BACKGROUND:Spondylolisthesis is a common disease,and there is a lack of effective drugs to treat it.There is still a need to further define the pathogenesis and screen out more suitable therapeutic targets for spondylolisthesis.Mendelian randomization analysis can be used to explore the drugable genes associated with spondylolisthesis and provide valuable guidance for the development of more effective and targeted therapeutic drugs.OBJECTIVE:To explore potential therapeutic targets and effective drugs for spondylolisthesis by means of pharmaceutically available genome-wide Mendelian randomization analysis.METHODS:Using the Finnish database,eQTLGen consortium,drug signature database,drug-gene interaction database,protein-protein interaction database,organic small molecule biological activity database and protein structure database,which contains genome and health information of half a million Finns,data on druggable genes were subjected to two-sample Mendelian randomization analysis and co-localization analysis with data from genome-wide association studies of spondylolisthesis to identify genes highly associated with spondylolisthesis.In addition,GO and KEGG enrichment analysis,protein network construction,drug prediction and molecular docking were performed to provide valuable guidance for the development of more effective and targeted therapeutic agents.RESULTS AND CONCLUSION:In this study,we identified 34 potential drug target genes that were significantly associated with spondylolisthesis,particularly the gene APOBEC3G.This gene showed a significant association with spondylolisthesis outcomes through Mendelian analysis and co-localization analysis,suggesting that APOBEC3G may be a priority therapeutic target.As for other potential mechanisms and drugs,we still need to conduct more in-depth research to determine their roles.This study used a database from a European population,which can be used as a reference for the study of population genetics in China.

BACKGROUND:Spondylolisthesis is a common disease,and there is a lack of effective drugs to treat it.There is still a need to further define the pathogenesis and screen out more suitable therapeutic targets for spondylolisthesis.Mendelian randomization analysis can be used to explore the drugable genes associated with spondylolisthesis and provide valuable guidance for the development of more effective and targeted therapeutic drugs.OBJECTIVE:To explore potential therapeutic targets and effective drugs for spondylolisthesis by means of pharmaceutically available genome-wide Mendelian randomization analysis.METHODS:Using the Finnish database,eQTLGen consortium,drug signature database,drug-gene interaction database,protein-protein interaction database,organic small molecule biological activity database and protein structure database,which contains genome and health information of half a million Finns,data on druggable genes were subjected to two-sample Mendelian randomization analysis and co-localization analysis with data from genome-wide association studies of spondylolisthesis to identify genes highly associated with spondylolisthesis.In addition,GO and KEGG enrichment analysis,protein network construction,drug prediction and molecular docking were performed to provide valuable guidance for the development of more effective and targeted therapeutic agents.RESULTS AND CONCLUSION:In this study,we identified 34 potential drug target genes that were significantly associated with spondylolisthesis,particularly the gene APOBEC3G.This gene showed a significant association with spondylolisthesis outcomes through Mendelian analysis and co-localization analysis,suggesting that APOBEC3G may be a priority therapeutic target.As for other potential mechanisms and drugs,we still need to conduct more in-depth research to determine their roles.This study used a database from a European population,which can be used as a reference for the study of population genetics in China.

BACKGROUND:Observational studies have shown that intervertebral disc degeneration affects sedentary and physical activity levels;however,the causal relationship between sedentary and physical activity levels in the Oswestry disability index score and intervertebral disc degeneration is unclear. OBJECTIVE:To explore the causal relationship between sedentary and physical activity levels in the Oswestry disability index score and intervertebral disc degeneration using the Mendelian randomization method. METHODS:Five features associated with behavioral correlations in the Oswestry disability index score,including time spent watching TV,time spent on the computer,and light/moderate/vigorous physical activity,were selected from large-scale population-based genome-wide association studies,and instrumental variables were extracted for each of these behaviorally related features.Mendelian randomization analyses were performed in conjunction with the extraction of intervertebral disc degeneration as an outcome from the Finn Gen latest version 9 database.The results were analyzed using the inverse variance weighted,MR-Egger regression,simple mode,weighted mode,weighted median estimator,and regression model odds ratios(OR)and 95%confidence interval(CI)to assess the causal relationship between sedentary and physical activity levels in the Oswestry disability index scoring and intervertebral disc degeneration.Cochran's Q was used to test for heterogeneity,MR-Egger intercept to test for multiplicity,and leave-one-out to test the sensitivity of single nucleotide polymorphisms to the causal relationship between exposure factors and disc degeneration. RESULTS AND CONCLUSION:The results of the Mendelian randomization analysis using inverse variance weighted method showed a positive causal association between time spent watching TV/on the computer and the risk of intervertebral disc degeneration(OR=1.775,95%CI:1.418-2.221,P<0.001)/(OR=1.384,95%CI:1.041-1.839,P<0.001),an inverse causal association between light physical activity and the risk of intervertebral disc degeneration(OR=1.000,95%CI:0.999-1.000,P=0.020).MR-Egger intercept analysis indicated there was potential horizontal polytropy between light physical activity and intervertebral disc degeneration(P=0.005),while there was no horizontal pleiotropy between time spent watching TV,time spent on the computer and intervertebral disc degeneration(P=0.521,P=0.851).Cochran's Q analysis showed that heterogeneity was observed between time spent watching TV,time spent on the computer and intervertebral disc degeneration(P=3.33×10-11,P=0.001),and no significant heterogeneity was observed between light physical activity and intervertebral disc degeneration(P=0.186).Overall,there is a bidirectional causal relationship between sedentary and physical activity levels in the Oswestry disability index score and intervertebral disc degeneration,i.e.,not only does intervertebral disc degeneration affect sedentary and physical activity levels in the Oswestry disability index score,but sedentary and physical activity levels in the Oswestry disability index score also affect intervertebral disc degeneration.These findings add to the genetic evidence for a positive effect of light physical activity on intervertebral disc degeneration,indicate that moderate/vigorous physical activity shows no significant causal relationship with intervertebral disc degeneration,and expand the evidence base for sedentary behaviors such as prolonged time spent watching TV/on the computer as a risk factor for intervertebral disc degeneration.

Objective: To explore the influencing factors and pathways of suicidal ideation among children and adolescents with severe autism spectrum disorder (ASD), so as to provide references for clarifying the impact intensity and pathways of various factors on suicidal ideation in the population. Methods: A cross sectional study was conducted from June 17, 2024, to January 12, 2025, involving 96 severely affected ASD children and adolescents aged 8-18 years from Tianjin. Participants were assessed using the Puberty Development Scale (PDS), Children s Alexithymia Measure (CAM), Strengths and Difficulties Questionnaire (SDQ), and Positive and Negative Suicide Ideation (PANSI). The random forest Boruta algorithm was employed to screen core variables, and a Bayesian network model was constructed to analyze the influencing factors of suicidal ideation in children and adolescents with severe ASD. Results: Through the screening using the Boruta algorithm, the SDQ scale score, conduct problems, hyperactivity, peer relationship problems and prosocial behavior were identified as the key predictors of suicidal ideation. A Bayesian network model was established with hyperactivity as the central mediating node. The impact of hyperactivity on suicidal ideation exhibited a non linear relationship: compared to the normal state (31.6%, 68.4%), the borderline state of hyperactivity was associated with a higher probability of low risk suicidal ideation (47.1%) and a lower probability of high risk suicidal ideation (52.9%). Suicidal ideation among children and adolescents with severe ASD was closely related to hyperactivity. In the state of hyperactivity, the abnormal peer relationship (95.2%) and the abnormal prosocial behavior (77.0%) were aggravated. Conclusions Suicide ideation among children and adolescents with severe ASD is strongly associated with hyperactivity traits. It is necessary to establish a prevention and control system centered on hyperactivity intervention to reduce this risk.

Objective:To investigate the value of a cross-combination machine learning approach in constructing a PET radiomics score (RadScore) for predicting early treatment response and prognosis in patients with primary gastrointestinal diffuse large B-cell lymphoma (PGI-DLBCL).Methods:This retrospective cohort study was conducted on 108 patients (59 males and 49 females, age (55.6±12.1) years) diagnosed with PGI-DLBCL between November 2016 and December 2021 at Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University ( n=85) and West China Hospital, Sichuan University ( n=23). Patients were divided into a training set ( n=86) and a validation set ( n=22) with the ratio of 8∶2 using stratified random sampling method. Seven machine learning models were employed to generate 49 feature selection-classification candidates, and the optimal candidate was selected to construct the RadScore, with five-fold cross-validation applied to determine the best-performing model. Logistic regression analysis was performed to identify risk factors for early treatment response, and a radiomics nomogram was developed by integrating RadScore with clinical predictors. Survival results between different groups of RadScore was compared by log-rank test. Results:Nineteen predictive features were selected from 111 radiomic features to construct the RadScore. In the training set, lactate dehydrogenase (LDH) (odds ratio ( OR)=3.53, 95% CI: 1.21-10.31, P=0.021), intestinal involvement ( OR=3.04, 95% CI: 1.04-8.88, P=0.042), total lesion glycolysis (TLG; OR=6.73, 95% CI: 2.23-20.29, P<0.001) and RadScore ( OR=15.11, 95% CI: 3.95-57.80, P<0.001) were identified as independent risk factors for predicting early treatment response. The combined model integrating RadScore, LDH, intestinal involvement, and TLG demonstrated good discriminatory ability for early treatment response (AUC=0.860 in the training set; AUC=0.902 in the validation set). Significant differences were observed in progression-free survival (PFS) and overall survival (OS) between different RadScore groups ( χ2 values: 13.92 and 8.56, both P<0.01). Conclusions:The machine learning-based RadScore may effectively predict survival outcomes in patients with PGI-DLBCL. The combined model integrating RadScore, clinical factors, and metabolic indicators can predict early treatment response in PGI-DLBCL patients.

Objective To analyze the distribution of platelet antibodies in hospitalized patients and explore the clinical significance of platelet antibody detection. Methods A total of 95 987 hospitalized patient cases from a tertiary hospital in Xi'an from April 1, 2021 to December 31, 2023 were collected. Platelet antibodies were detected by solid-phase agglutination method. Statistical analysis was performed on variables including gender, age, blood type, department, history of blood transfusion, pregnancy history, and disease type. Results Among 95 987 hospitalized patients, the positive rate of platelet antibody detection reached 4.35%. The positive rate of platelet antibodies in female hospitalized patients (5.29%) was higher than that in male patients (3.31%), and the difference was statistically significant (x²=224.124). The positive rate of platelet antibodies in those with pregnancy history (7.92%) was higher than that in those without pregnancy history (4.19%), and the difference was significant (x²=292.773). Similarly, the positive rate of platelet antibodies in those with transfusion history (7.79%) was higher than that in those without transfusion history (3.97%), and the difference was significant (x²=300.209). There was a significant correlation between the positive rate of platelet antibodies and the number of pregnancies (x²=91.061). Conclusion The positive rate of platelet antibodies in 95 987 inpatient cases was 4.35%. The positive rate of platelet antibodies had a close relationship with a history of blood transfusions and pregnancies, and it increased with the number of pregnancies. For patients with multiple transfusion histories and pregnancy histories, screening for platelet antibodies holds significant diagnostic value.
Humans ; Female ; Male ; Adult ; Middle Aged ; Blood Platelets/immunology* ; Inpatients ; Aged ; Pregnancy ; Young Adult ; Adolescent ; Aged, 80 and over ; Autoantibodies/blood*

AIM:To investigate whether casein kinase 2(CK2)/calmodulin(CaM)/small-conductance Ca2+-activated K+channel type 2(SK2)signaling pathway mediates autophagy-induced sympathoexcitation in the paraventricu-lar nucleus(PVN)of rats with chronic heart failure(CHF).METHODS:We randomly divided 180 Wistar rats,aged 6 to 8 weeks,into 10 groups:sham+dimethyl sulfoxide(DMSO),sham+artificial cerebrospinal(aCSF),CHF+DMSO,CHF+aCSF,CHF+rapamycin(RAPA),CHF+3-methyladenine(3-MA),CHF+5,6-dichlorobenzimidazole riboside(DRB),CHF+calmidazolium chloride(CMDZ),CHF+N-cyclohexyl-N-[2-(3,5-dimethyl-1H-pyrazol-1-yl)-6-methyl-pyrimidin-4-yl]-amine(CyPPA),and CHF+apamin groups.We measured cardiac function,hemodynamic parameters,anatomic indicators,and sympathetic drive indicators(n=18).Western blot was used to examine the protein levels of mi-crotubule-associated protein 1 light chain 3-II(LC3-II)/LC3-I,beclin-1,P62,CK2α,SK2,and phosphorylated CaM.The number of SK2-positive neurons was measured using immunofluorescence staining.The NG108 cells were randomly divided into 6 groups:DMSO,aCSF,RAPA,3-MA,RAPA+DRB,and RAPA+CMDZ groups.Radioisotope 32P-ATP pro-tein kinase activity assays were used to detect CK2 activity in cultured NG108 cells.We used Western blot to examine the protein levels of CK2α,SK2,and phosphorylated CaM.RESULTS:Compared with CHF rats treated with vehicle,CHF rats treated with RAPA or apamin exhibited increased sympathetic drive indicators,but decreased left ventricular ejection fraction and fractional shortening(P<0.01).However,CHF symptoms,including sympathoexcitation,were attenuated by 3-MA,DRB,CMDZ or CyPPA infusion into the PVN(P<0.01).In CHF rats,RAPA infusion into the PVN induced CK2 activity,up-regulated LC3-II/LC3-I,beclin-1,CK2α,and phosphorylated CaM levels,but down-regulated P62 and SK2 expression,as well as the number of SK2-positive neurons(P<0.05 or P<0.01).In CHF rats,infusion of 3-MA or DRB into the PVN decreased CK2 activity,and down-regulated phosphorylated CaM level(P<0.01).Infusion of 3-MA,DRB or CMDZ into the PVN up-regulated SK2 expression and the number of SK2-positive neurons(P<0.01).In cultured NG108 cells,RAPA induced CK2 activation and up-regulated the expression of CK2α and the phosphorylation of CaM,but down-regulated SK2 expression(P<0.01).Treatment with RAPA increased the level of phosphorylated CaM and down-regulated SK2 expression in cultured NG108 cells(P<0.01),which was inhibited by DRB and CMDZ(P<0.05 or P<0.01).CONCLUSION:In rats with CHF,the CK2/CaM/SK2 signaling pathway in the PVN contributes to autophagy-induced sympathoexcitation.

AIM:To investigate whether casein kinase 2(CK2)/calmodulin(CaM)/small-conductance Ca2+-activated K+channel type 2(SK2)signaling pathway mediates autophagy-induced sympathoexcitation in the paraventricu-lar nucleus(PVN)of rats with chronic heart failure(CHF).METHODS:We randomly divided 180 Wistar rats,aged 6 to 8 weeks,into 10 groups:sham+dimethyl sulfoxide(DMSO),sham+artificial cerebrospinal(aCSF),CHF+DMSO,CHF+aCSF,CHF+rapamycin(RAPA),CHF+3-methyladenine(3-MA),CHF+5,6-dichlorobenzimidazole riboside(DRB),CHF+calmidazolium chloride(CMDZ),CHF+N-cyclohexyl-N-[2-(3,5-dimethyl-1H-pyrazol-1-yl)-6-methyl-pyrimidin-4-yl]-amine(CyPPA),and CHF+apamin groups.We measured cardiac function,hemodynamic parameters,anatomic indicators,and sympathetic drive indicators(n=18).Western blot was used to examine the protein levels of mi-crotubule-associated protein 1 light chain 3-II(LC3-II)/LC3-I,beclin-1,P62,CK2α,SK2,and phosphorylated CaM.The number of SK2-positive neurons was measured using immunofluorescence staining.The NG108 cells were randomly divided into 6 groups:DMSO,aCSF,RAPA,3-MA,RAPA+DRB,and RAPA+CMDZ groups.Radioisotope 32P-ATP pro-tein kinase activity assays were used to detect CK2 activity in cultured NG108 cells.We used Western blot to examine the protein levels of CK2α,SK2,and phosphorylated CaM.RESULTS:Compared with CHF rats treated with vehicle,CHF rats treated with RAPA or apamin exhibited increased sympathetic drive indicators,but decreased left ventricular ejection fraction and fractional shortening(P<0.01).However,CHF symptoms,including sympathoexcitation,were attenuated by 3-MA,DRB,CMDZ or CyPPA infusion into the PVN(P<0.01).In CHF rats,RAPA infusion into the PVN induced CK2 activity,up-regulated LC3-II/LC3-I,beclin-1,CK2α,and phosphorylated CaM levels,but down-regulated P62 and SK2 expression,as well as the number of SK2-positive neurons(P<0.05 or P<0.01).In CHF rats,infusion of 3-MA or DRB into the PVN decreased CK2 activity,and down-regulated phosphorylated CaM level(P<0.01).Infusion of 3-MA,DRB or CMDZ into the PVN up-regulated SK2 expression and the number of SK2-positive neurons(P<0.01).In cultured NG108 cells,RAPA induced CK2 activation and up-regulated the expression of CK2α and the phosphorylation of CaM,but down-regulated SK2 expression(P<0.01).Treatment with RAPA increased the level of phosphorylated CaM and down-regulated SK2 expression in cultured NG108 cells(P<0.01),which was inhibited by DRB and CMDZ(P<0.05 or P<0.01).CONCLUSION:In rats with CHF,the CK2/CaM/SK2 signaling pathway in the PVN contributes to autophagy-induced sympathoexcitation.

Objective:To investigate the value of a cross-combination machine learning approach in constructing a PET radiomics score (RadScore) for predicting early treatment response and prognosis in patients with primary gastrointestinal diffuse large B-cell lymphoma (PGI-DLBCL).Methods:This retrospective cohort study was conducted on 108 patients (59 males and 49 females, age (55.6±12.1) years) diagnosed with PGI-DLBCL between November 2016 and December 2021 at Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University ( n=85) and West China Hospital, Sichuan University ( n=23). Patients were divided into a training set ( n=86) and a validation set ( n=22) with the ratio of 8∶2 using stratified random sampling method. Seven machine learning models were employed to generate 49 feature selection-classification candidates, and the optimal candidate was selected to construct the RadScore, with five-fold cross-validation applied to determine the best-performing model. Logistic regression analysis was performed to identify risk factors for early treatment response, and a radiomics nomogram was developed by integrating RadScore with clinical predictors. Survival results between different groups of RadScore was compared by log-rank test. Results:Nineteen predictive features were selected from 111 radiomic features to construct the RadScore. In the training set, lactate dehydrogenase (LDH) (odds ratio ( OR)=3.53, 95% CI: 1.21-10.31, P=0.021), intestinal involvement ( OR=3.04, 95% CI: 1.04-8.88, P=0.042), total lesion glycolysis (TLG; OR=6.73, 95% CI: 2.23-20.29, P<0.001) and RadScore ( OR=15.11, 95% CI: 3.95-57.80, P<0.001) were identified as independent risk factors for predicting early treatment response. The combined model integrating RadScore, LDH, intestinal involvement, and TLG demonstrated good discriminatory ability for early treatment response (AUC=0.860 in the training set; AUC=0.902 in the validation set). Significant differences were observed in progression-free survival (PFS) and overall survival (OS) between different RadScore groups ( χ2 values: 13.92 and 8.56, both P<0.01). Conclusions:The machine learning-based RadScore may effectively predict survival outcomes in patients with PGI-DLBCL. The combined model integrating RadScore, clinical factors, and metabolic indicators can predict early treatment response in PGI-DLBCL patients.

In recent years， the incidence and mortality rates of cancer have been increasing， posing a serious threat to human health. Western medicine mainly uses treatments such as surgical resection， chemotherapy， immunotherapy and targeted therapy， but they are prone to complications， drug resistance and adverse reactions. A growing number of studies have shown that traditional Chinese medicine has obvious advantages in the treatment of cancer， reducing the recurrence rate of cancer and improving the quality of survival of patients. Cellular senescence refers to a state of irreversible cell cycle growth arrest when cells cease to proliferate after a limited number of divisions， resulting in a decline in cell proliferation and differentiation capacities and physiological functions， accompanied by morphological changes such as flattening and multinuclear morphology. At the molecular level， it shows increased expression of DNA damage-related genes， reduced expression of cell cycle-related factors and significant secretory activity. The malignant development of cancer is closely related to cellular senescence. With the increasing number of cancer cell proliferation， cancer-related genes undergo continuous mutations， freeing them from cellular senescence and thus achieving unlimited proliferation. Through recent studies， it has been found that induction of tumor cell senescence， possibly through modulation of cellular DNA damage， cell cycle arrest and senescence-associated secretory phenotype （SASP）， which converts the suppressive immune tumor microenvironment to an activated immune tumor microenvironment and thus reverses the escape of tumor cell senescence， is a promising strategy for cancer therapy. However， the mechanism of cellular senescence in cancer progression is not fully understood， especially the anti-cancer role played by traditional Chinese medicine in regulating cellular senescence. This article summarized and concluded the specific molecular mechanisms of cellular senescence， the role of cellular senescence in cancer progression， and the mechanism of anti-cancer effects of traditional Chinese medicine based on cellular senescence from the perspective of regulating cellular senescence， with a view to providing ideas and methods for the anti-cancer effects of traditional Chinese medicine and the development of new drugs.