Abstract Alzheimer′s disease(AD) is a common neurodegenerative disease. It has been found that AD is related to various pathogenic factors such as genetics, cardiovascular and cerebrovascular disease, and excessive phosphorylation of tau protein. However, no definitive conclusions on its pathogenesis have been reached. In this paper, the research progress on the pathogenesis of AD inC.elegansmodel and the therapeutic effects of traditional Chinese medicine extracts on AD are reviewed, providing a basis for further research on the alleviating effects of Chinese medicine extracts on AD.

Cancer is characterized by abnormal cell proliferation. Cyclins and cyclin-dependent kinases (CDKs) have been recognized as essential regulators of the intricate cell cycle, orchestrating DNA replication and transcription, RNA splicing, and protein synthesis. Dysregulation of the CDK pathway is prevalent in the development and progression of human cancers, rendering cyclins and CDKs attractive therapeutic targets. Several CDK4/6 inhibitors have demonstrated promising anti-cancer efficacy and have been successfully translated into clinical use, fueling the development of CDK-targeted therapies. With this enthusiasm for finding novel CDK-targeting anti-cancer agents, there have also been exciting advances in the field of targeted protein degradation through innovative strategies, such as using proteolysis-targeting chimera, heat shock protein 90 (HSP90)‍-mediated targeting chimera, hydrophobic tag-based protein degradation, and molecular glue. With a focus on the translational potential of cyclin- and CDK-targeting strategies in cancer, this review presents the fundamental roles of cyclins and CDKs in cancer. Furthermore, it summarizes current strategies for the proteasome-dependent targeted degradation of cyclins and CDKs, detailing the underlying mechanisms of action for each approach. A comprehensive overview of the structure and activity of existing CDK degraders is also provided. By examining the structure‍‒‍activity relationships, target profiles, and biological effects of reported cyclin/CDK degraders, this review provides a valuable reference for both CDK pathway-targeted biomedical research and cancer therapeutics.
Humans ; Neoplasms/metabolism* ; Cyclin-Dependent Kinases/antagonists & inhibitors* ; Cyclins/metabolism* ; Proteolysis ; Antineoplastic Agents/pharmacology* ; Molecular Targeted Therapy ; Proteasome Endopeptidase Complex/metabolism* ; Animals

Objective:To assess the application value of one-hour post-load glucose (1hPG) for detecting prediabetes among individuals with high risk of type 2 diabetes mellitus (T2DM).Methods:The study was conducted between August 2023 and January 2024, and individuals with a high risk of T2DM were invited to receive an oral glucose tolerance test (OGTT), structural questionnaires, physical measurements, and other biochemical examinations. The fasting, one-, and two-hour glucose and insulin were tested. According to the 1hPG cut point on hyperglycemia suggested by International Diabetes Federation (IDF), normal glucose tolerance (NGT) and prediabetes were further divided into two subgroups, respectively, i.e., NGT with 1hPG<8.6 mmol/L (NGT-1hPG-normal), NGT with 1hPG≥8.6 mmol/L (NGT-1hPG-high), prediabetes with 1hPG<8.6 mmol/L (PDM-1hPG-normal), and prediabetes with 1hPG≥8.6 mmol/L (PDM-1hPG-high). The insulin release curve was drawn by the groups as above. Insulin resistance was evaluated by homeostasis model assessment for insulin resistance (HOMA-IR), and β-cell secretory function was evaluated by homeostasis model assessment for β cell function (HOMA-β)/HOMA-IR. Spearman rank correlation analysis was used to calculate the correlation coefficients among 1hPG, 2hPG and HOMA indices, and Steiger′s Z test was used to compare the difference between two correlation coefficients. Receiver operating characteristics (ROC) curves and area under the curve (AUC) were used to assess the accuracy of 1hPG for detecting prediabetes. Results:A total of 2 469 subjects consisting of 1 485 men (60.1%) and 984 (39.9%) women, with a mean age of (45.76±6.20) years, of which 1 844 (74.7%) had 1hPG≥8.6 mmol/L. The prevalence of 1hPG≥8.6 mmol/L was 46.8%, 93.0% and 99.8% in individuals with NGT, prediabetes and newly diagnosed T2DM, respectively ( χ 2=763.78, P<0.001). The insulin release curve showed that insulin secretion increased rapidly in subjects with NGT-1hPG-high, and peaked at one hour, then decreased rapidly, with a significantly higher level of one- and two-hour insulin than those with NGT-1hPG-normal ( P<0.001). Compared to individuals with NGT-1hPG-normal, the counterparts with NGT-1hPG-high exhibited higher HOMA-IR and lower adjusted HOMA-β ( P<0.001). Spearman rank correlation analysis showed that the correlation coefficient of 1hPG with HOMA-IR was similar to the correlation coefficient of 2hPG with HOMA-IR (0.493 vs. 0.480, P=0.550), while the correlation of 1hPG with adjusted HOMA-β was significantly stronger than that of 2hPG (-0.692 vs. -0.587, P<0.001). Excluding patients with T2DM, according to the cut point recommended by IDF, the AUC of 1hPG≥8.6 mmol/L for detecting prediabetes was 0.731 (95% CI: 0.714-0.748), and the sensitivity and specificity were 0.930 and 0.532, respectively, with the kappa value of 0.45. Conclusion:1hPG is closely related to insulin resistance and islet function, and there′s substantial value for individuals with a high risk of T2DM to detect prediabetes by using the 1hPG cut points recommended by IDF.

Objective:To investigate the distribution of CGG repeat numbers in the FMR1 gene among reproductive-age women in China, providing data reference for carrier screening and genetic counseling of Fragile X syndrome. Methods:This cross-sectional study recruited 16 610 reproductive-age women from 12 medical institutions between July 2022 and October 2023. Peripheral venous blood samples (3 mL) were collected, and genomic DNA was extracted. The number of CGG repeats in the FMR1 gene was determined using the triplet-primed polymerase chain reaction (TP-PCR) combined with capillary electrophoresis technology. Statistical analyses were performed to assess the prevalence and distribution of CGG repeat expansions. Results:Among 16 610 women of childbearing age, 5 684 (34.220%) women had the same number of CGG repeats in the two alleles of FMR1 gene, and 10 926 (65.780%) women had different numbers of repeats in the two alleles. Among the 33 220 FMR1 alleles in 16 610 women of reproductive age, the most common CGG repeat numbers were 29 [48.645% (16 160/33 220)] and 30 [26.276% (8 729/33 220)], while the most frequent CGG genotype was CGG 29/29 [24.726% (4 107/16 610)]. The CGG repeat numbers of FMR1 gene were normal in 16 498 women (99.326%). Among the 112 women (0.674%) with CGG repeat abnormities, 96 (0.578%) women were classified as intermediate carriers, 15 (0.090%) as premutation carriers, and 1 (0.006%) as a full mutation carrier, whose CGG genotype was (36, >200). Conclusion:In the general reproductive-age female population in China, the normal CGG repeat numbers of the FMR1 gene account for 99.326%, while the intermediate carrier rate is 0.578%, and the combined carrier rate of the premutation and full mutation types is 0.096%.

Objective:To investigate the distribution of CGG repeat numbers in the FMR1 gene among reproductive-age women in China, providing data reference for carrier screening and genetic counseling of Fragile X syndrome. Methods:This cross-sectional study recruited 16 610 reproductive-age women from 12 medical institutions between July 2022 and October 2023. Peripheral venous blood samples (3 mL) were collected, and genomic DNA was extracted. The number of CGG repeats in the FMR1 gene was determined using the triplet-primed polymerase chain reaction (TP-PCR) combined with capillary electrophoresis technology. Statistical analyses were performed to assess the prevalence and distribution of CGG repeat expansions. Results:Among 16 610 women of childbearing age, 5 684 (34.220%) women had the same number of CGG repeats in the two alleles of FMR1 gene, and 10 926 (65.780%) women had different numbers of repeats in the two alleles. Among the 33 220 FMR1 alleles in 16 610 women of reproductive age, the most common CGG repeat numbers were 29 [48.645% (16 160/33 220)] and 30 [26.276% (8 729/33 220)], while the most frequent CGG genotype was CGG 29/29 [24.726% (4 107/16 610)]. The CGG repeat numbers of FMR1 gene were normal in 16 498 women (99.326%). Among the 112 women (0.674%) with CGG repeat abnormities, 96 (0.578%) women were classified as intermediate carriers, 15 (0.090%) as premutation carriers, and 1 (0.006%) as a full mutation carrier, whose CGG genotype was (36, >200). Conclusion:In the general reproductive-age female population in China, the normal CGG repeat numbers of the FMR1 gene account for 99.326%, while the intermediate carrier rate is 0.578%, and the combined carrier rate of the premutation and full mutation types is 0.096%.

Objective:To construct a curriculum system for malignant fungating wounds based on Kolb experience learning theory.Methods:The first draft of a curriculum system for malignant fungating wounds was constructed based on literature search and group discussion using Kolb experience learning theory as a guide. Between February and May 2024, purposive sampling was used to select 16 experts for two rounds of expert consultation based on the Delphi method to form the final draft of the curriculum system for malignant fungating wounds.Results:A total of 16 questionnaires were distributed in both rounds of expert consultation and 16 questionnaires were effectively recovered with an effective recovery rate of 100.00%. The expert authority coefficients in two rounds of consultation were all 0.916, and Kendall's W values ranged from 0.089 to 0.192 (all P<0.05). The final curriculum system for malignant fungating wounds included four primary indicators, 10 secondary indicators, and 32 tertiary indicators. Conclusions:The curriculum system for malignant fungating wounds constructed under the guidance of Kolb experience learning theory is scientific and practical, and can provide a basis for conducting malignant fungating wound training.

Objective:To assess the application value of one-hour post-load glucose (1hPG) for detecting prediabetes among individuals with high risk of type 2 diabetes mellitus (T2DM).Methods:The study was conducted between August 2023 and January 2024, and individuals with a high risk of T2DM were invited to receive an oral glucose tolerance test (OGTT), structural questionnaires, physical measurements, and other biochemical examinations. The fasting, one-, and two-hour glucose and insulin were tested. According to the 1hPG cut point on hyperglycemia suggested by International Diabetes Federation (IDF), normal glucose tolerance (NGT) and prediabetes were further divided into two subgroups, respectively, i.e., NGT with 1hPG<8.6 mmol/L (NGT-1hPG-normal), NGT with 1hPG≥8.6 mmol/L (NGT-1hPG-high), prediabetes with 1hPG<8.6 mmol/L (PDM-1hPG-normal), and prediabetes with 1hPG≥8.6 mmol/L (PDM-1hPG-high). The insulin release curve was drawn by the groups as above. Insulin resistance was evaluated by homeostasis model assessment for insulin resistance (HOMA-IR), and β-cell secretory function was evaluated by homeostasis model assessment for β cell function (HOMA-β)/HOMA-IR. Spearman rank correlation analysis was used to calculate the correlation coefficients among 1hPG, 2hPG and HOMA indices, and Steiger′s Z test was used to compare the difference between two correlation coefficients. Receiver operating characteristics (ROC) curves and area under the curve (AUC) were used to assess the accuracy of 1hPG for detecting prediabetes. Results:A total of 2 469 subjects consisting of 1 485 men (60.1%) and 984 (39.9%) women, with a mean age of (45.76±6.20) years, of which 1 844 (74.7%) had 1hPG≥8.6 mmol/L. The prevalence of 1hPG≥8.6 mmol/L was 46.8%, 93.0% and 99.8% in individuals with NGT, prediabetes and newly diagnosed T2DM, respectively ( χ 2=763.78, P<0.001). The insulin release curve showed that insulin secretion increased rapidly in subjects with NGT-1hPG-high, and peaked at one hour, then decreased rapidly, with a significantly higher level of one- and two-hour insulin than those with NGT-1hPG-normal ( P<0.001). Compared to individuals with NGT-1hPG-normal, the counterparts with NGT-1hPG-high exhibited higher HOMA-IR and lower adjusted HOMA-β ( P<0.001). Spearman rank correlation analysis showed that the correlation coefficient of 1hPG with HOMA-IR was similar to the correlation coefficient of 2hPG with HOMA-IR (0.493 vs. 0.480, P=0.550), while the correlation of 1hPG with adjusted HOMA-β was significantly stronger than that of 2hPG (-0.692 vs. -0.587, P<0.001). Excluding patients with T2DM, according to the cut point recommended by IDF, the AUC of 1hPG≥8.6 mmol/L for detecting prediabetes was 0.731 (95% CI: 0.714-0.748), and the sensitivity and specificity were 0.930 and 0.532, respectively, with the kappa value of 0.45. Conclusion:1hPG is closely related to insulin resistance and islet function, and there′s substantial value for individuals with a high risk of T2DM to detect prediabetes by using the 1hPG cut points recommended by IDF.

Objective:To construct a curriculum system for malignant fungating wounds based on Kolb experience learning theory.Methods:The first draft of a curriculum system for malignant fungating wounds was constructed based on literature search and group discussion using Kolb experience learning theory as a guide. Between February and May 2024, purposive sampling was used to select 16 experts for two rounds of expert consultation based on the Delphi method to form the final draft of the curriculum system for malignant fungating wounds.Results:A total of 16 questionnaires were distributed in both rounds of expert consultation and 16 questionnaires were effectively recovered with an effective recovery rate of 100.00%. The expert authority coefficients in two rounds of consultation were all 0.916, and Kendall's W values ranged from 0.089 to 0.192 (all P<0.05). The final curriculum system for malignant fungating wounds included four primary indicators, 10 secondary indicators, and 32 tertiary indicators. Conclusions:The curriculum system for malignant fungating wounds constructed under the guidance of Kolb experience learning theory is scientific and practical, and can provide a basis for conducting malignant fungating wound training.

Objective To investigate the causal association of liver function and lipid metabolism levels with sleep disorders based on the Mendelian randomization analysis.Methods The analysis was conducted using the data from genome-wide association studies,with the exposure factors of liver function and lipid metabolism levels(alanine aminotransferase[ALT],aspartate aminotransferase[AST],gamma-glutamyl transpeptidase[GGT],albumin[Alb],serum total protein[TP],total bilirubin[TBil],alkaline phosphatase[ALP],triglyceride[TG],triglyceride-to-glycerol-3-phosphate[TG/G3P]ratio,total cholesterol[TC],high-density lipoprotein cholesterol[HDL-C],low-density lipoprotein cholesterol[LDL-C],poly-unsaturated fatty acids[PUFA],total fatty acids[TFA],PUFA/TFA ratio)and the outcome factor of sleep disorders(nonorganic).The regression models including inverse variance weighted,MR-Egger,Simple mode,weighted median,and Weighted mode were used to perform the Mendelian randomization analysis.Results Serum Alb(odds ratio[OR]=0.728,95%confidence interval[CI]:0.535-0.989,P＜0.05),HDL-C(OR=0.879,95%CI:0.784-0.986,P＜0.05),and PUFA/TFA ratio(OR=0.800,95%CI:0.642-0.998,P＜0.05)were negatively associated with sleep disorders,while TG/G3P ratio(OR=1.222,95%CI:1.044-1.431,P＜0.05)was positively associated with sleep disorders.The results of Mendelian randomization did not show a causal association of ALT,AST,GGT,TP,TBil,ALP,TG,TC,LDL-C,PUFA,and TFA with sleep disorders(all P＞0.05).The results of the MR-Egger intercept test showed no pleiotropy(P＞0.05),and Mendelian randomization was a valid method for causal inference in this study.Conclusion According to the results of the Mendelian randomization analysis,liver function and lipid metabolism show significant association with sleep disorders.Liver function and lipid metabolism can be used as indicators for predicting the risk of sleep disorders and performing intervention.

ObjectiveBased on network pharmacology and transcriptomics， the mechanism of Zishen Qinggan prescription （ZSQGF） in improving glucose and lipid metabolism in type 2 diabetes （T2DM） model rats was explored. MethodBased on network pharmacology analysis of the differential genes between ZSQGF and T2DM， gene ontology（GO）analysis and Kyoto encyclopedia of genes and genomes（KEGG） analysis were conducted， and molecular docking analysis was used to verify the binding between components and targets. A T2DM rat model was established by high-fat feeding and injection of streptozotocin （STZ）. The rats were randomly divided into the control group， model group， metformin （Met， 72 mg·kg^-1） group， and ZSQGF high-， medium-， and low-dose groups （ZSQGF-H， ZSQGF-M， and ZSQGF-L， with 4.8， 2.4， and 1.2 g·kg^-1 raw drug in the solution）. The living status of rats was monitored and the levels of total cholesterol （TC）， total triglycerides （TG）， high density lipoprotein cholesterol （HDL-C）， low-density lipoprotein cholesterol （LDL-C）， aspartate aminotransferase （AST）， and alanine aminotransferase （ALT） in rat serum were detected. The liver tissues were subjected to Hematoxylin eosin（HE） staining and oil red O staining. The differential genes were analyzed through transcriptomics， GO and KEGG analysis， and the protein-protein interaction（PPI） network was obtained to screen key targets. With network pharmacology and transcriptomics analysis results， the protein pathways were identified. The expression levels of nuclear factor-κB （NF-κB）， matrix metalloproteinase（MMP）-1 and MMP-9 proteins in liver tissues were detected by Western blot. The mRNA expression of B-cell lymphoma-2（Bcl-2） modifying factor（BMF）， nicotinamide adenine dinucleotide phosphate （NADPH） oxidase 4 （NOX4）， and fatty acid synthase（FASN） was detected by real-time polymerase chain reaction（Real-time PCR）. The expression of MMP-1 and MMP-9 in the liver was detected by immunofluorescence staining. ResultTranscriptomics and network pharmacology analysis suggested that ZSQGF may protect the liver through the glucose and lipid metabolism pathway and the inflammation pathway. Experiments showed that after 8 weeks of administration， the body weight， blood sugar， serum indicators， and pathological staining results of rats were improved. Western blot results indicated a decrease in the relative expression levels of NF-κB， MMP-1 and MMP-9 proteins in the liver. Real-time PCR results showed a decrease in the transcriptional expression of BMF， NOX4， and FASN in the ZSQGF-H group， while immunofluorescence staining results present decreased expression of MMP-1 and MMP-9 in the ZSQGF groups. ConclusionZSQGF can improve the glucose and lipid metabolism by inhibiting the expression of FASN， reducing lipid synthesis， and regulating the NF-κB signaling pathway.