Mental health condition of caregivers affected metal health of burn injury patients.

The present study aimed to explore the association between mental health condition of caregivers and mental health of burn injury patients. Totally 300 burn injury patients and 300 caregivers were enrolled. These two cohorts of patients were randomly allocated to study group and control group (150 patients and 150 caregivers in each group). The mental health condition of patients and caregivers was evaluated both before and after psychological interventions. There was a significant reduction of the self-rating depression scale (SDS) and self-rating anxiety scale (SAS) of patients in the study group and control group after intervention (28.23 ± 4.98 vs 32.21 ± 5.01, P < 0.001; 28.18 ± 5.01 vs 31.18 ± 5.04, P < 0.001). The corresponding indexes of caregivers showed similar results before (SDS: 47.03 ± 4.41 vs 46.98 ± 4.39, P = 0.922; SAS: 47.01 ± 4.31 vs 46.93 ± 4.35, P = 0.873) and after intervention (21.76 ± 4.23 vs 38.98 ± 4.09, P < 0.001; SAS: 21.02 ± 4.09 vs 38.65 ± 4.04, P < 0.001). The SDS score of patients in study group was positively correlated with the SDS and SAS score of caregivers (r = 0.418 and 0.218, P = 0.003 and 0.012). The SAS score of patients in the study group was also positively correlated with the SDS and SAS scores of caregivers (r = 0.107 and 0.761, P = 0.029 and 0.018). Multiple linear regression showed that age, education and time of care per day were the independent variables associated with mental health condition of caregivers in the study group (P < 0.05). Mental health condition of caregivers was closely related to the mental health of patients. Age, education and time of care per day were the independent variables associated with mental health condition of caregivers.

Altered white matter structural connectivity in primary Sjögren's syndrome: a link-based analysis.

PURPOSE: Cognitive impairment has been revealed in primary Sjögren's syndrome (pSS). However, the underlying white matter structural connectivity (SC) changes have not been studied. This study aimed to investigate the altered white matter brain network in patients with pSS using diffusion tensor imaging (DTI). METHODS: Forty-one pSS patients and sixty matched healthy controls (HCs) underwent neuropsychological tests and the subsequent MRI examinations. The clinical data were gathered from the medical record. The structural brain network was established using DTI, and a link-based comparison was performed between patients with pSS and HCs (false discovery rate correction, P < 0.05). Furthermore, the mean fractional anisotropy (FA) of the altered SCs was correlated with the neuropsychological tests and clinical data in patients with pSS (Bonferroni correction, P < 0.05). RESULTS: Compared with HCs, patients with pSS mainly exhibited decreased SC in the frontal and parietal lobes and some parts of the temporal and occipital lobes. In addition, increased SC was found between the right caudate nucleus and right median cingulate/paracingulate gyri. Specifically, the reduced SC between the left middle temporal gyrus and left middle occipital gyrus was negatively correlated with white matter high signal intensity (WMH). CONCLUSIONS: Patients with pSS showed diffusely decreased SC mainly in the frontoparietal network and exhibited a negative correlation between the reduced SC and WMH. SC represents a potential biomarker for preclinical brain impairment in patients with pSS.

Different cerebral functional segregation in Sjogren's syndrome with or without systemic lupus erythematosus revealed by amplitude of low-frequency fluctuation.

BACKGROUND: Sjögren's syndrome (SjS) associated with systemic lupus erythematosus (SjS-SLE) was considered a standalone but often-overlooked entity. PURPOSE: To assess altered spontaneous brain activity in SjS-SLE and SjS using amplitude of low-frequency fluctuation (ALFF). MATERIAL AND METHODS: Sixteen patients with SjS-SLE, 17 patients with SjS, and 17 matched controls underwent neuropsychological tests and subsequent resting-state functional magnetic resonance imaging (fMRI) examinations. The ALFF value was calculated based on blood oxygen level dependent (BOLD) fMRI. Statistical parametric mapping was utilized to analyze between-group differences and multiple comparison was corrected with Analysis of Functional NeuroImages 3dClustSim. Then, the ALFFs of brain regions with significant differences among the three groups were correlated to corresponding clinical and neuropsychological variables by Pearson correlation. RESULTS: ALFF differences in the bilateral precuneus/posterior cingulate cortex (PCC), right parahippocampal gyrus/caudate/insula, and left insula were found among the three groups. Both SjS-SLE and SjS displayed decreased ALFF in the right parahippocampal gyrus, right insula, and left insula than HC. Moreover, SjS-SLE showed wider decreased ALFF in the bilateral precuneus and right caudate, while the SjS group exhibited increased ALFF in the bilateral PCC. Additionally, patients with SjS-SLE exhibited lower ALFF values in the bilateral PCC and precuneus than SjS. Moreover, ALFF values in the right parahippocampal gyrus and PCC were negatively correlated to fatigue score and disease duration, respectively, in SjS-SLE. CONCLUSION: SjS-SLE and SjS exhibited common and different alteration of cerebral functional segregation revealed by AlFF analysis. This result appeared to indicate that SjS-SLE might be different from SjS with a neuroimaging standpoint.

[Sleep-improving mechanism of Chaiqin Ningshen Granules in insomnia rats: based on hippocampal metabonomics].

With the ultra high performance liquid chromatography-quadruple-electrostatic field orbitrap high resolution mass spectrometry(UHPLC-Q Exactive Orbitrap-MS)-based metabonomics technology, this study aims to analyze the effect of Chaiqin Ningshen Granules(CNG) on endogenous metabolites in insomnia rats of liver depression syndrome and explore the sleep-improving mechanism of this prescription. Parachlorophenylalanine(PCPA, ip) and chronic stimulation were combined to induce insomnia of liver depression pattern in rats, and the effect of CNG on the macroscopic signs, hemorheology, and neurotransmitters in the hippocampus of insomnia rats of liver depression syndrome was observed. After the administration, rat hippocampus was collected for liquid chromatography-mass spectrometry(LC-MS) analysis of the metabolomics. Principal component analysis(PCA), partial least squares discriminant analysis(PLS-DA), and orthogonal partial least squares discriminant analysis(OPLS-DA) were employed for analyzing the metabolites in rat hippocampus and screening potential biomarkers. MetPA was used to yield the related metabolic pathways and metabolic networks. The results show that the drugs can significantly improve the mental state, liver depression, and blood stasis of rats, significantly increase the content of 5-hydroxytryptamine(5-HT) and gamma aminobutyric acid(GABA) in hippocampus(except low-dose CNG), and significantly reduce the content of glucose(Glu)(except low-dose CNG). Among them, estazolam and high-dose CNG had better effect than others. Metabolomics analysis yielded 27 potential biomarkers related to insomnia. MetPA analysis showed 4 metabolic pathways of estazolam in intervening insomnia and 3 metabolic pathways of high-dose CNG in intervening insomnia, involving purine metabolism, glycerophospholipid metabolism, histidine metabolism, and caffeine metabolism. CNG can alleviate insomnia by regulating endogenous differential metabolites and further related metabolic pathways. The result lays a basis for further elucidating the mechanism of CNG in improving sleep.

Safety and efficacy of prourokinase injection in patients with ST-elevation myocardial infarction: phase IV clinical trials of the prourokinase phase study.

To evaluate the safety and efficacy in terms of infarct-related artery (IRA) patency of prourokinase (proUK) injection within 6 h after symptom onset in patients with ST-elevation myocardial infarction (STEMI). A total of 1851 patients with acute myocardial infarction were enrolled to receive thrombolytic therapy with proUK. Qualifying patients were injected with 20 mg proUK intravenously followed by intravenous infusion of 30 mg proUK within 30 min. IRA was evaluated by coronary angiography at 120 min after thrombolysis. The efficacy and safety of proUK thrombolysis were analyzed in all the enrolled patients. Successful clinical reperfusion was observed in 1580 patients (85.4%). The number of leads with ST segment elevation and the amplitude of ST segment elevation were significantly reduced within 24 h after thrombolytic therapy with proUK. Eighty-three patients (4.48%) had died by the end of follow-up (7 days after thrombolysis), and the incidences of post-infarction angina, re-infarction or reocclusion, and emergency revascularization were 15.2, 4.21, and 8.27%, respectively. The most common bleeding complication was subcutaneous or mucosal bleeding and the incidence of intracranial hemorrhage was as lower as 0.32%. The fibrinolysis therapy with proUK is efficient and safe with very low rate of bleeding complications. It provides an alternative treatment options for STEMI patients especially in settings where primary PCI cannot be offered in a timely manner.

Doxycycline Attenuates Atrial Remodeling by Interfering with MicroRNA-21 and Downstream Phosphatase and Tensin Homolog (PTEN)/Phosphoinositide 3-Kinase (PI3K) Signaling Pathway.

BACKGROUND Atrial remodeling especially in the form of fibrosis is the most important substrate of atrial fibrillation (AF). The aim of this study was to investigate the effects of doxycycline on chronic intermittent hypoxia (CIH)-induced atrial remodeling and the pathophysiological mechanisms underlying such changes. MATERIAL AND METHODS A total of 30 Sprague-Dawley rats were randomized into 3 groups: Control group, CIH group, and CIH with doxycycline treatment group. CIH rats were subjected to CIH 6 h/d for 30 days and treatment rats were administrated doxycycline while they received CIH. After the echocardiography examination, rats were sacrificed at 31 days. The tissues of atria were collected for histological and molecular biological experiments, Masson staining was used to evaluate the extent of atrial fibrosis, microRNA-21, and its downstream target phosphatase and tensin homolog (PTEN), phosphoinositide 3-kinase (PI3K) were assessed. RESULTS Compared to the control group, the CIH rats showed higher atrial interstitial collagen fraction, increased microRNA-21, PI3K levels, and decreased PTEN levels. Doxycycline treatment attenuated CIH-induced atrial fibrosis, reduced microRNA-21 and PI3K, and increased PTEN. CONCLUSIONS CIH induced significant atrial remodeling, which was attenuated by doxycycline in our rat model. These changes may be explained due to alterations in the microRNA-21-related signaling pathways by doxycycline.

The prognostic role of PRUNE2 in leiomyosarcoma.

PRUNE2 plays an important role in regulating tumor cell differentiation, proliferation, and invasiveness in neuroblastoma. Our previous study revealed that PRUNE2/OBSCN two-gene relative expression classifer accurately differentiated leiomyosarcoma from gastrointestinal stromal tumor. However, the association between PRUNE2 expression and prognosis in leiomyosarcoma is poorly understood. In this study, we evaluated the prognostic role of PRUNE2 in leiomyosarcoma. PRUNE2 expression was detected using immunohistochemistry in 30 formalin-fixed, paraffin-embedded leiomyosarcoma tissues from MD Anderson Cancer Center, and high expression was detected in 36.7% (11/30) of the samples. To validate these results, immunohistochemistry was performed on another cohort of 45 formalin-fixed, paraffin-embedded leiomyosarcoma tissues from Tianjin Medical University Cancer Institute & Hospital, and high PRUNE2 protein expression was detected in 37.8% (17/45) of the samples. Moreover, elevated PRUNE2 expression was significantly associated with tumor size (P = 0.03) and hemorrhage/cyst (P = 0.014), and was an independent favorable prognostic factor for overall survival in leiomyosarcoma patients from Tianjin Medical University Cancer Institute & Hospital (P < 0.05). These data suggest that increased PRUNE2 protein expression may serve as a favorable prognostic marker in human leiomyosarcoma.

Application of Machine Learning in Rheumatic Immune Diseases.

People are paying greater attention to their personal health as society develops and progresses, and rheumatic immunological disorders have become a serious concern that affects human health. As a result, research on a stable, trustworthy, and effective auxiliary diagnostic method for rheumatic immune disorders is critical. Machine learning overcomes the inefficiencies and volatility of human data processing, ushering in a revolution in artificial intelligence research. With the use of big data, machine learning-based application research on rheumatic immunological disorders has already demonstrated detection abilities that are on par with or better than those of medical professionals. Artificial intelligence systems are now being applied in the field of rheumatic immune disorders, with an emphasis on the identification of patient joint images. This article focuses on the use of machine learning algorithms in the diagnosis of rheumatic illnesses, as well as the practical implications of disease-assisted diagnosis systems and intelligent medical diagnosis. This article focuses on three common machine learning algorithms for research and debate: logistic regression, support vector machines, and adaptive boosting techniques. The three algorithms are used to build diagnostic models based on rheumatic illness data, and the performance of each model is assessed. According to a thorough analysis of the assessment data, the diagnostic model based on the limit gradient boosting method has the best resilience. This article presents machine learning's use and advancement in rheumatic immunological disorders, as well as new ideas for investigating more appropriate and efficient diagnostic and treatment techniques.

Uric acid, as a double-edged sword, affects the activity of epidermal growth factor (EGF) on human umbilical vein endothelial cells by regulating aging process.

Uric acid (UA) is the main metabolite of the human body. Although UA is only a product of metabolism, it is important biological regulator. Epidermal growth factor (EGF) has important biological functions. However, so far, the effect of UA on EGF's activity has not been revealed. For this, in the current study, we systematically studied the effect of OA on the biological activity of EGF. Human Umbilical Vein Endothelial Cells (HUVECs) were used as an in vitro model, and Western-blot, RT-PCR, laser scanning confocal microscopy (CLSM) and co-localization analyses were carried out. The results showed that high concentration of UA (10 mg/dl) severely affected the biological activity of EGF. High concentration of UA suppressed the activity of EGF, and inhibited the biological effect of EGF on the HUVECs. However, it is interesting that EGF-mediated intracellular signaling was significantly down-regulated in the H2O2-induced senescent HUVEC, and physiological concentration of UA could at least partially restore the EGF-mediated signaling. Further work showed that physiological concentration of UA (5 mg/dl) shows the anti-aging effect. Taken together, current research indicates that UA may be a 'double-edged sword', physiological concentration of UA may be beneficial, but high concentrations of uric acid (UA) are harmful.

Tripterygium wilfordii derivative LLDT-8 targets CD2 in the treatment of rheumatoid arthritis.

Rheumatoid arthritis (RA), a chronic inflammatory synovitis systemic disease, can lead to joint deformities, loss of function and even death. The pathogenesis of RA may be related to genetics, infection and/or sex hormones; however, detailed accounts of the molecular mechanisms underlying its pathogenesis are lacking. In the present study, the synovial tissues of patients with RA and healthy individuals were analyzed to identify the pathogenic signaling pathways and key candidate genes involved in RA. Gene Ontology (GO), pathway enrichment and protein-protein interaction analysis were further used to identify the differentially expressed genes (DEGs) and their potential roles in RA. Molecular docking was used to screen the potential candidate drugs for management of RA. Small interfering RNA was used for knockdown of the CD2 protein. A Cell Counting Kit-8 assay was used to detect the proliferation of cells. Changes in the levels of inflammatory cytokines were detected using ELISA. A total of 279 DEGs were identified in RA; amongst these genes, 166 and 113 were upregulated and downregulated, respectively. GO analysis revealed that the upregulated DEGs were primarily enriched in the activation of the immune and adaptive immune responses, as well as the inflammatory response. The T-cell surface antigen CD2 (CD2) was identified as the most important hub gene by selecting the most important module from the protein-protein interaction network. Knockout of CD2 reduced the damaging effects of TNF-α on synovial cells. Through in situ screening using computer-aided drug design, the triptolide derivative (5R)-5-hydroxytriptolide (LLDT-8) was determined to have the highest docking score based on the CD2 protein structure. Cell experiments showed that LLDT-8 could inhibit the expression of CD2. Cell proliferation and inflammatory cytokine assays confirmed that CD2 was the direct target of LLDT-8. Together, the results of the present study determined factors involved in the pathogenesis of RA and the important role of CD2 in this process by analyzing the DEGs in the RA process. LLDT-8 inhibited CD2 and may thus be used to treat RA. These candidate genes and signaling pathways may serve as potential targets for the clinical treatment of RA.

Correlation of WWOX, RUNX2 and VEGFA protein expression in human osteosarcoma.

BACKGROUND: To investigate associations between WW domain-containing oxidoreductase (WWOX), runt-related transcription factor 2 (RUNX2) and vascular endothelial growth factor alpha (VEGFA) in human osteosarcoma (OS). METHODS: Copy number aberrations of WWOX, RUNX2and VEGFA genes were detected by microarray comparative genomic hybridization (aCGH) in 10 fresh OS tissue samples. VEGFA gene alterations were also investigated and validated by fluorescence in situ hybridization (FISH) in 54 formalin-fixed and paraffin-embedded (FFPE) OS samples. Protein expression of WWOX, RUNX2 and VEGFA were examined in 54 FFPE OS samples by immunohistochemistry (IHC). RESULTS: Analysis of previously published OS aCGH data (GSE9654) and aCGH data from this study (GSE19180) identified significant deletion of WWOX in 30% (6/20) of OS samples, whilst significant increase in both RUNX2 and VEGFA gene copy numbers were detected in 55% (11/20) and 60% (12/20) of OS samples, respectively. FISH demonstrated increased VEGFA gene copy number in 65.9% (31/47) of evaluable samples, in either focal or large fragment forms. Compared with positive expression of WWOX in 38.9% of the OS samples, positive expression of RUNX2 and VEGFA protein was found in 48.1 and 75.9% of samples. Although there was no significant association between gene copy number aberration and protein expression for WWOX and RUNX2, significant positive correlation between increased VEGFA gene copy number and VEGFA protein expression was observed. Although there was no significant reverse association between WWOX and RUNX2 expression, a significantly positive relationship was observed between RUNX2 and VEGFA protein expression. CONCLUSIONS: Our data show increased RUNX2 and VEGFA gene copy numbers and elevation of their respective proteins in human OS. Positive correlation of RUNX2 and VEGFA suggests that both increased VEGFA gene copy number and RUNX2 overexpression facilitate increased expression of VEGFA.