A serum nuclear magnetic resonance-based metabolomic signature of antiphospholipid syndrome

Palisi, Angelica; Grimaldi, Manuela; Sabatini, Paola; Montoro, Paola; Scrima, Mario; Rodriquez, Manuela; D’Ursi, Anna Maria

doi:10.1016/j.jpba.2016.11.002

Cited by 10 publications

(12 citation statements)

References 29 publications

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“…To our knowledge, only one study has been performed investigating the intestinal microbiota in PAPS patients, and this study found a reduction of Slackia strains (which are able to produce phospholipids including cardiolipin) and of Butyricides (pro-tolerogenic bacteria) [23]. The only metabolomic analysis conducted so far identified abnormalities associated with the metabolism of methyl group donors, ketone bodies, amino acids, and PAPS [24].…”

Section: Introductionmentioning

confidence: 99%

Identification of a Shared Microbiomic and Metabolomic Profile in Systemic Autoimmune Diseases

Bellocchi

Fernández-Ochoa

Montanelli

et al. 2019

JCM

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Dysbiosis has been described in systemic autoimmune diseases (SADs), including systemic lupus erythematosus (SLE), Sjögren’s syndrome (SjS), and primary anti-phosholipid syndrome (PAPS), however the biological implications of these associations are often elusive. Stool and plasma samples from 114 subjects, including in SLE (n = 27), SjS (n = 23), PAPs (n = 11) and undifferentiated connective tissue (UCTD, n = 26) patients, and geographically-matched healthy controls (HCs, n = 27), were collected for microbiome (16s rRNA gene sequencing) and metabolome (high-performance liquid chromatography coupled to mass spectrometry) analysis to identify shared characteristics across diseases. Out of 130 identified microbial genera, a subset of 29 bacteria was able to differentiate study groups (area under receiver operating characteristics (AUROC) = 0.730 ± 0.025). A fair classification was obtained with a subset of 41 metabolic peaks out of 254 (AUROC = 0.748 ± 0.021). In both models, HCs were well separated from SADs, while UCTD largely overlapped with the other diseases. In all of the SADs pro-tolerogenic bacteria were reduced, while pathobiont genera were increased. Metabolic alterations included two clusters comprised of: (a) members of the acylcarnitine family, positively correlating with a Prevotella-enriched cluster and negatively correlating with a butyrate-producing bacteria-enriched cluster; and (b) phospholipids, negatively correlating with butyrate-producing bacteria. These findings demonstrate a strong interaction between intestinal microbiota and metabolic function in patients with SADs.

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Section: Introductionmentioning

confidence: 99%

Identification of a Shared Microbiomic and Metabolomic Profile in Systemic Autoimmune Diseases

Bellocchi

Fernández-Ochoa

Montanelli

et al. 2019

JCM

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“…NMR metabolomics, one of the most preferred methods, can detect a wide variety of compound families and can thus be particularly suitable for untargeted analysis [6]. In the past few years, an NMR-based metabonomics approach has been proved to be successfully applied for biological samples, such as plasma, serum, urine, brain tissue, and cerebrospinal fluid [7,8,9,10,11].…”

Section: Introductionmentioning

confidence: 99%

A NMR-Based Metabonomics Approach to Determine Protective Effect of a Combination of Multiple Components Derived from Naodesheng on Ischemic Stroke Rats

Luo

Kang

et al. 2019

Molecules

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Naodesheng (NDS) is a widely used traditional Chinese medicine (TCM) prescription for the treatment of ischemic stroke. A combination of 10 components is derived from NDS. They are: Notoginsenoside R1, ginsenoside Rg1, ginsenoside b1, ginsenoside Rd, hydroxysafflor yellow A, senkyunolide I, puerarin, daidzein, vitexin, and ferulic acid. This study aimed to investigate the protective effect of the ten-component combination derived from NDS (TCNDS) on ischemic stroke rats with a middle cerebral artery occlusion (MCAO) model by integrating an NMR-based metabonomics approach with biochemical assessment. Our results showed that TCNDS could improve neurobehavioral function, decrease the cerebral infarct area, and ameliorate pathological features in MCAO model rats. In addition, TCNDS was found to decrease plasma lactate dehydrogenase (LDH) and malondialdehyde (MDA) production and increase plasma superoxide dismutase (SOD) production. Furthermore, 1H-NMR metabonomic analysis indicated that TCNDS could regulate the disturbed metabolites in the plasma, urine, and brain tissue of MCAO rats, and the possible mechanisms were involved oxidative stress, energy metabolism, lipid metabolism, amino acid metabolism, and inflammation. Correlation analysis were then performed to further confirm the metabolites involved in oxidative stress. Correlation analysis showed that six plasma metabolites had high correlations with plasma LDH, MDA, and SOD. This study provides evidence that an NMR-based metabonomics approach integrated with biochemical assessment can help to better understand the underlying mechanisms as well as the holistic effect of multiple compounds from TCM.

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“…In the same way, like many other autoimmune diseases, APS is a heterogeneous entity, and this has a dramatic impact on diagnosis and treatment. 2 …”

Section: Introductionmentioning

confidence: 99%

Circulating microRNAs as biomarkers of disease and typification of the atherothrombotic status in antiphospholipid syndrome

et al. 2018

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We aimed to identify the plasma miRNA profile of antiphospholipid syndrome (APS) patients and to investigate the potential role of specific circulating miRNAs as non-invasive disease biomarkers. Ninety APS patients and 42 healthy donors were recruited. Profiling of miRNAs by PCR-array in plasma of APS patients identified a set of miRNAs differentially expressed and collectively involved in clinical features. Logistic regression and ROC analysis identified a signature of 10 miRNA ratios as biomarkers of disease. In addition, miRNA signature was related to fetal loss, atherosclerosis, and type of thrombosis, and correlated with parameters linked to inflammation, thrombosis, and autoimmunity. Hard clustering analysis differentiated 3 clusters representing different thrombotic risk profile groups. Significant differences between groups for several miRNA ratios were found. Moreover, miRNA signature remained stable over time, demonstrated by their analysis three months after the first sample collection. Parallel analysis in two additional cohorts of patients, including thrombosis without autoimmune disease, and systemic lupus erythematosus without antiphospholipid antibodies, each displayed specific miRNA profiles that were distinct from those of APS patients. In vitro, antiphospholipid antibodies of IgG isotype promoted deregulation in selected miRNAs and their potential atherothrombotic protein targets in monocytes and endothelial cells. Taken together, differentially expressed circulating miRNAs in APS patients, modulated at least partially by antiphospholipid antibodies of IgG isotype, might have the potential to serve as novel biomarkers of disease features and to typify patients’ atherothrombotic status, thus constituting a useful tool in the management of the disease.

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A serum nuclear magnetic resonance-based metabolomic signature of antiphospholipid syndrome

Cited by 10 publications

References 29 publications

Identification of a Shared Microbiomic and Metabolomic Profile in Systemic Autoimmune Diseases

Identification of a Shared Microbiomic and Metabolomic Profile in Systemic Autoimmune Diseases

A NMR-Based Metabonomics Approach to Determine Protective Effect of a Combination of Multiple Components Derived from Naodesheng on Ischemic Stroke Rats

Circulating microRNAs as biomarkers of disease and typification of the atherothrombotic status in antiphospholipid syndrome

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