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The clinical advantage staging and underlying mechanisms of Wangbi Tablets against knee osteoarthritis(KOA) were studied based on the "disease-formula" interaction network. Firstly, the clinical symptoms and related genes corresponding to Wangbi Tablets and KOA in the acute, remission, and recovery phases were collected from clinical guidelines/consensus and SoFDA database, and the putative targets of Wangbi Tablets were obtained from ETCM 2.0. Then, Jaccard similarity and cosine similarity were employed to assess the similarities of clinical symptoms, genes, and enriched pathways between Wangbi Tablets and KOA in different phases. The "disease-formula" interaction network of the drug targets and disease genes was constructed, and the key targets were screened by topological feature calculation. KEGG and Reactome database were used for the functional enrichment of the key targets, on the basis of which the functional characteristics of Wangbi Tablets against KOA in the acute, remission, and recovery phases were predicted. Finally, the SW1353 cells exposed to lipopolysaccharide were used to decipher the mechanism of Wangbi Tablets against KOA. The results showed that 92/3 921, 138/3 708, 139/3 800, and 196/3 946 clinical symptoms and the related genes corresponded to KOA in the acute, remission, and recovery phases and Wangbi Tablets were collected from SoFDA, and 260 putative targets of Wangbi Tablets were obtained from ETCM 2.0. Wangbi Tablets had highest similarity of clinical symptoms, genes, and enriched pathways with KOA in the remission phase and the secondary highest similarity with KOA in the recovery phase. The key targets of Wangbi Tablets mainly participated in the regulation of immunity-inflammation imbalance and exerted pain-relieving and bone-protecting effects to alleviate symptoms such as knee joint pain, joint swelling, soreness, fatigue, and dysfunction. Intriguingly, the key targets of Wangbi Tablets possessed antioxidant effects during KOA in the acute and remission phases, while they maintained material and energy metabolism homeostasis and protected vessels during KOA in the recovery phase. The cell experiment indicated that Wangbi Tablets down-regulated the expression of interleukin(IL)-6, IL-1ß, tumor necrosis factor-α(TNF-α), and Bcl-2-associated X protein(Bax)/B-cell lymphoma 2(Bcl-2) via regulating the phosphatidylinositol 3-kinase(PI3K)-protein kinase B(Akt) signaling pathway. The findings lay a theoretical foundation for further clarifying the clinical advantage stage and precise clinical application of Wangbi Tablets in treating KOA.
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Medicamentos Herbarios Chinos , Osteoartritis de la Rodilla , Comprimidos , Humanos , Medicamentos Herbarios Chinos/farmacología , Osteoartritis de la Rodilla/tratamiento farmacológico , Osteoartritis de la Rodilla/genética , Osteoartritis de la Rodilla/metabolismoRESUMEN
BACKGROUND: Acute gouty arthritis (AGA) is classified as 'arthritis' in traditional Chinese medicine (TCM) theory. Shirebi granules (SGs), derived from the classic prescription SiMiaoWan, exerts satisfying therapeutic efficacy in ameliorating AGA clinically. However, the underlying mechanisms of SGs against AGA remain unclarified. METHODS: AGA-related biological processes, signal pathways and biomarker genes were mined from the GEO database through bioinformatics. SGs components were systematically recognized using the UPLC-Q-TOF-MS/MS. A correlation network was established based on the biomarker genes and the chemical components, from which the signal pathway used for further study was selected. Finally, we established an AGA model using SD rats injected with monosodium urate (MSU) in the ankle joint for experimental validation. A combination of behavioral tests, H&E, safranin O- fast green, western blotting, and immunofluorescence were employed to reveal the mechanism of action of SGs on AGA. RESULTS: The deterioration of AGA was significantly related to the imbalance between immunity and inflammation, neutrophil chemotaxis and inflammatory factor activation. HDAC5, PRKCB, NFκB1, MPO, PRKCA, PIK3CA were identified to be the candidate targets of SGs against AGA, associated with neutrophil extracellular traps (NETs) signal pathway. Animal experiments demonstrated that SGs effectively repaired cartilage damage, blocked TLR4 activation, and inhibited the expression of NETs indicators and inflammatory factors. In addition, SGs prominently alleviated joint redness and swelling, improved joint dysfunction, inhibited inflammatory infiltration of AGA rats. CONCLUSION: Our data reveal that SGs may effectively alleviate the disease severity of AGA by suppressing NETs-promoted imbalance between immunity and inflammation.
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Six new polycyclic polyprenylated acylphloroglucinols (PPAPs), hyperidiones A-F (1-6), were obtained from Hypericum perforatum L. Their structures were characterized via extensive spectroscopic analyses, the circular dichroism data of the in situ formed [Mo2(OCOCH3)4] complexes, the nuclear magnetic resonance calculation with DP4 + probability analysis, and the calculated electronic circular dichroism (ECD) spectra. Compounds 1-6 are bicyclic polyprenylated acylphloroglucinols with a major bicyclo[3.3.1]nonane-2,4,9-trione skeleton. Notably, compound 1 is a rare PPAP with a hydroperoxy group, and a plausible biosynthetic pathway for 1 was proposed. Compounds 4 and 6 exhibited significant neuroprotective effects under 10 µM against corticosterone (CORT)-injured SH-SY5Y cells. Furthermore, compound 4 demonstrated a noteworthy antidepressant effect at the dose of 5 mg/kg in the tail suspension test (TST) of mice, which was equivalent to 5 mg/kg of fluoxetine. And it potentially exerted an antidepressant effect through the hypothalamic-pituitary-adrenal (HPA) axis.
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[This corrects the article DOI: 10.1016/j.jhepr.2023.100806.].
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The primary objective of this study was to compare short-term outcomes between Intracorporeal ileocolic anastomosis (IIA) and extracorporeal ileocolic anastomosis (EIA) after laparoscopic right hemicolectomy in patients with visceral obesity. The secondary objective was to identify risk factors associated with prolonged postoperative ileus (PPOI) after laparoscopic right hemicolectomy. This single-center retrospective study analyzed visceral obesity patients who underwent laparoscopic right hemicolectomy for primary bowel cancer between January 2020 and June 2023. Patients were categorized into IIA and EIA groups based on the type of anastomosis, and a 1:1 propensity score-matched analysis was performed. A total of 129 patients were initially included in this study, with 45 patients in each group following propensity score matching. The IIA group had significantly longer anastomosis times (p < 0.001), shorter incision length (p < 0.001), and shorter length of stay (p = 0.003) than the EIA group. Meanwhile, the IIA group showed a shorter time to first flatus (p = 0.044) and quicker tolerance of a solid diet (p = 0.030). On multivariate analysis, postoperative use of opioid analgesics is an independent risk factor for PPOI (OR: 3.590 95% CI 1.033-12.477, p = 0.044), while IIA is an independent protective factor (OR: 0.195 95% CI 0.045-0.843, p = 0.029). IIA remains a safe and feasible option for visceral obesity patients. It is also associated with a quicker recovery of bowel function and shorter length of stay when compared to EIA. Additionally, IIA is an independent protective factor for PPOI.
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Anastomosis Quirúrgica , Colectomía , Laparoscopía , Obesidad Abdominal , Complicaciones Posoperatorias , Humanos , Masculino , Femenino , Persona de Mediana Edad , Anastomosis Quirúrgica/métodos , Anastomosis Quirúrgica/efectos adversos , Obesidad Abdominal/cirugía , Estudios Retrospectivos , Laparoscopía/métodos , Laparoscopía/efectos adversos , Complicaciones Posoperatorias/etiología , Complicaciones Posoperatorias/epidemiología , Resultado del Tratamiento , Anciano , Colectomía/efectos adversos , Colectomía/métodos , Íleon/cirugía , Colon/cirugía , Factores de Riesgo , Tiempo de Internación , Ileus/etiologíaRESUMEN
The long noncoding RNA growth arrest-specific 5 (lncRNA Gas5) is implicated in various kidney diseases. In this study, we investigated the lncRNA Gas5 expression profile and its critical role as a potential biomarker in the progression of chronic kidney disease. Subsequently, we assessed the effect of lncRNA Gas5 deletion on renal fibrosis induced by unilateral ureteral obstruction (UUO). The results indicated that loss of lncRNA Gas5 exacerbates UUO-induced renal injury and extracellular matrix deposition. Notably, the deletion of lncRNA Gas5 had a similar effect on control mice. The fibrogenic phenotype observed in mice lacking lncRNA Gas5 correlates with peroxisome proliferator-activated receptor (PPAR) signaling pathway activation and aberrant cytokine and chemokine reprogramming. Single-cell RNA sequencing analysis revealed key transcriptomic features of fibroblasts after Gas5 deletion, revealing heterogeneous cellular states suggestive of a propensity for renal fibrosis. Our findings indicate that lncRNA Gas5 regulates the differentiation and activation of immune cells and the transcription of key genes in the PPAR signaling pathway. These data offer novel insights into the involvement of lncRNA Gas5 in renal fibrosis, potentially paving the way for innovative diagnostic and therapeutic targets.
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Fibrosis , ARN Largo no Codificante , Análisis de la Célula Individual , ARN Largo no Codificante/genética , ARN Largo no Codificante/metabolismo , Animales , Fibrosis/genética , Ratones , Perfilación de la Expresión Génica , Masculino , Obstrucción Ureteral/patología , Obstrucción Ureteral/genética , Obstrucción Ureteral/metabolismo , Riñón/patología , Riñón/metabolismo , Transcriptoma , Transducción de Señal/genética , Ratones Endogámicos C57BL , Receptores Activados del Proliferador del Peroxisoma/metabolismo , Receptores Activados del Proliferador del Peroxisoma/genética , Ratones Noqueados , Fibroblastos/metabolismo , Fibroblastos/patología , Enfermedades Renales/genética , Enfermedades Renales/patología , Enfermedades Renales/metabolismoRESUMEN
OBJECTIVES: To evaluate signal enhancement ratio (SER) for tissue characterization and prognosis stratification in pancreatic adenocarcinoma (PDAC), with quantitative histopathological analysis (QHA) as the reference standard. METHODS: This retrospective study included 277 PDAC patients who underwent multi-phase contrast-enhanced (CE) MRI and whole-slide imaging (WSI) from three centers (2015-2021). SER is defined as (SIlt - SIpre)/(SIea - SIpre), where SIpre, SIea, and SIlt represent the signal intensity of the tumor in pre-contrast, early-, and late post-contrast images, respectively. Deep-learning algorithms were implemented to quantify the stroma, epithelium, and lumen of PDAC on WSIs. Correlation, regression, and Bland-Altman analyses were utilized to investigate the associations between SER and QHA. The prognostic significance of SER on overall survival (OS) was evaluated using Cox regression analysis and Kaplan-Meier curves. RESULTS: The internal dataset comprised 159 patients, which was further divided into training, validation, and internal test datasets (n = 60, 41, and 58, respectively). Sixty-five and 53 patients were included in two external test datasets. Excluding lumen, SER demonstrated significant correlations with stroma (r = 0.29-0.74, all p < 0.001) and epithelium (r = -0.23 to -0.71, all p < 0.001) across a wide post-injection time window (range, 25-300 s). Bland-Altman analysis revealed a small bias between SER and QHA for quantifying stroma/epithelium in individual training, validation (all within ± 2%), and three test datasets (all within ± 4%). Moreover, SER-predicted low stromal proportion was independently associated with worse OS (HR = 1.84 (1.17-2.91), p = 0.009) in training and validation datasets, which remained significant across three combined test datasets (HR = 1.73 (1.25-2.41), p = 0.001). CONCLUSION: SER of multi-phase CE-MRI allows for tissue characterization and prognosis stratification in PDAC. CLINICAL RELEVANCE STATEMENT: The signal enhancement ratio of multi-phase CE-MRI can serve as a novel imaging biomarker for characterizing tissue composition and holds the potential for improving patient stratification and therapy in PDAC. KEY POINTS: Imaging biomarkers are needed to better characterize tumor tissue in pancreatic adenocarcinoma. Signal enhancement ratio (SER)-predicted stromal/epithelial proportion showed good agreement with histopathology measurements across three distinct centers. Signal enhancement ratio (SER)-predicted stromal proportion was demonstrated to be an independent prognostic factor for OS in PDAC.
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Background: Total mesorectal excision (TME), represents a key technique in radical surgery for rectal cancer. This study aimed to construct a preoperative nomogram for predicting the surgical difficulty of laparoscopic total mesorectal excision (L-TME) and to investigate whether there were potential benefits of robotic TME (R-TME) for patients with technically challenging rectal cancer. Methods: Consecutive mid-low rectal cancer patients receiving total mesorectal excision were included. A preoperative nomogram to predict the surgical difficulty of L-TME was established and validated. Patients with technically challenging rectal cancer were screened by calculating the prediction score of the nomogram. Then patients with technically challenging rectal cancer who underwent different types of surgery, R-TME or L-TME, were analyzed for comparison. Results: A total of 533 consecutive patients with mid-low rectal cancer who underwent TME at a single tertiary medical center between January 2018 and January 2021 were retrospectively enrolled. Multivariable analysis demonstrated that mesorectal fat area, intertuberous distance, tumor size, and tumor height were independent risk factors for surgical difficulty. Subsequently, these variables were used to construct the nomogram model to predict the surgical difficulty of L-TME. The area under the receiver operating characteristic curve of the nomogram was 0.827 (95% CI 0.745 - 0.909) and 0.809 (95% CI 0.674- 0.944) in the training and validation cohort, respectively. For patients with technically challenging rectal cancer, R-TME was associated with a lower diverting ileostomy rate (p = 0.003), less estimated blood loss (p < 0.043), shorter procedure time (p = 0.009) and shorter postoperative hospital stay (p = 0.037). Conclusion: In this study, we established a preoperative nomogram to predict the surgical difficulty of L-TME. Furthermore, this study also indicated that R-TME has potential technical advantages for patients with technically challenging rectal cancer.
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BACKGROUND: Until now, there has been no particularly effective treatment for chronic kidney disease (CKD). Fibrosis is a common pathological change that exist in CKD. METHODS: To better understand the transcriptional dynamics in fibrotic kidney, we make use of single-nucleus assay for transposase-accessible chromatin sequencing (snATAC-seq) and single-cell RNA sequencing (scRNA-seq) from GEO datasets and perform scRNA-seq of human biopsy to seek possible transcription factors (TFs) regulating target genes in the progress of kidney fibrosis across mouse and human kidneys. RESULTS: Our analysis has displayed chromatin accessibility, gene expression pattern and cell-cell communications at single-cell level in kidneys suffering from unilateral ureteral obstruction (UUO) or chronic interstitial nephritis (CIN). Using multimodal data, there exists epigenetic regulation producing less Sod1 and Sod2 mRNA within the proximal tubule which is hard to withstand oxidative stress during fibrosis. Meanwhile, a transcription factor Nfix promoting the apoptosis-related gene Ifi27 expression found by multimodal data was validated by an in vitro study. And the gene Ifi27 upregulated by in situ AAV injection within the kidney cortex aggravates kidney fibrosis. CONCLUSIONS: In conclusion, as we know oxidation and apoptosis are traumatic factors during fibrosis, thus enhancing antioxidation and inhibiting the Nfix-Ifi27 pathway to inhibit apoptosis could be a potential treatment for kidney fibrosis.
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Antioxidantes , Insuficiencia Renal Crónica , Humanos , Animales , Ratones , Epigénesis Genética/genética , Multiómica , Riñón , Apoptosis/genética , Cromatina , Fibrosis , Factores de Transcripción NFIRESUMEN
BACKGROUND: Undetectable occult liver metastases block the long-term survival of pancreatic ductal adenocarcinoma (PDAC). This study aimed to develop a radiomics-based model to predict occult liver metastases and assess its prognostic capacity for survival. MATERIALS AND METHODS: Patients who underwent surgical resection and were pathologically proven with PDAC were recruited retrospectively from five tertiary hospitals between January 2015 and December 2020. Radiomics features were extracted from tumors, and the radiomics-based model was developed in the training cohort using LASSO-logistic regression. The model's performance was assessed in the internal and external validation cohorts using the area under the receiver operating curve (AUC). Subsequently, the association of the model's risk stratification with progression-free survival (PFS) and overall survival (OS) was then statistically examined using Cox regression analysis and the log-rank test. RESULTS: A total of 438 patients [mean (SD) age, 62.0 (10.0) years; 255 (58.2%) male] were divided into the training cohort ( n =235), internal validation cohort ( n =100), and external validation cohort ( n =103). The radiomics-based model yielded an AUC of 0.73 (95% CI: 0.66-0.80), 0.72 (95% CI: 0.62-0.80), and 0.71 (95% CI: 0.61-0.80) in the training, internal validation, and external validation cohorts, respectively, which were higher than the preoperative clinical model. The model's risk stratification was an independent predictor of PFS (all P <0.05) and OS (all P <0.05). Furthermore, patients in the high-risk group stratified by the model consistently had a significantly shorter PFS and OS at each TNM stage (all P <0.05). CONCLUSION: The proposed radiomics-based model provided a promising tool to predict occult liver metastases and had a great significance in prognosis.
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Carcinoma Ductal Pancreático , Neoplasias Hepáticas , Neoplasias Pancreáticas , Humanos , Masculino , Persona de Mediana Edad , Femenino , Radiómica , Estudios Retrospectivos , Neoplasias Pancreáticas/diagnóstico por imagen , Neoplasias Pancreáticas/cirugía , Carcinoma Ductal Pancreático/diagnóstico por imagen , Carcinoma Ductal Pancreático/cirugía , Neoplasias Hepáticas/diagnóstico por imagen , Neoplasias Hepáticas/cirugíaRESUMEN
Idiopathic pulmonary fibrosis (IPF) is a fatal and devastating lung disease of unknown etiology, described as the result of multiple cycles of epithelial cell injury and fibroblast activation. Despite this impressive increase in understanding, a therapy that reverses this form of fibrosis remains elusive. In our previous study, we found that miR-29b has a therapeutic effect on pulmonary fibrosis. However, its anti-fibrotic mechanism is not yet clear. Recently, our study identified that F-Actin Binding Protein (TRIOBP) is one of the target genes of miR-29b and found that deficiency of TRIOBP increases resistance to lung fibrosis in vivo. TRIOBP knockdown inhibited the proliferation of epithelial cells and attenuated the activation of fibroblasts. In addition, deficiency of Trio Rho Guanine Nucleotide Exchange Factor (TRIO) in epithelial cells and fibroblasts decreases susceptibility to lung fibrosis. TRIOBP interacting with TRIO promoted abnormal epithelial-mesenchymal crosstalk and modulated the nucleocytoplasmic translocation of ß-catenin. We concluded that the miR-29bâTRIOBP-TRIO-ß-catenin axis might be a key anti-fibrotic axis in IPF to regulate lung regeneration and fibrosis, which may provide a promising treatment strategy for lung fibrosis.
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Fibrosis Pulmonar Idiopática , MicroARNs , Animales , Humanos , Ratones , beta Catenina/genética , beta Catenina/metabolismo , Fibroblastos/metabolismo , Fibrosis , Fibrosis Pulmonar Idiopática/patología , Pulmón/metabolismo , Ratones Endogámicos C57BL , Proteínas de Microfilamentos/metabolismo , MicroARNs/genética , MicroARNs/metabolismo , Transducción de Señal/genéticaRESUMEN
Purpose: To investigate the family support, anxiety, depression, health-related quality of life (HRQoL), and their associations among parents and grandparents of children with disabilities. Methods: This is a cross-sectional study and a total of 327 family caregivers were included. Chi-square test, Mann-Whitney U-test, and two independent t-test were used to identify the intergenerational differences in sociodemographic characteristics, received family support, anxiety, depression, and HRQoL. Eight generalized linear models were developed to examine the associations in both generations. Results: Parents and grandparents were most in need of rehabilitation and financial support, but both populations received the least amount of financial support. 33.6% and 36.1% of family caregivers had the risk of anxiety and depression and found no significant intergenerational differences. As for HRQoL, intergenerational differences were found in the physical component score, but not found in the mental component score. Among parents, childcare support of respite care and household tasks assistance was negatively associated with their depression (p<0.05), professional support of appropriate surgery for children (p<0.05) and psychological support from professional psychologists (p<0.01) were negatively associated with their anxiety and depression, psychological support from relatives and friends was negatively associated with their depression (p<0.05) whereas was positively associated with their mental HRQoL (p<0.01). As for grandparents, financial support for daily living expenses was negatively associated with depression (p<0.05), and psychological support from families was negatively associated with depression (p<0.05) whereas was positively associated with mental HRQoL (p<0.05). However, no relationship was found between family support and anxiety among grandparents. Notably, no association was found between family support and physical HRQoL among both populations. Conclusion: Both parents and grandparents had high risks of anxiety, depression and low levels of mental HRQoL. To efficiently improve psychological health, care providers and policymakers may consider intergenerational differences and provide targeted family support.
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Exosomes are nano-scale extracellular vesicles that are found widely in various biological fluids. As messengers, exosomes deliver characteristic biological information from donor cells, facilitating their accumulation and subsequent transfer of information to tumor immune cells. Immunotherapy is a cutting-edge strategy for cancer therapy, but it has not yet reached its full potential owing to severe side effects and limited efficacy. Exosomes possess antigens and immunostimulatory molecules and can serve as cell-free vaccines to induce antitumor immunity. In addition, given their stability, low immunogenicity, and targeting ability, exosomes represent ideal drug delivery systems in tumor immunotherapy by delivering cargoes, including non-coding ribonucleic acids (RNAs), membrane proteins, chemotherapeutic agents, and immune cell death inducers. Exosomes can also be engineered to precisely target tumor cells. However, as a rising star in tumor immunotherapy, exosomes are also impeded by some challenges, including the lack of uniform technical standards for their isolation and purification, the need to improve exosomal cargo loading for efficient exosome delivery, and the expansion of clinical trials, which are currently in their infancy. Long-term, multi-center, and large-scale clinical trials are needed to evaluate the performance of exosomes in the future. Nonetheless, exosomes have demonstrated encouraging performance in tumor immunotherapy. In this review, we summarize the potential and challenges of exosomes in tumor immunotherapy, with the aim to shed light on exosomes as new-era tumor immunotherapy tools.
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Antineoplásicos , Exosomas , Neoplasias , Humanos , Exosomas/metabolismo , Inmunoterapia , Antineoplásicos/farmacología , Inmunización , Biología , Neoplasias/tratamiento farmacológicoRESUMEN
Family caregivers of children with disabilities might face high risks of depression, whereas the existing literature focused more on parents neglecting grandparents. This study investigated 380 parents and 108 grandparents of children with disabilities to identify depression and associated factors. Descriptive statistics, Chi-square test, Mann-Whitney U test, and multivariable logistic regression were performed to describe the participants' characteristics and risks of depression and identify significant factors. Results showed that parents (35.5%) had higher risks of depression than grandparents (32.4%), but statistical differences were not found. Children's sleep problems (AOR = 1.751, 95%CI = 1.019, 3.008), harmonious family relationships (AOR = 0.694, 95%CI = 0.569, 0.846), and better barrier-free construction (AOR = 0.742, 95%CI = 0.568, 0.970) were significantly associated with depression among parents. As for grandparents, higher education (AOR = 4.108, 95%CI = 1.526, 11.057) and caring for children who experience frequent mood swings (AOR = 2.242, 95%CI = 1.161, 4.329) were associated with higher risks of depression. Further, house ownership (AOR = 0.167, 95%CI = 0.031, 0.887), higher family cohesion (AOR = 0.545, 95%CI = 0.297, 1.000), and better barrier-free construction (AOR = 0.401, 95%CI = 0.185, 0.869) were associated with lower odds of depression. Therefore, both parents and grandparents of children with disabilities had high risks of depression and thus required urgent attention. Healthcare providers and policymakers should develop and implement interventions considering intergenerational differences to reach optimal efficiency.
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BACKGROUND: The extension of average life expectancy and the aggravation of population aging have become the inevitable trend of human development. In an aging society, various problems related to medical care for the elderly have become increasingly prominent. However, most of the age-related diseases have the characteristics of multiple diseases at the same time, prone to complications, and atypical clinical manifestations, which bring great difficulties to its treatment. Galangin (3,5,7-trihydroxyflavone) is a natural active compound extracted from the root of Alpinia officinarum Hance (Zingiberaceae). Recently, many studies have shown that galangin has potential advantages in the treatment of neurodegenerative diseases and cardiovascular and cerebrovascular diseases, which are common in the elderly. In addition, it also showed that galangin had prospective activities in the treatment of tumor, diabetes, liver injury, asthma and arthritis. PURPOSE: This review aims to systematically summarize and discuss the effects and the underlying mechanism of galangin in the treatment of age-related diseases. METHODS: We searched PubMed, SciFinder, Web of Science and CNKI literature database resources, combined with the keywords "galangin", "neurodegenerative disease", "tumor", "diabetes", "pharmacological activity", "drug combination", "pharmacokinetics", "drug delivery system" and "safety", and comprehensively reviewed the pharmacological activities and mechanism of galangin in treating age-related diseases. RESULTS: According to the previous studies on galangin, the anti-neurodegenerative activity, cardiovascular and cerebrovascular protective activity, anti-tumor activity, anti-diabetes activity, anti-arthritis activity, hepatoprotective activity and antiasthmatic activity of galangin were discussed, and the related mechanisms were classified and summarized in detail. In addition, the drug combination, pharmacokinetics, drug delivery system and safety of galangin were furtherly discussed. CONCLUSIONS: This review will provide reference for galangin in the treatment of age-related diseases. Meanwhile, further experimental research and long-term clinical trials are needed to determine the therapeutic safety and efficacy of galangin.
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Artritis , Asma , Flavonas , Anciano , Humanos , Estudios Prospectivos , EnvejecimientoRESUMEN
BACKGROUND: As a phosphorylated protein, NOLC1 is mainly located in the nucleus and is highly expressed in a variety of tumors, participating in the regulation of cell proliferation and aging. This study further investigated the role of NOLC1 in colorectal cancer tumors, aiming to provide sufficient scientific evidence for the clinical treatment of colorectal cancer. METHODS: We used TCGA, GEO, TNMplot, GEPIA, and other databases to explore the expression level of NOLC1 in colorectal cancer patients, as well as the correlation between the clinical characteristics of colorectal cancer patients and their expression, and conducted the prognostic analysis. Immunohistofluorescence (IHF) staining verified the analytical results. Subsequently, KEGG and GO enrichment analysis was used to identify the potential molecular mechanism of NOLC1 promoting the occurrence and development of colorectal cancer. The influence of NOLC1 expression on the immune microenvironment of colorectal cancer patients was further investigated using the TIMER database. GDSC database analysis was used to screen out possible anti-colorectal cancer drugs against NOLC1. Finally, we demonstrated the effect of NOLC1 on the activity and migration of colorectal cancer cells by Edu Cell proliferation assay and Wound Healing assay in vitro. RESULTS: Our results suggest that NOLC1 is overexpressed in colorectal cancer, and that overexpression of NOLC1 is associated with relevant clinical features. NOLC1, as an independent risk factor affecting the prognosis of colorectal cancer patients, can lead to a poor prognosis of colorectal cancer. In addition, NOLC1 may be associated with MCM10, HELLS, NOC3L, and other genes through participating in Wnt signaling pathways and jointly regulate the occurrence and development of colorectal cancer under the influence of the tumor microenvironment and many other influencing factors. Related to NOLC1: Selumetinib, Imatinib, and targeted drugs such as Lapatinib have potential value in the clinical application of colorectal cancer. NOLC1 enhances the proliferation and migration of colorectal cancer cells. CONCLUSIONS: High expression of NOLC1 as an independent prognostic factor for survival in patients with colorectal cancer. NOLC1 enhances the proliferation and migration of colorectal cancer cells. Further studies and clinical trials are needed to confirm the role of NOLC1 in the development and progression of colorectal cancer.
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Envejecimiento , Neoplasias Colorrectales , Humanos , Pronóstico , Proliferación Celular , Neoplasias Colorrectales/genética , Bases de Datos Factuales , Microambiente Tumoral , Proteínas Nucleares , FosfoproteínasRESUMEN
The human gut microbiota is a complex ecosystem regulating the host's environmental interaction. The same functional food or drug may have varying bioavailability and distinct effects on different individuals. Drugs such as antibiotics can alter the intestinal flora, thus affecting health. However, the relationship between intestinal flora and non-antibiotic drugs is bidirectional: it is not only affected by drugs; nevertheless, it can alter the drug structure through enzymes and change the bioavailability, biological activity, or toxicity of drugs to improve their efficacy and safety. This review summarizes the roles and mechanisms of antibiotics, antihypertensive drugs, nonsteroidal anti-inflammatory drugs, lipid-lowering drugs, hypoglycemic drugs, virus-associated therapies, metabolites, and dietary in modulating the colorectal cancer gut microbiota. It provides a reference for future antitumor therapy targeting intestinal microorganisms.
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Background & Aims: Distinct vascular patterns, including microvascular invasion (MVI) and vessels encapsulating tumour clusters (VETC), are associated with poor outcomes of hepatocellular carcinoma (HCC). Imaging surrogates of these vascular patterns potentially help to predict post-resection recurrence. Herein, a prognostic model integrating imaging-based surrogates of these distinct vascular patterns was developed to predict postoperative recurrence-free survival (RFS) in patients with HCC. Methods: Clinico-radiological data of 1,285 patients with HCC from China undergoing surgical resection were retrospectively enrolled from seven medical centres between 2014 and 2020. A prognostic model using clinical data and imaging-based surrogates of MVI and VETC patterns was developed (n = 297) and externally validated (n = 373) to predict RFS. The surrogates (i.e. MVI and VETC scores) were individually built from preoperative computed tomography using two independent cohorts (n = 360 and 255). Whether the model's stratification was associated with postoperative recurrence following anatomic resection was also evaluated. Results: The MVI and VETC scores demonstrated effective performance in their respective training and validation cohorts (AUC: 0.851-0.883 for MVI and 0.834-0.844 for VETC). The prognostic model incorporating serum alpha-foetoprotein, tumour multiplicity, MVI score, and VETC score achieved a C-index of 0.748-0.764 for the developing and external validation cohorts and generated three prognostically distinct strata. For patients at model-predicted medium risk, anatomic resection was associated with improved RFS (p <0.05). By contrast, anatomic resection had no impact on RFS in patients at model-predicted low or high risk (both p >0.05). Conclusions: The proposed model integrating imaging-based surrogates of distinct vascular patterns enabled accurate prediction for RFS. It can potentially be used to identify HCC surgical candidates who may benefit from anatomic resection. Impact and implications: MVI and VETC are distinct vascular patterns of HCC associated with aggressive biological behaviour and poor outcomes. Our multicentre study provided a model incorporating imaging-based surrogates of these patterns for preoperatively predicting RFS. The proposed model, which uses imaging detection to estimate the risk of MVI and VETC, offers an opportunity to help shed light on the association between tumour aggressiveness and prognosis and to support the selection of the appropriate type of surgical resection.
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OBJECTIVES: To develop and validate a machine learning model based on contrast-enhanced CT to predict the risk of occurrence of the composite clinical endpoint (hospital-based intervention or death) in cirrhotic patients with acute variceal bleeding (AVB). METHODS: This retrospective study enrolled 330 cirrhotic patients with AVB between January 2017 and December 2020 from three clinical centers. Contrast-enhanced CT and clinical data were collected. Centers A and B were divided 7:3 into a training set and an internal test set, and center C served as a separate external test set. A well-trained deep learning model was applied to segment the liver and spleen. Then, we extracted 106 original features of the liver and spleen separately based on the Image Biomarker Standardization Initiative (IBSI). We constructed the Liver-Spleen (LS) model based on the selected radiomics features. The performance of LS model was evaluated by receiver operating characteristics and calibration curves. The clinical utility of models was analyzed using decision curve analyses (DCA). RESULTS: The LS model demonstrated the best diagnostic performance in predicting the composite clinical endpoint of AVB in patients with cirrhosis, with an AUC of 0.782 (95% CI 0.650-0.882) and 0.789 (95% CI 0.674-0.878) in the internal test and external test groups, respectively. Calibration curves and DCA indicated the LS model had better performance than traditional clinical scores. CONCLUSION: A novel machine learning model outperforms previously known clinical risk scores in assessing the prognosis of cirrhotic patients with AVB CLINICAL RELEVANCE STATEMENT: The Liver-Spleen model based on contrast-enhanced CT has proven to be a promising tool to predict the prognosis of cirrhotic patients with acute variceal bleeding, which can facilitate decision-making and personalized therapy in clinical practice. KEY POINTS: ⢠The Liver-Spleen machine learning model (LS model) showed good performance in assessing the clinical composite endpoint of cirrhotic patients with AVB (AUC ≥ 0.782, sensitivity ≥ 80%). ⢠The LS model outperformed the clinical scores (AUC ≤ 0.730, sensitivity ≤ 70%) in both internal and external test cohorts.