Differential Index Research Articles

Characterizing and forecasting neoantigens-resulting from MUC mutations in COAD

BackgroundThe treatment for colon adenocarcinoma (COAD) faces challenges in terms of immunotherapy effectiveness due to multiple factors. Because of the high tumor specificity and immunogenicity, neoantigen has been considered a pivotal target for cancer immunotherapy. Therefore, this study aims to identify and predict the potential tumor antigens of MUC somatic mutations (MUCmut) in COAD.MethodsThree databases of TCGA, TIMER2.0, and cBioPortal were used for a detailed evaluation of the association between MUCmut and multi-factors like tumor mutation burden (TMB), microsatellite instability (MSI), prognosis, and the tumor microenvironment within the context of total 2242 COAD patients. Next, TSNAdb and the differential agretopicity index (DAI) were utilized to predict high-confidence neopeptides for MUCmut based on 531 COAD patients’ genomic information. DAI was calculated by subtraction of its predicted HLA binding affinity of the MUCmut peptide from the corresponding wild-type peptide.ResultsThe top six mutation frequencies (14 to 2.9%) were from MUC16, MUC17, MUC5B, MUC2, MUC4 and MUC6. COAD patients with MUC16 and MUC4 mutations had longer DFS and PFS. However, patients with MUC13 and MUC20 mutations had shorter OS. Patients with the mutation of MUC16, MUC5B, MUC2, MUC4, and MUC6 exhibited higher TMB and MSI. Moreover, these mutations from the MUC family were associated with the infiltration of diverse lymphocyte cells and the expression of immune checkpoint genes. Through TSNAdb 1.0/NetMHCpan v2.8, 452 single nucleotide variants (SNVs) of MUCmut peptides were identified. Moreover, through TSNAdb2.0/NetMHCpan v4.0, 57 SNVs, 1 Q-frame shift (TS), and 157 short insertions/deletions (INDELs) of MUCmut were identified. Finally, 10 high-confidence neopeptides of MUCmut were predicted by DAI.ConclusionsTogether, our findings establish the immunogenicity and therapeutic potential of mutant MUC family-derived neoantigens. Through combining the tools of TSNAdb and DAI, a group of novel MUCmut neoantigens were identified as potential targets for immunotherapy.

Prognostic usefulness of the C-reactive protein-albumin-lymphocyte (CALLY) index as a novel biomarker in patients undergoing colorectal cancer surgery

BackgroundThe C-reactive protein (CRP)–albumin–lymphocyte (CALLY) index is a novel immuno-nutritional biomarker based on the levels of CRP, serum albumin, and lymphocyte count. This study examined the prognostic value of the CALLY index in patients with colorectal cancer undergoing curative surgery. MethodsBetween 2010 and 2017, 578 patients with stage II-III colorectal cancer who underwent curative resection were enrolled. The CALLY index was defined as (albumin × lymphocyte)/(CRP × 104). We investigated the association of the CALLY index with disease-free survival (DFS) and overall survival (OS). ResultsThe cutoff value of the CALLY index was determined to be 2. Of the 578 patients, 175 (30%) had a preoperative CALLY index <2. In multivariate analysis, the pre-operative carcinoembryonic antigen (CEA) level (p = 0.003), cell differentiation (p = 0.045), venous invasion (p = 0.036), Tumor-Node-Metastasis stage (p < 0.001), and CALLY index score <2 (p = 0.006) were independent predictors of DFS. Meanwhile, preoperative carbohydrate antigen (CA)19-9 levels (p = 0.019), lymphatic invasion (p = 0.018), preoperative platelet (p = 0.037), and CALLY index score <2 (p = 0.007) were independent predictors of OS. ConclusionThe CALLY index may be an independent prognostic biomarker for long-term outcomes in patients with colorectal cancer.

IMPROVING THE PROCESS OF FORMING AND USING A CROSS-CULTURAL MODEL OF PERSONNEL MANAGEMENT IN THE ORGANIZATION

The paper substantiates the need to form a cross-cultural model of personnel management in the context of modern socio-economic relations. Based on analizing the main definitions presented in the special literature, the article clarifies the content of the economic concept of "cross-cultural model of organization's personnel management". The nature of the cross-cultural model of management of a particular organization directly depends on the characteristics of the dominant types of cross-cultural differences in the personnel structure. On this basis, the article provides a classification of cross-culturalism types by the most significant socio-demographic and economic features. One of the most important methodological problems of cross-cultural management in general and substantiation of a rational cross-cultural model of personnel management, in particular, is quantitative assessment of the significance of cross-cultural differentiation of the personnel composition of an organization. In this regard, the paper proposes a comprehensive index of cross-cultural differentiation of the organization's staff. In addition, the main groups of indicators included in the proposed comprehensive index of cross-cultural differentiation of the organization's staff are presented, and the logic of including individual private indicators is characterized. Finally, the interrelation between the types of cross-cultural differences in the organization and the proposed index of cross-cultural differentiation of the organization's staff is demonstrated.

Abstract 4248: Patient-derived MTAP-deleted bladder cancer organoid model: A unique platform for drug development

Abstract Introduction: Approximately 30% of advanced bladder cancer (BCa) tumors exhibit MTAP gene deletion, which has been associated with luminal subtype BCa, poor response to chemotherapy, and shorter progression to metastatic disease (De Souza 2023). MTAP deletion has been proposed as a potential biomarker for response to pemetrexed and an emerging class of PRMT5 and MAT2A inhibitors in development for MTAP-deleted tumors. Here, we describe the first patient-derived 3D model of BCa with MTAP deletion and its translational potential as a drug sensitivity platform. Methods: A patient (pt) with metastatic BCa harboring MTAP deletion underwent a pelvic lymph node biopsy. A fresh tumor sample was processed under collagenase/dispase solution for 30 minutes and filtered through a 70-um cell strainer. Cells were cultures in low attachment plates with MammoCult™ Basal Medium (Stem Cell Technologies). After 5 passages and 3D spheroid formation, immunostaining for cytokeratin (CK) 5 and 6, GATA3, CK20, and Ki67 staining were performed to confirm the urothelial origin. The MTAP-del was confirmed by a western blot of the organoid specimen and compared to other BLCa cell lines (UMUC, RT4, J82, and 5637). The viability assays were performed using the CellTiter-Glo® 3D Cell kit. Next-generation sequencing (NGS) of primary BCa tumor revealed deletion of MTAP, CDKN2A, CDKN2B, and mutations in p53, TERT, and KDM6A. Results: The patient organoid sample was positive for the luminal CK5/6 markers and negative for GATA3. Ki67 and CK20 were primarily expressed in the nucleus of the same sample. The organoid retained morphologic and immunohistochemical features of the patient’s primary bladder tumor, showing the same squamous differentiation and similar Ki-67 proliferative index. The organoid displayed no evidence of the MTAP protein by western blot (similar findings with the MTAP-del cell lines UMUC and RT4). The organoid showed sensitivity to pemetrexed [pemetrexed IC50=0.12 uM (other MTAP-del BLCa IC50: 0.1-0.23 uM)] and resistance to gemcitabine and cisplatin [Gem IC50=55 nM (other BLCa IC50: 1-29 nM), Cis IC50=90.5 uM (other BLCa IC50: 2-17 uM). Conclusions: We describe the first patient-derived MTAP-deleted BCa organoid recapitulating the features of the primary tumor. The organoid displayed sensitivity to pemetrexed as described with MTAP-deleted BCa. The organoid represents a unique platform for testing novel therapeutic strategies for MTAP-deleted BCa. Citation Format: Maximilian Schwermann, Benedito Carneiro, Shaolei Lu, Andre De Souza, Matthew Hadfield, Anthony Mega, Galina Lagos, Sari Khaleel, Dragan Golijanin, Sheldon Holder, Praveen Srinivasan, William MacDonald, Andrew George, Lanlan Zhou, Leiqing Zhang, Wafik El-Deiry. Patient-derived MTAP-deleted bladder cancer organoid model: A unique platform for drug development [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4248.

Coupling effect of key factors on ecosystem services in border areas: a study of the Pu'er region, Southwestern China.

The coupling effects created by transboundary and local factors on ecosystem services are often difficult to determine. This poses great challenges for ecosystem protection and management in border areas. To decrease uncertainty, it is crucial to quantify and spatialize the impact multiple factors have on ecosystem services within different scenarios. In this study, we identified key transboundary and local factors from a set of 15 sorted factors related to four main ecosystem services. We employed a Bayesian Network-Geographic Information System (BN-GIS) model to simulate 90 scenarios with multiple factors combinations, quantifying and spatializing the coupling effects on the main ecosystem services. These simulations were conducted in the Pu'er region, which is situated alongside three countries, and serves as a representative border area in southwest China. The results showed that: (1) The coupling effects of multiple factors yield significant variations when combined in different scenarios. Managers can optimize ecosystem services by strategically regulating factors within specific areas through the acquisition of various probabilistic distributions and combinations of key factors in positive coupling effect scenarios. The outcome is a positive coupling effect. (2) Among the four main ecosystem services in the Pu'er region, food availability and biodiversity were affected by key transboundary and local factors. This suggests that the coupling of transboundary and local factors is more likely to have a significant impact on these two ecosystem services. Of the 45 combination scenarios on food availability, the majority exhibit a negative coupling effect. In contrast, among the 45 combination scenarios on biodiversity, most scenarios have a positive coupling effect. This indicates that food availability is at a higher risk of being influenced by the coupling effects of multiple factors, while biodiversity faces a lower risk. (3) Transboundary pests & diseases, application of pesticides, fertilizer & filming , population density, and land use were the key factors affecting food availability. Bio-invasion, the normalized differential vegetation index, precipitation, and the landscape contagion index were the key factors affecting biodiversity. In this case, focusing on preventing transboundary factors such as transboundary pests & disease and bio-invasion should be the goal. (4) Attention should also be paid to the conditions under which these transboundary factors combine with local factors. In the areas where these negative coupling effects occur, enhanced monitoring of both transboundary and local factors is essential to prevent adverse effects.

Multi-scale remote sensing retrieval model for land surface emissivity and its impact on land surface temperature estimation

ABSTRACT As a fundamental parameter of the surface radiation process, land surface emissivity (LSE) is the most direct factor affecting the land surface temperature (LST) retrieval accuracy. Based on the measured data from 2017 to 2023, the characteristics of LSE changes were analysed, different timescale LSE retrieval models were developed, and the impact of LSE on pixel scale observational LST acquisition was evaluated by using unmanned aerial vehicle (UAV) remote sensing images. The results show that with changes in atmospheric environmental conditions, the LSE changes are relatively less pronounced at 3.99 µm and 4.02 µm in the mid-infrared band and at 10.8 µm and 11.8 µm in the thermal infrared band than in the other bands. At the timescale above day, the LSE is significant correlation with the normalized differential vegetation index (NDVI). Vegetation is the main parameter that dominates the LSE change under heterogeneous underlying surfaces. On a daily timescale, LSE exhibits typical diurnal variation characteristics, and the amplitude of diurnal variation is influenced mainly by shallow soil water and heat conditions. The developed LSE model based on Fengyun-4A (FY-4A) satellite remote-sensing data can effectively reproduce the daily variation characteristics of LST and avoid the ‘jumping’ phenomenon that may occur in the NDVI threshold method. The root-mean-square error (RMSE) between the retrieved LST and in situ data is reduced to 3.78°C, and the retrieval accuracy is better than that of the published LST product. When using UAVs to obtain pixel-scale LSTs, dry bare soil is more sensitive to LSE. When the LSE increases from 0.95 to 1.0, the average LST obtained by the UAV deviates by approximately 1.0°C. This study preliminarily provides some spatiotemporal variation patterns of LSE and lays a foundation for the later-modified LST retrieval algorithms.

Genetic diversity and population structure of the endangered saproxylic beetle L. cervus in a fragmented landscape

Abstract Despite the significance of saproxylic beetle species for ecosystems, the investigation of fine‐scale population genetics within the stag beetle, Lucanus cervus, remains notably limited. Because of their limited dispersal distances and habitat fragmentation, high genetic structure and low genetic diversity are expected in its populations. To evaluate the impact of habitat fragmentation on genetic diversity and structure, we examined 150 specimens of L. cervus from three sites in western Poland: two forest stands and one stand located in an Oak avenue. We utilised 19 microsatellite DNA loci for this examination. Results of neighbour‐joining analysis and principal coordinates analysis, values of differentiation indexes (G'ST, D(Jost) and FST) and rare/private allele frequencies indicated weak genetic differentiation among individuals collected from the tree sites. A spatial component to the genetic structure was identified through STRUCTURE (LOCPRIOR), isolation by distance tests and spatial autocorrelation analysis. The genetic diversity remained relatively high (HE: 0.49–0.51), with no inbreeding observed and no significant differences in mean relatedness among individuals from sampling sites. Limited genetic differentiation between the individuals of L. cervus from the investigated sites may result from a lag time since fragment isolation, unrestricted gene flow and marker/sample size limitations. Though weak, the significant differentiation between two of the sites may be linked to environmental differences and distance. Genetic data support treating individuals from forests as a single management unit. Non‐invasive sampling suffices for genetic studies, but achieving balanced sampling is crucial for precise historical demography estimates of endangered species.

Mapping Urban Floods via Spectral Indices and Machine Learning Algorithms

Throughout history, natural disasters have caused severe damage to people and properties worldwide. Flooding is one of the most disastrous types of natural disasters. A key feature of flood assessment has been making use of the information derived from remote-sensing imagery from optical sensors on satellites using spectral indices. Here, a study was conducted about a recent spectral index, the Normalised Difference Inundation Index, and a new ensemble spectral index, the Concatenated Normalised Difference Water Index, and two mature spectral indices: Normalised Difference Water Index and the differential Normalised Difference Water Index with four different machine learning algorithms: Decision Tree, Random Forest, Naive Bayes, and K-Nearest Neighbours applied to the PlanetScope satellite imagery about the Brisbane February 2022 flood which is in urban environment. Statistical analysis was applied to evaluate the results. Overall, the four algorithms provided no significant difference in terms of accuracy and F1 score. However, there were significant differences when some variations in the indices and the algorithms were combined. This research provides a validation of existing measures to identify floods in an urban environment that can help to improve sustainable development.

Mathematical model for forecasting corn yield depending on the value of the normalized differential vegetation index under irrigation conditions

Mathematical model for forecasting corn yield depending on the value of the normalized differential vegetation index under irrigation conditions

Bioinspired, surfactant-free, dual-layer asymmetric structures based on polysaccharides, gelatin, and tannic acid for potential applications in biomedicine

The formation of dual-layer asymmetric porous structures in surfactant-based systems is significantly influenced by emulsions. Surfactants self-assemble to alter the conformational arrangement of polysaccharides, while gravity disrupts the initial uniformity of the established equilibrium droplet concentration gradient in the emulsion, thus achieving delamination. Specifically, high-speed rotation and non-instantaneous freezing allow the gelatin solution to form two different states of foam layers. The integrated dual-layer asymmetric porous structure, composed of polysaccharides and tannic acid, is constructed with gelatin as a skeleton and surfactant. This innovative approach eliminates the need to consider the toxicity of chemically synthesized surfactants and expands the concept of gelatin utilization. This intriguing structure exhibits a variety of desirable characteristics within 30 days (e.g., tailorable performance, ultrarapid antioxidant activity, efficient antibacterial activity, low differential blood clotting index, and good hemocompatibility and cytocompatibility), suggesting its potential as a valuable reference for applying hierarchical porous structures, thereby offering more formulation flexibility for biomaterials with adjustable properties.

Unraveling genomic diversity and positive selection signatures of Qaidam cattle through whole-genome re-sequencing.

Qaidam cattle are a typical Chinese native breed inhabiting northwest China. They bear the characteristics of high cold and roughage tolerance, low-oxygen adaptability and good meat quality. To analyze the genetic diversity of Qaidam cattle, 60 samples were sequenced using whole-genome resequencing technology, along with 192 published sets of whole-genome sequencing data of Indian indicine cattle, Chinese indicine cattle, North Chinese cattle breeds, East Asian taurine cattle, Eurasian taurine cattle and European taurine cattle as controls. It was found that Qaidam cattle have rich genetic diversity in Bos taurus, but the degree of inbreeding is also high, which needs further protection. The phylogenetic analysis, principal component analysis and ancestral component analysis showed that Qaidam cattle mainly originated from East Asian taurine cattle. Qaidam cattle had a closer genetic relationship with the North Chinese cattle breeds and the least differentiation from Mongolian cattle. Annotating the selection signals obtained by composite likelihood ratio, nucleotide diversity analysis, integrated haplotype score, genetic differentiation index, genetic diversity ratio and cross-population extended haplotype homozygosity methods, several genes associated with immunity, reproduction, meat, milk, growth and adaptation showed strong selection signals. In general, this study provides genetic evidence for understanding the germplasm characteristics of Qaidam cattle. At the same time, it lays a foundation for the scientific and reasonable protection and utilization of genetic resources of Chinese local cattle breeds, which has great theoretical and practical significance.

Blood Indices of the Patients with β-Thalassemia Minor Compared to the Patients with β-Thalassemia Minor-Alpha-Thalassemia

Objective: Thalassemia, as one of the most common genetic diseases, is a group of hereditary hemoglobin disorders due to a slight disturbance in the production of alpha and beta globin chains in the structure of hemoglobin occurs. There are still no clear criteria for differentiating thalassemia types based on hematological findings. In the current study, we aimed to evaluate the low-grade beta-thalassemia (β-thalassemia) indices in comparison with β-thalassemia minor with alpha-thalassemia (α-thalassemia).&#x0D; Methods and materials: In this descriptive-analytic study, 120 patients were enrolled, including 80 patients with minor β-thalassemia and 40 patients with minor β-thalassemia with α-thalassemia. Of all patients, 5cc blood samples were taken. The red blood cell parameters including mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), and hemoglobin were determined. The level of MCV&gt; 80 and A2&gt; 3.5 β-thalassemia minor and MCV &lt;80 and A2 &lt;3.5 were considered as elevated thalassemia or iron deficiency anemia.&#x0D; Results: The results showed that the mean of hemoglobin, HCT, MCH, MCHC, and MCV in the β-thalassemia group was significantly lower than that of the β-thalassemia with α-thalassemia group (P &lt;0.0001). On the other hand, the level of these indices in the control group was significantly higher than in the two groups of patients (P&lt;0.0001). The results showed that the percentage of hemoglobin A2 in the β-alpha-thalassemia group was 4.5 ± 0.91, significantly higher than the β-thalassemia group. The rate of hemoglobin and MCV was significantly lower in the β-thalassemia group compared to the silent and trait β+αthalassemia group. Also, the rate of hematocrit was significantly lower in the β-thalassemia group compared to the trait, although had no significant difference with the silence group.&#x0D; Conclusion: Based on our findings, despite the difference between some hematocrit indices in the patients with β-thalassemia and β-αthalassemia, these indices cannot be used as differential indices.

Disruption of gonocyte development following neonatal exposure to di (2-ethylhexyl) phthalate

Pre- and/or post-natal administrations of di(2-ethylhexyl) phthalate (DEHP) in experimental animals cause alterations in the spermatogenesis. However, the mechanism by which DEHP affects fertility is unknown and could be through alterations in the survival and differentiation of the gonocytes. The aim of the present study was to evaluate the effect of a single administration of DEHP in newborn mice on gonocytic proliferation, differentiation and survival and its long-term effects on seminiferous epithelium and sperm quality. BALB/c mice distributed into Control and DEHP groups were used. Each animal in the DEHP group was given a single dose of 500 mg/Kg at birth. The animals were analyzed at 1, 2, 4, 6, 8, 10 and 70 days postpartum (dpp). Testicular tissues were processed for morphological analysis to determine the different types of gonocytes, differentiation index, seminiferous epithelial alterations, and immunoreactivity to Stra8, Pcna and Vimentin proteins. Long-term evaluation of the seminiferous epithelium and sperm quality were carried out at 70 dpp. The DEHP animal group presented gonocytic degeneration with delayed differentiation, causing a reduction in the population of spermatogonia (Stra8 +) in the cellular proliferation (Pcna+) and disorganization of Vimentin filaments. These events had long-term repercussions on the quality of the seminiferous epithelium and semen. Our study demonstrates that at birth, there is a period that the testes are extremely sensitive to DEHP exposure, which leads to gonocytic degeneration and delay in their differentiation. This situation can have long-term repercussions or permanent effects on the quality of the seminiferous epithelium and sperm parameters.

Petrogenesis of Variscan and Yanshanian magmatic rocks in the Longjiang region of Heilongjiang province and implications for ore exploration

The Longjiang region is located on the eastern slope of the southern section of the Great Xing'an Range, in the transition zone between the Songliao Basin and Great Xing'an Range uplift. As it is an extension of the Inner Mongolia Linxi-Tuquan Cu-Mo-Pb-Zn metallogenic belt in the Heilongjiang region, it has conditions conducive to the formation of porphyry deposits. We report zircon U-Pb dating and whole-rock geochemistry data of magmatic rocks in representative mineralized points in the Longjiang region. Zircon U-Pb age shows that the age of magmatic rocks is concentrated in the Variscan period (312 ± 5 ∼ 294 ± 2Ma) and Yanshanian period (134 ± 2 ∼ 123 ± 1Ma). According to whole-rock geochemical analysis, the granites have SiO2 contents of 61.2–69.16 % (66.9 % on average), Al2O3 contents of 13.87–15.98 %, MgO contents of 0.6–2.22 %, TiO2 contents of 0.25–0.88 %, K2O contents of 2.70–3.63 %, Na2O/K2O ratios of 1.05–2.05, and high K2O+Na2O contents (5.8–7.17 %), which are consistent with adakitic rocks. Yanshanian granites have A/CNK values of 1.02–2 and an average differentiation index of 84.7, which indicates that they are highly differentiated I-type granites. Variscan I-type granites represent the post-collisional setting of the Paleo-Asian Ocean and are relatively scarce in the region. Yanshanian highly differentiated I-type granites are products of the Paleo-Pacific Ocean's post-collisional retreat and are widely distributed in the region. As the materials and fluids that formed the Liujiushan, Haiyang, and Fendou deposits were derived from magmatic activities, and Variscan and Yanshanian magmas have excellent ore-forming potential. The highly differentiated I-type granites formed by intense Yanshanian magmatism are the most promising candidates for ore exploration in this region.

Research on SPAD Estimation Model for Spring Wheat Booting Stage Based on Hyperspectral Analysis.

With the rapid progression of agricultural informatization technology, the methodologies of crop monitoring based on spectral technology are constantly upgraded. In order to carry out the efficient, precise and nondestructive detection of relative chlorophyll (SPAD) during the booting stage, we acquired hyperspectral reflectance data about spring wheat vertical distribution and adopted the fractional-order differential to transform the raw spectral data. After that, based on correlation analysis, fractional differential spectra and fractional differential spectral indices with strong correlation with SPAD were screened and fused. Then, the least-squares support vector machine (LSSSVM) and the least-squares support vector machine (SMA-LSSSVM) optimized on the slime mold algorithm were applied to construct the estimation models of SPAD, and the model accuracy was assessed to screen the optimal estimation models. The results showed that the 0.4 order fractional-order differential spectra had the highest correlation with SPAD, which was 9.3% higher than the maximum correlation coefficient of the original spectra; the constructed two-band differential spectral indices were more sensitive to SPAD than the single differential spectra, in which the correlation reached the highest level of 0.724. The SMA-LSSSVM model constructed based on the two-band fractional-order differential spectral indices was better than the single differential spectra and the integration of both, which realized the assessment of wheat SPAD.

Analysis of the genetic structure of the introduced clearhead icefish (Protosalanx chinensis) populations in northern China.

When species are introduced to a new environment, they can quickly adapt to the environment and may differ from the indigenous species. The indigenous population of Protosalanx chinensis has a high level of genetic diversity, but it is unclear on the genetic diversity of the introduced populations in northeast China, which supports the major production of P. chinensis in the world. A total of 556 individuals of P. chinensis were collected during 2016-2021, from Lianhuan Lake (LHL), Xingkai Lake (XK), and Shuifeng Reservoir (SF), and one population was collected from the indigenous Taihu Lake (TH). Overall, 36 haplotypes were detected, and the genetic differences in P. chinensis populations within and between river basins were investigated. The nucleotide diversity (π) of the populations ranged from 0.0005 to 0.0032, and the haplotype diversity (Hd) ranged from 0.455 to 0.890, with the highest genetic diversity in the TH population, followed by the SF population, and lower genetic diversity in the XK and LHL populations. The analysis of the genetic differentiation index (Fst) and the genetic distance between populations showed that there was significant genetic differentiation between the TH population and the other populations. More sampling points have been set up in LHL for further analysis; the Dalong Lake (DL) and the Xiaolong Lake (XL) populations were far from the other populations within the LHL population. In this study, we didn't find a correlation between population size, stability, and genetic diversity, and the ecological measures of management should be decisive to the population dynamics. These results provide a basis for the rational utilization and effective management of P. chinensis.

Two-Dimensional SEC-SEC-UV-MALS-dRI Workflow for Streamlined Analysis and Characterization of Biopharmaceuticals.

The emergence of complex biological modalities in the biopharmaceutical industry entails a significant expansion of the current analytical toolbox to address the need to deploy meaningful and reliable assays at an unprecedented pace. Size exclusion chromatography (SEC) is an industry standard technique for protein separation and analysis. Some constraints of traditional SEC stem from its restricted ability to resolve complex mixtures and notoriously long run times while also requiring multiple offline separation conditions on different pore size columns to cover a wider molecular size distribution. Two-dimensional liquid chromatography (2D-LC) is becoming an important tool not only to increase peak capacity but also to tune selectivity in a single online method. Herein, an online 2D-LC framework in which both dimensions utilize SEC columns with different pore sizes is introduced with a goal to increase throughput for biomolecule separation and characterization. In addition to improving the separation of closely related species, this online 2D SEC-SEC approach also facilitated the rapid analysis of protein-based mixtures of a wide molecular size range in a single online experimental run bypassing time-consuming deployment of different offline SEC methods. By coupling the second dimension with multiangle light scattering (MALS) and differential refractive index (dRI) detectors, absolute molecular weights of the separated species were obtained without the use of calibration curves. As illustrated in this report for protein mixtures and vaccine processes, this workflow can be used in scenarios where rapid development and deployment of SEC assays are warranted, enabling bioprocess monitoring, purity assessment, and characterization.

Longitudinal Resilience and Risk Factors in Pediatric Postoperative Pain (LORRIS): Protocol for a Prospective Longitudinal Swiss University Children’s Hospitals-Based Study

IntroductionChronic postsurgical pain (CPSP) is defined as pain that persists after a surgical procedure and has a significant impact on quality of life. Previous studies show the importance of psychological...

Detection and Sequence Analysis of Toxoplasma Gondii B1 Gene in Tissues of Some Bird Species in Plateau State, Nigeria

Abstract Toxoplasma gondii is a single-cell parasite capable of infecting almost all homeotherms posing a grave public health risk globally. There is limited available literature on the T. gondii strains circulating in bird species in the Plateau State, of Nigeria. Consequently, this study was carried out to identify and confirm T. gondii infection and also determine the relationship of the DNA sequences with those of bird species in other parts of the world. To achieve this, brain and heart tissues of 25 bird species were sampled and a nested polymerase chain reaction (nPCR) and sequence analyses of the B1 gene were carried out. The DNA of T. gondii was identified in the heart and brain tissues of 7/7 (100.0 %) of wild bird species, and 15/18 (83.3 %) of domestic local chickens (Gallus gallus domesticus) sampled. The evolutionary relationship among the T. gondii sequences in this study using phylogenetic tree constructed by maximum likelihood method showed the sequences shared a common ancestor with the Type I RH strain (GenBank: AF179871). The T. gondii sequences were in a cluster distinct from other sequences in the GenBank. Calculations of genetic differentiation and genetic diversity indices undertaken and collated revealed three haplotypes with higher haplotype diversity within the T. gondii sequences obtained from wild birds (0.667) compared with the sequences from local chickens (0.333). A 97–100 % homology among the aligned sequences of T. gondii in the study shows that only one strain type exists in all of the samples. This study has established the occurrence of T. gondii infection in asymptomatic bird species in the study area and portrays them as carriers, and potential sources of human infection.

How Long-lived Grains Dominate the Shape of the Zodiacal Cloud

Grain–grain collisions shape the three-dimensional size and velocity distribution of the inner Zodiacal Cloud and the impact rates of dust on inner planets, yet they remain the least understood sink of zodiacal dust grains. For the first time, we combine the collisional grooming method combined with a dynamical meteoroid model of Jupiter-family comets (JFCs) that covers 4 orders of magnitude in particle diameter to investigate the consequences of grain–grain collisions in the inner Zodiacal Cloud. We compare this model to a suite of observational constraints from meteor radars, the Infrared Astronomical Satellite, mass fluxes at Earth, and inner solar probes, and use it to derive the population and collisional strength parameters for the JFC dust cloud. We derive a critical specific energy of QD*=5×105±4×105Rmet−0.24 J kg−1 for particles from JFC particles, making them 2–3 orders of magnitude more resistant to collisions than previously assumed. We find that the differential power-law size index −4.2 ± 0.1 for particles generated by JFCs provides a good match to observed data. Our model provides a good match to the mass-production rates derived from the Parker Solar Probe observations and their scaling with the heliocentric distance. The higher resistance to collisions of dust particles might have strong implications to models of collisions in solar and exosolar dust clouds. The migration via Poynting–Robertson drag might be more important for denser clouds, the mass-production rates of astrophysical debris disks might be overestimated, and the mass of the source populations might be underestimated. Our models and code are freely available online.