Sandplay therapy could be a method to decrease disease activity and psychological stress in children with systemic lupus erythematosus

Objective Although the prevalence rate of childhood-onset systemic lupus erythematosus (cSLE) is far lower than that of adults, cSLE has a high rate of organ involvement, rapid development and poor prognosis, which is more serious than that in adults. And studies have shown that a wide range of physiological, functional, nerve, and organ damage will have a great impact on the mental health of children. At present, there is no relevant psychological intervention research for cSLE in China. This paper aimed to explore the effect of Sandplay therapy on mental health and disease activity of children with cSLE. Methods Forty childrens with cSLE were randomly divided into control group (CG) and intervention group (IG); the CG were treated with glucocorticoid, immunosuppressant and other drugs, while the IG were treated with Sandplay therapy in addition to drug therapy, at the time of 0, 2, and 4 weeks after initial diagnosis, respectively. The questionnaire evaluation and related clinical indicators of the two groups were compared and analyzed (before psychotherapy intervention) at 0, 2, 4, and 12 weeks after initial diagnosis. Results There was no significant difference between the two groups in the evaluation of questionnaire and related clinical indicators at the time 0, 2 weeks after initial diagnosis respectively. At 12 weeks after the intervention, the score of Short version of the Children’s Depression Inventory (CDI-S) in the IG was significantly lower than that in the CG, the score of The Screen for Child Anxiety Related Emotional Disorders (SCARED) scale in the IG was significantly lower than that in the CG, and the Pediatric Quality of Life Inventory (PedsQL 4.0) showed that the scores of social function, school performance, and emotional health of the IG were higher than those of the CG ( p < 0.05), and the clinical indexes of the IG were better than those of the CG ( p < 0.05). Conclusion Sandplay therapy may help to slow down the occurrence and development of anxiety and depression and reduce disease activity in patients with cSLE.

Role of micro-RNA132 and its long non coding SOX2 in diagnosis of lupus nephritis

Background The skin and the kidney are commonly affected in systemic lupus erythematosus (SLE) with similar molecular mechanisms. Although clinical indicators of renal injury in SLE are fairly uncontroversial, few biomarkers are reliable. The role of micro-RNAs (mi-RNAs) in lupus nephritis (LN) pathogenesis has been investigated to help in early diagnosis. Purpose The aim of work is to evaluate miRNA132 and SOX2 expressions in SLE Egyptian patients; with and without nephritis, and the relation between miRNA132 and its long non-coding gene SOX2 in both patients groups. Research Design This is a case-control study involving 100 SLE patients with and without LN (LN and non-LN groups), and 50 age-and sex-matched healthy controls. The study was carried out to detect miRNA132 and SOX2 expression by quantitative Real-Time Polymerase chain reaction methods. The SLE disease activity index (SLEDAI) was assessed. Results SLEDAI increased in LN compared to non-LN. Micro-RNA132 expression was significantly increased in patient groups compared to controls ( p<0.01) and increased in LN more than non-LN group ( p<0.001). SOX2 significantly decreased in patient groups compared to controls ( p<0.001), and was more in LN compared to non-LN group ( p<0.001). There was a negative correlation between miRNA132 and SOX2 expression in both patient groups ( p<0.001). Conclusion miRNA132 and SOX2 may play a role in SLE activity and help in the early non-invasive diagnosis of LN.

The Potential Prebiotic Berberine Combined With Methimazole Improved the Therapeutic Effect of Graves’ Disease Patients Through Regulating the Intestinal Microbiome

Graves’ disease, a typical metabolism disorder, causes diffuse goiter accompanied by ocular abnormalities and ocular dysfunction. Although methimazole (MI) is a commonly used drug for the treatment of GD, the efficacy of methimazole is only limited to the control of clinical indicators, and the side effects of MI should be seriously considered. Here, we designed a 6-month clinical trial that divided the patients into two groups: a methimazole group (n=8) and a methimazole combined with potential prebiotic berberine group (n=10). The effects of both treatments on thyroid function and treatment outcomes in patients with GD were assessed by thyroid index measurements and gut microbiota metagenomic sequencing. The results showed that the addition of berberine restored the patients’ TSH and FT3 indices to normal levels, whereas MI alone restored only FT3. In addition, TRAb was closer to the healthy threshold at the end of treatment with the drug combination. MI alone failed to modulate the gut microbiota of the patients. However, the combination of berberine with methimazole significantly altered the microbiota structure of the patients, increasing the abundance of the beneficial bacteria Lactococcus lactis while decreasing the abundance of the pathogenic bacteria Enterobacter hormaechei and Chryseobacterium indologenes. Furthermore, further mechanistic exploration showed that the addition of berberine resulted in a significant upregulation of the synthesis of enterobactin, which may have increased iron functioning and thus restored thyroid function. In conclusion, methimazole combined with berberine has better efficacy in patients with GD, suggesting the potential benefit of berberine combined with methimazole in modulating the composition of intestinal microbes in the treatment of GD, providing new strong evidence for the effectiveness of combining Chinese and Western drugs from the perspective of modulating the intestinal microbiota.

Effectiveness of Digital Counseling Environments on Anxiety, Depression, and Adherence to Treatment Among Patients Who Are Chronically Ill: Systematic Review

Background Patients who are chronically ill need novel patient counseling methods to support their self-care at different stages of the disease. At present, knowledge of how effective digital counseling is at managing patients’ anxiety, depression, and adherence to treatment seems to be fragmented, and the development of digital counseling will require a more comprehensive view of this subset of interventions. Objective This study aims to identify and synthesize the best available evidence on the effectiveness of digital counseling environments at improving anxiety, depression, and adherence to treatment among patients who are chronically ill. Methods Systematic searches of the EBSCO (CINAHL), PubMed, Scopus, and Web of Science databases were conducted in May 2019 and complemented in October 2020. The review considered studies that included adult patients aged ≥18 years with chronic diseases; interventions evaluating digital (mobile, web-based, and ubiquitous) counseling interventions; and anxiety, depression, and adherence to treatment, including clinical indicators related to adherence to treatment, as outcomes. Methodological quality was assessed using the standardized Joanna Briggs Institute critical appraisal tool for randomized controlled trials or quasi-experimental studies. As a meta-analysis could not be conducted because of considerable heterogeneity in the reported outcomes, narrative synthesis was used to synthesize the results. Results Of the 2056 records screened, 20 (0.97%) randomized controlled trials, 4 (0.19%) pilot randomized controlled trials, and 2 (0.09%) quasi-experimental studies were included. Among the 26 included studies, 10 (38%) digital, web-based interventions yielded significantly positive effects on anxiety, depression, adherence to treatment, and the clinical indicators related to adherence to treatment, and another 18 (69%) studies reported positive, albeit statistically nonsignificant, changes among patients who were chronically ill. The results indicate that an effective digital counseling environment comprises high-quality educational materials that are enriched with multimedia elements and activities that engage the participant in self-care. Because of the methodological heterogeneity of the included studies, it is impossible to determine which type of digital intervention is the most effective for managing anxiety, depression, and adherence to treatment. Conclusions This study provides compelling evidence that digital, web-based counseling environments for patients who are chronically ill are more effective than, or at least comparable to, standard counseling methods; this suggests that digital environments could complement standard counseling.

Clinical, immunomodulating and anti-recidive effects of ozone therapy in persistent allergic rhinitis in children

Research оbjective.To determine the effect of ozone therapy on clinical indicators and the state of immunity in children with moderate persistent allergic rhinitis. Material and methods. The study included children aged 5-10 years with moderate persis-tent allergic rhinitis, which were divided into two groups depending on the therapy. The first group of patients with allergic rhinitis received complex conventional therapy, the second group of patients with allergic rhinitis received complex treatment in combination with ozone therapy. Clinical parameters were studied in patients with allergic rhinitis, parameters of im-munological reactivity were investigated during periods of exacerbation of the disease and clinical remission. Results. It was found that the inclusion of ozone therapy in the complex treatment of patients of the second group ensured a faster onset of complete clinical remission (3.7 days earlier than in the first group of patients) and normalization of most immunity parameters, and also increased the expression of toll-like receptors on leukocyte cells. The duration of complete clinical remission in the group of patients with allergic rhinitis who received complex treatment in combination with ozone therapy (9.3 + 2 months) more than doubled (2.4 times) its duration in the group of patients with allergic rhinitis who received complex conventional therapy (3.9 + 0.3 months).

Application of Machine Learning for the Prediction of Etiological Types of Classic Fever of Unknown Origin

Background: The etiology of fever of unknown origin (FUO) is complex and remains a major challenge for clinicians. This study aims to investigate the distribution of the etiology of classic FUO and the differences in clinical indicators in patients with different etiologies of classic FUO and to establish a machine learning (ML) model based on clinical data.Methods: The clinical data and final diagnosis results of 527 patients with classic FUO admitted to 7 medical institutions in Chongqing from January 2012 to August 2021 and who met the classic FUO diagnostic criteria were collected. Three hundred seventy-three patients with final diagnosis were divided into 4 groups according to 4 different etiological types of classical FUO, and statistical analysis was carried out to screen out the indicators with statistical differences under different etiological types. On the basis of these indicators, five kinds of ML models, i.e., random forest (RF), support vector machine (SVM), Light Gradient Boosting Machine (LightGBM), artificial neural network (ANN), and naive Bayes (NB) models, were used to evaluate all datasets using 5-fold cross-validation, and the performance of the models were evaluated using micro-F1 scores.Results: The 373 patients were divided into the infectious disease group (n = 277), non-infectious inflammatory disease group (n = 51), neoplastic disease group (n = 31), and other diseases group (n = 14) according to 4 different etiological types. Another 154 patients were classified as undetermined group because the cause of fever was still unclear at discharge. There were significant differences in gender, age, and 18 other indicators among the four groups of patients with classic FUO with different etiological types (P &lt; 0.05). The micro-F1 score for LightGBM was 75.8%, which was higher than that for the other four ML models, and the LightGBM prediction model had the best performance.Conclusions: Infectious diseases are still the main etiological type of classic FUO. Based on 18 statistically significant clinical indicators such as gender and age, we constructed and evaluated five ML models. LightGBM model has a good effect on predicting the etiological type of classic FUO, which will play a good auxiliary decision-making function.

Dysregulation of tRNA-derived small RNAs and their potential roles in lupus nephritis

Objective Lupus nephritis (LN) is a major end-organ complication of systemic lupus erythematosus (SLE), and the molecular mechanism of LN is not completely clear. Accumulating pieces of evidence indicate the potential vital role of tRNA-derived small RNAs (tsRNAs) in human diseases. Current study aimed to investigate the potential roles of tsRNAs in LN. Methods We herein employed high‐throughput sequencing to screen the expression profiles of tsRNAs in renal tissues of the LN and control groups. To validate the sequencing data, we performed quantitative real-time PCR (qRT-PCR) analysis. Correlational analysis of verified tsRNAs expression and clinical indicators was conducted using linear regression. The potential target genes were also predicted. The biological functions of tsRNAs were annotated by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. Results Our findings revealed that the expression profiles of tsRNAs were significantly altered in the kidney tissues from LN patients compared with control. Overall, 160 tsRNAs were significantly dysregulated in the LN group, of which 79 were upregulated, whereas 81 were downregulated. Subsequent qRT-PCR results confirmed the different expression of candidate tsRNAs. Correlation analysis results found that expression of verified tsRNAs were correlated to clinical indicators. The target prediction results revealed that verified tsRNAs might act on 712 target genes. Further bioinformatics analysis uncovered tsRNAs might participate in the pathogenesis of LN through several associated pathways, including cell adhesion molecules, MAPK signaling pathway, PI3K-Akt signaling pathway and B cell receptor signaling pathway. Conclusion This study provides a novel insight for studying the mechanism of LN.