Objective To understand the sleep status in patients with Parkinson's disease (PD), and to explore its relationship with dyskinesia and negative emotions. Methods A total of 308 patients with PD who met the inclusion and exclusion criteria in the hospital from September 2022 to May 2024 were selected as the research subjects. The scores of sleep status [Pittsburgh Sleep Quality Index (PSQI)], dyskinesia [Simplified Fugl-Meyer Motor Assessment (FMA)] and negative emotions [Beck Anxiety Inventory (BAI), Beck Depression Inventory-II (BDI-II)] were analyzed, and the PSQI score was compared among patients with different demographic characteristics. Pearson correlation analysis was performed to analyze the correlation of sleep with dyskinesia and negative emotions in patients with PD. Results The total score of PSQI scale was (6.16±0.97) points in 308 PD patients, of which 208 cases (67.53%) were complicated with sleep disorders. The proportions of female, 61-75 years old, technical secondary school or below, disease course of 4 years and above, Hoehn-Yahr stage IV and unmarried status in the sleep disorder group were higher than those in the non-sleep disorder group (P<0.05). Compared with the non-sleep disorder group, the FMA score in the sleep disorder group was lower (P<0.05) while the BAI score and BDI-II score were higher (P<0.05). Pearson correlation analysis revealed that PSQI was negatively correlated with FMA (r=-0.489, P<0.05), and was positively correlated with BAI and BDI-II (r=0.476, 0.502, P<0.05). Conclusion The incidence rate of sleep disorders in PD patients is high. PSQI is negatively correlated with FMA, and is positively correlated with BAI and BDI-II.

BACKGROUND:At present,osteoarthritis has become a major disease affecting the quality of life of the elderly,and the therapeutic effect is poor,often focusing on preventing the disease process,and the pathogenesis of osteoarthritis is still not fully understood.Bioinformatics analysis was carried out to explore the main pathogenesis of osteoarthritis and related mechanisms of gene coding regulation. OBJECTIVE:To screen core differential genes with a major role in osteoarthritis by gene expression profiling. METHODS:Datasets were downloaded from the Gene Expression Omnibus(GEO):GSE114007,GSE117999,and GSE129147.Differential genes in the GSE114007 and GSE117999 data collections were screened using R software,performing differential genes to weighted gene co-expression network analysis.The module genes most relevant to osteoarthritis were selected to perform protein interaction analysis.Candidate core genes were selected using the cytocape software.The candidate core genes were subsequently subjected to least absolute shrinkage and selection operator regression and COX analysis to identify the core genes with a key role in osteoarthritis.The accuracy of the core genes was validated using an external dataset,GSE129147. RESULTS AND CONCLUSION:(1)A total of 477 differential genes were identified,265 differential genes associated with osteoarthritis were obtained by weighted gene co-expression network analysis,and 8 candidate core genes were identified.The least absolute shrinkage and selection operator regression analysis finally yielded a differential gene ASPM with core value that was externally validated.(2)It is concluded that abnormal gene ASPM expression screened by bioinformatics plays a key central role in osteoarthritis.

Objective To analyze the influencing factors of oral frailty in elderly patients with type 2 diabetes and construct a nomogram prediction model. Methods A total of 370 elderly patients with type 2 diabetes were selected as the research subjects, including 284 patients in the modeling group and 86 patients in the validation group. The Oral Frailty Index-8 (OF-8) Scale was used for oral frailty screening, and a score of ≥4 was considered positive for oral frailty. General information of the two groups was collected through a self-made questionnaire. Multivariate Logistic regression analysis was used to analyze the influencing factors of oral frailty in patients with type 2 diabetes, and nomogram model was constructed. The goodness-of-fit and predictive performance of the model were verified using the Hosmer-Lemeshow goodness-of-fit test and the receiver operating characteristic curve (ROC). Results The incidence of oral frailty among elderly patients with type 2 diabetes was 45.4% (129/284). Age, body mass index (BMI), appendicular skeletal muscle mass index (ASMI), smoking, monthly income and subjective chewing difficulty were identified as influencing factors for oral frailty in elderly diabetic patients (P < 0.05). The areas under the ROC for internal and external validation were 0.887 (95%CI, 0.847 to 0.925) and 0.839 (95%CI, 0.755 to 0.923), respectively. The Hosmer-Lemeshow test showed that χ²=4.852, P=0.773, indicating good goodness-of-fit for the nomogram model. Conclusion Age, ASMI, BMI, smoking, monthly income and subjective chewing difficulty are influencing factors for oral frailty in elderly diabetic patients. The nomogram prediction model constructed based on these influencing factors demonstrates good performance.

Objective:To identify the types of fear of progression in patients after percutaneous coronary intervention (PCI) based on latent profile analysis, and to explore the influencing factors of different types.Methods:Cross-sectional survey method was used to select the patients with coronary heart disease and underwent PCI in Anhui Public Health Clinical Center from April to December 2023 as the research object. The general information questionnaire, Fear of Progression Questionnaire-Short Form, Ruminative Response Scale and Brief Illness Perception Questionnaire were used to investigate them. Mplus8.3 software was used to construct the latent profile model.Results:A total of 240 patients with complete data were enrolled, including 176 males and 64 females, aged 28-84 (62.94 ± 11.20) years. The results of latent profile analysis showed that the fear of progression of patients after PCI could be divided into three latent categories: There were 59 cases (24.6%) in the low fear group, 111 cases (46.3%) in the medium fear group, and 70 cases (29.1%) in the high fear-worried family group. The results of multiple logistic regression analysis showed that compared with the low fear group, the probability of having primary school education or below was higher in the medium fear group ( OR=4.054, 95% CI 1.370-11.996) and the high fear-worry family group ( OR=5.996, 95% CI 1.562-23.014), secondary school was more likely in the moderate fear group ( OR=3.096, 95% CI 1.104-8.682, all P<0.05);Living in rural areas were more likely to be in the moderate fear group ( OR=2.587, 95% CI 1.187-5.637) and the high few-worry family group ( OR=6.958, 95% CI 2.567-18.856, all P<0.05); The probability of the first interventional therapy was higher in the moderate fear group ( OR=2.496, 95% CI 1.107-5.630) and the high fear-worry family group ( OR=4.924, 95% CI=1.809-13.402, all P<0.05). In addition, compared with the low fear group, patients with higher rumination were more likely to belong to the high few-worry family working group ( OR=1.130, 95% CI 1.055-1.210, P<0.05);Moderate fear group ( OR=1.181, 95% CI 1.046-1.334) and high fear family working group ( OR=1.349, 95% CI 1.164-1.562, all P<0.05) had a higher level of illness perception. Conclusions:There is significant heterogeneity in the fear of progression among patients after PCI. Medical staff can implement precise intervention according to the potential category characteristics of patients′ fear of progression, so as to reduce the level of fear of disease progression.

Objective To investigate the effect and mechanism of proteasome inhibitor MG132 on memory impairment induced by chronic hypoxia in mice.Methods(1)A hypoxic model of the mouse midbrain dopaminergic neuron cell line MN9D was established using a hypoxia workstation.To observe the effects of hypoxia on the expression of TH,Ub-K48 and Ub-K63,MN9D cells were divided into normoxia group and hypoxia(12 h,24 h and 48 h)groups.To observe the effects of MG132 on the expression of the above-mentioned proteins,MN9D cells were divided into normoxia group,hypoxia group and hypoxia + MG132(25,50,100,200 μmol/L)group.(2)A mouse model of memory impairment was established using a hypobaric chamber.To observe the effects of hypobaric hypoxia on the expression of TH,Ub-K48 and Ub-K63 in the substantia nigra compacta(SNc)of mice,thirty C57BL/6 mice were randomly and equally divided into normoxia group and hypobaric hypoxia(3 d and 21 d)groups,10 in each group.To observe the effects of MG132 on spatial memory impairment induced by hypobaric hypoxia,twenty-four C57BL/6 mice were randomly and equally divided into normoxia group,hypobaric hypoxia 21 d group and hypobaric hypoxia 21 d+MG132 group,8 in each group.(3)The protein expression levels of TH,Ub-K48,and Ub-K63 in MN9D cells which were either subjected to different durations of hypoxia treatment or pre-treated with MG132 prior to hypoxia treatment were detected using Western blotting(WB).The novel object recognition test was used to detect the memory function of mice.Immunofluorescence was used to detect the proportion of positive immunoreactive area of TH response in the SNc region.The expression levels of TH,Ub-K48,and Ub-K63 in the SNc region were detected by WB.Results(1)Compared with normoxia group,MN9D cells in hypoxia 24 h group showed increasing expression of Ub-K48 and Ub-K63(P<0.05),and decreasing expression of TH(P<0.05),and MN9D cells in all hypoxia groups showed increasing expression of Ub-K48/TH and Ub-K63/TH(P<0.05).Compared with hypoxia group,MN9D cells showed decreasing expression of Ub-K48/TH and Ub-K63/TH in hypoxia + MG132 100 umol/L group and hypoxia + MG132 200 umol/L group(P<0.05).(2)Compared with the mice in normoxia group,mice in 3 d and 21 d hypobaric hypoxia groups showed decreasing expression of TH(P<0.001),and increasing expression of Ub-K48/TH and Ub-K63/TH(P<0.05)in the SNc region.Compared with normoxia group,the mice in 21 d hypobaric hypoxia group showed a lower new object recognition index(P<0.01),and the proportion of positive immunoreactive area of TH response in the SNc region(P<0.05).Compared with 21 d hypobaric hypoxia group,the mice in hypobaric hypoxia 21 d+MG132 group showed a higher new object recognition index(P<0.01).Conclusion The proteasome inhibitor MG132 could alleviate the memory impairment induced by chronic hypoxia in mice,and its mechanism may be related to the inhibition of Ub-K63 and Ub-K48,which in turn upregulates expression of TH in dopaminergic neurons.

Norovirus is the global leading cause of epidemic and endemic acute gastroenteritis in people of all ages.To inves-tigate the genetic diversity of GⅡ genogroup noroviruses linked to clustered infections in northeast Chongqing,we collected anal swabs or environmental smears from 11 norovirus outbreaks during 2021-2022.Norovirus RNA was detected by quantitative real-time PCR(qRT-PCR),and partial viral RdRp/capsid genes were amplified by reverse transcription PCR(RT-PCR)and sequenced.Among samples from 11 outbreaks in 4 districts and counties,55 strains of GⅡ genogroup norovirus were detected.Six genotypes were identified with an online norovirus genotyping tool(http://www.rivm.nl/mpf/norovirus/typingtool).Genotype GⅡ.17[P17]was associated with four outbreaks;the co-circulating GⅡ.17[P17]and GⅡ.1[P16]caused another out-break;GⅡ.6[P7]and GⅡ.8[P8]respectively were linked to two outbreaks;and GⅡ.3[P12]and GⅡ.2[P16]respectively ac-counted for one outbreak.Phylogenetic analysis also indicated that 55 GⅡ genogroup strains formed five clusters,with norovir-uses of identical genotypes from diverse events belonging to the same cluster,and that genetically distinct genotypes from di-verse events belonged to different clusters.Therefore,our results revealed that multiple genotypes associated with norovirus outbreaks were circulating in northeast Chongqing,and GⅡ.17[P17]was the predominant genotype linked to these out-breaks during 2021-2022.Most norovirus outbreak events were caused by single sources,and genetic relationships were demonstrated among noroviruses of identical genotypes from diverse events.

The current treatment of glioma is facing drug resistance,which limits the efficacy of traditional chemotherapy drugs.This study aims to explore the potential mechanisms of the trifluoromethylquinazoline compound(KZL204)against glioma.Through the Cell Counting Kit-8(CCK-8)assay,we found that KZL204 significantly inhibits the growth of drug-resistant cancer cells,with a 48-hour half-maximal inhibitory concentration(IC50)of 3.63±0.38 μmol/L,which is significantly better than the positive control drug temozolomide(TMZ)(IC50 value of 81.67±5.49 μmol/L).Additionally,flow cytometry analysis showed that KZL204 treatment significantly increased the apoptosis rate of drug-resistant tumor cells and arrested the cell cycle at the G2/M phase.At the same time,the Transwell assay confirmed the inhibitory effect of KZL204 on the migration and invasion of drug-resistant cancer cells.Transcriptome analysis revealed 2 435 differentially expressed genes in drug-resistant cancer cells treated with KZL204,of which 1 320 were upregulated,and 1 115 were downregulated.KEGG and GO enrichment analysis showed that these differential genes were significantly enriched in apoptosis-related signaling pathways.Further bioinformatics prediction and Venn diagram analysis identified 35 potential core targets,with the PI3K-AKT signaling pathway being the most significant among the differentially expressed genes.Quantitative real-time PCR(RT-qPCR)experiments confirmed the downregulating effects of KZL204 on genes such as CREB3L1,CSF1,CXCL5,BCL3,and the upregulating effects on genes like FOS,LT A,PTGS2,MAP2K3.Immunoblotting experiments at the protein level also confirmed the impact of KZL204 on the expression of apoptotic proteins,including the upregulation of Bax,cleaved Caspase-3 protein,and the downregulation ofAKT,Bcl-2,Caspase-3,and Caspase-8 protein expression.In summary,KZL204 significantly inhibits the growth and metastasis of drug-resistant glioblastoma and induces apoptosis and cell cycle arrest by regulating the PI3K-AKT and apoptosis-related signaling pathways,demonstrating its potential as a candidate drug against drug-resistant glioma.

Objective To explore the biomarkers and potential mechanisms of chronic restraint stress-induced myocardial injury in hyperlipidemia ApoE-/-mice.Methods The hyperlipidemia combined with the chronic stress model was established by restraining the ApoE-/-mice.Proteomics and bioinformatics techniques were used to describe the characteristic molecular changes and related regulatory mechanisms of chronic stress-induced myocardial injury in hyperlipidemia mice and to explore potential diagnostic biomarkers.Results Proteomic analysis showed that there were 43 significantly up-regulated and 58 sig-nificantly down-regulated differentially expressed proteins in hyperlipidemia combined with the restraint stress group compared with the hyperlipidemia group.Among them,GBP2,TAOK3,TFR1 and UCP1 were biomarkers with great diagnostic potential.KEGG pathway enrichment analysis indicated that fer-roptosis was a significant pathway that accelerated the myocardial injury in hyperlipidemia combined with restraint stress-induced model.The mmu_circ_0001567/miR-7a/Tfr-1 and mmu_circ_0001042/miR-7a/Tfr-1 might be important circRNA-miRNA-mRNA regulatory networks related to ferroptosis in this model.Conclusion Chronic restraint stress may aggravate myocardial injury in hyperlipidemia mice via ferrop-tosis.Four potential biomarkers are selected for myocardial injury diagnosis,providing a new direction for sudden cardiac death(SCD)caused by hyperlipidemia combined with the restraint stress.

Objective:To investigate the mechanism of downregulated programmed cell death 10 ( PDCD10) expression mediating glioblastoma multiforme (GBM) resistance to temozolomide (TMZ). Methods:U87, LN229 and T98g cell lines were transfected with PDCD10 small interfering RNA or negative small interfering RNA. TMZ-resistant cell lines were constructed using 300 μmol/L TMZ (transfected T98g cell line) and 150 μmol/L TMZ (transfected U87 and LN229 cell lines), respectively: TMZ-resistant U87 cell line transfected with PDCD10 small interfering RNA (shPDCD10-U87-RG cells), TMZ-resistant U87 cell line transfected with negative small interfering RNA (EV-U87-RG cells), shPDCD10-T98g-RG cells, EV-T98g-RG cells, shPDCD10-LN229-RG cells and EV-LN229-RG cells. Flow cytometry and real-time quantitative polymerase chain reaction (qRT-PCR) were used to detect the transfection efficiency of TMZ-resistant cell lines and PDCD10 expressions; MTT assay and colony formation assay were used to verify the drug-resistant ability of TMZ-resistant cell lines. Bioinformatics analysis was performed to detect the correlations of PDCD10 with key genes ( MSH6 and PMS2) in mismatch repair (MMR) system, and drug resistant mechanism was explored by detecting the cell cycle and neurosphere formation ability of drug-resistant cells. Results:(1) qRT-PCR showed that compared with that in EV-U87-RG cells, the PDCD10 expression in shPDCD10-U87-RG cells was statistically down-regulated by (32.85±1.14)% ( t=2.925, P=0.049); compared with that in EV-T98g-RG cells, the PDCD10 expression in shPDCD10-T98g-RG cells was significantly down-regulated by (57.17±1.81)% ( t=3.179, P=0.043); compared with that in EV-LN229-RG cells, the PDCD10 expression in shPDCD10-LN229-RG cells was significantly down-regulated by (33.68±1.34)% ( t=3.085, P=0.045). (2) MTT assay showed that compared with the EV-U87-RG cells, the shPDCD10-U87-RG cells had significantly increased viability ( P<0.05); compared with the EV-T98g-RG cells, the shPDCD10-T98g-RG cells had significantly increased viability ( P<0.05). Among the same kind of cells, the viability 3 d after wash-out was significantly increased compared with that at 72 h after TMZ treatment ( P<0.05). Colony formation assay showed that cell lines with down-regulated PDCD10 expression had higher tumorigenic ability. (3) Compared with EV-U87-RG cells and EV-T98g-RG cells, cells with down-regulated PDCD10 expression (shPDCD10-U87-RG cells and shPDCD10-T98g-RG cells) escaped from TMZ-induced G2/M arrest, resulting in TMZ resistance. (4) Bioinformatics analysis revealed that the PDCD10 expression was positively correlated with MSH6 and PMS2 expressions ( r=0.262, P<0.001; r=0.327, P<0.001); qRT-PCR indicated that downregulated PDCD10 expression caused decreased MSH6 and PMS2 expressions, which disrupted the MMR system. (5) Compared with that by EV-U87 cells, number of neurospheres formed by shPDCD10-U87 cells was significantly increased ( P<0.05); compared with that by EV-U87-RG cells, number of neurospheres formed by shPDCD10-U87-RG cells was significantly increased ( P<0.05). Conclusion:PDCD10 affects the therapeutic sensitivity of GBM to TMZ by arresting cell cycle, disrupting MMR system, and increasing cell stemness.

Objective To investigate the effect and its mechanism of ziyuglycoside Ⅱ on proliferation, migration, invasion and apoptosis of colon cancer cells HT-29. Methods The effect of ziyuglycoside Ⅱ on cell proliferation of colon cancer cells HT-29 was determined by CCK-8 method; the effect of ziyuglycoside Ⅱ on cell migrative capacity of colon cancer cells HT-29 was determined by scratch assay; the effect of ziyuglycoside Ⅱ on cell invasive capacity of colon cancer cells HT-29 was determined by transwell assay; the effects of ziyuglycoside Ⅱ on cell apoptosis of colon cancer cells HT-29 was determined by flow cytometry; the effects of ziyuglycoside Ⅱ on mRNA and protein expression of protein kinase B (AKT)/phosphatidylinositol-3-kinase (PI3K) signal pathway were determined by real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR) and western-blot, respectively. Results Ziyuglycoside Ⅱ (0, 1, 5, 10, 20, 40, 60 and 80 μmol/mL) inhibited proliferation of colon cancer cells HT-29 in a dose-dependent manner. Ziyuglycoside Ⅱ (5, 10 and 20 μmol/mL) inhibited migration of colon cancer cells HT-29 in a dose-dependent manner. Ziyuglycoside Ⅱ (5, 10 and 20 μmol/mL) inhibited invasion of colon cancer cells HT-29 in a dose-dependent manner. Ziyuglycoside Ⅱ (5, 10 and 20 μmol/mL) promoted apoptosis of colon cancer cells HT-29 in a dose-dependent manner. Ziyuglycoside Ⅱ (5, 10 and 20 μmol/mL) increased mRNA expression of AKT and PI3K, decreased mRNA expression of Caspase-3 and Caspase-9. Ziyuglycoside Ⅱ (5, 10 and 20 μmol/mL) increased protein expression of phosphorylated protein kinase B(p-AKT) and phosphorylphosphatidylinositol-3-kinase (p-PI3K), increased the expression of Cleaved-Caspase-3 and Cleaved-Caspase-9 protein. Conclusion Ziyuglycoside Ⅱ can inhibit proliferation, migration and invasion of colon cancer cells HT-29, and promote the apoptosis of colon cancer cells HT-29. Its mechanism may be related to regulating the signal pathway of AKT/PI3K via promoting phosphorylation of AKT and PI3K protein, activation of Caspase-3 and Caspase-9 protein.