Endoplasmic reticulum stress(ERS)is associated with the pathophysiology of various lung diseases.Multiple experiments have confirmed that inhibiting ERS can alleviate inflammatory responses,improve lung function,and possess certain anti-infective effects.ERS inhibitors can positively impact the treatment of respiratory system diseases by targeting the unfolded protein response(UPR)in the ERS pathway and regulating the balance of calcium ions within the endoplasmic reticulum.Most current research on ERS inhibitors is still in the preclinical stage.This article thoroughly reviews the relevant reviews and various experimental research results on ERS in respiratory diseases,systematically examining the potential roles of the main branches of UPR,including inositol requiring enzyme 1 alpha(IRE 1α),protein kinase-like endoplasmic reticulum kinase(PERK),and activated transcription factor 6(ATF6),as well as other ERS inhibitors in respiratory diseases.The aim is to promote clinical trial exploration of ERS inhibitors,with the hope of providing effective drug selection strategies for the treatment and symptom relief of respiratory diseases.

Purpose Based on a variety of combinations of cranial MR Dixon images,the deep learning method is used to generate CT images,and the reconstruction efficiency is evaluated by comparing with the corresponding CT images.Materials and Methods A total of 77 cranial CT and MR images were collected retrospectively in Ruijin Hospital,Shanghai Jiaotong University School of Medicine from June to December 2021.The U-Net neural network was used for network training,with 62 cases in the training set and 15 cases in the test set.CT image reconstruction was performed using four kinds of Dixon images and a total of seven models among the various combinations.Mean absolute error,mean squared error,Pearson correlation coefficient and skull area Dice similarity coefficient were used to evaluate the image reconstruction efficiency.Results The generated CT images of the various Dixon image combination models showed strong correlation with the corresponding CT images(R>0.75,P<0.05),and the CT images reconstructed by the four-channel model had the closest value to the actual CT images[mean absolute error=147.516±30.802,mean squared error=(8.648±3.403)×104],the highest correlation coefficient(R=0.796±0.055),and the highest similarity coefficient in the cranial region(Dice similarity coefficient=0.800±0.036).Conclusion Deep learning training through Dixon images can be used to generate CT images,and the combination of four kinds of Dixon contrast images can improve the CT image reconstruction efficiency.

Endoplasmic reticulum stress(ERS)is associated with the pathophysiology of various lung diseases.Multiple experiments have confirmed that inhibiting ERS can alleviate inflammatory responses,improve lung function,and possess certain anti-infective effects.ERS inhibitors can positively impact the treatment of respiratory system diseases by targeting the unfolded protein response(UPR)in the ERS pathway and regulating the balance of calcium ions within the endoplasmic reticulum.Most current research on ERS inhibitors is still in the preclinical stage.This article thoroughly reviews the relevant reviews and various experimental research results on ERS in respiratory diseases,systematically examining the potential roles of the main branches of UPR,including inositol requiring enzyme 1 alpha(IRE 1α),protein kinase-like endoplasmic reticulum kinase(PERK),and activated transcription factor 6(ATF6),as well as other ERS inhibitors in respiratory diseases.The aim is to promote clinical trial exploration of ERS inhibitors,with the hope of providing effective drug selection strategies for the treatment and symptom relief of respiratory diseases.

Objectives: To elucidate the potential mechanisms of electroacupuncture (EA) in restoring detrusor-bladder neck dyssynergia (DBND) following suprasacral spinal cord injury (SSCI). Methods: A total of 52 specific pathogen-free (SPF) grade famale Sprague-Dawley (SD) rats (10 – 12 weeks, 250 – 280 g) were randomly assigned to either a sham group (n = 12) or a spinal cord injury model group (n = 40). In the model group, DBND was induced through Hassan Shaker spinal cord transection at T10 level, with 24 rats meeting inclusion criteria and subsequently randomized into DBND group (n = 12) and EA intervention group (DBND + EA group, n = 12). After spinal shock recovery (day 19 after modeling), DBND + EA group received EA treatment at Ciliao (BL32), Zhongji (RN3), and Sanyinjiao (SP6) acupoints for 20 min per session at 10/50 Hz frequencies, once daily for 10 d. Sham and DBND groups received anesthesia only without EA intervention. On day 29 post-modeling, all rats underwent urodynamic assessments, followed by hematoxylin and eosin (HE) staining, tandem mass tag (TMT) proteomics, and Western blot (WB) analysis of detrusor and bladder neck tissues. Differentially expressed proteins (DEPs) were defined as proteins with P < 0.05, unique peptides ≥ 2, and fold change > 1.2 or < 0.83. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis was performed using KOBAS 3.0 (P < 0.01), and protein-protein interaction (PPI) networks were analyzed using Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) 11.5 and Cytoscape 3.9.1. Results: Compared with sham group, DBND group showed significantly elevated leak point pressure (LPP) and maximum cystometric capacity (MCC) (both P < 0.01). EA treatment significantly reduced both LPP and MCC compared with DBND group (P < 0.01 and P < 0.05, respectively). HE staining revealed that EA reduced detrusor fibrosis and improved bladder neck inflammation. TMT proteomics identified 30 overlapping DEPs in detrusor and 59 overlapping DEPs in bladder neck when comparing DBND + EA/DBND groups with sham group. In detrusor tissue, KEGG analysis revealed 10 significantly enriched pathways (P < 0.01), including mitogen-activated protein kinase (MAPK) signaling pathway. PPI analysis showed 22 of 30 DEPs were interconnected. In bladder neck tissue, 14 pathways were significantly enriched (P < 0.01), including relaxin signaling pathway, with 51 of 59 DEPs showing interconnections. Both TMT and WB validations demonstrated that compared with sham controls, DBND rats exhibited upregulated collagen type IV alpha 2 chain (Col4a2) and downregulated guanine nucleotide-binding protein G(z) subunit alpha (Gnaz) in detrusor tissue, while EA treatment normalized both proteins (both P < 0.05). In bladder neck tissue, DBND rats showed decreased expression of smoothelin (Smtn) and calcium-activated potassium channel subunit beta-1 (Kcnmb1) compared with sham controls (both P < 0.01), which were both upregulated following EA treatment (P < 0.01 and P < 0.05, respectively). Conclusion EA restores detrusor-bladder neck coordination in DBND through dual-target mechanisms. In detrusor tissue, EA modulates contraction via extracellular matrix remodeling, cyclic adenosine monophosphate (cAMP) signaling pathway regulation, and enhanced adenosine triphosphate (ATP) biosynthesis mediated by neurotransmitters. In bladder neck tissue, EA promotes relaxation by maintaining contractile phenotypes, reducing fibrosis, suppressing smooth muscle excitation, and regulating presynaptic neurotransmitter release. These findings provide mechanistic insights into EA's therapeutic role in managing DBND.

Objective To explore the characteristics of fluid flow within loaded osteons under different boundary conditions.Methods The COMSOL Multiphysics software was used to establish a three-dimensional(3D)finite element model of osteons with different boundary conditions,and the variation rules of pore pressure and flow velocity of osteons under different inner wall pulsating blood pressures and outer wall elastic constraint conditions were analyzed.Results As the pulsatile blood pressure inside the osteon increased from 0 mmHg(1 mmHg=0.133 kPa)to 300 mmHg,the peak pore pressure within the osteon correspondingly increased from 26 kPa to 68 kPa.As the elastic constraint on the outer wall of osteons changed from being completely elastic to completely constrained,the peak pore pressure within osteons increased from 15 kPa to 26 kPa,and the peak flow velocity increased from 0.04 um/s to 0.07 um/s.Conclusions This study reveals the influence laws of changes in boundary conditions such as the pulsatile blood pressure on the inner wall and the elastic constraint on the outer wall of osteons on fluid flow characteristics within loaded osteons.These findings are conducive to a deeper understanding of the mechanical response mechanisms of bone tissues in both physiological and pathological states,and provide an important theoretical basrs for further researches on bone mechanotransduction.

Objective To explore the characteristics of fluid flow within loaded osteons under different boundary conditions.Methods The COMSOL Multiphysics software was used to establish a three-dimensional(3D)finite element model of osteons with different boundary conditions,and the variation rules of pore pressure and flow velocity of osteons under different inner wall pulsating blood pressures and outer wall elastic constraint conditions were analyzed.Results As the pulsatile blood pressure inside the osteon increased from 0 mmHg(1 mmHg=0.133 kPa)to 300 mmHg,the peak pore pressure within the osteon correspondingly increased from 26 kPa to 68 kPa.As the elastic constraint on the outer wall of osteons changed from being completely elastic to completely constrained,the peak pore pressure within osteons increased from 15 kPa to 26 kPa,and the peak flow velocity increased from 0.04 um/s to 0.07 um/s.Conclusions This study reveals the influence laws of changes in boundary conditions such as the pulsatile blood pressure on the inner wall and the elastic constraint on the outer wall of osteons on fluid flow characteristics within loaded osteons.These findings are conducive to a deeper understanding of the mechanical response mechanisms of bone tissues in both physiological and pathological states,and provide an important theoretical basrs for further researches on bone mechanotransduction.

Purpose Based on a variety of combinations of cranial MR Dixon images,the deep learning method is used to generate CT images,and the reconstruction efficiency is evaluated by comparing with the corresponding CT images.Materials and Methods A total of 77 cranial CT and MR images were collected retrospectively in Ruijin Hospital,Shanghai Jiaotong University School of Medicine from June to December 2021.The U-Net neural network was used for network training,with 62 cases in the training set and 15 cases in the test set.CT image reconstruction was performed using four kinds of Dixon images and a total of seven models among the various combinations.Mean absolute error,mean squared error,Pearson correlation coefficient and skull area Dice similarity coefficient were used to evaluate the image reconstruction efficiency.Results The generated CT images of the various Dixon image combination models showed strong correlation with the corresponding CT images(R>0.75,P<0.05),and the CT images reconstructed by the four-channel model had the closest value to the actual CT images[mean absolute error=147.516±30.802,mean squared error=(8.648±3.403)×104],the highest correlation coefficient(R=0.796±0.055),and the highest similarity coefficient in the cranial region(Dice similarity coefficient=0.800±0.036).Conclusion Deep learning training through Dixon images can be used to generate CT images,and the combination of four kinds of Dixon contrast images can improve the CT image reconstruction efficiency.

Objective:To observe any effect of exercise preconditioning on the levels of hypoxia-inducible factor-1α (HIF-1α) and vascular endothelial growth factor (VEGF) in the brain tissue of rats after induced cerebral ischemia and reperfusion, and how it might promote angiogenesis.Methods:Thirty-six male Sprague-Dawley rats were randomly divided into a sham-operation group, a model group and an exercise preconditioning group, each of 12. After adaptive running training for 3 days, the exercise preconditioning group ran daily for 30 minutes at 15m/min for 14 days, while the other two groups did not exercise. Middle cerebral artery occlusion and reperfusion were then induced in the model and exercise preconditioning groups using the modified Zea-Longa suture method. Rats in the sham-operation group were only cut open to expose the right carotid artery. Right after the modeling, and again 24 hours later neurological deficit was evaluated using the Zea-Longa score and modified neurological severity scoring (mNSS). Infarct sizes were measured using 2, 3, 5-triphenyl tetrazolium chloride staining. Any morphological changes were noted using hematoxylin and eosin (HE) staining, and the expression of CD31 protein, hypoxia-inducible factor-1α and vascular endothelial growth factor in the ischemic cerebral cortex were quantified immunohistochemically.Results:Right after the modelling, compared with the sham-operation group, the average Zea-Longa scores of the model and exercise groups had increased significantly, but were not significantly different from each other. Twenty-four hours later the average Zea-Longa score, mNSS score and relative cerebral infarction area of the model group had increased significantly compared with the sham-operation group, while the exercise preconditioning group′s averages had decreased significantly. The HE staining showed that compared with the sham-operation group, pathological changes such as loose tissue, reduced number of nerve cells, nucleolysis, and vacuolization of the cerebral cortex on the ischemic side were found in the model group. Compared with the model group, the pathological changes in the exercise preconditioning group were less serious. The levels of CD31 protein, HIF-1α and VEGF in the ischemic cerebral cortexes of the model group had by then increased significantly. But compared with the model group, those levels had increased more in the exercise preconditioning group.Conclusion:Exercise preconditioning can effectively promote angiogenesis after cerebral ischemia and reduce chronic injury. That may be related to the activation of the HIF-1α and/or VEGF signaling pathways.

Objective To explore the mediating role of eating disorders in the relationship between body image satisfaction and anxiety symptoms among college students,and further examine the moderating effect of mindfulness on this mediating pathway.Methods By using convenience sampling,we conducted baseline and follow-up surveys among freshmen and sophomores at two universities in Xizang Autonomous Region from September to December 2021.Measurements included the Generalized Anxiety Disorder Scale,the body image satisfaction subscale of the Multidimensional Body-Self Relations Questionnaire,the Eating Attitudes Test,and the Mindful Attention Awareness Scale.Data analyses performed using SPSS 23.0 included Pearson correlation analysis,mediation(model 4),and moderation(model 58)effect analysis.Results A total of 2 993 students participated in both the baseline and follow-up surveys,including 1 007 males(34.3％)and 1,666 Tibetan and other ethnic minorities(56.8％),with an average age of 19.8(SD=1.3)years.Body image satisfaction significantly predicted anxiety symptoms,and this relationship was partially mediated by disordered eating.The presence of mindfulness moderated the impact of body image satisfaction on disordered eating and the influence of disordered eating on anxiety symptoms,indicating varying strengths of these relationships at different levels of mindfulness.Conclusion This study demonstrates that body image satisfaction can significantly predict anxiety symptoms,with disordered eating playing a mediating role in this relationship.The moderating effect of mindfulness further reveals that students with high levels of mindfulness are less likely to experience eating disorders influenced by body image dissatisfaction.Interventions for college students'mental health should consider including management of body image and eating behaviors,as well as mindfulness training.

Pancreatic polypeptide(PP),a pancreatic hormone containing 36 amino acids,plays impor-tant roles in the diagnosis and evaluation of pancreatic function,injury and diseases.In this study,a phage nanobody library against PP was constructed to screen specific PP nanobodies,which would be used to evaluate whether they have binding activity with PP antigen.After PP antigen with high purity was prepared by prokaryotic expression system,it was used to immunize alpaca to construct the nanobody li-brary against PP with high storage capacity and high abundance,from which 8 strains of PP nanobodies were obtained by phage display.One of nanobody strain(PP-VHH)was selected to be expressed in a prokaryotic expression system,which was induced overnight by IPTG.After purification and identifica-tion,the antigen-antibody binding activity and PP level in serum were detected by indirect ELISA and Sandwich ELISA methods,respectively.The results showed that PP-VHH had binding activity with PP,which could be used to detect PP in chicken and human serum.The Sandwich ELISA methods with R2 of the fitting curve 0.9868 could be used to detect PP concentrations of 48-55 pg/mL in the serum of chick-ens,while the concentrations of PP in human serum varied significantly.In summary,PP-VHH screened from nanobody library against PP could detect PP in serum,which would supply the basis for evaluation of abnormal pancreatic function and diagnosis of relative disease.