by insulin, split and intact proinsulins, and C-peptide levels were analyzed in both groups. Multiple regression analysis was performed to compare proinsulin propeptides between groups and to explore the interrelations with SLE features. Analyses were adjusted for glucocorticoid intake and for insulin resistance classic risk factors. Results Fully multivariable analysis demonstrated that regardless of glucocorticoid use, SLE patients exhibited higher levels of split proinsulin. Likewise, the split proinsulin-to-insulin ratio was upregulated in patients with SLE undergoing glucocorticoid therapy (beta coef. 0.19 [95%CI 0.07–0.30], p= 0.002) or not (beta coef. 0.09 [95%CI 0.01–0.17), p= 0.025). Similar results were found for the intact proinsulin-to-insulin ratio, although differences were only statistically significant for patients taking glucocorticoids (beta coef. 0.08 [95%CI 0.03–0.12], p= 0.001). SLE damage score was associated with higher serum levels of intact (beta coef. 0.51 [95%CI 0.17–0.86] pmol/l, p= 0.004) and split proinsulins (beta coef. 1.65 [95%CI 0.24–3.06] pmol/l, p= 0.022) after multivariable analysis, including disease duration and prednisone use. Conclusion Among patients with SLE, proinsulin-processing metabolites, a marker of beta-cell disruption, are upregulated compared with matched controls. This disproportionate hyperproinsulinemia can be explained by the damage produced by the disease and occurs independently of prednisone use.

scholarly journals OP0102 GENE SCREENING OF PRIMARY IMMUNODEFICIENCY DISEASES IN PATIENTS WITH JUVENILE SYSTEMIC LUPUS ERYTHEMATOSUS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 66.2-66
Author(s):  
J. LI ◽  
W. Wang ◽  
C. Y. Wang ◽  
J. Y. Pan ◽  
H. Song
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Primary Immunodeficiency ◽  
Lupus Erythematosus ◽  
Gene Sequencing ◽  
Primary Immunodeficiency Disease ◽  
Type I ◽  
Cmv Infection ◽  
Systemic Lupus ◽  
Genetic Tests ◽  
Immunodeficiency Disease

Background:Systemic lupus erythematosus (SLE) is one of the most common auto-immune diseases in childhood. Primary immunodeficiency disease (PID) patients may present or combine with autoimmune diseases.Objectives:This study aimed to perform gene sequencing via high-throughput sequencing technology in a series of Chinese pediatric SLE patients, and investigate the concomitant situation of PIDs and SLE. Gene sequencing results may help clarify the pathogenesis of SLE.Methods:This was a retrospective case series of SLE children who referred to the Peking Union Medical College Hospital between 01/2016 and 09/2019. Genetic tests were performed in patients who met the inclusion criteria. We then collected demographic, clinical, and treatment information of all involved patients. Descriptive statistics were used.Results:Seventy-one patients were finally included (eighteen boys and fifty-three girls). The median age at the time of disease onset was 9.5 (range, 3-15) years. It is notable that five patients experienced their first attack before the age of five. Twenty-seven patients showed a persistent increase in ESR during treatment, while thirteen cases presented with repeated CMV infection, thirty-four cases with persistent low complement levels, seven with basal ganglia calcification showed in skull CT or MRI, four with special type of rash (i.e., frostbite-like rash, discoid erythema, reticular erythema), two with obvious hepatosplenomegaly, and one case with type I diabetes. Gene sequencing results showed that about ten patients combine with primary immunodeficiency disease, including Aicardi-Goutières Syndrome (AGS) (n=4), Spondyloenchondro-dysplasia with immune dysregulation (SPENCDI) (n=1), STING-associated vasculopathy with onset in infancy (SAVI) (n=1), lysinuric protein intolerance (LPI) (n=1), Ras-associated autoimmune leukoproliferative disorder (RALD) (n=2).Conclusion:SLE patients who present atypical or refractory manifestations should attach importance to the existence of primary immunodeficiency disease. Genetic tests are recommended for patients with early-onset SLE, especially those with recurrent frostbite-like rash or persistent CMV infection since childhood.References:[1]T Tarr, B Dérfalvi, N Győri, et al. Similarities and differences between pediatric and adult patients with systemic lupus erythematosus[J]. Lupus. 2015, 24: 796–803.[2]Gupta S, Louis A G. Tolerance and Autoimmunity in Primary Immunodeficiency Disease: a Comprehensive Review[J]. Clinical Reviews in Allergy & Immunology, 2013, 45(2):162-169.Disclosure of Interests:None declared

scholarly journals AB0051 SERUM AMYLOID A AND PENTRAXIN 3: INNATE IMMUNE RESPONSE AND DISEASE ACTIVITY IN SYSTEMIC LUPUS ERYTHEMATOSUS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1328.1-1328
Author(s):  
R. Assandri ◽  
G. Martellosio ◽  
A. Montanelli
Keyword(s):  
Disease Activity ◽  
Lupus Erythematosus ◽  
Serum Amyloid A ◽  
Serum Levels ◽  
Innate Immune ◽  
Pentraxin 3 ◽  
Systemic Lupus ◽  
Amyloid A ◽  
Group 2 ◽  
Group 1

Background:Systemic Lupus Erythematosus (SLE) is an autoimmune disease that involves several molecular patterns with a wide spectrum of clinical manifestations and symptoms. Inflammation and related pathway play a role in SLE pathogenesis. The pentraxin superfamily including long and short pentraxin, C Reactive Protein CRP, Serum amyloid A (SAA), Pentraxin 3 (PTX3) are key components of innate immune system and induce a variety of inflammation associated pathway. However Literature provides several evidences that CRP serum levels not correlated with clinical and immunological manifestations. This situation affected clinical practice and the patient follow up. PTX3 have been identified as a component of inflammatory status in several autoimmune conditions. SAA is an acute phase protein secreted in large quantity during inflammation.Objectives:We want to evaluated SAA, PTX3 and CRP concentrations, their correlation between SLE Disease Activity Index (SLEDAI), that including complement fractions C3, C4.Methods:We enrolled fifty patients that fulfilled the SLE American College of Rheumatology criteria and fifty healthy subjects. The SLE disease activity was classified with the SLEDAI (0 to 12). Patients were divided into two groups according to SLEDAI score: inactive group (Group 1, 25 patients, 50%: SLEDAI < 4) and active group (Group 2, 25 patients, 50%: SLEDAI 5 to 12). PTX3 concentration was measured by a sandwich ELISA kit (Hycult) with 2.8 ng/mL cut-off point. SAA concentration was detected by nephelometry performed on a BN ProSpec System (Siemens, Germany), with assay kit based on polyclonal antibodies (Siemens Healthcare Diagnostics Products, Germany, 6.5 mg/L cut-off point). High sensitive CRP concentrations were determined using the ci8200 platform (Abbott Laboratories Chicago, Illinois).Results:Plasma PTX3 and serum SAA levels was significantly higher in SLE patients than in the healthy subjects (PTX311.5 ± 7.3 ng/mL vs 2.3 ± 1.1; p < 0.001; SAA: 87 ±77 mg/L vs 2.6±2.5; p < 0.001). These differences were not evident in CRP levels (8.5 ± 7.8 mg/L vs 6.2± 2.5). Considering two groups, there were statistical differences in PTX3 level (Group 2: 14.9 ± 12 ng/mL vs Group 1: 2.16 ±0.5 ng/mL, p<0,05) and SAA concentration (Group 2: 114 ± 89 ng/mL vs Group 1: 3.6 ±1.7 ng/mL, p<0,05) but not in CRP concentration (Group 2: 11.5 ± 8.4 mg/L vs Group 1: 9.5 ±3.5). There was a significantly negative correlation between C3, C4 fractions, PTX3 and SSA levels (respectively r = −0.74, p=<0.05, and r = −0.79, p<0.05). No statistical correlation were appeared between C3, C4 fractions and CRP serum levels (r= −0,12., p= 0.82, and r= −0.18, p= 0,21). We noted a positive significant correlation between SLEDAI, PTX3 and SAA concentration (r = 0.79, p < 0.05, 0.83, p < 0.05, respectively) an increase in PTX3 and SAA levels followed the lupus flare and symptoms. No significant correlation appeared between SLEDAI and CRP (r= 0.15, p=0.89)Conclusion:PTX3 and SAA concentration was significantly higher in SLE patients than the healthy control subjects and their levels reflected disease activity. We showed a direct correlation between PTX3 and SAA. In SLE patients PTX3 and SAA concentrations were correlated with SLEDAI. We suggest an integrate viewpoint in witch SAA and PTX3 may play a role as a biomarker of disease activity, with synergic work during SLE events. Evidences suggested that PTX3 and SAA could trigger the same molecular pathway, by TLR4, via NF-kB.References:[1]Assandri R, Monari M Montanelli A. Pentraxin 3 in Systemic Lupus Erithematosus: Questions to be Resolved, Translational Biomedicine (2015)Disclosure of Interests:None declared

scholarly journals Sustained high expression of multiple APOBEC3 cytidine deaminases in systemic lupus erythematosus

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Danielle Perez-Bercoff ◽  
Hélène Laude ◽  
Morgane Lemaire ◽  
Oliver Hunewald ◽  
Valérie Thiers ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Cell Death ◽  
Lupus Erythematosus ◽  
Immunosuppressive Treatment ◽  
Elevated Serum ◽  
Serum Levels ◽  
Chronic Inflammatory Disease ◽  
Mrna Levels ◽  
Systemic Lupus ◽  
Inflammatory Conditions

AbstractAPOBEC3 (A3) enzymes are best known for their role as antiviral restriction factors and as mutagens in cancer. Although four of them, A3A, A3B, A3F and A3G, are induced by type-1-interferon (IFN-I), their role in inflammatory conditions is unknown. We thus investigated the expression of A3, and particularly A3A and A3B because of their ability to edit cellular DNA, in Systemic Lupus Erythematosus (SLE), a chronic inflammatory disease characterized by high IFN-α serum levels. In a cohort of 57 SLE patients, A3A and A3B, but also A3C and A3G, were upregulated ~ 10 to 15-fold (> 1000-fold for A3B) compared to healthy controls, particularly in patients with flares and elevated serum IFN-α levels. Hydroxychloroquine, corticosteroids and immunosuppressive treatment did not reverse A3 levels. The A3AΔ3B polymorphism, which potentiates A3A, was detected in 14.9% of patients and in 10% of controls, and was associated with higher A3A mRNA expression. A3A and A3B mRNA levels, but not A3C or A3G, were correlated positively with dsDNA breaks and negatively with lymphopenia. Exposure of SLE PBMCs to IFN-α in culture induced massive and sustained A3A levels by 4 h and led to massive cell death. Furthermore, the rs2853669 A > G polymorphism in the telomerase reverse transcriptase (TERT) promoter, which disrupts an Ets-TCF-binding site and influences certain cancers, was highly prevalent in SLE patients, possibly contributing to lymphopenia. Taken together, these findings suggest that high baseline A3A and A3B levels may contribute to cell frailty, lymphopenia and to the generation of neoantigens in SLE patients. Targeting A3 expression could be a strategy to reverse cell death and the generation of neoantigens.

scholarly journals Serum levels and gene polymorphisms of angiopoietin 2 in systemic lupus erythematosus patients

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jia-Min Wang ◽  
Wang-Dong Xu ◽  
Zhi-Chao Yuan ◽  
Qian Wu ◽  
Jie Zhou ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Autoimmune Diseases ◽  
Lupus Erythematosus ◽  
Gene Polymorphisms ◽  
Serum Levels ◽  
Healthy Individuals ◽  
Systemic Lupus ◽  
Potential Biomarker ◽  
Angiopoietin 2 ◽  
Inflammatory Autoimmune Diseases

AbstractThis study aimed to discuss association between serum Angiopoietin2 (Ang2) levels, Ang2 gene polymorphisms and systemic lupus erythematosus (SLE) susceptibility. It was carried out by 235 SLE, 342 other inflammatory autoimmune diseases patients and 380 healthy individuals. Serum Ang2 levels was examinated by ELISA, and Ang2 rs12674822, rs1823375, rs1868554, rs2442598, rs3739390 and rs734701 polymorphisms were genotyped using KASP. Increased Ang2 concentrations in SLE patients were observed compared with healthy controls and patients with other inflammatory autoimmune diseases. For allelic contrast, except for rs1823375 (P = 0.058) and rs2442598 (P = 0.523), frequencies of alleles for other polymorphisms were significantly different between SLE patients and controls. Genotypes for rs12674822 (TT), rs1868554 (TT, TA and TT+TA), rs734701 (TT) were negatively correlated with SLE susceptibility (OR = 0.564 for rs12674822; OR = 0.572, OR = 0.625, OR = 0.607 for rs1868554; OR = 0.580 for rs734701). Patients carrying rs1868554 T allele and rs3739390 G allele were more likely to develop hematuria (P = 0.039; P = 0.003). The G allele frequencies of rs12674822 and rs2442598 were higher in SLE patients with proteinuria (P = 0.043; P = 0.043). GC genotype frequency of rs3739390 was higher in patients with ds-DNA (+) (P = 0.024). In summary, SLE had increased serum Ang2, which may be a potential biomarker, and the polymorphisms correlated with SLE.

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