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Transcriptomics in Parkinson's disease offers insights into the pathogenesis of Parkinson's disease but obtaining brain tissue has limitations. In order to bypass this issue, we profile and compare differentially expressed genes and enriched pathways (KEGG) in two peripheral tissues (blood and skin) of 12 Parkinson's disease patients and 12 healthy controls using RNA-sequencing technique and validation with RT-qPCR. Furthermore, we compare our results to previous Parkinson's disease post mortem brain tissue and blood results using the robust rank aggregation method. The results show no overlapping differentially expressed genes or enriched pathways in blood vs. skin in our sample sets (25 vs. 1068 differentially expressed genes with an FDR ≤ 0.05; 1 vs. 9 pathways in blood and skin, respectively). A meta-analysis from previous transcriptomic sample sets using either microarrays or RNA-Seq yields a robust rank aggregation list of cortical gene expression changes with 43 differentially expressed genes; a list o too much transcriptomic noise for detecting significant signal. On the other hand, there are signs that point towards Parkinson's disease-specific changes in non-neuronal peripheral tissues in Parkinson's disease, indicating that Parkinson's disease might be a multisystem disorder.
Osteoporosis-related fractures are an important public health burden.
To examine health care costs in Medicare patients with an osteoporosis-related fracture.
Medicare fee-for-service members with an osteoporosis-related fracture between January 1, 2010, to September 30, 2014 were included. A nonfracture comparator group was selected by propensity score matching. Generalized linear models using a gamma distribution were used to compare costs between fracture and nonfracture cohorts.
A total of 885 676 Medicare beneficiaries had fracture(s) and met inclusion criteria. Average age was 80.5 (±8.4) years; 91% were White, and 94% female. Mean all-cause costs were greater in the fracture vs nonfracture cohort ($47 163.25 vs $16 034.61) overall and for men ($52 273.79 vs $17 352.68). The highest mean costs were for skilled nursing facility ($29 216), inpatient costs ($24 190.19), and hospice care ($20 996.83). The highest incremental costs versus the nonfracture cohort were for hip ($71 057.83 vs $16 807.74), spine ($37 543.87 vs $16 860.49), and radius/ulna ($24 505.27 vs $14 673.86). Total medical and pharmacy costs for patients who experienced a second fracture were higher compared with those who did not ($78 137.59 vs $44 467.47). Proportionally more patients in the fracture versus nonfracture cohort died (18% vs 9.3%), with higher death rates among men (20% vs 11%).
The current findings suggest a significant economic burden associated with fractures. Early identification and treatment of patients at high risk for fractures is of paramount importance for secondary prevention and reduced mortality.
The current findings suggest a significant economic burden associated with fractures. Early identification and treatment of patients at high risk for fractures is of paramount importance for secondary prevention and reduced mortality.
Anticipatory grief (AG) is the process of experiencing loss prior to the death of a significant person. Coping with this multifaceted experience in the context of dementia caregiving is a relatively novel, yet significant area in caregiving literature. The Marwit-Meuser Caregiver Grief Inventory (MM-CGI) and its abbreviated MM-CGI-Short-Form (MM-CGI-SF) is the most widely used scale measuring AG. However, limited research has employed robust analytical strategies to assess its dimensional structure. This study employed contemporary factor analytical techniques to assess the dimensional structure of the MM-CGI/SF.
Caregivers of persons with dementia (
508) completed a survey containing MM-CGI/SF and other associated psychological measures. Exploratory factor analysis was employed to compare eight alternative factor analytical models to determine the optimal model. Internal-consistency reliability was assessed by Cronbach's α and construct validity was assessed by Spearman's correlation-coefficient.
The best fitting model was the MM-CGI-SF three factor model (
,
and
). The MM-CGI-SF three factor model demonstrated internal consistency reliability and factor correlations with associated psychological measures indicated construct validity.
The MM-CGI-SF three factor model demonstrated adequate fit and utility, however, the
subscale needs further replication and revision to assess its dimensionality. The MM-CGI-SF is the more useful tool due to its brevity and better model fit.
The MM-CGI-SF three factor model demonstrated adequate fit and utility, however, the Worry and Felt Isolation subscale needs further replication and revision to assess its dimensionality. The MM-CGI-SF is the more useful tool due to its brevity and better model fit.Spinal cord injury (SCI) is a catastrophic disease associated with damaged neurological structures and has become a significant social and economic burden for the health care system and patients' families. The use of Chinese Herbal Medicine (CHM) to treat SCI has been increasing in recent years. This meta-analysis aimed to investigate the effectiveness of CHM for patients with SCI. Therefore, we included randomized controlled trials (RCTs) of CHM for SCI in seven databases. A total of 26 studies involving 1961 participants were included in this study. No serious heterogeneity or publication bias was observed across each study. The results showed that significant improvements of the American Spinal Injury Association (ASIA)-grading improvement rate ([Formula see text], [Formula see text]), clinical effective rate ([Formula see text], [Formula see text]), ASIA motor score ([Formula see text], [Formula see text]), ASIA sensory score (total) ([Formula see text], [Formula see text]), ASIA sensory score (light touczes are needed to confirm the results.Fucoidan is a type of polysaccharide rich in sulfuric acid groups and is mainly found in brown algae. Due to its extensive biological activities, such as anticoagulant, antitumor, antithrombotic, antiviral, anti-oxidant and enhancing immune function, fucoidan has gradually become a research hotspot. Under the scientific guidance of modern medical theory, fucoidan and its mechanism in oxidative stress, carbohydrate and lipid metabolism, inflammatory response, tumor proliferation, and metastasis have become a new research direction and an important basis as an effective liver protection drug. In this paper, we discuss the important role of fucoidan in viral hepatitis, liver fibrosis, liver cancer, nonalcoholic fatty liver and liver injury induced by drugs and ischemia and briefly discuss its underlying mechanism. We supplement the theoretical basis for its clinical application and provide effective targets for the development of follow-up dominant drugs.The worldwide spread of the 2019 novel coronavirus has become a profound threat to human health. As the use of medication without established effectiveness may result in adverse health consequences, the development of evidence-based guidelines is of critical importance for the clinical management of coronavirus disease (COVID-19). This research presents methods used to develop rapid advice guidelines on treating COVID-19 with traditional Chinese medicine (TCM). We have followed the basic approach for developing WHO rapid guidelines, including preparing, developing, disseminating and updating each process. Compared with general guidelines, this rapid advice guideline is unique in formulating the body of evidence, as the available evidence for the treatment of COVID-19 with TCM is from either indirect or observational studies, clinical first-hand data together with expert experience in patients with COVID-19. Therefore, our search of evidence not only focuses on clinical studies of treating COVID-19 with TCM but also of similar diseases, such as pneumonia and influenza. Grading of recommendations assessment, development and evaluation (GRADE) methodology was adopted to rate the quality of evidence and distinguish the strength of recommendations. The overall certainty of the evidence is graded as either high, moderate, low or very low, and to give either "strong" or "weak" recommendations of each TCM therapy. The output of this paper will produce the guideline on TCM for COVID-19 and will also provide some ideas for evidence collection and synthesis in the future development of rapid guidelines for COVID-19 in TCM as well as other areas.This study aimed to investigate the efficacy of Traditional Chinese Medicine (TCM) decoction with different intervention timepoints in the treatment of coronavirus disease 2019 (COVID-19) patients. We retrospectively collected the medical records and evaluated the outcomes of COVID-19 patients that received TCM decoction treatment at different timepoints. A total of 234 COVID-19 patients were included in this study. Patients who received TCM decoction therapy within 3 days or 7 days after admission could achieve shorter hospitalization days and disease periods compared to those who received TCM decoction [Formula see text] 7 days after admission (all [Formula see text]). Patients who received TCM decoction therapy within 3 days had significantly fewer days to negative SARS-CoV-2 from nasopharyngeal/oral swab and days to negative SARS-CoV-2 from urine/stool/blood samples compared to those received TCM decoction [Formula see text] days after admission (all [Formula see text]). Patients who received TCM decoction therapy on the 3rd to 7th day after admission had a faster achievement of negative SARS-CoV-2 from urine/stool/blood samples compared to those who received TCM decoction [Formula see text] days after admission ([Formula see text]). Logistic models revealed that more days from TCM decoction to admission [Formula see text] days might be a risk factor for long hospitalization days, disease period, and slower negative-conversion of SARS-CoV-2 (all [Formula see text]). Conclusively, our results suggest that TCM decoction therapy should be considered at the early stage of COVID-19 patients.Bufalin is an anticancer drug extract from traditional Chinese medicine. Several articles about bufalin have been published. However, the literature on bufalin has not yet been systematically studied. This study aimed to identify the study status and knowledge structures of bufalin and to summarize the antitumor mechanism. Data were retrieved and downloaded from the PubMed database. The softwares of BICOMB, gCLUTO, Ucinet 6.0, and NetDraw2.084 were used to analyze these publications. The bufalin related genes were recognized and tagged by ABNER software. Then these BF-related genes were performed by Gene Ontology (GO) enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways analysis, and protein-protein interaction (PPI) network analysis. A total of 474 papers met the search criteria from 2000 to 2019. By biclustering clustering analysis, the 50 high-frequency main MeSH terms/subheadings were classified into 5 clusters. The clusters of drug therapy and the mechanism of bufalin were hotspot topics.
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