Objective:Using Mendelian randomization analysis to investigate the unidirectional causal effects of gut microbiota on gout and serum uric acid levels.Methods:The Mendelian randomization analysis was conducted using summary statistics from genome-wide association studies (GWAS). The gut microbiota was used as the exposure factor, with gout and serum uric acid levels as the outcomes, utilizing the MiBioGen Consortium, FinnGen GWAS, and CKDGen Consortium meta-analysis databases. The analysis was performed using inverse variance weighted (IVW) method, MR-Egger, and weighted median (WM) approach. Additionally, sensitivity analysis was conducted by excluding heterogeneity and horizontal pleiotropy. This study used RStudio 4.3.1 software for analysis.Results:The IVW results confirmed that 17 microbiota taxa were associated with gout, including class Verrucomicrobiaceae [ OR(95% CI)=1.162(1.004, 1.344), P=0.044], family Verrucomicrobiaceae [ OR(95% CI)=1.161(1.004, 1.344), P=0.044], genus Akkermansia [ OR(95% CI)=1.162(1.004, 1.344), P=0.044], genus Collinsella [ OR(95% CI)=1.257(1.043, 1.516), P=0.016], genus Eubacterium hallii group [ OR(95% CI)=1.226(1.022, 1.471), P=0.027], genus Howardella [ OR(95% CI)=1.094(1.001, 1.195), P=0.046], genus Ruminococcaceae UCG010 [ OR(95% CI)=1.317(1.089, 1.593), P=0.004], order Clostridiales [ OR(95% CI)=1.182(1.007,1.387), P=0.041], order Verrucomicrobiales [ OR(95% CI)=1.162(1.004, 1.344), P=0.044], class Melainabacteria [ OR(95% CI)=0.894(0.804, 0.994), P=0.038], family Streptococcaceae [ OR(95% CI)=0.851(0.727, 0.996), P=0.044], unknown family [ OR(95% CI)=0.890(0.800, 0.989), P=0.030], genus Streptococcus [ OR(95% CI)=0.836(0.710, 0.983), P=0.030], unknown genus [ OR(95% CI)=0.890(0.800, 0.989), P=0.030], genus Victivallis [ OR(95% CI)=0.857(0.736, 0.998), P=0.046], order Gastranaerophilales [ OR(95% CI)=0.890(0.800,0.989), P=0.030], and phylum Bacteroidetes [ OR(95% CI)=0.827(0.692, 0.989), P=0.037]. Additionally, 5 microbiota taxa were associated with serum uric acid levels: phylum Actinobacteria [ OR(95% CI)=0.963(0.925, 0.992), P=0.027], family ⅩⅢ [ OR(95% CI)=0.965(0.932, 1.008), P=0.035], genus Escherichia Shigella [ OR(95% CI)=1.047(1.005,1.089), P=0.034], genus Lachnospiraceae FCS020 group [ OR(95% CI)=0.974(0.941, 1.003), P=0.028], and genus Lachnospiraceae NC2004 group [ OR(95% CI)=0.966(0.943, 0.995), P=0.018]. No abnormalities in SNPs were found in the sensitivity analysis. Conclusion:An increase in the levels of class Verrucomicrobiae, family Verrucomicrobiaceae, genus Akkermansia, and genus Escherichia Shigella is associated with an increased risk of gout or serum uric acid levels, while an increase in the levels of class Melainabacteria, family Streptococcaceae, unknown family, phylum Actinobacteria, and family ⅩⅢ is associated with a decreased risk of gout or serum uric acid levels.

The dysregulation of cyclin-dependent kinase 12(CDK12),which may result from genomic alterations or modulation by upstream effectors,is implicated in cancer oncogenesis and progression.CDK12 over-expression or activation is sufficient to induce tumor initiation,recurrence,and therapeutic resistance.However,CDK12 may also exert tumor-suppressive functions in a context-dependent manner.Therefore,caution is warranted when targeting CDK12 in future clinical trials.A comprehensive elucidation of the dual roles and underlying mechanisms of CDK12 in carcinogenesis is urgently needed to advance pre-cision oncology.This review provides an overview of the current understanding of the dysregulation and biological roles of CDK12 in cancer.Subsequently,we systematically summarize the functions and mechanisms of the oncogenic and tumor-suppressive roles of CDK12 in different contexts.Finally,we discuss the potential of CDK12 as a novel therapeutic target and its implications in clinical oncology,offering insights into future directions for innovative cancer treatment strategies.

The dysregulation of cyclin-dependent kinase 12 (CDK12), which may result from genomic alterations or modulation by upstream effectors, is implicated in cancer oncogenesis and progression. CDK12 overexpression or activation is sufficient to induce tumor initiation, recurrence, and therapeutic resistance. However, CDK12 may also exert tumor-suppressive functions in a context-dependent manner. Therefore, caution is warranted when targeting CDK12 in future clinical trials. A comprehensive elucidation of the dual roles and underlying mechanisms of CDK12 in carcinogenesis is urgently needed to advance precision oncology. This review provides an overview of the current understanding of the dysregulation and biological roles of CDK12 in cancer. Subsequently, we systematically summarize the functions and mechanisms of the oncogenic and tumor-suppressive roles of CDK12 in different contexts. Finally, we discuss the potential of CDK12 as a novel therapeutic target and its implications in clinical oncology, offering insights into future directions for innovative cancer treatment strategies.

Objectives:To evaluate preoperative imaging anatomic characteristics and risk stratification in patients with pure aortic regurgitation(PAR)who underwent transcatheter aortic valve replacement(TAVR).Methods:A total of 156 consecutive patients with moderate or severe PAR who underwent TAVR from January 2018 to June 2023 in Fujian Provincial Hospital were enrolled.Pre-procedural aortic root computed tomography scans of the patients were analyzed to summarize anatomical risk points and typing.The clinical baseline data,perioperative data,and postoperative 12-month adverse events during follow-up of patients with different typing were compared.Results:The mean age of the 156 PAR patients treated with TAVR was(72.8±6.4)years,69.2%were male,and the STS score was(7.7±2.0)%.The proportion of PAR patients with simple,general and challenging lesions was 9.0%,37.8%and 53.2%,respectively.Results showed that enrolled patients with PAR treated with TAVR were at high risk of valve displacement(47.4%),and the risk of perivalvular leakage(26.9%),ascending aortic dilatation(26.9%),low coronary artery opening(37.2%)and transverse heart(23.7%)were also common.The risk of valve displacement and perivalvular leakage were significantly higher in PAR patients with challenging lesions.The risk of perioperative complications was significantly higher in patients with challenging and general lesions than in patients with simple lesions,and the most common complications were new left bundle branch block and pacemaker implantation.The 12-month adverse event rates after TAVR in PAR patients with simple,general,and challenge lesions were 0%,15.3%,and 32.5%,respectively,and the difference was statistically significant(P=0.004).Multivariate logistic regression analysis showed that PAR patients with challenging lesions had a significantly higher risk of multiple endpoint events 12 months after surgery than those with non-challenging lesions(OR=3.38,95%CI:1.48-8.38,P=0.006).Conclusions:Careful assessment of anatomic risk typing by preoperative imaging in PAR patients undergoing TAVR is important for risk stratification of perioperative complications as well as adverse events during follow-up.

Objectives:To evaluate preoperative imaging anatomic characteristics and risk stratification in patients with pure aortic regurgitation(PAR)who underwent transcatheter aortic valve replacement(TAVR).Methods:A total of 156 consecutive patients with moderate or severe PAR who underwent TAVR from January 2018 to June 2023 in Fujian Provincial Hospital were enrolled.Pre-procedural aortic root computed tomography scans of the patients were analyzed to summarize anatomical risk points and typing.The clinical baseline data,perioperative data,and postoperative 12-month adverse events during follow-up of patients with different typing were compared.Results:The mean age of the 156 PAR patients treated with TAVR was(72.8±6.4)years,69.2%were male,and the STS score was(7.7±2.0)%.The proportion of PAR patients with simple,general and challenging lesions was 9.0%,37.8%and 53.2%,respectively.Results showed that enrolled patients with PAR treated with TAVR were at high risk of valve displacement(47.4%),and the risk of perivalvular leakage(26.9%),ascending aortic dilatation(26.9%),low coronary artery opening(37.2%)and transverse heart(23.7%)were also common.The risk of valve displacement and perivalvular leakage were significantly higher in PAR patients with challenging lesions.The risk of perioperative complications was significantly higher in patients with challenging and general lesions than in patients with simple lesions,and the most common complications were new left bundle branch block and pacemaker implantation.The 12-month adverse event rates after TAVR in PAR patients with simple,general,and challenge lesions were 0%,15.3%,and 32.5%,respectively,and the difference was statistically significant(P=0.004).Multivariate logistic regression analysis showed that PAR patients with challenging lesions had a significantly higher risk of multiple endpoint events 12 months after surgery than those with non-challenging lesions(OR=3.38,95%CI:1.48-8.38,P=0.006).Conclusions:Careful assessment of anatomic risk typing by preoperative imaging in PAR patients undergoing TAVR is important for risk stratification of perioperative complications as well as adverse events during follow-up.

Objective:Using Mendelian randomization analysis to investigate the unidirectional causal effects of gut microbiota on gout and serum uric acid levels.Methods:The Mendelian randomization analysis was conducted using summary statistics from genome-wide association studies (GWAS). The gut microbiota was used as the exposure factor, with gout and serum uric acid levels as the outcomes, utilizing the MiBioGen Consortium, FinnGen GWAS, and CKDGen Consortium meta-analysis databases. The analysis was performed using inverse variance weighted (IVW) method, MR-Egger, and weighted median (WM) approach. Additionally, sensitivity analysis was conducted by excluding heterogeneity and horizontal pleiotropy. This study used RStudio 4.3.1 software for analysis.Results:The IVW results confirmed that 17 microbiota taxa were associated with gout, including class Verrucomicrobiaceae [ OR(95% CI)=1.162(1.004, 1.344), P=0.044], family Verrucomicrobiaceae [ OR(95% CI)=1.161(1.004, 1.344), P=0.044], genus Akkermansia [ OR(95% CI)=1.162(1.004, 1.344), P=0.044], genus Collinsella [ OR(95% CI)=1.257(1.043, 1.516), P=0.016], genus Eubacterium hallii group [ OR(95% CI)=1.226(1.022, 1.471), P=0.027], genus Howardella [ OR(95% CI)=1.094(1.001, 1.195), P=0.046], genus Ruminococcaceae UCG010 [ OR(95% CI)=1.317(1.089, 1.593), P=0.004], order Clostridiales [ OR(95% CI)=1.182(1.007,1.387), P=0.041], order Verrucomicrobiales [ OR(95% CI)=1.162(1.004, 1.344), P=0.044], class Melainabacteria [ OR(95% CI)=0.894(0.804, 0.994), P=0.038], family Streptococcaceae [ OR(95% CI)=0.851(0.727, 0.996), P=0.044], unknown family [ OR(95% CI)=0.890(0.800, 0.989), P=0.030], genus Streptococcus [ OR(95% CI)=0.836(0.710, 0.983), P=0.030], unknown genus [ OR(95% CI)=0.890(0.800, 0.989), P=0.030], genus Victivallis [ OR(95% CI)=0.857(0.736, 0.998), P=0.046], order Gastranaerophilales [ OR(95% CI)=0.890(0.800,0.989), P=0.030], and phylum Bacteroidetes [ OR(95% CI)=0.827(0.692, 0.989), P=0.037]. Additionally, 5 microbiota taxa were associated with serum uric acid levels: phylum Actinobacteria [ OR(95% CI)=0.963(0.925, 0.992), P=0.027], family ⅩⅢ [ OR(95% CI)=0.965(0.932, 1.008), P=0.035], genus Escherichia Shigella [ OR(95% CI)=1.047(1.005,1.089), P=0.034], genus Lachnospiraceae FCS020 group [ OR(95% CI)=0.974(0.941, 1.003), P=0.028], and genus Lachnospiraceae NC2004 group [ OR(95% CI)=0.966(0.943, 0.995), P=0.018]. No abnormalities in SNPs were found in the sensitivity analysis. Conclusion:An increase in the levels of class Verrucomicrobiae, family Verrucomicrobiaceae, genus Akkermansia, and genus Escherichia Shigella is associated with an increased risk of gout or serum uric acid levels, while an increase in the levels of class Melainabacteria, family Streptococcaceae, unknown family, phylum Actinobacteria, and family ⅩⅢ is associated with a decreased risk of gout or serum uric acid levels.

Objectives:To investigate the effect of body mass index(BMI)on perioperative and long-term prognosis of patients with severe aortic stenosis(AS)after transcatheter aortic valve replacement(TAVR). Methods:This retrospective study imcluded 180 patients with severe AS who received TAVR in Fujian Provincial Hospital from January 2019 to January 2022.According to the BMI,patients were divided into four groups:low weight group(BMI<18.5 kg/m2,n=23),normal weight group(18.5 kg/m2≤BMI<24.0 kg/m2,n=65),overweight group(24.0 kg/m2≤BMI<28.0 kg/m2,n=57),obesity group(BMI≥28.0 kg/m2,n=35).The general clinical characteristics,imaging parameters,perioperative indexes,all-cause death and the incidence of other adverse cardiac events during(18.0±6.8)months follow-up were compared among different groups.Risk factors for the perioperative complications and long-term outcomes of TAVR were evaluated. Results:The prevalence of hypertension and diabetes,left ventricular end-diastolic diameter,ventricular septal thickness and left ventricular posterior wall thickness were significantly higher in the obese group than in normal weight group(all P<0.05).The level of prealbumin in low weight group was lower than in normal weight group(P<0.05).The total perioperative complications in low weight group were higher than in normal weight group(60.9%vs.12.3%,P=0.042).During(18.0±6.8)months follow-up,the incidence of all-cause death in the low weight group was significantly higher than that in normal weight group,overweight group and obese group(17.4%vs.4.6%vs.3.5%vs.5.7%,P=0.003).Kaplan-Meier survival analysis evidenced higher mortality rate in low weight group at 18 months after TAVR(log-rank P<0.01).Multivariate Cox regression analysis showed that the risk of long-term adverse cardiovascular events was significantly higher in low weight group than in normal weight group(HR=7.633,95%CI:1.012-57.564,P=0.049). Conclusions:Low weight patients with severe AS have a higher incidence of perioperative complications and a poor long-term prognosis.Such patients should appropriately strengthen their nutritional intake and adjust their body weight to normal levels before performing TAVR.

Objectives:To evaluate the learning curve of transcatheter aortic valve replacement(TAVR)in a single center by single operator using Venus A valve. Methods:A total of 150 patients with severe aortic stenosis who underwent TAVR using Venus A valve in Fujian Provincial Hospital from July 2018 to May 2022 were selected.According to the time order of TAVR,the 1st-50th patients were included in group A,the 51st-100th patients were included in group B and the 101st-150th patients were included in group C.The basic clinical data,perioperative parameters and postoperative follow-up data of the three groups were analyzed. Results:All high-risk patients with severe aortic stenosis had an average STS score(7.9±1.5)and were treated with Venus A valve.The total operation time of group A,group B and group C was(226.2±86.3)min,(115.2±47.1)min,(108.2±38.1)min;the peripheral path operation time was(45±10)min,(20±7)min,(18±6)min;the valve release time was(13.0±2.3)min,(5.0±2.1)min,(3.0±1.7)min;the X-ray fluoroscopy time was(24±8)min,(11±5)min,(10±3)min;the radiation dose was(1 266±227)mGy,(532±132)mGy,(519±108)mGy;and the total incidence of perioperative adverse events was 46%,18%,16%,respectively.The differences were statistically significant(all P<0.05).The total incidence of adverse events during follow-up within 6 months for patients in group A,group B,and group C were 6%,2%,and 0%(P>0.05).With the increase of TAVR cases,the correlation curve of each time node of TAVR and radiation dose tended to be stable after the 50th-60th cases. Conclusions:With the increase of procedural experience,the total operation time,operative time nodes,radiation dose and perioperative adverse events of TAVR with Venus A valve decreases gradually,and the operator usually needs 50-60 cases to cross the TAVR learning curve.

Objective:To improve the prognosis stratification, especially early mortality(EM), of elderly patients with newly diagnosed multiple myeloma(NDMM).Methods:In this retrospective study, univariate and multivariate Cox regression analysis were conducted to identify the independent prognostic factors associated with overall survival(OS)and the chi-square test and multivariate Logistic analysis were used to identify the prognostic factors associated with EM in 223 elderly patients(age≥65 years)with NDMM from three centers in the country.Results:Increased NT-pro-BNP(≥300 pg/ml), ECOG-PS≥2 and stage Ⅲ R-ISS were identified as three independent adverse prognostic factors of OS.The rates of EM3, EM6, EM12 and EM24 were 12.1%, 20.1%, 32.2% and 60%, respectively.The most common cause for EM6(particularly EM3)was disease-related complications resulting from ineligibility for treatment due to poor physical performance, severe organ dysfunction or treatment discontinuation due to treatment intolerance, while the most common cause for EM12(particularly EM24)was disease progression or relapse mainly as a result of inadequate treatment.R-ISS staging failed to predict EM, while decreased eGFR, ECOG-PS≥2, and increased NT-pro-BNP were able to estimate the risk of EM, with increased NT-pro-BNP as a common independent factor for EM12( P=0.03)and EM24( P=0.015). Conclusions:R-ISS staging, which primarily reflects MM biology, cannot predict EM.However, factors such as NT-pro-BNP, eGFR and ECOG-PS associated with frailty and impairment of organ functions can be used to estimate the risk of EM, among which NT-pro-BNP may be the most important independent factor for EM.Therefore, incorporation of these frailty-related biomarkers into R-ISS staging may be able to more precisely estimate the prognosis and particularly early death of elderly patients with NDMM.

Objective:This study aims to investigate the prevalence and distribution characteristics of mental disorders among people aged 18 and above in Shandong Province.Methods:In 2015, an epidemiological survey was carried out to investigate the patterns of mental disorders in 49 counties of Shandong Province. A total of 28 000 individuals aged 18 years or older were selected using the multistage stratified cluster sampling method. All these participants were classified as at a high or low risk of mental disorders according to the assessment results of the revised version of the General Health Questionnaire (GHQ). The diagnosis of mental disorders was confirmed using the Structured Clinical Interview for Diagnostic and Statistical Manual, Forth edition (DSM-Ⅳ) axis I or MMSE. All participants at high risk of mental disorders were evaluated using DSM-Ⅳ or MMSE to confirm the psychiatric diagnoses, while 10% of participants at low risk of mental disorders were randomly selected to be evaluated. The prevalence and its 95% confidence interval of mental disorders were adjusted according to study design and sociodemographic characteristics of the sample. The between-group differences of prevalence were compared using chi-square tests or Fisher′s exact tests as appropriately.Results:A total of 27 489 individuals completed survey. The adjusted prevalence of any mental disorder was 17.46% (95 %CI 17.02%-17.89%). The five most prevalent mental disorder spectrums were substance use disorders (5.29%), mood disorders (4.47%), anxiety disorders (4.46%), intellectual and mental disorders due to physical or substance (1.91%), and psychotic disorders (1.12%). The most common mental disorders were alcohol use disorder (5.27%) and major depressive disorder (2.14%). The prevalence of mental disorders in men was higher than that in women (23.37% vs. 13.89%; χ 2=408.91, P<0.01). There was no significant difference in the prevalence of mental disorders between rural residents and urban residents (17.69% vs. 17.20%; χ2=1.05, P=0.305). Of participants with mental disorders, 26.12% (1 047/4 008) had moderate to severe functional impairment and 10.98% (428/3 898) have sought professional help. Conclusion:The prevalence of mental disorders among people aged 18 and above in Shandong Province is basically consistent with the results of similar domestic studies. The prevalence of mental disorder was higher in men than in women and was not differ in participants living in urban and rural areas. Alcohol use disorder, major depressive disorder, non-specific anxiety disorder and non-specific depressive disorder are most common mental disorders.