Analysis of clinical study of salivary glands and the rate of oral fluid secretion in children with systemic connective tissue diseases

2021 ◽  
pp. 13-17
Author(s):  
A. A. Skakodub
Keyword(s):  
Connective Tissue ◽  
Salivary Glands ◽  
Oral Fluid ◽  
Inflammatory Diseases ◽  
Secondary Infection ◽  
Connective Tissue Diseases ◽  
Fluid Secretion ◽  
Tooth Decay ◽  
Mucous Membranes ◽  
Cervical Area

This article reflects clinical studies on the cause of xerostomy in children with systemic connective tissue disease (CTS). For more than 20 years, we have provided comprehensive dental care to children with CTS and have found that the presence of xerostomy and destructive changes in the parotid salivary glands in children with CTS, are characteristic of the manifestation of Shegren syndrome and contributed to: development of multiple tooth decay in the cervical area, the presence of abundant plaque on the teeth, inflammatory diseases of the gums and mucous membranes of the mouth and lips, the joining of secondary infection. 

Cutting the edge of idiopathic recurrent orbital myositis

Open Medicine ◽  
2013 ◽  
Vol 8 (6) ◽  
pp. 732-735 ◽  
Author(s):  
Alessandra Ariatti ◽  
Giuliana Galassi ◽  
Raffaella Rovati ◽  
Annalisa Chiari
Keyword(s):  
Connective Tissue ◽  
Inflammatory Diseases ◽  
Connective Tissue Diseases ◽  
Orbital Myositis ◽  
Main Complaint ◽  
Multiple Structures ◽  
Mri Scans ◽  
Magnetic Resonance Imaging Mri ◽  
Intravenous Steroids ◽  
Thyroid Ophthalmopathy

AbstractThe spectrum of orbital inflammatory diseases ranges broadly from specific diseases as connective tissue disorders, thyroid ophthalmopathy to non-specific inflammations, which may involve one or multiple structures of the orbit and/ or the surrounding sinus. Idiopathic orbital myositis (IOM) may be a localized process or it can be secondary to systemic diseases. We report 4 patients affected by IOM; in all relapsing diplopia was the main complaint, associated with orbital pain in 3 and with abnormal visual evoked responses in 2. Computed tomography (CT), magnetic resonance imaging (MRI) supported the diagnosis revealing enlargement, altered signal intensity of affected muscles. Repeated MRI scans and extensive laboratory examinations comprising of the search for a remote malignacy, lymproliferative, connective tissue diseases, thyroid ophthalmopathy were necessary to confirm the diagnosis. Oral or/and intravenous steroids were main treatments; relapses often occurred when steroid was tapered down. Intravenous immuneglobulins and azathioprine was used in one refractory case

scholarly journals The Roles of Tenascins in Cardiovascular, Inflammatory, and Heritable Connective Tissue Diseases

2020 ◽  
Vol 11 ◽  
Author(s):  
Ken-ichi Matsumoto ◽  
Hiroki Aoki
Keyword(s):  
Connective Tissue ◽  
Inflammatory Diseases ◽  
Expression Patterns ◽  
Connective Tissue Diseases ◽  
Connective Tissue Disorder ◽  
Tissue Homeostasis ◽  
Dependent Manner ◽  
Specific Expression ◽  
Ehlers Danlos Syndrome ◽  
Tenascin C

Tenascins are a family of multifunctional extracellular matrix (ECM) glycoproteins with time- and tissue specific expression patterns during development, tissue homeostasis, and diseases. There are four family members (tenascin-C, -R, -X, -W) in vertebrates. Among them, tenascin-X (TNX) and tenascin-C (TNC) play important roles in human pathologies. TNX is expressed widely in loose connective tissues. TNX contributes to the stability and maintenance of the collagen network, and its absence causes classical-like Ehlers-Danlos syndrome (clEDS), a heritable connective tissue disorder. In contrast, TNC is specifically and transiently expressed upon pathological conditions such as inflammation, fibrosis, and cancer. There is growing evidence that TNC is involved in inflammatory processes with proinflammatory or anti-inflammatory activity in a context-dependent manner. In this review, we summarize the roles of these two tenascins, TNX and TNC, in cardiovascular and inflammatory diseases and in clEDS, and we discuss the functional consequences of the expression of these tenascins for tissue homeostasis.

scholarly journals Clinical Features of Neuropsychiatric Syndromes in Systemic Lupus Erythematosus and Other Connective Tissue Diseases

2016 ◽  
Vol 9 ◽  
pp. CMAMD.S37477 ◽  
Author(s):  
Tsuyoshi Kasama ◽  
Airi Maeoka ◽  
Nao Oguro
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Connective Tissue ◽  
Immune Responses ◽  
Lupus Erythematosus ◽  
Inflammatory Diseases ◽  
Connective Tissue Diseases ◽  
Systemic Lupus ◽  
Complete Failure ◽  
Almost All ◽  
Underlying Pathology

Systemic lupus erythematosus (SLE) and related disorders are chronic inflammatory diseases characterized by abnormalities and, in some cases, even complete failure of immune responses as the underlying pathology. Although almost all connective tissue diseases and related disorders can be complicated by various neuropsychiatric syndromes, SLE is a typical connective tissue disease that can cause neurological and psychiatric syndromes. In this review, neuropsychiatric syndromes complicating connective tissue diseases, especially SLE are outlined, and pathological and other conditions that should be considered in the differential diagnosis are also discussed.

scholarly journals P170 The validity and utility of the SLE-key® rule-out serological test when applied in a selected cohort of patients with SLE and other connective tissue diseases

Rheumatology ◽  
2021 ◽  
Vol 60 (Supplement_1) ◽  
Author(s):  
Sheilla Achieng ◽  
John A Reynolds ◽  
Ian N Bruce ◽  
Marwan Bukhari
Keyword(s):  
Linear Regression ◽  
Connective Tissue ◽  
Connective Tissue Disease ◽  
Negative Correlation ◽  
Connective Tissue Diseases ◽  
Inflammatory Myositis ◽  
The Mean ◽  
Negative Rule ◽  
Spearman’S Correlation ◽  
Rule Out

Abstract Background/Aims  We aimed to establish the validity of the SLE-key® rule-out test and analyse its utility in distinguishing systemic lupus erythematosus (SLE) from other autoimmune rheumatic connective tissue diseases. Methods  We used data from the Lupus Extended Autoimmune Phenotype (LEAP) study, which included a representative cross-sectional sample of patients with a variety of rheumatic connective tissue diseases, including SLE, mixed connective tissue disease (MCTD), inflammatory myositis, systemic sclerosis, primary Sjögren’s syndrome and undifferentiated connective tissue disease (UCTD). The modified 1997 ACR criteria were used to classify patients with SLE. Banked serum samples were sent to Immune-Array’s CLIA- certified laboratory Veracis (Richmond, VA) for testing. Patients were assigned test scores between 0 and 1 where a score of 0 was considered a negative rule-out test (i.e. SLE cannot be excluded) whilst a score of 1 was assigned for a positive rule-out test (i.e. SLE excluded). Performance measures were used to assess the test’s validity and measures of association determined using linear regression and Spearman’s correlation. Results  Our study included a total of 155 patients of whom 66 had SLE. The mean age in the SLE group was 44.2 years (SD 13.04). 146 patients (94.1%) were female. 84 (54.2%) patients from the entire cohort had ACR SLE scores of ≤ 3 whilst 71 (45.8%) had ACR SLE scores ≥ 4. The mean ACR SLE total score for the SLE patients was 4.85 (SD 1.67), ranging from 2 to 8, with mean disease duration of 12.9 years. The Sensitivity of the SLE-Key® Rule-Out test in diagnosing SLE from other connective tissue diseases was 54.5%, specificity was 44.9%, PPV 42.4% and NPV 57.1 %. 45% of the SLE patients had a positive rule-out test. SLE could not be ruled out in 73% of the MCTD patients whilst 51% of the UCTD patients had a positive Rule-Out test and >85% of the inflammatory myositis patients had a negative rule-out test. ROC analysis generated an AUC of 0.525 illustrating weak class separation capacity. Linear regression established a negative correlation between the SLE-key Rule-Out score and ACR SLE total scores. Spearman’s correlation was run to determine the relationship between ACR SLE total scores and SLE-key rule-out score and showed very weak negative correlation (rs = -0.0815, n = 155, p = 0.313). Conclusion  Our findings demonstrate that when applied in clinical practice in a rheumatology CTD clinic setting, the SLE-key® rule-out test does not accurately distinguish SLE from other CTDs. The development of a robust test that could achieve this would be pivotal. It is however important to highlight that the test was designed to distinguish healthy subjects from SLE patients and not for the purpose of differentiating SLE from other connective tissue diseases. Disclosure  S. Achieng: None. J.A. Reynolds: None. I.N. Bruce: Other; I.N.B is a National Institute for Health Research (NIHR) Senior Investigator and is funded by the NIHR Manchester Biomedical Research Centre. M. Bukhari: None.

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