Long noncoding RNA LINC00473 drives the progression of pancreatic cancer via upregulating programmed death-ligand 1 by sponging microRNA-195-5p.

Pancreatic cancer (PC) is a great health burden to patients owing to its poor overall survival rate. Long noncoding RNAs (lncRNAs) interact with microRNAs (miRs) to participate in tumorigenesis. Therefore, we aim to uncover the role and related mechanism of LINC00473 in PC through the modulation of miR-195-5p and programmed death-ligand 1 (PD-L1). Increased LINC00473 and PD-L1 but declined miR-195-5p were determined in PC tissues and cell lines, and it was found that LINC00473 mainly situated in the cytoplasm. Also, miR-195-5p was verified to bind with both LINC00473 and PD-L1. Next, with the aim to examine the ability of LINC00473, miR-195-5p, and PD-L1 on the PC progression, the expression of LINC00473, miR-195-5p and PD-L1 were altered with mimics, inhibitors, overexpression vectors or siRNAs in PC cells and cocultured CD8+ T cells. It was demonstrated that LINC00473 sponged miR-195-5p to upregulate PD-L1 expression. More important, the obtained results revealed that LINC00473 silencing or miR-195-5p upregulation elevated the expression of Bcl-2 associated X protein (Bax), interferon (IFN)-γ, and interleukin (IL)-4 but reduced the expression of B-cell lymphoma-2 (Bcl-2), matrix metalloproteinase (MMP)-2, MMP-9, and IL-10, thus inducing the enhancement of the apoptosis as along with the inhibition of proliferation, invasion, and migration of the PC cells. LINC00473 silencing or miR-195-5p elevation activated the CD8+ T cells. Taken together, LINC00473 silencing blocked the PC progression through enhancing miR-195-5p-targeted downregulation of PD-L1. This finding offers new therapeutic options for treating this devastating disease.

LC-NeRF: Local Controllable Face Generation in Neural Radiance Field.

3D face generation has achieved high visual quality and 3D consistency thanks to the development of neural radiance fields (NeRF). However, these methods model the whole face as a neural radiance field, which limits the controllability of the local regions. In other words, previous methods struggle to independently control local regions, such as the mouth, nose, and hair. To improve local controllability in NeRF-based face generation, we propose LC-NeRF, which is composed of a Local Region Generators Module (LRGM) and a Spatial-Aware Fusion Module (SAFM), allowing for geometry and texture control of local facial regions. The LRGM models different facial regions as independent neural radiance fields and the SAFM is responsible for merging multiple independent neural radiance fields into a complete representation. Finally, LC-NeRF enables the modification of the latent code associated with each individual generator, thereby allowing precise control over the corresponding local region. Qualitative and quantitative evaluations show that our method provides better local controllability than state-of-the-art 3D-aware face generation methods. A perception study reveals that our method outperforms existing state-of-the-art methods in terms of image quality, face consistency, and editing effects. Furthermore, our method exhibits favorable performance in downstream tasks, including real image editing and text-driven facial image editing.

Recursive-NeRF: An Efficient and Dynamically Growing NeRF.

View synthesis methods using implicit continuous shape representations learned from a set of images, such as the Neural Radiance Field (NeRF) method, have gained increasing attention due to their high quality imagery and scalability to high resolution. However, the heavy computation required by its volumetric approach prevents NeRF from being useful in practice; minutes are taken to render a single image of a few megapixels. Now, an image of a scene can be rendered in a level-of-detail manner, so we posit that a complicated region of the scene should be represented by a large neural network while a small neural network is capable of encoding a simple region, enabling a balance between efficiency and quality. Recursive-NeRF is our embodiment of this idea, providing an efficient and adaptive rendering and training approach for NeRF. The core of Recursive-NeRF learns uncertainties for query coordinates, representing the quality of the predicted color and volumetric intensity at each level. Only query coordinates with high uncertainties are forwarded to the next level to a bigger neural network with a more powerful representational capability. The final rendered image is a composition of results from neural networks of all levels. Our evaluation on public datasets and a large-scale scene dataset we collected shows that Recursive-NeRF is more efficient than NeRF while providing state-of-the-art quality. The code will be available at https://github.com/Gword/Recursive-NeRF.

Long non-coding RNA LINC01207 silencing suppresses AGR2 expression to facilitate autophagy and apoptosis of pancreatic cancer cells by sponging miR-143-5p.

Pancreatic cancer is a serious malignancy accompanied by a well-documented poor prognosis. Accumulating studies have indicated the crucial roles played by long non-coding RNAs (lncRNAs) in proliferation, apoptosis and invasion of cancer cells. The aim of the current study was to investigate the role of lncRNA LINC01207 in autophagy and apoptosis of pancreatic cancer cells and its regulatory mechanism interacting with miR-143-5p. Initially, expression profiles of lncRNAs and genes associated with pancreatic cancer were identified. The expression patterns of LINC01207, miR-143-5p and AGR2 in both pancreatic cancer and adjacent tissues were then determined. The binding relationship of LINC01207 to miR-143-5p and targeting relationship of miR-143-5p to AGR2 were subsequently verified. Silencing of LINC01207, or up-regulation or down-regulation of miR-143-5p was introduced into the pancreatic cancer cells, so as to analyze their effects on the cell growth, apoptosis and autophagy. Besides, these regulatory effects were further explored with the determination of the autophagy- and apoptosis-related gene or proteins. LINC01207 and AGR2 were highly expressed while miR-143-5p was poorly expressed in pancreatic cancer. Functionally, LINC01207 can bind to miR-143-5p, and AGR2 was a target gene of miR-143-5p. Importantly, silencing of LINC01207 down-regulated the expression of AGR2 by up-regulating miR-143-5p. Moreover, silencing of LINC01207 and up-regulation of miR-143-5p promoted cell apoptosis and autophagy, corresponding to increased expression of autophagy- and apoptosis-related proteins, in addition to inhibited cell growth. Taken together, silencing of LINC01207 prevents the progression of pancreatic cancer by impairing miR-143-5p-targeted AGR2 expression, providing a potential target for pancreatic cancer treatment.

Expression and effect of TLR4 in rats with diabetic nephropathy.

OBJECTIVE: To observe the expression of TLR4 in kidney tissue of rats with diabetic nephropathy and discuss the role of TLR4 in the occurrence and development of the diabetic nephropathy. METHODS: A total of 60 clean male SD rats were selected and randomly divided into the modeling group and control group after 1 week of breeding, including 30 rats in each group. Biochemical indices as well as the protein expression of TLR4 were observed and compared between two groups at 2 w, 4 w, 6 w, 8 w and 12 w after the modeling, and the correlation between TLR4 and each biochemical indexes was analyzed. RESULTS: Rats in the modeling group had higher levels of blood glucose, 24-hour urine protein and blood urea nitrogen after the modeling, and showed the increase in the serum creatinine, kidney/body weight ratio, CRP and serum TNF-α at 4w after the modeling, with the significant difference compared to results of the control group (P<0.05). The cross-section area and mean volume of glomerulus in the modeling group at 4 w, 6 w, 8 w and 12 w were significantly higher than those in the control group, with the statistically significant difference (P<0.05). The expression of TLR4 at each time point in the control group was relatively low. Rats in the modeling group had the high expression of TLR4 in kidney's glomerular basement membrane, proximal convoluted tubule and renal interstitial area since 2 w, with the significant difference compared to the control group (P<0.05). The expression in rats of the modeling group was higher than the one of the control group since the 2nd week. As the time flied, its expression increased, with the statistically significant difference between two groups (P<0.05). There was certain correlation between the protein expression of TLR4 and the increased serum titer of 24-hour urine protein excretion, serum creatinine, CRP and TNF-α. CONCLUSIONS: TLR4 may activate the immuno-inflammatory reactions to play a role in the occurrence and development of the diabetic nephropathy.

Epidemic characteristics of imported falciparum malaria in Huai'an City / 中国血吸虫病防治杂志

Objective To understand the situation and epidemic characteristics of imported falciparum malaria in Huai'an City from 2010 to 2016,so as to provide the evidence for formulating the prevention and control strategies of imported falci-parum malaria in the city. Methods The epidemic data of imported falciparum malaria in Huai'an City from 2010 to 2016 were analyzed by using the descriptive epidemiological method. Results A total of 308 malaria cases were reported in Huai'an City from 2010 to 2016 with the average annual incidence of 0.88/105. A total of 240 imported falciparum malaria cases were report-ed,of which 18 cases(7.50%)developed into severe illness,and 2 severe patients died. The cases were reported in every coun-ty(district),and the incidence rates of Qingpu District and Huai'an District were higher than the city average level. The cases occurred every month,so there was no significant seasonal variation in the reporting time of the cases. Most of the patients were young men and aged 30-49 years. The occupational distribution revealed that the patients were mainly farmers,workers and mi-grant workers. The main source of infection was from African countries. The median interval from symptom appearing to definite diagnosis was 1 day,and the longest interval was 236 days. Twenty-nine cases were diagnosed within 24 hours,accounting for 12.08%. Conclusions The epidemic situation of imported falciparum malaria in Huai'an City is grim. In order to consolidate the achievements of malaria eradication,it is necessary to further improve the multi-sectoral cooperation mechanism,strengthen the management of floating population and take effective measures to reduce the risk of imported falciparum malaria.