Scarborougholesen8133
No lupus cystitis relapse or SLE activity occurred during 10 months of follow-up. Our case confirmed the efficacy and good follow-up outcomes of Belimumab treatment for refractory SLE-LC.
Adolescents are at increased risk of developing major depressive disorder (MDD) than many other age groups. Although the neural correlates of MDD in adults have been studied prospectively, such adolescent depression studies are mainly cross-sectional. We extracted data regarding the relationship between cortical thickness and later development of adolescent MDD from a national community study that uses an accelerated longitudinal design to examine the psychological, environmental, and neural differences related to drinking and brain development.
692 subjects (age 12-21 years; 50% female) without a history of MDD were assessed with structural neuroimaging at baseline. We compared those 101 subjects who transitioned to MDD by 1-year follow-up to those who remained non-depressed over the same time period. FreeSurfer's autosegmentation process estimated vertex-wide cortical thicknesses and its Query, Design, Estimate, Contrast (Qdec) application investigated cortical thickness between those who later developed MDD and those who remained without MDD (Monte Carlo corrected for multiple comparisons, vertex-wise cluster threshold of 1.3, p<0.01).
Those who transitioned in the next year to MDD had, at baseline, thinner cortices in the superior frontal cortex, precentral and postcentral regions, and superior temporal cortex, above and beyond effects attributable to age and sex. No cortical thickness sex differences or sex-by-depression interactions were observed.
A larger sample size could improve statistical power and future investigations will be needed to confirm our results.
Thinner cortices over frontal and temporal regions may be linked to enhanced vulnerability for future depression during the adolescent-young adulthood transition.
Thinner cortices over frontal and temporal regions may be linked to enhanced vulnerability for future depression during the adolescent-young adulthood transition.
Selective serotonin reuptake inhibitors (SSRIs) are suggested as the first-line treatment for patients with major depressive disorder (MDD), but the remission rate is unsatisfactory. We aimed to establish machine learning models and explore variables available at baseline to predict the 8-week outcome among patients taking SSRIs.
Data from 400 patients were used to build machine learnings. The last observation carried forward approach was used to determine the remitter/non-remitter status of the patients at week 8. Using least absolute shrinkage and selection operator (LASSO) to select features, we built 4 different machine learning algorithms including gradient boosting decision tree, support vector machine (SVM), random forests, and logistic regression with five-fold cross-validation. Then, we adopted Shapley additive explanations (SHAP) values to interpret the model output.
The remission rate is 67.8%. We obtained 78 features from the baseline characteristics, including 25 sociodemographic characteristics, 31 clinical features, 15 psychological traits and 7 neurocognitive functions, and 13 of these features were selected to establish SVM. The accuracy of the SVM prediction is 74.49%, reaching an average area under the curve of 0.734±0.043. The sensitivity is 0.899±0.038 with a positive predictive value of 0.776±0.028. The specificity is 0.422±0.091 with a negative predictive value of 0.674±0.086. According to the SHAP values, neurocognitive functions and anxiety and hypochondriasis symptoms were important predictors.
Our study supports the utilization of machine learning approaches with inexpensive and highly accessible variables to accurately predict the 8-week treatment outcome of SSRIs in patients with MDD.
Our study supports the utilization of machine learning approaches with inexpensive and highly accessible variables to accurately predict the 8-week treatment outcome of SSRIs in patients with MDD.
The purpose of this study was to test the feasibility and potential efficacy of a 7-week psychoeducation intervention implemented in a group setting. The intervention was based on Miklowitz's (2008) psychoeducation component of Family-Focused Therapy.
This was a feasibility randomized controlled trial study using a 2-group design (intervention and wait-list control). Twelve adult family members of those with bipolar disorder were randomized to receive 7 psychoeducation sessions immediately or after a 7-week waiting period. Outcomes were caregiver burden, depression, mental-well being, health status, and cortisol and interleukin-6 (IL-6) levels. Frequencies and percentages were used to calculate feasibility measures. The Wilcoxon Signed Rank Test was used to assess change over time during treatment.
Twelve participants were recruited out of a projected sample size of 40. Feasibility rates included the following 85% retention rate, 100% data collection rate, 94% attendance rate. The mean satisfaction scoror virtual environment platforms.
Aim of this study was the evaluation of prevalence of HPV infection and resulting genital dysplasia to assess the necessity and reasonability of pap smears and HPV testing in transgender patients. HPV is the most common sexually transmitted infection and responsible for the majority of genital dysplasias and malignancies. However, few data exist about the prevalence of HPV and dysplasia in transgender people.
This retrospective data analysis of prospectively collected data includes all patients seen in our specialized outpatient clinic for transgender people. Gynecologic exam, colposcopy, cellular swabs and HPV typing were carried out. Primary endpoint was the prevalence of HPV and genital dysplasias in transgender patients. Secondary endpoints were the subtypes of HPV, demographic data, sexual orientation and co-morbidities in these patients.
We investigated overall 98 patients whereof 53 were transwomen and 45 transmen. Of those, 10.2 % had positive HPV tests and 10.2 % dysplastic changes in the PAP aMoreover, concomitant pathologies are present and require long-term care of these patients almost all using hormone therapy and carrying several specific risk factors. Transgender-focused guidelines to take into account these peculiarities are needed.Alginate is a low-cost polysaccharide found abundantly in seaweeds which consists of mannuronate and guluronate, and it is considered a sustainable gum source for dietary fiber. To solve the high viscosity-related problems while retaining its physiological properties, four partially degraded alginate products (PDA1-4) with molecular weight of 1.05-0.40 × 105 g mol-1 and intrinsic viscosity of 170.9-38.9 mL g-1 were enzymatically prepared and characterized. 1H Nuclear magnetic resonance analysis showed the used alginate lyase had a preference to degrade guluronate-blocks. PDA1 and PDA2 presented random coil conformation, whereas PDA3 and PDA4 displayed compact spherical-coil conformation over random coil conformation in solution. In vitro assays suggested a glucose-adsorption capacity order of PDA1 less then PDA2 less then alginate less then PDA3 less then PDA4 and a glucose-diffusion retardation capacity order of PDA3 less then PDA1 ≤ alginate less then PDA2 less then PDA4, indicating that partially degraded alginate reinforced the hypoglycemic effect, especially mannuronate-rich PDA4. Overall, the study may have important implications for development of PDA as dietary fiber with potential hypoglycemic activity.We developed and validated a method for the simultaneous quantitative analysis of food dyes in two food matrices, i.e., chewing gum and soft drinks. Furthermore, we evaluated the stability of food dyes in these matrices with respect to the pH and acid content. The optimized and validated method is based on high-performance liquid chromatography-photodiode array (HPLC-PDA) and liquid chromatography-tandem spectroscopy; the proposed method could identify and quantify 12 dyes in the two matrices. The recoveries of the food dyes identified by HPLC-PDA analysis ranged from 98.61% to 118.42%, with relative standard deviations of 0.06-4.90%. In addition, the expanded uncertainties of the measurements ranged from 0.57 to 3.12%. Finally, the food dyes were found to be stable in the matrices over 30 days. Thus, we believe that the proposed analytical method is suitable for the identification and quantification of food dyes in chewing gum and soft drink samples.In this study, we investigated the effects of melatonin application on berry coloration, sugar accumulation, and nutrient absorption in 'Summer Black' grapes. Melatonin spraying at 100 μmol L-1 on grapes during veraison induced skin coloration earlier than that in controls, as well as higher transcript abundance of anthocyanin biosynthesis-related genes and transcription factors MYBA1 and MYBA2. Melatonin treatment increased the soluble sugar content, especially of sucrose, by promoting the activity of sucrose phosphate synthase, and also increased endogenous melatonin content and the concentrations of mineral nutrients N, K, Cu, Fe, and Zn in grape berries. Correlation analysis suggested that high sugar content promoted anthocyanin synthesis. These findings provide a sound theoretical basis for the development of techniques aimed to achieve optimum coloration of grapes in hot and rainy regions.Subgroups of starch granules from five maize phenotypes including waxy-, normal-, popcorn-, sweet corn- and high-amylose maize were sorted by flow cytometry (FC) utilizing the side scatter channel (SSC) and forward scatter channel (FSC). SSC and FSC mainly reflecting internal object complexity, and object size, respectively. Subgroups with higher FSC signal always showed higher SSC signal, indicating larger granules exhibited higher internal structural complexity. Wide-angle and small-angle X-ray scattering analysis showed that the subgroups showing high SSC signal intensity also had high lamellar scattering intensity, and low crystallinity. Vibrational transitions of bonds analyzed by Fourier Transform Infrared Spectroscopy (FT-IR) showed that the subgroups of maize starches, except sweet corn starch, with high SSC signal had high intensities at 1045 and 1022 cm-1. learn more Hence, our data demonstrate that the structural complexity detected by the SSC signal is mainly associated with lamellar and crystalline features of starch granules.Thermal processing is a common processing method for tilapia which has an important impact on the quality and characteristics of fish meat. This study aimed to investigate changes in the metabolites of tilapia fillets after thermal processing. In this work, we used a UHPLC-Q-TOF-MS/MS metabolomics method to identify and screen differential metabolites. A total of 249 metabolites were identified from tilapia fillet samples, 24, 29 and 24 differential metabolites were screened from steaming/raw, boiling/raw and air frying/raw groups, respectively. Thermal processing significantly changed the quality of tilapia fillets, and the contribution of amino acids, phospholipids and nucleotides to different metabolites was large and had important impacts on the taste and nutrition of tilapia fillets. Metabolomics is an effective method for quality detection of thermal processing in aquatic products. This study provides the theoretical basis for the selection of optimized processing methods for tilapia.
