Objective We propose a dual-domain cone beam computed tomography(CBCT)reconstruction framework DualCBR-Net based on improved differentiable domain transform for cone-angle artifact correction.Methods The proposed CBCT dual-domain reconstruction framework DualCBR-Net consists of 3 individual modules:projection preprocessing,differentiable domain transform,and image post-processing.The projection preprocessing module first extends the original projection data in the row direction to ensure full coverage of the scanned object by X-ray.The differentiable domain transform introduces the FDK reconstruction and forward projection operators to complete the forward and gradient backpropagation processes,where the geometric parameters correspond to the extended data dimension to provide crucial prior information in the forward pass of the network and ensure the accuracy in the gradient backpropagation,thus enabling precise learning of cone-beam region data.The image post-processing module further fine-tunes the domain-transformed image to remove residual artifacts and noises.Results The results of validation experiments conducted on Mayo's public chest dataset showed that the proposed DualCBR-Net framework was superior to other comparison methods in terms of artifact removal and structural detail preservation.Compared with the latest methods,the DualCBR-Net framework improved the PSNR and SSIM by 0.6479 and 0.0074,respectively.Conclusion The proposed DualCBR-Net framework for cone-angle artifact correction allows effective joint training of the CBCT dual-domain network and is especially effective for large cone-angle region.

Objective To propose a dual-domain CBCT reconstruction framework(DualSFR-Net)based on generative projection interpolation to reduce artifacts in sparse-view cone beam computed tomography(CBCT)reconstruction.Methods The proposed method DualSFR-Net consists of a generative projection interpolation module,a domain transformation module,and an image restoration module.The generative projection interpolation module includes a sparse projection interpolation network(SPINet)based on a generative adversarial network and a full-view projection restoration network(FPRNet).SPINet performs projection interpolation to synthesize full-view projection data from the sparse-view projection data,while FPRNet further restores the synthesized full-view projection data.The domain transformation module introduces the FDK reconstruction and forward projection operators to complete the forward and gradient backpropagation processes.The image restoration module includes an image restoration network FIRNet that fine-tunes the domain-transformed images to eliminate residual artifacts and noise.Results Validation experiments conducted on a dental CT dataset demonstrated that DualSFR-Net was capable to reconstruct high-quality CBCT images under sparse-view sampling protocols.Quantitatively,compared to the current best methods,the DualSFR-Net method improved the PSNR by 0.6615 and 0.7658 and increased the SSIM by 0.0053 and 0.0134 under 2-fold and 4-fold sparse protocols,respectively.Conclusion The proposed generative projection interpolation-based dual-domain CBCT sparse-view reconstruction method can effectively reduce stripe artifacts to improve image quality and enables efficient joint training for dual-domain imaging networks in sparse-view CBCT reconstruction.

Objective We propose a dual-domain cone beam computed tomography(CBCT)reconstruction framework DualCBR-Net based on improved differentiable domain transform for cone-angle artifact correction.Methods The proposed CBCT dual-domain reconstruction framework DualCBR-Net consists of 3 individual modules:projection preprocessing,differentiable domain transform,and image post-processing.The projection preprocessing module first extends the original projection data in the row direction to ensure full coverage of the scanned object by X-ray.The differentiable domain transform introduces the FDK reconstruction and forward projection operators to complete the forward and gradient backpropagation processes,where the geometric parameters correspond to the extended data dimension to provide crucial prior information in the forward pass of the network and ensure the accuracy in the gradient backpropagation,thus enabling precise learning of cone-beam region data.The image post-processing module further fine-tunes the domain-transformed image to remove residual artifacts and noises.Results The results of validation experiments conducted on Mayo's public chest dataset showed that the proposed DualCBR-Net framework was superior to other comparison methods in terms of artifact removal and structural detail preservation.Compared with the latest methods,the DualCBR-Net framework improved the PSNR and SSIM by 0.6479 and 0.0074,respectively.Conclusion The proposed DualCBR-Net framework for cone-angle artifact correction allows effective joint training of the CBCT dual-domain network and is especially effective for large cone-angle region.

Objective To propose a dual-domain CBCT reconstruction framework(DualSFR-Net)based on generative projection interpolation to reduce artifacts in sparse-view cone beam computed tomography(CBCT)reconstruction.Methods The proposed method DualSFR-Net consists of a generative projection interpolation module,a domain transformation module,and an image restoration module.The generative projection interpolation module includes a sparse projection interpolation network(SPINet)based on a generative adversarial network and a full-view projection restoration network(FPRNet).SPINet performs projection interpolation to synthesize full-view projection data from the sparse-view projection data,while FPRNet further restores the synthesized full-view projection data.The domain transformation module introduces the FDK reconstruction and forward projection operators to complete the forward and gradient backpropagation processes.The image restoration module includes an image restoration network FIRNet that fine-tunes the domain-transformed images to eliminate residual artifacts and noise.Results Validation experiments conducted on a dental CT dataset demonstrated that DualSFR-Net was capable to reconstruct high-quality CBCT images under sparse-view sampling protocols.Quantitatively,compared to the current best methods,the DualSFR-Net method improved the PSNR by 0.6615 and 0.7658 and increased the SSIM by 0.0053 and 0.0134 under 2-fold and 4-fold sparse protocols,respectively.Conclusion The proposed generative projection interpolation-based dual-domain CBCT sparse-view reconstruction method can effectively reduce stripe artifacts to improve image quality and enables efficient joint training for dual-domain imaging networks in sparse-view CBCT reconstruction.

Objective:To evaluate the effect of sleep deprivation on cognitive function in septic rats and its relationship with neuronal glycolysis isoenzyme phosphofructokinase-2/fructose-2,?6-diphosphatase 3 (PFKFB3).Methods:Fifty-six healthy male Sprague-Dawley (SD) rats were randomly divided into 4 groups ( n = 14): control group (Con group), sepsis group (LPS group), sepsis+sleep deprivation group (LPS+SD group), sepsis+sleep deprivation+glycolysis inhibitor 3-PO treatment group (LPS+SD+3-PO group). The sepsis model was established by intraperitoneal injection of lipopolysaccharide (LPS) 10 mg/kg. Rats in LPS+SD group were treated with sleep deprivation using a sleep deprivation instrument 24 hours after LPS injection. The LPS+SD+3-PO group was intraperitoneally injected with LPS for 24 hours, and then injected with 3-PO 50 mg/kg, followed by sleep deprivation. Novel object recognition experiments were performed 72 hours after LPS injection. Subsequently, blood and brain tissue samples were collected. The contents of lactate (Lac), reactive oxygen species (ROS) and serum tumor necrosis factor-α(TNF-α), neuron-specific enolase (NSE), pyruvate in brain tissue were detected by enzyme-linked immunosorbent assay (ELISA). Then, the lactate/pyruvate ratio was calculated. Na +-K +-ATPase activity in brain tissue was detected by colorimetry. Morphological changes in hippocampus were detected by hematoxylin-eosin (HE) staining. And the protein expression levels of PFKFB3, ZO-1 and cleaved caspase-3 were measured by Western blotting. Results:Compared with Con group, the novel object recognition index of LPS group was decreased, the levels of NSE, TNF-α, lactate/pyruvate ratio in serum and the levels of Lac, ROS and dry-wet weight ratio in brain tissue were significantly increased, Na +-K +-ATPase activity in brain tissue was decreased, the protein expressions of PFKFB3, caspase-3 were up-regulated, ZO-1 expression was down-regulated, and the neurons in hippocampus were slightly degenerated. Compared with LPS group, the novel object recognition index of LPS+SD group was further decreased [(39.4±5.3)% vs. (54.5±7.6)%)], serum NSE, TNF-α, lactate/pyruvate ratio and brain tissue Lac, ROS, dry-wet weight ratio were further increased [NSE (μg/L): 3.21±0.42 vs. 2.55±0.36, TNF-α (ng/L): 139.4±19.7 vs. 92.2±13.5, lactate/pyruvate ratio: 29.7±5.5 vs. 19.2±4.2, Lac (μmol/g): 19.51±2.33 vs. 11.34±1.52, ROS (kU/g): 117.4±18.7 vs. 78.2±11.8, dry-wet weight ratio: (81.3±9.2)% vs. (64.3±6.6)%], and Na +-K +-ATPase activity was further decreased (mmol·L -1·h -1: 1.88±0.34 vs. 2.91±0.39), the protein expressions of PFKFB3, caspase-3 were further up-regulated and ZO-1 expression was further down-regulated (PFKFB3/β-actin: 0.80±0.11 vs. 0.45±0.07, caspase-3/β-actin: 0.71±0.09 vs. 0.37±0.05, ZO-1/β-actin: 0.31±0.05 vs. 0.61±0.08). The differences were statistically significant (all P < 0.05). HE staining showed that the degeneration of neurons in hippocampus was significantly aggravated. Compared with LPS+SD group, the novel object recognition index of LPS+SD+3-PO group was increased [(50.8±5.9)% vs. (39.4±5.3)%], NSE, TNF-α, lactate/pyruvate ratio of serum and Lac, ROS, dry-wet weight ratio of brain tissue were significantly decreased [NSE (μg/L): 2.60±0.33 vs. 3.21±0.42, TNF-α (ng/L): 103.7±18.3 vs. 139.4±19.7, lactate/pyruvate ratio: 17.4±5.1 vs. 29.7±5.5, Lac (μmol/g): 13.68±2.02 vs. 19.51±2.33, ROS (kU/g): 86.9±14.5 vs. 117.4±18.7, dry-wet weight ratio: (67.7±6.9)% vs. (81.3±9.2)%], and Na +-K +-ATPase activity was increased (mmol·L -1·h -1: 2.82±0.44 vs. 1.88±0.34). The protein expressions of PFKFB3, caspase-3 were down-regulated and ZO-1 expression was up-regulated (PFKFB3/β-actin: 0.50±0.06 vs. 0.80±0.11, caspase-3/β-actin: 0.43±0.06 vs. 0.71±0.09, ZO-1/β-actin: 0.52±0.06 vs. 0.31±0.05). The differences were statistically significant (all P < 0.05). HE staining showed that the degeneration of neurons in hippocampus was significantly improved. Conclusions:Sleep deprivation could aggravate neuroinflammation, neuronal degeneration and apoptosis in septic rats, resulting in destruction of blood-brain barrier and cognitive impairment. 3-PO treatment significantly alleviate the injury and degeneration of hippocampal neurons in septic rats, inhibit neuroinflammation and apoptosis, and improve cognitive dysfunction, which may be related to the inhibition of glycolytic isoenzyme PFKFB3.

Rubus corchorifolius(Shanmei or mountain berry,2n=14)is widely distributed in China,and its fruits possess high nutritional and medicinal values.Here,we reported a high-quality chromosome-scale genome assembly of Shanmei,with contig size of 215.69 Mb and 26,696 genes.Genome comparison among Rosaceae species showed that Shanmei and Fupenzi(Rubus chingii Hu)were most closely related,followed by blackberry(Rubus occidentalis),and that environmental adaptation-related genes were expanded in the Shanmei genome.Further resequenc-ing of 101 samples of Shanmei collected from four regions in the provinces of Yunnan,Hunan,Jiangxi,and Sichuan in China revealed that among these samples,the Hunan population of Shanmei possessed the highest diversity and represented the more ancestral population.Moreover,the Yunnan population underwent strong selection based on the nucleotide diversity,linkage dise-quilibrium,and historical effective population size analyses.Furthermore,genes from candidate genomic regions that showed strong divergence were significantly enriched in the flavonoid biosyn-thesis and plant hormone signal transduction pathways,indicating the genetic basis of adaptation of Shanmei to the local environment.The high-quality assembled genome and the variome dataset of Shanmei provide valuable resources for breeding applications and for elucidating the genome evo-lution and ecological adaptation of Rubus species.

Various posttranslational modifications (PTMs) participate in nearly all aspects of biological processes by regulating protein functions, and aberrant states of PTMs are frequently implicated in human diseases. Therefore, an integral resource of PTM-disease associations (PDAs) would be a great help for both academic research and clinical use. In this work, we reported PTMD, a well-curated database containing PTMs that are associated with human diseases. We manually collected 1950 known PDAs in 749 proteins for 23 types of PTMs and 275 types of diseases from the literature. Database analyses show that phosphorylation has the largest number of disease associations, whereas neurologic diseases have the largest number of PTM associations. We classified all known PDAs into six classes according to the PTM status in diseases and demonstrated that the upregulation and presence of PTM events account for a predominant proportion of disease-associated PTM events. By reconstructing a disease-gene network, we observed that breast cancers have the largest number of associated PTMs and AKT1 has the largest number of PTMs connected to diseases. Finally, the PTMD database was developed with detailed annotations and can be a useful resource for further analyzing the relations between PTMs and human diseases. PTMD is freely accessible at http://ptmd.biocuckoo.org.
Databases, Protein ; Disease ; genetics ; Gene Regulatory Networks ; Humans ; Phosphorylation ; Protein Processing, Post-Translational ; Proteins ; metabolism ; Search Engine

Objective To observe the short-term,long-term clinical results and complications in refractory juvenile idiopathic arthritis (JIA) treating with TNF-α inhibitors,and to compare 2 evaluation systems.Methods A retrospective review of 52 cases of patients with refractory JIA in Shenzhen Children's Hospital was performed.With reference to International Leagne of Associations for Rheumatology(ILAR)2001 diagnostic criteria,the patients were divided into 4 groups:26 polyarticular JIA patients,14 systemic JIA patients,9 oligoarticular JIA patients and 3 other types of patients.The children with JIA were based on the conventional treatment such as Methotrexate,combination of TNF-α inhibitors treatment.The short-term and long-term clinical outcomes were evaluated and compared with American College of Rheumatology (ACR) and Juvenile Arthritis Disease Activity Score (JADAS).Complications in each group were recorded.Results (1) Short-term outcome assessment:ACR 50 were achieved in 69.2％ of the polyarticular JIA,66.7％ in oligoarticular and 35.7％ in systemic JIA patients on the third month;and by the time of the sixth month it reached to 73.0％ in polyarticular JIA,77.7％ in oligoarticular JIA and 14.3％ in systemic JIA patients on the sixth month.Significant improvement of JADAS after the treatment was observed in each type of JIA,and the differences were statistically significant(all P ＜ 0.05).(2) Long-term outcome assessment:except for the cases missing follow-ups and withdrawal cases,46 patients were able to complete 2 years assessments:according to ACR,effective rate was 84.0％ in polyarticular JIA (21/25 cases),50.0％ in oligoarticular JIA (4/8 cases) and 7.7％ in systemic (1/13 cases) JIA patients;JADAS was significantly decreased in polyarticular JIA patients (76.0％,19/25cases) (P ＜ 0.05),while significant improvement was not observed in oligoarticular JIA and systemic JIA patients(P ＞ 0.05).(3) Complications of upper respiratory tract infection (23.0％,12 cases) and local reaction in injection site (7.6％,4 cases) were noticed.Higher risks of tuberculosis infection and malignancy were not observed.Conclusions (1) TNF-α inhibitors treatment showed a better short-term and long-term outcome in polyarticular and oligoarticular JIA patients,and it may also improve short-term outcome in systemic JIA but with poorer long-term outcome.(2)Two evaluated systems (ACR and JADAS) were well relative,but ACR was capable to compare clinical course between different types of JIA.(3) TNF-α inhibitors treatment was relatively safe with unremarkable adverse reactions.

Objective To explore the application effect of four integrated nursing model in rehabilitation nursing of elderly patients with lung cancer .Methods Eighty-four elderly patients with lung cancer were chosen and were randomly divided into the control group and the intervention group , each with 42 cases.The control group received the routine holistic nursing mode , and the intervention group received the four integrated nursing model on the basis of the control group .The nursing effect was evaluated by the FACT , self-rating depression scale ( SDS ) and self -rating anxiety scale ( SAS ) in two groups .Results No differences were found in the scores of FACT , SDS, SAS between two group before the intervention (P>0.05). The scores of every scales of FACT were respectively (69.99 ±1.45), (69.87 ±2.54), (70.24 ±1.36), (69.25 ±2.02), (68.24 ±1.41) in the intervention group after the intervention , and were higher than those of the control group and those before the intervention (P<0.05).No differences were found in the scores of every scales of FACT in the control group before and after the intervention (P>0.05).The scores of SDS and SAS were respectively (33.893 ±4.257), (29.754 ±3.896) in the intervention group after the intervention , and were lower than (39.450 ±5.058), (34.639 ±5.785) in the control group, and the differences were statistically significant (t=-1.023,1.903, respectively;P<0.05).Conclusions The four integrated nursing model has a positive significance on the improvement of the overall quality of life in patients with lung cancer , and is worthy of the clinical promotion .

Objective To observe the epidemiology characterization of Borna disease virus (BDV) in animal brain in Ili, Xinjiang, and to find out the potential infection of the Borna disease virus to prevent its outbreak. Methods The BDV p24 gene of animal brain tissues in Ili including 200 horses, 75 donkeys and 100 shepherd dogs was detected by fluorescence quantitative nest reverse transcriptase polymer-ase chain reaction(FQ-nRT-PCR). GFP-p24,pMD-19 plasmid contamination was excluded from positive products. Clone sequencing was used to analyze the homology of gene and amino acid sequence. Results BDV p24 gent was found in 3 Ili horses, 4 Ili donkeys and 9 shepherd dogs, and the positive ratio is 1.5%, 5.3% and 9.0%, respectively. The GFP-p24,pMD-19 were not found in BDV p40 gene and plasmid stand-ard. The sequence of BDV p24 amplification production was totally the same as He/80 virus strain. Conclu-sion Natural infection of BDV may exist in the animals(horses, donkeys and dogs)in Ili, and the epidem-ic strain of BDV in this area was homological as He/80 virus strain.