1.Mechanism of electroacupuncture treating detrusor-bladder neck dyssynergia after suprasacral spinal cord injury by proteomics
Liya TANG ; Qirui QU ; Jincan LIU ; Ming XU ; Lu ZHOU ; Qiong LIU ; Kun AI
Digital Chinese Medicine 2025;8(2):267-278
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.
2.The Influence of Boundary Condition Changes of Inner and Outer Walls of Osteon on Fluid Flow Characteristics:A Finite Element Study
Weilun YU ; Xiuying LIU ; Qiong WANG ; Yuan YAO ; Yubo GUO ; Ning QU ; Xiaogang WU ; Haoyu FENG ; Zhiqiang LI
Journal of Medical Biomechanics 2025;40(3):656-662
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.
3.Preclinical Research Progress of Endoplasmic Reticulum Stress Inhibitors in Respiratory Diseases
Huiyun LIAO ; Yao FANG ; Lei QU ; Haichao LIU ; Congzheng MAO ; Qiong TANG ; Zhenhong HU
Herald of Medicine 2025;44(9):1472-1476
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.
4.CT Skull Image Reconstruction Using Deep Learning Method Based on Magnetic Resonance Dixon Images:A Comparative Study
Hongfei ZHAO ; Haipeng DONG ; Qiong HUANG ; Yuan QU ; Keming LIU ; Xiaomeng WU ; Yurong SHANG ; Xiping CHEN
Chinese Journal of Medical Imaging 2025;33(4):428-432,438
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.
5.Preclinical Research Progress of Endoplasmic Reticulum Stress Inhibitors in Respiratory Diseases
Huiyun LIAO ; Yao FANG ; Lei QU ; Haichao LIU ; Congzheng MAO ; Qiong TANG ; Zhenhong HU
Herald of Medicine 2025;44(9):1472-1476
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.
6.The Influence of Boundary Condition Changes of Inner and Outer Walls of Osteon on Fluid Flow Characteristics:A Finite Element Study
Weilun YU ; Xiuying LIU ; Qiong WANG ; Yuan YAO ; Yubo GUO ; Ning QU ; Xiaogang WU ; Haoyu FENG ; Zhiqiang LI
Journal of Medical Biomechanics 2025;40(3):656-662
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.
7.CT Skull Image Reconstruction Using Deep Learning Method Based on Magnetic Resonance Dixon Images:A Comparative Study
Hongfei ZHAO ; Haipeng DONG ; Qiong HUANG ; Yuan QU ; Keming LIU ; Xiaomeng WU ; Yurong SHANG ; Xiping CHEN
Chinese Journal of Medical Imaging 2025;33(4):428-432,438
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.
8.Identification and phylogenetic analysis of one clinical isolate of Ochrobactrum teleogrylli from human blood
Jianlong LIU ; Dexing HAN ; Shunguang LI ; Ya LIU ; Chunrong SONG ; Xiaowei CHEN ; Min FU ; Qiong HU ; Pinghua QU
Chinese Journal of Microbiology and Immunology 2024;44(8):680-688
Objective:To analyze the biological characteristics, phylogeny and the taxonomic status of strain 7712 (=CGMCC 1.17031=NBRC 113783=KCTC 15766) isolated from a clinical blood sample.Methods:Strain 7712 was identified by the cultural properties, cellular and colonial morphology, physiological and biochemical reactions, matrix-assisted laser desorption ionization time-of-flight mass spectrometry system, and genome correlation index analysis. The genomic phylogenetic tree was construct to analyze the taxonomic position. The virulence factors and resistance genes of strain 7712 and related strains were then compared by the online virulence factor database and online comprehensive antibiotic research database respectively.Results:Strain 7712 was urease negative, gram-negative nonfermenters, which was identified as Ochrobactrum anthropi by VITEK GN card. The 16S rRNA gene analysis showed that the strain was closely related to the members of genera Ochrobactrum and Brucella. The phylogenetic tree showed that strain 7712 was clustered together with Ochrobactrum teleogrylli LCB8 T and Ochrobactrum haematophilum CCUG 38531 T, along with genus Brucella and other Ochrobactrum species. The genome relatedness indexes analysis showed that the average nucleotide identity between strain 7712 and Ochrobactrum teleogrylli LCB8 T was 98.16%, which was higher than the threshold for prokaryotic species. Genetic prediction showed that strain 7712 carried several virulence-related genes and resistance-related genes, of which the existence of OCH gene might be responsible to the resistance to cephalosporin. Conclusions:A case of human infection caused by Ochrobactrum teleogrylli is identified, which would help promote the understanding of biodiversity of genus Ochrobactrum.
9.Preparation of Pancreatic Polypeptide Nanobody and the Analysis of Binding Activity
Hong-Rui REN ; Qiong JIA ; Jia-Qin WANG ; Jing-Jing TIAN ; Rong-Jie LI ; Hua-Hua HAO ; Jian-Li LI ; Zhi-Can QU ; Rui-Wen FAN
Chinese Journal of Biochemistry and Molecular Biology 2024;40(9):1273-1281
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.
10.Quercetin alleviates podocyte injury by inhibiting inflammation and pyroptosis through SIRT1/STAT3/GSDME
Jie-Qiong WANG ; Ge LI ; Shao-Hua WANG ; Yu WAN ; Yun LIU ; Cong-Gai HUANG ; Qu-Lian GUO ; Fang-Fang ZHONG
Chinese Pharmacological Bulletin 2024;40(7):1279-1287
Aim To investigate the effect of quercetin(Que)on podocyte inflammatory injury and the under-lying mechanism.Methods MPC5 cells were divided into normal glucose group(NG),mannitol group(MA),high glucose group(HG)and high glucose+quercetin group(HG+Que).Cell proliferation and apoptosis were detected by CCK-8 and flow cytometry.The expression of SIRT1,STAT3,apoptosis-related proteins(Bax,Bcl-2,caspase-3)and pyroptosis pro-tein GSDME was detected by Western blot.The ex-pression levels of inflammatory factors(IL-6,TNF-α,IL-18,IL-1β)in cell supernatants were detected by ELISA.Then small interfering RNA technology was used to knockdown SIRT1 expression.To further eval-uate the biological significance of SIRT1 in response to high glucose and Que treatment,negative control group(HG+si-NC+Que)and SIRT1 interference group(HG+si-SIRT1+Que)were added in the presence of high glucose and Que.Results Compared with the high glucose group,40 μmol·L-1 Que could alleviate the apoptosis of MPC5 cells induced by high glucose,decrease the expression of apoptosis related protein Bax and caspase-3,as well as increase the expression of anti-apoptotic protein Bcl-2;ELISA results showed that Que could decrease the expression of TNF-α,IL-6,IL-1 β and IL-18 induced by high glucose.Mechanical-ly,Que could alleviate the inhibitory effect of high glu-cose on the expression of SIRT1,and further decrease the activation of STAT3 and N-GSDME,and inhibit pyroptosis.Compared with the si-NC group,si-SIRT1 group could reverse the protective effect of Que on the high glucose induced inflammatory damage of podo-cytes,the expression of apoptotic proteins Bax and caspase-3 increased,while the expression of anti-apop-totic protein Bcl-2 decreased.At the same time,the levels of inflammatory cytokines TNF-α,IL-6,IL-1 βand IL-18 in supernatants increased,and the expres-sion of STAT3 and N-GSDME increased.Conclusion Que could inhibit pyroptosis and relieve the inflam-matory damage of podocytes through SIRT1/STAT3/GSDME pathway.

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