Advancements in production, assessment, and food applications of salty and saltiness-enhancing peptides: A review.

Salt is important for food flavor, but excessive sodium intake leads to adverse health consequences. Thus, salty and saltiness-enhancing peptides are developed for sodium-reduction products. This review elucidates saltiness perception process and analyses correlation between the peptide structure and saltiness-enhancing ability. These peptides interact with taste receptors to produce saltiness perception, including ENaC, TRPV1, and TMC4. This review also outlines preparation, isolation, purification, characterization, screening, and assessment techniques of these peptides and discusses their potential applications. These peptides are from various sources and produced through enzymatic hydrolysis, microbial fermentation, or Millard reaction and then separated, purified, identified, and screened. Sensory evaluation, electronic tongue, bioelectronic tongue, and cell and animal models are the primary saltiness assessment approaches. These peptides can be used in sodium-reduction food products to produce "clean label" items, and the peptides with biological activity can also serve as functional ingredients, making them very promising for food industry.

A Double-Edged-Sword Effect of Overplacement: Social Comparison Bias Predicts Gambling Motivations and Behaviors in Chinese Casino Gamblers.

Overconfidence, a widely observed cognitive bias, has been linked to increased gambling motivations and behaviors. However, previous studies have largely overlooked overconfidence under a social comparison context, known as overplacement, i.e., the tendency of individuals to believe that they are better than their similar peers. In the present study, we tested the effect of overplacement on gambling motivations and behaviors though a Pilot Survey of Chinese college students (N = 129) and a Field Survey of Chinese Macao casino gamblers (N = 733). Our results revealed a double-edged sword effect of overplacement: Serving as a risk factor, evaluating one self's earning ability as higher than others was linked to more gambling motivations (ß = 0.18, p = .005) and frequency (ß = 0.18, p = .004); Serving as a protective factor, evaluating oneself as happier than others was linked to less gambling motivations (ß = - 0.32, p < .001) and problem behaviors (ß = - 0.26, p < .001). These findings expand the relationship between overconfidence and gambling from a cognitive bias perspective to a social comparison perspective. Our study not only revealed a typical profile of gambling motivations and behaviors among different demographic groups in Chinese casino gamblers, but also highlighted the importance of considering social factors in the study of the psychological mechanisms of gambling.

Predicting the Risk of Nail Involvement in Psoriasis Patients: Development and Assessment of a Predictive Nomogram.

BACKGROUND: Nail involvement has a tremendous impact on psoriasis patients. Early detection and prompt intervention of psoriatic nail damage are necessary. METHODS: A total of 4290 patients confirmed to have psoriasis between June 2020 and September 2021 were recruited from the Follow-up Study of Psoriasis database. Among them, 3920 patients were selected and divided into the nail involvement group (n = 929) and the non-nail involvement group (n = 2991) by inclusion and exclusion criteria. Univariate and multivariable logistic regression analyses were performed to identify the predictors of nail involvement for the nomogram. Calibration plots, the receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) were used to evaluate the discriminative and calibrating ability and clinical utility of the nomogram. RESULTS: Sex, age at onset, duration, smoking, drug allergy history, comorbidity, sub-type of psoriasis, scalp involvement, palmoplantar involvement, genital involvement, and PASI score were selected to establish the nomogram for nail involvement. AUROC (0.745; 95% CI: 0.725-0.765) indicated the satisfactory discriminative ability of the nomogram. The calibration curve showed favorable consistency, and the DCA showed the good clinical utility of the nomogram. CONCLUSION: A predictive nomogram with good clinical utility was developed to assist clinicians in evaluating the risk of nail involvement in psoriasis patients.

Application of molecular imaging in immune checkpoints therapy: From response assessment to prognosis prediction.

Recently, immune checkpoint therapy (ICT) represented by programmed cell death1 (PD-1) and its major ligands, programmed death ligand 1 (PD-L1), has achieved significant success. Detection of PD-L1 by immunohistochemistry (IHC) is a classic method to guide the treatment of ICT patients. However, PD-L1 expression in the tumor microenvironment is highly complex. Thus, PD-L1 IHC is inadequate to fully understand the relevance of PD-L1 levels in the whole body and their dynamics to improve therapeutic outcomes. Intriguingly, numerous studies have revealed that molecular imaging technologies could potentially meet this need. Therefore, the purpose of this narrative review is to summarize the preclinical and clinical application of ICT guided by molecular imaging technology, and to explore the future opportunities and practical difficulties of these innovations.

Quantification of heavy metals and health risk assessment in Sichuan pickle.

Sichuan pickle is one of popular traditional fermented foods in China. However, the contamination of heavy metals in Sichuan pickle, particularly home-made Sichuan pickle and aged pickle brine, is little known. Therefore, the content of trace (Cr, Cu, and Zn) and toxic elements (As, Pb, and Cd) in Sichuan industrial pickle (SIP), Sichuan home-made pickle (SHP), and aged pickle brine collected from local markets and families in Sichuan province, respectively, was detected by inductively coupled plasma-tandem mass spectrometry (ICP-MS/MS) and the health risk was assessed by target hazard quotients including target hazard quotient (THQ) and total target hazard quotient (TTHQ). Consequently, the mean concentrations of Cr, Cu, Zn, As, Pb, and Cd were 0.122, 0.540, 2.516, 0.023, 0.015, and 0.106 mg/kg in SIP and 0.071, 0.364, 2.698, 0.014, 0.015, and 0.289 mg/kg in SHP, respectively, lower than the maximum allowable concentrations set by Chinese regulations, except for Cr and Cd in few samples. Principal component analysis of the heavy metal content could obviously distinguish between SIP and SHP. The content of As, Pb, and Cd in leaf pickles was significantly higher than that in pickles fermented with other types of vegetables. A significant enrichment of heavy metals in aged pickle brine over 10 years was observed, but pickle jars had no significant effect on heavy metal content in aged pickle brine. The intake of heavy metals through daily consumption of SIP and SHP was at a safe level, whereas the TTHQ of leaf pickle was 1.006, indicating a potential health risk. In conclusion, this study provided fundamental data for food safety assurance of Sichuan pickle. PRACTICAL APPLICATION: Sichuan pickle is one of popular traditional fermented foods in China. In the present study, we investigated the contamination of heavy metals in Sichuan pickles by detecting the content of Cr, Cu, Zn, As, Cd, and Pb in Sichuan industrial pickle, Sichuan home-made pickle, and aged pickle brine, and estimated the health risk to local residents. This study can provide a reference for the safety risk of Sichuan industrial and home-made pickle in terms of heavy metal contamination, and enhance the food safety in the processing, production, and consumption of Sichuan pickle in local families and pickle industry.

The China Alzheimer Report 2022.

China's population has rapidly aged over the recent decades of social and economic development as neurodegenerative disorders have proliferated, especially Alzheimer's disease (AD) and related dementias (ADRD). AD's incidence rate, morbidity, and mortality have steadily increased to make it presently the fifth leading cause of death among urban and rural residents in China and magnify the resulting financial burdens on individuals, families and society. The 'Healthy China Action' plan of 2019-2030 promotes the transition from disease treatment to health maintenance for this expanding population with ADRD. This report describes related epidemiological trends, evaluates the economic burden of the disease, outlines current clinical diagnosis and treatment status and delineates existing available public health resources. More specifically, it examines the public health impact of ADRD, including prevalence, mortality, costs, usage of care, and the overall effect on caregivers and society. In addition, this special report presents technical guidance and supports for the prevention and treatment of AD, provides expertise to guide relevant governmental healthcare policy development and suggests an information platform for international exchange and cooperation.

Characterization and exposure assessment of household fine particulate matter pollution in China.

Household fine particulate matter (PM2.5 ) pollution greatly impacts residents' health. To explore the current national situation of household PM2.5 pollution in China, a study was conducted based on literature published from 1998 to 2018. After extracting data from the literature in conformity with the requirements, the nationwide household-weighted mean concentration of household PM2.5 (HPL) was calculated. Subgroup analyses of spatial, geographic, and temporal differences were also done. The estimated overall HPL in China was 132.2 ± 117.7 µg/m3 . HPL in the rural area (164.3 ± 104.5 µg/m3 ) was higher than that in the urban area (123.9 ± 122.3 µg/m3 ). For HPLs of indoor sampling sites, the kitchen was the highest, followed by the bedroom and living room. There were significant differences of geographic distributions. The HPLs in the South were higher than the North in four seasons. The inhaled dose of household PM2.5 among school-age children differed from provinces with the highest dose up to 5.9 µg/(kg·d). Countermeasures should be carried out to reduce indoor pollution and safeguard health urgently.

Source, Characterization of Indoor Dust PAHs and the Health Risk on Chinese Children.

Polycyclic aromatic hydrocarbons (PAHs) in indoor dust are one of the common exposure sources for children worldwide. The aim of this study is to explore PAHs pollution status in indoor dust and estimate health risk on Chinese children with big data. Weighted average concentration was used to analyze source and characterization of PAHs in indoor dust based on peer-reviewed literature. According to specific inclusion criteria, 17 studies were included finally to analyze weighted average concentration. The national average concentration of Σ16PAHs was approximately 25.696 µg/g. The highest concentration of Σ16PAHs was in Shanxi (2111.667 µg/g), and the lowest was in Hong Kong (1.505 µg/g). The concentrations in Shanxi and Guangdong were higher than national level and the over standard rate was 18.18%. The concentrations of individual PAHs varied greatly across the country, and Flu in Shanxi was the highest (189.400 µg/g). The sources of PAHs varied in different regions and combustion processes played a leading role. PAHs exposure through ingestion and dermal contact was more carcinogenic than inhalation. The incremental lifetime cancer risk model indicated that children lived in Shanxi were found in the highest health risk coupled with the highest BaPE concentration (54.074 µg/g). Although PAHs concentrations of indoor dust showed a downward trend from 2005 to 2018, indoor environmental sanitation should be improved with multidisciplinary efforts. Health standard should be possibly established to minimize children exposure to PAHs in indoor dust in China.

Assessment of nutritional status in paediatric outpatients using bioelectrical impedance analysis and anthropometric z-scores.

AIM: To investigate paediatric outpatients' nutritional status using bioelectrical impedance analysis and anthropometric z-scores. METHODS: A retrospective data analysis of tertiary paediatric hospital outpatients from 2017 to 2019 was conducted. Patients were categorised into three groups (non-illness, illness and simple obesity) according to clinical diagnoses. The nutritional status was evaluated using anthropometric and bioelectrical impedance analysis. In addition, body composition measurements of patients in three subgroups of the illness group and age- and gender-matched healthy controls were compared. RESULTS: A total of 2015 paediatric outpatients were enrolled. According to body mass index z-scores, undernutrition prevalence among participants was 14.0% (non-illness group, 21.3%; illness group, 11.4%). Body composition measurements indicated that 41.6% of participants had a low fat-free mass index, and the proportions of participants with a low fat-free mass index in the non-illness, illness and simple obesity groups were 48.4, 47.0 and 10.7%, respectively. Compared with healthy controls, the haematology and oncology subgroup had a significantly lower fat-free mass index and fat mass index; the nephrology and rheumatology subgroup had significantly lower height-for-age z-scores but higher fat mass index; and the gastroenterology subgroups had lower fat mass index, fat-free mass index and body mass index z-scores. CONCLUSIONS: The results suggested the low fat-free mass index prevalence was greater than the low body mass index z-score prevalence among paediatric outpatients, and body composition parameters varied across different illnesses. Body composition analysis is recommended in nutrition clinics for accurate paediatric outpatient nutritional assessment, thereby providing timely individualised nutritional interventions.

[Distribution Characteristics and Pollution Assessment of Nutrients in Hengshui Lake Sediments].

Considering Hengshui Lake as the research object, the representative surface sediments at eleven points were collected in March 2019, and the morphological distribution characteristics of carbon, nitrogen, and phosphorus nutrients in the lake sediments were analyzed. The results showed that the total organic carbon (TOC) content in Hengshui Lake sediments was 93.226 mg·g-1, which might lead to a higher risk of potential nitrogen source release. The total nitrogen (TN) content was 1.850 mg·g-1, which was a moderate pollution load; the contents of various nitrogen forms and the proportions in TN were Res-N (0.973 mg·g-1, 52.57%) > WAEF-N (0.531 mg·g-1, 28.69%) > SOEF-N (0.208 mg·g-1, 11.23%) > IEF-N 0.088 (mg·g-1, 4.77%) > SAEF-N (0.051 mg·g-1, 2.75%). These results further indicated that the risk of nitrogen release from sediments in Hengshui Lake was relatively high. The content of total phosphorus (TP) was 1.020 mg·g-1 and that of inorganic phosphorus (IP) was 0.839 mg·g-1, accounting for 82.27% of the TP content, which was a moderate pollution load; the average content of various phosphorus forms and the proportions in IP were Ca-P (0.440 mg·g-1, 52.44%) > Res-P (0.200 mg·g-1, 23.84%) > Fe-P and Al-P (0.169 mg·g-1, 20.14%) > NH4Cl-P (0.030 mg·g-1, 3.58%). In general, the risk of phosphorus release from sediments in Hengshui Lake was relatively low. The analysis of C/N, C/P, and N/P characteristics showed that the organic matter in Hengshui Lake sediments mainly originated from terrestrial grasses and sedge plants, and the phosphorus in the sediments was mainly affected by terrestrial input. Correlation analysis showed that the correlation between carbon, nitrogen, and phosphorus in Hengshui Lake sediment was weak, and the sources of the three nutrients might be different; the correlation between each form of phosphorus was stronger than that of each form of nitrogen, and each form of phosphorus had very good homology. The sources of various forms of nitrogen were diverse and complex. The pollution status of the lake area was evaluated by organic index and organic nitrogen. The results showed that the nutrient pollution in Hengshui Lake sediments was serious, reaching the Grade Ⅳ standard. The potential risk of nitrogen in sediments should be taken seriously and effectively controlled.

[Assessment of Emergency Emission Reduction Effect During the Heavy Air Pollution Episodes in Beijing, Tianjin, Hebei, and Its Surrounding Area("2+26" Cities) from October to December 2019].

To evaluate the effect of emergency emission reduction measures during the heavy air pollution episodes in Beijing, Tianjin, Hebei, and its surrounding areas, a scenario simulation method was used. The concentrations of PM2.5, PM10, SO2, NO2, CO, and O3-8h, air quality index (AQI), characteristics of heavy air pollution, and climate and meteorological factors were analyzed using the observation data available from October to December 2019. The 24 h, 72 h, and 144 h prediction results of NAQPMS model were analyzed. The uncertainties of the assessment and model prediction were discussed. The results showed that the average PM2.5 concentration in Beijing, Tianjin, and its surrounding 26 cities ("2+26" cities) from October to December 2019 was 64 µg ·m-3, indicating a decrease of 10 µg ·m-3 as compared with that during the same period in 2018. There were 4 occurrences of regional heavy air pollution episodes, with the average PM2.5 concentration of 156 µg ·m-3 of affected cities. The value of evaluation on meteorological condition index of PM2.5 pollution (EMI) of "2+26" cities ranged from -15.6%-16.8%. The meteorological conditions of 12 cities, including Beijing, Tianjin, and Shijiazhuang, deteriorated as compared with those during the same period in 2018, and the changes ranged from 3.2%-16.8%. However, the emergency emission reduction measures effectively reduced the occurrence of regional heavy air pollution episodes, the peak concentration of PM2.5 was decreased significantly, and no severe regional pollution episode occurred. The daily PM2.5 concentrations reduced by 2% to 9% in Beijing, Shijiazhuang, Baoding, Tangshan, and other cities during a typical heavy air pollution period. The quarterly average concentrations of PM2.5 in the "2+26" cities reduced by 1 to 3 µg ·m-3. The regional emergency emission reduction measures have played an active role in protecting the health of the people and improving the quality of ambient air.

[Heavy Pollution Characteristics and Assessment of PM2.5 Predicted Model Results in Beijing-Tianjin-Hebei Region and Surrounding Areas During November 23 to December 4, 2018].

This study discusses the concentration characteristics of PM2.5 and PM10, as well as pollution meteorology in large-scale and long-term heavy pollution in the Beijing-Tianjin-Hebei region and its surrounding areas from November 23 to December 4, 2018, where the primary pollutants are comprised of PM2.5 and PM10. The monitoring results obtained from ground-based and vehicle-mounted lidars, as well as the HYSPLIT-4 backward trajectory combined with meteorological factors analysis are discussed. The accuracy and uncertainty of the air quality forecast model of NAQPMS, CMAQ, and CAMx during heavy air pollution were analyzed retrospectively. The results show that PM2.5 and sand dust in most cities in the south-central region contribute to severe pollution levels. The hourly peak concentrations of PM10 in Zhangjiakou, Beijing, Shijiazhuang, Handan, and Zhengzhou were 1589, 864, 794, 738, and 766 µg·m-3, respectively. The respective hourly peak concentrations of PM2.5 were 239, 319, 387, 321, and 380 µg·m-3. Ground static pressure field, high humidity, inversion, and other static and stable conditions, as well as sand dust transmitted from the northwest, were important pollution meteorological and weather factors. The monitoring data of ground-based lidar and vehicle-mounted lidar combined with the HYSPLIT-4 backward trajectory analysis showed that the air pollutant transmitted from the Southwest and Southeast during the heavy pollution period was primarily PM2.5. The air pollutant transmitted from the Northwest during the two sand dust processes. Moreover, the model of NAQPMS, CMAQ, and CAMx performed well in forecasting the heavy pollution process in the Beijing-Tianjin-Hebei region and its surrounding areas. However there are slight deviations for some individual cities, related to uncertainty in the meteorological model prediction, atmospheric chemical reaction mechanism, and pollution source list. Furthermore, the reduction in pollution source emissions caused by pollution emergency measures was also one of the main reasons for the overestimation.

[Concentration Characteristics and Assessment of Model-Predicted Results of PM2.5 in the Beijing-Tianjin-Hebei Region in Autumn and Winter].

This paper discusses the concentration characteristics of PM2.5, as well as its relationship with meteorological factors in autumn and winter (from September to the following February), from 2013 to 2018 in the Beijing-Tianjin-Hebei (BTH) region. The accuracy and uncertainty of the air quality forecast models NAQPMS(nested air quality prediction modeling system), CMAQ(community multiscale air quality modeling system), and CAMx (comprehensive air quality model with extensions) were analyzed based on the model-predicted and measured PM2.5 concentration in autumn and winter from 2015 to 2018. The accuracy of NAQPMS, CMAQ, and CAMx during typical heavy air pollution was also tested. Moreover, methods to improve the accuracy of the model forecast were discussed. The results showed that the mean concentrations of PM2.5 in the BTH region were 122, 98, 82, 99, and 65 µg·m-3 in the five autumn and winter periods, respectively. When the air quality index (AQI) exceeded 150 during each autumn and winter, it reached 229, 198, 210, 204, and 180 µg·m-3, respectively. There were 64 occurrences of heavy regional PM2.5 air pollution in autumn and winter from 2013 to 2018. The average duration was longest in the 2013 to 2014 period, and shortest in the 2017 to 2018 period. The peak concentration and average concentration of PM2.5 decreased year on year, except for the period from 2016 to 2017. In autumn and winter, PM2.5 concentration had a relatively close relationship with relative humidity, wind and sunshine duration, compared with a weak relationship with temperature and air pressure. Regional heavy air pollution always happened under the condition of low wind speed(less than 2 m·s-1),higher relative humidity(greater than 65%),and southwest and northeast wind direction. In addition, the heavy air pollution of PM2.5 in BTH in autumn and winter can be effectively forecasted by NAQPMS, CMAQ, and CAMx. The predicted and measured PM2.5 concentration showed a close relationship. The models performed well in forecasting Zhangjiakou, Chengde, and Qinhuangdao, but by contrast overestimated in Tangshan, Shijiazhuang, Baoding, Beijing, and Tianjin. The uncertainty of emission sources, measured and predicted meteorological data, and the atmospheric chemical reaction mechanism may be the main reasons for the overestimate.

[Psychometric Evaluation of the Union Physio-Psycho-Social Assessment Questionnaire].

Objective To validate the Union Physio-Psycho-Social Assessment Questionnaire(UPPSAQ-70)and test its validity and reliability.Methods From April,2013 to July,2018,patients were asked to finish the computer evaluation of UPPSAQ-70 and Symptom Checklist 90(SCL-90)in Peking Union Medical College Hospital(PUMCH).Confirmatory factor analysis(CFA)was conducted on the SPSS 17.0,and the number of fixed factors was 8 factors and 3 factors.Amos 23.0 was used to verify the original 8-factor model,8-factor revision model,3-factor model,3-factor revision model,and single-factor model.Each factor of SCL-90 was used as the calibration standard to calculate the correlation coefficient between factors.The retest reliability was tested by the outpatients in PUMCH in July,2018.Results Exploratory factor analysis indicated that the 8-factor revised model included:depression,anxiety and fatigue,sleep,physical discomfort,sexual function,happiness and satisfaction,hypochondria,and social anxiety.The 3 factors revised model included that:psychological,physiological and social dimension.Confirmatory factor analysis indicated that the 8-factor modified model was superior to the 3-factor model and the single-factor model: χ 2=10 410.4,df=1862,RMSEA=0.07,CFI=0.753,and NFI=0.715.With SCL-90 as the standard criteria,except the low correlation coefficient between emotional scale and depression(r=0.600)and anxiety(r=0.520),the correlation coefficients of other symptoms were below 0.5.The chronbach's α between each factor and total score of UPPSAQ-70 was between 0.823 and 0.904,and the Chronbach's α coefficient of the whole scale was between 0.954 and 0.956 after each item was deleted.The retest reliability of the scale of 32 participants Chronbach's α was 0.847.Each item of the scale measured between one week was significantly correlated(P<0.05). Conclusion UPPSAQ-70 is a good scale for evaluating overall health status and is especially feasible in general hospitals.

Temporal Variability of Cumulative Risk Assessment on Phthalates in Chinese Pregnant Women: Repeated Measurement Analysis.

The assessment of the combined effects of multiple phthalate exposures at low levels is a newly developed concept to avoid underestimating their actual cumulative health risk. A previous study included 3455 Chinese pregnant women. Each woman provided up to three urine samples (in total 9529). This previous study characterized the concentrations of phthalate metabolites. In the present study, the data from 9529 samples was reanalyzed to examine the cumulative risk assessment (CRA) with two models: (1) the creatinine-based and (2) the volume-based. Hazard index (HI) values for three phthalates, dibutyl phthalate, butyl benzyl phthalate, and di(2-ethylhexyl) phthalate, in the first, second, and third trimesters of pregnancy, were calculated, respectively. In creatinine-based model, 3.43%, 14.63%, and 17.28% of women showed HI based on the European Food Safety Authority tolerable daily intake exceeding 1 in the first, second, and third trimester of pregnancy, respectively. The intraclass correlation coefficient of HI was 0.49 (95% confidence interval: 0.46-0.53). Spearman correlations between HI of the creatinine model and ∑androgen disruptor (a developed potency weighted approach) ranged from 0.824 to 0.984. In summary, this study suggested a considerable risk of cumulative exposure to phthalates during the whole gestation in Chinese pregnant women. In addition, moderate temporal reproducibility indicated that single HI, estimated by the phthalate concentration in single spot of urine, seemed representative to describe the throughout pregnancy CRA. Finally, strong correlation between HI of the creatinine model and ∑androgen disruptor revealed that the creatinine-based model was more appropriate to evaluate the CRA.

Implementation of Plate Imaging for Demonstration of Monoclonality in Biologics Manufacturing Development.

Monoclonality of mammalian cell lines used for production of biologics is a regulatory expectation and one of the attributes assessed as part of a larger process to ensure consistent quality of the biologic. Historically, monoclonality has been demonstrated through statistics generated from limiting dilution cloning or through verified flow cytometry methods. A variety of new technologies are now on the market with the potential to offer more efficient and robust approaches to generating and documenting a clonal cell line.Here we present an industry perspective on approaches for the application of imaging and integration of that information into a regulatory submission to support a monoclonality claim. These approaches represent the views of a consortium of companies within the BioPhorum Development Group and include case studies utilising imaging technology that apply scientifically sound approaches and efforts in demonstrating monoclonality. By highlighting both the utility of these alternative approaches and the advantages they bring over the traditional methods, as well as their adoption by industry leaders, we hope to encourage acceptance of their use within the biologics cell line development space and provide guidance for regulatory submission using these alternative approaches.LAY ABSTRACT: In the manufacture of biologics produced in mammalian cells, one recommendation by regulatory agencies to help ensure product consistency, safety, and efficacy is to produce the material from a monoclonal cell line derived from a single, progenitor cell. The process by which monoclonality is assured can be supplemented with single-well plate images of the progenitor cell. Here we highlight the utility of that imaging technology, describe approaches to verify the validity of those images, and discuss how to analyze that information to support a biologic filing application. This approach serves as an industry perspective to increased regulatory interest within the scope of monoclonality for mammalian cell culture-derived biologics.

MRI-Guided Stereotactic Biopsy of Murine GBM for Spatiotemporal Molecular Genomic Assessment.

Brain tumor biopsies that are routinely performed in clinical settings significantly aid in diagnosis and staging. The aim of this study is to develop and evaluate a methodological image-guided approach that would allow for routine sampling of glioma tissue from orthotopic mouse brain tumor models. A magnetic resonance imaging-guided biopsy method is presented to allow for spatially precise stereotaxic sampling of a murine glioma coupled with genome-scale technology to provide unbiased characterization of intra- and intertumoral clonal heterogeneity. Longitudinal and multiregional sampling of intracranial tumors allows for successful collection of tumor biopsy samples, thus allowing for a pathway-enrichment analysis and a transcriptional profiling of RNA sequencing data. Spatiotemporal gene expression pattern variations revealing genomic heterogeneity were found.

Degradation of atrazine by a novel Fenton-like process and assessment the influence on the treated soil.

This is the premier study reporting the remediation of atrazine contaminated soil with steel converter slag (SCS) catalyzed Fenton-like process. The effects of various operating parameters, such as SCS loads and H2O2 concentrations were evaluated with respect to the removal efficiency of atrazine. Results show the optimal SCS load and H2O2 concentration were 80gkg(-1) and 10%, respectably. The graded modified Fenton's oxidation with a 3-time addition of 10% H2O2 was able to remove 93.7% of total atrazine in the contaminated soil and maintain soil temperature within 50°C. In contrast to traditional Fenton treatment, a slight pH increase has been observed due to the addition of SCS. More importantly, experiment conducted at natural conditions with SCS gave the similar atrazine removal to the experiments with the other catalysts (e.g., FeSO4 and Fe2O3). One thing should be noted that after the treatment, dissolved organic carbon (DOC) content increased to 1.206gkg(-1) from an initial value of 0.339gkg(-1).

An integrative C. elegans protein-protein interaction network with reliability assessment based on a probabilistic graphical model.

In Caenorhabditis elegans, a large number of protein-protein interactions (PPIs) are identified by different experiments. However, a comprehensive weighted PPI network, which is essential for signaling pathway inference, is not yet available in this model organism. Therefore, we firstly construct an integrative PPI network in C. elegans with 12,951 interactions involving 5039 proteins from seven molecular interaction databases. Then, a reliability score based on a probabilistic graphical model (RSPGM) is proposed to assess PPIs. It assumes that the random number of interactions between two proteins comes from the Bernoulli distribution to avoid multi-links. The main parameter of the RSPGM score contains a few latent variables which can be considered as several common properties between two proteins. Validations on high-confidence yeast datasets show that RSPGM provides more accurate evaluation than other approaches, and the PPIs in the reconstructed PPI network have higher biological relevance than that in the original network in terms of gene ontology, gene expression, essentiality and the prediction of known protein complexes. Furthermore, this weighted integrative PPI network in C. elegans is employed on inferring interaction path of the canonical Wnt/ß-catenin pathway as well. Most genes on the inferred interaction path have been validated to be Wnt pathway components. Therefore, RSPGM is essential and effective for evaluating PPIs and inferring interaction path. Finally, the PPI network with RSPGM scores can be queried and visualized on a user interactive website, which is freely available at .

[Effect of plant density on population yield and economic output value in maize-soybean intercropping].

The effects of plant density on population yield and economic output value in maize and soybean intercropping were studied with the design of the double saturated D-optimal regression. A mathematical model was developed, in which the densities of maize and soybean were independent variables, and population grain yield, dry matter accumulation and economic output value were dependent variables, respectively. The result showed that the plant density significantly affected the population grain yield, dry matter accumulation and economic output value, and the effects of density of maize on population indices were greater than those of density of soybean. Under the low level conditions of density, the population grain yield, dry matter accumulation and economic output value increased with the density of maize and soybean. The maximum population grain yield was 8101.31 kg · hm(-2) the optimized combination of 72023 plant maize · hm(-2) and 99924 plant soybean · hm(-2), while the maximum population dry matter accumulation was 15282.45 kg · hm(-2) with the optimized combination of 75000 plant maize · hm(-2) and 93372 plant soybean · hm(-2), and the maximum population economic output value was 23494.50 Yuan · hm(-2) with the optimized combination of 73758 plant maize · hm(-2) and 87597 plant soybean · hm(-2). The optimum combination of densities of maize and soybean calculated by computer were 58554-71547 plant · hm(-2) for maize and 82217-100303 plant · hm(-2) for soybean in order to obtain grain yield greater than 7500 kg · hm(-2), dry matter accumulation greater than 14250 kg · hm(-2) and economic output value greater 22500 yuan · hm(-2) under the condition of this experiment.