Κατεύθυνση Φαρμακευτική Ανάλυση-Έλεγχος Ποιότητας
Library of the School of Science

2024-05-13

2024

Pardalis Stylianos

Εμμανουήλ Μικρός, Καθηγητής, Τμήμα Φαρμακευτικής ΕΚΠΑ,
Ευάγγελος Γκίκας, Καθηγητής, Τμήμα Φαρμακευτικής ΕΚΠΑ,
Ιωάννης Ντότσικας, Αναπληρωτής Καθηγητής Τμήμα Φαρμακευτικής ΕΚΠΑ

Μεταβολομική ανάλυση δειγμάτων πλάσματος από ασθενείς με σύνδρομο Sjogren και συμπτώματα sicca με τη χρήση φασματοσκοπίας NMR

Greek

Metabolomics analysis of plasma samples from patients with Sjögren syndrome ans sicca symptoms with H1 NMR spectroscopy

Sjögren's Syndrome (SjS) is a systemic chronic autoimmune disease that primarily affects the glands producing saliva and tears, leading to dryness in the mouth and eyes. The disease is classified into two main forms: primary and secondary. SS predominantly affects women, with the incidence increasing with age. However, it is not limited to women, as it can also occur in men, although to a lesser extent. Metabolism is of crucial importance in autoimmune diseases, including SS. Metabolic changes in autoimmune diseases may be attributed to inflammation and are not only attributed to inflammation and may be involved in the pathogenesis of autoimmunity.
The complex pathogenesis and heterogeneity of SS pose challenges in finding new biomarkers for early diagnosis and disease monitoring. Our goal is to analyze and understand the metabolic changes that occur between the Sicca control and SS patient groups, aiming to develop advanced diagnostic methods and therapeutic approaches, as well as to gain a deeper understanding of the disease's pathophysiology. The term "Sicca" is used to describe symptoms related to the dryness of certain body parts, such as glands.
We collected 71 plasma samples isolated from the whole blood of patients with Sicca symptoms, who underwent lip biopsy (LMSG) to investigate Sjögren's Syndrome. The samples were divided into three groups based on their focus score. Specifically, the first group had a FS<1 (Ctr), the second 13.Metabolic profiling was conducted using proton nuclear magnetic resonance (¹H NMR) spectroscopy for plasma analysis. A total of 28 metabolites were detected and quantified (applying SMolESY software), followed by univariate and multivariate statistical analysis.
The statistical analysis conducted, mainly described a poor clustering observed in the examined samples and thus, no specific metabolite emerged as biomarker related to SjS. These results reveal various aspects of the problem: (a) the high diversity and complexity of the disease, as well as the heterogeneity of clinical manifestations, (b) the homeostatic nature of blood being important for the regulation of the body’s systems and homeostasis, (c) the absence of healthy control group.
On the other hand, the use of 1H 1D NMR spectroscopy data are sensitive to polar metabolites of concentrations higher to hundred μM. The complementary to NMR, MS spectroscopy could offer valuable information on the specific same data set due to its high sensitivity and ability to detect lipids present in blood samples.

Science

Health Sciences

Sjögren's Syndrome, SS, sicca, ¹H NMR, plasma, metabolomics, saliva

Yes

2

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42

76

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https://pergamos.lib.uoa.gr/uoa/dl/object/3398435