Objective: To report the antibody identification, blood management during pregnancy and the monitoring process of fetal hemolytic disease of fetus and newborn (HDFN) in a pregnant woman with a history of blood transfusion and pregnancy who developed anti-Jr . Methods: Saline tube technique and anti-human globulin technique were used for maternal blood typing, unexpected antibody screening and identification, as well as for determining antibody titer and IgG subclasses. PCR-SSP was employed for genotyping of 18 blood group systems. Next-generation sequencing (NGS) was utilized for gene sequencing of 38 blood group systems. Sanger sequencing was applied to verify rare blood group mutations detected by NGS and to investigate the corresponding rare blood group genes in family members. Blood preparation was achieved through anemia management in prenatal clinics and autologous blood collection during pregnancy. The newborn underwent the three primary tests for HDFN and plasma IgG subclass testing. Results: The pregnant woman's blood type was B, RhD positive, with a positive unexpected antibody screen, and the antibody identification pattern was consistent with a high-frequency antigen antibody. Gene sequencing revealed a homozygous ABCG2 c.376C>T mutation in the woman, resulting in the Jr(a-) phenotype, and anti-Jr antibody was present in her plasma. No compatible Jr(a-) blood was found among family members. The maternal anti-Jr IgG titer remained stable at 256 during pregnancy, with no detectable IgG1 or IgG3 subclasses against the Jr antigen. A total of 800 mL of autologous blood was collected in two stages during pregnancy. The newborn was B, RhD positive, Jr(a+), with a positive unexpected antibody screen (anti-Jr ). IgG subclass typing detected no IgG1 or IgG3. The direct antiglobulin test was positive, while the acid elution test was negative. Conclusion: The combination of serology and blood group genetic analysis provides a diagnostic basis for identifying antibodies to high-frequency antigens. Managing perinatal anemia and implementing staged autologous blood storage can secure blood supply for the perioperative period. IgG antibody subclass typing offers a reference for clinical assessment and prevention of HDFN.

Objective To explore the potential prognostic factors of patients with acute ischemic stroke(AIS)after undergoing endovascular mechanical thrombectomy and to construct an effective predictive model.Methods A retrospective analysis of clinical data was conducted on 202 patients with anterior circulation large vessel occlusion AIS from 2 stroke centers.All patients received endovascular mechanical thrombectomy treatment,with treatment and follow-up lasting at least 90 d.Basic demographic characteristics,medical records,and baseline blood biomarker data were collected,and the potential prognostic indicators for AIS after 90 d were screened using least absolute shrinkage and selection operator(LASSO)-logistic regression analysis.Results It was found that alcohol drinking(P=0.029),hypertension(P=0.001),diabetes mellitus(P=0.021),stroke or transient ischemic attack(P=0.049),systolic blood pressure on admission(P=0.009),diastolic blood pressure on admission(P=0.038),blood glucose(P=0.003),white blood cell count(P=0.001),neutrophil count(P=0.001),fibrinogen(P=0.010),systemic immune-inflammation index(P=0.008)and neutrophil-to-lymphocyte ratio(NLR)(P＜0.001)were associated with adverse clinical outcomes.Nine significant prognostic determinants were screened through LASSO-logistic regression analysis.Multivariate logistic regression analysis revealed that male sex(P=0.008),smoking history(P=0.013),hypertension(P=0.011),lymphocyte(P=0.028),fibrinogen(P=0.016),and NLR(P＜0.001)were significant predictive factors for poor prognosis in AIS patients after endovascular thrombectomy treatment.The constructed prognostic model had an accuracy of 76.2％,a sensitivity of 78.2％,a specificity of 71.7％,and a positive predictive value of 86.7％.Conclusion The predictive model established in this study can assist clinicians in identifying high-risk patients with AIS who have undergone endovascular thrombectomy,and it provide guidance for formulating individualized treatment strategies.

Objective To investigate the potential therapeutic targets and underlying molecular mechanisms of Z-ligustilide(Z-LIG)in treating retinitis pigmentosa(RP).Methods By integrating multiple databases,such as GeneCards and TargetNet,common targets for RP and Z-LIG were identified.Protein-protein interaction(PPI)network analysis of the targets was conducted using the STRING database and analyzed in Cytoscape to identify core targets.The DAVID database was employed for the functional enrichment analysis of Gene Ontology(GO)and the pathway enrichment analysis of Kyoto Encyclopedia of Genes and Genomes(KEGG)for the core targets.The PubChem database was accessed for molecular docking verification to validate the binding affinity between Z-LIG and the core targets.Finally,male rd10 mice were randomly divided into a control group(n=5)and a Z-LIG treatment group(n=5).The protective effect of Z-LIG on the visual function in rd10 mice was verified through visual electrophysiology and behavioral tests.Western blotting and RT-qPCR were utilized to investigate the molecular mechanism of action.Results A total of 66 shared targets between RP and Z-LIG were identified through the screening process.PPI network analysis identified 55 key targets.GO enrichment analysis yielded 623 terms,which covering 3 dimensions,including cellular component(CC),molecular function(MF),and biological process(BP),such as inflammatory response.KEGG pathway enrichment analysis further concentrated 124 terms,which were enriched in the PI3K-Akt signaling pathway.Molecular docking suggested that Z-LIG could specifically bind with high affinity to RP-related core targets(such as EGFR and STAT3)via hydrogen bonds.In animal experiments,compared to the control group,the rd10 mice from the Z-LIG group showed a greater preference for the dark environment in the light/dark transition test(P<0.05),exhibited significantly higher amplitudes of A-wave and B-wave in electroretinogram(ERG)(P<0.05),greater number of outer nuclear layers,with fewer apoptotic cells and less microglial activation(P<0.05),demonstrated obviously reduced protein levels of p-PI3K/PI3K and p-AKT/AKT in the retina(P<0.05),and had notably down-regulated mRNA levels of pro-inflammatory cytokines IL-1β and IL-6(P<0.05).Conclusion Z-LIG may exert a protective effect on the retina of rd10 mice by inhibiting the activation of the PI3K/AKT-inflammatory axis,thereby delaying retinal degeneration.

Objective:To review the application of internet cognitive behavioral therapy (CBT) in perinatal women with negative emotions, point out the limitations of existing studies, and put forward development suggestions for future research.Methods:Using the Scope review guide published by Joanna Briggs Institute as the methodological framework, eight Chinese and English databases including China National Knowledge Infrastructure (CNKI), Wanfang, PubMed and Web of Science were searched until July 1, 2024, and the literatures were collected and analyzed.Results:A total of 18 literatures were included. The interventionists of internet cognitive behavioral therapy were mostly psychologists; the intervention methods were mostly in the form of partial participation of therapists, and the intervention platforms were mostly websites. The intervention content was centered on mental health education, emotional monitoring, cognitive reconstruction, behavioral activation training, and problem solving. There were 15 studies that demonstrated that internet cognitive behavioral therapy was effective, and three studies showed that internet cognitive behavioral therapy was not effective in improving negative emotions in perinatal women, but perinatal women responded to treatment.Conclusions:The Internet cognitive behavioral therapy can effectively improve the negative emotions of perinatal pregnant women, but the long-term effect is not clear. Future studies can expand the sample size and follow up the effect for a long time.

[Objective]To clarify the associations between plasma fibrinogen(Fbg)and volumetric bone mineral density(vBMD)as well as osteoporosis measured by quantitative computed tomography(QCT),and to explore the role of plasma Fbg in early screening and diagnosis of osteoporosis.[Methods]Patients with hypertension who were hospitalized in the Department of Endocrinology of Sun Yat-sen Memorial Hospital of Sun Yat-sen University from January 2018 to June 2022 and underwent QCT examinations were included for cross-sectional analysis.The study analyzed the correlation between plasma Fbg and osteoporosis in patients.The diagnostic efficacy of plasma Fbg for osteoporosis was evaluated by the area under the receiver operating characteristic(ROC)curve(AUC).[Results]Totally 441 subjects were included in the analysis,with an average age of 46.0±14.5 years and a prevalence of osteoporosis of 6.4%(28/441).As the level of plasma fibrinogen increased,the incidence of osteoporosis significantly increased(P<0.000 1)while the average bone mineral density of L1 and L2 were significantly decreased(P<0.05).Compared with the first quartile of plasma Fbg(1.99g/L-2.37g/L),the risk of osteoporosis in the fourth quartile of plasma Fbg(3.67g/L-4.46g/L)increased by 8.85 times after adjusting for related confounding factors.[Conclusion]This study found a negative correlation between plasma fibrinogen levels and bone density in patients with hypertension.Plasma fibrinogen levels may serve as a potential screening indicator for osteoporosis,aiding in early diagnosis and therapeutic monitoring.This discovery offers a new perspective for the study of bone metabolic diseases and warrants further investigation.

Objective:To explore the neurophysiological features of the prefrontal-limbic-striatal circuit in patients with early-stage bipolar disorder without manic or hypomanic episodes, and its role in identifying early-stage bipolar disorder.Methods:From 2009 to 2019, a total of 155 hospitalized patients with major depressive disorder (MDD) from Nanjing Brain Hospital were selected after at least 5 years of follow-up, 31 patients with depression transitioned to bipolar disorder(ctBD group) and 76 patients remained the diagnosis of MDD(MDD group) were recruited.Sixty-two healthy controls matched for age, gender, and education years were selected as control group(HC group). Resting-state magnetoencephalography (MEG) data in eyes-open state of all subjects were collected.Data were analyzed based on the fieldtrip toolkit on the MATLAB platform. The key brain area of the prefrontal-limbic-striatal circuit were selected. Inter-group statistical analysis were conducted on the spectral energy and power-correlated functional connectivity at the theta, alpha, beta, and gamma frequency bands in the brain area of interest. In addition, the prediction model was constructed to early recognize bipolar disorder.Results:(1)There were statistically significant differences in the spectral energy of theta and alpha frequency bands in the prefrontal-limbic-striatal circuit among the 3 groups (cluster- F=120.50, 112.39, both P<0.05). The spectral energy of theta and alpha frequency bands in interest brain regions of prefrontal-limbic-striatal circuit in MDD group was lower than that in HC group (cluster- t=89.52, P<0.05). The spectral energy of theta band in prefrontal-limbic-striatal circuit in ctBD group was lower than that in HC group(cluster- t=105.82, P<0.05), and the spectral energy of alpha band in inferior frontal gyrus, orbitofrontal gyrus and caudate nucleus was lower than that in HC group (cluster- t=75.78, P<0.05), while there was no significant difference between the MDD group and the ctBD group ( P>0.05).(2)After FDR correction, there were statistically significant differences in functional connectivity between the left orbitofrontal gyrus and the right ventral striatum among the three groups (0.26 (0.13, 0.34), 0.12 (0.09, 0.24), 0.27 (0.20, 0.37), H=13.51, P<0.05, FDR correction). The strength of functional connectivity between the left orbitofrontal gyrus and the right ventral striatum in the MDD group was weaker than that in the HC group and the ctBD group (all P<0.05).(3)Binary Logistic regression analysis showed that the functional connectivity of beta frequency band between the left orbitofrontal gyrus and the right ventral striatum ( B=1.50, OR=4.50, 95% CI=1.73-11.70), the functional connectivity between the right orbitofrontal gyrus and the right amygdala( B=0.98, OR=2.68, 95% CI=1.18-6.13), the total HAMD score ( B=0.80, OR=2.28, 95% CI=1.36-3.67), the body weight factor score ( B=-1.99, OR=0.14, 95% CI=0.04-0.45), the anxiety factor score ( B=-0.99, OR=0.37, 95% CI=0.19-0.71), and sleep factor score( B=-1.14, OR=0.32, 95% CI=0.16-0.65)were the influencing factors for depression transitioned to bipolar disorder. Conclusion:The decreased resting low-frequency energy in the prefrontal-limbic-striatal circuit may be the common neural basis for the onset of unipolar and bipolar depression, and enhanced functional connectivity may be a potential neural circuit mechanism for depression transitioned to bipolar disorder. Functional connectivity combined with clinical manifestations is helpful for early recognition of bipolar disorder.

Objective:To establish a linear calibration method using two reference substances for seven characteristic peaks of Cassiae Semen under complicated chromatographic condition,and to optimize the method.Methods:Using 15 different types of screened chromatographic columns and 2 components as reference compounds pair,the linear calibration method with 2 reference substances was established to predict the retention time of the other 5 components,and the method was verified by unknown chromatographic columns and unknown samples.Combined with column confirmation number and average coincidence rate of target peaks,the location results were compared comprehen-sively,and the method was optimized according to the defect under the influence of complicated chromatographic condition.Results:The average conformity rate of the target peak of the method before optimization was 73.3％,and the average conformity rate of the target peak of the optimized method was 98.7％.The optimized method has a high-er average peak coincidence rate and a wider range of applicability for the chromatographic column.Conclusion:The optimized linear calibration method using two reference substances can assist the localization analysis of chromato-graphic peaks in the characteristic chromatogram under complicated chromatographic condition.

OBJECTIVE T o explore the prevention and control measures for the hospital-acquired pulmonary mu-cormycosis caused by Cunninghamella bertholletiae.METHODS One case of patient with pulmonary mucormyco-sis caused by Cunninghamella bertholletiae who was treated in pediatric intensive care unit(PICU)of a three-A general hospital was enrolled in the study,the process of clinical diagnosis and treatment was summarized.A ret-rospective survey regarding four aspects including people,machine,materials and environment was conducted.The related factors leading to the hospital-acquired infections in the patient were analyzed.RESULTS The child was diagnosed with severe aplastic anemia and underwent hematopoietic stem cell transplantation,the child was treated with various invasive procedures during the treatment period and was infected with pulmona-ry mucormycosis caused by the rare Cunninghamella bertholletiae.The occurrence of the pulmonary mucormyco-sis was associated with the poor management of medical textile,insufficient environmental cleaning and disinfec-tion and nonstandard invasive procedures.CONCLUSIONS The Cunninghamella bertholletiae infection is less com-mon,but the risk of death is high.It is necessary for the medical institutions to complete the prevention and con-trol measures and intensify the health care workers'capabilities in identification of the pathogenic fungus so as to reduce the incidence of pulmonary mucormycosis caused by the pathogen.

OBJECTIVE To investigate the current status of occupational hazards among nursing staff in general hospitals,explore the influencing factors and analyze the prevalence of occupational exposure among the nursing staff.METHODS A survey was conducted for the nursing staff who were selected from 8 general hospitals in Bei-jing through convenience sampling method,and the data regarding the occupational exposure among the nursing staff from 2023 to 2024 were summarized and analyzed.Statistical analyses were performed for the survey data by SPSS 23.0 software.RESULTS Among 963 nursing staff included in the survey,the average index of total occupa-tional risk was 311.55;19 of 28 items of occupational hazard risks were intolerable risks.There were no significant differences in the risk indexes among the nursing staff with different education backgrounds and working years;there were significant differences in the hazard risk indexes of body mechanics,psychological society and organiza-tional factors among the nursing staff with different titles(P＜0.05).There were significant differences in acci-dent hazard,physical hazard,body mechanics,psychological society,organizational hazard and biological hazard among the different departments of nursing staff(P＜0.05).There were totally 184 case-times of occupational ex-posures that were actively reported by nursing staff in 2023 and 2024.CONCLUSIONS The status of occupational exposure among the nursing staff in the general hospitals remains concerning.The structure of occupational haz-ards has shifted from predominantly physical risks to psychosocial risks.The perceptions of occupational risks vary significantly among the nursing staff with different titles,the occupational risk vary among the departments,and a cognitive-behavioral dissociation in occupational protection practices persists to some extent among the nursing personnel.Healthcare institutions must continuously strengthen occupational protection system through multidi-mensional approaches to address these evolving challenges.

Objective:To review the application of internet cognitive behavioral therapy (CBT) in perinatal women with negative emotions, point out the limitations of existing studies, and put forward development suggestions for future research.Methods:Using the Scope review guide published by Joanna Briggs Institute as the methodological framework, eight Chinese and English databases including China National Knowledge Infrastructure (CNKI), Wanfang, PubMed and Web of Science were searched until July 1, 2024, and the literatures were collected and analyzed.Results:A total of 18 literatures were included. The interventionists of internet cognitive behavioral therapy were mostly psychologists; the intervention methods were mostly in the form of partial participation of therapists, and the intervention platforms were mostly websites. The intervention content was centered on mental health education, emotional monitoring, cognitive reconstruction, behavioral activation training, and problem solving. There were 15 studies that demonstrated that internet cognitive behavioral therapy was effective, and three studies showed that internet cognitive behavioral therapy was not effective in improving negative emotions in perinatal women, but perinatal women responded to treatment.Conclusions:The Internet cognitive behavioral therapy can effectively improve the negative emotions of perinatal pregnant women, but the long-term effect is not clear. Future studies can expand the sample size and follow up the effect for a long time.