Development and reproduction of Scirtothrips dorsalis (Thysanoptera: Thripidae) on six host plant species.

Host plants can strongly influence the population performance of insects. Here, we investigated the development, survival, and oviposition of Scirtothrips dorsalis Hood on 6 host plants-Camellia sinensis ( L.) Kuntze (Ericales: Theaceae), Rosa chinensis Jacq. (Rosales: Rosaceae), Capsicum annuum L. (Solanales: Solanaceae), Eustoma grandiflorum (Hook.) G.Don (Gentianales: Gentianaceae), Glycine max (L.) Merr. (Fabales: Fabaceae), and Cucumis sativus L. (Cucurbitales: Cucurbitaceae), and constructed life tables for S. dorsalis on each plant. Significant differences in S. dorsalis development on the host species were observed. The mean developmental period from egg to adult was 11.45 ±â€…0.12 days, 11.24 ±â€…0.13 days, 12.08 ±â€…0.15 days, 12.28 ±â€…0.12 days, 12.67 ±â€…0.10 days, and 13.03 ±â€…0.11 days on C. sinensis, R. chinensis, C. annuum, E. grandiflorum, G. max, and C. sativus, respectively. Significant differences in survival of S. dorsalis were observed, namely, C. sinensis ≈ R. chinensis > E. grandiflorum ≈ C. annuum > G. max > C. sativus. The highest and lowest fecundities of S. dorsalis were recorded on R. chinensis (60.44 ±â€…1.53) and C. sativus (28.64 ±â€…1.02), respectively. Both of the net reproductive rate (R0) and intrinsic rate of increase (rm) of S. dorsalis were the highest on R. chinensis, with the values of 27.63 ±â€…0.58 and 0.142 ±â€…0.002, respectively; while the lowest on C. sativus, with the values of 8.81 ±â€…0.12 and 0.092 ±â€…0.003, respectively. Thus, R. chinensis was found to be the most suitable host, but C. sativus was the least suitable, for population development of S. dorsalis. Our results provide important information for the key control of S. dorsalis among different host plants.

Mental simulation of colour properties during language comprehension: influence of context and comprehension stages.

Many studies have shown that mental simulation may occur during language comprehension. Supporting evidence is derived from the matching effects in the sentence-picture verification (SPV) task often used to assess mental simulations of object properties, such as size, orientation, and shape. However, mixed results have been obtained regarding object colour, with researchers reporting matching or mismatching effects. This study investigated the impact of colour information clarity within sentences on the process of mental simulation during language comprehension. Employing the SPV task and using novel objects, we examined whether there is a mental simulation of colour after excluding typical/atypical colour bias and how varying levels of colour information clarity in sentences influence the emergence of matching effects at different stages of comprehension. To address these issues, we conducted two experiments. In Experiment 1, the participants read normal sentences and subsequently engaged in picture verification with a novel object after a 500 ms delay. In Experiment 2, the participants encountered sentences containing both clear and unclear colour information and, after either a 0 ms or 1500 ms interval, completed picture verification tasks with a novel object. Null effects were found in the 500 ms condition for normal sentences and the 0 ms condition for unclear colour information sentences. A mismatching effect appeared in the 0 ms condition after clear colour information sentences, and a matching effect appeared in the 1500 ms condition for all sentences. The results indicated that after excluding colour bias, the participants still formed mental simulations of colour during language comprehension. Our results also indicated that ongoing colour simulation with time pressure impacted the participant responses. The participants ignored unclear colour information under time pressure, but without time pressure, they constructed simulations that were as detailed as possible, regardless of whether the implicit colour information in the sentence was clear.

Color Duplex Ultrasonography for the Evaluation of Innominate, Subclavian, and Common Carotid Artery Stenosis.

OBJECTIVE: This study aimed to validate the efficiency of Doppler ultrasonography for predicting the innominate, subclavian, and common carotid artery stenosis. METHODS: This retrospective multicenter study between 2013 and 2022 enrolled 636 patients who underwent carotid Doppler ultrasonography and subsequent digital subtraction angiography. And 58 innominate artery stenosis, 147 common carotid artery stenosis, and 154 subclavian artery stenosis were included. The peak systolic velocity at innominate, subclavian, and common carotid artery, and velocity ratios of innominate artery to common carotid artery, innominate artery to subclavian artery, and common carotid artery to internal carotid artery were measured or calculated. The threshold values were determined using receiver operating characteristic analysis. RESULTS: The threshold values of innominate artery stenosis were peak systolic velocity >206 cm/s (sensitivity: 82.8%; specificity: 91.4%) to predict ≥50% stenosis and >285 cm/s (sensitivity: 89.2%; specificity: 94.9%) to predict ≥70% stenosis. The threshold values of common carotid artery stenosis were peak systolic velocity >175 cm/s (sensitivity: 78.2%; specificity: 91.9%) to predict ≥50% stenosis and >255 cm/s (sensitivity: 87.1%; specificity: 87.2%) to predict ≥70% stenosis. The threshold values of subclavian artery stenosis were peak systolic velocity >200 cm/s (sensitivity: 68.2%; specificity: 84.4%) to predict ≥50% stenosis and >305 cm/s (sensitivity: 57.9%; specificity: 91.4%) to predict ≥70% stenosis. CONCLUSIONS: Symptomatic patients with ultrasonic parameters of velocity at innominate artery ≥206 cm/s, velocity at common carotid artery ≥175 cm/s, or velocity at subclavian artery ≥200 cm/s need to be considered for further verification and whether revascularization is necessary.

Establishment and validation of a gene mutation-based risk model for predicting prognosis and therapy response in acute myeloid leukemia.

Background: Acute myeloid leukemia (AML) is a malignant clonal proliferative disease of hematopoietic system. Despite tremendous progress in uncovering the AML genome, only a small number of mutations have been incorporated into risk stratification and used as therapeutic targets. In this research, we performed to construct a predictive prognosis risk model for AML patients according to gene mutations. Methods: Next-generation sequencing (NGS) technology was utilized to detect gene mutation from 118 patients. mRNA expression profiles and related clinical information were mined from TCGA and GEO databases. Consensus cluster analysis was applied to obtain molecular subtypes, and differences in clinicopathological features, prognosis, and immune microenvironment of different clusters were systematically compared. According to the differentially expressed genes (DEGs) between clusters, univariate and LASSO regression analysis were applied to identify gene signatures to build a prognostic risk model. Patients were classified into high-risk (HR) and low-risk (LR) groups according to the median risk score (RS). Differences in prognosis, immune profile, and therapeutic sensitivity between two groups were analyzed. The independent predictive value of RS was assessed and a nomogram was developed. Results: NGS detected 24 mutated genes, with higher mutation frequencies in CBL (63 %) and SETBP1 (49 %). Two clusters exhibited different immune microenvironments and survival probability (p = 0.0056) were identified. A total of 444 DEGs were screened in two clusters, and a mutation-associated risk model was constructed, including MPO, HGF, SH2B3, SETBP1, HLA-DRB1, LGALS1, and KDM5B. Patients in LR had a superior survival time compared to HR. Predictive performance of this model was confirmed and the developed nomogram further improved the applicability of the risk model with the AUCs for predicting 1-, 3-, 5-year survival rate were 0.829, 0.81 and 0.811, respectively. HR cases were more sensitive to erlotinib, CI-1040, and AZD6244. Conclusion: These findings supplemented the understanding of gene mutations in AML, and constructed models had good application prospect to provide effective information for predicting prognosis and treatment response of AML.

Effect of care bundles based on importance degree analysis on postoperative comorbid state, coping style and disease management ability of patients with coronary heart disease.

Coronary heart disease (CHD) is a significant global health concern, particularly among the elderly. While care bundles present a comprehensive strategy for clinical disorders, their application in CHD rehabilitation remains understudied. This research addresses this gap by investigating the effectiveness of care bundles in CHD patients. By analyzing important performance degrees, we aim to contribute valuable insights to bridge existing knowledge deficiencies. Our study strives to establish a theoretical foundation for the broader implementation of care bundles, potentially improving the quality of care and patient outcomes in CHD rehabilitation. This is a retrospective study. 360 patients with CHD who were admitted to our hospital from January 2019 to October 2022 were enrolled in this retrospective study and divided into the observation group (n = 180) and control group (n = 180) according to the different care that they received. All cases were given routine nursing after CHD operation, and the observation group was given care bundles on the basis of the analysis of important performance degrees. The perioperative indexes, self-management ability score, depression, anxiety, stress scale (DASS), coping styles, medical compliance and the incidence of complications were compared between the 2 groups. Aftercare, the time of hospitalization and getting out-of-bed in the observation group was notably shorter (P < .05). Aftercare, the scores of self-management ability and related dimensions in the observation group were notably higher (P < .05). After care, the score of depression (P < .001), anxiety (P = .003) and stress (P = .017) of the observation group were notably lower. Aftercare, the observation group face score was significantly higher than the control group (P = .005), while the observation group avoidance score (P = .028) and yield score (P < .001) were significantly lower than the control group scores. Aftercare, the compliance behavior of patients in the observation group was notably better (P = .013). Aftercare, the incidence of complications in the observation group was notably lower (P = .039). Care bundles based on the degree of importance analysis can play a positive role in postoperative comorbid state, coping styles and self-management ability of patients with CHD, which can improve the rehabilitation effects on patients.

Men's symptom experience throughout androgen deprivation therapy for prostate cancer: A systematic review and meta-aggregation.

BACKGROUND: Androgen deprivation therapy is a common treatment for men with advanced prostate cancer. They have experienced many complex symptoms that affect their quality of life. However, qualitative reviews that synthesize the symptom experience for men with prostate cancer are lacking. OBJECTIVE: To explore the men's symptom experience throughout androgen deprivation therapy for prostate cancer. DESIGN: A qualitative evidence synthesis using meta-aggregation. DATA RESOURCES: Published and unpublished literature between January 2001 and August 2023 were identified from PubMed, Embase (Ovid), Web of Science, Cumulative Index to Nursing and Allied Health Literature (CINAHL), The Cochrane Library, ProQuest, Google Scholar, China National Knowledge Infrastructure (CNKI), Wang Fang, and VIP. REVIEW METHODS: Two reviewers independently conducted screening, study selection and data extraction, and quality appraisal was performed using the Joanna Briggs Institutes Critical Appraisal Checklist for Qualitative Research. Data synthesis was conducted using meta-aggregative approach. RESULTS: 24 articles of moderate to high methodological quality were included. A total of 98 findings were extracted with 59 unequivocal or equivocal findings eligible for meta-aggregation, aggregated into nine categories, and developed four synthesized findings: (1) production of symptoms: unrecognized and underestimated, (2) perception of symptoms: varied and complicated, (3) meaning of symptoms: threatened and affected, and (4) response to symptoms: push and pull. CONCLUSIONS: Men throughout androgen deprivation for prostate cancer experience the four crisis-packed stages in their symptomatic journey. Health care provider need to understand the men's thoughts whether in the process of shared decision-making or in the course of the chosen therapy. Future research should develop individual suitable interventions and offer practical strategies for managing symptom. PROSPERO registration: CRD42023449129.

Exosomal circSIPA1L3-mediated intercellular communication contributes to glucose metabolic reprogramming and progression of triple negative breast cancer.

BACKGROUND: Breast cancer is the most common malignant tumor, and metastasis remains the major cause of poor prognosis. Glucose metabolic reprogramming is one of the prominent hallmarks in cancer, providing nutrients and energy to support dramatically elevated tumor growth and metastasis. Nevertheless, the potential mechanistic links between glycolysis and breast cancer progression have not been thoroughly elucidated. METHODS: RNA-seq analysis was used to identify glucose metabolism-related circRNAs. The expression of circSIPA1L3 in breast cancer tissues and serum was examined by qRT-PCR, and further assessed its diagnostic value. We also evaluated the prognostic potential of circSIPA1L3 by analyzing a cohort of 238 breast cancer patients. Gain- and loss-of-function experiments, transcriptomic analysis, and molecular biology experiments were conducted to explore the biological function and regulatory mechanism of circSIPA1L3. RESULTS: Using RNA-seq analysis, circSIPA1L3 was identified as the critical mediator responsible for metabolic adaption upon energy stress. Gain- and loss-of-function experiments revealed that circSIPA1L3 exerted a stimulative effect on breast cancer progression and glycolysis, which could also be transported by exosomes and facilitated malignant behaviors among breast cancer cells. Significantly, the elevated lactate secretion caused by circSIPA1L3-mediated glycolysis enhancement promoted the recruitment of tumor associated macrophage and their tumor-promoting roles. Mechanistically, EIF4A3 induced the cyclization and cytoplasmic export of circSIPA1L3, which inhibited ubiquitin-mediated IGF2BP3 degradation through enhancing the UPS7-IGF2BP3 interaction. Furthermore, circSIPA1L3 increased mRNA stability of the lactate export carrier SLC16A1 and the glucose intake enhancer RAB11A through either strengthening their interaction with IGF2BP3 or sponging miR-665, leading to enhanced glycolytic metabolism. Clinically, elevated circSIPA1L3 expression indicated unfavorable prognosis base on the cohort of 238 breast cancer patients. Moreover, circSIPA1L3 was highly expressed in the serum of breast cancer patients and exhibited high diagnostic value for breast cancer patients. CONCLUSIONS: Our study highlights the oncogenic role of circSIPA1L3 through mediating glucose metabolism, which might serve as a promising diagnostic and prognostic biomarker and potential therapeutic target for breast cancer.

Non-coordinating counteranion as a powerful tool to tune the activity of copper water oxidation catalysts.

Ten copper-bipyridine-type catalysts, [(bpyR)Cu(OH)2]2+, featuring diverse counteranions (OAc-, Cl-, SO42-, NO3-, OTf-) were synthesized. The observed substantial variations in turnover frequency (TOF) among these catalysts, coupled with insights gained from electrochemical investigations, underscore the pivotal influence of counteranions in fine-tuning the catalytic activity of metal complexes during water oxidation. The TOF value follows the trend of OAc- > Cl- > SO42- > NO3- > OTf-, which is the same as the change of coordinating ability index, a™. Density Functional Theory (DFT) calculations reveal that counteranion coordination plays an important role in influencing the catalytic performance of these complexes.

Detecting mediation effects with the Bayes factor: Performance evaluation and tools for sample size determination.

Testing the presence of mediation effects is important in social science research. Recently, Bayesian hypothesis testing with Bayes factors (BFs) has become increasingly popular. However, the use of BFs for testing mediation effects is still under-studied, despite the growing literature on Bayesian mediation analysis. In this study, we systematically examine the performance of the BF for testing the presence versus absence of a mediation effect. Our results showed that the false and/or true positive rates of detecting mediation with the BF can be impacted by the prior specification, including the prior odds of the presence of each path (treatment-mediator path or mediator-outcome path) used in the design stage for data generation and in the analysis stage for calculating the BF of the mediation effect. Based on our examination, we developed an R function and a web application to determine sample sizes for testing mediation effects with the BF. Our study provides insights on the performance of the BF for testing mediation effects and adds to researchers' toolbox of sample size determination for mediation studies. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Effectiveness of web-based intervention on reducing symptom burden, improving self-management capabilities and self-efficacy among prostate cancer survivors: a systematic review and meta-analysis protocol.

INTRODUCTION: Prostate cancer is the most common malignant disease within the male genitourinary system. Advances in cancer screening and treatment have significantly ameliorated the survival rates of patients with prostate cancer. Nonetheless, prostate cancer survivors report various degrees of cancer-related symptoms. These symptoms cause physiological and psychological suffering, leading to a deterioration of quality of life. Web-based interventions may facilitate the management of symptoms due to their flexibility, accessibility and convenience. However, the efficacy of web-based interventions in reducing symptom burden remains to be confirmed. Consequently, this systematic review and meta-analysis aims to comprehensively synthesise existing evidence, evaluate the effectiveness of web-based interventions in reducing symptom burden among patients and furnish a reference for clinical practice. METHODS AND ANALYSIS: This protocol strictly adheres to the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocol guidelines. We will comprehensively search six databases (PubMed, Web of Science, Cochrane, Embase, CINAHL and PsycINFO) from their inception to March 2024 in order to identify clinical trials on the efficacy of web-based interventions for prostate cancer survivors. Two reviewers will independently conduct study selection, data extraction and quality assessment. The risk bias of included studies will be assessed using the Cochrane Risk of Bias Tool for randomised trials 2.0, and the strength of evidence will be assessed using Grading of Recommendations Assessment, Development and Evaluation (GRADE) guideline. Meta-analysis will be performed using STATA V.16.0, and the effect size will be calculated using the standardised mean difference and its 95% CI. Heterogeneity will be assessed using Cochran's Q statics and inconsistency will be measured using the I2 statistics. Potential sources of bias will be evaluated. ETHICS AND DISSEMINATION: Ethics approval is not required for this review as no human participants will be involved. The results will be disseminated via a peer-reviewed journal or an academic conference. PROSPERO REGISTRATION NUMBER: CRD42023457718.

Prognostic prediction model of colorectal cancer based on preoperative serum tumor markers.

BACKGROUND: Preoperative serum tumor markers not only play a role in the auxiliary diagnosis and postoperative monitoring in colorectal cancer (CRC), but also have been found to have potential prognostic value. AIM: To analyze whether preoperative serum tumor markers, including carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA19-9), affect the prognosis of CRC. METHODS: This was a retrospective study conducted in a single center. Patients with nonmetastatic CRC who underwent initial surgery between January 2011 and January 2020 were enrolled and divided into development site and validation site groups at a ratio of 7:3. The independent prognostic factors were screened by Cox regression analysis, and finally, a prognostic nomogram model was established. The newly developed model was tested by internal validation. RESULTS: Eventually, 3526 postoperative patients with nonmetastatic CRC were included in the study. There were 2473 patients at the development site and 1056 patients at the validation site. Age (P < 0.01, HR = 1.042, 95%CI = 1.033-1.051), tumor node metastasis (TNM) classification (P < 0.01, HR = 1.938, 95%CI = 1.665-2.255), preoperative CEA (P = 0.001, HR = 1.393, 95%CI = 1.137-1.707) and CA19-9 (P < 0.01, HR = 1.948, 95%CI = 1.614-2.438) levels were considered independent prognostic factors for patients with nonmetastatic CRC and were used as variables in the nomogram model. The areas under the curve of the development and validation sites were 0.655 and 0.658, respectively. The calibration plot also showed the significant performance of the newly established nomogram. CONCLUSION: We successfully constructed a nomogram model based on age, TNM stage, preoperative CEA, and CA19-9 levels to evaluate the overall survival of patients with nonmetastatic CRC.

Dietary cinnamaldehyde activation of TRPA1 antagonizes high-salt induced hypertension through restoring renal tubular mitochondrial dysfunction.

BACKGROUND: Renal proximal tubule plays a pivotal role in regulating sodium reabsorption and thus blood pressure. Transient receptor potential ankyrin 1 (TRPA1) has been reported to protect against renal injury by modulating mitochondrial function. We hypothesize that the activation of TRPA1 by its agonist cinnamaldehyde may mitigates high salt intake induced hypertension by inhibiting urinary sodium reabsorption through restoration of renal tubular epithelial mitochondrial function. METHODS: Trpa1-deficient (Trpa1-/-) mice and wild-type (WT) mice were fed standard laboratory chow [normal diet (ND) group, 0.4% salt], standard laboratory chow with 8% salt [high-salt diet (HS) group] or standard laboratory chow with 8% salt plus 0.015% cinnamaldehyde [high-salt plus cinnamaldehyde diet (HSC) group] for six months. Urinary sodium excretion, ROS production, mitochondrial function and the expression of NHE3 and Na+/K+-ATPase of renal proximal tubules were determined. RESULTS: Chronic dietary cinnamaldehyde supplementation reduced tail systolic blood pressure and 24-hour ambulatory arterial pressure in HS-fed WT mice. Compared with the mice fed HS, cinnamaldehyde supplementation significantly increased urinary sodium excretion, inhibited excess ROS production and alleviated mitochondrial dysfunction of renal proximal tubules in WT mice. However, these effects of cinnamaldehyde were absent in Trpa1-/- mice. Furthermore, chronic dietary cinnamaldehyde supplementation blunted HS-induced upregulation of NHE3 and Na+/K+-ATPase in WT mice but not Trpa1-/- mice. CONCLUSION: The present study demonstrated that chronic activation of Trpa1 attenuates HS-induced hypertension by inhibiting urinary sodium reabsorption through restoring renal tubular epithelial mitochondrial function. Renal TRPA1 may be a potential target for the management of excessive dietary salt intake-associated hypertension.

Tumor-derived extracellular vesicles regulate macrophage polarization: role and therapeutic perspectives.

Extracellular vesicles (EVs) are important cell-to-cell communication mediators. This paper focuses on the regulatory role of tumor-derived EVs on macrophages. It aims to investigate the causes of tumor progression and therapeutic directions. Tumor-derived EVs can cause macrophages to shift to M1 or M2 phenotypes. This indicates they can alter the M1/M2 cell ratio and have pro-tumor and anti-inflammatory effects. This paper discusses several key points: first, the factors that stimulate macrophage polarization and the cytokines released as a result; second, an overview of EVs and the methods used to isolate them; third, how EVs from various cancer cell sources, such as hepatocellular carcinoma, colorectal carcinoma, lung carcinoma, breast carcinoma, and glioblastoma cell sources carcinoma, promote tumor development by inducing M2 polarization in macrophages; and fourth, how EVs from breast carcinoma, pancreatic carcinoma, lungs carcinoma, and glioblastoma cell sources carcinoma also contribute to tumor development by promoting M2 polarization in macrophages. Modified or sourced EVs from breast, pancreatic, and colorectal cancer can repolarize M2 to M1 macrophages. This exhibits anti-tumor activities and offers novel approaches for tumor treatment. Therefore, we discovered that macrophage polarization to either M1 or M2 phenotypes can regulate tumor development. This is based on the description of altering macrophage phenotypes by vesicle contents.

Successful treatment of a rare giant accessory cavitated uterine mass: a case report.

An accessory cavitated uterine mass (ACUM) is a very rare obstructive genital malformation characterized by pelvic pain and severe dysmenorrhea. It is easily mistaken for other obstructive genital malformations in women, such as cystic uterine adenomyosis or cystic degeneration of uterine fibroids. This case report describes a 30-year-old patient with a huge uterine cornual mass. Successful resection was performed by surgical excision, and the lesion was diagnosed as an ACUM. Given the rarity of a giant ACUM, this report also includes a brief review of the relevant literature.

[Discussion on hepatic damage mechanism of Asari Radix et Rhizoma based on network pharmacology and untargeted metabolomics].

Asari Radix et Rhizoma is a common drug for relieving exterior syndrome in clinics, but its toxicity limits its use. In this study, the mechanism of hepatic damage of Asari Radix et Rhizoma was studied by network pharmacology and metabolomics. The hepatic damage-related dataset, namely GSE54257 was downloaded from the GEO database. The Limma package was used to analyze the differentially expressed genes in the dataset GSE54257. Toxic components and target genes of Asari Radix et Rhizoma were screened by TCMSP, ECTM, and TOXNET. The hepatic damage target genes of Asari Radix et Rhizoma were obtained by mapping with the differentially expressed gene of GSE54257, and a PPI network was constructed. GO and KEGG enrichment analysis of target genes were performed, and a "miRNA-target gene-signal pathway" network was drawn with upstream miRNA information. Thirty rats were divided into a blank group, a high-dose Asari Radix et Rhizoma group, and a low-dose Asari Radix et Rhizoma group, which were administered once a day. After continuous administration for 28 days, liver function indexes and liver pathological changes were detected. Five liver tissue samples were randomly collected from the blank group and high-dose Asari Radix et Rhizoma group, and small molecule metabolites were analyzed by ultra-high performance liquid chromatography-mass spectrometry(UHPLC-MS). The orthogonal partial least squares-discriminant analysis(OPLS-DA) method was used to screen differential metabolites, and enrichment analysis, correlation analysis, and cluster analysis were conducted for differential metabolites. Finally, the MetaboAnalyst platform was used to conduct pathway enrichment analysis for differential metabolites. It was found that there were 14 toxic components in Asari Radix et Rhizoma, corresponding to 37 target genes, and 12 genes related to liver toxicity of Asari Radix et Rhizoma were obtained by mapping to differentially expressed genes of GSE54257. The animal test results showed that Asari Radix et Rhizoma could significantly increase the liver function index, reduce the activity of the free radical scavenging enzyme, change the liver oxidative stress level, and induce lipid peroxidation damage in rats. The results of untargeted metabolomics analysis showed that compared with the blank group, nine metabolites were up-regulated, and 16 metabolites were down-regulated in the liver tissue of the Asari Radix et Rhizoma group. These 25 metabolites had strong correlations and good clustering. Pathway enrichment analysis showed that these differential metabolites and the 12 hepatotoxic target genes of Asari Radix et Rhizoma were mainly involved in purine metabolism, as well as the biosynthesis and metabolism of valine, leucine, glycine, serine, and threonine. The study confirmed that the hepatica damage effect of Asari Radix et Rhizoma was the result of multi-component, multi-target, and multi-signaling pathways, and its mechanism may be related to inhibiting nucleotide synthesis and affecting protein metabolism.

Development of pH-responsive intelligent films based on κ-carrageenan/straw lignin and anthocyanin from Padus virginiana peel for real-time monitoring of chicken.

A series of intelligent films with pH-responsive properties were prepared using Padus virginiana peel extract (PVE) as a smart response factor, κ-carrageenan (κC) as a matrix, and complexed with rice straw lignin (SL). Following the addition of 5 mL PVE at a concentration of 430.99 mg/L, tensile strength and elongation at break of the films increased to a maximum value of 21.25 ± 0.75 MPa and 24.04 ± 0.69 %, respectively. The water vapour permeability of the films decreased with increasing PVE addition, and the minimum value was 5.85 ± 0.09 × 10-11 g m-1 s-1 Pa-1. All the films had favourable thermal stability, transparency, haze and antioxidant properties. PVE-containing films all exhibited excellent pH and ammonia response properties. The higher the humidity of the environment, the faster the ammonia response, and the films were capable of rapid discoloration at 75 % relative humidity. κC/SL-PVE5 can be used to monitor the freshness of chicken breast meat. When the total volatile basic nitrogen of chicken breast meat was increased to 14.27 mg/100 g, κC/SL-PVE5 changed from pink to greyish-yellow. In conclusion, κC/SL-PVE intelligent films hold great promise for real-time monitoring of meat freshness.

The complete degradation of 1,2-dichloroethane in Escherichia coli by metabolic engineering.

1,2-Dichloroethane (1,2-DCA), a widely utilized chemical intermediate and organic solvent in industry, frequently enters the environment due to accidental leaks and mishandling during application processes. Thus, the in-situ remediation of contaminated sites has become increasingly urgent. However, traditional remediation methods are inefficient and costly, while bioremediation presents a green, efficient, and non-secondary polluting alternative. In this study, an engineered strain capable of completely degrading 1,2-DCA was constructed. We introduced six exogenous genes of the 1,2-DCA degradation pathway into E. coli and confirmed their normal transcription and efficient expression in this engineered strain through qRT-PCR and proteomics. The degradation experiments showed that the strain completely degraded 2 mM 1,2-DCA within 12 h. Furthermore, the results of isotope tracing verified that the final degradation product, malic acid, entered the tricarboxylic acid cycle (TCA) of E. coli and was ultimately fully metabolized. Also, morphological changes in the engineered strain and control strain exposed to 1,2-DCA were observed under SEM, and the results revealed that the engineered strain is more tolerant to 1,2-DCA than the control strain. In conclusion, this study paved a new way for humanity to deal with the increasingly complex environmental challenges.

Signal-to-Noise Ratio in Estimating and Testing the Mediation Effect: Structural Equation Modeling versus Path Analysis with Weighted Composites.

Mediation analysis plays an important role in understanding causal processes in social and behavioral sciences. While path analysis with composite scores was criticized to yield biased parameter estimates when variables contain measurement errors, recent literature has pointed out that the population values of parameters of latent-variable models are determined by the subjectively assigned scales of the latent variables. Thus, conclusions in existing studies comparing structural equation modeling (SEM) and path analysis with weighted composites (PAWC) on the accuracy and precision of the estimates of the indirect effect in mediation analysis have little validity. Instead of comparing the size on estimates of the indirect effect between SEM and PAWC, this article compares parameter estimates by signal-to-noise ratio (SNR), which does not depend on the metrics of the latent variables once the anchors of the latent variables are determined. Results show that PAWC yields greater SNR than SEM in estimating and testing the indirect effect even when measurement errors exist. In particular, path analysis via factor scores almost always yields greater SNRs than SEM. Mediation analysis with equally weighted composites (EWCs) also more likely yields greater SNRs than SEM. Consequently, PAWC is statistically more efficient and more powerful than SEM in conducting mediation analysis in empirical research. The article also further studies conditions that cause SEM to have smaller SNRs, and results indicate that the advantage of PAWC becomes more obvious when there is a strong relationship between the predictor and the mediator, whereas the size of the prediction error in the mediator adversely affects the performance of the PAWC methodology. Results of a real-data example also support the conclusions.

The impact of omitting confounders in parallel process latent growth curve mediation models: Three sensitivity analysis approaches.

Parallel process latent growth curve mediation models (PP-LGCMMs) are frequently used to longitudinally investigate the mediation effects of treatment on the level and change of outcome through the level and change of mediator. An important but often violated assumption in empirical PP-LGCMM analysis is the absence of omitted confounders of the relationships among treatment, mediator, and outcome. In this study, we analytically examined how omitting pretreatment confounders impacts the inference of mediation from the PP-LGCMM. Using the analytical results, we developed three sensitivity analysis approaches for the PP-LGCMM, including the frequentist, Bayesian, and Monte Carlo approaches. The three approaches help investigate different questions regarding the robustness of mediation results from the PP-LGCMM, and handle the uncertainty in the sensitivity parameters differently. Applications of the three sensitivity analyses are illustrated using a real-data example. A user-friendly Shiny web application is developed to conduct the sensitivity analyses.