Retinal microcirculatory disorder is a key factor in the occurrence and development of diabetic retinopathy （DR）， and also an important link in the prevention and treatment of DR. The theory of "Gaozhuo" holds that the microcirculatory disorder in DR is based on the deficiency of spleen Qi and is characterized by the obstruction caused by "Gaozhuo" and blood stasis. The deficiency of spleen Qi is an essential precondition for the endogenous formation and accumulation of Gaozhuo， while Gaozhuo invasion is the direct cause of microcirculatory disorders in DR. The deficiency of spleen Qi and the endogenous formation of Gaozhuo mean the process in which glucose metabolism dysfunction induces an excessive production of inflammatory factors and lipid metabolites. The obstruction caused by "Gaozhuo" and blood stasis is the direct pathogenesis of microcirculatory disorders in DR， encompassing two stages： Gaozhuo obstruction and turbidity and stasis stagnation. Gaozhuo obstruction and turbidity and stasis stagnation represent the process in which inflammatory factors and lipid metabolites damage the retinal microcirculation and induce thrombosis， thus mediating microcirculatory disorders. Turbidity and stasis stagnation and blood extravasation outside the vessels reveal the progression to microvascular rupture and hemorrhage resulting from the microcirculatory disorders. According to the pathogenesis evolution of the theory of "Gaozhuo"， microcirculatory disorders in DR can be divided into deficiency of spleen Qi with Gaozhuo obstruction， deficiency of spleen Qi with turbidity and stasis stagnation， and turbidity and stasis stagnation with blood extravasation outside the vessels. Clinically， treatment principles should focus on strengthening the spleen and benefiting Qi， resolving turbidity， and dispersing stasis. Different syndrome patterns should be addressed with tailored therapies， such as enhancing the spleen and benefiting Qi while regulating Qi and reducing turbidity， strengthening the spleen and benefiting Qi while resolving turbidity and dispelling stasis， and strengthening the spleen and resolving turbidity while removing stasis and stopping bleeding. Representative prescriptions include modified Wendantang， modified Buyang Huanwutang， modified Danggui Buxuetang， Zhuixue Mingmu decoction， Tangmuqing， Shengqing Jiangzhuo Tongluo Mingmu prescription， Danhong Huayu decoction， and Yiqi Yangyin Huoxue Lishui formula.

OBJECTIVE: The aim of this study is to analyze the clinical features and genetic etiology of a patient with multiple morphological abnormalities of the sperm flagella (MMAF) retrospectively. METHODS: A severely oligospermic patient from the Reproductive Center of the First Affiliated Hospital of Ningbo University was selected as the study subject. Clinical data and examination results were collected. High-throughput sequencing and bioinformatics were used to analyze the genetic etiology. And Sanger sequencing was employed to validate findings in the family. Transmission electron microscopy (TEM) was used to observe the sperm ultrastructure, and immunofluorescence analysis was performed to examine the localization of FSIP2 protein in the sperm. RESULTS: The patient presented with severe oligospermia, and sperm morphology displayed MMAF. TEM revealed fibrous sheath and 9+2 microtubule structural disruptions in the sperm. Sequencing identified compound heterozygous variants in the FSIP2 gene (c.17798C > T, c.5927T > G), inherited from the father and mother, respectively. According to the guidelines of the American College of Medical Genetics and Genomics, the variants were classified as pathogenic. The patient's spouse underwent intracytoplasmic single sperm injection, resulting in one embryo, but no clinical pregnancy occurred after embryo transfer. CONCLUSION This study reported the mutation of FSIP2 gene c.17798C > T, c.5927T > G in a patient with MMAF. These findings expand the mutational spectrum of the FSIP2 gene and provide insights for genetic and assisted reproductive counseling for patients with MMAF.
Humans ; Male ; Sperm Tail/pathology* ; Heterozygote ; Oligospermia/genetics* ; Spermatozoa ; Mutation ; Infertility, Male/genetics* ; Adult ; Pedigree ; Retrospective Studies ; Sperm Injections, Intracytoplasmic

Objective To screen long non-coding RNA(lncRNA)associated with disulfidptosis and investigate the immune landscape between lncRNA and pancreatic cancer,for effective guidance in clinical practice.Methods The normal and pancreatic cancer tissue samples were obtained from The Cancer Genome Atlas database,and the lncRNA associated with disulfidptosis was identified based on the Cox and LASSO regression analyses.A risk prognosis model was constructed,and its predictive performance was verified using comprehensive methods.An accurate nomogram was construted to predict the prognosis of patients with pancreatic cancer.The biological differences were analyzed via Gene Ontology,Gene Set Enrichment Analysis,and an immunoassay.The immunotherapy response was estimated using the tumor mutational burden(TMB)score.Results A total of 251 disulfidptosis-related lncRNAs were successfully identified,and three groups of lncRNAs were selected as the reference for the risk model.Pathway analysis showed that immune-related pathways were associated with disulfidptosis-related lncRNA risk models.The risk score was significantly correlated with immune cell infiltration and the ESTIMATE score.Patients with higher risk scores had elevated TMB,indicating that high-risk patients exhibited a better immune checkpoint blockade response.Conclusion The findings of this study contribute to a deeper understanding of disulfidpto-sis-related lncRNA and provide a potential therapeutic strategy for pancreatic cancer.

Objective:To understand the current status of discharge planning nursing for primipara who separated from their infants during hospitalization and provide a reference basis for constructing a clinical nursing plan.Methods:From February to June 2023, a field research about situation of nursing practice in discharge planning service among primiparas who separated from their infants was conducted in the Department of Obstetrics, Obstetrics and Gynecology Hospital Affiliated to Tongji University. Data was collected by field observation and informal interviews with 12 nurses and analyzed by three-level coding method of qualitative research.Results:All 12 nurses were female with 24-46 (33.33 ± 1.83) years old. The work content of the observation subjects could be divided into 4 items including providing infants′ health information, breastfeeding, postpartum rehabilitation, psychological care and social support. All the 4 items needed to be improved in providing infants′ health information, evaluating psychological status and social support, and quality of discharge teaching.Conclusions:It still needs further development in discharge planning nursing for primipara separated from their infants during hospitalization. It is urgent to improve the quality of discharge planning nursing for primiparas who have separated from their infants by developing scientific and standardized discharge planning nursing process, conducting standardized training for nurses, improving nurses′ psychosocial assessment ability, homogenizing health education, and improving humanistic care, so as to promote the rehabilitation of primiparas and get used to being a mother.

Objective To construct machine learning models that can be used to predict AUC fold change(FC)using a database of existing pharmacokinetic(PK)and drug-drug interaction(DDI)information,which can be used to explore the possibility of predicting existing drug interactions and to provide certain rational recommendations for clinical drug use.Methods PK data of DDIs and AUC fold change data were extracted from FDA-approved drug labels.Peptide and pharmacodynamic(PD)information related to drug interactions were retrieved through DrugBank,and PPDT identification of relevant peptide IDs was performed using Protein Resource(UniProt),and a matrix normalization code was used to generate multidimensional vector data that were easy to analysis.The effect of PPDT on the AUC,and the resulting multiplicity change was used as the dependent variable for machine learning model construction.The model with the smallest root mean square error(RMES)value was used for model construction to train a bagged decision tree(Bagged)prediction model.The models were tested using the trained models for some of the drug tests.The models were evaluated by reviewing the available literature findings on detection of drug interaction pairs and analyzing and comparing the predicted values.Results A total of 16 pairs of model drug pairs were tested for the effects of 16 drugs on tacrolimus,and it was found that the accuracy of the prediction of the presence or absence of drug interactions was 81.25％;the prediction results were classified according to the FDA standard classification of the strong and weak for the strength of drug interactions,and the results showed that the prediction of the strength of drug interactions,with a large deviation from the larger prediction was less.Conclusion The evaluation of the model to predict the presence or absence of drug interactions was general;however,after classifying the strengths and weaknesses of drug interactions,the prediction of drug interactions was better,and the prediction results indicated that the model prediction performance has a certain reference value for potential DDI assessment before clinical trials.

Background::A phase II trial on recombinant human tenecteplase tissue-type plasminogen activator (rhTNK-tPA) has previously shown its preliminary efficacy in ST elevation myocardial infarction (STEMI) patients. This study was designed as a pivotal postmarketing trial to compare its efficacy and safety with rrecombinant human tissue-type plasminogen activator alteplase (rt-PA) in Chinese patients with STEMI.Methods::In this multicenter, randomized, open-label, non-inferiority trial, patients with acute STEMI were randomly assigned (1:1) to receive an intravenous bolus of 16 mg rhTNK-tPA or an intravenous bolus of 8 mg rt-PA followed by an infusion of 42 mg in 90 min. The primary endpoint was recanalization defined by thrombolysis in myocardial infarction (TIMI) flow grade 2 or 3. The secondary endpoint was clinically justified recanalization. Other endpoints included 30-day major adverse cardiovascular and cerebrovascular events (MACCEs) and safety endpoints.Results::From July 2016 to September 2019, 767 eligible patients were randomly assigned to receive rhTNK-tPA ( n = 384) or rt-PA ( n = 383). Among them, 369 patients had coronary angiography data on TIMI flow, and 711 patients had data on clinically justified recanalization. Both used a –15% difference as the non-inferiority efficacy margin. In comparison to rt-PA, both the proportion of patients with TIMI grade 2 or 3 flow (78.3% [148/189] vs. 81.7% [147/180]; differences: –3.4%; 95% confidence interval [CI]: –11.5%, 4.8%) and clinically justified recanalization (85.4% [305/357] vs. 85.9% [304/354]; difference: –0.5%; 95% CI: –5.6%, 4.7%) in the rhTNK-tPA group were non-inferior. The occurrence of 30-day MACCEs (10.2% [39/384] vs. 11.0% [42/383]; hazard ratio: 0.96; 95% CI: 0.61, 1.50) did not differ significantly between groups. No safety outcomes significantly differed between groups. Conclusion::rhTNK-tPA was non-inferior to rt-PA in the effect of improving recanalization of the infarct-related artery, a validated surrogate of clinical outcomes, among Chinese patients with acute STEMI.Trial registration::www.ClinicalTrials.gov (No. NCT02835534).

Aim To study the effect of menthol on hypobaric hypoxia-induced pulmonary arterial hypertension and explore the underlying mechanism in mice. Methods 10 to 12 weeks old wild type (WT) mice and TRPM8 gene knockout (TRPM8

Objective Explore a non-contact physiological and psychological detection model based on facial video in simulations of weightlessness effects,research new methods for non-contact heart rate and negative mood state detection in long-term simulations of weightlessness effect analysis.Methods Construct a non-contact physiological and psychological data collection system for fusion analysis of visible light and thermal infrared videos.Collect physiological and psychological data of volunteers in the"Earth Star-Ⅱ"90-day head-down bed rest experiment.A non-contact heart rate detection model based on GCN facial multi-region feature fusion and a non-contact negative mood state detection model considering data reliability were constructed,and the effectiveness of the models were validated with finger clip heart rate and POMS-SF scale as labels.Results The experimental results show that the average difference in the Bland-Altman plot of the non-contact heart rate detection model is-1.26 bpm,and 96.3%of value error detection data falls within the 95%confidence interval,indicating a high consistency between the model detected heart rate and the finger clip heart rate.The non-contact negative mood state detection model achieves an accuracy of>0.85 for detecting tension,depression,anger,and fatigue.Features such as heart rate,AU06,eye gaze,and head pose were observed to be important to mood state detection.Conclusion Non-contact physiological and psychological detection methods not only can be utilized for long-term physiological analysis in simulations of weightlessness effects,but also provide a novel technical approach for on-orbit astronauts health assurance during long-term space flight in the future.

Objective To compare the interaction efficiency of three human-machine interaction modes with hand-touch control,eye movement control and voice control,based on a multi-channel human-machine interaction system in flight mission scenarios.Methods 20 pilots took part in the study and completed the first level(relatively simple)and second level(relatively complex)interactive experimental tasks in three human-computer interaction modes based on specific flight mission scenarios.The interaction efficiency indicators included the system's interaction time,response time,fusion calculation time,and number of errors.After the experiment was completed,the pilots conducted a subjective evaluation,which included the suitability of the interaction mode to the task,consistency with expected usage,fault-tolerance,effective feedback,and the tendency of the interaction mode to be applied in future flight fields.Results There were generally significant differences in interaction efficiency between hand-touch control,voice control,and eye movement control in flight mission scenarios,but the differences differed in first-level and second-level interaction tasks.Based on the comprehensive interaction experimental tasks at all levels,the experimental results obtained included:(1)the interaction time of hand-touch control was the shortest,the interaction time of voice control was the longest,and the main effect of the interaction mode was significant(F=18.214,P<0.001,η2=0.565);(2)The response time of hand-touch control was the shortest,while the response time of eye movement control was the longest.The main effect of interaction mode was significant(F=153.085,P<0.001,η2=0.944);(3)The fusion calculation time for hand-touch control was the shortest,while the fusion calculation time for voice control was the longest.The main effect of the interaction mode was significant(F=41.702,P<0.001,η2=0.777);(4)The errors in voice control were the least,while those in eye movement control were the most.The main effect of interaction mode was significant(χ2=22.845,P<0.001,φ=1.097);(5)The subjective evaluation scores of pilots on voice control were higher than those on eye movement control,and all had statistical significance(P<0.001,P<0.01).Conclusions This study focuses on flight interaction tasks and compares the interaction efficiency of three interaction modes of hand-touch control,voice control,and eye movement control,through a combination of experiments and subjective evaluations.The differences in various interaction efficiency indicators among different interaction modes are found,and the interaction modes have a significant impact on interaction efficiency.Hand-touch control has a significant advantage in interaction time efficiency,voice control has an advantage in accuracy for simple tasks,while eye movement control has relatively weak time efficiency and accuracy;Compared to eye movement control,pilots exhibit higher evaluations and tendencies towards voice control.The research results can provide reference for the future design,evaluation,and application of multi-modal interaction systems.

Objective To compare the three methods in intensity modulated radiation therapy(IMRT)dose verification using PTW Detector729.Methods A total of 50 patients with nasopharyngeal cancer,lung cancer,breast cancer,cervical cancer and whole brain radiation therapy who completed radiation treatment at some hospital from January to December 2022 were selected retrospectively.Two-dimensional(zero and actual gantry angles)and three-dimensional dose verifications were carried out for the IMRT plans using PTW Detector729 2D ionization chamber matrix combined with PTW RW3 solid water and PTW Ocavius 4D rotation unit.The dose assessment threshold was set to 10％,and the γ pass rates of the three verification methods were counted under four assessment criteria,namely 3％/1 mm,2％/2 mm,3％/2 mm and 3％/3 mm.SPSS 22.0 statistical software was used for data analysis.Results Under the 10％dose assessment threshold criterion,zero-gantry-angle 2D dose verification had the highest γ pass rate,and the differences were statistically significant(P＜0.05);actual-gantry-angle 2D dose verification had the γ pass rate higher than that of 3D verification,and the differences were statistically significant(P＜0.05).The γ pass rates of the three verification methods gradually increased under four criteria,namely,3％/1 mm,2％/2 mm,3％/2 mm and 3％/3 mm,and exceeded 90％under the 3％/2 mm criterion,and the results met the requirements of clinical radiotherapy.Conclusion The results of the three verification methods satisfy the requirements of the IMRT dose verification practice guidelines,and the selection of appropriate verification methods is of great significance to ensure the implementation of the treatment plan.[Chinese Medical Equipment Journal,2024,45(5):56-59]