An integrated finite element method and machine learning algorithm for brain morphology prediction.

The human brain development experiences a complex evolving cortical folding from a smooth surface to a convoluted ensemble of folds. Computational modeling of brain development has played an essential role in better understanding the process of cortical folding, but still leaves many questions to be answered. A major challenge faced by computational models is how to create massive brain developmental simulations with affordable computational sources to complement neuroimaging data and provide reliable predictions for brain folding. In this study, we leveraged the power of machine learning in data augmentation and prediction to develop a machine-learning-based finite element surrogate model to expedite brain computational simulations, predict brain folding morphology, and explore the underlying folding mechanism. To do so, massive finite element method (FEM) mechanical models were run to simulate brain development using the predefined brain patch growth models with adjustable surface curvature. Then, a GAN-based machine learning model was trained and validated with these produced computational data to predict brain folding morphology given a predefined initial configuration. The results indicate that the machine learning models can predict the complex morphology of folding patterns, including 3-hinge gyral folds. The close agreement between the folding patterns observed in FEM results and those predicted by machine learning models validate the feasibility of the proposed approach, offering a promising avenue to predict the brain development with given fetal brain configurations.

Effect of the PCSK9 R46L genetic variant on plasma insulin and glucose levels, risk of diabetes mellitus and cardiovascular disease: A meta-analysis.

BACKGROUND AND AIM: The impact of the loss-of-function (LOF) genetic variant PCSK9 R46L on glucose homeostasis and cardiovascular disease (CVD) remains uncertain, despite its established correlation with diminished blood cholesterol levels. This meta-analysis aimed at exploring the effect of the PCSK9 R46L genetic variant on plasma insulin and glucose levels, risk of diabetes mellitus and CVD. METHODS AND RESULTS: PubMed, Embase, and the Cochrane Library were searched for cohort and case-control studies published until October 1, 2023. The studies should report the association of the PCSK9 R46L genetic variant with one of the following: fasting plasma insulin, blood glucose levels, diabetes mellitus, and CVD risk. A dominant model of the PCSK9 R46L genetic variant was employed to statistical analysis. The meta-analyses were performed for continuous variables with standard mean difference (SMD), categorical variables with odds ratio (OR) using a random-effects model. A total of 17 articles with 20 studies engaging 1,186,861 population were identified and mobilized for these analyses. The overall results indicated that, compared with non-carriers of the PCSK9 R46L genetic variant, carriers of the PCSK9 R46L genetic variant did not increase or decrease the levels of fasting plasma insulin (3 studies with 7277 population; SMD, 0.08; 95% CI, -0.04 to 0.19; P = 0.270), and the levels of fasting plasma glucose (7 studies with 9331 population; SMD, 0.03; 95% CI, -0.08 to 0.13; P = 0.610). However, carriers of the PCSK9 R46L genetic variant indeed had 17% reduction in the risk of CVD (11 studies with 558,263 population; OR, 0.83; 95% CI, 0.71 to 0.98; P = 0.030), and 9% increase in the risk of diabetes mellitus (10 studies with 744,466 population; OR, 1.09; 95% CI, 1.04 to 1.14; P < 0.01). Meta-regression analyses indicated that the increased risk of diabetes mellitus and the reduced risk of CVD were positively correlated with reduction in LDL-C (P = 0.004 and 0.033, respectively). CONCLUSIONS: PCSK9 R46L genetic variant exhibited an elevated susceptibility to diabetes mellitus alongside a reduced vulnerability to CVD.

Effect of Intensive Lipid-Lowering Therapy on Coronary Plaque Stabilization Derived from Optical Coherence Tomography: a Meta-analysis and Meta-regression.

PURPOSE: The definitive impacts of intensive lipid-lowering therapy (LLT) on plaque stabilization and the relationship between the key markers during LLT and plaque stability remain unquestioned. Thus, these meta-analysis and meta-regression intend to holistically evaluate the influence exerted by rigorous LLT on the minimum fibrous cap thickness (FCT) and maximum lipid arc as discerned through optical coherence tomography (OCT). This study further scrutinizes the correlation of this impact with variations in high-sensitivity C-reactive protein (hs-CRP), low-density lipoprotein cholesterol (LDL-C), or additional parameters within patients diagnosed with coronary artery disease (CAD). METHODS: Comprehensive searches were conducted on platforms including PubMed, Embase, and the Cochrane Library for randomized controlled trials (RCTs) published until June 1, 2023. The search was language agnostic and targeted RCTs elaborating on the correlation between high-intensity statin therapy or statins used concomitantly with other lipid-lowering medications and the minimum FCT and maximum lipid arc as assessed by OCT. The meta-analyses were executed employing a standard mean difference (SMD) algorithm with random-effects on continuous variables. These methodologies align with the Preferred Reporting Items for Systematic and Meta-analysis (PRISMA) guidelines. RESULTS: A spectrum of 12 RCTs engaging 972 patients were identified and mobilized for these analyses. Meta-analysis outcomes depicted a conspicuous correlation between intensive LLT and an enhanced minimum FCT (12 studies with 972 participants; SMD, 0.87; 95% CI, 0.54 to 1.21; P < 0.01), reduced maximum lipid arc (9 studies with 564 participants; SMD, -0.43; 95% CI, -0.58 to -0.29; P < 0.01). Meta-regression analysis has determined an association of elevated minimum FCT with decreased LDL-C (ß, -0.0157; 95% CI, -0.0292 to -0.0023; P = 0.025), total cholesterol (TC) (ß, -0.0154; 95% CI, -0.0303 to -0.0005; P = 0.044), and apolipoprotein B (ApoB) (ß, -0.0209; 95% CI, -0.0361 to -0.0057; P = 0.022). However, no significant association was discerned relative to variations in hs-CRP/CRP (ß, -0.1518; 95% CI, -1.3766 to -1.0730; P = 0.772), triglyceride (TG) (ß, -0.0030; 95% CI, -0.0258 to -0.0318; P = 0.822), and high-density lipoprotein cholesterol (HDL-C) (ß, 0.0313; 95% CI, -0.0965 to 0.1590; P = 0.608). Subsequent subgroup meta-analysis demonstrated that high-intensity statin therapy (5 studies with 204 participants; SMD, 1.03; 95% CI, 0.67 to 1.39; P < 0.01), as well as a combinative approach including PCSK9 antibodies and statins (3 studies with 522 participants; SMD, 1.17; 95% CI, 0.62 to 1.73; P < 0.01) contributed to an increase in minimum FCT. Parallelly, high-intensity statin therapy (4 studies with 183 participants; SMD, -0.42; 95% CI, -0.65 to -0.19; P < 0.01) or the combined application of PCSK9 antibodies and statins (2 studies with 222 participants; SMD, -0.98; 95% CI, -1.26 to -0.70; P < 0.01) was evidenced to decrease the maximum lipid arc. CONCLUSIONS: Intensive LLT, mainly high-intensity statin therapy and combined PCSK9 antibody with statin, has a beneficial effect on coronary plaque stabilization derived from OCT in patients with CAD. Coronary plaque stabilization is primarily due to lipid-lowering effect, not anti-inflammatory effect. Moreover, the lipid-lowering effect has nothing to do with the changes in HDL-C and TG, but is mainly related to the reduction of LDL-C, TC, and ApoB.

The saturation effect of 25(OH)D level on sleep duration for older people:The NHANES 2011-2018.

This study aimed to investigate the potential relationship between vitamin D and sleep duration in older adults. The study utilized multivariate linear regression models to estimate the associations between serum 25(OH)D and sleep duration. In addition, a smooth curve fitting approach was used to identify any non-linear trends between the two variables. The study included 15,749 participants over the age of 60. The results showed a positive correlation between serum 25(OH)D levels and sleep duration in the fully-adjusted model. This correlation was observed in both males and females, as well as in non-Hispanic White and non-Hispanic Black participants. No significant interactions were found between serum 25(OH)D levels and the stratifying variables. The curve fitting analysis revealed a non-linear relationship between 25(OH)D and sleep duration, with a saturation point observed at a serum 25(OH)D level of 40.6 ng/mL. In conclusion, the findings suggest that there is a positive correlation between serum 25(OH)D levels and sleep duration, with a saturation effect observed. A positive correlation is evident when serum 25(OH)D falls below 40.6 ng/mL.

An In Vivo Data-Based Computational Study on Sitting-Induced Hemodynamic Changes in the External Iliac Artery.

Although sedentary behavior (characterized by prolonged sitting without otherwise being active in daily life) is widely regarded as a risk factor for peripheral artery disease (PAD), underlying biomechanical mechanisms remain insufficiently understood. In this study, geometrical models of ten external iliac arteries were reconstructed based on angiographic data acquired from five healthy young subjects resting in supine and sitting (mimicked by side lying with bent legs) positions, respectively, which were further combined with measured blood flow velocity waveforms in the common iliac arteries (with each body posture being maintained for 30 min) to build computational models for simulating intra-arterial hemodynamics. Morphological analyses showed that the external iliac arteries suffered from evident bending deformation upon the switch of body posture from supine to sitting. Measured blood flow velocity waveforms in the sitting position exhibited a marked decrease in mean flow velocity while increase in retrograde flow ratio compared with those in the supine position. Hemodynamic computations further revealed that sitting significantly altered blood flow patterns in the external iliac arteries, leading to a marked enlargement of atheroprone wall regions exposed to low and oscillatory wall shear stress (WSS), and enhanced multidirectional disturbance of WSS that may further impair endothelial function. In summary, our study demonstrates that prolonged sitting induces atheropromoting hemodynamic changes in the external iliac artery due to the combined effects of vascular bending deformation and changes in flow velocity waveform, which may provide important insights for understanding the involvement of biomechanical factors in sedentary behavior-related PAD.

Feasibility and effectiveness of a single-catheter approach for adrenal vein sampling in patients with primary aldosteronism.

BACKGROUND: Adrenal vein sampling (AVS) is the preferred method for subtyping patients with primary aldosteronism, while the procedure is technically challenging. This study evaluated the feasibility and effectiveness of a single-catheter approach for AVS. METHODS: A retrospective analysis of 106 consecutive patients who underwent AVS was performed to determine the procedural success and complication rates. Bilateral AVS procedures were performed using a single 5-Fr Tiger catheter with repeated manual reshaping. RESULTS: We successfully advanced the catheter into the bilateral adrenal veins of all patients and reached a 90.6% procedural success rate of AVS. The procedural period was 33.0 ± 8.2 min, the fluoroscopy period was 5.8 ± 1.7 min, and the diagnostic contrast used was 17.3 ± 5.5 ml. Only one patient (0.9%) had a hematoma at the femoral puncture site. No other complications were observed. The operation period gradually shortened as the cumulative number of operations increased. The number of procedures required to overcome the learning curve was about 33 cases. CONCLUSIONS: The single-catheter approach is feasible and effective for AVS. Moreover, this approach required a relatively short learning curve for an inexperienced trainee.

Renal denervation in a patient with a highly tortuous renal artery using a guide extension catheter: a case report.

BACKGROUND: Catheter-based renal denervation (RDN) has been introduced to treat resistant hypertension. Although the technology of RDN has been largely improved, denervation of tortuous renal arteries remains challenging. CASE PRESENTATION: This is a case report of a 49-year-old man with drug resistant hypertension. The patient was selected for RDN after ruling out possible causes of secondary hypertension. Computed tomography angiography showed a highly tortuous left renal artery. An Iberis multielectrode ablation catheter failed to reach the target vessel with a regular guiding catheter. A 5-French extension catheter was introduced into the proximal segment of the main left renal artery to provide extra support force, which enabled successful ablation of the highly tortuous left renal artery. His ambulatory blood pressure was significantly decreased at 1 month follow-up. CONCLUSIONS: It is feasible and effective to use a guide extension catheter for denervation of highly tortuous renal arteries. The present study provides a useful method to ablate tortuous and angled renal arteries and branches.

Roles of arterial pressure volume index and arterial velocity pulse index trajectories in risk prediction in hypertensive patients with heart failure with preserved ejection fraction.

Background: Arterial pressure volume index (API) and arterial velocity pulse index (AVI) contribute to the development of vascular damage and cardiovascular disease. However, the relationship between common API/AVI trajectories and cardiovascular outcomes in hypertensive patients with heart failure with preserved ejection fraction (HFpEF) is unknown.Methods: A total of 488 consecutive hypertensive patients with HFpEF who repeatedly underwent API/AVI measurements were prospectively examined. We then applied API/AVI measurements into actual clinical practice. Latent mixture modeling was performed to identify API/AVI trajectories. Hazards ratios (HRs) were measured using Cox proportional hazard models.Results: We identified four distinct API/AVI trajectory patterns: low (7.6%), moderate (43.8%), high (28.9%), and very high (19.7%). Compared with the low group, higher API trajectories were associated with increased risk of total cardiovascular events (high group, adjusted HR: 2.91, 95% confidence interval [CI]: 1.97-4.26; very high group, adjusted HR: 2.46, 95%CI: 1.18-3.79). Consistently, higher AVI trajectories were also associated with a higher risk of total cardiovascular events (high group, adjusted HR: 2.58, 95%CI: 1.23-5.47; very high group, adjusted HR: 3.12, 95%CI: 1.83-6.08), compared with the low trajectory group.Conclusion: High API/AVI trajectories are strong predictors of cardiovascular risk in hypertensive patients with HFpEF. Among these patients, measuring API/AVI may improve risk stratification and provide additional information to tailor treatment strategies.

Cinnamaldehyde Ameliorates High-Glucose-Induced Oxidative Stress and Cardiomyocyte Injury Through Transient Receptor Potential Ankyrin 1.

Oxidative stress plays a critical role in diabetic cardiomyopathy. Transient receptor potential ankyrin subtype 1 (TRPA1) has antioxidative property. In this study, we tested whether activation of TRPA1 with cinnamaldehyde protects against high-glucose-induced cardiomyocyte injury. Cinnamaldehyde remarkably decreased high-glucose-induced mitochondrial superoxide overproduction, upregulation of nitrotyrosine, P22, and P47, and apoptosis in cultured H9C2 cardiomyocytes (P < 0.01), which were abolished by a TRPA1 antagonist HC030031 (P < 0.01). Nrf2 and its induced genes heme oxygenase-1 (HO-1), glutathione peroxidase-1 (GPx-1), and quinone oxidoreductase-1 (NQO-1) were slightly increased by high glucose (P < 0.01) and further upregulated by cinnamaldehyde (P < 0.05 or P < 0.01). Feeding with cinnamaldehyde (0.02%)-containing diet for 12 weeks significantly decreased cardiac nitrotyrosine levels (P < 0.01), fibrosis, and cardiomyocyte hypertrophy (P < 0.05), while increased expression of antioxidative enzymes (HO-1, GPx-1, NQO-1, and catalase) (P < 0.01) in the myocardial tissue of db/db diabetic mice. These results suggest that cinnamaldehyde protects against high-glucose-induced oxidative damage of cardiomyocytes likely through the TRPA1/Nrf2 pathway.

Predictors and Management of Antiplatelet-Related Bleeding Complications for Acute Coronary Syndrome in Chinese Elderly Patients.

BACKGROUND/AIMS: Bleeding complications after percutaneous coronary intervention (PCI) are strongly associated with adverse patient outcomes. However, there are no specific guidelines for the predictors and management of antiplatelet-related bleeding complications in Chinese elderly patients with acute coronary syndrome (ACS). METHODS: A retrospective analysis of 237 consecutive patients (aged ≥ 75 years) with ACS who had undergone successful PCI from January 2010 to December 2016 was performed to identify predictors and management of antiplatelet-related bleeding complications. Multivariate logistic regression analysis was conducted to investigate independent predictors of antiplatelet-related bleeding complications. We defined antiplatelet-related bleeding complications as first hospitalization received long-term oral antiplatelet therapy and required hospitalization, including gastrointestinal and intracranial bleedings. RESULTS: After multivariable adjustment, independent risk predictors of antiplatelet-related bleeding complications included female gender (odds ratio [OR]: 2.96; 95% confidence interval [CI]: 1.98 to 4.15; P = 0.011), body mass index (OR: 1.54; 95% CI: 1.06 to 1.94; P = 0.034), previous history of bleeding (OR: 4.03; 95% CI: 1.84 to 6.12; P = 0.004), fasting blood glucose (OR: 2.79; 95% CI: 1.23 to 4.46; P = 0.025), and chronic total occlusion lesion (OR: 4.69; 95% CI: 2.19 to 7.93; P = 0.007). Of 46 patients with antiplatelet-related bleeding complications, 54.3% were treated short-term dual antiplatelet therapy (DAPT) cessation (0-7 days) and 45.7% underwent long-term DAPT cessation (> 7 days). Among these, 14 patients presented major adverse cardiac and cerebrovascular events (MACCE), whereas no re-bleeding happened over all available follow-up. The incidence of MACCE was not significantly different between the two groups one year after PCI (36.0% for short-term DAPT cessation versus 23.8% for long-term DAPT cessation, P = 0.522). CONCLUSION: For elderly patients with ACS, multiple factors were likely to contribute to antiplatelet-related bleeding complications, especially previous history of bleeding and chronic total occlusion lesion. Better individualized, tailored and risk-adjusted antiplatelet therapy after PCI is urgently needed in this high-risk population.

Dynamic Clustering and Scaling Behavior of Active Particles under Confinement.

A systematic investigation of the dynamic clustering behavior of active particles under confinement, including the effects of both particle density and active driving force, is presented based on a hybrid coarse-grained molecular dynamics simulation. First, a series of scaling laws are derived with power relationships for the dynamic clustering time as a function of both particle density and active driving force. Notably, the average number of clusters N¯ assembled from active particles in the simulation system exhibits a scaling relationship with clustering time t described by N¯âˆt-m. Simultaneously, the scaling behavior of the average cluster size S¯ is characterized by S¯âˆtm. Our findings reveal the presence of up to four distinct dynamic regions concerning clustering over time, with transitions contingent upon the particle density within the system. Furthermore, as the active driving force increases, the aggregation behavior also accelerates, while an increase in density of active particles induces alterations in the dynamic procession of the system.

Accuracy meets simplicity: A constitutive model for heterogenous brain tissue.

We present a general, hyperelastic, stretch-based potential that shows promise for modeling the mechanics of brain tissue. A specific four-parameter model derived from this general potential outperforms alternative models, such as the modified Ogden model, the Gent model, Demiray model, and machine-learning models, in capturing brain tissue elasticity. Specifically, the stretch-based model achieved R2 values of 0.997, 0.992, and 0.993 (tension, compression, and shear) for the cortex, 0.995, 0.983, and 0.983 for the basal ganglia, 0.994, 0.929, and 0.970 for the corona radiata, and 0.990, 0.896, and 0.969 for the corpus callosum. This work has the potential to advance our understanding of brain tissue mechanics and provides a valuable tool to improve finite element models for the investigation of brain development, injuries, and disease.

Association of hypertension with the triglyceride-glucose index and its associated indices in the Chinese population: A 6-year prospective cohort study.

The authors aim to assess the correlation between hypertension and the triglyceride-glucose (TyG) index and its associated indices, and to compare their abilities to identify hypertension. Four thousand eight hundred and sixty-six non-hypertensive participants were enrolled from the China National Health Survey in 2009. The data on new-onset hypertension were gathered in both 2011 and 2015. The TyG index and its associated indices were derived from the fasting triglyceride, blood glucose levels, and anthropometric parameters. Multivariate logistic regression analyses and receiver operating characteristic curve analysis were used. The adjusted odds ratio (OR) and 95% confidence interval (CI) for the new-onset hypertension for the TyG-waist-to-height ratio (TyG-WHtR), TyG-waist circumference (TyG-WC), TyG-waist-to-hip ratio (TyG-WHR), TyG-body mass index (TyG-BMI), and TyG index were 1.379 (1.230-1.546), 1.002 (1.001-1.003), 1.156 (1.069-1.251), 1.007 (1.005-1.009), and 1.187 (1.051-1.341), respectively. In addition, comparing the lowest quartile (Q1) group with the highest quartile (Q4), the adjusted OR and 95% CI for the new-onset hypertension were found to be 1.86 (1.48-2.35), 1.93 (1.53-2.43), 1.71 (1.36-2.16), 2.00 (1.60-2.50), and 1.49 (1.19-1.88) for TyG-WHtR, TyG-WC, TyG-WHR, TyG-BMI, and TyG index, respectively, among all participants. The TyG-WHtR had the largest area under the curve (AUC) for hypertension (AUC, 0.628; 95% CI, 0.614-0.641) in all participants. Stratified analysis also indicated that the TyG-WHtR exhibited the greatest AUC in both males (AUC, 0.608; 95% CI, 0.587-0.629) and females (AUC, 0.648; 95% CI, 0.629-0.666). In conclusions, the TyG index and its associated indices were positively associated with hypertension. Among these indices, TyG-WHtR was the most valuable indicator for predicting hypertension.

Establishment of a scoring model for predicting clinical outcomes in patients with unilateral primary aldosteronism after superselective adrenal artery embolization.

OBJECTIVE: Superselective adrenal arterial embolization (SAAE) is a potential alternative treatment for patients with unilateral primary aldosteronism (PA) who refuse unilateral adrenalectomy. Therefore, we aimed to establish a scoring model to differentiate between hypertensive remission after SAAE. METHODS: This prospective cohort study involved 240 patients who underwent SAAE for unilateral PA. Patients were randomly divided into a model training set and a validation set at a ratio of 7:3. The clinical outcome was a response to hypertension remission, defined as complete, partial, or absent success at 6 months after SAAE. Multivariate logistic regression was performed to identify independent parameters and develop a nomogram to predict clinical outcomes after SAAE. The discrimination, calibration efficacy, and clinical utility of the predictive model were assessed. RESULTS: Five independent predictors were identified: female sex, duration of hypertension, defined daily dose of antihypertensive medication, diabetes, and target organ damage. The above five independent predictors were put into a predictive model that was presented as a nomogram. Using bootstrapping for internal validation, the C-statistic for the predictive model was 0.866 (95% confidence interval [CI]: 0.834 to 0.898). In the validation cohort, the area under the curve (AUC) of the nomogram for predicting hypertension remission after SAAE was 0.809. CONCLUSION: The present model is the first nomogram-based score that specifically predicts hypertension remission after SAAE in patients with unilateral PA using conventional parameters. This is an effective risk stratification tool that can be used by clinicians for timely and tailored preoperative risk discussions.

Intraprocedural Cortisol Measurement Increases Adrenal Vein Cannulation Success Rate in Primary Aldosteronism: A Systematic Review and Meta-analysis.

BACKGROUND: This study aimed to explore the effectiveness of intraprocedural cortisol measurement (IPCM) for the technical success rates of bilateral adrenal vein, right adrenal vein (RAV), and left adrenal vein (LAV) cannulation during adrenal vein sampling (AVS). METHODS: Systematic searches of PubMed, Embase, Cochrane Library, and ClinicalTrials.gov were performed from database inception to May 10, 2023, without any restrictions. We estimated the overall effect estimates of outcomes using the Mantel-Haenszel random-effects model. We conducted subgroup analyses, meta-regression, and sensitivity analysis to explore the possible sources of between-study heterogeneity. RESULTS: In total, 3,485 patients from 11 studies (three prospective and eight retrospective) were enrolled. Bilateral selectivity in patients who underwent IPCM during AVS was significantly higher than that in patients who underwent a routine AVS procedure (84% vs. 64%, RR 1.42, 95% confidence interval [CI]: 1.27-1.59, P < 0.01), with significant heterogeneity (I2 = 68%). A 42% relative risk reduction in the failure rate of bilateral adrenal vein cannulation was found in the IPCM group. Moreover, pooled analysis showed a significant increase in the success rates of RAV cannulation (84% vs. 72%, RR 1.21, 95% CI 1.12-1.31, P < 0.01, I2 = 33%) and LAV cannulation (89% vs. 84%, RR 1.05, 95% CI 1.02-1.08, P < 0.01, I2 = 4%) when IPCM was implemented during the AVS procedure compared to the routine AVS procedure. CONCLUSIONS: An IPCM-based strategy during AVS appears to have a significant beneficial effect on improving the success rate of bilateral cannulation, RAV cannulation and LAV cannulation.

A controlled trial of percutaneous adrenal arterial embolization for hypertension in patients with idiopathic hyperaldosteronism.

Our prior study has suggested that percutaneous superselective adrenal arterial embolization (SAAE) with ethanol reduces blood pressure in patients with primary aldosteronism. This study aimed to compare the efficacy of SAAE with mineralocorticoid receptor antagonists (MRA) in treating patients with idiopathic hyperaldosteronism. In this prospective, randomized, controlled trial, we randomly assigned patients with idiopathic hyperaldosteronism in a 1:1 ratio to undergo SAAE (n = 29) or receive MRA (n = 30) treatment. The primary endpoint was the change in mean 24-hour ambulatory systolic blood pressure at 6 months. The secondary endpoints included changes in office blood pressure, home blood pressure, correction of aldosterone-to-renin ratio, and adverse events at 6 months. The mean change in 24-h ambulatory systolic blood pressure from baseline to 6-month follow-up was significantly different between the two groups (-8.4 mmHg; 95% confidence interval, -15.2 to -2.1 mmHg; P < 0.01). Office, home, and ambulatory blood pressure reduction at 6 months was more pronounced in the SAAE group than the MRA group (all P < 0.05). Aldosterone-to-renin ratio was lower in the SAAE group than the MRA group at 1 and 3 months (both P < 0.01), while it had no difference between the two groups at 6 months. None of the patients experienced serious adverse events in the perioperative and 6-month follow-up periods. SAAE, as a hormonal debulking procedure, is superior to MRA in blood pressure control and correction of biochemical abnormalities in patients with idiopathic hyperaldosteronism.

A risk score for predicting in-stent restenosis in patients with premature acute myocardial infarction undergoing percutaneous coronary intervention with drug-eluting stent.

Background: This study aimed at developing and validating a risk score to predict in-stent restenosis (ISR) in patients with premature acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI) with drug-eluting stent (DES). Methods: This was a two-center retrospective study. A total of 2185 patients firstly diagnosed with premature AMI (age ≥18 years and <55 years in men, <65 years in women) from Xinjiang cohort were retrospectively analyzed. After filtering by exclusion criteria, patients were randomly divided into training cohort (n = 434) and internal validation cohort (n = 186) at a 7:3 ratio. Several candidate variables associated with ISR in the training cohort were assessed by the least absolute shrinkage and selection operator and logistic regression analysis. The ISR risk nomogram score based on the superior predictors was finally developed, and then validated in the internal validation cohort and in an independent Chengdu external validation cohort (n = 192). The higher total nomogram score, the greater the ISR risk. Results: The eight variables in the final risk nomogram score, cardiovascular-kidney-metabolic (CKM) score included age, diabetes mellitus (DM), body mass index (BMI), systolic blood pressure (SBP), low-density lipoprotein cholesterol (LDLC), estimated glomerular filtration rate (eGFR), stent in left anterior descending coronary artery, minimum stent diameter <3 mm. The areas under the curve (AUC) and C-statistics [training cohort: 0.834 (95%CI: 0.787 to 0.882); internal validation cohort: 0.852 (95%CI: 0.784 to 0.921); Chengdu external validation cohort: 0.787 (95%CI: 0.692 to 0.882), respectively)] demonstrated the good discrimination of the CKM score. The Hosmer-Lemeshow test (χ2 = 7.86, P = 0.448; χ2 = 5.17, P = 0.740; χ2 = 6.35, P = 0.608, respectively) and the calibration curve confirmed the good calibration of the CKM score. Decision curve analysis (DCA) testified the clinical net benefit of the CKM score in the training and validation cohort. Conclusion: This study provided a well-developed and validated risk nomogram score, the CKM score to predict ISR in patients with premature AMI undergoing PCI with DES. Given that these variables are readily available and practical, the CKM score should be widely adopted for individualized assessment and management of premature AMI.

Advancing microbial production through artificial intelligence-aided biology.

Microbial cell factories (MCFs) have been leveraged to construct sustainable platforms for value-added compound production. To optimize metabolism and reach optimal productivity, synthetic biology has developed various genetic devices to engineer microbial systems by gene editing, high-throughput protein engineering, and dynamic regulation. However, current synthetic biology methodologies still rely heavily on manual design, laborious testing, and exhaustive analysis. The emerging interdisciplinary field of artificial intelligence (AI) and biology has become pivotal in addressing the remaining challenges. AI-aided microbial production harnesses the power of processing, learning, and predicting vast amounts of biological data within seconds, providing outputs with high probability. With well-trained AI models, the conventional Design-Build-Test (DBT) cycle has been transformed into a multidimensional Design-Build-Test-Learn-Predict (DBTLP) workflow, leading to significantly improved operational efficiency and reduced labor consumption. Here, we comprehensively review the main components and recent advances in AI-aided microbial production, focusing on genome annotation, AI-aided protein engineering, artificial functional protein design, and AI-enabled pathway prediction. Finally, we discuss the challenges of integrating novel AI techniques into biology and propose the potential of large language models (LLMs) in advancing microbial production.

Aerodynamic Simulation of Small Airway Resistance: A New Imaging Biomarker for Chronic Obstructive Pulmonary Disease.

Purpose: To develop a novel method for calculating small airway resistance using computational fluid dynamics (CFD) based on CT data and evaluate its value to identify COPD. Patients and Methods: 24 subjects who underwent chest CT scans and pulmonary function tests between August 2020 and December 2020 were enrolled retrospectively. Subjects were divided into three groups: normal (10), high-risk (6), and COPD (8). The airway from the trachea down to the sixth generation of bronchioles was reconstructed by a 3D slicer. The small airway resistance (RSA) and RSA as a percentage of total airway resistance (RSA%) were calculated by CFD combined with airway resistance and FEV1 measured by pulmonary function test. A correlation analysis was conducted between RSA and pulmonary function parameters, including FEV1/FVC, FEV1% predicted, MEF50% predicted, MEF75% predicted and MMEF75/25% predicted. Results: The RSA and RSA% were significantly different among the three groups (p<0.05) and related to FEV1/FVC (r = -0.70, p < 0.001; r = -0.67, p < 0.001), FEV1% predicted (r = -0.60, p = 0.002; r = -0.57, p = 0.004), MEF50% predicted (r = -0.64, p = 0.001; r = -0.64, p = 0.001), MEF75% predicted (r = -0.71, p < 0.001; r = -0.60, p = 0.002) and MMEF 75/25% predicted (r = -0.64, p = 0.001; r = -0.64, p = 0.001). Conclusion: Airway CFD is a valuable method for estimating the small airway resistance, where the derived RSA will aid in the early diagnosis of COPD.

Unilateral chemical ablation of the adrenal gland lowers blood pressure and alleviates target organ damage in spontaneously hypertensive rats.

Adrenal gland hormones play a critical role in the development and maintenance of hypertension. Adrenal ablation has been used to treat primary aldosteronism but not essential hypertension. The present study aimed to investigate the effectiveness and safety of unilateral adrenal gland ablation in treating spontaneously hypertensive rats (SHR). SHR and Wistar-Kyoto rats (WKY) were subjected to unilateral adrenal ablation with injection of anhydrous ethanol or a sham procedure. Blood pressure was monitored by both tail-cuff plethysmography and telemetry until 6 months after the procedure. Adrenal ablation significantly lowered systolic and diastolic blood pressure of the SHR (P < 0.05 or P < 0.01) but not WKY from 4 to 24 weeks after the procedure. Adrenal ablation substantially damaged adrenal cortex and medulla with fibrosis in SHR and WKY rats. The ablation procedure remarkably reduced the levels of renin, angiotensin II, aldosterone, cortisol, noradrenaline, and epinephrine in SHR (all P < 0.05) but not in WKY. Hypokalemia in SHR was significantly improved by adrenal ablation (P < 0.05), while the serum sodium levels were not affected by adrenal ablation in either SHR or WKY rats. Additionally, adrenal ablation improved cardiac, renal, and vascular remodeling and function measured 3 months after the procedure in SHR. In conclusion, the present study shows that ethanol ablation of adrenal gland can effectively lower blood pressure and prevent target organ damage in SHR. These findings suggest that unilateral debulking of the adrenal gland using ethanol ablation is a promising therapeutic strategy for treating hypertension. METHODS: Spontaneously hypertensive rats (SHR) and Wistar-Kyoto rats (WKY) were subjected to unilateral adrenal ablation with injection of ethanol or a sham procedure. Blood pressure was monitored for 24 weeks. RESULTS: Adrenal ablation significantly lowered systolic and diastolic blood pressure of SHR but not WKY from 4 to 24 weeks after the procedure. CONCLUSION: Unilateral debulking of the adrenal gland using ethanol ablation is a promising therapeutic strategy for treating hypertension.