A Prospective Observational Study of Factors Affecting the Change in Quality of Life in Patients With Primary Aldosteronism After Treatment.

OBJECTIVE: To explore the changes in the health-related quality of life (HRQoL) in patients with primary aldosteronism (PA) after standardized treatment and determine the effects of different variables on the change in the HRQoL of patients. METHODS: A total of 116 patients with PA were prospectively included from November 2020 to March 2022. Data were collected at their initial diagnosis and the follow-up after 12 months of treatment, including demographic and clinical data and the scores of the Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36). The scores of each dimension of SF-36 of patients before and after treatment were compared, and the factors affecting their change in the quality of life were analyzed using multiple linear regression. RESULTS: After standardized treatment, the aldosterone-to-renin ratio (Z = -4.967, P < .001), systolic blood pressure (t = 8.985, P < .001), and diastolic blood pressure (t = 7.233, P < .001) of patients with PA decreased compared with baseline, and hypokalemia was effectively corrected (χ2 = 69.014, P < .001). In terms of quality of life, 6 of 8 dimensions of SF-36 and the total score of SF-36 significantly improved at 1-year follow-up compared with baseline (all P < .05). The results of multiple linear regression showed that the improvement in the HRQoL in patients with PA after standardized treatment was correlated with the change in the blood potassium level (P = .007) and systolic blood pressure (P = .003). CONCLUSION: Correction of hypokalemia and control of diastolic blood pressure are essential factors contributing to the improvement in the HRQoL in patients with PA regardless of the standardized treatment received.

Light-Induced Tunable Ferroelectric Polarization in Dipole-Embedded Metal-Organic Framework.

Reversible regulation of ferroelectric polarization possesses great potentials recently in bionic neural networks. Photoinduced cis-trans isomers have changeable dipole moments, but they cannot be directed to some specific orientation. Here, we construct a host-guest composite structure which consists of a porous ferroelectric metal (Ni)-organic framework [Ni(DPA)2] as host and photoisomer, azobenzene (AZB), as guest molecules. When AZB molecules are embedded in the nanopores of Ni(DPA)2 in the form of a single molecule, polarization strength tunable regulation is realized after ultraviolet irradiation of 365 and 405 nm via cis-trans isomerism transformation of AZB. An intrinsic built-in field originating from the distorted {NiN2O4} octahedra in Ni(DPA)2 directs the dipole moments of AZB to the applied electric field. As a result, the overlapped ferroelectric polarization strength changes with content of cis-AZB after ultraviolet and visible irradiation. Such a connection of ferroelectric Ni(DPA)2 structure with cis-trans isomers provides an important strategy for regulating the ferroelectric polarization strength.

Long-term administration of salvianolic acid A promotes endogenous neurogenesis in ischemic stroke rats through activating Wnt3a/GSK3ß/ß-catenin signaling pathway.

Stroke is the major cause of death and disability worldwide. Most stroke patients who survive in the acute phase of ischemia display various extents of neurological deficits. In order to improve the prognosis of ischemic stroke, promoting endogenous neurogenesis has attracted great attention. Salvianolic acid A (SAA) has shown neuroprotective effects against ischemic diseases. In the present study, we investigated the neurogenesis effects of SAA in ischemic stroke rats, and explored the underlying mechanisms. An autologous thrombus stroke model was established by electrocoagulation. The rats were administered SAA (10 mg/kg, ig) or a positive drug edaravone (5 mg/kg, iv) once a day for 14 days. We showed that SAA administration significantly decreased infarction volume and vascular embolism, and ameliorated pathological injury in the hippocampus and striatum as well as the neurological deficits as compared with the model rats. Furthermore, we found that SAA administration significantly promoted neural stem/progenitor cells (NSPCs) proliferation, migration and differentiation into neurons, enhanced axonal regeneration and diminished neuronal apoptosis around the ipsilateral subventricular zone (SVZ), resulting in restored neural density and reconstructed neural circuits in the ischemic striatum. Moreover, we revealed that SAA-induced neurogenesis was associated to activating Wnt3a/GSK3ß/ß-catenin signaling pathway and downstream target genes in the hippocampus and striatum. Edaravone exerted equivalent inhibition on neuronal apoptosis in the SVZ, as SAA, but edaravone-induced neurogenesis was weaker than that of SAA. Taken together, our results demonstrate that long-term administration of SAA improves neurological function through enhancing endogenous neurogenesis and inhibiting neuronal apoptosis in ischemic stroke rats via activating Wnt3a/GSK3ß/ß-catenin signaling pathway. SAA may be a potential therapeutic drug to promote neurogenesis after stroke.

Hypoxia-inducible factor-1: Regulatory mechanisms and drug development in stroke.

Stroke is an acute cerebrovascular disease caused by sudden rupture of blood vessels in the brain or blockage of blood vessels, which has now become one of the main causes of adult death. During stroke, hypoxia-inducible factor-1 (HIF-1), as an important regulator under hypoxia conditions, is involved in the pathological process of stroke by regulating multi-pathways, such as glucose metabolism, angiogenesis, erythropoiesis, cell survival. However, the roles of HIF-1 in stroke are still controversial, which are related with ischemic time and degree of ischemia. The regulatory mechanisms of HIF-1 in stroke include inflammation, autophagy, oxidative stress, apoptosis and energy metabolism. The potential drugs targeting HIF-1 have attracted more attention, such as HIF-1 inhibitors, HIF-1 stabilizers and natural products. Based on the role of HIF-1 in stroke, HIF-1 is expected to be a potential target for stroke treatment. Resolving when and what interventions for HIF-1 to take during stroke will provide novel strategies for stroke treatment.

Xiao-Xu-Ming decoction prevented hemorrhagic transformation induced by acute hyperglycemia through inhibiting AGE-RAGE-mediated neuroinflammation.

Stroke is one of the leading causes of death worldwide. Hemorrhagic transformation (HT) is a common serious complication of ischemic stroke (IS) and is related to poor prognosis. Hyperglycemia after stroke is associated with the occurrence of HT and seriously affects the clinical treatment of stroke. Our previous experiments demonstrated that the Xiao-Xu-Ming decoction effective components group (XXMD), which is a Chinese medicine formula reconstituted by active ingredients, has multiple pharmacological effects in the treatment of IS. However, the effects of XXMD on HT after IS remain unclear. Thus, we investigated the preventive effects of XXMD on hyperglycemia-induced HT and further explored the underlying mechanism. Acute hyperglycemia combined with the electrocoagulation cerebral ischemia model was used to establish the HT model. XXMD (37.5, 75, 150 mg/kg/d) was given by gavage for 5 days. Network pharmacology was used to predict potential targets and pathways of XXMD in HT occurrence, and further studies confirmed the related targets. The results showed that hyperglycemia aggravated neurological deficits and blood-brain barrier (BBB) disruption, leading to intracerebral hemorrhage. Pretreatment with XXMD improved neurological function and BBB integrity and inhibited HT occurrence. Network pharmacology revealed that AGE-RAGE-mediated neuroinflammation may be associated with hyperglycemia-induced HT. Further studies confirmed that hyperglycemia activated the AGE-RAGE signaling pathway, increased the expression of HMGB1, TLR4 and p-p65, and induced the release of inflammatory factors and neutrophil infiltration, leading to HT. XXMD could inhibit AGE-RAGE-mediated neuroinflammation. These findings indicated that pretreatment with XXMD alleviated hyperglycemia-induced HT, which may be associated with the inhibition of AGE-RAGE-mediated neuroinflammation. Therefore, XXMD may be a potential therapeutic drug for HT.

Salvianolic acid A prevented cerebrovascular endothelial injury caused by acute ischemic stroke through inhibiting the Src signaling pathway.

Stroke is an acute cerebrovascular disease caused by ruptured or blocked blood vessels. For the prevention of ischemic stroke, the coagulation state of blood and cerebrovascular protection should be considered. Our previous study has shown that salvianolic acid A (SAA), which is a water-soluble component from the root of Salvia Miltiorrhiza Bge, prevents thrombosis with a mild inhibitory effect on platelet aggregation. In this study we investigated the preventive effects of SAA on cerebrovascular endothelial injury caused by ischemia in vivo and oxygen-glucose deprivation (OGD) in vitro, and explored the underlying mechanisms. An autologous thrombus stroke model was established in SD rats by electrocoagulation. SAA (10 mg/kg) was orally administered twice a day for 5 days before the operation. The rats were sacrificed at 24 h after the operation. We showed that pretreatment with SAA significantly improved the neurological deficits, intracerebral hemorrhage, BBB disruption, and vascular endothelial dysfunction as compared with model group. In human brain microvascular endothelial cells (HBMECs), pretreatment with SAA (10 µM) significantly inhibited OGD-induced cell viability reduction and degradation of tight junction proteins (ZO-1, occludin, claudin-5). Furthermore, we found that SAA inhibited the upregulation of Src signaling pathway in vivo and vitro and reversed the increased expression of matrix metalloproteinases (MMPs) after ischemic stroke. In conclusion, our results suggest that SAA protects cerebrovascular endothelial cells against ischemia and OGD injury via suppressing Src signaling pathway. These findings show that pretreatment with SAA is a potential therapeutic strategy for the prevention of ischemic stroke.

Pinocembrin attenuates hemorrhagic transformation after delayed t-PA treatment in thromboembolic stroke rats by regulating endogenous metabolites.

Hemorrhagic transformation (HT) is a common serious complication of stroke after thrombolysis treatment, which limits the clinical use of tissue plasminogen activator (t-PA). Since early diagnosis and treatment for HT is important to improve the prognosis of stroke patients, it is urgent to discover the potential biomarkers and therapeutic drugs. Recent evidence shows that pinocembrin, a natural flavonoid compound, exerts anti-cerebral ischemia effect and expands the time window of t-PA. In this study, we investigated the effect of pinocembrin on t-PA-induced HT and the potential biomarkers for HT after t-PA thrombolysis, thereby improving the prognosis of stroke. Electrocoagulation-induced thrombotic focal ischemic rats received intravenous infusion of t-PA (10 mg/kg) 6 h after ischemia. Administration of pinocembrin (10 mg/kg, iv) prior t-PA infusion significantly decreased the infarct volume, ameliorated t-PA-induced HT, and protected blood-brain barrier. Metabolomics analysis revealed that 5 differential metabolites in the cerebral cortex and 16 differential metabolites in serum involved in amino acid metabolism and energy metabolism were significantly changed after t-PA thrombolysis, whereas pinocembrin administration exerted significant intervention effects on these metabolites. Linear regression analysis showed that lactic acid was highly correlated to the occurrence of HT. Further experiments confirmed that t-PA treatment significantly increased the content of lactic acid and the activity of lactate dehydrogenase in the cerebral cortex and serum, and the expression of monocarboxylate transporter 1 (MCT 1) in the cerebral cortex; pinocembrin reversed these changes, which was consistent with the result of metabolomics. These results demonstrate that pinocembrin attenuates HT after t-PA thrombolysis, which may be associated with the regulation of endogenous metabolites. Lactic acid may be a potential biomarker for HT prediction and treatment.

Five circRNAs Serve as Potential Diagnostic and Prognostic Biomarkers in Lung Adenocarcinoma.

BACKGROUND: The mortality rate of lung adenocarcinoma ranks first worldwide, higher than gastric, colorectal, breast, and other cancers. The lack of effective and accurate diagnosis contributes to the patient's unfavorable prognosis with lung adenocarcinoma since most patients are diagnosed at a late stage. In the present study, we aimed to investigate five circRNAs correlated with lung adenocarcinoma and their clinical roles. METHODS: We collected 68 unpaired serum and tissue samples from patients with lung adenocarcinoma and healthy volunteers. At the next stage, quantitative real-time polymerase chain reaction (qRT-PCR) assays were conducted. Furthermore, we uncovered the correlation of their expressions with clinicopathological features and the diagnostic values. Finally, the 5-year survival rate and disease-free rate were analyzed using Kaplan-Meier methods. RESULTS: The results revealed that expression levels of hsa_circ_001010, hsa_circ-ZNF609 were significantly elevated while hsa_circ-CRIMI1, hsa_circ-EPB41L2, and hsa_circ_0072309 were lower in lung adenocarcinoma serum samples and tissues than those in healthy controls (p < 0.05). Meanwhile, hsa_circ_001010 and hsa_circ-ZNF609 were downregulated hsa_circ-CRIMI1, hsa_circ-EPB41L2, and hsa_circ_0072309 were elevated in A549 cells compared with BEAS-2B cells. Knockdown of hsa_circ-CRIMI1, hsa_circ-EPB41L2, or hsa_circ_0072309 and overexpressing of hsa_circ_001010 and hsa_circ-ZNF609 could promote A549 cell apoptosis but inhibits proliferation as well. Furthermore, receiver operating characteristic (ROC) assays demonstrated that the area under the curve (AUC) were as follows: hsa_circ_001010 (0.8512, 95% CI, 0.7872 - 0.9152; p < 0.0001), hsa_circ-ZNF609 (0.7876, 95% CI, 0.7101 - 0.8651; p < 0.0001), hsa_circ-CRIMI1 (0.6614, 95% CI, 0.5708 - 0.7521; p < 0.0001), hsa_circ-EPB41L2 (0.6851, 95% CI, 0.5960 - 0.7742; p = 0.0002), and hsa_circ_0072309 (0.7359, 95% CI, 0.6250 - 0.8199; p < 0.0001). Notably, higher expressions of hsa_circ_001010, hsa_circ-ZNF609, and lower expressions of hsa_circ-CRIMI1, hsa_circ-BGT2, hsa_circ-EPB41L2, and hsa_circ_0072309 were positively correlated with clin-ical stage, lymph node metastasis, and smoking. Last but not least, patients with higher expressions of hsa_ circ_001010, hsa_circ-ZNF609, and lower expressions of hsa_circ-CRIMI1, hsa_circ-EPB41L2, and hsa_circ_ 0072309 had significantly lower overall survival rates and disease-free rates as well. CONCLUSIONS: We concluded that the five circRNAs might have diagnostic and prognosis significance in lung ade-nocarcinoma. However, further functional studies are warranted to ascertain the biological mechanisms of these circRNAs in the occurrence and development of lung adenocarcinoma.

The relationship between job stress and job burnout: the mediating effects of perceived social support and job satisfaction.

Job stress, perceived social support, and job satisfaction are important predictors of job burnout. However, few studies have explored the mechanism of job stress on different dimensions of job burnout through perceived social support and job satisfaction among bank employees. In this study, a total of 1464 Chinese bank employees completed the Job Stress Assessment Scale, Perceived Social Support Scale, Minnesota Job Satisfaction Questionnaire and Maslach Burnout Inventory-General Survey. The results showed that job burnout was positively associated with job stress but negatively associated with perceived social support and job satisfaction. Mediating analyses showed that the mediation of perceived social support was different for job burnout than for different job burnout dimensions. Job satisfaction mediated the relationship between job stress and different job burnout dimensions. In addition, the association between job stress and job burnout was sequentially mediated by perceived social support and job satisfaction.

Machine learning for total organic carbon analysis of environmental water samples using high-throughput colorimetric sensors.

Due to the complexity of nonlinear reactions, the analysis of environmental samples often relies on expensive equipment as well as tedious and time-consuming experimental procedures. Currently, the efficient machine learning (ML) strategy based on big data offers some new insights for the analysis of complex components in the environmental field. In this study, ML was applied for the analysis of total organic carbon (TOC). We prepared a special colorimetric sensor (c-sensor) by inkjet printing. The sensor reacted with water samples in a high-throughput process, producing characteristic patterns to map TOC information in water samples. To quickly acquire TOC information on c-sensors, a ML model was proposed to describe the relationship between the c-sensor and TOC value. According to this study, the c-sensor and ML can be effectively applied to TOC information analysis of environmental water samples, which provides convenience for environmental research. It is foreseeable that ML has a broad prospect of application in environmental research.

Learning Curve for Uniportal Thoracoscopic Anatomical Pulmonary Segmentectomy.

Background. Video-assisted thoracoscopic segmentectomy has been considered to be an effective management in properly selected patients. Given the substantial technical difficulties, uniportal thoracoscopic segmentectomy is a challenging surgical procedure. The purpose of this study was to investigate the learning curve for uniportal thoracoscopic segmentectomy procedures. Methods. Prospectively collected data were retrospectively analyzed for a series of 124 consecutive patients undergoing uniportal thoracoscopic segmentectomy from August 2016 to September 2018. The learning curve for uniportal thoracoscopic segmentectomy was studied using cumulative sum (CUSUM) combined with risk-adjusted cumulative sum (RA-CUSUM) methods. Results. According to the CUSUM combined with the RA-CUSUM analyses, the learning curve for uniportal thoracoscopic segmentectomy was composed of three well-differentiated phases: cases 1 to 24, cases 25 to 57, and cases 58 to 124. With the procedures proceeded orderly, the operation time tends to progressively decrease. Conclusions. The uniportal thoracoscopic segmentectomy is considered to be a feasible and safe surgical procedure that can be taught to surgeons through a proctored learning curve. The data of the present study indicate that the inflection point for completion the learning curve was reached after a considerable number of 57 cases.

Autoimmune Diseases May Increase Adverse Cardiovascular Events After Percutaneous Coronary Intervention: A Systematic Review and Meta-Analysis.

BACKGROUND: Outcomes of patients with autoimmune diseases after percutaneous coronary intervention (PCI), as compared to those without autoimmune disease, remain unclear. METHODS: We searched Medline, EMBASE, and the Cochrane Library from their inception to 1 April 2017. All studies comparing the following outcomes of patients with and without autoimmune diseases after PCI were included: long-term mortality, major adverse cardiovascular events (MACE), repeat revascularisation, myocardial ischaemia or myocardial infarction (MI), restenosis, and in-hospital mortality. The Newcastle-Ottawa Quality Assessment Scale (NOS) and the quality assessment form of the Agency for Healthcare Research and Quality (USA) (AHRQ) were used for assessing the risk of bias, and the certainty of evidence was rated by the Grading of Recommendations Assessment, Development, and Evaluation (GRADE). RESULTS: A total of 11 studies were included in our analysis. Compared with patients without autoimmune diseases, those with autoimmune diseases carried an increased risk of MACEs (relative risk (RR): 2.24, 95% confidence interval (CI): 1.20-4.16; heterogeneity: p=0.128, I2=56.9%), repeat revascularisation (RR: 1.66, 95% CI 95%: 1.01-2.72; heterogeneity: p=0.057, I2=65.1%), ischaemia or MI (RR: 2.80, 95% CI: 1.38-5.65; heterogeneity: p=0.871, I2=0.0%), and restenosis (RR: 2.06, 95% CI: 1.39-3.07; heterogeneity: p=0.665, I2=0.0%) during the one-year follow-up after PCI, and carried an increased risk of MACEs (RR: 1.10, 95% CI: 1.04-1.17) and death (RR: 1.38, 95% CI: 1.25-1.51) during the 11-year follow-up after PCI. CONCLUSIONS: Evidence of very low quality showed that during the one-year follow-up period, patients with autoimmune diseases after PCI were more likely to experience MACEs, repeat revascularisation, myocardial ischaemia or MI, and restenosis. During the 11-year follow-up period, patients with autoimmune diseases after PCI were more likely to die. It is therefore important to watch for restenosis, repeat ischaemia or MI and other adverse events more carefully in patients with autoimmune diseases after PCI.

Changbai Mountain Ginseng (Panax ginseng C.A. Mey) Extract Supplementation Improves Exercise Performance and Energy Utilization and Decreases Fatigue-Associated Parameters in Mice.

Changbai Mountain Ginseng (CMG, Panax ginseng C.A. Mey) is a traditional medicine commonly found in Northeast China and grows at elevations of 2000 m or higher in the Changbai Mountain Range. CMG, considered to be a "buried treasure medicine", is priced higher than other types of ginseng. However, few studies have demonstrated the effects of CMG supplementation on exercise performance, physical fatigue, and the biochemical profile. The major compound of CMG extract was characterized by electrospray ionization tandem mass spectrometry (HPLC-ESI-MS/MS). Male ICR mice were divided into 3 groups, the vehicle, CMG-1X and CMG-5X groups (n = 8 per group), and respectively administered 0, 5, or 25 mg/kg/day of CMG extract orally for four weeks. HPLC-ESI-MS/MS results showed that the major compound in CMG extract is ginsenoside Ro. CMG extract significantly increased muscle weight and relative muscle weight (%). CMG extract supplementation dose-dependently increased grip strength (p < 0.0001) and endurance swimming time, decreased levels of serum lactate (p < 0.0001), ammonia (p < 0.0001), creatine kinase (CK, p = 0.0002), and blood urea nitrogen (p < 0.0001), and economized glucose levels (p < 0.0001) after acute exercise challenge. The glycogen in the gastrocnemius muscle was significantly increased with CMG extract treatment. Biochemical profile results showed that creatinine and triacylglycerol significantly decreased and total protein and glucose increased with CMG treatment. This is the first report that CMG extract supplementation increases muscle mass, improves exercise performance and energy utilization, and decreases fatigue-associated parameters in vivo. The major component of CMG extract is ginsenoside Ro, which could be a potential bioactive compound for use as an ergogenic aid ingredient by the food industry.

Left ventricular filling pressure assessed by exercise TDI was correlated with early HFNEF in patients with non-obstructive hypertrophic cardiomyopathy.

BACKGROUND: Hypertrophic cardiomyopathy (HCM) patients are more susceptible to suffer from heart failure with normal ejection fraction (HFNEF). Therefore, it is critical to evaluate the relationship between left ventricular filling pressure (LVFP) and HFNEF, even if a large proportion of HCM patients have normal LVFP at rest. The objective was to assess the correlation between exercise tissue Doppler imaging (TDI) and early HFNEF in HCM patients by treadmill exercise echocardiography combined with cardiopulmonary exercise test (CPET). METHOD: Twenty-seven non-obstructive HCM patients and 31 age- and gender-matched healthy volunteers were enrolled in this study. All subjects underwent treadmill exercise echocardiography combined with CPET. N-terminal pro-brain natriuretic peptide (NT-proBNP) levels were analyzed before and after exercise. RESULT: Five HCM patients had normal LVFP at rest and increased after exercise. For this subgroup, the relationship between minute ventilation and carbon dioxide production (VE/VCO2 slope) and NT-proBNP levels were higher compared with controls and the subgroup with normal resting and stress LVFP, but was similar to the subgroup with elevated LVFP both at rest and after exercise. CONCLUSION: Elevated LVFP after exercise suggested the occurrence of early HFNEF in patients with non-obstructive HCM.

Influence of repeated bouts of table tennis training on cardiac biomarkers in children.

It is documented that exercise can increase serum cardiac troponins in adults and adolescents; however, there is a lack of related studies concerning the release of cardiac troponins in children. This study investigated the influence of table tennis training on cardiac biomarkers in children. Twenty-eight male children performed six 10-min forehand exercise sessions with 5-min recovery intervals. Serum cardiac troponin T (cTnT) and I (cTnI), and creatinine kinase isoenzyme MB (CK-MB) were assessed before exercise, immediately after the last 10 min of exercise (PEI), 4 h post-exercise (PE4), 24 h post-exercise (PE24), and 48 h post-exercise (PE48). Cardiac function was measured using an ultrasound system (GE Vivid7 Dimension) at rest state. Serum cTnT, cTnI, and CK-MB were significantly elevated from the PEI sample point, and returned to baseline at the PE48 sample point in children. Serum cTnT in four (14.29%), nine (32.14%), and two (7.14%) subjects at the PEI, PE4, and PE24 sample points, respectively, exceeded the cutoff for myocardial injury. At the PE4 sample point, cTnT in five subjects (17.86%) exceeded the cutoff for acute myocardial infarction. Serum cTnI in two (14.29%), seven (25%), and two (7.14 %) subjects at the PEI, PE4, and PE24 timepoints, respectively, exceeded the cutoff for myocardial injury. cTnI in two subjects (7.14%) exceeded the cutoff for acute myocardial infarction at the PE4 timepoint in children. Repeated bouts of table tennis forehand training can significantly increase the release of serum cardiac troponins in some children.

Transformative skeletal motion analysis: optimization of exercise training and injury prevention through graph neural networks.

Introduction: Exercise is pivotal for maintaining physical health in contemporary society. However, improper postures and movements during exercise can result in sports injuries, underscoring the significance of skeletal motion analysis. This research aims to leverage advanced technologies such as Transformer, Graph Neural Networks (GNNs), and Generative Adversarial Networks (GANs) to optimize sports training and mitigate the risk of injuries. Methods: The study begins by employing a Transformer network to model skeletal motion sequences, facilitating the capture of global correlation information. Subsequently, a Graph Neural Network is utilized to delve into local motion features, enabling a deeper understanding of joint relationships. To enhance the model's robustness and adaptability, a Generative Adversarial Network is introduced, utilizing adversarial training to generate more realistic and diverse motion sequences. Results: In the experimental phase, skeletal motion datasets from various cohorts, including professional athletes and fitness enthusiasts, are utilized for validation. Comparative analysis against traditional methods demonstrates significant enhancements in specificity, accuracy, recall, and F1-score. Notably, specificity increases by ~5%, accuracy reaches around 90%, recall improves to around 91%, and the F1-score exceeds 89%. Discussion: The proposed skeletal motion analysis method, leveraging Transformer and Graph Neural Networks, proves successful in optimizing exercise training and preventing injuries. By effectively amalgamating global and local information and integrating Generative Adversarial Networks, the method excels in capturing motion features and enhancing precision and adaptability. Future research endeavors will focus on further advancing this methodology to provide more robust technological support for healthy exercise practices.

The biological functions of protein S-sulfhydration in eukaryotes and the ever-increasing understanding of its effects on bacteria.

As a critical endogenous signaling molecule, hydrogen sulfide may induce reversible post-translational modifications on cysteine residues of proteins, generating a persulfide bond known as S-sulfhydration. A systemic overview of the biofunctions of S-sulfhydration will equip us better to characterize its regulatory roles in antioxidant defense, inflammatory response, and cell fate, as well as its pathological mechanisms related to cardiovascular, neurological, and multiple organ diseases, etc. Nevertheless, the understanding of S-sulfhydration is mostly built on mammalian cells and animal models. We subsequently summarized the mediation effects of this specific post-transcriptional modification on physiological processes and virulence in bacteria. The high-sensitivity and high-throughput detection technologies are required for studying the signal transduction mechanism of H2S and protein S-sulfhydration modification. Herein, we reviewed the establishment and development of different approaches to assess S-sulfhydration, including the biotin-switch method, modified biotin-switch method, alkylation-based cysteine-labelled assay, and Tag-switch method. Finally, we discussed the limitations of the impacts of S-sulfhydration in pathogens-host interactions and envisaged the challenges to design drugs and antibiotics targeting the S-sulfhydrated proteins in the host or pathogens.

Characteristic wavelength optimization for partial least squares regression using improved flower pollination algorithm.

Wavelength selection is crucial to the success of near-infrared (NIR) spectroscopy analysis as it considerably improves the generalization of the multivariate model and reduces model complexity. This study proposes a new wavelength selection method, interval flower pollination algorithm (iFPA), for spectral variable selection in the partial least squares regression (PLSR) model. The proposed iFPA consists of three phases. First, the flower pollination algorithm is applied to search for informative spectral variables, followed by variable elimination. Subsequently, the iFPA performs a local search to determine the best continuous interval spectral variables. The interpretability of the selected variables is assessed on three public NIR datasets (corn, diesel and soil datasets). Performance comparison with other competing wavelength selection methods shows that the iFPA used in conjunction with the PLSR model gives better prediction performance, with the root mean square error of prediction values of 0.0096-0.0727, 0.0015-3.9717 and 1.3388-29.1144 are obtained for various responses in corn, diesel and soil datasets, respectively.

New approach for sugarcane disease recognition through visible and near-infrared spectroscopy and a modified wavelength selection method using machine learning models.

The proliferation of pathogenic fungi in sugarcane crops poses a significant threat to agricultural productivity and economic sustainability. Early identification and management of sugarcane diseases are therefore crucial to mitigate the adverse impacts of these pathogens. In this study, visible and near-infrared spectroscopy (380-1400 nm) combined with a novel wavelength selection method, referred to as modified flower pollination algorithm (MFPA), was utilized for sugarcane disease recognition. The selected wavelengths were incorporated into machine learning models, including Naïve Bayes, random forest, and support vector machine (SVM). The developed simplified SVM model, which utilized the MFPA wavelength selection method yielded the best performances, achieving a precision value of 0.9753, a sensitivity value of 0.9259, a specificity value of 0.9524, and an accuracy of 0.9487. These results outperformed those obtained by other wavelength selection approaches, including the selectivity ratio, variable importance in projection, and the baseline method of the flower pollination algorithm.