Objective To understand the status of body image disturbance and its influencing factors in patients with ankylosing spondylitis (AS), so as to provide a scientific basis for the clinical management of AS. Methods A total of 353 AS patients admitted from January 2022 to December 2024 were selected as research subjects. Chinese version of Body Image Disturbance Questionnaire (BIDQ) was used to investigate the body image disturbance in AS patients. Single factor analysis was performed by t test and analysis of variance, and multiple factors were analyzed by multivariate linear regression. Results The total score of BIDQ in 342 AS patients was (25.01±4.22). Multivariate linear regression analysis results showed that self-paid medical expense, nighttime VAS score and negative emotion PANAS score could positively predict body image disturbance in AS patients (standardized regression coefficient=0.413, 0.413, 0.460, P<0.05), and PSSS score, positive emotion PANAS score and exercise management CDSSM score could negatively predict body image disturbance (standardized regression coefficient=-0.245, -0.134, -0.247, P<0.05). Conclusion The body image disturbance in AS patients is worthy of clinical attention. Nighttime pain, negative emotion and self-paid medical treatment can increase the risk of body image disturbance. Positive emotion, social support and high self-management level of exercise behavior can reduce the formation of body image disturbance, which can provide new ideas for clinical management of AS patients.

BackgroundArrhythmia and obsessive-compulsive disorder （OCD） frequently co-occur in clinical and epidemiological settings， yet their shared genetic basis and potential heart-brain axis mechanisms remain unclear. ObjectiveTo systematically evaluate the genetic correlation between arrhythmia and OCD， and to elucidate their underlying molecular genetic mechanisms， so as to provide molecular evidence for the "heart-brain axis" to support risk assessment and integrated clinical strategies for these comorbidities. MethodsThe aggregated data from the genome-wide association study （GWAS） of arrhythmia in the UK Biobank （7 207 cases and 477 391 controls） and the GWAS data of OCD released by the Psychiatric Genomics Consortium （2 688 cases and 7 037 controls） were integrated， all of which were limited to individuals of European ancestry. The genome-wide genetic correlations were estimated using the linkage disequilibrium score regression （LDSC） and the high-definition likelihood （HDL）. Local genetic correlation analysis was conducted using the local analysis of variance annotation （LAVA）. Multi-trait analysis of GWAS （MTAG） was employed to identify pleiotropic loci. Shared risk genes were identified by combining summary-data based Mendelian randomization （SMR） and transcriptome-wide association study （TWAS）. Functional enrichment analysis was performed based on the functional mapping and annotation （FUMA） platform. ResultsBoth LDSC （r_g=0.248， 95% CI： 0.159–0.336， P=4.82×10^-3） and HDL （r_g=0.294， 95% CI： 0.237–0.351， P=5.87×10^-4） revealed significant positive genetic correlation between arrhythmia and OCD. LAVA identified 23 significantly local correlated regions in the genome （P<2.0×10^-5）. MTAG discovered 11 genome-wide significant pleiotropic SNPs， among which rs12754189 （intron of KCNN3） had potential functional harmfulness （CADD>12.37）. SMR and TWAS jointly identified 20 shared genes， enriched in neural-cardiovascular tissues such as the cerebral cortex， amygdala， and left ventricle， and involved in DNA damage response， RNA metabolism， transcriptional regulation， and FAS signaling pathway （FDR<0.05）. ConclusionArrhythmia and OCD share a common genetic basis. The co-morbidity mechanism may involve the common vulnerability of neurons and cardiac muscle cells in terms of gene expression regulation and stress response， supporting the role of the brain-heart axis in the pathophysiology of both conditions.

Objective To discuss the mechanism of the streaking artifact of Star-volumetric interpolated body examination(Star-VIBE)sequence and the influence of phase coding on it.Methods Twenty-six volunteers underwent many times Star-VIBE sequences scanning with different phase coding(320,640,960,1 280,1 600).The severity of streaking artifact of images in different phase cod-ing groups was evaluated qualitatively.The signal-to-noise ratio(SNR)of muscle,thyroid and contrast-enhanced artery,contrast-to-noise ratio(CNR)between soft tissues,and CNR between muscle and contrast-enhanced artery of the images in different phase coding groups were evaluated quantitatively.Results In qualitative evaluation,with the number of phase coding increased,the streaking artifact decreased(H=83.022,P＜0.005).In quantitative evaluation,SNRmuscle,SNRthyroid,SNRcontrast-enhanced artery and CNRcontrast-enhanced gradually increased with the increase of phase coding number(SNRmuscle:F=6.913,P＜0.005;SNRthyroid:F=3.930,P=0.005;SNRcontrast-enhanced artery:F=6.980,P＜0.005;CNRcontrast-enhanced:F=6.482,P＜0.005),while CNRsoft tissue showed no statistical difference(F=1.114,P=0.339).Conclusion There is streaking artifact on the image of the Star-VIBE sequence,which can be reduced by increas-ing the number of phase coding appropriately.The most suitable phase coding is 960.

Objective:To identify the relevant factors for the first-course remission of acute myeloid leukemia (AML) and to develop a predictive model as well as assess its predictive capability.Methods:Clinical data of 749 patients newly diagnosed with AML admitted to the Department of Hematology, the First Affiliated Hospital, Zhejiang University, School of Medicine from January 1, 2019, to April 30, 2023, were collected and randomly divided into training and validation sets. Multivariate logistic regression analysis was conducted to determine variables associated with complete remission in the first course of induction therapy, and a predictive model was established based on these variables. The receiver operating characteristic (ROC) curve of the predictive model was plotted, and the area under the curve (AUC) was calculated.Results:The indicators predicting the first remission course included peripheral blood white blood cell count during onset, CBF::MYH11 fusion gene, CEBPA bZIP region mutation, myelodysplastic syndrome-related gene mutation, and induction chemotherapy regimen selection as independent factors for the first remission course. The model’s area under the training and validation curves was 0.738 (95% CI: 0.696-0.780) and 0.726 (95% CI: 0.650-0.801), respectively. The Hosmer-Lemeshow test results yielded P-values of 0.993 and 0.335, respectively. Conclusion:In this study, the developed model demonstrates a strong predictive capability for the efficacy of the first course of patients with AML, providing valuable guidance to clinicians in assessing patient prognosis and selecting appropriate treatment strategies.

In recent years, the roles of mitochondrial RNA and its associated human diseases have been reported to increase significantly. Treatments based on mtRNA metabolic processes and nuclear gene mutations are thus discussed. The mitochondrial oxidative phosphorylation process is affected by mtRNA metabolism, including mtRNA production, maturation, stabilization, and degradation, which leads to a variety of inherited human mitochondrial diseases. Moreover, mitochondrial diseases are caused by mitochondrial messenger RNA, mitochondrial transfer RNA, and mitochondrial ribosomal RNA gene mutations. This review presents the molecular mechanisms of human mtRNA metabolism and pathological mutations in mtRNA metabolism-related nuclear-encoded/nonencoded genes and mitochondrial DNA mutations to highlight the importance of mitochondrial RNA-related diseases and treatments.
Humans ; Mitochondrial Diseases/therapy* ; RNA, Mitochondrial ; RNA/genetics* ; Mitochondria/genetics* ; Mutation/genetics* ; RNA, Transfer/genetics* ; DNA, Mitochondrial/genetics*

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 effectiveness of the I-PASS ABCDE structured handoff model in patients with respiratory failure in the intensive care unit (ICU) .Methods:A total of 35 nurses working in the ICU of the Affiliated Hospital of Jining Medical University were selected by convenience sampling from January 2020 to September 2021. From January to October 2020, the traditional handoff model was used (control group), while from November 2020 to September 2021, the I-PASS ABCDE structured handoff model was implemented (intervention group). The defect rate of clinical handoff, nurses' understanding of patients' conditions, handoff effectiveness, time spent on handoff, and nurse satisfaction with the handoff model were compared between the two groups.Results:The defect rate of clinical handoff in the intervention group was significantly lower than that in the control group. Scores for nurses' understanding of patients' conditions and handoff effectiveness were significantly higher in the intervention group than in the control group ( P<0.05), indicating statistical significance. Although handoff duration was longer in the intervention group than in the control group, the difference was not statistically significant ( P>0.05). Nurse satisfaction with the handoff model was significantly higher in the intervention group than in the control group ( P<0.05) . Conclusions:The application of the I-PASS ABCDE structured handoff model in ICU patients with respiratory failure can reduce handoff defects, improve handoff quality, and enhance nurses' satisfaction.

Objective To discuss the mechanism of the streaking artifact of Star-volumetric interpolated body examination(Star-VIBE)sequence and the influence of phase coding on it.Methods Twenty-six volunteers underwent many times Star-VIBE sequences scanning with different phase coding(320,640,960,1 280,1 600).The severity of streaking artifact of images in different phase cod-ing groups was evaluated qualitatively.The signal-to-noise ratio(SNR)of muscle,thyroid and contrast-enhanced artery,contrast-to-noise ratio(CNR)between soft tissues,and CNR between muscle and contrast-enhanced artery of the images in different phase coding groups were evaluated quantitatively.Results In qualitative evaluation,with the number of phase coding increased,the streaking artifact decreased(H=83.022,P＜0.005).In quantitative evaluation,SNRmuscle,SNRthyroid,SNRcontrast-enhanced artery and CNRcontrast-enhanced gradually increased with the increase of phase coding number(SNRmuscle:F=6.913,P＜0.005;SNRthyroid:F=3.930,P=0.005;SNRcontrast-enhanced artery:F=6.980,P＜0.005;CNRcontrast-enhanced:F=6.482,P＜0.005),while CNRsoft tissue showed no statistical difference(F=1.114,P=0.339).Conclusion There is streaking artifact on the image of the Star-VIBE sequence,which can be reduced by increas-ing the number of phase coding appropriately.The most suitable phase coding is 960.

Objective:To explore the effectiveness of the I-PASS ABCDE structured handoff model in patients with respiratory failure in the intensive care unit (ICU) .Methods:A total of 35 nurses working in the ICU of the Affiliated Hospital of Jining Medical University were selected by convenience sampling from January 2020 to September 2021. From January to October 2020, the traditional handoff model was used (control group), while from November 2020 to September 2021, the I-PASS ABCDE structured handoff model was implemented (intervention group). The defect rate of clinical handoff, nurses' understanding of patients' conditions, handoff effectiveness, time spent on handoff, and nurse satisfaction with the handoff model were compared between the two groups.Results:The defect rate of clinical handoff in the intervention group was significantly lower than that in the control group. Scores for nurses' understanding of patients' conditions and handoff effectiveness were significantly higher in the intervention group than in the control group ( P<0.05), indicating statistical significance. Although handoff duration was longer in the intervention group than in the control group, the difference was not statistically significant ( P>0.05). Nurse satisfaction with the handoff model was significantly higher in the intervention group than in the control group ( P<0.05) . Conclusions:The application of the I-PASS ABCDE structured handoff model in ICU patients with respiratory failure can reduce handoff defects, improve handoff quality, and enhance nurses' satisfaction.

Objective:To identify the relevant factors for the first-course remission of acute myeloid leukemia (AML) and to develop a predictive model as well as assess its predictive capability.Methods:Clinical data of 749 patients newly diagnosed with AML admitted to the Department of Hematology, the First Affiliated Hospital, Zhejiang University, School of Medicine from January 1, 2019, to April 30, 2023, were collected and randomly divided into training and validation sets. Multivariate logistic regression analysis was conducted to determine variables associated with complete remission in the first course of induction therapy, and a predictive model was established based on these variables. The receiver operating characteristic (ROC) curve of the predictive model was plotted, and the area under the curve (AUC) was calculated.Results:The indicators predicting the first remission course included peripheral blood white blood cell count during onset, CBF::MYH11 fusion gene, CEBPA bZIP region mutation, myelodysplastic syndrome-related gene mutation, and induction chemotherapy regimen selection as independent factors for the first remission course. The model’s area under the training and validation curves was 0.738 (95% CI: 0.696-0.780) and 0.726 (95% CI: 0.650-0.801), respectively. The Hosmer-Lemeshow test results yielded P-values of 0.993 and 0.335, respectively. Conclusion:In this study, the developed model demonstrates a strong predictive capability for the efficacy of the first course of patients with AML, providing valuable guidance to clinicians in assessing patient prognosis and selecting appropriate treatment strategies.