Objective:To construct and validate a clinical model combining CYP11B2 gene polymorphisms with clinical parameters to predict complete postoperative hypertension remission in primary aldosteronism patients.Methods:The clinical data of a total of 116 patients with primary aldosteronism who underwent unilateral adrenalectomy from April 2018 to August 2024 were retrospectively included. There were 63 males and 53 females，with a body mass index（BMI）of（25.50 ± 2.03）kg/m 2. Genomic DNA was extracted from venous blood leukocytes before surgery，and polymerase chain reaction-restriction fragment length polymorphisms（PCR-RFLP）were used to detect CYP11B2（rs1799998）promoter region 344（C > T）base substitution. The follow-up duration was more than 6 months，with the following parameters recorded at the last follow-up：plasma aldosterone，renin，serum potassium，and sodium levels. Blood pressure progression and antihypertensive medication usage were also assessed. The postoperative outcome was determined according to the Primary Aldosteronism Surgical Outcome score（PASO）for primary aldosteronism，and the specific criteria were as follows. ① Clinical complete remission：the patient's blood pressure returned to normal（< 140/90 mmHg，1 mmHg = 0.133 kPa）and all antihypertensive drugs were discontinued；②Partial clinical remission：blood pressure returns to normal，and the number or dose of antihypertensive drugs is reduced compared with before；③Clinical non-remission：blood pressure does not drop and antihypertensive drugs do not change or increase compared with before surgery. Patients were divided into complete and incomplete remission groups. The chi-square test was used for univariate analysis，followed by binary logistic forward conditional regression for multivariate analysis，and a variety of machine learning algorithms such as random forest，logistic regression，support vector machine and gradient lifter were integrated，and the results of multivariate analysis were included to construct a postoperative blood pressure outcome model，and the predictive performance of the model was evaluated by using receiver operating characteristic（ROC）curve，calibration curve and clinical decision curve. Results:The PCR-RFLP detection results of 116 cases showed the genotype distribution of CYP11B2（344C > T）（rs1799998）as follows：CC type in 50 cases（43.1%），CT type in 46 cases（39.7%），and TT type in 20 cases（17.3%）. There were 74 cases in the complete remission group and 42 cases in the incomplete remission group，and the rate of complete remission with hypertension at the end of the operation was 63.8%. Univariate analysis showed that the the differences between complete remission group and incomplete remission group in body mass index［（24.27 ± 2.90）kg/m 2 vs.（26.98 ± 3.17）kg/m 2， P<0.001］，preoperative hypertension grade（grade 1/2/3：29/29/16 cases vs. 9/13/20 cases， P = 0.012），preoperative antihypertensive drugs（0/1/≥ 2：25/32/17 cases vs. 7/15/20 cases， P = 0.016），and CYP11B2（344C > T）（CC/TT + CT：39/35 cases vs. 11/31 cases， P = 0.006）were statistically significant. Multivariate analysis showed that the type of preoperative antihypertensive drugs［≥ 2： OR = 5.26（95% CI 1.12?24.61， P = 0.016；1： OR = 4.55（95% CI 1.23?22.47）， P = 0.025］was the strongest independent predictor，followed by CYP11B2（344C > T）［ OR = 4.02（95% CI 1.16?13.82）， P = 0.028］and BMI［ OR = 3.96（95% CI 2.26?6.92）， P < 0.001］. Comparing the receiver operating feature（ROC）curves of the four types of machine learning models，the best model was the support vector machine model with an area under the curve（AUC）of 0.88（95% CI 0.82?0.95），followed by the gradient elevator model of 0.83（95% CI 0.76?0.91），the logistic regression model of 0.78（95% CI 0.68?0.88），and the random forest model of 0.77（95% CI 0.68?0.86）. The optimal threshold of the Yoden index of the support vector machine model was 0.588，with a sensitivity of 78.5% and a specificity of 86.5%. The clinical decision curve and calibration curve show that the support vector machine model has a higher net benefit and acceptable stability and reliability. Conclusions:The support vector machine model incorporating CYP11B2 gene polymorphisms，BMI，and types of preoperative antihypertensive medications could effectively predict postoperative hypertension remission in primary aldosteronism patients，providing new evidence for personalized treatment strategies

Objective:To construct and validate a clinical model combining CYP11B2 gene polymorphisms with clinical parameters to predict complete postoperative hypertension remission in primary aldosteronism patients.Methods:The clinical data of a total of 116 patients with primary aldosteronism who underwent unilateral adrenalectomy from April 2018 to August 2024 were retrospectively included. There were 63 males and 53 females，with a body mass index（BMI）of（25.50 ± 2.03）kg/m 2. Genomic DNA was extracted from venous blood leukocytes before surgery，and polymerase chain reaction-restriction fragment length polymorphisms（PCR-RFLP）were used to detect CYP11B2（rs1799998）promoter region 344（C > T）base substitution. The follow-up duration was more than 6 months，with the following parameters recorded at the last follow-up：plasma aldosterone，renin，serum potassium，and sodium levels. Blood pressure progression and antihypertensive medication usage were also assessed. The postoperative outcome was determined according to the Primary Aldosteronism Surgical Outcome score（PASO）for primary aldosteronism，and the specific criteria were as follows. ① Clinical complete remission：the patient's blood pressure returned to normal（< 140/90 mmHg，1 mmHg = 0.133 kPa）and all antihypertensive drugs were discontinued；②Partial clinical remission：blood pressure returns to normal，and the number or dose of antihypertensive drugs is reduced compared with before；③Clinical non-remission：blood pressure does not drop and antihypertensive drugs do not change or increase compared with before surgery. Patients were divided into complete and incomplete remission groups. The chi-square test was used for univariate analysis，followed by binary logistic forward conditional regression for multivariate analysis，and a variety of machine learning algorithms such as random forest，logistic regression，support vector machine and gradient lifter were integrated，and the results of multivariate analysis were included to construct a postoperative blood pressure outcome model，and the predictive performance of the model was evaluated by using receiver operating characteristic（ROC）curve，calibration curve and clinical decision curve. Results:The PCR-RFLP detection results of 116 cases showed the genotype distribution of CYP11B2（344C > T）（rs1799998）as follows：CC type in 50 cases（43.1%），CT type in 46 cases（39.7%），and TT type in 20 cases（17.3%）. There were 74 cases in the complete remission group and 42 cases in the incomplete remission group，and the rate of complete remission with hypertension at the end of the operation was 63.8%. Univariate analysis showed that the the differences between complete remission group and incomplete remission group in body mass index［（24.27 ± 2.90）kg/m 2 vs.（26.98 ± 3.17）kg/m 2， P<0.001］，preoperative hypertension grade（grade 1/2/3：29/29/16 cases vs. 9/13/20 cases， P = 0.012），preoperative antihypertensive drugs（0/1/≥ 2：25/32/17 cases vs. 7/15/20 cases， P = 0.016），and CYP11B2（344C > T）（CC/TT + CT：39/35 cases vs. 11/31 cases， P = 0.006）were statistically significant. Multivariate analysis showed that the type of preoperative antihypertensive drugs［≥ 2： OR = 5.26（95% CI 1.12?24.61， P = 0.016；1： OR = 4.55（95% CI 1.23?22.47）， P = 0.025］was the strongest independent predictor，followed by CYP11B2（344C > T）［ OR = 4.02（95% CI 1.16?13.82）， P = 0.028］and BMI［ OR = 3.96（95% CI 2.26?6.92）， P < 0.001］. Comparing the receiver operating feature（ROC）curves of the four types of machine learning models，the best model was the support vector machine model with an area under the curve（AUC）of 0.88（95% CI 0.82?0.95），followed by the gradient elevator model of 0.83（95% CI 0.76?0.91），the logistic regression model of 0.78（95% CI 0.68?0.88），and the random forest model of 0.77（95% CI 0.68?0.86）. The optimal threshold of the Yoden index of the support vector machine model was 0.588，with a sensitivity of 78.5% and a specificity of 86.5%. The clinical decision curve and calibration curve show that the support vector machine model has a higher net benefit and acceptable stability and reliability. Conclusions:The support vector machine model incorporating CYP11B2 gene polymorphisms，BMI，and types of preoperative antihypertensive medications could effectively predict postoperative hypertension remission in primary aldosteronism patients，providing new evidence for personalized treatment strategies

Epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) positively affect the initial control of non-small cell lung cancer (NSCLC). Rapidly acquired resistance to EGFR-TKIs is a major hurdle in successful treatment. However, the mechanisms that control the resistance of EGFR-TKIs remain largely unknown. RNA structures have widespread and crucial functions in many biological regulations; however, the functions of RNA structures in regulating cancer drug resistance remain unclear. Here, the psoralen analysis of RNA interactions and structures (PARIS) method is used to establish the higher-order RNA structure maps of EGFR-TKIs-resistant and -sensitive cells of NSCLC. Our results show that RNA structural regions are enriched in untranslated regions (UTRs) and correlate with translation efficiency (TE). Moreover, yrdC N⁶-threonylcarbamoyltransferase domain containing (YRDC) promotes resistance to EGFR-TKIs. RNA structure formation in YRDC 3' UTR suppresses embryonic lethal abnormal vision-like 1 (ELAVL1) binding, leading to EGFR-TKI sensitivity by impairing YRDC translation. A potential therapeutic strategy for cancer treatment is provided using antisense oligonucleotide (ASO) to perturb the interaction between RNA and protein. Our study reveals an unprecedented mechanism through which the RNA structure switch modulates EGFR-TKI resistance by controlling YRDC mRNA translation in an ELAVL1-dependent manner.
Humans ; Carcinoma, Non-Small-Cell Lung/genetics* ; Cell Line, Tumor ; Drug Resistance, Neoplasm/genetics* ; ErbB Receptors/metabolism* ; GTP-Binding Proteins/therapeutic use* ; Lung Neoplasms/genetics* ; Mutation ; Protein Kinase Inhibitors/therapeutic use* ; RNA ; RNA-Binding Proteins/genetics* ; Tyrosine Kinase Inhibitors/therapeutic use*

Objective To investigate the effect of enteral microecopharmaceutics nutrition supplement (EMN) on incidence of ventilator associated pneumonia complications,inflammatory responses,and prognoses in patients with severe traumatic brain injury (sTBI) undergoing ventilator therapy.Methods From January 2016 to September 2017,70 patients with sTBI were randomly divided into an experimental group (EMN supplement,n=35) and a control group (n=35).Early enteral nutrition was given to patients from both groups,and bifidobacterium viable capsule was given to patients from the experimental group.Glasgow Coma Scale (GCS) scores,acute physiological and chronic health evaluation (APACHE) II scores,number of white blood cells (WBC),proportion of neutrophil (N),and serum levels of procalcitonin (PCT) and C-reactive protein (CRP) were compared between the two groups on admission and 14 d after treatment.The incidence of VAP and clinical pulmonary infection scale (CPIS) scores,pulmonary function,mechanical ventilation time and hospital stays were compared 14 d after treatment.Results The incidence of VAP in the experimental group (n=17,51％) 14 d after EMN supplement was significantly lower as compared with that in the control group (n=22,63％,P＜0.05).Meanwhile,VAP patients from the experimental group had significantly lower CPIS scores as compared with patients from control group (P＜0.05).Ventilator weaning was achieved in 29 patients from experimental group (83％) and 24 patients from control group (69％),with significant difference (P＜0.05);ventilator weaning patients from the experimental group had significantly improved lung function as compared with ventilator weaning patients from control group (P＜0.05).WBC number,N proportion,and serum PCT and CRP levels in the experimental group were significantly smaller/decreased as compared with those in the control group (P＜0.05).As compared with patients from control group,patients from the experimental group had significantly higher GCS scores (8.35±0.51 vs.9.48±0.48,P＜0.05) and significantly lower APACHE II scores (12.58±0.78 vs.14.68±0.97,P＜0.05).Conclusion EMN supplement can effectively reduce the VAP incidence,alleviate the degree of infection and inflammatory response in patients with sTBI undergoing ventilator therapy,therefore,improve the prognosis;this method is worth of promotion.

Objective To investigate the effects of enteral nutrition added with glutamine on the incidences of gastrointestinal complications,intestinal mucosal barrier function and inflammatory responses in patients with acute severe traumatic brain injury (sTBI).Methods A prospective case control study was made on 107 patients with sTBI hospitalized from January 2016 to June 2017.The patients were divided into experimental group added with glutamine (n =54) and control group without glutamine (n =53) according to the random number table.The general data of the patients were recorded.After treatment,the incidences of gastrointestinal complications in both groups were compared.The serum levels of intestinal mucosal barrier function indices,namely,diamine oxidase (DAO),Dlactate acid,and intestinal fat acid binding protein (I-FABP) were evaluated by enzymology spectrophotometer method.Meanwhile,the serum levels of C-reactive protein (CRP),tumor necrosis factor-α (TNF-α),and interleukin-6 (IL-6) were also tested with enzyme-linked immunosorbent assay (ELISA).Glasgow coma scale (GCS),acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ),and hospital stay in both groups were compared.Results The two group were comparable with respect to gender,age,injury reasons,body mass index,preoperative GCS,preoperative APACHE Ⅱ,injury type and injury time (P ＞ 0.05).The experimental group had lower incidences of stress ulcer,gastric retention and diarrhea compared with the control group 14 days after treatment (P ＜ 0.05).Within 14 days after treatment,the serum levels of DAO,D-lactate acid and I-FABP were significantly decreased in the experimental group at days 7 and 14 after treatment (P ＜ 0.05).The serum levels of CRP,TNF-α and IL-6 in the experimental group were significantly decreased after treatment (P ＜ 0.05).The experimental group had better prognosis compared with the control group (P ＜ 0.05),with higher GCS scores [(9.3 ± 0.7) points vs.(8.2 ± 0.7) points],lower APACHE Ⅱ scores [(15.3 ± 1.1) points vs.(17.7 ± 1.2) points] at day 14,and shorter hospital stay [(19.1 ± 2.2) days vs.(25.3 ± 2.4) days] (P ＜ 0.01).Conclusions Enteral nutrition added with glutamine can effectively reduce the incidence of gastrointestinal complications,as well as alleviate the intestinal mucosal barrier function damage and the inflammatory responses at early stage after sTBI,which possibly improves prognosis.