Sjögren syndrome: looking forward to the future

Salivary Flow Rate in Patients with Sjögren's Syndrome: Correlations with Salivary Gland Ultrasound Findings and Biomarkers of Disease Activity

Sjögren's syndrome (SS) is a slowly progressive, chronic autoimmune inflammatory condition characterized by the affliction of the exocrine glands, with issues that derive from it markedly decreasing the quality of life of these patients. Salivary gland involvement can be identified through imaging methods. Among them, salivary gland ultrasonography (SGUS) is used as a diagnostic and prognostic tool in pSS. The aim of the present study was to assess the salivary flow rate and correlations between it and SGUS findings and markers of pSS activity. A total of 112 patients with pSS and 56 healthy subjects were included in this study. All patients underwent investigations including the measurement of serum autoantibodies, salivary flow rate determination, and ultrasonographic evaluation. SGUS modifications had a strong inverse correlation with salivary flow (r = -68.002, p < 0.0001) and a positive, strong correlation with IL-6 and Beta-2-microglobulin (r = -0.78 and r = -0.84, respectively, p < 0.001 in both cases). The SGUS findings were also strongly and positively correlated with the ESSDAI (r = -0.88, p < 0.0001) and Focus scores (r = -0.82, p < 0.0001). SGUS represents a non-invasive means of assessing the state of the salivary glands and, implicitly, the salivary flow of patients, offering valuable insights into disease progression and steps that can be taken in order to improve patients' quality of life.

Classification of salivary gland biopsies in Sjögren's syndrome by a convolutional neural network using an auto-machine learning platform

BACKGROUND

The histopathological analysis of minor salivary gland biopsies, particularly through the quantification of the Focus Score (FS), is pivotal in the diagnostic workflow for Sjögren's Syndrome (SS). AI-based image recognition using deep learning models has demonstrated potential in enhancing diagnostic accuracy and efficiency in preclinical research.

OBJECTIVES

The primary aim of this investigation was to utilize an auto-machine learning (autoML) platform for the automated segmentation and quantification of FS on histopathological slides, aiming to augment diagnostic precision and speed in SS.

METHODS

A cohort comprising 86 patients with sicca syndrome (37 diagnosed with SS based on the 2016 ACR/EULAR Classification Criteria and 49 non-SS) was selected for an in-depth histological examination. A repository of 172 slides (two per patient) was assembled, encompassing 74 slides meeting the classificatory thresholds for SS (FS ≥ 1, indicative of lymphocytic infiltration) and 98 slides showcasing normal salivary gland histology. The autoML platform utilized (Giotto, L2F, Lausanne Switzerland) employed a Convolutional Neural Network (CNN) architecture (ResNet-152) for the training and validation phases, using a dataset of 172 slides.

RESULTS

The developed model exhibited a reliability score of 0.88, proficiently distinguishing SS cases, with a sensitivity of 89.47% (95% CI: 66.86% to 98.70%) and a specificity of 88.24% (95% CI: 63.56% to 98.54%). The model found histological slides of suboptimal quality (e.g., those compromised during fixation or staining processes) to be the most challenging for accurate classification.

CONCLUSION

AutoML platforms offer a rapid and flexible approach to developing machine learning models, even with smaller datasets, as demonstrated in this study for SS. These platforms hold significant potential for enhancing diagnostic precision and efficiency in both clinical and research settings. Multicentric studies with larger patient cohorts are essential for thorough evaluation and validation of this innovative diagnostic approach.

Patients' recollection about the onset of Sjögren's disease - a mixed methods study on the patients' perspective

BACKGROUND

Little is known about the symptoms at the onset of Sjögren's Disease (SjD) and it is unclear whether SjD starts with characteristic symptoms that could be differentiated from dryness of other origin (sicca syndrome). The aim of this study was to investigate patients' recollection of initial events and first symptoms of SjD. The second aim was to verify and quantify these aspects in a representative cohort.

METHODS

All SjD patients fulfilled the EULAR/ACR 2016 classification criteria. In the first part of the study, consecutive SjD patients were recruited for individual, semi-structured interviews. All interviews were audio-recorded and transcribed verbatim, and an inductive thematic data analysis was performed. In the second part, the identified aspects of the qualitative analysis were grouped into a checklist with ten items.

RESULTS

One-hundred and thirty-four patients participated in the study. 31 SjD patients completed the qualitative part. Major aspects emerged of how patients experienced the beginning and first symptoms of SjD: (1) "classic" SjD symptoms (fatigue, pain, dryness) (2), sicca symptoms started after initial swelling of parotid and/or lymph nodes (3), after hormonal transition or infections before the onset of SjD symptoms. In the second part of the study, the previous identified major aspects were verified in an independent cohort of 103 SjD patients. The main symptom before diagnosis was dryness (n = 77, 74.8%) with migratory joint pain (n = 51, 49.5%) and fatigue (n = 47, 45.6%). In 38.8% (n = 40), patients reported a swelling/inflammation of the parotid gland at the onset of disease.

CONCLUSIONS

We describe patients' recollection of the onset of SjD. Raising awareness of the symptoms identified among physicians and among the general public may allow earlier diagnosis of SjD.

WGCNA and machine learning analysis identifi ed SAMD9 and IFIT3 as primary Sjögren's Syndrome key genes

Background

Current treatments for primary Sjögren's Syndrome (pSS) are with limited effect, partially due to the heterogeneity and uncleared mechanism.

Methods

We got GSE40568 (Japan) and GSE40611 (USA), and analyzed them with WGCNA to find key Differentially expressed genes (DEGs) between pSS and healthy salivary glands (SG). Key pSS genes (KPGs) were further selected through 3 machine-learning methods. The expression of KPGs was validated via two other GEO datasets (GSE127952 and GSE154926). Infiltrated immune cells, ceRNA network, and potential compounds were explored.

Results

Our study identified 376 DEGs from the pSS patients, with 186 genes located in the "plum2" module, showing the strongest correlation with clinical characteristics. SAMD9 and IFIT3 emerged as KPGs with excellent diagnostic potential. SAMD9 demonstrated close association with immune cell infiltration. We constructed a lncRNA-miRNA-mRNA network comprising 2 KPGs, 12 miRNAs, 124 lncRNAs, and potential therapeutic targets.

Conclusion

In the investigation of pSS public datasets, our study revealed two potential critical mediators in the pathological process of pSS salivary glands, namely SAMD9 and IFIT3. Furthermore, we put forth a hypothesis regarding the ceRNA network and made predictions regarding potential therapeutic drugs targeting these two genes.

Correlations between the histopathological alterations in minor salivary glands and the clinically suspected Sjögren's syndrome

In sicca syndrome patients the xerostomia, xerophthalmia and the serological findings may strongly suggest the autoimmune Sjögren's syndrome, but the histological findings in the labial salivary gland biopsies do not always justify the suspected diagnosis. The aim of this study was to compare the histomorphological changes and the clinical findings in patients with pathologically established Sjögren's syndrome and in cases with negative histology. A total of 133 labial biopsies have been retrospectively evaluated from 2015 to May 2022, and the characteristic Sjögren's lesions were found in 67 cases. According to the clinical data, 34 cases proved to be primary, and 33 were associated ("secondary") forms. In 66 cases, the histology did not justify Sjögren's syndrome; a significant acinar loss, fibrolipomatous infiltration, and mild sialadenitis had led to the clinical symptoms. In Sjögren's histologies, the acinar loss was detected in just 31.8% of cases, which might indicate that the diminished saliva production represents immune-mediated hypofunction rather than direct damage of the acini. This is the first systemic study in Hungary investigating the correlation between pathological alterations and clinical findings.

Does a steroid dementia syndrome really exist? A brief narrative review of what the literature highlights about the relationship between glucocorticoids and cognition

Glucocorticoids (GCs) may cause cognitive impairment through complex pathways involving specific receptors. In the human brain, hippocampal CA1 neurons exhibit the highest level of GCs receptors. Even the elderly expressed these receptors. The purpose of this brief review is to concentrate on the relationship between GCs and cognition in order to discuss the effects of the so-called steroid dementia in routine clinical practice.

Associations of diagnostic findings with disease activity in primary Sjӧgren's syndrome: a cluster analysis

OBJECTIVE

The diagnosis of primary Sjӧgren's syndrome still relies upon a constellation of clinical, laboratory, imaging, and pathological findings. We aimed to evaluate the relation of the disease activity with the results of diagnostic tests for primary Sjӧgren's syndrome.

METHODS

A principal component with cluster analysis was performed to classify 69 patients with primary Sjӧgren's syndrome based on the results of diagnostic evaluations.

RESULTS

Anti-SSA autoantibody was the most represented feature on the principal components. The anti-SSA and ultrasound score were positively correlated (p=0.001). We identified two distinct clusters of low or high disease activity (p<0.001). Except for disease duration and serum beta2-microglobulin, the clusters were significantly different in salivary flow (p= 0.004), ultrasound findings (p<0.001), IgG (p= 0.001), and salivary beta2-microglobulin (p= 0.048). Also, positive findings were significantly different between the clusters in rheumatoid factor, antinuclear antibody, anti-SSA, and anti-SSB (all p≤0.013).

CONCLUSION

Patients with higher syndrome activity were best recognized with serological and ultrasound assessments. However, patients with lower syndrome activity had a longer disease duration, higher stimulated salivary flow rate, and a positive biopsy of minor salivary glands (56%).

The Critical Biomarkers Identification of Insulin Signaling Involved in Initiating cAMP Signaling Mediated Salivary Secretion in Sjogren Syndrome: Transcriptome Sequencing in NOD Mice Model

BACKGROUND

Sjogren's syndrome (SS) is an autoimmune disorder characterized by the destruction of exocrine glands, resulting in dry mouth and eyes. Currently, there is no effective treatment for SS, and the mechanisms associated with inadequate salivary secretion are poorly understood.

METHODS

In this study, we used NOD mice model to monitor changes in mice's salivary secretion and water consumption. Tissue morphology of the submandibular glands was examined by H&E staining, and Immunohistochemical detected the expression of AQP5 (an essential protein in salivary secretion). Global gene expression profiling was performed on submandibular gland tissue of extracted NOD mice model using RNA-seq. Subsequently, a series of bioinformatics analyses of transcriptome sequencing was performed, including differentially expressed genes (DEGs) identification, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, PPI network construction, hub gene identification, and the validity of diagnostic indicators using the dataset GSE40611. Finally, IFN-γ was used to treat the cells, the submandibular gland tissue of NOD mice model was extracted, and RT-qPCR was applied to verify the expression of hub genes.

RESULTS

We found that NOD mice model had reduced salivary secretion and increased water consumption. H&E staining suggests acinar destruction and basement membrane changes in glandular tissue. Immunohistochemistry detects a decrease in AQP5 immunostaining within acinar. In transcriptome sequencing, 42 overlapping DEGs were identified, and hub genes (REN, A2M, SNCA, KLK3, TTR, and AZGP1) were identified as initiating targets for insulin signaling. In addition, insulin signaling and cAMP signaling are potential pathways for regulating salivary secretion and constructing a regulatory relationship between target-cAMP signaling-salivary secretion.

CONCLUSION

The new potential targets and signal axes for regulating salivary secretion provide a strategy for SS therapy in a clinical setting.

A journey inside the elderly-onset primary Sjögren’s syndrome, looking for useful tips for the geriatrician

Primary Sjögren’s syndrome (pSS) is a systemic autoimmune rheumatic disease where xerophthalmia, xerostomia and presence of anti-SSA and anti-SSB antibodies are typical features. Its prevalence is higher in over-65 aged population than in other age groups. In the elderly, pSS diagnosis comes up against a whole series of critical points that may favor its misdiagnosis. The aim of our article is to discuss the most relevant of them: the frequent occurrence of a seronegative subset, the presence of systemic features not related to sicca syndrome, the sicca syndrome as iatrogenic manifestation and the possibility of a biopsy false negative of labial salivary glands.

Sjögren Syndrome: New Insights in the Pathogenesis and Role of Nuclear Medicine

In the last years, new insights into the molecular basis of rheumatic conditions have been described, which have generated particular interest in understanding the pathophysiology of these diseases, in which lies the explanation of the diversity of clinical presentation and the difficulty in diagnostic and therapeutic approaches. In this review, we focus on the new pathophysiological findings for Sjögren syndrome and on the derived new SPECT and PET radiopharmaceuticals to detect inflammation of immunological origin, focusing on their role in diagnosis, prognosis, and the evaluation of therapeutic efficacy.

Assessment of semaphorin 3A and semaphorin 7A levels in primary Sjogren's syndrome

Sjogren's syndrome (SS) is a chronic autoimmune connective tissue disease. Varying rates of system involvements may be seen in the course of the disease. Semaphorins has multifunctions in several physiological and pathological processes such as immune system regulation. The association of Semaphorin 3A (Sema3A) and Semaphorin 7A (Sema7A), which are immune semaphorins, with autoimmune diseases is interesting for researchers. We aimed to compare serum Sema3A and Sema7A levels between primary SS and control subjects, and investigated Sema3A and Sema7A levels in disease subgroups and associated system involvements. 50 consecutive primary SS patients and 40 healthy subjects followed in the Rheumatology clinic of Cumhuriyet University Medical Faculty between 2017 and 2018 were included in the study. Inclusion criteria of patients were diagnosis of primary SS according to the 2016 ACR/EULAR classification criteria. Serum Sema3A and Sema7A levels were measured by commercial ELISA kit. Both groups were similar in terms of age, gender, and body mass index. Serum Sema3A and Sema7A levels were significantly lower in SS than in the controls (p = 0.001 and p = 0.005, respectively). Serum Sema3A levels were significantly lower in patients with renal involvement than in patients without (p = 0.03). Sema3A and Sema7A may play a role in the etiopathogenesis of SS and may be a potential serological marker for the diagnosis of SS and may be a target for treatment.