A pan-cancer analysis of the prognosis and immune infiltration of eEF1A2 and its potential function in thyroid carcinoma.

Purpose: Eukaryotic translation elongation factor 1α2 (eEF1A2) promotes tumour progression in various cancers. We performed a pan-cancer analysis of eEF1A2 and explored its role in thyroid carcinoma (THCA). Methods: Databases from The Cancer Genome Atlas (TCGA), the University of Alabama at Birmingham Cancer data analysis Portal (UALCAN), and the Human Protein Atlas (HPA) were used to investigate the differential expression of eEF1A2 in pan-cancer. The pathological stage, prognostic characteristics, tumour microenvironment (TME), tumour mutational burden (TMB), and microsatellite instability (MSI) were analysed in diverse tumours with different expression levels of eEF1A2. The expression levels in papillary thyroid carcinoma (PTC) and its specific role in cell proliferation, migration, invasion, and cell glycolysis in PTC cells were verified by quantitative real time polymerase chain reaction (qRT-PCR), immunohistochemistry, cell counting kit-8, colony formation, wound healing, Transwell assay, and lactate acid and glucose assays.Results:eEF1A2 was differentially expressed in various malignant tumour tissues compared to control tissues and was associated with poor pathological stage and prognosis in most types of tumours. Moreover, eEF1A2 expression closely correlated with the infiltration of immunosuppressive cells, TMB, and MSI in some tumour types. Expression of eEF1A2 in PTC is higher than the para-carcinoma, and eEF1A2 downregulation suppressed TPC-1 and BCPAP cell proliferation, migration, invasion, and glycolysis. Conclusion: Our study suggests that the expression of eEF1A2 is related to the prognosis and immune infiltration of some tumours and may be a predictor of prognosis and immunotherapy. eEF1A2 could promote malignant behaviour of PTC cells.

Transcription factor FOXP4 inversely governs tumor suppressor genes and contributes to thyroid cancer progression.

Objective: In recent decades, thyroid cancer (TC) has exhibited a rising incidence pattern. Elevated levels of the transcription factor FOXP4 have been strongly linked to the progression of diverse tumors; nevertheless, its specific role in thyroid cancer remains underexplored. The primary objective of this study was to elucidate the functions of FOXP4 and its associated target gene, FBXW7, in the context of thyroid cancer. Methods: FOXP4 and FBXW7 expression levels in TC tissues and cell lines were assessed through immunohistochemistry and RT-qPCR analyses. The functional aspects of FOXP4, including its effects on cell proliferation, migration capabilities, cell cycle regulation, and epithelial-mesenchymal transition (EMT), were investigated. Furthermore, the interaction between FOXP4 and FBXW7 was confirmed using chromatin immunoprecipitation (ChIP) assays. The impact of FBXW7 on FOXP4-mediated cellular phenotypes was subsequently examined. Additionally, the in vivo role of FOXP4 and FBXW7 in tumor growth was elucidated through the establishment of a murine tumor model. Results: Elevated levels of FOXP4 were observed in papillary carcinoma tissues, and patients exhibiting high FBXW7 levels showed a more favorable prognosis. KTC-1 cells displayed a concomitant increase in FOXP4 expression and decrease in FBXW7 expression. FOXP4 overexpression in these cells enhanced cell proliferation, migration capabilities, and EMT. The interaction between the FOXP4 protein and the FBXW7 promoter was confirmed, and the effects of FOXP4 were mitigated upon overexpression of FBXW7. Furthermore, knockdown of FOXP4 led to decelerated growth of transplanted tumors and increased FBXW7 levels within the tumors. Conclusion: The findings of the current study underscore the regulatory role of FOXP4 in the transcription of FBXW7 and establish a clear link between aberrations in FBXW7 expression and the manifestation of malignant phenotypes in highly aggressive TC cells.

Tapered Fiber Bioprobe Based on U-Shaped Fiber Transmission for Immunoassay.

In this paper, a tapered fiber bioprobe based on Mach-Zehnder interference (MZI) is proposed. To retain the highly sensitive straight-tapered fiber MZI sensing structure, we designed a U-shaped transmission fiber structure for the collection of optical sensing signals to achieve a miniature-insert-probe design. The spectrum responses from the conventional straight-tapered fiber MZI sensor and our proposed sensor were compared and analyzed, and experimental results showed that our proposed sensor not only has the same sensing capability as the straight-tapered fiber sensor, but also has the advantages of being flexible, convenient, and less liquid-consuming, which are attributed to the inserted probe design. The tapered fiber bioprobe obtained a sensitivity of 1611.27 nm/RIU in the refractive index detection range of 1.3326-1.3414. Finally, immunoassays for different concentrations of human immunoglobulin G were achieved with the tapered fiber bioprobe through surface functionalization, and the detection limit was 45 ng/mL. Our tapered fiber bioprobe has the insert-probe advantages of simpleness, convenience, and fast operation. Simultaneously, it is low-cost, highly sensitive, and has a low detection limit, which means it has potential applications in immunoassays and early medical diagnosis.

A novel multi-frame wavelet generative adversarial network for scattering reconstruction of structured illumination microscopy.

Objective. Structured illumination microscopy (SIM) is widely used in various fields of life science research. In clinical practice, it has low phototoxicity, fast imaging speed and no special fluorescent markers. However, SIM is still affected by the scattering medium of biological tissues, resulting in insufficient resolution of the obtained images, which limits the development of life sciences. A novel multi-frame wavelet generation adversarial network (MWGAN) is proposed to improve the scattering reconstruction capability of SIM.Approach. MWGAN is based on two components derived from the original image. A generative adversarial network constructed by wavelet transform is trained to reconstruct some complex details in the cell structure. Multi-frame adversarial network is used to obtain the inter-frame information of the image and use the complementary information of the before and after frames to improve the quality of the model reconstruction.Results. To demonstrate the robustness of MWGAN, multiple low-quality SIM image datasets are tested. Compared with the state-of-the-art methods, the proposed method achieves superior performance in both of the subjective and objective evaluation.Conclusion. MWGAN is effective for improving the clarity of SIM images. Meanwhile, the SIM images reconstructed by multiple frames improve the reconstruction quality of complex regions and allow clearer and dynamic observation of cellular functions.

SFWN: A Novel Semi-Supervised Feature Weighted Neural Network for Gene Data Feature Learning and Mining with Graph Modeling.

Gene expression data can serve for analyzing the genes with changed expressions, the correlation between genes and the influence of different circumstance on gene activities. However, labeling a large number of gene expression data is laborious and time-consuming. The insufficient labeled data pose a challenge to construct the deep learning model. Currently, some graph neural networks (GNN) based on semi-supervised learning mechanism only focus on the feature space and sample space of gene expression data, possibly affecting the accuracy. This paper puts forward a novel semi-supervised graph neural network model (SFWN). Firstly, we use the external knowledge of gene expression data for constructing a feature graph, a similarity kernel, and a sample graph for the first time. Later, a novel semi-supervised learning algorithm (SGA) is proposed to extract the data relationship and obtain the global sample structure better. A graph sparse module (SGCN) is also proposed to process sparse representation with gene expression data classification. To overcome the over smoothing problem, a new feature calculation method based on two spaces is proposed to feature representation analysis and calculation in this model. According to a lot of experiments and ablation studies conducted on several public datasets, SFWN exhibits a better effect and is superior to the state-of-the-art approaches (the accuracy and F1-Score are 0.9993 and 0.9899, respectively). Experimental results showed that the proposed SFWN model has strong gene expression feature learning and representation ability, and may provide a new insight and tool for relevant disease diagnosis and clinic practice.

The essential role of forkhead box P4 (FOXP4) in thyroid cancer: a study related to The Cancer Genome Atlas and experimental data.

Objective: Thyroid cancer (THCA) is the most common endocrine cancer in the world. Although most patients with THCA have a good prognosis, the prognosis of those with THCA who have an extra-glandular invasion, vascular invasion, and distant metastasis is poor. Therefore, it is very important to find potential biomarkers that can effectively predict the prognosis and progression of highly aggressive THCAs. It has been identified that forkhead box P4 (FOXP4) may be a new biomarker for the proliferation and prognosis for tumor diagnosis. However, the expression and function of FOXP4 in THCA remain to be determined. Methods: In the present study, the function of FOXP4 in cells was investigated through the comprehensive analysis of data in The Cancer Genome Atlas and combined with experiments including immunohistochemistry (IHC), colony formation, Cell Counting Kit-8 assay, wound scratch healing, and transwell invasion assay. Results: In the present study, relevant bioinformatic data showed that FOXP4 was highly expressed in THCA, which was consistent with the results of the IHC and cell experiments. Meanwhile, 10 FOXP4-related hub genes were identified as potential diagnostic genes for THCA. It was found in further experiments that FOXP4 was located in the nucleus of THCA cells, and the expression of FOXP4 in the nucleus was higher than that in the cytoplasm. FOXP4 knockdown inhibited in vitro proliferation of the THCA cells, whereas overexpression promoted the proliferation and migration of THCA cells. Furthermore, deficiency of FOXP4 induced cell-cycle arrest. Conclusion: FOXP4 might be a potential target for diagnosing and treating THCA.

Vision-based estimation of MDS-UPDRS scores for quantifying Parkinson's disease tremor severity.

Parkinson's disease (PD) is a common neurodegenerative movement disorder among older individuals. As one of the typical symptoms of PD, tremor is a critical reference in the PD assessment. A widely accepted clinical approach to assessing tremors in PD is based on part III of the Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS). However, expert assessment of tremor is a time-consuming and laborious process that poses considerable challenges to the medical evaluation of PD. In this paper, we proposed a novel model, Global Temporal-difference Shift Network (GTSN), to estimate the MDS-UPDRS score of PD tremors based on video. The PD tremor videos were scored according to the majority vote of multiple raters. We used Eulerian Video Magnification (EVM) pre-processing to enhance the representations of subtle PD tremors in the videos. To make the model better focus on the tremors in the video, we proposed a special temporal difference module, which stacks the current optical flow to the result of inter-frame difference. The prediction scores were obtained from the Residual Networks (ResNet) embedded with a novel module, the Global Shift Module (GSM), which allowed the features of the current segment to include the global segment features. We carried out independent experiments using PD tremor videos of different body parts based on the scoring content of the MDS-UPDRS. On a fairly large dataset, our method achieved an accuracy of 90.6% for hands with rest tremors, 85.9% for tremors in the leg, and 89.0% for the jaw. An accuracy of 84.9% was obtained for postural tremors. Our study demonstrated the effectiveness of computer-assisted assessment for PD tremors based on video analysis. The latest version of the code is available at https://github.com/199507284711/PD-GTSN.

A Spatial-Temporal Graph Model for Pronunciation Feature Prediction of Chinese Poetry.

With the development of artificial intelligence, speech recognition and prediction have become one of the important research domains with wild applications, such as intelligent control, education, individual identification, and emotion analysis. Chinese poetry reading contains rich features of continuous pronunciations, such as mood, emotion, rhythm schemes, lyric reading, and artistic expression. Therefore, the prediction of the pronunciation characteristics of a Chinese poetry reading is the significance for the presentation of high-level machine intelligence and has the potential to create a high-level intelligent system for teaching children to read Tang poetry. Mel frequency cepstral coefficient (MFCC) is currently used to present important speech features. Due to the complexity and high degree of nonlinearity in poetry reading, however, there is a tough challenge facing accurate pronunciation feature prediction, that is, how to model complex spatial correlations and time dynamics, such as rhyme schemes. As for many current methods, they ignore the spatial and temporal characteristics in MFCC presentation. In addition, these methods are subjected to certain limitations on prediction for long-term performance. In order to solve these problems, we propose a novel spatial-temporal graph model (STGM-MHA) based on multihead attention for the purpose of pronunciation feature prediction of Chinese poetry. The STGM-MHA is designed using an encoder-decoder structure. The encoder compresses the data into a hidden space representation, while the decoder reconstructs the hidden space representation as output. In the model, a novel gated recurrent unit (GRU) module (AGRU) based on multihead attention is proposed to extract the spatial and temporal features of MFCC data effectively. The evaluation comparison of our proposed model versus state-of-the-art methods in six datasets reveals the clear advantage of the proposed model.

Influenza A virus NS1 protein represses antiviral immune response by hijacking NF-κB to mediate transcription of type III IFN.

Background: Non-structural protein 1 (NS1), one of the viral proteins of influenza A viruses (IAVs), plays a crucial role in evading host antiviral immune response. It is known that the IAV NS1 protein regulates the antiviral genes response mainly through several different molecular mechanisms in cytoplasm. Current evidence suggests that NS1 represses the transcription of IFNB1 gene by inhibiting the recruitment of Pol II to its exons and promoters in infected cells. However, IAV NS1 whether can utilize a common mechanism to antagonize antiviral response by interacting with cellular DNA and immune-related transcription factors in the nucleus, is not yet clear. Methods: Chromatin immunoprecipitation and sequencing (ChIP-seq) was used to determine genome-wide transcriptional DNA-binding sites for NS1 and NF-κB in viral infection. Next, we used ChIP-reChIP, luciferase reporter assay and secreted embryonic alkaline phosphatase (SEAP) assay to provide information on the dynamic binding of NS1 and NF-κB to chromatin. RNA sequencing (RNA-seq) transcriptomic analyses were used to explore the critical role of NS1 and NF-κB in IAV infection as well as the detailed processes governing host antiviral response. Results: Herein, NS1 was found to co-localize with NF-κB using ChIP-seq. ChIP-reChIP and luciferase reporter assay confirmed the co-localization of NS1 and NF-κB at type III IFN genes, such as IFNL1, IFNL2, and IFNL3. We discovered that NS1 disturbed binding manners of NF-κB to inhibit IFNL1 expression. NS1 hijacked NF-κB from a typical IFNL1 promoter to the exon-intron region of IFNL1 and decreased the enrichment of RNA polymerase II and H3K27ac, a chromatin accessibility marker, in the promoter region of IFNL1 during IAV infection, consequently reducing IFNL1 gene expression. NS1 deletion enhanced the enrichment of RNA polymerase II at the IFNL1 promoter and promoted its expression. Conclusion: Overall, NS1 hijacked NF-κB to prevent its interaction with the IFNL1 promoter and restricted the open chromatin architecture of the promoter, thereby abating antiviral gene expression.

FOXP4-AS1 Inhibits Papillary Thyroid Carcinoma Proliferation and Migration Through the AKT Signaling Pathway.

Papillary thyroid carcinoma, also known as PTC, is one of the commonest malignancies in the endocrine system. Long non-coding RNAs (lncRNAs) in PTC could maintain proliferative signaling, induce therapeutic resistance, activate invasion and migration, and sustain stem cell-like characteristics. In this paper, results showed that lncRNA forkhead box P4 antisense RNA 1 (FOXP4-AS1) is downregulated in PTC tissues and cell lines. Patients in TCGA cohort with a higher FOXP4-AS1 expression showed a higher disease-free interval (DFI) rate, and the expression of FOXP4-AS1 is shown to be linked to the clinical stage, T stage, N stage, and extraglandular invasion condition of the TC patients. FOXP4-AS1 is localized in the cell cytoplasmic domain of PTC cells. Functionally, upregulated FOXP4-AS1 inhibited PTC cell proliferation, apoptosis, and migration, whereas it downregulated FOXP4-AS1-promoted progression of PTC. In vivo assay also confirmed the tumor inhibitory effect of FOXP4-AS1 in PTC growth. Mechanism analysis indicated that FOXP4-AS1 can play its functions by regulating the AKT signaling pathway, and AKT inhibitor treatment could attenuate the impact of FOXP4-AS1 on PTC progression. Furthermore, FOXP4-AS1 also negatively regulates the expression of its host gene FOXP4. Collectively, we showed that FOXP4-AS1 inhibited PTC progression although AKT signaling and FOXP4-AS1 plays a tumor-suppressor role in PTC tumorigenesis.

High expression of SEZ6L2 as an independent prognostic Indicator in thyroid carcinoma.

Background: Seizure-related 6 homolog (mouse)-like 2 (SEZ6L2) is a type 1 transmembrane protein that is primarily expressed in the brain . In recent reports, SEZ6L2 has been found to be overexpressed in some cancers and can drive the progression of tumors. However, its function and mechanism in thyroid cancer remain unclear. Methods: In this article ,we searched for the SEZ6L2 expressions in Pan-cancer on TCGA (The Cancer Genome Atlas) and evaluated these data using the TIMER2 method. Then, the immunohistochemical score (IHC score) of SEZ6L2 in cancer tissue was collected in human protein mapping (HPA) data. And we used CIBERSORT to assess the association between the levels of SEZ6L2 expression and the number of various immune cells in papillary thyroid carcinoma (PTC) tissue. Finally, Gene Expression Omnibus (GEO) analyses, real-time quantitative polymerase chain reaction (qRT-PCR) of tissues, and immunohistochemical staining were used to detect the result. Results: The article illustrated that a large number of cancers had a higher expression of SEZ6L2 compared to the control tissues. And the immunohistochemical score (IHC score) of SEZ6L2 in cancer tissue was considerably elevated compared to that in normal tissues SEZ6L2 was elevated in thyroid carcinoma (THCA) tissue, besides, GEO analyses, qRT-PCR of tissues, and immunohistochemical staining were conducted to test the results. Finally, the Kaplan-Meier survival analysis illustrated that the increased expression of SEZ6L2 was correlated with a dismal prognosis-higher SEZ6L2 is associated with shorter survival. And the univariate analysis illustrated that T stage, SEZ6L2 and Pathologic stage were related to the overall survival (OS), multivariate analysis stated that elevated expression of SEZ6L2 was an independent risk factor that affected progression-free interval (PFI) (P<0.05). Consequently, we found that the expression of SEZ6L2 was correlated with tumor-infiltrating immune cells by TIMER. Conclusions: SEZ6L2 was upregulated in patients with THCA and that increased expression of SEZ6L2 was related with clinical progression and was regarded as an independent risk factor for PFI. In THCA patients, the expression of SEZ6L2 could be a significant prognostic factor, which is expected to be a prospective biomarker for THCA in the future.

[Pollution Characteristics and Risk Assessment of Nutrients and Heavy Metals in Sediments of the Fuhe River Influenced Area, Baiyangdian Lake].

Based on the flow direction of the Fuhe River into Baiyangdian Lake, the impacted area of the Fuhe River was divided into 6 subareas, and sediments from 48 sites were collected in November 2020. The characteristics and risks of sediment nutrients and heavy metal pollution in these six subareas were investigated. The results showed that the average ω(TN), ω(TP), and ω(TOC) were 1841 mg·kg-1, 769 mg·kg-1, and 1.77%, respectively. The major heavy metals were Cd, Cu, Zn, Hg, and Pb, which were 3.73, 1.50, 1.42, 1.31, and 1.31 times the soil background values for Hebei Province, respectively. The TP and heavy metal (Cd, Cu, Zn, Hg, and Pb) content showed a decreasing trend from the Fuhe River estuary to the downstream Zaolinzhuang, whereas the TN and TOC content showed no marked trends. TN, TP, TOC, and heavy metals (Cd, Cu, Zn, Hg, and Pb) were enriched in surface sediments (0-10 cm). The TP content in the surface sediments (0-10 cm) of the Fuhe River estuary, Fuhe River estuary-Nanliuzhuang, and Nanliuzhuang subareas were heavily polluted; the Wangjiazhai and Guangdian subareas were moderately polluted; and the Zaolinzhuang subarea was slightly polluted. Cd and Hg were the major contributors to heavy metal pollution, which were at considerable risk and moderate risk levels, respectively. The heavy metals in surface sediments (0-10 cm) of the Fuhe River estuary, Fuhe River estuary-Nanliuzhuang, and Nanliuzhuang subareas were at a considerable risk level, and the sediments below 30 cm presented a low risk level. The leaching concentrations of heavy metals in sediments from the subarea of severe ecological risk level were far less than the identification standard values of leaching toxicity, suggesting that the sediments can be treated as general waste after dredging.

The spatial variations of water quality and effects of water landscape in Baiyangdian Lake, North China.

Baiyangdian Lake (BYD), a large shallow lake in North China, has complex water landscape patterns that are underlies spatial variations in water quality. In this study, we collected 61 water samples from three water landscapes (reed littoral zones, fish ponds, and open water) and analyzed them for water quality parameters, such as dissolved organic carbon (DOC), total nitrogen (TN), and total phosphorus (TP). Water landscape distribution (determined using remote sensing imagery) was then used to assess correlations between water quality parameters and water landscape proportion in differently scaled buffer zones. There was substantial variation across all subareas, with TN and TP concentrations ranging from 0.90 to 4.10 mg/L and 0.06 to 0.18 mg/L, respectively, in class IV of water quality as a whole. Spatial variations in water quality were mainly caused by water landscape distribution and external nutrient inputs. There were negative correlations between DOC, TN, and TP concentrations and the area proportion of reed littoral zones in the 300 and 500 m buffers. In contrast, DOC, TN, and TP concentrations were significantly positively correlated with the area proportion of fish ponds in the 100 m buffer. Furthermore, compared with reed littoral zones, a lower ratio of nitrogen to phosphorus and a higher proportion of dissolved organic nitrogen and tyrosine-like proteins were found in fish ponds. These effects were mainly attributed to the development of internal sediment loadings due to nutrient exchange across the sediment-water interface. Therefore, dredging-based sediment removal from fish ponds should be considered to suppress internal phosphorus loading and accelerate recovery of the BYD ecosystem.

Plasmonic tapered-fiber interference sensor for simultaneously detecting refractive index and temperature.

A single-optic-fiber sensor is proposed to simultaneously detect the refractive index (RI) and temperature (T) at a single wavelength band. This sensor is based on the mixed effects of Mach-Zehnder interference (MZI) and surface plasmon resonance (SPR), where MZI is excited by a tapered-fiber structure, and SPR is stimulated by a 45 nm gold film on the tapered-fiber surface. The detection signal of an SPR spectrum superimposed on interference stripes was obtained. After fast Fourier transform and filter processing, the MZI and SPR signals were separated. Experimental results indicate that our sensor can improve the RI sensitivity to 2021.07 nm/RIU (21-fold greater than that of the original tapered-fiber MZI sensor) and detect T simultaneously. Additionally, this highly integrated sensor simplifies the detection system, with potential applications in portable biochemical sensing.

[Correlation of single nucleotide polymorphisms of the osteopontin gene with astheozoospermia].

OBJECTIVE: To investigate the correlation of the single nucleotide polymorphisms (SNP) rs1126772, rs117291487, rs11730582, rs142608941 and rs6813526 of the osteopontin (OPN) gene with the risk of asthenozoospermia (AZS). METHODS: We included 135 AZS patients in the AZS group and another 239 fertile men as normal controls. Using the SNaPshot technique, we genotyped the rs1126772, rs117291487, rs11730582, rs142608941 and rs6813526 polymorphisms of the OPN gene in all the subjects and analyzed the correlation of the five SNPs with AZS. RESULTS: The GA genotype and A allele of the OPN gene rs1126772 were found to be correlated with the risk of AZS (GA vs AA: OR = 0.55, 95% CI: 0.35－0.86, P = 0.009; A vs G: OR = 0.64, 95% CI: 0.46－0.89, P = 0.007), and so was the CT genotype and T allele at the RS11730582 locus (CT vs TT: OR = 0.526, 95% CI: 0.34－0.82, P = 0.009; T vs C: OR = 0.60, 95% CI: 0.44－0.83, P = 0.002). Haplotype analysis showed that the AATCT haplotype decreased the risk of AZS (AATCT: OR = 0.61, 95% CI: 0.42－0.88, P = 0.008) . CONCLUSIONS: The polymorphisms of the OPN gene RS1126772 and RS11730582 may reduce the risk of AZS.

Quantification of scar collagen texture and prediction of scar development via second harmonic generation images and a generative adversarial network.

Widely used for medical analysis, the texture of the human scar tissue is characterized by irregular and extensive types. The quantitative detection and analysis of the scar texture as enabled by image analysis technology is of great significance to clinical practice. However, the existing methods remain disadvantaged by various shortcomings, such as the inability to fully extract the features of texture. Hence, the integration of second harmonic generation (SHG) imaging and deep learning algorithm is proposed in this study. Through combination with Tamura texture features, a regression model of the scar texture can be constructed to develop a novel method of computer-aided diagnosis, which can assist clinical diagnosis. Based on wavelet packet transform (WPT) and generative adversarial network (GAN), the model is trained with scar texture images of different ages. Generalized Boosted Regression Trees (GBRT) is also adopted to perform regression analysis. Then, the extracted features are further used to predict the age of scar. The experimental results obtained by our proposed model are better compared to the previously published methods. It thus contributes to the better understanding of the mechanism behind scar development and possibly the further development of SHG for skin analysis and clinic practice.

[Identification of Dredging Depths Based on Sediment Vertical Distribution Profiles of Total Nitrogen and Total Phosphorus and Their Adsorption-desorption Equilibria].

A dredging demonstration project in the Baiyangdian Lake included open waters and fishing ponds to reduce the internal release of nitrogen and phosphorus from bottom sediments. The dredging depth design was determined by both the sediment vertical distribution profile of total nitrogen and phosphorus, and the sediment adsorption-desorption equilibrium method. The determined dredging depths were very similar and coincident. The dredging depth for the demonstration area of open waters in Nanliuzhuang was identified as(50±10) cm; and the dredging depths for fishing ponds were(30±10) cm in both the Nanliuzhuang and Caiputai demonstration areas. The equilibrium nitrogen(NH4+-N) and phosphorus(SRP) concentrations at zero net sorption or desorption(ENC0 and EPC0) were significantly positively correlated with both exchangeable and total nitrogen and phosphorus in the sediments. The total nitrogen and phosphorus in the sediments were also used to predict the risk of their release from the bottom sediments to the overlying water column. The sediment layers with ENC0 and EPC0 values greater than the NH4+-N and SRP in the overlying water column indicated the sediments act as a source of dissolved nitrogen and phosphorus to the overlying water column in the Nanliuzhuang and Caiputai demonstration areas. Accordingly, the sediment layers with both total nitrogen concentrations greater than 750 mg·kg-1 and total phosphorus concentrations greater than 500 mg·kg-1 should be identified as dredging layers.

Evolution of Superconducting Properties in Fe1.1Se0.8Te0.2 Films Before and After Structure Avalanche.

By preparing a series of high-quality Fe1.1Se0.8Te0.2 films on the CaF2 substrate via pulsed laser deposition, we reveal the evolution of the structure as well as the superconductivity with the film thickness. We have found that there exists a threshold thickness above which the critical temperature Tc reaches its optimal value of 23.18 K with large activation energy, promising for high-field technological applications. Most importantly, the thick films have been found in a metastable state due to the fragile balance between the increased strain energy and the large compressive stress. Once the balance is broken by an external perturbation, a unique structure avalanche happens with a large part of the film exfoliated from the substrate and curves out. The exfoliated part of the film remains a single phase, with its lattice parameter and Tc recovering the bulk values. Our results clearly demonstrate the close relation between the compressive stress of the film/substrate interface and the high critical temperature observed in FeSeTe films. Moreover, this also provides an efficient way to fabricate free-standing single-phase FeSeTe crystals in the phase-separation regime.

Association of interleukin-27 gene polymorphisms with susceptibility to HIV infection and disease progression.

Interleukin-27 (IL-27) gene polymorphisms are linked to infectious disease susceptibility and IL-27 plasma level is associated with HIV infection. Therefore, we aimed to investigate the association between IL-27 polymorphisms and susceptibility to HIV infection and disease progression. A total of 300 patients with HIV infection (48 long-term nonprogressors and 252 typical progressors) and 300 healthy controls were genotyped for three IL-27 polymorphisms, rs17855750, rs181206, rs40837 which were performed by using multiple single nucleotide primer extension technique. Significant association was found between IL-27 rs40837 polymorphisms with susceptibility to HIV infection (AG vs AA: adjusted OR = 1.60, 95% CI, 1.11-2.30, P = 0.012; AG+GG vs AA: adjusted OR = 1.44, 95% CI, 1.02-2.03, P = 0.038) and disease progression (LTNP: AG vs AA: adjusted OR = 2.33, 95% CI, 1.13-4.80, P = 0.021; TP: AG vs AA: adjusted OR = 1.50, 95% CI, 1.04-2.24, P = 0.030). Serum IL-27 levels were significantly lower in cases compared to controls (P < 0.001). There were lower serum IL-27 levels in TPs than in LTNPs (P < 0.001). We further found that LTNPs with rs40837 AG or GG genotype had lower serum IL-27 levels than with AA genotype (P < 0.05). The CD4+ T counts in cases were significantly lower than controls (P < 0.001). In contrast, individuals with rs40837 AG genotype had lower CD4+ T counts than with AA genotype in cases (P < 0.05). In addition, CD4+ T counts in TPs were significantly lower than LTNPs (P < 0.001). IL-27 rs40837 polymorphism might influence the susceptibility to HIV infection and disease progression probably by regulating the level of serum IL-27 or the quantity of CD4+ T.

[Asthenozoospermia is not correlated with 3' UTR polymorphisms of the GRP78 gene].

OBJECTIVE: To investigate the correlation of the single nucleotide polymorphisms (SNPs) rs12009, rs1140763 and rs16927997 in the 3'-untranslated region (3'UTR) of the glucose-regulated protein 78 (GRP78) gene with the risk of male asthenozoospermia (AZS). METHODS: We included 400 AZS patients in the AZS group and another 400 fertile men as normal controls. Using the SNaPshot technique, we genotyped the rs12009, rs1140763 and rs16927997 polymorphisms in the 3'UTR of the GRP78 gene in all the male subjects and analyzed the association of the three SNPs with AZS. RESULTS: The percentage of progressively motile sperm was significantly lower in the AZS group than in the normal controls (ï¼»20.09 ± 8.18ï¼½ % vs ï¼»57.16 ± 13.45ï¼½ %, P <0.01). Three genotypes of CC, CT and TT and 2 alleles of C and T were found in rs12009 and rs1140763 of the GRP78 gene, and another three genotypes of GG, GA and AA and two alleles of G and A were observed in rs16927997. There were no statistically significant differences between the control and AZS groups in the frequencies of the C and T alleles in rs12009 (44.3% vs 47.3% and 55.7% vs 52.7%, P >0.05) or rs1140763 (50.0% vs 52.0% and 50.0% vs 48.0%, P >0.05) or those of the G and A alleles in rs16927997 (6.0% vs 4.4% and 94.0% vs 95.6%, P >0.05), nor in the genotypes and allele frequencies of the 3 polymorphisms (P >0.05). Furthermore, three haplotypes of C-C-A, T-C-G and T-T-A were observed in the male subjects but showed no evident correlation between the AZS and normal control groups. CONCLUSIONS: The polymorphisms in the 3'UTR of the GRP78 gene are not correlated with the risk of male asthenozoospermia.