Combination of Human Leukocyte Antigen and Killer Cell Immunoglobulin-Like Receptor Genetic Background Influences the Onset Age of Hepatocellular Carcinoma in Male Patients with Hepatitis B Virus Infection

To investigate whether killer cell immunoglobulin-like receptor (KIR) and human leukocyte antigen (HLA) genetic background could influence the onset age of hepatocellular carcinoma (HCC) in patients with hepatitis B virus (HBV) infection, one hundred and seventy-one males with HBV-related HCC were enrolled. The presence of 12 loci of KIR was detected individually. HLA-A, -B, and -C loci were genotyped with high resolution by a routine sequence-based typing method. The effect of each KIR locus, HLA ligand, and HLA-KIR combination was examined individually by Kaplan-Meier (KM) analysis. Multivariate Cox hazard regression model was also applied. We identified C1C1-KIR2DS2/2DL2 as an independent risk factor for earlier onset age of HCC (median onset age was 44 for C1C1-KIR2DS2/2DL2 positive patients compared to 50 for negative patients, P=0.04 for KM analysis; HR = 1.70, P=0.004 for multivariate Cox model). We conclude that KIR and HLA genetic background can influence the onset age of HCC in male patients with HBV infection. This study may be useful to improve the current HCC surveillance program in HBV-infected patients. Our findings also suggest an important role of natural killer cells (or other KIR-expressing cells) in the progress of HBV-related HCC development

Decoding the spermatogonial stem cell niche under physiological and recovery conditions in adult mice and humans

The intricate interaction between spermatogonial stem cell (SSC) and testicular niche is essential for maintaining SSC homeostasis; however, this interaction remains largely uncharacterized. In this study, to characterize the underlying signaling pathways and related paracrine factors, we delineated the intercellular interactions between SSC and niche cell in both adult mice and humans under physiological conditions and dissected the niche-derived regulation of SSC maintenance under recovery conditions, thus uncovering the essential role of C-C motif chemokine ligand 24 and insulin-like growth factor binding protein 7 in SSC maintenance. We also established the clinical relevance of specific paracrine factors in human fertility. Collectively, our work on decoding the adult SSC niche serves as a valuable reference for future studies on the aetiology, diagnosis, and treatment of male infertility.</p

Identification of microtubule-associated biomarkers in diffuse large B-cell lymphoma and prognosis prediction

Background: Diffuse large B-cell lymphoma (DLBCL) is a genetically heterogeneous disease with a complicated prognosis. Even though various prognostic evaluations have been applied currently, they usually only use the clinical factors that overlook the molecular underlying DLBCL progression. Therefore, more accurate prognostic assessment needs further exploration. In the present study, we constructed a novel prognostic model based on microtubule associated genes (MAGs).Methods: A total of 33 normal controls and 1360 DLBCL samples containing gene-expression from the Gene Expression Omnibus (GEO) database were included. Subsequently, the univariate Cox, the least absolute shrinkage and selection operator (LASSO), and multivariate Cox regression analysis were used to select the best prognosis related genes into the MAGs model. To validate the model, Kaplan-Meier curve, and nomogram were analyzed.Results: A risk score model based on fourteen candidate MAGs (CCDC78, CD300LG, CTAG2, DYNLL2, MAPKAPK2, MREG, NME8, PGK2, RALBP1, SIGLEC1, SLC1A1, SLC39A12, TMEM63A, and WRAP73) was established. The K-M curve presented that the high-risk patients had a significantly inferior overall survival (OS) time compared to low-risk patients in training and validation datasets. Furthermore, knocking-out TMEM63A, a key gene belonging to the MAGs model, inhibited cell proliferation noticeably.Conclusion: The novel MAGs prognostic model has a well predictive capability, which may as a supplement for the current assessments. Furthermore, candidate TMEM63A gene has therapeutic target potentially in DLBCL

MIDAS: A Data Aggregation Scheduling Scheme for Variable Aggregation Rate WSNs

Data aggregation scheduling for variable aggregation rate model has wide application and should take network lifetime and energy efficiency into consideration. In this paper, the time-slot scheduling problem for the variable aggregation rate model is presented, and a time-slot scheduling integrating consideration of minimizing the energy consumption named Makeup Integer based Data Aggregation Scheduling (MIDAS) is proposed. The proposed MIDAS scheme integrates two core phases, namely, data aggregation set construction and aggregation set based scheduling algorithm. The key idea of MIDAS is to minimize the number of receiving and sending data packets in hotspot and to reduce the number of aggregated packets in network for better scheduling performance in network lifetime. Furthermore, it is also essential to increase energy utilization efficiency of the nodes in the middle layer by exploiting the remaining energy of peripheral nodes. A series of experiments are simulated to demonstrate that the proposed scheme has significantly increased the network lifetime and the energy utilization efficiency under the different aggregation rates and different network scales. Comparing with the SDAS, the lifetime can be increased by as much as 25%. The energy utilization efficiency can be improved by as much as 30%

The complete chloroplast genome sequence of Artemisia ordosica

The complete chloroplast genome sequence of Artemisia ordosica was characterized from Illumina pair-end sequencing. The chloroplast genome of A. ordosica was 151,209 bp in length, containing a large single-copy region (LSC) of 80,975 bp, a small single-copy region (SSC) of 16,002 bp, and two inverted repeat (IR) regions of 27,116 bp. The overall GC content is 30.71%, while the correponding values of the LSC, SSC, and IR regions are 64.2%, 69.3%, and 60.0%, respectively. The genome contains 138 complete genes, including 91 protein-coding genes (62 protein-coding gene species), 39 tRNA genes (29 tRNA species) and 8 rRNA genes (4 rRNA species). The Neighbour-joining phylogenetic analysis showed that A. ordosica and Artemisia scoparia clustered together as sisters to other Artemisia species

Data_Sheet_1_Soil nematode community assembly in a primary tropical lowland rainforest.docx

More than half of the world's tropical lowland rainforests have been lost due to conversion to agricultural land (such as rubber plantations). Thus, ecological restoration in degraded tropical lowland rainforests is crucial. The first step to restoration is restoring soil functioning (i.e., soil fertility, carbon, and nitrogen cycling) to levels similar to those in the primary tropical lowland rainforest. This requires understanding soil nematode community assembly in primary tropical lowland rainforest, which has never been explored in this habitat. In this study, we measured species compositions of plant and soil nematode communities and soil characteristics (pH, total and available nitrogen, phosphorus, and soil water content) in a primary tropical lowland rainforest, which is located on Hainan Island, China. We performed two tests (the null-model test and distance-based Moran's eigenvector maps (MEM) and redundancy analysis-based variance partitioning) to quantify the relative contribution of the deterministic (abiotic filtering and biotic interactions) and stochastic processes (random processes and dispersal limitation) to the soil nematode community. We found that a deterministic process (habitat filtering) determined nematode community assembly in our tropical lowland rainforest. Moreover, soil properties, but not plant diversity, were the key determinants of nematode community assembly. We have, for the first time, managed to identify factors that contribute to the nematode community assembly in the tropical lowland rainforest. This quantified community assembly mechanism can guide future soil functioning recovery of the tropical lowland rainforest.</p

An analysis of codon utilization patterns in the chloroplast genomes of three species of Coffea

Abstract Background The chloroplast genome of plants is known for its small size and low mutation and recombination rates, making it a valuable tool in plant phylogeny, molecular evolution, and population genetics studies. Codon usage bias, an important evolutionary feature, provides insights into species evolution, gene function, and the expression of exogenous genes. Coffee, a key crop in the global tropical agricultural economy, trade, and daily life, warrants investigation into its codon usage bias to guide future research, including the selection of efficient heterologous expression systems for coffee genetic transformation. Results Analysis of the codon utilization patterns in the chloroplast genomes of three Coffea species revealed a high degree of similarity among them. All three species exhibited similar base compositions, with high A/T content and low G/C content and a preference for A/T-ending codons. Among the 30 high-frequency codons identified, 96.67% had A/T endings. Fourteen codons were identified as ideal. Multiple mechanisms, including natural selection, were found to influence the codon usage patterns in the three coffee species, as indicated by ENc-GC3s mapping, PR2 analysis, and neutral analysis. Nicotiana tabacum and Saccharomyces cerevisiae have potential value as the heterologous expression host for three species of coffee genes. Conclusion This study highlights the remarkable similarity in codon usage patterns among the three coffee genomes, primarily driven by natural selection. Understanding the gene expression characteristics of coffee and elucidating the laws governing its genetic evolution are facilitated by investigating the codon preferences in these species. The findings can enhance the efficacy of exogenous gene expression and serve as a basis for future studies on coffee evolution

Elevated CRP at admission predicts post-stroke cognitive impairment in Han Chinese patients with intracranial arterial stenosis

<p>Elevated C-reactive protein (CRP) levels have been associated with cognitive deficits in certain patient populations, but whether this is also true of ischemic stroke patients is controversial. This study aims to examine the possible association between CRP concentration and post-stroke cognitive impairment (PSCI) in Han Chinese patients and to determine whether this association depends on intracranial arterial stenosis (ICAS).</p> <p>Patients with mild or moderate stroke admitted to a large regional medical center in Western China were consecutively enrolled in our study. Serum levels of CRP and ICAS severity were assessed at admission and cognitive status was assessed 6 months after stroke using the Six-Item Screener.</p> <p>Of the 1116 patients included in our study, no association was observed between CRP levels at admission and cognitive performance at 6 months. However, among the subgroup of 311 patients with ICAS, a significant association did exist, and it persisted even after adjusting for potential confounders (OR 1.038, 95% CI 1.015–1.061). We did not find the same association in the subgroup of the patients without ICAS.</p> <p>To our knowledge, this is the first study to explore the effects of CRP on PSCI in Han Chinese with ICAS. Our findings indicate that higher CRP levels at admission are associated with subsequent cognitive decline in Han Chinese patients with ICAS following ischemic stroke. Further studies in other ethnic groups are needed to validate the use of CRP to predict dementia in ICAS patients.</p