Accurately identifying positive and negative regulation of apoptosis using fusion features and machine learning methods.

Apoptotic proteins play a crucial role in the apoptosis process, ensuring a balance between cell proliferation and death. Thus, further elucidating the regulatory mechanisms of apoptosis will enhance our understanding of their functions. However, the development of computational methods to accurately identify positive and negative regulation of apoptosis remains a significant challenge. This work proposes a machine learning model based on multi-feature fusion to effectively identify the roles of positive and negative regulation of apoptosis. Initially, we constructed a reliable benchmark dataset containing 200 positive regulation of apoptosis and 241 negative regulation of apoptosis proteins. Subsequently, we developed a classifier that combines the support vector machine (SVM) with pseudo composition of k-spaced amino acid pairs (PseCKSAAP), composition transition distribution (CTD), dipeptide deviation from expected mean (DDE), and PSSM-composition to identify these proteins. Analysis of variance (ANOVA) was employed to select optimized features that could yield the maximum prediction performance. Evaluating the proposed model on independent data revealed and achieved an accuracy of 0.781 with an AUROC of 0.837, demonstrating our model's potent capabilities.

Association between Parkinson disease and selenium levels in the body: A systematic review and meta-analysis.

BACKGROUND: Parkinson disease (PD) is a common neurodegenerative disorder, but its pathogenesis is still not entirely understood. While some trace elements, such as selenium, iron, and copper, are considered pivotal in PD onset due to their role in oxidative stress, the association between selenium concentrations and PD susceptibility remains ambiguous. METHODS: A systematic review and meta-analysis was conducted in adherence to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and framed by the Patient, Intervention, Comparison, Outcome paradigm. Data were sourced from 4 prominent electronic databases: PubMed, Embase, Web of Science, and Cochrane Library. Eligible studies must have had a PD case group and a control group, both of which presented data on selenium concentrations. The quality of the studies was assessed using the Newcastle-Ottawa Scale. RESULTS: Of 1541 initially identified articles, 12 studies comprising a total of 597 PD cases and 733 controls were selected for the meta-analysis. Pronounced heterogeneity was observed among these studies. When assessing blood selenium levels, no significant difference was found between patients with PD and the controls. However, when examining the cerebrospinal fluid, selenium levels in PD patients were significantly elevated compared to controls (standard mean difference = 1.21, 95% CI 0.04-2.39, P < .05). Subgroup analyses, sensitivity analyses, and evaluation of publication bias were performed to ensure data robustness. CONCLUSIONS: Elevated selenium levels in cerebrospinal fluid may be associated with a higher risk of Parkinson. Further prospective research is required to solidify this potential link and to offer avenues for novel therapeutic interventions or preventive measures.

Effect of online game policy on smartphone game play time, addiction, and emotion in rural adolescents of China.

BACKGROUND: Smartphone game addiction has emerged as a major public health problem in China and worldwide. In November 2019 and August 2021, the National Press and Publication Administration of China implemented two increasingly strict policies, as a means of preventing smartphone game addiction in adolescents aged 18 or below. This study aimed to analyze the effect of the policies on smartphone game play time, addiction, and emotion among rural adolescents in China. METHODS: We sent the questionnaire to rural adolescents through the online survey tool Questionnaire Star, a professional online survey evaluation platform. The questionnaire included demographic data, smartphone use survey, smartphone game addiction and emotion evaluation scales. The Smartphone Addiction Scale-Short Version (SAS-SV) measured adolescents' smartphone game addiction. The Short Version of UPPS-P Impulsive Behavior Scale (SUPPS-P) and Social Anxiety Scale for Children (SASC) measured emotion. According to SAS-SV score, the enrolled rural adolescents were divided into addiction group and non-addiction group. The t-test, Chi-square test, and repeated measure ANOVA assessed the effect of the policies on adolescents' smartphone game addiction and emotion. RESULTS: Among enrolled 459 rural adolescents with a mean age of 14.36 ± 1.37years, 151 (32.90%) were in the addiction group and 308 (67.10%) were in the non-addiction group. Adolescents in the addiction group were older, more male, and higher grade. There were time and group effects between the two groups in playtime. After a year of policies implementation, the weekly game time dropped from 3.52 ± 1.89 h to 2.63 ± 1.93 h in the addiction group and from 2.71 ± 1.75 h to 2.36 ± 1.73 h in the non-addiction group. There were also time and group effects in SAS-SV and SASC scores, but not for SUPPS-P score. In the addiction group, the SAS-SV score dropped from 41.44 ± 7.45 to 29.58 ± 12.43, which was below the cut-off value for addiction, and the level of social anxiety was consistently higher than non-addiction group. CONCLUSIONS: The playtime of rural adolescents spent on smartphone games has decreased significantly due to the restriction of the policies rather than the lack of addiction or social anxiety. The policies had practically significant effects in reducing smartphone game play time for rural adolescents in China.

Two-Drug Combinations Therapy of Different Doses of Valsartan Existing Diverse Significance for Hypertensive Patients.

Background: The incidence of hypertension and clinical complications (e.g., heart, cerebrovascular and kidney injury) is increasing worldwide. It is widely known that a relatively large dose of valsartan (320 mg) could alleviate clinical complications. The current network meta-analysis assessed which drug could be combined with a relatively large dose of valsartan to control blood pressure (BP) more effectively. And which combination therapy with different dosages of valsartan did not induce excessive BP reduction with increasing dosages of valsartan. Methods: The PubMed, Embase, Medline, Cochrane Library, CNKI, Wanfang, and CSTJ databases were searched from inception to October 2022 for relevant randomized controlled trials (RCTs). The search strategies included concepts related to hypertension and two-drug combination therapy of different doses of valsartan, and there were no language or data restrictions. The outcomes included adverse effects and changes in systolic BP and diastolic BP. Permanent discontinuations related to treatment were the most accurate and objective measure of adverse effects. The common adverse effects of most studies (i.e., dizziness, headache, nasopharyngitis, asthenia and urticaria) were also included. A Bayesian network meta-analysis was performed, and mean differences with 95% confidence intervals were calculated. ADDIS and STATA were used for Bayesian model network meta-calculation. Results: Thirty-four RCTs were included involving 26,752 patients, and the interventions included different doses of valsartan combined with various types and doses of drugs. Among many combination therapies, the combination of valsartan 320 mg with amlodipine 10 mg (p < 0.01) had the best antihypertensive effect without significant adverse effects. Compared with valsartan 80 mg and 160 mg, valsartan 320 mg combined with hydrochlorothiazide 25 mg (p > 0.05) did not further reduce BP and was not shown to increase the incidence of adverse effects. Conclusions: Combination therapy with a relatively large dose of valsartan could control BP and improve clinical complications effectively. However, for hypertensive patients with different treatment requirements, specific choices should be made regarding whether to control BP, treat clinical complications, or both.

Graphitic biochar with in situ confined magnetic iron oxides via synchronous pyrolysis of lignin as an effective H2O2 activator for fast degradation of organic pollutants.

Magnetic iron oxide confined in carbon capsules/biochar composite (FeOx@g-BC) was created using in-situ synchronous pyrolysis of alkali lignin as a low-cost carbon source. Characterization results indicated the FeOx was confined in carbon nanotubes and carbon capsules, inhibiting growing of nanoparticles and deactivation. The composite catalyst demonstrated significant activity in activating H2O2 for the degradation of persistent organic pollutants in water over a wide pH range. Particularly, tetracycline (TC) could be completely degraded within 25 min, even at a high pH of 6.8, which performed much better than previously reported Fenton-like catalysts. Moreover, the excellent magnetism of FeOx@g-BC aided in its recovery and reuse. The stability of FeOx@g-BC recycling was also measured by continuous cycles of reactions. According to ESR analysis and free radical quenching studies, OH and 1O2 were discovered as the dominant active species governing the degradation of TC, and two pathways of TC degradation were proposed. This study developed a novel heterogeneous catalyst for catalytic degradation of persistent organic contaminants in water by the value-added usage of lignin.

Transcriptomic Features of Echinococcus granulosus Protoscolex during the Encystation Process.

Cystic echinococcosis (CE) is a zoonotic infection caused by Echinococcus granulosus larvae. It seriously affects the development of animal husbandry and endangers human health. Due to a poor understanding of the cystic fluid formation pathway, there is currently a lack of innovative methods for the prevention and treatment of CE. In this study, the protoscoleces (PSCs) in the encystation process were analyzed by high-throughput RNA sequencing. A total of 32,401 transcripts and 14,903 cDNAs revealed numbers of new genes and transcripts, stage-specific genes, and differently expressed genes. Genes encoding proteins involved in signaling pathways, such as putative G-protein coupled receptor, tyrosine kinases, and serine/threonine protein kinase, were predominantly up-regulated during the encystation process. Antioxidant enzymes included cytochrome c oxidase, thioredoxin glutathione, and glutathione peroxidase were a high expression level. Intriguingly, KEGG enrichment suggested that differentially up-regulated genes involved in the vasopressin-regulated water reabsorption metabolic pathway may play important roles in the transport of proteins, carbohydrates, and other substances. These results provide valuable information on the mechanism of cystic fluid production during the encystation process, and provide a basis for further studies on the molecular mechanisms of growth and development of PSCs.

Effects of different priming doses of fentanyl on fentanyl-induced cough: a double-blind, randomized, controlled study.

BACKGROUND: Fentanyl-induced cough is not an uncommon phenomenon during the induction of general anesthesia. A preliminary randomized controlled study was designed to observe the effects of different priming doses of fentanyl on fentanyl-induced cough during induction of anesthesia. METHODS: Four hundred patients were randomized into four groups (n = 100 for each). Group I received 5 ml saline 0.9% 1 min before administration of fentanyl 2.5 µg/kg; group II received pre-emptive fentanyl 0.5 µg/kg 1 min before administration of fentanyl 2 µg/kg; group III received pre-emptive fentanyl 1 µg/kg 1 min before administration of fentanyl 1.5 µg/kg; and group IV received pre-emptive fentanyl 1.5 µg/kg 1 min before administration of fentanyl 1 µg/kg. The severity of cough was graded as none (0), mild (1-2), moderate (3-4), or severe (5 or more episodes). We defined T1 and T2 as the 1 min periods after the first and second injections, respectively, and recorded the number of patients whose first cough happened in the T1 or T2 period. RESULTS: The incidences of fentanyl-induced cough were 68%, 5%, 40% and 64% in groups I, II, III and IV, respectively. The incidence of cough in group II was lower than those in groups III and IV in the T1 period. The incidences of cough in groups II, III and IV were lower than that in group I in the T2 period. CONCLUSIONS: In summary, a priming dose of fentanyl 0.5 µg/kg suppressed fentanyl-induced cough during induction of anesthesia in clinical practice. Fentanyl-induced cough was positively correlated with the dose of fentanyl.

Epithelial-mesenchymal transition induced by hepatitis C virus core protein in cholangiocarcinoma.

BACKGROUND: Cholangiocarcinoma (CC) is associated with chronic hepatitis C virus (HCV) infection. We investigated the effect of hepatitis C virus core protein (HCVc) on epithelial-mesenchymal transition (EMT) in CC and tried to identify its target trigger. METHODS: First, we examined expression of HCVc and epithelial and mesenchymal markers in CC tissues. Then we transient-transfected HCVc gene into a CC cell line and examined expression of lysyl oxidase-like 2 (LOXL2) and epithelial and mesenchymal markers by quantitative real-time polymerase chain reaction (PCR) and Western blotting. Finally, LOXL2 gene silencing was shown in QBC939/HCVc cells by RNA interference (RNAi), and we further examined expression of epithelial and mesenchymal markers by quantitative real-time PCR and Western blotting. RESULTS: Through immunohistochemical staining, the present study showed that HCVc is significantly associated with CC invasion and metastasis. In vitro study showed that HCVc expression induces EMT in CC cell line QBC939, and a mechanism through LOXL2 pathway is suggested. Expression of HCVc was significantly correlated with greater migratory and invasive potential of CC cells. CONCLUSIONS: These observations indicate that HCVc plays a critical role in promoting invasion and metastasis of CC cells.

[Study on thulium oxide nanoparticles modulating electro-optics characteristics of polymer dispersed liquid crystals].

By adding the thulium oxide nanoparticles (NP) of Gd2 O3 and Eu2O3 and Nd2O3 to polymer dispersed liquid crystals (PDLC), and the transmittances of PDLC and NP-PDLC changing with voltage in visible light was tested, and the thulium oxide modulation for PDLC was studied. The results show that transmittance of Gd2O3-NP-PDLC decreases with increasing voltage when the voltage is less than 10 V. The relaxation phenomenon of the sample appears at 15 V, and its transmittance curve fluctuates slightly around that at 10 V. The transmittance of Gd2O3-NP-PDLC increases rapidly at 20 V, and its filter phenomenon emerges. And the transmittance of Eu2O3-NP-PDLC decreases with increasing voltage, but the decrease is only slight. And the transmittance of Nd2O3-NP-PDLC changes with voltage insignificantly.

Tetragonal distortions of some tetragonal Cr3+ centers in fluoroperovskite ABF3 crystals.

The tetragonal distortions [characterized by the displacement DeltaR of the F(-) ion intervening in Cr(3+) and V(B) (B(2+) vacancy) or M(+) ion in B(2+) site] for Cr(3+)-V(B) and Cr(3+)-Li(+) centers in Cr(3+)-doped fluoroperovskites KBF(3) (B=Mg, Zn) and ACdF(3) (A=K, Rb, Cs) and also for Cr(3+)-Na(+) center in KZnF(3) have been studied by calculating the EPR parameters D, g(parallel) and g(perpendicular) from the crystal-field theory. From the studies, an interesting trend is suggested, i.e., when the size of the co-doped monovalent impurity M(+) in the nearest neighbor B(2+) site is comparable to that of the replaced B(2+) ion, the displacement DeltaR of the intervening F(-) ion in Cr(3+)-M(+) center is smaller than that in Cr(3+)-V(B) center and if the M(+) iron is much smaller or much larger than that of the replaced B(2+) ion, the displacement DeltaR in Cr(3+)-M(+) center is greater than that in Cr(3+)-V(B) center. The causes of the trend are discussed.