130 research outputs found

    Effect of “HuChou San” on ABCC11 mRNA levels and MRP8 protein expression in skin tissue from bilateral axilla of axillary osmidrosis patients

    Get PDF
    Purpose: To investigate the effect of “HuChou San” on axillary osmidrosis (AO) by measuring ABCC11 mRNA levels and MRP8 protein expression in axillary skin tissues from “HuChou San”-treated AO patients.Methods: Forty AO patients undergoing treatment at Shanghai Ninth People’s Hospital were enrolled in the study. Tissues from axillary regions were initially treated for 10 min with a solution of copper sulphate and zinc sulphate, followed by treatment with gentle application of “HuChou San” once daily for 3 months. Ten healthy individuals served as untreated control. Axillary skin tissue was surgically collected at 0, 1, 2, and 3 months of treatment. The expressions of ABCC11 mRNA and MRP8 protein in axillary skin samples were determined using qPCR and Western blot, respectively.Results: The qPCR and Western blot results showed higher levels of ABCC11 mRNA and MRP8 protein in AO patient tissues than in healthy controls. However, “HuChou San” treatment markedly reduced tissue levels of ABCC11 mRNA and MRP8 protein (p < 0.05), when compared to tissues extracted prior to treatment. These effects were time-dependent and increased as treatment duration increased (p < 0.05).Conclusion: “HuChou San” powder significantly and time-dependently reduced ABCC11 mRNA and MRP8 protein expressions in AO axillary tissue of AO patients. It is known that ABCC11 mRNA and MRP8 protein are two important indices of AO. Therefore, the findings of this study suggest that“HuChou San” has potentials for use as a novel alternative therapy for AO. Keywords: ABCC11 mRNA, MRP8 protein, Axillary osmidrosis, HuChou Sa

    De novo entecavir+adefovir dipivoxil+lamivudine triple-resistance mutations resulting from sequential therapy with adefovir dipivoxil, and lamivudine

    Get PDF
    Additional file 4: Figure S3. Electropherogram of rtM204 V+rtL180 M+rtA181 V+rtI169 V clone in Patient 3 (GenBank accession number: KU751729)

    High-throughput phenotyping of plant leaf morphological, physiological, and biochemical traits on multiple scales using optical sensing

    Get PDF
    Acquisition of plant phenotypic information facilitates plant breeding, sheds light on gene action, and can be applied to optimize the quality of agricultural and forestry products. Because leaves often show the fastest responses to external environmental stimuli, leaf phenotypic traits are indicators of plant growth, health, and stress levels. Combination of new imaging sensors, image processing, and data analytics permits measurement over the full life span of plants at high temporal resolution and at several organizational levels from organs to individual plants to field populations of plants. We review the optical sensors and associated data analytics used for measuring morphological, physiological, and biochemical traits of plant leaves on multiple scales. We summarize the characteristics, advantages and limitations of optical sensing and data-processing methods applied in various plant phenotyping scenarios. Finally, we discuss the future prospects of plant leaf phenotyping research. This review aims to help researchers choose appropriate optical sensors and data processing methods to acquire plant leaf phenotypes rapidly, accurately, and cost-effectively

    Soil Moisture but Not Warming Dominates Nitrous Oxide Emissions During Freeze–Thaw Cycles in a Qinghai–Tibetan Plateau Alpine Meadow With Discontinuous Permafrost

    Get PDF
    Large quantities of organic matter are stored in frozen soils (permafrost) within the Qinghai–Tibetan Plateau (QTP). The most of QTP regions in particular have experienced significant warming and wetting over the past 50 years, and this warming trend is projected to intensify in the future. Such climate change will likely alter the soil freeze–thaw pattern in permafrost active layer and toward significant greenhouse gas nitrous oxide (N2O) release. However, the interaction effect of warming and altered soil moisture on N2O emission during freezing and thawing is unclear. Here, we used simulation experiments to test how changes in N2O flux relate to different thawing temperatures (T5–5°C, T10–10°C, and T20–20°C) and soil volumetric water contents (VWCs, W15–15%, W30–30%, and W45–45%) under 165 F–T cycles in topsoil (0–20 cm) of an alpine meadow with discontinuous permafrost in the QTP. First, in contrast to the prevailing view, soil moisture but not thawing temperature dominated the large N2O pulses during F–T events. The maximum emissions, 1,123.16–5,849.54 ÎŒg m–2 h–1, appeared in the range of soil VWC from 17% to 38%. However, the mean N2O fluxes had no significant difference between different thawing temperatures when soil was dry or waterlogged. Second, in medium soil moisture, low thawing temperature is more able to promote soil N2O emission than high temperature. For example, the peak value (5,849.54 ÎŒg m–2 h–1) and cumulative emissions (366.6 mg m–2) of W30T5 treatment were five times and two to four times higher than W30T10 and W30T20, respectively. Third, during long-term freeze–thaw cycles, the patterns of cumulative N2O emissions were related to soil moisture. treatments; on the contrary, the cumulative emissions of W45 treatments slowly increased until more than 80 cycles. Finally, long-term freeze–thaw cycles could improve nitrogen availability, prolong N2O release time, and increase N2O cumulative emission in permafrost active layer. Particularly, the high emission was concentrated in the first 27 and 48 cycles in W15 and W30, respectively. Overall, our study highlighted that large emissions of N2O in F–T events tend to occur in medium moisture soil at lower thawing temperature; the increased number of F–T cycles may enhance N2O emission and nitrogen mineralization in permafrost active layer

    Identification of Tea Storage Times by Linear Discrimination Analysis and Back-Propagation Neural Network Techniques Based on the Eigenvalues of Principal Components Analysis of E-Nose Sensor Signals

    Get PDF
    An electronic nose (E-nose) was employed to detect the aroma of green tea after different storage times. Longjing green tea dry leaves, beverages and residues were detected with an E-nose, respectively. In order to decrease the data dimensionality and optimize the feature vector, the E-nose sensor response data were analyzed by principal components analysis (PCA) and the five main principal components values were extracted as the input for the discrimination analysis. The storage time (0, 60, 120, 180 and 240 days) was better discriminated by linear discrimination analysis (LDA) and was predicted by the back-propagation neural network (BPNN) method. The results showed that the discrimination and testing results based on the tea leaves were better than those based on tea beverages and tea residues. The mean errors of the tea leaf data were 9, 2.73, 3.93, 6.33 and 6.8 days, respectively

    Is transcranial direct current stimulation, alone or in combination with antidepressant medications or psychotherapies, effective in treating major depressive disorder? A systematic review and meta-analysis.

    Get PDF
    BACKGROUND: Transcranial direct current stimulation (tDCS) has shown mixed results for depression treatment. The efficacies of tDCS combination therapies have not been investigated deliberately. This review aims to evaluate the clinical efficacy of tDCS as a monotherapy and in combination with medication, psychotherapy, and ECT for treating adult patients with major depressive disorder (MDD) and identified the factors influencing treatment outcome measures (i.e. depression score, dropout, response, and remission rates). METHODS: The systematic review was performed in PubMed/Medline, EMBASE, PsycINFO, Web of Sciences, and OpenGrey. Two authors performed independent literature screening and data extraction. The primary outcomes were the standardized mean difference (SMD) for continuous depression scores after treatment and odds ratio (OR) dropout rate; secondary outcomes included ORs for response and remission rates. Random effects models with 95% confidence intervals were employed in all outcomes. The overall effect of tDCS was investigated by meta-analysis. Sources of heterogeneity were explored via subgroup analyses, meta-regression, sensitivity analyses, and assessment of publication bias. RESULTS: Twelve randomised, sham-controlled trials (active group: N = 251, sham group: N = 204) were included. Overall, the integrated depression score of the active group after treatment was significantly lower than that of the sham group (g = - 0.442, p = 0.017), and further analysis showed that only tDCS + medication achieved a significant lower score (g = - 0.855, p < 0.001). Moreover, this combination achieved a significantly higher response rate than sham intervention (OR = 2.7, p = 0.006), while the response rate remained unchanged for the other three therapies. Dropout and remission rates were similar in the active and sham groups for each therapy and also for the overall intervention. The meta-regression results showed that current intensity is the only predictor for the response rate. None of publication bias was identified. CONCLUSION: The effect size of tDCS treatment was obviously larger in depression score compared with sham stimulation. The tDCS combined selective serotonin re-uptake inhibitors is the optimized therapy that is effective on depression score and response rate. tDCS monotherapy and combined psychotherapy have no significant effects. The most important parameter for optimization in future trials is treatment strategy

    miRNA expression differentiation induced by polyploidization in newly formed triploids of black poplar

    Get PDF
    During whole genomic duplication (WGD) events, micro RNAs (miRNAs) are involved in stabilization of chromatin and genome and epigenetic regulation of gene expression. In this study, a newly induced triploid group of hybrids between sect. Tacamahaca and sect. Aigeiros in Populus, was characterized for genome-wide miRNA expression after WGD. Seven miRNA libraries (male parent, female parent, group of triploid offspring’s, group of diploid offspring, and three triploid individuals) were constructed and variation of miRNA expression from diploid parents to triploid offspring’s as well as distinction between triploid and diploid offspring were analyzed. The results showed that a total of 240 miRNAs were predicted including 187 known miRNAs and 53 novel miRNAs. 81.25% of miRNAs in triploid offspring were non-additively expressed in which 52.31% were down-regulated. A novel miRNA with 24nt in length choosing adenine as its first base was found in triploid offspring group suggesting its potential role in regulation of DNA methylation after WGD. A total of 18 novel miRNAs were specifically expressed in the library of triploid group. Targeted genes of different expressed miRNAs in three comparison sets (triploid offspring group vs female parent, male parent, and diploid offspring group) were all enriched in ADP binding (GO: 0043531; FDR < 0.05). KEGG enrichment pathway of all three comparison sets was plant-pathogen interaction. This study revealed an essential role of miRNAs involving in epigenetic regulation after WGD in poplar and provided a good model for further studies of polyploidization advantages in woody plant

    Association of Psychological Characteristics and Functional Dyspepsia Treatment Outcome: A Case-Control Study

    Get PDF
    This study was to investigate the association of psychological characteristics and functional dyspepsia treatment outcome. 109 patients who met the criteria for FD were enrolled. Eysenck Personality Questionnaire (EPQ), Symptom Checklist 90 (SCL90), and the Pittsburgh Sleep Quality Index (PSQI) were used to measure personality, psychological symptoms, and sleep quality in our patients. Leeds Dyspepsia Questionnaire (LDQ) was used to assess dyspeptic symptoms at baseline and after eight weeks of treatment. The LDQ scores change after therapy, and the degraded rate of LDQ was used to assess the prognosis of patients. Logistic regression model was used to assess the effect of the personality, psychological symptoms, and sleep quality on the prognosis of patients. Our result revealed that poor sleep quality (OR=7.68, 95% CI 1.83–32.25) and bad marriage status (OR=1.22, 95% CI 1.10–1.36) had the negative effect on the prognosis of FD, while extroversion in personality traits (OR=0.86, 95% CI 0.76–0.96) had positive effect on the prognosis of FD. We should pay attention to the sleep quality, the personality, and the marriage status of FD patients; psychological intervention may have benefit in refractory FD

    Intracytoplasmic sperm injection (ICSI) versus conventional in vitro fertilisation (IVF) in couples with non-severe male infertility (NSMI-ICSI) : protocol for a multicentre randomised controlled trial

    Get PDF
    Funding This study was supported by National Key Research and Development Program of China (2016YFC1000201; 2018YFC1002104) and the National Science Foundation of China (81730038). The study funders had no rule in the study design, implementation, analysis, manuscript, preparation or decision to submit this article for publication.Peer reviewedPublisher PD
    • 

    corecore