Extraction of Lentinus Edodes Polysaccharides with Ultrasound Enhanced with Deep Eutectic Solvent and Their Structural Characterization and Antioxidant Activity.

Ultrasound extraction (UE) enhanced with deep eutectic solvent (DES) was used to extract Lentinus edodes polysaccharides. Box-Behnken design (BBD) was applied to investigate the influences of water content (10-90 %), solid-liquid solvent (1 : 10-1 : 50 g/mL), time (4-12 min), temperature (40-80 °C) and ultrasonic power (100-500 W) on the yield of Lentinus edodes polysaccharides. The optimal extraction conditions were ultrasonic power of 300 W, extraction time of 8 min, water content of 80 %, a solid-liquid ratio of 1 : 30 g/mL and a temperature of 60 °C, respectively. The highest extraction yield of Lentinus edodes polysaccharide was 10.17 % under optimal conditions. The results of FT-IR, SEM, and monosaccharide composition confirmed that the extracts possessed the characteristics of polysaccharides. In addition, the polysaccharides obtained with the UE enhanced with DES method exhibited higher antioxidant activities than the polysaccharides extracted with the UE method and HWE method. This extraction method can further expand the production efficiency and structural diversity of Lentinus edodes polysaccharides and meet the supply and demand relationship. It can be foreseen that this method can be applied to the extraction of more active substances.

PharmKG: a dedicated knowledge graph benchmark for bomedical data mining.

Biomedical knowledge graphs (KGs), which can help with the understanding of complex biological systems and pathologies, have begun to play a critical role in medical practice and research. However, challenges remain in their embedding and use due to their complex nature and the specific demands of their construction. Existing studies often suffer from problems such as sparse and noisy datasets, insufficient modeling methods and non-uniform evaluation metrics. In this work, we established a comprehensive KG system for the biomedical field in an attempt to bridge the gap. Here, we introduced PharmKG, a multi-relational, attributed biomedical KG, composed of more than 500 000 individual interconnections between genes, drugs and diseases, with 29 relation types over a vocabulary of ~8000 disambiguated entities. Each entity in PharmKG is attached with heterogeneous, domain-specific information obtained from multi-omics data, i.e. gene expression, chemical structure and disease word embedding, while preserving the semantic and biomedical features. For baselines, we offered nine state-of-the-art KG embedding (KGE) approaches and a new biological, intuitive, graph neural network-based KGE method that uses a combination of both global network structure and heterogeneous domain features. Based on the proposed benchmark, we conducted extensive experiments to assess these KGE models using multiple evaluation metrics. Finally, we discussed our observations across various downstream biological tasks and provide insights and guidelines for how to use a KG in biomedicine. We hope that the unprecedented quality and diversity of PharmKG will lead to advances in biomedical KG construction, embedding and application.

Advances in lipo-solubility delivery vehicles for curcumin: bioavailability, precise targeting, possibilities and challenges.

BACKGROUND: Curcumin (Cur) is a natural pigment containing a diketone structure, which has attracted extensive attention due to its strong functional activities. However, the low solubility and poor stability of Cur limit its low bioavailability and multi-function. It is essential to develop effective measures to improve the unfavorable nature of Cur and maximize its potential benefits in nutritional intervention. SCOPE AND APPROACH: The focus of this review is to emphasize the construction of lipo-solubility delivery vehicles for Cur, including emulsion, nanoliposome and solid liposome. In addition, the potential benefits of vehicles-encapsulated Cur in the field of precise nutrition were summarized, including high targeting properties and multiple disease interventions. Further, the deficiencies and prospects of Cur encapsulated in vehicles for precise nutrition were discussed. KEY FINDINGS AND CONCLUSIONS: The well-designed lipo-solubility delivery vehicles for Cur can improve its stability in food processing and the digestion in vivo. To meet the nutritional requirements of special people for Cur-based products, the improvement of the bioavailability by using delivery vehicles will provide a theoretical basis for the precise nutrition of Cur in functional food.

Structural properties and bioavailability of curcumin were summarized.The practical problems and challenges in the utilization of curcumin were discussed.Various technologies for preparing lipo-solubility delivery vehicles for curcumin were described.The design of delivery vehicles for curcumin and intervention strategies in precise nutrition was reviewed.

Etiology of acute febrile illness in the peruvian amazon as determined by modular formatted quantitative PCR: a protocol for RIVERA, a health facility-based case-control study.

BACKGROUND: The study of the etiology of acute febrile illness (AFI) has historically been designed as a prevalence of pathogens detected from a case series. This strategy has an inherent unrealistic assumption that all pathogen detection allows for causal attribution, despite known asymptomatic carriage of the principal causes of acute febrile illness in most low- and middle-income countries (LMICs). We designed a semi-quantitative PCR in a modular format to detect bloodborne agents of acute febrile illness that encompassed common etiologies of AFI in the region, etiologies of recent epidemics, etiologies that require an immediate public health response and additional pathogens of unknown endemicity. We then designed a study that would delineate background levels of transmission in the community in the absence of symptoms to provide corrected estimates of attribution for the principal determinants of AFI. METHODS: A case-control study of acute febrile illness in patients ten years or older seeking health care in Iquitos, Loreto, Peru, was planned. Upon enrollment, we will obtain blood, saliva, and mid-turbinate nasal swabs at enrollment with a follow-up visit on day 21-28 following enrollment to attain vital status and convalescent saliva and blood samples, as well as a questionnaire including clinical, socio-demographic, occupational, travel, and animal contact information for each participant. Whole blood samples are to be simultaneously tested for 32 pathogens using TaqMan array cards. Mid-turbinate samples will be tested for SARS-CoV-2, Influenza A and Influenza B. Conditional logistic regression models will be fitted treating case/control status as the outcome and with pathogen-specific sample positivity as predictors to attain estimates of attributable pathogen fractions for AFI. DISCUSSION: The modular PCR platforms will allow for reporting of all primary results of respiratory samples within 72 h and blood samples within one week, allowing for results to influence local medical practice and enable timely public health responses. The inclusion of controls will allow for a more accurate estimate of the importance of specific prevalent pathogens as a cause of acute illness. STUDY REGISTRATION: Project 1791, Registro de Proyectos de Investigación en Salud Pública (PRISA), Instituto Nacional de Salud, Perú.

Interpretable machine-learning model for Predicting the Convalescent COVID-19 patients with pulmonary diffusing capacity impairment.

INTRODUCTION: The COVID-19 patients in the convalescent stage noticeably have pulmonary diffusing capacity impairment (PDCI). The pulmonary diffusing capacity is a frequently-used indicator of the COVID-19 survivors' prognosis of pulmonary function, but the current studies focusing on prediction of the pulmonary diffusing capacity of these people are limited. The aim of this study was to develop and validate a machine learning (ML) model for predicting PDCI in the COVID-19 patients using routinely available clinical data, thus assisting the clinical diagnosis. METHODS: Collected from a follow-up study from August to September 2021 of 221 hospitalized survivors of COVID-19 18 months after discharge from Wuhan, including the demographic characteristics and clinical examination, the data in this study were randomly separated into a training (80%) data set and a validation (20%) data set. Six popular machine learning models were developed to predict the pulmonary diffusing capacity of patients infected with COVID-19 in the recovery stage. The performance indicators of the model included area under the curve (AUC), Accuracy, Recall, Precision, Positive Predictive Value(PPV), Negative Predictive Value (NPV) and F1. The model with the optimum performance was defined as the optimal model, which was further employed in the interpretability analysis. The MAHAKIL method was utilized to balance the data and optimize the balance of sample distribution, while the RFECV method for feature selection was utilized to select combined features more favorable to machine learning. RESULTS: A total of 221 COVID-19 survivors were recruited in this study after discharge from hospitals in Wuhan. Of these participants, 117 (52.94%) were female, with a median age of 58.2 years (standard deviation (SD) = 12). After feature selection, 31 of the 37 clinical factors were finally selected for use in constructing the model. Among the six tested ML models, the best performance was accomplished in the XGBoost model, with an AUC of 0.755 and an accuracy of 78.01% after experimental verification. The SHAPELY Additive explanations (SHAP) summary analysis exhibited that hemoglobin (Hb), maximal voluntary ventilation (MVV), severity of illness, platelet (PLT), Uric Acid (UA) and blood urea nitrogen (BUN) were the top six most important factors affecting the XGBoost model decision-making. CONCLUSION: The XGBoost model reported here showed a good prognostic prediction ability for PDCI of COVID-19 survivors during the recovery period. Among the interpretation methods based on the importance of SHAP values, Hb and MVV contributed the most to the prediction of PDCI outcomes of COVID-19 survivors in the recovery period.

Intervention Effects of Deer-Tendon Collagen Hydrolysates on Osteoporosis In Vitro and In Vivo.

Deer tendon, a deer processing byproduct, is an excellent protein source for the preparation of peptides for improving osteoporosis by its high protein content and high nutritional value. The optimal process of collagen acid extraction was implemented and the results showed that the acid concentration was 7%, the material-liquid ratio was 1:25, and the soaking time was 48 h. DTCHs could promote MC3T3-E1 cell proliferation and increase alkaline phosphatase activities in vitro. In addition, compared with the model group, the DTCHs treatment groups with an oral dosage of 350, 750, and 1500 mg/kg rat/day could significantly improve the shape, weight, bone mechanics, and alkaline phosphatase activities of tail-suspended mice. Bone microstructure and mineralization also recovered significantly in vivo. This result is expected to provide the structural and biological information for DTCHs-based functional foods.

ASH1L contributes to oocyte apoptosis by regulating DNA damage.

In female mammals, the size of the initially established primordial follicle pool within the ovaries determines the reproductive life span. Interestingly, the establishment of the primordial follicle pool is accompanied by a remarkable programmed oocyte loss for unclear reasons. Here, we identify a new role of ASH1-like histone lysine methyltransferase (ASH1L) in controlling the apoptosis of oocytes during meiotic prophase I in mice. Our results showed that overexpression of Ash1l led to a dramatic loss of fetal oocytes via apoptosis, which subsequently resulted in a reduced capacity of the primordial follicle pool. Overexpression of Ash1l also led to a deficiency in DNA double-strand break repair associated with premature upregulation of p63 and phosphorylated checkpoint kinase 2 (p-CHK2), the major genome guardian of the female germline, following Ash1l overexpression in fetal ovaries. In summary, ASH1L is one of the indispensable epigenetic molecules that acts as a guardian of the genome. It protects oocyte genome integrity and removes oocytes with serious DNA damage by regulating the expression of p63 and p-CHK2 during meiotic prophase I in mice. Our study provides a perspective on the physiological regulatory role of DNA damage checkpoint signaling in fetal oocyte guardianship and female fertility.

Impact of Biannual Mass Azithromycin Treatment on Enteropathogen Carriage in Children <5 Years Old in Niger.

We analyzed samples obtained at baseline and 24 months in a mass azithromycin administration trial in Niger using quantitative polymerase chain reaction. In villages randomized to azithromycin, Shigella was the only pathogen reduced at 24 months (prevalence ratio, 0.36 [95% confidence interval: .17-.79]; difference in log quantity, -.42 [-.75 to -.10]).

Long non-coding RNA FLVCR1-AS1 functions as a ceRNA to aggravate cervical cancer cell growth by the miR-381-3p/MAGT1 axis.

PURPOSE: Cervical cancer (CC), as one of the most widespread gynecological malignancies in the world, severely threatens women health. Long non-coding RNA (lncRNA) could exert vital functions in assorted cancers, including CC. Although FLVCR heme transporter 1 antisense RNA 1 (FLVCR1-AS1) has been recognized as a critical effector in different cancers, its precise role and mechanisms have never been studied in CC. METHODS: RT-qPCR analysis was done for the measurement of the expression of FLVCR1-AS1, magnesium transporter 1 (MAGT1) and miR-381-3p in CC cells. Supported by western blot analysis, functional assays were done to evaluate the CC cell phenotype, while mechanism assays were done to explore the putative correlation among genes. RESULTS: In CC cells, FLVCR1-AS1 and MAGT1 were upregulated and miR-381-3p was downregulated. FLVCR1-AS1 or MAGT1 knockdown or miR-381-3p augment restrained CC cell proliferation, migration and invasion, but facilitated cell apoptosis. FLVCR1-AS1 sponged miR-381-3p, and MAGT1 was targeted by the FLVCR1-AS1/miR-381-3p axis. It was also revealed that the inhibitory influences of FLVCR1-AS1 silence on CC cell malignant behaviors were countervailed by MAGT1 overexpression. CONCLUSION: FLVCR1-AS1 exacerbated the malignant phenotype of CC cells via the miR-381-3p/MAGT1 axis.

Nitric Oxide Extends the Postharvest Life of Water Bamboo Shoots Partly by Maintaining Mitochondrial Structure and Energy Metabolism.

Harvested water bamboo shoots can be stored for only a few days before they lose weight and become soft. Nitrogen oxide (NO) and modified atmosphere packaging (MAP) have previously been used to prolong horticultural crop storage. In the present study, we analyzed the joint effect of these two methods on extending the postharvest quality of water bamboo shoots. Water bamboo shoots were treated with (1) 30 µL L-1 NO, (2) MAP, and (3) a combination of NO and MAP. The NO treatment delayed the softness and weight loss through maintaining the integrity of the mitochondrial ultrastructure and enhancing the ATP level by activating the expressions and activities of succinic dehydrogenase, malic acid dehydrogenase, and cytochrome oxidase. MAP improved the effect of NO on the mitochondrial energy metabolism. These results indicate that NO and MAP treatments are effective at suppressing the quality deterioration of water bamboo shoots, MAP improves the effect of NO in extending postharvest life, and NO may be the main effective factor in the combination of NO and MAP.

Subcritical Water Enhanced with Deep Eutectic Solvent for Extracting Polysaccharides from Lentinus edodes and Their Antioxidant Activities.

In the present study, subcritical water extraction (SWE) assisted with deep eutectic solvent (DES) is used to extract Lentinus edodes polysaccharides (LEP). In addition, the antioxidant activity of the polysaccharide samples was also investigated. Based on a single factor test and response surface test, the optimal extraction factors were a liquid-solid solvent of 40:1 mL/g, extraction temperature of 147.23 °C, water content of 39.76% and extraction time of 17.58 min. Under these extraction conditions, the yield of LEP was 6.26 ± 0.08%. Compared with the SWE and hot water extraction (HWE), it improved by 19.24% and 17.01%, respectively. In addition, the results of monosaccharide composition, molecular weight, FT-IR, UV and SEM confirmed that the extracts had the features of polysaccharides. Interestingly, the polysaccharides obtained with the SWE assisted with the DES procedure showed a higher DPPH scavenging activity, hydroxyl radical scavenging activity and hydrogen peroxide scavenging activity, which indicated that the polysaccharides with this method had a stronger antioxidant activity. These findings demonstrated that the SWE-assisted DES is a strong method to obtain polysaccharides from Lentinus edodes for food, biopharmaceutical and other industrial production.

Pathogens That Cause Acute Febrile Illness Among Children and Adolescents in Burkina Faso, Madagascar, and Sudan.

BACKGROUND: The etiology and optimal clinical management of acute febrile illness (AFI) is poorly understood. METHODS: Blood samples taken from study participants with acute fever (≥37.5°C) or a history of fever and recruited into the previous Typhoid Fever Surveillance in Africa (TSAP) study were evaluated using a polymerase chain reaction (PCR)-based TaqMan-Array Card designed to detect a panel of bacterial, viral, and parasitic pathogens. Clinical metadata were also assessed. RESULTS: A total of 615 blood samples available for analysis originated from Burkina Faso (n = 53), Madagascar (n = 364), and Sudan (n = 198) and were taken from participants ranging in age from 0-19 years. Through the TaqMan-Array Card, at least 1 pathogen was detected in 62% (33 of 53), 24% (86 of 364), and 60% (118 of 198) of specimens from Burkina Faso, Madagascar, and Sudan, respectively. The leading identified pathogen overall was Plasmodium spp., accounting for 47% (25 of 53), 2.2% (8 of 364), and 45% (90 of 198) of AFI at the respective sites. In Madagascar, dengue virus was the most prevalent pathogen (10.2%). Overall, 69% (357 of 516) of patients with clinical diagnoses of malaria, respiratory infection, or gastrointestinal infection were prescribed a World Health Organization guideline-recommended empiric antibiotic, whereas only 45% (106 of 237) of patients with pathogens detected were treated with an antibiotic exerting likely activity. CONCLUSIONS: A PCR approach for identifying multiple bacterial, viral, and parasitic pathogens in whole blood unveiled a diversity of previously undetected pathogens in AFI cases and carries implications for the appropriate management of this common syndrome.

Evaluation of Molecular Serotyping Assays for Shigella flexneri Directly on Stool Samples.

Shigella flexneri is prevalent worldwide and is the most common Shigella species in many countries. At least 19 S. flexneri serotypes exist, and serotype information is important for epidemiologic and vaccine development purposes. We evaluated the performance of real-time PCR assays for O-antigen modification genes to identify the major serotypes on isolates and direct stool samples. The assays were formulated into two multiplex panels: one panel included gtrII, gtrV, gtrX, oac, and wzx6 to identify S. flexneri serotypes 2a, 2b, 3a, 5a, 5b, 6, and X, and the other panel included ipaH, gtrI, gtrIc, and gtrIV to confirm Shigella detection and further identify S. flexneri serotypes 1a, 1b, 1d, 3b, 4a, 4b, 7a, and 7b. We first evaluated 283 Shigella isolates, and PCR serotyping demonstrated 97.0% (95% confidence interval, 93.0% to 99.0%) sensitivity and 99.9% (99.9% to 100%) specificity compared to conventional serotyping. The assays then were utilized on direct stool specimens. A quantitative detection algorithm was developed with a validation set of 174 Shigella culture-positive stool samples and further tested with a derivation set of 164 samples. The PCR serotyping on stool achieved 93% (89% to 96%) sensitivity and 99% (99% to 100%) specificity compared to serotyping. Most discrepancies were genotypic-phenotypic discordance, not genotypic failure. These real-time PCR assays provide an efficient and novel tool for S. flexneri serotype identification.

Early Use of Corticosteroid May Prolong SARS-CoV-2 Shedding in Non-Intensive Care Unit Patients with COVID-19 Pneumonia: A Multicenter, Single-Blind, Randomized Control Trial.

BACKGROUND: There is still no clinical evidence available to support or to oppose corticosteroid treatment for coronavirus disease 2019 (COVID-19) pneumonia. OBJECTIVE: To investigate the efficacy and safety of corticosteroid given to the hospitalized patients with COVID-19 pneumonia. METHODS: This was a prospective, multicenter, single-blind, randomized control trial. Adult patients with COVID-19 pneumonia who were admitted to the general ward were randomly assigned to either receive methylprednisolone or not for 7 days. The primary end point was the incidence of clinical deterioration 14 days after randomization. RESULTS: We terminated this trial early because the number of patients with COVID-19 pneumonia in all the centers decreased in late March. Finally, a total of 86 COVID-19 patients underwent randomization. There was no difference of the incidence of clinical deterioration between the methylprednisolone group and control group (4.8 vs. 4.8%, p = 1.000). The duration of throat viral RNA detectability in the methylprednisolone group was 11 days (interquartile range, 6-16 days), which was significantly longer than that in the control group (8 days [2-12 days], p = 0.030). There were no significant differences between the 2 groups in other secondary outcomes. Mass cytometry discovered CD3+ T cells, CD8+ T cells, and NK cells in the methylprednisolone group which were significantly lower than those in the control group after randomization (p < 0.05). CONCLUSIONS: From this prematurely closed trial, we found that the short-term early use of corticosteroid could suppress the immune cells, which may prolong severe acute respiratory syndrome coronavirus 2 shedding in patients with COVID-19 pneumonia. TRIAL REGISTRATION: ClinicalTrials.gov, NCT04273321.

Impact of Water Quality, Sanitation, Handwashing, and Nutritional Interventions on Enteric Infections in Rural Zimbabwe: The Sanitation Hygiene Infant Nutrition Efficacy (SHINE) Trial.

BACKGROUND: We assessed the impact of water, sanitation, and hygiene (WASH) and infant and young child feeding (IYCF) interventions on enteric infections in the Sanitation Hygiene Infant Nutrition Efficacy (SHINE) trial in rural Zimbabwe. METHODS: We tested stool samples collected at 1, 3, 6, and 12 months of age and during diarrhea using quantitative molecular diagnostics for 29 pathogens. We estimated the effects of the WASH, IYCF, and combined WASH + IYCF interventions on individual enteropathogen prevalence and quantity, total numbers of pathogens detected, and incidence of pathogen-attributable diarrhea. RESULTS: WASH interventions decreased the number of parasites detected (difference in number compared to non-WASH arms, -0.07 [95% confidence interval, -.14 to -.02]), but had no statistically significant effects on bacteria, viruses, or the prevalence and quantity of individual enteropathogens after accounting for multiple comparisons. IYCF interventions had no significant effects on individual or total enteropathogens. Neither intervention had significant effects on pathogen-attributable diarrhea. CONCLUSIONS: The WASH interventions implemented in SHINE (improved pit latrine, hand-washing stations, liquid soap, point-of-use water chlorination, and clean play space) did not prevent enteric infections. Transformative WASH interventions are needed that are more efficacious in interrupting fecal-oral microbial transmission in children living in highly contaminated environments.

A familial cluster, including a kidney transplant recipient, of Coronavirus Disease 2019 (COVID-19) in Wuhan, China.

In December 2019, an outbreak of COVID-19 occurred in Wuhan, China, and spread to the whole of China and to multiple countries worldwide. Unlike SARS and MERS, where secondary transmission mostly occurred in hospital settings, COVID-19 transmission occurs in large numbers within families. Herein we report three cases of a familial cluster with one family member being a kidney transplant recipient. The initial clinical symptoms of COVID-19 in these three patients were the same, but their progression was different. Based on the severity of clinical symptoms, chest computer tomography findings and SARS-Cov-2 RNA test results, we admitted the husband to the respiratory intensive care unit (RICU) and used a treatment consisting of immunosuppressant reduction/cessation and low dose methylprednisolone-based therapy, and his wife to the respiratory isolation ward. In contrast, the son received in-home isolation and home-based care. All three family members made a full recovery.

An UWB/Vision Fusion Scheme for Determining Pedestrians' Indoor Location.

This paper proposes a method for determining a pedestrian's indoor location based on an UWB (ultra-wideband) and vison fusion algorithm. Firstly, an UWB localization algorithm based on EKF (extended Kalman filter) is proposed, which can achieve indoor positioning accuracy of 0.3 m. Secondly, a method to solve scale ambiguity and repositioning of the monocular ORB-SLAM (oriented fast and rotated brief-simultaneous localization and mapping) algorithm based on EKF is proposed, which can calculate the ambiguity in real time and can quickly reposition when the vision track fails. Lastly, two experiments were carried out, one in a corridor with sparse texture and the other with the light brightness changing frequently. The results show that the proposed scheme can reliably achieve positioning accuracy on the order of 0.2 m; with the combination of algorithms, the scale ambiguity of monocular ORB-Slam can be solved, with the failed vision trace repositioned by UWB, and the positioning accuracy of UWB can be improved, making it suitable for pedestrian location in indoor environments with sparse texture and frequent light brightness changes.

Etiology of Sepsis in Uganda Using a Quantitative Polymerase Chain Reaction-based TaqMan Array Card.

Background: Knowledge of causes of sepsis in sub-Saharan Africa is limited. A better understanding of the microbiology of bloodstream infections could improve outcomes. Methods: We used a quantitative polymerase chain reaction (qPCR)-based TaqMan Array Card (TAC) to directly test for 43 targets from whole blood. We analyzed 336 cryopreserved specimens from adult Ugandans with sepsis enrolled in a multisite study; 84% were infected with human immunodeficiency virus. We compared qPCR TAC results with blood culture and determined the association of qPCR with study participant outcomes using logistic regression. Results: The most frequently detected targets were cytomegalovirus (CMV, n = 139, 41%), Mycobacterium tuberculosis (TB, n = 70, 21%), Plasmodium (n = 35, 10%), and Streptococcus pneumoniae (n = 31, 9%). Diagnostic performance varied by target with qPCR sensitivity averaging 61 ± 28% and specificity 98 ± 3% versus culture. In multivariable analysis, independent factors associated with in-hospital mortality included CMV viremia (adjusted odds ratio [aOR] 3.2, 95% confidence interval [CI], 1.8-5.5; p < .01) and TB qPCR-positivity, whether blood culture-positive (aOR 4.6, 95% CI, 2.1-10.0; p < .01) or blood culture-negative (aOR 2.9, 95% CI, 1.2-6.9; p = .02). Conclusions: Using qPCR TAC on direct blood specimens, CMV and TB were the most commonly identified targets and were independently associated with increased in-hospital mortality. qPCR TAC screening of blood for multiple targets may be useful to guide triage and treatment of sepsis in sub-Saharan Africa.

Lotus seedpod proanthocyanidins protect against neurotoxicity after methyl-mercuric chloride injury.

In the present study, to investigate the prevention mechanism of proanthocyanidins from lotus seedpod (LSPCs) on methyl mercuric chloride (MMC) induced neurotoxicity, neuron/astrocyte cells were co-cultured to simulate the microenvironment in vivo to the greatest extent. The results showed that, compared with MMC group, pretreatment with LSPCs not only improved cell survival rate, decreased the release of lactate dehydrogenase (LDH), decreased the intracellular reactive oxygen species (ROS) level, and prevented the increase of intracellular [Ca2+]i, but also significantly increased the total anti-oxidation capacity (T-AOC) (p＜0.05), the levels of glutathione peroxidase (GSH-Px) (p＜0.05), glutathione (GSH) (p＜0.05), and mitochondrial membrane potential (MMP) (p＜0.01). Besides, LSPCs up-regulated the expression of transcriptional factor Nrf2/HO-1 in a concentration-dependent manner. Moreover, LSPCs reduced the expression of Bax protein, significantly increased the expression of Bcl-xl, Bcl-2, ß-Ⅲ-Tubulin, SYN, and Arc proteins. The expression of these proteins is mainly regulated by genes and reflects the changes of genes functions. Taken together, these results suggested that LSPCs could enhance cellular antioxidant defense capacity through regulating the activation of Nrf2/HO-1, and involving the inhibition of mitochondria-mediated apoptotic signaling pathway.

An Indoor Localization Method for Pedestrians Base on Combined UWB/PDR/Floor Map.

This paper propose a scheme for indoor pedestrian location, based on UWB (Ultra Wideband)/PDR (Pedestrian Dead Reckoning) and Floor Map data. Firstly, a robust algorithm that uses Tukey weight factor and a pathological parameter for UWB positioning is proposed. The ill-conditioned position problem is solved for a scene where UWB anchors are placed on the same elevation of a narrow corridor. Secondly, a heading angle-computed strategy of PDR is put forward. According to the UWB positioning results, the location of pedestrians is mapped to the Floor Map, and 16 possible azimuth directions with 22.5° interval in this position are designed virtually. Compared to the heading angle of PDR, the center direction of the nearest interval is adopted as the heading. However, if the difference between the head angles of PDR and the nearest map direction is less than five degrees, the heading angle of PDR is regarded as the moving heading. Thirdly, an EKF (Extended Kalman Filter) algorithm is suggested for UWB/PDR/Floor Map fusion. By utilizing the positioning results of UWB, PDR, and the possible heading angle of Floor Map, high precision positioning results are acquired. Finally, two experimental scenarios are designed in a narrow corridor and computer room at a university. The accuracy of pedestrian positioning when all the data are available is verified in the first scenario; the positioning accuracy of a situation where part of UWB is unlock is verified in the second scenario. The results show that the proposed scheme can reliably achieve decimeter-level positioning.