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OBJECTIVE: The efficacy of medications for Parkinson's disease (PD) tend to decline over time, which has a serious impact on patients' health and quality of life. To some extent, traditional Chinese medicine (TCM) can resolve the distressing problem of ineffective dopaminergic medication in PD patients. The purpose of this study was to investigate the attitude, acceptance, and independent predictors of TCM in PD patients admitted to the outpatient department of a tertiary hospital. METHODS: A cross-sectional study of PD patients was conducted in the outpatient department of a large tertiary hospital in Beijing from March 2022 to June 2023. A self-report questionnaire was developed to investigate PD patients' attitudes and acceptance of TCM based on the questionnaire. Multivariate logistic regression analyses were also performed to further clarify the independent predictors influencing patients' adoption of TCM therapy. RESULTS: A total of 397 patients completed the questionnaire, of which 78.09% were willing to be treated with TCM and 21.91% indicated that they were not willing to use TCM. Multifactorial logistic regression analysis showed that several parameters were correlated with a patient's willingness to include TCM in their therapeutic regime. These included education level of a bachelor's degree (odds ratio [OR) = 8.554; 95% confidence interval [CI]: 4.112-17.794; P < 0.001, vs junior high school education), living in an urban setting (OR = 8.022; 95% CI: 4.577-14.060; P < 0.001, vs rural), having other underlying diseases (OR = 5.126; 95% CI: 3.078-8.537; P < 0.001, vs none), having previously used TCM (OR = 3.083; 95% CI: 1.852-5.134; P < 0.001, vs not used), believing that TCM therapy is safe (OR = 3.530; 95% CI: 1.446-8.616; P = 0.006, vs not thought), believing that TCM therapy is effective (OR = 3.859; 95% CI: 1.482-10.047; P = 0.006, vs not understood), and being willing to discuss ongoing TCM therapy with an attending physician (OR = 62.468; 95% CI: 30.350-128.574; P < 0.001, vs not informed). CONCLUSION: This study initially investigated the acceptance, attitude, and independent predictors of TCM use among PD patients. To expand the prevalence of TCM use among patients with PD, we recommend to broadening the public outreach for TCM via contemporary means of Internet and broadcast communication, enhancing access to TCM services in rural communities, and strengthening the communication between doctors and patients. Please cite this article as: Wang P, Hong J, Tang ZQ, Gong BZ, Qi XR, Jiang H, Pan B, Chen Q. The acceptance of traditional Chinese medicine among patients with Parkinson's disease: A hospital survey. J Integr Med. 2024; 22(2): 180-187.
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Medicina Tradicional China , Enfermedad de Parkinson , Humanos , Enfermedad de Parkinson/tratamiento farmacológico , Estudios Transversales , Calidad de Vida , Encuestas y Cuestionarios , HospitalesRESUMEN
The biofilm sequencing batch reactor (BSBR) process has higher phosphate recovery efficiency and enrichment multiple when the phosphorus load is lower, but the mechanism of phosphate enrichment at low phosphorus load remains unclear. In this study, we operated two BSBR operating under low and high phosphorus load (0.012 and 0.032 kg/(m3·d)) respectively, and used metagenomic, metatranscriptomic, and proteomics methods to analyze the community structure of the phosphorus accumulating organisms (PAOs) in the biofilm, the transcription and protein expression of key functional genes and enzymes, and the metabolism of intracellular polymers. Compared with at high phosphorus load, the BSBR at low phosphorus load have different PAOs and fewer types of PAOs, but in both cases the PAOs must have the PHA, PPX, Pst, and acs genes to become dominant. Some key differences in the metabolism of PAOs from the BSBR with different phosphorus load can be identified as follows. When the phosphorus load is low, the adenosine triphosphoric acid (ATP) and NAD(P)H in the anaerobic stage come from the TCA cycle and the second half of the EMP pathway. The key genes that are upregulated include GAPDH, PGK, ENO, ppdk in the EMP pathway, actP in acetate metabolism, phnB in polyhydroxybutyrate (PHB) synthesis, and aceA, mdh, sdhA, and IDH1 in the TCA cycle. In the meantime, the ccr gene in the PHV pathway is inhibited. As a result, the metabolism of the PAOs features low glycogen with high PHB, Pupt, Prel, and low PHV. That is, more ATP and NAD(P)H flow to phosphorus enrichment metabolism, thus allowing the highly efficient enrichment of phosphorus from low concentration phosphate thanks to the higher abundance of PAOs. The current results provide theoretical support and a new technical option for the enrichment and recovery of low concentrations of phosphate from wastewater by the BSBR process.
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NAD , Proteómica , Fósforo , Biopelículas , Adenosina Trifosfato , Reactores Biológicos , Aguas del AlcantarilladoRESUMEN
Orientin is a flavone isolated from medicinal plants used in traditional Chinese medicine (TCM) that suppresses the growth of cancer cells in vitro. The effects of orientin in hepatoma carcinoma cells remain unknown. The aim of this paper is to investigate the effects of orientin on the viability, proliferation, and migration of hepatocellular carcinoma cells in vitro. In this study, we found that orientin could inhibit the proliferation, migration, and the activation of NF-κB signaling pathway in hepatocellular carcinoma cells. An activator of NF-κB signaling pathway, PMA, could abolish the inhibitory effect of orientin on NF-κB signaling pathway and proliferation and migration of Huh7 cells. These findings raise the possibility that orientin can be used in the treatment of hepatocellular carcinoma.
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Carcinoma Hepatocelular , Neoplasias Hepáticas , Humanos , Carcinoma Hepatocelular/patología , FN-kappa B/metabolismo , Neoplasias Hepáticas/patología , Proliferación Celular , Línea Celular TumoralRESUMEN
Recovery of phosphorus (P) from wastewater is of great significance for alleviating the shortage of P resources. At present, the P recovery process is faced with the problem of excessive organic carbon consumption when obtaining a P-concentrated recovery solution. This study proposed a new strategy to obtain a more highly concentrated P recovery solution with minimal carbon consumption by strengthening the P storage capacity of the biofilm. A biofilm sequencing batch reactor (BSBR) process was modified to treat synthetic wastewater. The effect of the dissolved oxygen (DO) concentration on the P storage capacity of the biofilm was investigated at DO concentrations of DO 3.5 mg/L (PL) and DO 6.5 mg/L (PH). The results showed a maximum P storage of 101.2 and 149.6 mg-P/g-mixed liquid suspended solids under the two conditions. Strengthening the P storage capacity of the biofilm resulted in a net increase in the P recovery rate, which was as high as 66.96% in a harvesting cycle, and total soluble P>220 mg/L in the P recovery solution was successfully achieved. Meanwhile, the carbon cost of P recovery in the BSBR was reduced to 41.57 g-chemical oxygen demand/g-P, and the carbon utilization efficiency was enhanced. To highlight the new strategy, the P recovery performance of the BSBR was given and the relationship between P content and anaerobic P release was discussed. In addition, the changes in the microbial communities under PL and PH conditions were analyzed.
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Reactores Biológicos , Fósforo , Biopelículas , Análisis de la Demanda Biológica de Oxígeno , Fósforo/análisis , Eliminación de Residuos Líquidos , Aguas ResidualesRESUMEN
BACKGROUND: Metabolic syndrome (MS) is a major global health concern comprising a cluster of co-occurring conditions that increase the risk of heart disease, stroke and type 2 diabetes. MS is usually diagnosed using a combination of physiochemical indexes (such as BMI, abdominal circumference and blood pressure) but largely ignores clinical symptoms when investigating prevention and treatment of the disease. Exploring predictors of MS using multiple diagnostic indicators may improve early diagnosis and treatment of MS. Traditional Chinese medicine (TCM) attaches importance to the etiology of disease symptoms and indications using four diagnostic methods, which have long been used to treat metabolic disease. Therefore, in this study, we aimed to develop predictive indicators for MS using both physiochemical indexes and TCM methods. METHODS: Clinical information (including both physiochemical and TCM indexes) was obtained from a cohort of 586 individuals across 4 hospitals in China, comprising 136 healthy controls and 450 MS cases. Using this cohort, we compared three classic machine learning methods: decision tree (DT), support vector machine (SVM) and random forest (RF) towards MS diagnosis using physiochemical and TCM indexes, with the best model selected by comparing the accuracy, specificity and sensitivity of the three models. In parallel, the best proportional partition of the training data to the test data was confirmed by observing the changes in evaluation indexes using each model. Next, three subsets containing different categories of variables (including both TCM and physicochemical indexes combined - termed the "fused indexes", only physicochemical indexes, and TCM indexes only) were compared and analyzed using the best performing model and optimum training to test data proportion. Next, the best subset was selected through comprehensive comparative analysis, and then the important prediction variables were selected according to their weight. RESULTS: When comparing the three models, we found that the RF model had the highest average accuracy (average 0.942, 95%CI [0.925, 0.958]) and sensitivity (average 0.993, 95%CI [0.990, 0.996]). Besides, when the training set accounted for 80% of the cohort data, the specificity got the best value and the accuracy and sensitivity were also very high in RF model. In view of the performance of the three different subsets, the prediction accuracy and sensitivity of models analyzing the fused indexes and only physicochemical indexes remained at a high level. Further, the mean value of specificity of the model using fused indexes was 0.916, which was significantly higher than the model with only physicochemical indexes (average 0.822) and the model with only TCM indexes (average 0.403). Based on the RF model and data allocation ratio (8:2), we further extracted the top 20 most significant variables from the fused indexes, which included 14 physicochemical indexes and 6 TCM indexes including wiry pulse, chest tightness, spontaneous perspiration, greasy tongue coating etc. CONCLUSION: Compared with SVM and DT models, the RF model showed the best performance, especially when the ratio of the training set to test set is 8:2. Compared with single predictive indexes, the model constructed by combining physiochemical indexes with TCM indexes (i.e. the fused indexes) exhibited better predictive ability. In addition to common physicochemical indexes, some TCM indexes, such as wiry pulse, chest tightness, spontaneous perspiration, greasy tongue coating, can also improve diagnosis of MS.
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Síndrome Metabólico/diagnóstico , Síndrome Metabólico/fisiopatología , Modelos Estadísticos , Adulto , Anciano , Química Física , China , Estudios de Cohortes , Árboles de Decisión , Femenino , Humanos , Aprendizaje Automático , Masculino , Medicina Tradicional China , Persona de Mediana Edad , Valor Predictivo de las Pruebas , Reproducibilidad de los Resultados , Sensibilidad y Especificidad , Máquina de Vectores de SoporteRESUMEN
RESULTS: Results showed the overall structure of gut microbiome has no significant difference between experimental and control groups. In the genus level, the abundance of Pseudobutyrivibrio and Ruminiclostridium is higher in the experiment group than in the control, whereas that of Fusicatenibacter is less. The 16S KEGG function prediction suggested that Parkinson disease, retinol metabolism, and arachidonic acid metabolism could explain the biological function of different gut microbiome. Furthermore, cytokines in the serum showed a correlation with the abundance of Pseudobutyrivibrio in CFC. CONCLUSION: AMT could change the composition of gut microbiome which is associated with cytokines in CFC patients.
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The constituent particles of matter can arrange themselves in various ways, giving rise to emergent phenomena that can be surprisingly rich and often cannot be understood by studying only the individual constituents. Discovering and understanding the emergence of such phenomena in quantum materials-especially those in which multiple degrees of freedom or energy scales are delicately balanced-is of fundamental interest to condensed-matter research1,2. Here we report on the surprising observation of emergent ferroelectricity in graphene-based moiré heterostructures. Ferroelectric materials show electrically switchable electric dipoles, which are usually formed by spatial separation between the average centres of positive and negative charge within the unit cell. On this basis, it is difficult to imagine graphene-a material composed of only carbon atoms-exhibiting ferroelectricity3. However, in this work we realize switchable ferroelectricity in Bernal-stacked bilayer graphene sandwiched between two hexagonal boron nitride layers. By introducing a moiré superlattice potential (via aligning bilayer graphene with the top and/or bottom boron nitride crystals), we observe prominent and robust hysteretic behaviour of the graphene resistance with an externally applied out-of-plane displacement field. Our systematic transport measurements reveal a rich and striking response as a function of displacement field and electron filling, and beyond the framework of conventional ferroelectrics. We further directly probe the ferroelectric polarization through a non-local monolayer graphene sensor. Our results suggest an unconventional, odd-parity electronic ordering in the bilayer graphene/boron nitride moiré system. This emergent moiré ferroelectricity may enable ultrafast, programmable and atomically thin carbon-based memory devices.
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The phosphorus recovery efficiency in PAOs-biofilm system is so far limited to stimulating phosphorus release by adding concentrated organic carbon solution during the anaerobic stage. In present study, a PAOs-biofilm sequence batch reactor (BSBR) were operated to investigate whether increase of the phosphorus storage content via DO control can stimulate the release in the biofilm. During the operation of BSBR for 160 days, the phosphorus content in biofilm (Pbiofilm) was doubled via increasing dissolved oxygen (DO) from 4 to 6 mg/L. With the COD of 200 mg/L in the anaerobic phase, the phosphorus release was enhaced, resulting in an significant increase of phosphorus concentration from 94.85 to 179.5 mg/L in recirculated solution. Batch tests further clarified explicitly the increase of Pbiofilm stimulated a phosphorus release rate but this must be balanced since high Pbiofilm reduced the phosphorus removal capacity of the biofilm. With analysis of P31-NMR, Ortho-P and Poly-P were the main phosphorus species stored in biofilm. The microbial cell played a more important role than EPS in phosphorus storage. The dominant phylum in the master reactor was Proteobacteria with an abundance of 64.4%, in which the Rhodocyclaceae was the dominant PAOs with an abundance of 10.1%. The outcome of this study elucidated that increase of phosphorus storage via DO control which facilitated more efficient phosphorus release with much lower organic carbon source consumption during the enrichment of phosphorus. Meanwhile, we provided a new perspective for the recovery of phosphorus in future wastewater treatment plants.
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Biopelículas , Reactores Biológicos , Oxígeno , Fósforo , Eliminación de Residuos LíquidosRESUMEN
Objective To understand the status of healthcare-associated infection(HAI)management in traditional Chinese medicine hospitals as well as integrated traditional Chinese and Western medicine hospitals in Fujian Pro-vince,analyze the existing problems and weak links,and put forward corresponding improvement measures.Methods A questionnaire was designed through literature and expert consultation,from March to April 2016,42 secondary and above traditional Chinese medicine hospitals as well as integrated traditional Chinese and Western medicine hos-pitals in 8 cities of Fujian Province were conducted on-site investigation,data were analyzed.Results A total of 42 hospitals participated in the investigation,92.86% were traditional Chinese medicine hospitals,7.14% were inte-grated traditional Chinese and Western medicine hospitals;all hospitals set up HAI management committees and HAI management groups of clinical departments,there were 100 HAI management professionals(66 were full-time,34 were part-time),nursing staff accounted for 63.00%,junior college and undergraduate personnel accoun-ted for 84.00%,staff with intermediate and senior professional titles accounted for 79.00%.There were significant differences in academic disciplines and education levels among administrators in secondary and tertiary hospitals(P<0.05). All hospitals carried out HAI case surveillance,only 2.38% achieved HAI informational software monito-ring,83.33% carried out comprehensive and targeted monitoring,42.86%,71.43%,and 80.95% of hospitals car-ried out targeted monitoring on multidrug-resistant organisms,surgical site infection,and intensive care unit respec-tively.Conclusion The environment of majority of Chinese medicine hospitals in Fujian Province improved signifi-cantly,organizations of HAI management is rational,staffing and quality of HAI management personnel is imbal-anced,HAI monitoring is still at preliminary stage,lack information management,HAI management in key depart-ments is not optimistic.
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Erchen decoction (ECD) is a traditional Chinese medicine prescription, which is used in the treatment of obesity, hyperlipidemia, fatty liver, diabetes, hypertension, and other diseases caused by retention of phlegm dampness. In this study we investigated the potential mechanism of ECD, using metabolism-disabled mice induced by high-fat diet. Body weight and abdominal circumference were detected. OGTT was measured by means of collecting blood samples from the tail vein. Blood lipid levels and insulin were measured using biochemical assay kit. Real-time PCR was used to measure the CDKAL1 gene expression and western blot was used to measure the protein expression. Through the research, it was found that ECD showed markedly lower body weight and abdominal circumference than those in the HFD group. Consistently, we observed that ECD significantly improved glucose tolerance, promoted the secretion of insulin and decreased the level of TG, TC level. Meanwhile, we observed significantly increased CDKAL1 mRNA and protein level in the ECD group. Therefore, we speculate that the potential molecular mechanism of ECD is to promote the CDKAL1 expression, ameliorate islet cell function, and raise insulin levels to regulate the metabolic disorder.
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The study is aimed to ensure the quality and safety of medicinal plants by using ITS2 DNA barcode technology to identify Corydalis boweri, Meconopsis horridula and their close related species. The DNA of 13 herb samples including C. boweri and M. horridula from Lhasa of Tibet was extracted, ITS PCR were amplified and sequenced. Both assembled and web downloaded 71 ITS2 sequences were removed of 5. 8S and 28S. Multiple sequence alignment was completed and the intraspecific and interspecific genetic distances were calculated by MEGA 5.0, while the neighbor-joining phylogenetic trees were constructed. We also predicted the ITS2 secondary structure of C. boweri, M. horridula and their close related species. The results showed that ITS2 as DNA barcode was able to identify C. boweri, M. horridula as well as well as their close related species effectively. The established based on ITS2 barcode method provides the regular and safe detection technology for identification of C. boweri, M. horridula and their close related species, adulterants and counterfeits, in order to ensure their quality control, safe medication, reasonable development and utilization.