Calcineurin inhibitor（CNI） is potent immunosuppressive agents and serve as cornerstone therapies in the treatment of organ transplantation and autoimmune diseases， with cyclosporine A and tacrolimus being the representative drugs. Long-term use of CNI can lead to drug-induced hyperglycemia， severely affecting patients’ prognosis. The pathogenesis involves multilevel pathological alterations： at the pancreatic β-cell level， CNI directly damage β-cell by inducing calcium overload， oxidative stress， and mitochondrial dysfunction， suppressing the expression of key insulin synthesis factors and promoting apoptosis； in peripheral tissues， CNI interfere with insulin receptor substrate phosphorylation and inhibit the phosphatidylinositol 3 kinase/protein kinase B signaling pathway， resulting in decreased glucose uptake and insulin resistance； additionally， CNI can also induce β-cell injury by suppressing the secretion and receptor signal transduction of glucagon-like peptide-1， as well as by activating the nuclear factor kappa B pathway to promote inflammatory responses. Clinical studies demonstrate that the incidence of CNI-associated hyperglycemia is closely related to drug type， dosage， and individual patient factors. For high-risk patients， dose adjustment of CNI， switching to agents with lower metabolic toxicity when necessary， and selection of appropriate glucose-lowering regimens based on glycemic levels are recommended. Future research should further elucidate the molecular mechanisms of CNI metabolic toxicity and optimize individualized pharmacotherapy strategies to improve long-term patient outcomes.

Objective To investigate the microbial contamination and its influencing factors of indoor air in public places in Xi'an City, to assess the health risk of employees, and to provide a scientific basis for improving the indoor environment of public places. Methods Total bacterial count and total fungal count in indoor air were monitored in hotels/inns, shopping malls/supermarkets, gyms, and waiting rooms in Xi'an from 2023 to 2024. The health risk assessment of employees was evaluated according to the Chinese Population Exposure Parameters Manual (Adult Volume). Results Overall, the standard-exceeding rate of total bacterial count in Xi'an was 3.85%, and the median values of total bacterial count and total fungal count were 350 CFU/m3 and 300 CFU/m3, respectively. The results of the generalized linear model showed that high indoor temperature and PM10 levels were associated with increased indoor bacterial concentrations (β>0, P<0.05), while high daily passenger flow, and high indoor relative humidity and PM₁₀ levels were associated with increased indoor fungal concentrations (β>0, P<0.05). The multivariate logistic regression showed that high levels of indoor bacterial and fungal concentrations were risk factors for respiratory discomfort among employees. The hazard quotient (HQ) values for all types of public places were less than 1, indicating that the health risk of microbial aerosol exposures for employees was relatively low. Conclusion The indoor microbial pollution in public places in Xi'an is relatively mild, but countermeasures still need to be taken to reduce indoor air microbial contamination.

AIM:To evaluate the optimal timing of preoperative intravitreal anti vascular endothelial growth factor(VEGF)therapy in proliferative diabetic retinopathy(PDR)using intraoperative fluorescein angiography(IOFA).METHODS:A retrospective case series study was conducted on patients who underwent vitrectomy for PDR with vitreous hemorrhage(VH)at Sichuan Provincial People's Hospital from January 2023 to February 2025. Patients were divided into three groups according to the interval between intravitreal conbercept injection and surgery: Group A(3 d before surgery), Group B(7 d before surgery), and Group C(14 d before surgery). IOFA was used to assess the number and size of retinal neovascularization(NV). Additional data were collected including preoperative best corrected visual acuity(BCVA), vitreous hemorrhage grading, operative time, frequency of intraoperative endodiathermy, duration of high perfusion pressure, vitreoretinal adhesion grade, postoperative BCVA, and central macular thickness(CMT). Multidimensional analyses were performed.RESULTS:This study enrolled a total of 91 patients(94 eyes)with PDR accompanied by vitreous hemorrhage. Among them, Group A consisted of 31 patients(31 eyes; 18 males, 13 females; mean age 53.26±12.38 y), Group B consisted of 34 patients(37 eyes; 21 males, 13 females; mean age 51.61±14.16 y), and Group C consisted of 26 patients(26 eyes; 18 males, 8 females; mean age 51.00±12.02 y), with baseline characteristics comparable among the three groups(all P>0.05). Comparative analysis of NV visualized via IOFA revealed that both the number and size of NVs were significantly lower in Groups B and C than in Group A(all P<0.0167), while no statistically significant differences were observed between Groups B and C(both P>0.05). No significant differences were found among the three groups regarding other intraoperative parameters, including operation time, frequency of electrocoagulation application, duration of high perfusion pressure, or grading of vitreoretinal adhesion(all P>0.05).CONCLUSION:IOFA confirms that preoperative anti-VEGF therapy administered 7 or 14 d before surgery is more effective than a 3 d interval in suppressing retinal NV activity in PDR patients.

Objective To construct 5 machine-learning models and compare their performance in predicting the associations between pre-pregnancy socio-psycho-behavioral exposures of both spouses and preconception outcomes.Methods Based on Chongqing Preconception Reproductive Health and Birth Outcome Cohort of volunteers recruited from Chongqing Health Center for Women and Children during January 2019 and March 2022,5 447 couples were recruited and surveyed through interviewer-interview for the demographic and social-psychological-behavioral data of both spouses(221 variables).According to the inclusion and exclusion criteria,4 097 couples were finally included,and randomly assigned into a training set(n=2 867 spouses)and a validation set(n=1 230 spouses)at a ratio of 7∶3.Feature analysis and collinear screening were applied to select the potential exposure factors.In consideration of difficulty to carry out semen parameters analysis in primary healthcare institutions,feature Set 1 including sperm parameters and feature Set 2 excluding semen parameters were constructed by including or excluding sperm quality simultaneously in the training set and the validation set.Five algorithms,that is,Logistic Regression,Naive Bayes,Random Forest,Gradient Boosting Machine,and Support Vector Machine,were used to construct preconception outcome prediction models,and the parameters of each model were optimized using random search combined with grid search.The predictive performance of each model was compared using precision,recall,F1 score,area under the receiver operating characteristic curve(AUC),and calibration curve.The optimal model was then selected by comparing the changes in the predictive ability of the questionnaire data for fertility outcomes with or without semen parameters.Results There were 24 variables screened out in feature Set 1,and 16 variables in feature Set 2.In feature Set 1,the gradient boosting machine performed better,with a relatively higher AUC value(0.651)and better F1 score(0.61).The logistic regression model performed stably(AUC value=0.647)and was suitable as the reference model.The random forest(AUC value=0.641),Naive Bayes(AUC value=0.641),and support vector machine(AUC value=0.634)performed second-best.By utilizing the gradient boosting machine,comparable results were found between the predictions from feature sets with or without semen parameters,as in feature Set 1,the AUC value of its validation set was 0.651(95%CI:0.629～0.681),the prediction accuracy was 0.63,the recall rate was 0.65,and the average precision value F1 was 0.61;and in feature Set 2,the AUC value of its validation set was 0.649(95%CI:0.624～0.663),and both the calibration curves were close to the ideal curve.The prediction results indicated that in feature Set 1,the features highly negatively correlated with preconception outcomes were female age,male age,and no pregnancy within 1 year without contraception,while the features highly positively correlated with preconception outcomes were female pregnancy history,total sperm vitality,and use of contraceptive measures before enrollment.Conclusion Among the 5 machine-learning algorithms performed in this cohort data,the gradient boosting machine shows slightly better performance.There are 24 factors being associated with preconception outcomes in both spouses,and the performance of the simplified model excluding semen parameters is not significantly declined.It is feasible to use machine-learning methods to predict human preconception outcomes through social-psychological-behavioral questionnaires.

Objective:To analyze the etiological composition and clinical characteristics of infant hypertension，and provide reference for its diagnosis and treatment.Methods:This is a retrospective case-control study.Retrospective investigation and analysis were conducted on the clinical data of infants discharged from Beijing Children's Hospital Affiliated to Capital Medical University with a diagnosis of "hypertension" from June 1，2016 to September 30，2021，including clinical manifestations，auxiliary examinations，treatment plans，and prognosis.Results:A total of 74 eligible children were collected，including 42 male infants（56.8%）and 32 female infants（43.2%）.A total of 67 cases（90.5%）had clear secondary factors，including 35 cases of kidney disease（47.3%），12 cases of connective tissue disease（16.2%），and 9 cases of hematological tumor disease（12.2%）.At the beginning of the disease，cardiac ultrasound showed that 54 cases（73.0%）had ventricular wall thickening，including mild thickening in 31 cases（57.4%），moderate thickening in 11 cases（20.3%），and severe thickening in 12 cases（22.2%）.After grouping by etiology，the incidence of proteinuria and severe hypertension in the renal hypertension group，as well as those receiving multiple antihypertensive drugs，was significantly higher than that in the non-renal hypertension group（ χ 2=28.493， P<0.001； χ 2=17.283， P<0.001； χ 2=17.358， P<0.001）；Renal disease was risk factor for severe hypertension in infants according to univariate and multivariate logistic regression analysis respectively（ OR=11.176，95% CI：2.882~43.339， P<0.001； OR=11.669，95% CI：2.921~46.624， P<0.001）.Thirty-one children had follow-up records for 6 months or more，and 13（41.9%）still required antihypertensive treatment，of whom 26（83.9%）were no longer recorded as having elevated blood pressure. Conclusion:Infant hypertension is mainly secondary，with a high proportion of renal factors and predisposition to severe hypertension，which requires multiple antihypertensive drugs for control.Active antihypertensive treatment and removal of secondary factors during the acute phase are helpful for controlling hypertension in infants，but further research is needed on treatment options and long-term prognosis.

Objective : To investigate the role and related mechanisms of IgD on the viability , proliferation , apoptosis , and other functions of Molm_13 cells. Methods: Peripheral blood serum was collected from AML patients and healthy controls. The sIgD levels were quantified by ELISA. For in vitro studies , Molm_13 cells were treated with varying concentrations of IgD. Cell viability and proliferation were assessed via CCK_8 assays , CFSE staining , and colony formation assays. Apoptosis rates were determined using an Annexin V/PI apoptosis detection kit. Preliminary exploration of the mechanisms related to IgD_induced proliferation of Molm_13 were analyzed through differential gene analysis. Results: Compared with healthy controls , the levels of sIgD in AML patients were significantly el_ evated (P < 0. 001 ) . IgD treatment dose_dependently increased Molm_13 cell viability and proliferation ( P < 0. 05) , inhibited apoptosis rates (P < 0. 001) . Conclusion IgD promotes the viability and proliferation of Molm_ 13 cells , and reduces apoptosis.

Whole blood transfusion for the resuscitation of trauma patients is not a new concept, with its history dating back to World War I. Due to the significant survival benefits of early intervention with whole blood, an increasing number of countries and regions are using whole blood for pre-hospital resuscitation of patients with traumatic haemorrhage. Whole blood containing low-titer anti-A and anti-B antibodies is known as low-titer group O whole blood. The safety of transfusion of low-titer group O whole blood has been proven in military and local trauma centers in some countries. The use of low-titer group O whole blood for pre-hospital trauma care in China will pose new challenges to blood stations that provide whole blood. This paper reviews the selection of group O donors, the setting of anti-A and anti-B titers threshold and their detection, as well as the collection, preparation and storage of whole blood.

Abelmoschi Corolla, the dried corolla of Abelmoschus manihot, has anti-inflammatory, antioxidant, and anti-fibrosis activities. Its chemical constituents mainly include flavonoids, organic acids, steroids, and polysaccharides. This study reviewed the research progress in the chemical constituents and pharmacological activities of Abelmoschi Corolla in recent 20 years. According to the concept of quality marker(Q-marker), the Q-markers of Abelmoschi Corolla were predicted from plant phylogeny, chemical constituent specificity, traditional efficacy, chemical constituent measurability, and absorbed constituents. The primary Q-markers for Abelmoschi Corolla were anticipated to include quercetin-3'-O-β-D-glucopyranoside, gossypetin-8-O-β-D-glucuronide, isoquercetin, myricetin,quercetin, and hyperoside, with the aim of providing reference data for improving the quality evaluation system of Abelmoschi Corolla.
Abelmoschus/chemistry* ; Drugs, Chinese Herbal/pharmacology* ; Flowers/chemistry* ; Humans ; Animals ; Quality Control ; Flavonoids/chemistry*

Coronary heart disease is a cardiovascular disease that affects coronary arteries. It presents high incidence and high mortality worldwide, bringing a serious threat to human health and quality of life. Salviae Miltiorrhizae Radix et Rhizoma derived from Salvia miltiorrhiza is widely used in the treatment of cardiovascular diseases, such as coronary heart disease. Salvianolic acid B is an active component in Salviae Miltiorrhizae Radix et Rhizoma extracts, and studies have shown that it has anti-inflammatory, antioxidant, apoptosis-and autophagy-regulating, anti-fibrosis, and metabolism-modulating effects. This article reviews the research progress regarding the therapeutic effect of salvianolic acid B on coronary heart disease in the recent decade. It elaborates on the role and mechanism of salvianolic acid B in treating coronary heart disease from multiple perspectives, such as the inhibition of thrombosis, improvement of blood circulation, reduction of myocardial cell injury, and inhibition of cardiac remodeling. This article provides a theoretical basis for the application of Chinese medicinal materials and TCM prescriptions containing salvianolic acid B in the treatment of coronary heart disease.
Humans ; Benzofurans/administration & dosage* ; Coronary Disease/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Salvia miltiorrhiza/chemistry* ; Animals ; Depsides

The interactions between microorganisms and medicinal plants are crucial to the quality improvement of medicinal plants. Medicinal plants attract microorganisms to colonize by secreting specific compounds and provide niche and nutrient support for these microorganisms, with a symbiotic network formed. These microorganisms grow in the rhizosphere, phyllosphere, and endophytic tissues of plants and significantly improve the growth performance and medicinal component accumulation of medicinal plants by promoting nutrient uptake, enhancing disease resistance, and regulating the synthesis of secondary metabolites. Microorganisms are also widely used in the ecological planting of medicinal plants, and the growth conditions of medicinal plants are optimized by simulating the microbial effects in the natural environment. The interactions between microorganisms and medicinal plants not only significantly improve the yield and quality of medicinal plants but also enhance their geoherbalism, which is in line with the concept of green agriculture and eco-friendly development. This study reviewed the research results on the interactions between medicinal plants and microorganisms in recent years and focused on the analysis of the great potential of microorganisms in optimizing the growth environment of medicinal plants, regulating the accumulation of secondary metabolites, inducing systemic resistance, and promoting the ecological planting of medicinal plants. It provides a scientific basis for the research on the interactions between medicinal plants and microorganisms, the research and development of microbial agents, and the application of microorganisms in the ecological planting of medicinal plants and is of great significance for the quality improvement of medicinal plants and the green and sustainable development of TCM resources.
Plants, Medicinal/metabolism* ; Bacteria/genetics* ; Symbiosis