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Background: Sodium selenite and ginsenoside Rh2 (G-Rh2) are well known for their anticancer properties and have been exploited as a new therapeutic approach. In this study, we are interested to evaluate if sodium selenite and G-Rh2 combination results in a synergistic anticancer effect that could contribute to lower systemic toxicity. Methods: We observed the synergistic antitumor effect by combination of sodium selenite and G-Rh2 on HCT-116 human colorectal carcinoma cells in vitro. Cell growth, viability, cell cycle progression and cell apoptosis, Bax/Bcl2 ratio, caspase-3 expression, reactive oxygen species (ROS) production and autophagy were evaluated. Results: The results showed that sodium selenite and G-Rh2 combination have a synergistic effect on cell growth inhibition (57%) compared with sodium selenite (25%) and G-Rh2 alone (28%) after 24h of treatment. This combination also induced G1 and S phase arrest simultaneously and increased apoptosis rate. The results also indicated that Bax/Bcl2 ratio and caspase-3 expression, known as proapoptotic factors, were increased in the presence of sodium selenite and G-Rh2 alone. However, combined drug treatment results in a more significant increase in Bax/Bcl2 ratio and caspase-3 expression (P < 0.05). In addition, this combination significantly induces a depletion of ROS production and autophagy, compared to control, sodium selenite and G-Rh2 alone (P < 0.05). Conclusion: Sodium selenite and ginsenoside Rh2 combination may be a more effective treatment for human colorectal carcinoma and is a promising chemotherapeutic approach for malignant tumors. [ABSTRACT FROM AUTHOR]

Objectives: Cognitive and neuroimaging assessments are still the main clinical practice methods for screening and diagnosing vascular dementia (VaD) patients. This study aimed to establish the neuropsychological characteristics of mild‐tomoderate subcortical ischaemic vascular dementia (SIVD) patients, find an optimal cognitive marker for differentiating them from Alzheimer's disease (AD) patients, and explore the correlation between cognitive function and total small vessel disease (SVD) burden. Methods: SIVD (n = 60) and AD (n = 30) patients and cognitively unimpaired healthy controls (HCs; n = 30) were recruited from our longitudinal MRI AD and SIVD study (ChiCTR1900027943) and received a comprehensive neuropsychological assessment and a multimodal MRI scan. Cognitive performance and MRI SVD markers were compared between groups. Combined cognitive scores were established for differentiating between SIVD and AD patients. Correlations between cognitive function and total SVD scores were analysed in dementia patients. Results: SIVD patients showed poorer performance in information processing speed and better performance in memory, language, and visuospatial function than AD patients, although all cognitive domains were impaired in both groups compared with HCs. Combined cognitive scores showed an area under the curve of 0.727 (95%CI 0.62–0.84, p < 0.001) for differentiating SIVD and AD patients. Auditory Verbal Learning Test recognition scores were negatively correlated with total SVD scores in SIVD patients. Conclusions: Our results suggested that neuropsychological assessments, specifically combined tests including episodic memory, information processing speed, language and visuospatial ability, are useful in the clinical differentiation between SIVD and AD patients. Moreover, cognitive dysfunction was partly correlated with MRI SVD burden in SIVD patients. [ABSTRACT FROM AUTHOR]

Background: Kimura disease (KD) presents a diagnostic challenge to clinicians because of its rarity and atypical symptoms in its early stages, and it is difficult to treat and prone to recurrence or involvement of other organs. Aims and Objectives: This study aims to investigate the possible relevance of renal involvement and recurrence by analysing the clinical presentations, laboratory results, histopathological features, therapeutic data and follow-up results of KD. Materials and Methods: A total of 27 patients diagnosed as KD in two hospitals from January 1999 to December 2021 were analysed retrospectively in this study based on the diagnosis of histopathology. Results: KD mainly affected male more than female (8:1) with the onset age ranging from 3 to 58 years (median 29.8 years). The common initial symptoms included subcutaneous soft tissue or lymph node enlargement, non-specific skin lesions and proteinuria. One patient presented cough and expectoration as the first symptoms. KD patients often had high levels of serum immunoglobulin E (IgE) and basophils, which exhibited a significantly positive correlation with renal involvement and recurrence (p < 0.05). Early mass resection could prevent the development of nephritis and decrease the risk of relapse (p < 0.05). Conclusion: KD should be noted in patients presenting with intractable and relapsing atopic skin lesions and (or) subcutaneous mass. Patients with high levels of serum IgE and blood basophils may be prone to developing KD-associated nephritis and predict a high risk of recurrence. Early surgical removal of the mass may result in a better prognosis. [ABSTRACT FROM AUTHOR]

Objectives. The present study aimed to investigate the effects of guided imagery training on heart rate variability in individuals while performing spaceflight emergency tasks. Materials and Methods. Twenty-one student subjects were recruited for the experiment and randomly divided into two groups: imagery group (n=11) and control group (n=10). The imagery group received instructor-guided imagery (session 1) and self-guided imagery training (session 2) consecutively, while the control group only received conventional training. Electrocardiograms of the subjects were recorded during their performance of nine spaceflight emergency tasks after imagery training. Results. In both of the sessions, the root mean square of successive differences (RMSSD), the standard deviation of all normal NN (SDNN), the proportion of NN50 divided by the total number of NNs (PNN50), the very low frequency (VLF), the low frequency (LF), the high frequency (HF), and the total power (TP) in the imagery group were significantly higher than those in the control group. Moreover, LF/HF of the subjects after instructor-guided imagery training was lower than that after self-guided imagery training. Conclusions. Guided imagery was an effective regulator for HRV indices and could be a potential stress countermeasure in performing spaceflight tasks. [ABSTRACT FROM AUTHOR]

Objective: The aim of the study was to investigate the effectiveness and safety of low-frequency repetitive transcranial magnetic stimulation (LF-rTMS) in patients with poststroke aphasia. Method: We comprehensively searched for eligible studies from 11 electronic medical databases from their inception to February 20, 2019. Randomized controlled trials reporting the effectiveness of LF-rTMS for patients with poststroke aphasia were included. The primary outcome was language ability. The secondary outcomes were functional communication and adverse events. The methodological quality of the randomized controlled trials was evaluated by the Cochrane Back Review Group Risk of Bias Assessment Criteria. Results: Of the 567 records retrieved, 18 studies with a total of 536 participants were included. All the included studies were of relatively acceptable methodological quality. All studies but one used LF-rTMS + speech and language therapy (SLT), not LF-rTMS alone. The meta-analysis showed that LF-rTMS had beneficial effects for patients with aphasia after a stroke in terms of naming, repetition, comprehension, written language, and functional communication. The subgroup analyses of language performance showed positive effects of LF-rTMS among stroke patients with chronic aphasia and acute aphasia. LF-rTMS + SLT had effects on language performance that were superior to the sham rTMS + SLT and SLT alone. A shorter LF-rTMS duration benefited language performance more than a longer duration. Additionally, 20 min of LF-rTMS per session produced a positive effect on language ability for patients with aphasia after a stroke. No adverse events were reported. Conclusions: LF-rTMS + SLT is an effective and safe method for patients with poststroke aphasia to improve their language performance. Additionally, the most commonly used LF-rTMS protocol for patients with aphasia after a stroke was 90% of the resting motor threshold 20 min per day, 5 days per week, for 2 weeks. [ABSTRACT FROM AUTHOR]

Background. Traditional Chinese medicine (TCM) is an individualized medicine by observing the symptoms and signs (symptoms in brief) of patients. We aim to extract the meaningful herb-symptom relationships from large scale TCM clinical data. Methods. To investigate the correlations between symptoms and herbs held for patients, we use four clinical data sets collected from TCM outpatient clinical settings and calculate the similarities between patient pairs in terms of the herb constituents of their prescriptions and their manifesting symptoms by cosine measure. To address the large-scale multiple testing problems for the detection of herbsymptom associations and the dependence between herbs involving similar efficacies, we propose a network-based correlation analysis (NetCorrA) method to detect the herb-symptom associations. Results. The results show that there are strong positive correlations between symptom similarity and herb similarity, which indicates that herb-symptom correspondence is a clinical principle adhered to by most TCM physicians. Furthermore, the NetCorrA method obtains meaningful herb-symptom associations and performs better than the chi-square correlation method by filtering the false positive associations. Conclusions. Symptoms play significant roles for the prescriptions of herb treatment. The herb-symptom correspondence principle indicates that clinical phenotypic targets (i.e., symptoms) of herbs exist and would be valuable for further investigations. physicians can encourage the development of novel clinical prescriptions and the detection of effective empirical TCM clinical therapies [1]. In recent years, data mining methods have been widely applied to TCM clinical data for various clinical knowledge discoveries like syndrome differentiation, herb combination regularity, and patient clustering [2]. It is a significant task in TCM research to establish a data driven TCM clinical medicine research model based on real-world practices [3]. Given that there exist rich empirical and theoretical knowledge underlying TCM data, it is hoped that data mining would help the extraction of reliable and novel knowledge from the collected data. [ABSTRACT FROM AUTHOR]