Unraveling the role of the circadian clock genes in cervical squamous cell carcinoma and endocervical adenocarcinoma: A prognostic indicator for prognostic, immunotherapy response, and chemotherapy sensitivity.

Background: Cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) account for a significant proportion of gynecological malignancies and represent a major global health concern. Globally, CESC is ranked as the fourth most common cancer among women. Conventional treatment of this disease has a less favorable prognosis for most patients. However, the discovery of early molecular biomarkers is therefore important for the diagnosis of CESC, as well as for slowing down their progression process. Methods: To identify differentially expressed genes strongly associated with prognosis, univariate Cox proportional hazard analysis and least absolute shrinkage and selection operator (LASSO) regression analysis were used. Using multiple Cox proportional hazard regression, a multifactorial model for prognostic risk assessment was then created. Results: The expression of biological clock-related genes, which varied considerably among distinct subtypes and were associated with significantly diverse prognoses, was used to categorize CESC patients. These findings demonstrate how the nomogram developed based on the 7-CRGs signature may assist physicians in creating more precise, accurate, and successful treatment plans that can aid CESC patients at 1, 3, and 5 years. Conclusions: By using machine learning techniques, we thoroughly investigated the impact of CRGs on the prognosis of CESC patients in this study. By creating a unique nomogram, we were able to accurately predict patient prognosis. At the same time, we showed new perspectives on the development of CESC and its treatment by analyzing the associations of the prognostic model with immunity, enrichment pathways, chemotherapy sensitivity, and so on. This research provides a new direction for clinical treatment.

Unleashing the potential: integrating nano-delivery systems with traditional Chinese medicine.

This review explores the potential of integrating nano-delivery systems with traditional Chinese herbal medicine, acupuncture, and Chinese medical theory. It highlights the intersections and potential of nano-delivery systems in enhancing the effectiveness of traditional herbal medicine and acupuncture treatments. In addition, it discusses how the integration of nano-delivery systems with Chinese medical theory can modernize herbal medicine and make it more readily accessible on a global scale. Finally, it analyzes the challenges and future directions in this field.

An herbal formulation "Shugan Xiaozhi decoction" ameliorates methionine/choline deficiency-induced nonalcoholic steatohepatitis through regulating inflammation and apoptosis-related pathways.

ETHNOPHARMACOLOGICAL RELEVANCE: Shugan Xiaozhi (SGXZ) decoction is a traditional Chinese medicine used for treating nonalcoholic steatohepatitis (NASH). It has been used clinically for over 20 years and proved to be effective; however, the molecular mechanism underlying the effects of SGXZ decoction remains unclear. AIM OF THE STUDY: We analyzed the chemical components, core targets, and molecular mechanisms of SGXZ decoction to improve NASH through network pharmacology and in vivo experiments. MATERIALS AND METHODS: The chemical components, core targets, and related signaling pathways of SGXZ decoction intervention in NASH were predicted using network pharmacology. Molecular docking was performed to verify chemical components and their core targets. The results were validated in the NASH model treated with SGXZ decoction. Mouse liver function was assessed by measuring ALT and AST levels. TC and TG levels were determined to evaluate lipid metabolism, and lipid deposition was assessed via oil red O staining. Mouse liver damage was determined via microscopy following hematoxylin and eosin staining. Liver fibrosis was assessed via Masson staining. Western blot (WB) and immunohistochemical (IHC) analyses were performed to detect inflammation and the expression of apoptosis-related proteins, including IL-1ß, IL-6, IL-18, TNF-α, MCP1, p53, FAS, Caspase-8, Caspase-3, Caspase-9, Bax, Bid, Cytochrome c, Bcl-2, and Bcl-XL. In addition, WB and IHC were used to assess protein expression associated with the TLR4/MyD88/NF-κB pathway. RESULTS: Quercetin, luteolin, kaempferol, naringenin, and nobiletin in SGXZ decoction were effective chemical components in improving NASH, and TNF-α, IL-6, and IL-1ß were the major core targets. Molecular docking indicated that these chemical components and major core targets might interact. KEGG pathway analysis showed that the pathways affected by SGXZ decoction, primarily including apoptosis and TLR4/NF-κB signaling pathways, interfere with NASH. In vivo experiments indicated that SGXZ decoction considerably ameliorated liver damage, fibrosis, and lipid metabolism disorder in MCD-induced NASH mouse models. In addition, WB and IHC verified the underlying molecular mechanisms of SGXZ decoction as predicted via network pharmacology. SGXZ decoction inhibited the activation of apoptosis-related pathways in MCD-induced NASH mice. Moreover, SGXZ decoction suppressed the activation of TLR4/MyD88/NF-κB pathway in MCD-induced NASH mice. CONCLUSION: SGXZ decoction can treat NASH through multiple targets and pathways. These findings provide new insights into the effective treatment of NASH using SGXZ decoction.

Tanshinone IIA induces ER stress and JNK activation to inhibit tumor growth and enhance anti-PD-1 immunotherapy in non-small cell lung cancer.

BACKGROUND: Non-small cell lung cancer (NSCLC) remains at the forefront of new cancer cases, and there is an urgent need to find new treatments or improve the efficacy of existing therapies. In addition to the application in the field of cerebrovascular diseases, recent studies have revealed that tanshinone IIA (Tan IIA) has anticancer activity in a variety of cancers. PURPOSE: To investigate the potential anticancer mechanism of Tan IIA and its impact on immunotherapy in NSCLC. METHODS: Cytotoxicity and colony formation assays were used to detect the Tan IIA inhibitory effect on NSCLC cells. This research clarified the mechanisms of Tan IIA in anti-tumor and programmed death-ligand 1 (PD-L1) regulation by using flow cytometry, transient transfection, western blotting and immunohistochemistry (IHC) methods. Besides, IHC was also used to analyze the nuclear factor of activated T cells 1 (NFAT2) expression in NSCLC clinical samples. Two animal models including xenograft mouse model and Lewis lung cancer model were used for evaluating tumor suppressive efficacy of Tan IIA. We also tested the efficacy of Tan IIA combined with programmed cell death protein 1 (PD-1) inhibitors in Lewis lung cancer model. RESULTS: Tan IIA exhibited good NSCLC inhibitory effect which was accompanied by endoplasmic reticulum (ER) stress response and increasing Ca2+ levels. Moreover, Tan IIA could suppress the NFAT2/ Myc proto oncogene protein (c-Myc) signaling, and it also was able to control the Jun Proto-Oncogene(c-Jun)/PD-L1 axis in NSCLC cells through the c-Jun N-terminal kinase (JNK) pathway. High NFAT2 levels were potential factors for poor prognosis in NSCLC patients. Finally, animal experiments data showed a stronger immune activation phenotype, when we performed treatment of Tan IIA combined with PD-1 monoclonal antibody. CONCLUSION: The findings of our research suggested a novel mechanism for Tan IIA to inhibit NSCLC, which could exert anti-cancer effects through the JNK/NFAT2/c-Myc pathway. Furthermore, Tan IIA could regulate tumor PD-L1 levels and has the potential to improve the efficacy of PD-1 inhibitors.

Deciphering a Prognostic Signature Based on Soluble Mediators Defines the Immune Landscape and Predicts Prognosis in HNSCC.

BACKGROUND: The study on Head and Neck Squamous Cell Carcinoma (HNSCC), a prevalent and aggressive form of head and neck cancer, focuses on the often-overlooked role of soluble mediators. The objective is to leverage a transcriptome-based risk analysis utilizing soluble mediator-related genes (SMRGs) to provide novel insights into prognosis and immunotherapy efficacy in HNSCC patients. METHODS: We analyzed the expression and prognostic significance of 10,859 SMRGs using 502 HNSCC and 44 normal samples from the TCGA-HNSC cohort in The Cancer Genome Atlas (TCGA). The samples were divided into training and test sets in a 7:3 ratio, with an additional external validation using 40 tumor samples from the International Cancer Genome Consortium (ICGC). Key differentially expressed genes (DEGs) with prognostic significance were identified through univariate and Lasso-Cox regression analyses. A prognostic model based on 20 SMRGs was developed using Lasso and multivariate Cox regression. We assessed the clinical outcomes and immune status in high-risk (HR) and low-risk (LR) HNSCC patients utilizing the BEST databases and single-sample Gene Set Enrichment Analysis (ssGSEA). RESULTS: The 20 SMRGs were crucial in predicting the prognosis of HNSCC, with the SMRG signature emerging as an independent prognostic indicator. Patients classified in the HR group exhibited poorer outcomes compared to those in the LR group. A nomogram, integrating clinical characteristics and risk scores, demonstrated substantial prognostic value. Immunotherapy appeared to be more effective in the LR group, possibly attributed to enhanced immune infiltration and expression of immune checkpoints. CONCLUSIONS: The model based on soluble mediator-associated genes offers a fresh perspective for assessing the pre-immune efficacy and showcases robust predictive capabilities. This innovative approach holds significant promise in advancing the field of precision immuno-oncology research, providing valuable insights for personalized treatment strategies in HNSCC.

Discovery of Novel Noncovalent KRAS G12D Inhibitors through Structure-Based Virtual Screening and Molecular Dynamics Simulations.

The development of effective inhibitors targeting the Kirsten rat sarcoma viral proto-oncogene (KRASG12D) mutation, a prevalent oncogenic driver in cancer, represents a significant unmet need in precision medicine. In this study, an integrated computational approach combining structure-based virtual screening and molecular dynamics simulation was employed to identify novel noncovalent inhibitors targeting the KRASG12D variant. Through virtual screening of over 1.7 million diverse compounds, potential lead compounds with high binding affinity and specificity were identified using molecular docking and scoring techniques. Subsequently, 200 ns molecular dynamics simulations provided critical insights into the dynamic behavior, stability, and conformational changes of the inhibitor-KRASG12D complexes, facilitating the selection of lead compounds with robust binding profiles. Additionally, in silico absorption, distribution, metabolism, excretion (ADME) profiling, and toxicity predictions were applied to prioritize the lead compounds for further experimental validation. The discovered noncovalent KRASG12D inhibitors exhibit promises as potential candidates for targeted therapy against KRASG12D-driven cancers. This comprehensive computational framework not only expedites the discovery of novel KRASG12D inhibitors but also provides valuable insights for the development of precision treatments tailored to this oncogenic mutation.

Illuminating the immunological landscape: mitochondrial gene defects in pancreatic cancer through a multiomics lens.

This comprehensive review delves into the complex interplay between mitochondrial gene defects and pancreatic cancer pathogenesis through a multiomics approach. By amalgamating data from genomic, transcriptomic, proteomic, and metabolomic studies, we dissected the mechanisms by which mitochondrial genetic variations dictate cancer progression. Emphasis has been placed on the roles of these genes in altering cellular metabolic processes, signal transduction pathways, and immune system interactions. We further explored how these findings could refine therapeutic interventions, with a particular focus on precision medicine applications. This analysis not only fills pivotal knowledge gaps about mitochondrial anomalies in pancreatic cancer but also paves the way for future investigations into personalized therapy options. This finding underscores the crucial nexus between mitochondrial genetics and oncological immunology, opening new avenues for targeted cancer treatment strategies.

The irreversible FGFR inhibitor KIN-3248 overcomes FGFR2 kinase domain mutations.

PURPOSE: FGFR2 and FGFR3 show oncogenic activation in many cancer types, often through chromosomal fusion or extracellular domain mutation. FGFR2 and FGFR3 alterations are most prevalent in intrahepatic cholangiocarcinoma (ICC) and bladder cancers, respectively, and multiple selective reversible and covalent pan-FGFR tyrosine kinase inhibitors (TKIs) have been approved in these contexts. However, resistance, often due to acquired secondary mutations in the FGFR2/3 kinase domain, limits efficacy. Resistance is typically polyclonal, involving a spectrum of different mutations that most frequently affect the molecular brake and gatekeeper residues (N550 and V565 in FGFR2). EXPERIMENTAL DESIGN: Here we characterize the activity of the next-generation covalent FGFR inhibitor, KIN-3248, in preclinical models of FGFR2 fusion+ ICC harboring a series of secondary kinase domain mutations, in vitro and in vivo. We also test select FGFR3 alleles in bladder cancer models. RESULTS: KIN-3248 exhibits potent selectivity for FGFR1-3 and retains activity against various FGFR2 kinase domain mutations, in addition to being effective against FGFR3 V555M and N540K mutations. Notably, KIN-3248 activity extends to the FGFR2 V565F gatekeeper mutation, which causes profound resistance to currently approved FGFR inhibitors. Combination treatment with EGFR or MEK inhibitors potentiates KIN-3248 efficacy in vivo, including in models harboring FGFR2 kinase domain mutations. CONCLUSIONS: Thus, KIN-3248 is a novel FGFR1-4 inhibitor whose distinct activity profile against FGFR kinase domain mutations highlights its potential for the treatment of ICC and other FGFR-driven cancers.

Reprogramming of Lipid Metabolism Mediates Crosstalk, Remodeling, and Intervention of Microenvironment Components in Breast Cancer.

Due to the unique characteristics of breast cancer initiation sites and significant alterations in tumor metabolism, breast cancer cells rely on lipid metabolic reprogramming to effectively regulate metabolic programs during the disease progression cascade. This adaptation enables them to meet the energy demands required for proliferation, invasion, metastasis, and responses to signaling molecules in the breast cancer microenvironment. In this review, we comprehensively examined the distinctive features of lipid metabolic reprogramming in breast cancer and elucidated the underlying mechanisms driving aberrant behavior of tumor cells. Additionally, we emphasize the potential role and adaptive changes in lipid metabolism within the breast cancer microenvironment, while summarizing recent preclinical studies. Overall, precise control over lipid metabolism rewiring and understanding of plasticity within the breast cancer microenvironment hold promising implications for developing targeted treatment strategies against this disease. Therefore, interventions targeting the lipid metabolism in breast cancer may facilitate innovative advancements in clinical applications.

The Extraction, Determination, and Bioactivity of Curcumenol: A Comprehensive Review.

Curcuma wenyujin is a member of the Curcuma zedoaria (zedoary, Zingiberaceae) family, which has a long history in traditional Chinese medicine (TCM) due to its abundant biologically active constituents. Curcumenol, a component of Curcuma wenyujin, has several biological activities. At present, despite different pharmacological activities being reported, the clinical usage of curcumenol remains under investigation. To further determine the characteristics of curcumenol, the extraction, determination, and bioactivity of the compound are summarized in this review. Existing research has reported that curcumenol exerts different pharmacological effects in regard to a variety of diseases, including anti-inflammatory, anti-oxidant, anti-bactericidal, anti-diabetic, and anti-cancer activity, and also ameliorates osteoporosis. This review of curcumenol provides a theoretical basis for further research and clinical applications.

Prognostic factors for invasive mucinous adenocarcinoma of the lung: systematic review and meta-analysis.

BACKGROUND: Invasive mucinous adenocarcinoma of the lung (IMA) is a unique and rare subtype of lung adenocarcinoma with poorly defined prognostic factors and highly controversial studies. Hence, this study aimed to comprehensively identify and summarize the prognostic factors associated with IMA. METHODS: A comprehensive search of relevant literature was conducted in the PubMed, Embase, Cochrane, and Web of Science databases from their inception until June 2023. The pooled hazard ratio (HR) and corresponding 95% confidence intervals (CI) of overall survival (OS) and/or disease-free survival (DFS) were obtained to evaluate potential prognostic factors. RESULTS: A total of 1062 patients from 11 studies were included. In univariate analysis, we found that gender, age, TNM stage, smoking history, lymph node metastasis, pleural metastasis, spread through air spaces (STAS), tumor size, pathological grade, computed tomography (CT) findings of consolidative-type morphology, pneumonia type, and well-defined heterogeneous ground-glass opacity (GGO) were risk factors for IMA, and spiculated margin sign was a protective factor. In multivariate analysis, smoking history, lymph node metastasis, pathological grade, STAS, tumor size, and pneumonia type sign were found to be risk factors. There was not enough evidence that epidermal growth factor receptor (EGFR) mutations, anaplastic lymphoma kinase (ALK) mutations, CT signs of lobulated margin, and air bronchogram were related to the prognosis for IMA. CONCLUSION: In this study, we comprehensively analyzed prognostic factors for invasive mucinous adenocarcinoma of the lung in univariate and multivariate analyses of OS and/or DFS. Finally, 12 risk factors and 1 protective factor were identified. These findings may help guide the clinical management of patients with invasive mucinous adenocarcinoma of the lung.

Evaluation of Clinical Efficacy of Acupuncture and Moxibustion for Asthma: Systematic Review and Meta-Analysis.

Objective: The effectiveness of manual acupuncture for treating bronchial asthma is still debatable and broad, and the effects of different acupuncture points, treatment durations, or illness trajectories have never been rigorously assessed. The objective of this revised systematic review and subgroup meta-analysis of randomized controlled trials (RCTs) is to ascertain the clinical efficacy of manual acupuncture on bronchial asthma and whether these effects varied depending on the acupuncture points, length of treatment, or course of the disease. Materials and methods: PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) criteria were followed for creating a systematic review and meta-analysis. From the beginning through March 25, 2022, six electronic databases were checked. For the treatment of asthma, all RCTs contrasting acupuncture therapy along with conventional treatment against conventional treatment alone were chosen. The information was examined using Review Manager version 5.3 and Comprehensive Meta-Analysis version 3. Clinical efficacy (including the effective rate and the recurrence rate) was the primary outcome, and pulmonary function (including FEV1%, PEF) and The secondary results were T-lymphocyte immunity (containing CD3+, CD4+, and CD8+). Based on the acupuncture points, length of therapy, and nature of the condition, subgroup analyses were carried out. Results: There were a total of 21 RCTs that enrolled 2510 individuals. According to the meta-findings, analysis's manual acupuncture in addition to conventional treatment significantly increased the effective rate when compared to conventional treatment alone [OR = 5.14 95% CI 3.58-7.38, P < .00001], lung functions [FEV1% (MD = 6.18, 95% CI 2.40-9.96, P = .001) and PEF (MD = 0.45 95% CI 0.18-0.73, P = .001)], immune functions [CD3+ T lymphocytes (MD = 7.55 95% CI 6.55-8.56, P < .00001), CD4+ T-lymphocytes (MD = 5.11 95% CI 4.09-6.13, P < .00001), T-lymphocyte CD8+ (MD = -0.37.11 95% CI -3.62--2.51, P < .00001)] and noteworthy reduction in the recurrence rate (OR = 0.19 95% CI 0.10-0.38, P < .00001). Results from the subgroup analysis were consistent. Conclusion: Manual acupuncture combined with Western Medicine is more effective than conventional treatment alone for bronchial asthma. Combination therapy can significantly improve clinical efficacy, lung function, and immune function while reducing the relapse rate. But to further support the results of this investigation, high-quality RCTs with long-term outcomes are still required, taking into account the inherent limitations of the included studies. Registration number: PROSPERO (no. CRD42022357805) (https://www.crd.york.ac.uk/prospero/).

Hirudin inhibit the formation of NLRP3 inflammasome in cardiomyocytes via suppressing oxidative stress and activating mitophagy.

Context: Cardiomyocyte hypertrophy due to hemodynamic overload eventually leads to heart failure. Hirudin has been widely used in the treatment of cardiovascular diseases and NLRP3 inflammasome was proven to induce cardiomyocyte pyroptosis. However, the mechanism by which it inhibits cardiomyocyte hypertrophy remains unclear. Objective: To explore the mechanism of hirudin inhibiting cardiomyocyte hypertrophy based on NLRP3 inflammasome activation and mitophagy. Materials & methods: 1 µM AngII was used for cardiac hypertrophy modeling in H9C2 cells, and cell viability was quantified by CCK-8 assay to screen the appropriate action concentrations of hirudin. After that, we cultured AngII induced-H9C2 cells for 24 h with 0, 0.3, 0.6, and 1.2 mM hirudin, respectively. Next, we marked H9C2 cells with phalloidine and observed them using fluorescence microscope. IL-1ß, IL-18, IL-6, TNF-α, ANP, BNP, ß-MHC, and mtDNA were analyzed by qRT-PCR; ROS were quantified by Flow cytometry; SOD, MDA, and GSH-Px were detected by ELISA; and proteins including NLRP3, ASC, caspase-1, pro-caspase-1, IL-1ß, IL-18, PINK-1, Parkin, beclin-1, LC3-Ⅰ, LC3-Ⅱ, p62, were quantified by western blotting. Results: It was discovered that hirudin reduced the superficial area of AngII-induced H9C2 cells and inhibited the AngII-induced up-regulation of ANP, BNP, and ß-MHC. Besides, hirudin down-regulated the expressions of NLRP3 inflammasome-related cytokines, containing IL-1ß, IL-18, IL-6, TNF-α. It also down-regulated the expression of mtDNA and ROS, decreased the expression levels of NLRP3 inflammasome activation related proteins, including NLRP3, ASC, caspase-1, pro-caspase-1, IL-1ß, IL-18; and increased the expressions of PINK-1, Parkin, beclin-1, LC3-Ⅱ/LC3-Ⅰ, p62 in AngII-induced H9C2 cells. Discussion: Hirudin promoted the process of mitophagy, inhibited the development of inflammation and oxidative stress, and inhibited the activation of the NLRP3 inflammasome and the PINK-1/Parkin pathway. Conclusion: Hirudin has the activity to suppress cardiac hypertrophy may benefit from the inhibition of NLRP3 inflammasome and activating of PINK-1/Parkin related-mitophagy.

Landscape of Clinical Resistance Mechanisms to FGFR Inhibitors in FGFR2-Altered Cholangiocarcinoma.

PURPOSE: FGFR inhibitors are effective in FGFR2-altered cholangiocarcinoma, leading to approval of reversible FGFR inhibitors, pemigatinib and infigratinib, and an irreversible inhibitor, futibatinib. However, acquired resistance develops, limiting clinical benefit. Some mechanisms of resistance have been reported, including secondary FGFR2 kinase domain mutations. Here, we sought to establish the landscape of acquired resistance to FGFR inhibition and to validate findings in model systems. EXPERIMENTAL DESIGN: We examined the spectrum of acquired resistance mechanisms detected in circulating tumor DNA or tumor tissue upon disease progression following FGFR inhibitor therapy in 82 FGFR2-altered cholangiocarcinoma patients from 12 published reports. Functional studies of candidate resistance alterations were performed. RESULTS: Overall, 49 of 82 patients (60%) had one or more detectable secondary FGFR2 kinase domain mutations upon acquired resistance. N550 molecular brake and V565 gatekeeper mutations were most common, representing 63% and 47% of all FGFR2 kinase domain mutations, respectively. Functional studies showed different inhibitors displayed unique activity profiles against FGFR2 mutations. Interestingly, disruption of the cysteine residue covalently bound by futibatinib (FGFR2 C492) was rare, observed in 1 of 42 patients treated with this drug. FGFR2 C492 mutations were insensitive to inhibition by futibatinib but showed reduced signaling activity, potentially explaining their low frequency. CONCLUSIONS: These data support secondary FGFR2 kinase domain mutations as the primary mode of acquired resistance to FGFR inhibitors, most commonly N550 and V565 mutations. Thus, development of combination strategies and next-generation FGFR inhibitors targeting the full spectrum of FGFR2 resistance mutations will be critical.

Evaluating Machine Learning Methods of Analyzing Multiclass Metabolomics.

Multiclass metabolomic studies have become popular for revealing the differences in multiple stages of complex diseases, various lifestyles, or the effects of specific treatments. In multiclass metabolomics, there are multiple data manipulation steps for analyzing raw data, which consist of data filtering, the imputation of missing values, data normalization, marker identification, sample separation, classification, and so on. In each step, several to dozens of machine learning methods can be chosen for the given data set, with potentially hundreds or thousands of method combinations in the whole data processing chain. Therefore, a clear understanding of these machine learning methods is helpful for selecting an appropriate method combination for obtaining stable and reliable analytical results of specific data. However, there has rarely been an overall introduction or evaluation of these methods based on multiclass metabolomic data. Herein, detailed descriptions of these machine learning methods in multiple data manipulation steps are reviewed. Moreover, an assessment of these methods was performed using a benchmark data set for multiclass metabolomics. First, 12 imputation methods for imputing missing values were evaluated based on the PSS (Procrustes statistical shape analysis) and NRMSE (normalized root-mean-square error) values. Second, 17 normalization methods for processing multiclass metabolomic data were evaluated by applying the PMAD (pooled median absolute deviation) value. Third, different methods of identifying markers of multiclass metabolomics were evaluated based on the CWrel (relative weighted consistency) value. Fourth, nine classification methods for constructing multiclass models were assessed using the AUC (area under the curve) value. Performance evaluations of machine learning methods are highly recommended to select the most appropriate method combination before performing the final analysis of the given data. Overall, detailed descriptions and evaluation of various machine learning methods are expected to improve analyses of multiclass metabolomic data.

Arts therapies for mental disorders in COVID-19 patients: a comprehensive review.

Background and objective: The COVID-19 global pandemic has necessitated the urgency for innovative mental health interventions. We performed a comprehensive review of the available literature on the utility and efficacy of arts therapies in treating mental health problems, with special emphasis on their deployment during the COVID-19 pandemic, aiming to provide some evidence for the application of this therapy. Methods: The potential studies were systematically sourced from five authoritative databases: PubMed, Embase, the Cochrane Library, Web of Science, and the CNKI database. The evaluation of these studies was conducted based on stringent criteria, including validity, suitability, therapeutic potential, and consistency. Each piece of included literature was meticulously scored in accordance with these criteria, thus ensuring the inclusion of only the most robust studies in this review. The data from these Randomized Controlled Trials (RCTs) were carefully extracted using the PICO(S) framework, ensuring a comprehensive and systemic approach to data collection. In order to emphasize the variability in the effects of differing arts therapies on COVID-19-induced psychiatric disturbances, the sourced literature was systematically categorized and scrutinized based on distinct modalities. Results: Out of the 7,250 sourced articles, 16 satisfied the inclusion conditions. The therapies were predominantly meditation (n = 7), supplemented by individual studies on color therapy (n = 3), music therapy (n = 2), and single studies on horticultural therapy, dance therapy, mindfulness and music therapy, and yoga and music therapy (n = 4 collectively). These various forms of arts therapies had a positive short to medium-term impact on the mental health of COVID-19 patients. Besides improving patients' physical and mental health, these therapies can also be employed to mitigate mental health issues among healthcare professionals. Conclusion: The COVID-19 pandemic has profound and long-lasting implications for public mental health. Diverse forms of arts therapies are potentially effective in addressing related psychiatric symptoms. The integration of artificial intelligence might further enhance the efficacy and scalability of arts therapies in future implementations.

Effectiveness and safety of 99Tc-methylene diphosphonate as a disease-modifying anti-rheumatic drug (DMARD) in combination with conventional synthetic (cs) DMARDs in the treatment of rheumatoid arthritis: A systematic review and meta-analysis of 34 randomized controlled trials.

Background: Technetium [99Tc] methylene diphosphonate injection (99Tc-MDP) is widely used for the treatment of rheumatoid arthritis (RA), but there is still insufficient evidence for its application. Through the utilization of meta-analysis and systematic reviews, this study aimed to evaluate the effectiveness and safety of 99 TC-MDP in combination with conventional synthetic disease-modifying anti-rheumatic drugs (csDMARDs) for RA. Methods: This study was registered on PROSPERO in advance (CRD42021220780). A systematic search was conducted in PubMed, Embase, the Cochrane Library, and multiple international public databases from their inception to April 2023 to identify clinical randomized controlled trials exploring the use of 99Tc-MDP combined with csDMARDs in the treatment of RA. Each outcome was subjected to meta-analysis, and the quality of evidence was assessed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. The American College of Rheumatology's 50 %/70 % response criteria scores (ACR50/70) scores were utilized as the primary effectiveness outcomes, and risks were measured by assessing the rates of AEs. Moreover, secondary efficacy outcomes were evaluated, including the Disease Activity Score 28 (DAS28) and bone mineral density (BMD) as joint function indicators and the erythrocyte sedimentation rate (ESR) and interleukin-17 (IL-17) as inflammatory indicators. Results: In this meta-analysis, a total of 34 studies (2296 patients) were included out of 1149 retrieved studies. The summarized results showed that the treatment group treated with the combination of 99Tc-MDP and csDMARDs had significantly higher ACR50 (RR = 1.32, 95 % CI: 1.13-1.55, P = 0.0004) and ACR70 (RR = 1.40, 95 % CI: 1.07-1.82, P = 0.01) scores than the control group receiving csDMARDs alone. In addition, the overall incidence of AEs was lower with the combination of 99Tc-MDP and csDMARDs than with csDMARDs alone (RR = 0.75, 95 % CI: 0.60-0.93, P = 0.009), but the possibility of phlebitis was higher in the treatment group (RR = 4.15, 95 % CI: 1.04-16.50, P = 0.04). In addition, the combination of 99Tc-MDP and csDMARDs had advantages over csDMARDs alone in improving DAS28 (WMD = 1.56, 95 % CI: 0.86-2.25, P < 0.0001), BMD (SMD = 1.12, 95 % CI 0.46-1.78, P = 0.0008), ESR (SMD = 0.71, 95 % CI 0.45-0.97, P < 0.00001), and IL-17 (WMD = 5.82, 95 % CI 3.86-7.77, P < 0.00001). However, the above results might have been influenced by the 99Tc-MDP dosage, csDMARD category, and treatment duration. Combining methotrexate and leflunomide, administering continuous treatment for 24 weeks, or using 3 sets of 99Tc-MDP doses (16.5 mg) may be the optimal 99Tc-MDP treatment plan for RA. Conclusion: Compared with csDMARD therapy alone, the combination therapy with 99Tc-MDP is more effective for RA patients and is associated with a lower overall incidence of adverse events, although the possibility of phlebitis was higher. However, due to the inherent limitations of the included RCTs, high-quality clinical trials are still needed to further assess the effectiveness and safety of this combination therapy.

Crosstalk and plasticity driving between cancer-associated fibroblasts and tumor microenvironment: significance of breast cancer metastasis.

Cancer-associated fibroblasts (CAFs) are the most abundant stromal cell population in breast tumors. A functionally diverse population of CAFs increases the dynamic complexity of the tumor microenvironment (TME). The intertwined network of the TME facilitates the interaction between activated CAFs and breast cancer cells, which can lead to the proliferation and invasion of breast cells. Considering the special transmission function of CAFs, the aim of this review is to summarize and highlight the crosstalk between CAFs and breast cancer cells in the TME as well as the relationship between CAFs and extracellular matrix (ECM), soluble cytokines, and other stromal cells in the metastatic state. The crosstalk between cancer-associated fibroblasts and tumor microenvironment also provides a plastic therapeutic target for breast cancer metastasis. In the course of the study, the inhibitory effects of different natural compounds on targeting CAFs and the advantages of different drug combinations were summarized. CAFs are also widely used in the diagnosis and treatment of breast cancer. The cumulative research on this phenomenon supports the establishment of a targeted immune microenvironment as a possible breakthrough in the prevention of invasive metastasis of breast cancer.

Zhilong Huoxue Tongyu capsule inhibits rabbit model of hyperlipidemia and atherosclerosis through NF-κB/NLRP3 signaling pathway.

Objective: Zhilong Huoxue Tongyu capsule (ZL) is a Chinese patent medicine for treating cardio-cerebral diseases. However, the pharmacological mechanism by which it regulates blood lipids and treats atherosclerosis (AS) is unclear. Therefore, the purpose of this study is to explore the mechanism of ZL inhibiting hyperlipidemia and treating AS through NF-κB/NLRP3 signaling pathway. Methods: Fifty New Zealand white rabbits were divided into control, model, model + ZL (3.12 g/kg/d, i.g.), model + atorvastatin (0.51 mg/kg/d, i.g.), and model + ZL + atorvastatin groups. Except for the control group, all other groups underwent carotid intima air drying and received a high-fat diet for 28 days to establish hyperlipidemia AS model, and drug treatment was given for the same period of time after modeling. Pathological changes and blood lipids were detected, NF-κB/NLRP3-related protein or gene expression levels were analyzed in carotid tissue. Results: ZL significantly reduced blood lipids and delayed the progression of AS. TC, TG, and LDL-C were decreased while HDL-C was increased in blood, IMT thickening and plaque formation of carotid arteries were inhibited, VRI was alleviated, and pathological features were improved. NF-κB, NLRP3 and IL-1ß in the carotid artery were significantly down-regulated after intervention with ZL. RT-PCR and western blot analysis showed that NF-κB (p-NF-κB), NLRP3, caspase-1, IL-1ß and IL-18 were significantly downregulated by ZL. Conclusions: ZL can be used effectively as adjuvant therapy for hyperlipidemia and AS, combining it with atorvastatin yielded more optimized efficacy, but its anti-inflammatory and pharmacological mechanisms of inhibiting pyroptosis should be studied further.

A classical herbal formula alleviates high-fat diet induced nonalcoholic steatohepatitis (NASH) via targeting mitophagy to rehabilitate dysfunctional mitochondria, validated by UPLC-HRMS identification combined with in vivo experiment.

BACKGROUND: Nonalcoholic steatohepatitis (NASH) has caused a significant burden on public health care systems, the economy and society. However, there has still been no officially approved pharmacotherapy for NASH. It has been suggested that oxidative stress and mitochondrial dysfunction play vital roles in NASH pathological progression. Shugan Xiaozhi (SG) formula, as a kind of classical herbal formula, was shown to attenuate NASH. PURPOSE: This study aimed to explore the potential mechanisms of SG formula treating NASH. STUDY DESIGN AND METHODS: Ultra-high-performance liquid chromatography-high resolution mass spectrometry combined with bioinformatics analysis was applied to explore the therapeutic targets and main components of SG formula. Moreover, in vivo NASH model was utilized to confirmed the therapeutic effects of SG formula. Molecular docking analysis and further validation experiments were conducted to verify the results of bioinformatics analysis. RESULTS: The in vivo experiments confirmed SG formula significantly attenuated hepatic pathological progression and relieved oxidative stress in high-fat diet (HFD) induced - NASH model. Ultra-high-performance liquid chromatography-high resolution mass spectrometry (UPLC-HRMS) combined with bioinformatics analysis expounded the components of SG formula and revealed the mitochondrial regulation mechanism of SG formula treating NASH. Further in vivo experiments validated that SG formula could alleviate oxidative stress by rehabilitating the structure and function of mitochondria, which was strongly related to regulating mitophagy. CONCLUSION: In summary, this study demonstrated that SG formula, which could attenuate NASH by regulating mitochondria and might be a potential pharmacotherapy for NASH.