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Puerarin induced cell cycle arrest and apoptosis in K562/ADR cells. Finally, puerarin inhibited phosphorylation of Akt and JNK. In conclusion, puerarin-sensitized K562/ADR cells by downregulating MDR1 expression via inhibition of NF-κB pathway and autophagy induction via Akt inhibition.
The aim of this study was to quantify the association between subgingival microbiota and periodontal disease progression in older women, for which limited published data exist.
A total of 1016 postmenopausal women, aged 53 to 81 years, completed baseline (1997 to 2001) and 5-year (2002 to 2006) dental exams that included probing depth, clinical attachment level, gingival bleeding, and radiographic alveolar crestal height (ACH). #link# Baseline microbiota were measured in subgingival plaque using 16S rRNA sequencing. Associations between 52 microbiota we previously found statistically significantly associated with clinical periodontal disease at baseline, were examined with disease progression. The traditional Socransky microbiota complexes also were evaluated. Side-by-side radiograph comparisons were used to define progression as ≥2 teeth with ≥1mm ACH loss or ≥1 new tooth loss to periodontitis. The association between baseline centered log(2) ratio transformed microbial relative abundances and 5-year periodontay associated with progression. These associations were similar when stratified on baseline levels of pocket depth, gingival bleeding, ACH, and smoking status.
These prospective results affirm clearly that subgingival microbiota are measurably elevated several years prior to progression of alveolar bone loss, and include antecedent elevations in previously undocumented taxa additional to known Socransky pathogenic complexes.
These prospective results affirm clearly that subgingival microbiota are measurably elevated several years prior to progression of alveolar bone loss, and include antecedent elevations in previously undocumented taxa additional to known Socransky pathogenic complexes.
We aimed to investigate the anxiety of nurses who are supporting Wuhan in fighting against coronavirus disease 2019 (COVID-19) infection and explore relevant influencing factors.
The COVID-19 outbreak poses a major threat to public health worldwide. Nurses play an important role in this epidemic. However, available data on the mental health among these nurses are limited.
A descriptive, cross-sectional survey was performed.
An online questionnaire was completed by 200 nurses who went to Wuhan to help to fight against COVID-19 from another province. Data collection tools include the Chinese version of the Stress Overload Scale (SOS), the Self-Rating Anxiety Scale (SAS) and General Self-Efficacy Scale (GSES). Descriptive, single-factor correlation and multiple regression analyses were used in exploring related influencing factors. Reporting followed the STROBE guidelines.
The scores of SAS, SOS and GSES range from 20 to 80, 22 to 110 and 10 to 40, respectively, and the SAS (31.79±7.32) and SOS (40.19±12.92) and GSES scores (24.83±6.60) were obtained. GW441756 was positively correlated with stress (r=.679, p<.001) but negatively correlated with self-efficacy (r=-.326, p<.001). Multiple regression analysis showed that professional qualification, sleep, stress and self-efficacy were the main factors affecting nurse anxiety (p=.006, <.001, <.001, .039, respectively).
Nurses who are supporting Wuhan in fighting against COVID-19 were under a low level of anxiety.
The current study suggests work stress reduction might be a key factor in reducing anxiety and maintaining mental health to support nurses who are fighting against COVID-19 infection.
The current study suggests work stress reduction might be a key factor in reducing anxiety and maintaining mental health to support nurses who are fighting against COVID-19 infection.Over the past decade, autophagy has emerged as a critical regulatory mechanism of the immune system through critically controlling various aspects of T cell biology and determining the fate of different T cell subsets. Autophagy maintains T cell development and survival by regulating the degradation of organelles and apoptotic proteins. The autophagic process also impacts the formation of memory T cells. Alteration of autophagy in T cells may lead to a variety of pathological conditions such as inflammation, autoimmune diseases and cancer. In this review, we discuss how autophagy impacts T cell differentiation, survival and memory, and its implication in immunotherapy for various diseases.Candida antarctica (CAL-B) lipase-catalyzed resolution of 1,3-dialkyl-3-hydroxymethyl oxindoles has been performed to obtain (R)-1,3-dialkyl-3-acetoxymethyl oxindoles with up to 99% ee and (S)-1,3-dialkyl-3-hydroxymethyl oxindoles with up to 78% ee using vinyl acetate as acylating agent and acetonitrile as solvent transforming (S)-3-allyl-3-hydroxymethyl oxindole to (3S)-1'-benzyl-5-(iodomethyl)-4,5-dihydro-2H-spiro[furan-3,3'-indolin]-2'-one. The optically active 3-substituted-3-hydroxymethyl oxindoles and spiro-oxindoles are among the key synthons in the synthesis of potentially biologically active molecules.
In patients with haemophilia, general psychological distress as measured by the National Comprehensive Cancer Network (NCCN) distress thermometer has been associated with pain, disability and increased healthcare utilization.
To develop and validate a measure of haemophilia-related distress.
After qualitative interviews, the Hemophilia-Related Distress Questionnaire (HRDq) was developed. To validate the HRDq, adults (≥18years) with haemophilia were enrolled, reported demographic and clinical information, and completed the HRDq and other questionnaires that measured similar constructs. Analysis included factor analysis and assessment of internal consistency using Cronbach's α, convergent validity using Pearson's correlation coefficient, and discriminant validity by comparing subgroups of patients. Test-retest reliability was assessed using an intraclass correlation coefficient (ICC).
Among 130 enrolled participants, 126 (median age=32.7years) completed the 24 item HRDq in a median time of 5.4 minutes with overall HRDq scores ranging from 2 to 83 (median score=31.
My Website: https://www.selleckchem.com/products/gw-441756.html
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