Preliminary efficacy and safety of YSCH-01 in patients with advanced solid tumors: an investigator-initiated trial.

OBJECTIVE: To evaluate the safety and preliminary efficacy of YSCH-01 (Recombinant L-IFN adenovirus) in subjects with advanced solid tumors. METHODS: In this single-center, open-label, investigator-initiated trial of YSCH-01, 14 patients with advanced solid tumors were enrolled. The study consisted of two distinct phases: (1) the dose escalation phase and (2) the dose expansion phase; with three dose groups in the dose escalation phase based on dose levels (5.0×109 viral particles (VP)/subject, 5.0×1010 VP/subject, and 5.0×1011 VP/subject). Subjects were administered YSCH-01 injection via intratumoral injections. The safety was assessed using National Cancer Institute Common Terminology Criteria for Adverse Events V.5.0, and the efficacy evaluation was performed using Response Evaluation Criteria in Solid Tumor V.1.1. RESULTS: 14 subjects were enrolled in the study, including 9 subjects in the dose escalation phase and 5 subjects in the dose expansion phase. Of the 13 subjects included in the full analysis set, 4 (30.8%) were men and 9 (69.2%) were women. The most common tumor type was lung cancer (38.5%, 5 subjects), followed by breast cancer (23.1%, 3 subjects) and melanoma (23.1%, 3 subjects). During the dose escalation phase, no subject experienced dose-limiting toxicities. The content of recombinant L-IFN adenovirus genome and recombinant L-IFN protein in blood showed no trend of significant intergroup changes. No significant change was observed in interleukin-6 and interferon-gamma. For 11 subjects evaluated for efficacy, the overall response rate with its 95% CI was 27.3% (6.02% to 60.97%) and the disease control rate with its 95% CI was 81.8% (48.22% to 97.72%). The median progression-free survival was 4.97 months, and the median overall survival was 8.62 months. In addition, a tendency of decrease in the sum of the diameters of target lesions was observed. For 13 subjects evaluated for safety, the overall incidence of adverse events (AEs) was 92.3%, the overall incidence of adverse drug reactions (ADRs) was 84.6%, and the overall incidence of >Grade 3 AEs was 7.7%, while no AEs/ADRs leading to death occurred. The most common AEs were fever (69.2%), nausea (30.8%), vomiting (30.8%), and hypophagia (23.1%). CONCLUSIONS: The study shows that YSCH-01 injections were safe and well tolerated and exhibited preliminary efficacy in patients with advanced solid tumors, supporting further investigation to evaluate its efficacy and safety. TRIAL REGISTRATION NUMBER: NCT05180851.

A new framework for exploratory network mediator analysis in omics data.

Omics methods are widely used in basic biology and translational medicine research. More and more omics data are collected to explain the impact of certain risk factors on clinical outcomes. To explain the mechanism of the risk factors, a core question is how to find the genes/proteins/metabolites that mediate their effects on the clinical outcome. Mediation analysis is a modeling framework to study the relationship between risk factors and pathological outcomes, via mediator variables. However, high-dimensional omics data are far more challenging than traditional data: (1) From tens of thousands of genes, can we overcome the curse of dimensionality to reliably select a set of mediators? (2) How do we ensure that the selected mediators are functionally consistent? (3) Many biological mechanisms contain nonlinear effects. How do we include nonlinear effects in the high-dimensional mediation analysis? (4) How do we consider multiple risk factors at the same time? To meet these challenges, we propose a new exploratory mediation analysis framework, medNet, which focuses on finding mediators through predictive modeling. We propose new definitions for predictive exposure, predictive mediator, and predictive network mediator, using a statistical hypothesis testing framework to identify predictive exposures and mediators. Additionally, two heuristic search algorithms are proposed to identify network mediators, essentially subnetworks in the genome-scale biological network that mediate the effects of single or multiple exposures. We applied medNet on a breast cancer data set and a metabolomics data set combined with food intake questionnaire data. It identified functionally consistent network mediators for the exposures' impact on the outcome, facilitating data interpretation.

Seven oral traditional Chinese medicine combined with chemotherapy for the treatment of non-small cell lung cancer: a network meta-analysis.

CONTEXT: Traditional Chinese medicines (TCMs) have emerged as potential adjuvant therapies to treat non-small cell lung cancer. More direct comparative studies must be conducted among various oral TCMs. OBJECTIVE: This network meta-analysis evaluates the efficacy and safety of seven oral TCMs combined with chemotherapy in treating NSCLC. METHODS: The analysis included Zilongjin, Banmao, Hongdoushan, Huachansu, Kanglaite, Xihuang, and Pingxiao TCMs. Randomized-controlled trials (RCTs) were identified from the following databases: China National Infrastructure, Wanfang, PubMed, Embase, and the Cochrane Library up to April 2023. Two researchers independently extracted data. RESULTS: Sixty-eight RCTs (5,099 patients) were included. Compared to chemotherapy, Banmao capsules [odds ratio (OR) = 2.69, 95% confidence interval (CI) 1.96-3.69)] and Huachansu tablets [OR = 2.35, 95%CI (1.81, 3.05)] ranked in the top two in terms of increasing disease control rate. The two main TCMs to improve the objective response rate were Banmao capsules [OR = 3.49, 95%CI (2.17, 5.60)] and Zilongjin tablets [OR = 2.62, 95%CI (1.92, 3.57)]. Zilongjin tablets [OR = 3.47, 95%CI (2.14, 5.63)] and Huachansu tablets [OR = 3.30, 95%CI (1.65, 6.60)] were ranked as the top two in improving Karnofsky performance status. Hongdoushan capsules (SUCRA = 18.8%) and Banmao capsules (SUCRA = 19.8%) were the top two in reducing gastrointestinal toxicity. Zilongjin tablets (SUCRA = 18.9%) and Banmao capsules (SUCRA = 26.6%) were the top two to reduce liver and kidney toxicity. Hongdoushan capsules (SUCRA = 15.7%) and Huachansu tablets (SUCRA = 16.8%) ranked the top two in reducing thrombocytopenia. Banmao capsules (SUCRA = 14.3%) and Zilongjin tablets (SUCRA = 26.3%) were the top two decreasing leukopenia. CONCLUSIONS: Combining oral TCMs with platinum-based chemotherapy has shown superior efficacy compared to platinum-based chemotherapy alone in treating NSCLC.

Comparison between perceived and felt emotions in the soundscape evaluation of urban open spacesa).

In the current study on soundscape, the distinction between felt emotion and perceived emotion in soundscape measurement has not been addressed as much as that in music studies. This research was conducted to investigate perceived and felt emotions associated with soundscape evaluation in urban open spaces through a laboratory audio-visual experiment using photographs and binaural recordings of 16 urban open locations across Harbin, China. In total, 46 participants were required to assess both the "perceived emotion" and "felt emotion" of the soundscapes using a questionnaire (in Chinese). First, five felt emotions and seven perceived emotions associated with the soundscape were identified, among which the dominant factors were enjoyment and excitement for felt emotions and comfortable and festive for perceived emotions. Second, when comparing perceived and felt emotions, the holistic soundscape descriptor "preference" is more suitable for predicting through felt emotion, while the holistic soundscape descriptor "appropriateness" is more suitable for predicting through perceived emotion. Third, preference is a more stringent soundscape descriptor than appropriateness, indicating a higher level of requirement in its definition. Meanwhile, preference is a more emotional soundscape descriptor than appropriateness. It may be inferred that for evaluating soundscapes, the more emotional the descriptor, the greater its stringency.

Real-world evidence of combined treatment of biologics and exclusive enteral nutrition in patients with ileum-dominant Crohn's disease: A multicenter study.

BACKGROUND & AIMS: Although biologics were prescribed to achieve and maintain clinical remission of active Crohn's disease (CD), almost half of patients experienced a loss of response or intolerance. Here, we investigated the efficacy of combined treatment of biologics and 16-weeks exclusive enteral nutrition (EEN) in moderate-to-severe CD patients with small intestine lesions. METHODS: This was a real-world, multicenter retrospective study, from October 2016 to March 2023, medical records of patients registered at three IBD centers were reviewed for patients with ileal or ileocolonic CD in moderate-to-severe activity. All patients received treatment of biologics with concomitant 16-week EEN (BioEEN) or biologics alone (Bio). The clinical outcomes and endoscopic outcomes were assessed at week 16 and 52. RESULTS: There was no statistically significant difference between Bio (97 patients) and BioEEN group (100 patients) at baseline for demographic and clinical characteristics. Compared to treatment with biologics alone, patients with BioEEN treatment achieved higher rates of clinical response (95.0% vs. 66.0%), clinical remission (87.0% vs. 52.6%), endoscopic response (91.4% vs. 47.4%) including mucosal healing (85.7% vs. 23.7%) at week 16. The superiority of BioEEN sustained in maintenance, with 84.7% (vs. 49.1%) clinical response, 77.8% (vs. 38.6%) clinical remission, 69.2% (vs. 32.6%) endoscopic response and 51.9% (vs. 18.6%) mucosal healing at week 52. CONCLUSIONS: Combined treatment of biologics and 16-week EEN was an efficient therapeutic strategy with affirmative effectiveness for small intestine diseases of active CD.

Structure and Properties of Epoxy Resin/Graphene Oxide Composites Prepared from Silicon Dioxide-Modified Graphene Oxide.

In this study, graphene oxide (GO) was modified via electrostatic interactions and chemical grafting by silica (SiO2), and two SiO2@GO hybrids (GO-A and GO-B, respectively) with different structures were obtained and carefully characterized. Results confirmed the successful grafting of SiO2 onto the GO surface using both strategies. The distribution of SiO2 particles on the surface of GO-A was denser and more agglomerated, while it was more uniform on the surface of GO-B. Then, epoxy resin (EP)/GO composites were prepared. The curing mechanism of EP/GO composites was studied by differential scanning calorimetry and in situ infrared spectra spectroscopy. Results of tensile tests, hardness tests, dynamic mechanical analysis, and dielectric measurement revealed that EP/GO-B exhibited the highest tensile properties, with a tensile strength of 79 MPa, a 43% increase compared to raw EP. Furthermore, the addition of fillers improved the hardness of EP, and EP/GO-B showed the highest energy storage modulus of 1900 MPa. The inclusion of SiO2@GO hybrid fillers enhanced the dielectric constant, volume resistivity, and breakdown voltage of EP/GO composites. Among these, EP/GO-B displayed the lowest dielectric loss, relatively good insulation, and relatively high volume resistivity and breakdown voltage. A related mechanism was proposed.

High-dimensional multisubject time series transition matrix inference with application to brain connectivity analysis.

Brain-effective connectivity analysis quantifies directed influence of one neural element or region over another, and it is of great scientific interest to understand how effective connectivity pattern is affected by variations of subject conditions. Vector autoregression (VAR) is a useful tool for this type of problems. However, there is a paucity of solutions when there is measurement error, when there are multiple subjects, and when the focus is the inference of the transition matrix. In this article, we study the problem of transition matrix inference under the high-dimensional VAR model with measurement error and multiple subjects. We propose a simultaneous testing procedure, with three key components: a modified expectation-maximization (EM) algorithm, a test statistic based on the tensor regression of a bias-corrected estimator of the lagged auto-covariance given the covariates, and a properly thresholded simultaneous test. We establish the uniform consistency for the estimators of our modified EM, and show that the subsequent test achieves both a consistent false discovery control, and its power approaches one asymptotically. We demonstrate the efficacy of our method through both simulations and a brain connectivity study of task-evoked functional magnetic resonance imaging.

Identifying barriers to engage with soundscape standards: Insights from national standards bodies and expertsa).

This study explores the engagement of national standards bodies and practitioners with the ISO 12913 series on soundscape. It reveals critical challenges in stakeholder engagement, communication, competence, and practical application. A strategic roadmap, aligned with the normalization process theory, is proposed, comprising meaningful stakeholder engagement, building workability and integration, and community building and reflective monitoring. Results underscore the influence of national priorities, communication gaps, limited resources, and the need for practical guidance. Future efforts should focus on promoting cross-disciplinary collaboration and developing tools to quantify the societal and economic impact of soundscape interventions, addressing the multifaceted barriers identified.

Conservative versus liberal oxygen therapy for intensive care unit patients: meta-analysis of randomized controlled trials.

BACKGROUND: It remains unclear whether conservative oxygen therapy (COT) or liberal oxygen therapy (LOT) is more beneficial to the clinical outcomes of intensive care unit (ICU) patients. We systematically reviewed the efficacy and safety of conservative versus liberal oxygen therapy for ICU patients. METHODS: We systematically searched PubMed, Embase, Web of Science, Scopus, Cochrane Central Register of Controlled Trials, ClinicalTrials.gov, MedRxiv, and BioRxiv for reports on randomized controlled trials (RCTs) that compared the effects of COT versus LOT on the clinical outcomes of ICU patients published in English before April 2024. The primary outcome was the mortality rate, secondary outcomes included ICU and hospital length of stay, days free from mechanical ventilation support (MVF), vasopressor-free time (VFT), and adverse events. RESULTS: In all, 13 RCTs involving 10,632 patients were included in analyses. Meta-analysis showed COT did not reduce mortality at 30-day (risk ratio [RR] = 1.01, 95% confidence interval [CI] 0.94 to 1.09, I2 = 42%, P = 0.78), 90-day (RR = 1.01, 95% CI 0.95 to 1.08, I2 = 9%, P = 0.69), or longest follow-up (RR = 1.00, 95% CI 0.95 to 1.06, I2 = 22%, P = 0.95) compared to LOT in ICU patients. In subgroup analyses, no significant difference was observed between the two groups in terms of the different ICU, baseline P/F, and actual PaO2. In addition, COT did not affect ICU length of stay, hospital length of stay, or VFT, it only affected MVF days. CONCLUSIONS: COT did not reduce all-cause mortality in ICU patients. Further RCTs are urgently needed to confirm the impact of COT strategy on specific populations.

Dopamine promotes Klebsiella quasivariicola proliferation and inflammatory response in the presence of macrophages.

Background: Dopamine, a frequently used therapeutic agent for critically ill patients, has been shown to be implicated in clinical infections recently, however, the precise mechanisms underlying this association remain elusive. Klebsiella quasivariicola, a novel strain belonging to the Klebsiella species, exhibits potential pathogenic attributes. The impact of dopamine on K. quasivariicola infection has aroused our interest. Objective: Considering the contribution of host immune factors during infection, this study aimed to investigate the intricate interactions between K. quasivariicola, dopamine, and macrophages were explored. Methods: RAW264.7 cells and C57/BL6 mice were infected with K. quasivariicola, and the bacterial growth within macrophage, the production of inflammatory cytokines and the pathological changes in mice lungs were detected, in the absence or presence of dopamine. Results: Dopamine inhibited the growth of K. quasivariicola in the medium, but promoted bacterial growth when co-cultured with macrophages. The expression of proinflammatory cytokines increased in RAW 264.7 cells infected with K. quasivariicola, and a significant rise was observed upon the addition of dopamine. The infection of K. quasivariicola in mice induced an inflammatory response and lung injury, which were exacerbated by the administration of dopamine. Conclusions: Our findings suggest that dopamine may be one of the potential risk factors associated with K. quasivariicola infection. This empirical insight provides solid references for clinical precision medicine. Furthermore, an in vitro model of microbes-drugs-host immune cells for inhibitor screening was proposed to more accurately replicate the complex in vivo environment. This fundamental work had contributed to the present understanding of the crosstalk between pathogen, dopamine and host immune cells.

Targeting the ribosome to treat multiple myeloma.

The high rates of protein synthesis and processing render multiple myeloma (MM) cells vulnerable to perturbations in protein homeostasis. The induction of proteotoxic stress by targeting protein degradation with proteasome inhibitors (PIs) has revolutionized the treatment of MM. However, resistance to PIs is inevitable and represents an ongoing clinical challenge. Our first-in-human study of the selective inhibitor of RNA polymerase I transcription of ribosomal RNA genes, CX-5461, has demonstrated a potential signal for anti-tumor activity in three of six heavily pre-treated MM patients. Here, we show that CX-5461 has potent anti-myeloma activity in PI-resistant MM preclinical models in vitro and in vivo. In addition to inhibiting ribosome biogenesis, CX-5461 causes topoisomerase II trapping and replication-dependent DNA damage, leading to G2/M cell-cycle arrest and apoptotic cell death. Combining CX-5461 with PI does not further enhance the anti-myeloma activity of CX-5461 in vivo. In contrast, CX-5461 shows synergistic interaction with the histone deacetylase inhibitor panobinostat in both the Vk∗MYC and the 5T33-KaLwRij mouse models of MM by targeting ribosome biogenesis and protein synthesis through distinct mechanisms. Our findings thus provide strong evidence to facilitate the clinical development of targeting the ribosome to treat relapsed and refractory MM.

Bayesian functional analysis for untargeted metabolomics data with matching uncertainty and small sample sizes.

Untargeted metabolomics based on liquid chromatography-mass spectrometry technology is quickly gaining widespread application, given its ability to depict the global metabolic pattern in biological samples. However, the data are noisy and plagued by the lack of clear identity of data features measured from samples. Multiple potential matchings exist between data features and known metabolites, while the truth can only be one-to-one matches. Some existing methods attempt to reduce the matching uncertainty, but are far from being able to remove the uncertainty for most features. The existence of the uncertainty causes major difficulty in downstream functional analysis. To address these issues, we develop a novel approach for Bayesian Analysis of Untargeted Metabolomics data (BAUM) to integrate previously separate tasks into a single framework, including matching uncertainty inference, metabolite selection and functional analysis. By incorporating the knowledge graph between variables and using relatively simple assumptions, BAUM can analyze datasets with small sample sizes. By allowing different confidence levels of feature-metabolite matching, the method is applicable to datasets in which feature identities are partially known. Simulation studies demonstrate that, compared with other existing methods, BAUM achieves better accuracy in selecting important metabolites that tend to be functionally consistent and assigning confidence scores to feature-metabolite matches. We analyze a COVID-19 metabolomics dataset and a mouse brain metabolomics dataset using BAUM. Even with a very small sample size of 16 mice per group, BAUM is robust and stable. It finds pathways that conform to existing knowledge, as well as novel pathways that are biologically plausible.

Impact of Using Pre- and Post-Bronchodilator Spirometry Reference Values in a Chinese Population.

RATIONALE: Spirometry reference equations that are derived from a large, nationally representative, general population are warranted in China and the impact of using pre- and post-BD spirometry reference values has yet to be assessed in Chinese populations. OBJECTIVES: To present both the pre-BD and post-BD spirometry reference values for Chinese adults using the China Pulmonary Health (CPH) study. METHODS: A reference population of 17969 healthy, non-smoking participants in the CPH study was used to calculate the pre- and post-BD reference values for the forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC) and FEV1/FVC. Both pre- and post-BD reference values were applied to the entire CPH population (50991 individuals) to illustrate the divergence between the use of references in determining the disease prevalence and severity grading. MEASUREMENTS AND MAIN RESULTS: The prevalence of airflow limitation was 5.36% using pre-BD reference and 8.02% using the post-BD reference. Individuals who had post-BD FEV1/FVC below post-BD but higher than pre-BD reference values were found to have significantly higher rates of self-reported respiratory symptoms, and significantly lower values in spirometry indicators than those above post-BD reference values. An additional 3.51% of participants were identified as grade II-IV COPD using the post-BD FEV1 predicted values. CONCLUSION: This study generated and applied pre- and post-bronchodilator spirometry reference values in a nationally representative Chinese adult population. Post-BD reference values may serve as an additional criterion in identifying individuals at risk for obstructive pulmonary diseases, its diagnostic and prognostic values should be further investigated.

Bilateral Endoscopic Debridement Combined with Local Antituberculosis Drugs for Thoracic Tuberculosis with Large Paravertebral Abscess: A Multicenter Study with 4-year Follow-Up.

BACKGROUND: Paravertebral abscess represents a prevalent manifestation of thoracic tuberculosis, often necessitating surgical intervention. In this study, we introduced a novel approach by employing bilateral endoscopic debridement (BED) to address large Paravertebral abscesses associated with thoracic tuberculosis, a method not previously proposed in the literature. The clinical efficacy was examined through a comprehensive 4-year follow-up. METHODS: We conducted a retrospective analysis on patients diagnosed with thoracic tuberculosis and paravertebral abscess who underwent BED combined with local antituberculosis drugs (BED + LAD) between February 2015 and February 2019. A total of 29 eligible patients (12 males and 17 females) with a median (interquartile ranges) of 59.0(16.5) years were included in the study. All patients received the BED + LAD treatment. After the surgery, the patients were treated with a 4-drug antituberculosis therapy (Rifampicin, Isoniazid, Pyrazinamide, and Ethambutol). All relevant indicators were meticulously recorded and analyzed. RESULTS: The surgical procedures were successfully completed for all subjects, with an average intraoperative bleeding volume of (25.2 ± 8.9) ml, an average surgical time of (68.4 ± 14.0) minutes, an average fluoroscopy frequency of (21.7 ± 8.2) times, an average hospital stay of (14.2 ± 4.3) days, and an average medication period of (42.1 ± 9.6) weeks. All subjects completed at least a 4-year follow-up period. At the final follow-up, ESR and CRP levels returned to normal, and there was no significant increase in the Cobb angle (P>0.05). CONCLUSIONS: The application of BED + LAD in the treatment of thoracic tuberculosis and paravertebral abscess proved to be a safe, effective, and feasible approach.

Identification of key genes for atherosclerosis in different arterial beds.

Atherosclerosis (AS) is the pathologic basis of various cardiovascular and cerebrovascular events, with a high degree of heterogeneity among different arterial beds. However, mechanistic differences between arterial beds remain unexplored. The aim of this study was to explore key genes and potential mechanistic differences between AS in different arterial beds through bioinformatics analysis. Carotid atherosclerosis (CAS), femoral atherosclerosis (FAS), infrapopliteal atherosclerosis (IPAS), abdominal aortic atherosclerosis (AAS), and AS-specific differentially expressed genes (DEGs) were screened from the GSE100927 and GSE57691 datasets. Immune infiltration analysis was used to identify AS immune cell infiltration differences. Unsupervised cluster analysis of AS samples from different regions based on macrophage polarization gene expression profiles. Weighted gene co-expression network analysis (WGCNA) was performed to identify the most relevant module genes with AS. Hub genes were then screened by LASSO regression, SVM-REF, and single-gene differential analysis, and a nomogram was constructed to predict the risk of AS development. The results showed that differential expression analysis identified 5, 4, 121, and 62 CAS, FAS, IPAS, AAS-specific DEGs, and 42 AS-common DEGs, respectively. Immune infiltration analysis demonstrated that the degree of macrophage and mast cell enrichment differed significantly in different regions of AS. The CAS, FAS, IPAS, and AAS could be distinguished into two different biologically functional and stable molecular clusters based on macrophage polarization gene expression profiles, especially for cardiomyopathy and glycolipid metabolic processes. Hub genes for 6 AS (ADAP2, CSF3R, FABP5, ITGAX, MYOC, and SPP1), 4 IPAS (CLECL1, DIO2, F2RL2, and GUCY1A2), and 3 AAS (RPL21, RPL26, and RPL10A) were obtained based on module gene, gender stratification, machine learning algorithms, and single-gene difference analysis, respectively, and these genes were effective in differentiating between different regions of AS. This study demonstrates that there are similarities and heterogeneities in the pathogenesis of AS between different arterial beds.

Bayesian Spatial Blind Source Separation via the Thresholded Gaussian Process.

Blind source separation (BSS) aims to separate latent source signals from their mixtures. For spatially dependent signals in high dimensional and large-scale data, such as neuroimaging, most existing BSS methods do not take into account the spatial dependence and the sparsity of the latent source signals. To address these major limitations, we propose a Bayesian spatial blind source separation (BSP-BSS) approach for neuroimaging data analysis. We assume the expectation of the observed images as a linear mixture of multiple sparse and piece-wise smooth latent source signals, for which we construct a new class of Bayesian nonparametric prior models by thresholding Gaussian processes. We assign the vMF priors to mixing coefficients in the model. Under some regularity conditions, we show that the proposed method has several desirable theoretical properties including the large support for the priors, the consistency of joint posterior distribution of the latent source intensity functions and the mixing coefficients, and the selection consistency on the number of latent sources. We use extensive simulation studies and an analysis of the resting-state fMRI data in the Autism Brain Imaging Data Exchange (ABIDE) study to demonstrate that BSP-BSS outperforms the existing method for separating latent brain networks and detecting activated brain activation in the latent sources.

Inconsistency between physicians' attitudes and behaviors toward TCM: A questionnaire survey in Chengdu.

Although Western Medicine is considered as the mainstream medicine in China, Traditional Chinese Medicine (TCM) still has its own advantages and characteristics. The attitudes and behaviors to TCM are divided, some West Medicine Doctors prefer TCM during treatment, while others consider it not effective. The objective of this study is to find out the attitudes and treatment behaviors of Chengdu physicians toward TCM, and identify factors associated with their attitude and behaviors. A representative sample of 2049 Chengdu physicians were recruited online to investigate their attitudes and behaviors toward TCM. During this research, previous Integrative Medicine Attitude Questionnaire were referred and modified, and adjusted questionnaire was made based on the actual situation of TCM in Chengdu. This questionnaire contains 3 distinct parts. The first part aimed at the attitudes of respondents toward TCM, and contains 15 questions in 3 sections, Holism, Knowledge, and Evidence. The second part tried to determine the behaviors toward TCM in terms of self-use, recommendations, as well as prescriptions. In addition, 6 modalities including Chinese Patent Medicine, Chinese Herbal Medicine, Acupuncture, Massage & Bone Setting, Qigong, and TCM diet were introduced in the behavioral part. In the third part, we aimed to collect personal, professional, and structural factors that may significantly influence TCM attitudes and behaviors. Physicians hold positive attitudes toward TCM in general, all the mean/highest possible subscales scores value of Holism (90.53%), Knowledge (63.77%), and Evidence (62.73%) domain were over 60%. On the other hand, physicians were more positive on self-use (49.40%) and recommendation (55.98%) of TCM than giving TCM prescriptions (36.60%) to patients. The attitudes and behaviors toward may not be consistent, which means physicians may not give prescriptions to patients even they have good attitudes to TCM. Education and self-use of TCM are important positive factors that influence the behaviors of physicians.

Deep metagenomic characterization of the gut virome in pregnant women with preeclampsia.

Preeclampsia (PE), a pregnancy-specific syndrome, has been associated with the gut bacteriome. Here, to investigate the impact of the gut virome on the development of PE, we identified over 8,000 nonredundant viruses from the fecal metagenomes of 40 early-onset PE and 37 healthy pregnant women and profiled their abundances. Comparison and correlation analysis showed that PE-enriched viruses frequently connected to Blautia species enriched in PE. By contrast, bacteria linked to PE-depleted viruses were often the Bacteroidaceae members such as Bacteroides spp., Phocaeicola spp., Parabacteroides spp., and Alistipes shahii. In terms of viral function, PE-depleted viruses had auxiliary metabolic genes that participated in the metabolism of simple and complex polysaccharides, sulfur metabolism, lipopolysaccharide biosynthesis, and peptidoglycan biosynthesis, while PE-enriched viruses had a gene encoding cyclic pyranopterin monophosphate synthase, which seemed to be special, that participates in the biosynthesis of the molybdenum cofactor. Furthermore, the classification model based on gut viral signatures was developed to discriminate PE patients from healthy controls and showed an area under the receiver operating characteristic curve of 0.922 that was better than that of the bacterium-based model. This study opens up new avenues for further research, providing valuable insights into the PE gut virome and offering potential directions for future mechanistic and therapeutic investigations, with the ultimate goal of improving the diagnosis and management of PE.IMPORTANCEThe importance of this study lies in its exploration of the previously overlooked but potentially critical role of the gut virome in preeclampsia (PE). While the association between PE and the gut bacteriome has been recognized, this research takes a pioneering step into understanding how the gut virome, represented by over 8,000 nonredundant viruses, contributes to this condition. The findings reveal intriguing connections between PE-enriched viruses and specific gut bacteria, such as the prevalence of Blautia species in individuals with PE, contrasting with bacteria linked to PE-depleted viruses, including members of the Bacteroidaceae family. These viral interactions and associations provide a deeper understanding of the complex dynamics at play in PE.

ß-asarone inhibits autophagy by activating the PI3K/Akt/mTOR pathway in a rat model of depression in Parkinson's disease.

OBJECTIVE: It is unclear whether ß-asarone has a good antidepressant effect and what is the main mechanism in Depression in Parkinson's disease (DPD) model rats. METHODS: In this study, DPD model rats were screened from 6-OHDA induced rats by sucrose preference test (SPT) and forced swimming test (FST). DPD model rats were divided into eight groups: model group, pramipexole group, ß-asarone low-dose group (ß-asarone 7.5 group), ß-asarone medium-dose group (ß-asarone 15 group), ß-asarone high-dose group (ß-asarone 30 group), 3-MA group, rapamycin group, and PI3K inhibitor group. 28 days after the end of treatment, open field test (OFT), SPT and FST were conducted in rats. The level of α-synuclein (α-syn) in the striatum was determined by enzyme-linked immunosorbent assay (ELISA). The expression of Beclin-1, p62 in the striatum was determined by western blot. The expression of PI3K, p-PI3K, Akt, p-Akt, mTOR, p-mTOR, Beclin-1, and p62 in the hippocampus was determined by western blot. The spine density of neurons in the hippocampus was detected by golgi staining. RESULTS: The results showed that 4-week oral administration of ß-asarone improve the motor and depressive symptoms of DPD model rats, and decrease the content of α-syn in the striatum. ß-asarone inhibited the expression of autophagy in the striatum of DPD model rats. Furthermore, ß-asarone decreased the levels of Beclin-1 protein, increased the expression of p62, p-PI3K, p-AKT, and p-mTOR, and improved the density of neuron dendritic spine in the hippocampus. CONCLUSIONS: We concluded that ß-asarone might improve the behavior of DPD model rats by activating the PI3K/Akt/mTOR pathway, inhibiting autophagy and protecting neuron.

Role of the GLP2-Wnt1 axis in silicon-rich alkaline mineral water maintaining intestinal epithelium regeneration in piglets under early-life stress.

Stress-induced intestinal epithelial injury (IEI) and a delay in repair in infancy are predisposing factors for refractory gut diseases in adulthood, such as irritable bowel syndrome (IBS). Hence, it is necessary to develop appropriate mitigation methods for mammals when experiencing early-life stress (ELS). Weaning, as we all know, is a vital procedure that all mammalian newborns, including humans, must go through. Maternal separation (MS) stress in infancy (regarded as weaning stress in animal science) is a commonly used ELS paradigm. Drinking silicon-rich alkaline mineral water (AMW) has a therapeutic effect on enteric disease, but the specific mechanisms involved have not been reported. Herein, we discover the molecular mechanism by which silicon-rich AMW repairs ELS-induced IEI by maintaining intestinal stem cell (ISC) proliferation and differentiation through the glucagon-like peptide (GLP)2-Wnt1 axis. Mechanistic study showed that silicon-rich AMW activates GLP2-dependent Wnt1/ß-catenin pathway, and drives ISC proliferation and differentiation by stimulating Lgr5+ ISC cell cycle passage through the G1-S-phase checkpoint, thereby maintaining intestinal epithelial regeneration and IEI repair. Using GLP2 antagonists (GLP23-33) and small interfering RNA (SiWnt1) in vitro, we found that the GLP2-Wnt1 axis is the target of silicon-rich AMW to promote intestinal epithelium regeneration. Therefore, silicon-rich AMW maintains intestinal epithelium regeneration through the GLP2-Wnt1 axis in piglets under ELS. Our research contributes to understanding the mechanism of silicon-rich AMW promoting gut epithelial regeneration and provides a new strategy for the alleviation of ELS-induced IEI.