BACKGROUND:The imbalance between bone resorption and bone formation in microgravity environments leads to significant bone loss in astronauts.Current research indicates that bone loss under microgravity conditions is the result of the combined effects of various cells,tissues,and systems. OBJECTIVE:To review different biological effects of microgravity on various cells,tissues,or systems,and summarize the mechanisms by which microgravity leads to the development of osteoporosis. METHODS:Databases such as PubMed,Web of Science,and the Cochrane Database were searched for relevant literature from 2000 to 2023.The inclusion criteria were all articles related to tissue engineering studies and basic research on osteoporosis caused by microgravity.Ultimately,85 articles were included for review. RESULTS AND CONCLUSION:(1)In microgravity environment,bone marrow mesenchymal stem cells tend to differentiate more into adipocytes rather than osteoblasts,and hematopoietic stem cells in this environment are more inclined to differentiate into osteoclasts,reducing differentiation into the erythroid lineage.At the same time,microgravity inhibits the proliferation and differentiation of osteoblasts,promotes apoptosis of osteoblasts,alters cell morphology,and reduces the mineralization capacity of osteoblasts.Microgravity significantly increases the number and activity of osteoclasts.Microgravity also hinders the differentiation of osteoblasts into osteocytes and promotes the apoptosis of osteocytes.(2)In a microgravity environment,the body experiences changes such as skeletal muscle atrophy,microvascular remodeling,bone microcirculation disorders,and endocrine disruption.These changes lead to mechanical unloading in the bone microenvironment,insufficient blood perfusion,and calcium cycle disorders,which significantly impact the development of osteoporosis.(3)At present,the mechanism by which microgravity causes osteoporosis is relatively complex.A deeper study of these physiological mechanisms is crucial to ensuring the health of astronauts during long-term space missions,and provides a theoretical basis for the prevention and treatment of osteoporosis.

ObjectiveTo evaluate the effectiveness and safety of Sufei Pingchuan Formula （肃肺平喘方） in the treatment of bronchiectasis with airflow limitation， phlegm-heat obstructing the lung， and lung-spleen qi deficiency syndrome. MethodsA randomized， double-blind， placebo-controlled trial was conducted. A total of 72 patients with stable bronchiectasis with airflow limitation of phlegm-heat obstructing the lung and lung-spleen qi deficiency syndrome were randomly divided into treatment group and control group， with 36 cases in each group. On the basis of regular inhalation of tiotropium bromide inhalation spray， the treatment group was given Sufei Pingchuan Formula granules， and the control group was given Sufei Pingchuan Formula granule simulant. The course of treatment in both groups was 12 weeks. The pulmonary function of both groups before and after treatment was observed， specifically focusing on forced expiratory volume in one second （FEV1）； the modified British Medical Research Council （mMRC） dyspnea scale， 24-hour sputum volume， COPD assessment test （CAT）， and traditional Chinese medicine （TCM） syndrome scores were assessed before treatment and after 4， 8， and 12 weeks of treatment； acute exacerbations were recorded at weeks 4， 8， and 12； additionally， changes in routine blood tests， urinalysis， liver and kidney function， and adverse events were monitored before and after treatment. ResultsAfter treatment， 4 patients in the treatment group and 6 in the control group dropped out. After 12 weeks of treatment， FEV1 increased in both groups compared to pre-treatment levels （P＜0.05）， but the difference between groups was not statistically significant （P＞0.05）. Compared to before treatment， the treatment group showed a reduction in mMRC scores after 12 weeks （P＜0.05） and a decrease in 24-hour sputum volume， CAT scores， and TCM syndrome scores at weeks 4， 8， and 12 （P＜0.05）. In the control group， 24-hour sputum volume decreased after 12 weeks （P＜0.05）， and TCM syndrome scores decreased at weeks 8 and 12 （P＜0.05）. Compared to the control group， the treatment group showed a greater reduction in mMRC scores at week 12 （P＜0.05）， a decrease in 24-hour sputum volume and TCM syndrome scores at weeks 4， 8， and 12 （P＜0.05）， and lower CAT scores at weeks 8 and 12 （P＜0.05）. The frequency and number of acute exacerbations in the treatment group were significantly lower than those in the control group at week 12 （P＜0.05）. No severe adverse events occurred in either group. ConclusionSufei Pingchuan Formula can improve the pulmonary function FEV1， the severity of dyspnea， reduce 24-hour sputum volume and frequent acute exacerbations， and improve the quality of life in patients with bronchiectasis and airflow limitation， with good safety.

Objective To explore the effect of a shared care applied to pregnancy care among pregnant women with hypertensive disorder of pregnancy(HDP).Methods A total of 88 pregnant women with HDP who received ob-stetric check-ups in a tertiary A-level matemity hospital in Nanjing City from January to October 2023 were conve-niently selected as the research subjects.According to the order of obstetric examinations,44 pregnant women with HDP from June to October 2023 were selected as an experimental group,and 44 pregnant women with HDP from January to May 2023 were selected as a control group.The experimental group received the shared care clinic management model,and the control group received the routine management.The scores of the rate of blood pres-sure attainment,the incidence of disease progression,the questionnaire on knowledge of HDP,the Hypertension Self-Management Scale,the Pregnancy-Related Anxiety Scale,and the Patient Satisfaction Questionnaire were compared between the 2 groups.Results 41 patients in the experimental group and 39 patients in the control group com-pleted the study.After the intervention,the blood pressure compliance rate of pregnant women with HDP in the experimental group was 95.12％,higher than 79.49％in the control group.The incidence of disease progression was 7.32％,lower than 25.64％in the control group.HDP Knowledge Questionnaire score(25.24±4.07),Hypertension Self-Management Scale score(114.39±14.89),and Patient Satisfaction Questionnaire score(19.56±1.14)were higher than that of the control group.The score of Pregnancy-Related Anxiety Scale was(18.02±2.15),lower than(23.18±9.58)in the control group.The score of Patient Satisfaction Questionnaire was(19.56±1.14),higher than that(17.26±2.25)in the control group.The differences were statistically significant(P＜0.001).Conclusion The shared care clinic model can improve HDP pregnant women's blood pressure control compliance,HDP knowledge,and self-management,reduce the incidence of disease progression,pregnancy-related anxiety,and improve satisfaction,which provides a reference for optimising the HDP management model.

Objectives:To explore the value of non-invasive myocardial work combined with myocardial contrast echocardiography(MCE)in the early diagnosis of coronary artery disease and its efficacy in stratifying the severity of coronary vessel lesions.Methods:A total of 130 patients with suspected coronary artery disease admitted to the First Affiliated Hospital of Dalian Medical University from June 2024 to January 2025 were enrolled in this study.All patients underwent echocardiography and MCE after admission,and coronary angiography(CAG).Based on CAG results,patients were divided into non-CAD group(n=45,coronary artery stenosis<50%)and CAD group(n=85,coronary artery stenosis≥50%).Patients in CAD group were further divided into low-score CAD group(≤49 points,n=43)and high-score CAD group(>49 points,n=42)according to the median of Gensini score(49 points).Non-invasive MW indices and quantitative MCE parameters were assessed.A binary logistic regression model was used to construct a combined diagnostic model,and the value of each parameter in diagnosing CAD and evaluating the severity of coronary lesions was calculated.The receiver operating characteristic(ROC)curve of subjects was estimated,and the area under the curve(AUC)was calculated to evaluate its sensitivity and specificity for early diagnosis of coronary heart disease.Results:Compared with the non-CAD group,the global longitudinal strain,global work index(GWI),and global constructive work(GCW)in both low-score and high-score CAD groups were significantly lower(all P<0.05),and the global work efficiency in the high-score CAD group was significantly reduced(P<0.05).MCE indices in both low-score and high-score CAD groups were significantly lower than those in the non-CAD group(all P<0.05).The multivariate logistic stepwise regression analysis and ROC curve showed that GWI(OR=0.997,95%CI:0.995-0.999,P=0.003)and A value(representing the peak intensity of the curve,reflecting myocardial blood volume(OR=0.415,95%CI:0.246-0.698,P=0.001)were independent predictors of low-score CAD.The combined diagnostic sensitivity and specificity for low-score coronary artery disease were 72.1%and 88.9%respectively,with an AUC of 0.851.GCW(OR=0.997,95%CI:0.995-1.000,P=0.019)and β-value(OR=0.000,95%CI:0.000-0.003,P<0.001)were independent predictors of high-score CAD.The combined diagnostic sensitivity and specificity for high-score coronary artery disease were 88.1%and 88.9%respectively,with an AUC of 0.934.Conclusions:Both non-invasive myocardial work parameters and MCE parameters have high diagnostic efficacy for coronary artery lesions of various degrees.The combined application of the two methods significantly improves the accuracy of coronary artery disease diagnosis,with improved sensitivity and specificity than single technique.Our results provide a new non-invasive comprehensive diagnostic model for clinical early diagnosis and risk stratification of coronary artery disease.

Objective To investigate the correlation between dual-energy computed tomography angiography(CTA)parameters of carotid plaques and acute stroke events.Methods A retrospective analysis was conducted on the clinical and imaging data of patients who underwent dual-energy head and neck CTA and brain MRI scans.Utilizing the Siemens workstation(Syngo.Via VB40B),region of interest(ROI)were placed on the thickest slice of the carotid plaque in the axial plane to obtain parameters such as fat fraction(FF),virtual non-contrast(VNC)value,iodine concentration(IC),electron density(Rho),effective atomic number(Zeff),dual energy index(DEI),spectral curve,and corresponding CT values at 40 keV(40 keVHU)and 90 keV(90 keVHU).The slope of the energy spectrum curve(λ)was calculated within the 40 keV-90 keV range.Patients with acute cerebral infarction(ACI)in the ipsilateral anterior circulation territory were classified into the ACI group,while those without were classified into the non-acute cerebral infarction(NACI)(NACI group).Qualitative data were analyzed using the x2 test,and quantitative data were analyzed using the t-test.The predictive performance was assessed using the area under the curve(AUC)of the receiver operating characteristic(ROC)curve,and the differences between different ROC curves were compared using the DeLong test.Results A total of 72 patients were included,with 21 in the ACI group and 51 in the NACI group.The mean values of FF,Zeff,and 40 keVHU in the ACI group were greater than those in the NACI group.Statistically significant differences were observed between the groups for Zeff,DEI,40 keVHU,and λ(P＜0.05).40 keVHU demonstrated the highest predictive performance,and the AUC,sensitivity,and specificity was 0.789,81.0％,and 74.5％,respectively.A combined variable constructed through logistic regression analysis yielded an AUC,sensitivity,and specificity of 0.796,85.7％,and 70.6％,respectively,with no significant statistical differences compared to single factor variables.Conclusion Dual-energy CTA parameters of carotid plaques may aid in predicting intraplaque hemorrhage(IPH)and the occurrence of acute stroke events.

Objective:To investigate the utility of a computational pathology-based tumor microenvironment(TME)score derived from whole slide images(WSIs)in predicting the efficacy of epidermal growth factor receptor tyrosine kinase inhibitors(EGFR-TKIs)in patients with EGFR mutation-positive non-small cell lung cancer(NSCLC).Methods:This retrospective study collected 240 EGFR-mutant NSCLC pa-tients treated with EGFR-TKIs at The First Affiliated Hospital of Wannan Medical College and analyzed hematoxylin-eosin(H&E)-stained WSIs of biopsy specimens,along with clinical and imaging data.The patients were randomly assigned into a training cohort(n=160)and an inde-pendent validation cohort(n=80)in a 2:1 ratio.Treatment response was assessed based on CT findings at 3 months after EGFR-TKIs initi-ation.Computational pathology was employed to automatically quantify the proportions of four TME components(tumor epithelium,stroma,lymphocytes,and vasculature)within the tumor regions of WSIs.Multivariate Logistic regression in the training cohort identified TME components independently predictive of treatment response(P<0.05),which were then integrated into a TME-score.The predictive performance was evaluated using receiver operating characteristic(ROC)curve analysis and area under the curve(AUC).The TME-score model was compared with a clinical-feature-based model and a combined model(TME-score+clinical features).Finally,the models were val-idated in the independent cohort.Results:In the training cohort,the TME-score,incorporating epithelial and stromal proportions,achieved an AUC of 0.827(95%CI:0.749-0.892)for predicting treatment response,while the validation cohort yielded an AUC of 0.845(95%CI:0.735-0.937).Both outperformed the clinical model(AUCs=0.730[95%CI:0.645-0.804]and 0.712[95%CI:0.586-0.824],respectively).The combined model(TME-score+clinical features,including cytokeratin 19 fragment and non-contrast CT values)further improved predictive performance(AUCs=0.884[95%CI:0.827-0.932]and 0.882[95%CI:0.798-0.950],respectively).Delong's test for pairwise model comparis-ons showed significant differences(all P<0.05)except TME-score and the combined model in the validation cohort(P=0.289).Conclusions:TME-score outperformed clinical models in predicting EGFR-TKIs efficacy in EGFR mutation-positive NSCLC patients and may serve as a novel tool for identifying patients likely to benefit from targeted therapy.

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

Objective To analyze the classification characteristics of rheumatoid arthritis(RA)-related antibodies and to investigate the factors influencing the development of RA-related interstitial pulmonary diseases(RA-ILD)in RA patients using latent class analysis(LCA).Methods A retrospective analysis of 712 RA patients treated at the Department of Rheumatology and Immunology of the Second Hospital of Shanxi Medical University from December 2019 to October 2022 was conducted.According to whether patients had RA-ILD or not,they were divided into simple RA group(n=523)and RA-ILD group(n=189).Then,the differences in general data,clinical features,medication use and laboratory indicators were compared between the two groups.Based on the differences in RA-related antibody indicators,712 patients were divided into 3 latent categories using LCA:high-risk group(n=364),medium-risk group(n=205),and low-risk group(n=143).One-way analysis of variance was employed to compare clinical characteristics of the 3 groups,and the prevalence of RA-ILD was calculated.Multivariate logistic regression analysis was utilized to identify independent affect factors of RA-ILD.Results Significant differences in gender,age,and smoking history were observed between simple RA group and RA-ILD group(P<0.05).The high,medium and low risk groups exhibited significant differences in gender,age,prednisone(PRED)and methotrexate(MTX)medication history,Red blood cell count(RBC),interleukin-2(IL-2),IL-4,IL-10,IL-17,TNF-α,interferon-γ(INF-γ),serum globulins,and white blood albumins(P<0.05).The high-risk group had a higher proportion of males,RBC,IL-2,IL-4,IL-10,IL-17,TNF-α,INF-γ,and serum globulin levels,and a lower proportion of MTX medication compared with medium-and low-risk groups(P<0.05 or P<0.01).The medium-risk group had a higher proportion of MTX administration than that in high-and low-risk groups(P<0.05 or P<0.01).The low-risk group had a higher proportion of females and older age than those in other two groups(P<0.05 or P<0.01).The prevalence of RA-ILD was 30.5%,23.9%and 20.3%in the three groups,respectively.Multivariate logistic regression analysis indicated that male(OR=2.920,95%CI 1.722-4.952),age(OR=1.055,95%CI 1.035-1.074),IL-17(OR=1.013,95%CI 1.003-1.023),TNF-α(OR=1.050,95%CI 1.017-1.083),INF-γ(OR=0.962,95%CI 0.932-0.993),Serum albumin(OR=0.919,95%CI 0.869-0.971)and high risk antibody indicators(OR=1.725,95%CI 1.084-2.745)were independent predictors for RA-ILD.Conclusions RA patients exhibit distinct categories of antibody indicators,with a higher prevalence in high-risk patients with RA-ILD.RA-ILD is more likely to occur in male,elderly patients with abnormal liver function and high-risk antibody indictors.More attention should be paid to these patients and individualized interventions should be developed and implemented in a timely manner to improve the quality of patient survival.

As green, sustainable, and environmentally friendly material processing processes using biological cells or enzymes to achieve substance conversion, bioprocesses play an increasingly important role in biomanufacturing. It is difficult to optimize bioprocesses because of the complex relationship at multiple levels and multiple scales. The knowledge of mesoscale behaviors is the key to understanding the dynamics of bioprocesses and to sort out the complex relationships of parameter variations in the spatial-temporal domain. Mesoscale numerical simulation paves a way for understanding these phenomena, and the integration of artificial intelligence (AI) and mesoscale simulation offers new vitality into the optimization of bioprocesses. This article reviews the progress in mesoscale simulation and AI optimization of bioprocesses and discusses the possible development directions, aiming to promote the development of this field.
Artificial Intelligence ; Biotechnology/trends* ; Computer Simulation

Adverse pregnancy outcome (APO) refers to any pregnancy outcome other than a normal live birth, mainly including preeclampsia, fetal growth restriction, recurrent pregnancy loss, etc., which seriously threaten the health of both the mother and the fetus. Most APOs originate from abnormal uterine endometrial microenvironment before pregnancy. Once a woman confirms pregnancy, intervening in the uterine endometrium at this stage is often too late. The uterine endometrium, as a key site for embryo implantation and development, its abnormal microenvironment can lead to APO. Therefore, in-depth exploration of the relationship between the pre-pregnancy uterine endometrial microenvironment and APO is helpful for clarifying the mechanism of APO occurrence and providing key ideas and methods for early prevention and treatment. This article reviews the latest research on the mechanism of action between uterine endometrial microenvironment and APO, systematically summarizing the research progress and main conclusions in this field from several aspects such as immune imbalance, inflammatory response, abnormal energy metabolism, and senescence of uterine endometrial stromal cells.