Cancer-related cognitive impairment(CRCI)refers to cognitive dysfunction that occurs during or after chemotherapy in patients with cancer.However,the pathogenesis of CRCI remains unclear,and effective treatments are lacking in clinical practice.Based on the"toxin damaging brain collaterals"theory,this study systematically explores the traditional Chinese medicine(TCM)etiology,pathogenesis,and treatment strategies of CRCI.In TCM,CRCI is attributed to a"deficiency of brain collaterals"in patients with cancer.Chemotherapy drugs,as exogenous pathogens,invade the brain when the body is weakened and interact with endogenous phlegm,blood stasis,and turbid toxins.This creates a vicious cycle of"toxin,blood stasis,phlegm,deficiency"ultimately leading to the malnourishment of the sea of marrow and the dysfunction of the spiritual mechanism.Modern biological research aligns with this TCM perspective,as neurotoxicity,oxidative stress,and inflammatory responses associated with CRCI correspond to the TCM concepts of"toxin damaging brain collaterals."Pathological changes such as increased microvascular permeability and neuronal network disruption are similar to the TCM pathogenesis characteristics of"toxin and blood stasis blocking the collaterals"and"emptiness of the sea of marrow."Given the progressive nature of CRCI pathogenesis,TCM therapeutic principles focus on strengthening healthy qi,enhancing cognitive function,eliminating toxins,and unblocking collaterals.Acupuncture,moxibustion,and Daoyin serve as supplementary external treatments,forming a comprehensive treatment approach of"treating the viscera through the collaterals and regulating the body to nourish the spirit."This framework provides novel insights for TCM diagnosis and CRCI treatment.

Objective: To construct an evaluation index system of cervical cancer prevention and control literacy, so as to provide an assessment tool for cervical cancer prevention and control literacy. Methods: The preliminary framework for cervical cancer prevention and control literacy was designed based on literature review. Twenty-one experts with both theoretical and practical experience in cervical cancer prevention and control were invited to participate in two rounds of Delphi consultation. The weights of indicators were determined by the percentage weighting method and product method, and the response rate, authority level, opinion concentration degree, and coordination degree of experts were evaluated. Results: Twenty-one experts participated in the consultation, including 3 males and 18 females. There were 11 experts with a doctor's degree, 7 with a master's degree and 3 with a bachelor's degree. All of them had senior professional titles and had more than 10 years of working experience. The recovery rates of the two rounds of consultations were 100.00% and 95.24%, the authority coefficients were 0.963 and 0.948, and Kendall's coefficients of concordance were 0.175 and 0.148 (both P<0.05), respectively. The final cervical cancer prevention and control literacy evaluation index system included 3 primary indicators (basic knowledge and concepts: 0.334; healthy lifestyle and behaviors: 0.338; basic skills: 0.328), 12 secondary indicators, with "capability to accurately acquire, comprehend, evaluate and apply health information" having the highest weight (0.166), and 51 tertiary indicators, with "HPV vaccination" (0.086), "consulting on relevant issues" (0.082), and "expressing personal perspectives" (0.080) having relatively higher weights. Conclusion The evaluation index system of cervical cancer prevention and control literacy serves as a valid assessment tool for women of appropriate age, providing the reference for developing targeted health education to enhance cervical cancer prevention and control literacy.

Objective To explore the efficacy of single and combined parameters from 4 non-Gaussian diffusion models for differentiating breast imaging reporting and data system(BI-RADS)MRI category 4 benign and malignant breast tumors.Methods A total of 161 BI-RADS MRI category 4 breast lesions from 159 patients were retrospectively enrolled.Based on pathological results,the lesions were divided into malignant group(n=132)and benign group(n=29).The apparent diffusion coefficient(ADC)values were calculated from diffusion weighted imaging(DWI)sequences.Multi-b-value diffusion imaging data were acquired and fitted using 4 non-Gaussian models to obtain respective parameters,including diffusion kurtosis imaging(DKI),stretched exponential model(SEM),continuous-time random walk(CTRW)and fractional order calculus(FROC)model.Univariable and multivariable logistic regression analyses were employed to identify the diffusion quantitative indicators useful for differentiating benign and malignant BI-RADS MRI category 4 breast tumors.Receiver operating characteristic(ROC)curves were drawn,and the optimal threshold was determined using Youden index.The differentiating performance of ADC value,single parameter and their combination from non-Gaussian diffusion models were assessed and compared according to the area under the curve(AUC)of ROC curves,as well as the sensitivity,specificity and accuracy under the optimal thresholds.Results In malignant group,αCTRW,KDKI and μFROC values were higher,while ADC,DCTRW,DFROC,DDCSEM,αSEM and DDKI values were lower than those in benign group(all P＜0.05).Multivariable logistic regression analysis identified DCTRW and αCTRW values as independent factors for differentiating benign and malignant BI-RADS MRI category 4 breast tumors(both P＜0.05),and a combined model was then constructed.The AUC of the combined model was higher than that of each single parameter including ADC,DCTRW and αCTRW values(all P＜0.05).Conclusion The combined model of DCTRW and αCTRW had better efficacy than each single parameter for differentiating benign and malignant BI-RADS MRI category 4 breast tumors.

Objective To explore the efficacy of single and combined parameters from 4 non-Gaussian diffusion models for differentiating breast imaging reporting and data system(BI-RADS)MRI category 4 benign and malignant breast tumors.Methods A total of 161 BI-RADS MRI category 4 breast lesions from 159 patients were retrospectively enrolled.Based on pathological results,the lesions were divided into malignant group(n=132)and benign group(n=29).The apparent diffusion coefficient(ADC)values were calculated from diffusion weighted imaging(DWI)sequences.Multi-b-value diffusion imaging data were acquired and fitted using 4 non-Gaussian models to obtain respective parameters,including diffusion kurtosis imaging(DKI),stretched exponential model(SEM),continuous-time random walk(CTRW)and fractional order calculus(FROC)model.Univariable and multivariable logistic regression analyses were employed to identify the diffusion quantitative indicators useful for differentiating benign and malignant BI-RADS MRI category 4 breast tumors.Receiver operating characteristic(ROC)curves were drawn,and the optimal threshold was determined using Youden index.The differentiating performance of ADC value,single parameter and their combination from non-Gaussian diffusion models were assessed and compared according to the area under the curve(AUC)of ROC curves,as well as the sensitivity,specificity and accuracy under the optimal thresholds.Results In malignant group,αCTRW,KDKI and μFROC values were higher,while ADC,DCTRW,DFROC,DDCSEM,αSEM and DDKI values were lower than those in benign group(all P＜0.05).Multivariable logistic regression analysis identified DCTRW and αCTRW values as independent factors for differentiating benign and malignant BI-RADS MRI category 4 breast tumors(both P＜0.05),and a combined model was then constructed.The AUC of the combined model was higher than that of each single parameter including ADC,DCTRW and αCTRW values(all P＜0.05).Conclusion The combined model of DCTRW and αCTRW had better efficacy than each single parameter for differentiating benign and malignant BI-RADS MRI category 4 breast tumors.

Cancer-related cognitive impairment(CRCI)refers to cognitive dysfunction that occurs during or after chemotherapy in patients with cancer.However,the pathogenesis of CRCI remains unclear,and effective treatments are lacking in clinical practice.Based on the"toxin damaging brain collaterals"theory,this study systematically explores the traditional Chinese medicine(TCM)etiology,pathogenesis,and treatment strategies of CRCI.In TCM,CRCI is attributed to a"deficiency of brain collaterals"in patients with cancer.Chemotherapy drugs,as exogenous pathogens,invade the brain when the body is weakened and interact with endogenous phlegm,blood stasis,and turbid toxins.This creates a vicious cycle of"toxin,blood stasis,phlegm,deficiency"ultimately leading to the malnourishment of the sea of marrow and the dysfunction of the spiritual mechanism.Modern biological research aligns with this TCM perspective,as neurotoxicity,oxidative stress,and inflammatory responses associated with CRCI correspond to the TCM concepts of"toxin damaging brain collaterals."Pathological changes such as increased microvascular permeability and neuronal network disruption are similar to the TCM pathogenesis characteristics of"toxin and blood stasis blocking the collaterals"and"emptiness of the sea of marrow."Given the progressive nature of CRCI pathogenesis,TCM therapeutic principles focus on strengthening healthy qi,enhancing cognitive function,eliminating toxins,and unblocking collaterals.Acupuncture,moxibustion,and Daoyin serve as supplementary external treatments,forming a comprehensive treatment approach of"treating the viscera through the collaterals and regulating the body to nourish the spirit."This framework provides novel insights for TCM diagnosis and CRCI treatment.

Objective To compare image quality of turbo spin echo(TSE)diffusion tensor imaging(DTI)and echo planar imaging(EPI)DTI for displaying temporal lobe radiation encephalopathy(REP).Methods Thirty nasopharyngeal carcinoma patients with suspected REP disease progression were prospectively enrolled.Subjective evaluation of image sharpness,susceptibility artifacts and deformation of TSE-DTI and EPI-DTI was performed using a 5-point scale,while objective evaluation aimed on the mean diffusion coefficient(MD),fractional anisotropic(FA),signal-to-noise ratio(SNR),contrast-to-noise ratio(CNR)and distortion ratio(DR)were carried on.Results The susceptibility artifacts and deformation scores of TSE-DTI were higher than that of EPI-DTI(P＜0.001).FA of REP edge and normal brain tissue were lower than those of EPI-DTI,with SNR and CNR higher than those of EPI-DTI(both P＜0.001).DR of REP lesions and bilateral temporal lobes were lower than those of EPI-DTI(all P＜0.001).Conclusion Compared with EPI-DTI,TSE-DTI could significantly improve image quality for displaying REP by reducing susceptibility artifacts and deformation of images.

Objective To investigate whether levosimendan can inhibit the apoptosis of C2C12 cells induced by lipopolysaccharide(LPS)through the PTEN/Akt pathway.Methods C2C12 cells were randomly divided into four groups:blank control group,control group comprising cells treated with levosimendan only,LPS-treated group,and a group comprising cells pretreated with levosimendan for 24 h a subsequently treated with LPS for 48 h.The survival rate of C2C12 cells was determined via the CCK-8 method,and cell apoptosis was assessed via Hoechst 33342 staining.The mRNA and protein expression levels of PTEN/Akt pathway components were evaluated via RT-qPCR and Western blotting,respectively.C2C12 cells were also transfected with siRNA to knockdown the PTEN gene,and the effect on the protein expression of apoptotic pathway components was determined.Results Levosimendan increased the survival rate and decreased the apoptosis rate of C2C12 cells after LPS treatment.PTEN gene expression was inhibited by siRNA and the mRNA and protein levels of PTEN/Akt signaling pathway components changed correspondingly.Furthermore,the apoptosis rate of C2C12 cells decreased.Conclusion Levosimendan can inhibit LPS-induced C2C12 cell apoptosis via the PTEN/Akt pathway.

A case of pituicytoma was observed in a Han-Wistar rat from the control group of a 2-year carcinogenicity study. No obvious abnormality were found in clinical observation and necropsy. Hematoxylin and Eosin (HE) staining results showed that nodular hyperplasia in the pars nervosa of the pituitary, which was well demarcated and compressed the adjacent normal tissue. The tumor cells were similar to the glial cells with round or oval nuclei, cytoplasm rich in eosinophilic or vacuole. The tumor cells differentiated well, with no obvious cell pleomorphism and visible mitotic figures. Some tumor cells were arranged in a pseudorosette formation. Immunohistochemical staining (IHC) analysis confirmed positive expression of Glial fibrillary acidic protein (GFAP) and S-100 protein. The tumor was diagnosed as the spontaneous benign pituicytoma combining the HE and IHC staining results.

BACKGROUND: This study aimed to evaluate the correlation between long non-coding RNA (lncRNA)-related single nucleotide polymorphisms (SNPs) and susceptibility to silicosis. METHODS: First, RNA-sequencing (RNA-seq) data were comprehensively analyzed in the peripheral blood lymphocytes of eight participants (four silicosis cases and four healthy controls) exposed to silica dust to identify differentially expressed lncRNAs (DE-lncRNAs). The functional SNPs in the identified DE-lncRNAs were then identified using several databases. Finally, the association between functional SNPs and susceptibility to silicosis was evaluated by a two-stage case-control study. The SNPs of 155 silicosis cases and 141 healthy silica-exposed controls were screened by genome-wide association study (GWAS), and the candidate SNPs of 194 silicosis cases and 235 healthy silica-exposed controls were validated by genotyping using the improved Mutiligase Detection Reaction (iMLDR) system. RESULTS: A total of 76 DE-lncRNAs were identified by RNA-seq data analysis (cut-offs: fold change > 2 or fold change < 0.5, P < 0.05), while 127 functional SNPs among those 76 DE-lncRNAs were identified through multiple public databases. Furthermore, five SNPs were found to be significantly correlated with the risk of silicosis by GWAS screening (P < 0.05), while the results of GWAS and iMLDR validation indicated that the variant A allele of rs1814521 was associated with a reduced risk of silicosis (OR = 0.76, 95% CI = 0.62-0.94, P = 0.011). CONCLUSION The presence of the SNP rs1814521 in the lncRNA ADGRG3 is associated with susceptibility to silicosis. Moreover, ADGRG3 was found to be lowly expressed in silicosis cases. The underlying biological mechanisms by which lncRNA ADGRG3 and rs1814521 regulate the development of silicosis need further study.
Case-Control Studies ; Genetic Predisposition to Disease ; Genome-Wide Association Study ; Humans ; Polymorphism, Single Nucleotide ; RNA, Long Noncoding/genetics* ; Silicosis/genetics*

The p21 activated kinase 4 (PAK4) is serine/threonine protein kinase that is critical for cancer progression. Guided by X-ray crystallography and structure-based optimization, we report a novel subseries of C-3-substituted 6-ethynyl-1H-indole derivatives that display high potential and specificity towards group II PAKs. Among these inhibitors, compound 55 exhibited excellent inhibitory activity and kinase selectivity, displayed superior anti-migratory and anti-invasive properties against the lung cancer cell line A549 and the melanoma cell line B16. Compound 55 exhibited potent in vivo antitumor metastatic efficacy, with over 80% and 90% inhibition of lung metastasis in A549 or B16-BL6 lung metastasis models, respectively. Further mechanistic studies demonstrated that compound 55 mitigated TGF-β1-induced epithelial-mesenchymal transition (EMT).