Objective To analyze the risk factors for increased drainage volume after open transforaminal lumbar interbody fusion(TLIF),and to establish a predictive model and then validate it.Methods The clinical data of 680 patients who underwent open TLIF at the General Hospital of Northern Theater Command from January 2016 to December 2019 were collected and the patients were randomly divided into the training group(n=476)and the validation group(n=204).Taking the predictive factors screened out by LASSO regression analysis as independent variables,a multivariate Logistic regression predictive model was constructed.The model was internally validated through the receiver operating characteristic(ROC)curve,Hosmer-Lemeshow goodness-of-fit test,and calibration curve,and its clinical utility was assessed via decision curve analysis(DCA).Results LASSO regression analysis screened out four predictive variables:age,number of surgical segments,operative duration,and intraoperative blood loss.The multivariate Logistic regression predictive model demonstrated that age≥60 years,number of surgical segments≥4,operative duration≥2 hours,and intraoperative blood loss≥200 mL were independent influencing factors for the increased postoperative drainage volume in patients undergoing TLIF(P<0.05).ROC curve analysis revealed an area under the curve(AUC)of 0.816(95%CI:0.798 to 0.867)in the training group and 0.783(95%CI:0.685 to 0.823)in the validation group,indicating that the predictive model had good discriminatory ability.Additionally,the Hosmer-Lemeshow goodness-of-fit test and calibration curve indicated that the predictive model had a good degree of fit,and the predicted probability was basically consistent with the actual probability,demonstrating a good calibration.The DCA results confirmed that this predictive model could be applied in clinical practice.Conclusion The risk factors for increased drainage volume after open TLIF include age,number of surgical segments,operative duration,and intraoperative blood loss.The predictive model established based on these factors demonstrates good performance,and it can be applied in clinical guidance for the selection of drainage tube removal time after TLIF.

Objective To analyze the risk factors for increased drainage volume after open transforaminal lumbar interbody fusion(TLIF),and to establish a predictive model and then validate it.Methods The clinical data of 680 patients who underwent open TLIF at the General Hospital of Northern Theater Command from January 2016 to December 2019 were collected and the patients were randomly divided into the training group(n=476)and the validation group(n=204).Taking the predictive factors screened out by LASSO regression analysis as independent variables,a multivariate Logistic regression predictive model was constructed.The model was internally validated through the receiver operating characteristic(ROC)curve,Hosmer-Lemeshow goodness-of-fit test,and calibration curve,and its clinical utility was assessed via decision curve analysis(DCA).Results LASSO regression analysis screened out four predictive variables:age,number of surgical segments,operative duration,and intraoperative blood loss.The multivariate Logistic regression predictive model demonstrated that age≥60 years,number of surgical segments≥4,operative duration≥2 hours,and intraoperative blood loss≥200 mL were independent influencing factors for the increased postoperative drainage volume in patients undergoing TLIF(P<0.05).ROC curve analysis revealed an area under the curve(AUC)of 0.816(95%CI:0.798 to 0.867)in the training group and 0.783(95%CI:0.685 to 0.823)in the validation group,indicating that the predictive model had good discriminatory ability.Additionally,the Hosmer-Lemeshow goodness-of-fit test and calibration curve indicated that the predictive model had a good degree of fit,and the predicted probability was basically consistent with the actual probability,demonstrating a good calibration.The DCA results confirmed that this predictive model could be applied in clinical practice.Conclusion The risk factors for increased drainage volume after open TLIF include age,number of surgical segments,operative duration,and intraoperative blood loss.The predictive model established based on these factors demonstrates good performance,and it can be applied in clinical guidance for the selection of drainage tube removal time after TLIF.

Natural products are important sources for the discovery of anti-tumor drugs. Evodiamine is the main alkaloid component of the traditional Chinese herb Wu-Chu-Yu, and it has weak antitumor activity. In recent years, a number of highly active antitumor candidates have been discovered with a significant progress. This article reviews the research progress of evodiamine-based antitumor drug design strategies, in order to provide reference for the development of new drugs with natural products as leads.

Objective: To compare the effectiveness of qualitative and quantitative fecal immunochemical tests (FIT) in identifying colorectal cancer, so as to provide insights into perfecting screening strategies for colorectal cancer. Methods: Participants in the Colorectal Cancer Screening Program for Key Populations in Zhejiang Province from May 2020 to December 2021 were recruited, and their demographic information, lifestyle and disease history were collected through a questionnaire survey. Qualitative or quantitative FIT along with a questionnaire-based risk assessment were employed as the initial screening tests. Individuals who were positive in any FIT or had high-risk assessment results were required to attend a subsequent colonoscopy examination. The positive rate, detection rate of colorectal cancer, positive predictive value and number of colonoscopies required were compared between qualitative and quantitative FITs, and stratified analyses by gender and age were conducted. Results: Totally 4 099 769 participants were included. The qualitative FIT group included 3 574 917 individuals, yielding a positive rate of 11.35%, a detection rate of 1.19%, a positive predictive value of 0.48% and 83.84 colonoscopies required to detect one cancer case. The quantitative FIT group involved 524 852 individuals, yielding a positive rate of 6.70%, a detection rate of 2.31%, a positive predictive value of 1.01% and 43.23 colonoscopies required to detect one cancer case. The quantitative FIT group showed significantly higher detection rate of colorectal cancer, higher positive predictive value and less number of colonoscopies required compared to the qualitative FIT group (all P<0.05). The same results were obtained after stratification by gender and age. Conclusion Compared to qualitative FIT, quantitative FIT improves the detection of colorectal cancer and reduces the workload of colonoscopy examinations, making it more suitable for colorectal cancer screening in large-scale populations.

Parkinson's disease (PD) is a multifaceted disease in which environmental variables combined with genetic predisposition cause dopaminergic (DAergic) neuron loss in the substantia nigra pars compacta. The mutation of leucine-rich repeat kinase 2 (Lrrk2) is the most common autosomal dominant mutation in PD, and it has also been reported in sporadic cases. A growing body of research suggests that circadian rhythm disruption, particularly sleep-wake abnormality, is common during the early phase of PD. Our present study aimed to evaluate the impact of sleep deprivation (SD) on motor ability, sleep performance, and PD pathologies in Lrrk2^G2019S transgenic mice. After two months of SD, Lrrk2^G2019S mice at 12 months of age showed an exacerbated PD-like phenotype with motor deficits, a reduced striatal DA level, degenerated DAergic neurons, and altered sleep structure and biological rhythm accompanied by the decreased protein expression level of circadian locomotor output cycles kaput Lrrk2 gene in the brain. All these changes persisted and were even more evident in 18-month-old mice after 6 months of follow-up. Moreover, a significant increase in α-synuclein aggregation was found in SD-treated transgenic mice at 18 months of age. Taken together, our findings indicate that sleep abnormalities, as a risk factor, may contribute to the pathogenesis and progression of PD. Early detection of sleep disorders and improvement of sleep quality may help to delay disease progression and provide long-term clinical benefits.
Animals ; Electroencephalography ; Leucine/genetics* ; Leucine-Rich Repeat Serine-Threonine Protein Kinase-2/genetics* ; Mice ; Mice, Transgenic ; Mutation ; Parkinson Disease/metabolism* ; Sleep Deprivation/complications* ; alpha-Synuclein/genetics*

Hyperbaric oxygen therapy is a method of breathing pure oxygen or high-concentration oxygen in a highpressure environment to treat hypoxic diseases and related diseases. According to clinical verification, this therapy has an irreplaceable effect on certain diseases and has gradually become a comprehensive clinical treatment. One of the main methods of certain diseases is widely recognized by the medical field at home and abroad. The development history, treatment principles, key technologies, and future development trends of hyperbaric oxygen are discussed in detail, provide a research direction for the development of hyperbaric oxygen therapy in the future, and at the same time, it has also improved physicians' awareness of hyperbaric oxygen therapy, so as to improving Industry influence.
Hyperbaric Oxygenation ; Oxygen/therapeutic use* ; Research Design

Alzheimer's disease (AD) is the most prevalent neurodegenerative disease featuring progressive cognitive impairment. Although the etiology of late-onset AD remains unclear, the close association of AD with apolipoprotein E (APOE), a gene that mainly regulates lipid metabolism, has been firmly established and may shed light on the exploration of AD pathogenesis and therapy. However, various confounding factors interfere with the APOE-related AD risk, raising questions about our comprehension of the clinical findings concerning APOE. In this review, we summarize the most debated factors interacting with the APOE genotype and AD pathogenesis, depict the extent to which these factors relate to APOE-dependent AD risk, and discuss the possible underlying mechanisms.
Alzheimer Disease/pathology* ; Apolipoprotein E4/genetics* ; Apolipoproteins E/genetics* ; Genotype ; Humans ; Lipid Metabolism ; Neurodegenerative Diseases ; Risk Factors

Alzheimer Disease/diagnosis* ; Biomarkers ; Electroencephalography ; Humans ; Sleep

Objective To investigate the effects of CTNND2 knockout on cerebellar neuronal development and motor function in mice, as well as its possible mechanisms. Methods The mice were divided into two groups (n = 10 in each group), all of them were 7 weeks old : wild-type (WT) C57BL/6J mice were treated as control group, and homozygous of CTNND2 knockout (CTNND2 7) mice were treated as experimental group, the genotype of CTNND2 7 mice were detected with PCR. The motor function of two groups were detected by beam walking test, hanging wire test and gait analysis test. The changes of cerebellar Purkinje cells were detected by immunofluorescence staining and Golgi staining. Western blotting was performed to detect the expression levels of synapse-associated proteins phosphorylated synapsin 1 (p-Synl), synapsin 1 (Synl), ELKS and postsynaptic density protein 95(PSD95), as well as phosphoinositide 3-kinase (PI3K), phosphorylated protein kinase B (p-Akt), protein kinase B (Akt), phosphorylated mammalian target of rapamycin (p-mTOR) and mammalian target of rapamycin (mTOR). Results Compared with the WT mice, except the increase in time to traverse the beam, there was a decrease in the proportion of pass on the beam, or latency to fall from the hanging wire, or score of hanging wire, or fore-stride length and hind-stride length of CTNND2 7 mice. There was also a decrease in numbers of Purkinje cells and its dendritic arborization in cerebellum of CTNND2 7 mice. The ratio of p-Synl/ Synl, p-Akt/Akt and p-mTOR/mTOR, as well as the expression levels of ELKS, PSD95 and PI3K were lower than those of WT mice. Conclusion CTNND2 knockout can affect the number and dendritic architecture of Purkinje cells, as well as synthesis of synapse-associated proteins in cerebellum by down-regulating PI3K/Akt/mT0R signaling pathway, resulting in cerebellar developmental disorder, thereby affecting motor function of mice.