Eight compounds were isolated and purified from the ethyl acetate part of 70% acetone extract of Rehmannia glutinosa by various chromatographic techniques such as silica gel, MCI gel CHP-20, ODS, Toyopearl HW-40C, combined with TLC and semi-preparative HPLC. Their structures were elucidated by modern spectroscopy techniques (NMR, MS, UV, IR), and identified as neomartynoside A (1), osmanthuside B₆ (2), martynoside (3), isomartynoside (4), (E)-p-hydroxycinnamic acid (5), caffeic acid (6), ferulic acid (7), and methyl caffeate (8). Compound 1 is a new phenylethanol glycoside, which was identified as neomartynoside A. Compound 2 was isolated from Rehmannia glutinosa for the first time. In addition, compounds 2, 6 and 7 significantly increased relative glucose consumption, showing potential hypoglycemic activity.

BACKGROUND: Postoperative pulmonary complications (PPCs) are major adverse events in neurosurgical patients. This study aimed to develop and validate machine learning models predicting PPCs after neurosurgery. METHODS: PPCs were defined according to the European Perioperative Clinical Outcome standards as occurring within 7 postoperative days. Data of cases meeting inclusion/exclusion criteria were extracted from the anesthesia information management system to create three datasets: The development (data of Huashan Hospital, Fudan University from 2018 to 2020), temporal validation (data of Huashan Hospital, Fudan University in 2021) and external validation (data of other three hospitals in 2023) datasets. Machine learning models of six algorithms were trained using either 35 retrievable and plausible features or the 11 features selected by Lasso regression. Temporal validation was conducted for all models and the 11-feature models were also externally validated. Independent risk factors were identified and feature importance in top models was analyzed. RESULTS: PPCs occurred in 712 of 7533 (9.5%), 258 of 2824 (9.1%), and 207 of 2300 (9.0%) patients in the development, temporal validation and external validation datasets, respectively. During cross-validation training, all models except Bayes demonstrated good discrimination with an area under the receiver operating characteristic curve (AUC) of 0.840. In temporal validation of full-feature models, deep neural network (DNN) performed the best with an AUC of 0.835 (95% confidence interval [CI]: 0.805-0.858) and a Brier score of 0.069, followed by Logistic regression (LR), random forest and XGBoost. The 11-feature models performed comparable to full-feature models with very close but statistically significantly lower AUCs, with the top models of DNN and LR in temporal and external validations. An 11-feature nomogram was drawn based on the LR algorithm and it outperformed the minimally modified Assess respiratory RIsk in Surgical patients in CATalonia (ARISCAT) and Laparoscopic Surgery Video Educational Guidelines (LAS VEGAS) scores with a higher AUC (LR: 0.824, ARISCAT: 0.672, LAS: 0.663). Independent risk factors based on multivariate LR mostly overlapped with Lasso-selected features, but lacked consistency with the important features using the Shapley additive explanation (SHAP) method of the LR model. CONCLUSIONS: The developed models, especially the DNN model and the nomogram, had good discrimination and calibration, and could be used for predicting PPCs in neurosurgical patients. The establishment of machine learning models and the ascertainment of risk factors might assist clinical decision support for improving surgical outcomes. TRIAL REGISTRATION ChiCTR 2100047474; https://www.chictr.org.cn/showproj.html?proj=128279 .
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Algorithms ; Lung Diseases/etiology* ; Machine Learning ; Neurosurgical Procedures/adverse effects* ; Postoperative Complications/diagnosis* ; Risk Factors ; ROC Curve

The neurophysiological mechanisms by which exercise improves cognitive function have not been fully elucidated. A comprehensive and systematic review of current domestic and international neurophysiological evidence on exercise improving cognitive function was conducted from multiple perspectives. At the molecular level, exercise promotes nerve cell regeneration and synaptogenesis and maintains cellular development and homeostasis through the modulation of a variety of neurotrophic factors, receptor activity, neuropeptides, and monoamine neurotransmitters, and by decreasing the levels of inflammatory factors and other modulators of neuroplasticity. At the cellular level, exercise enhances neural activation and control and improves brain structure through nerve regeneration, synaptogenesis, improved glial cell function and angiogenesis. At the structural level of the brain, exercise promotes cognitive function by affecting white and gray matter volumes, neural activation and brain region connectivity, as well as increasing cerebral blood flow. This review elucidates how exercise improves the internal environment at the molecular level, promotes cell regeneration and functional differentiation, and enhances the brain structure and neural efficiency. It provides a comprehensive, multi-dimensional explanation of the neurophysiological mechanisms through which exercise promotes cognitive function.
Animals ; Humans ; Brain/physiology* ; Cognition/physiology* ; Exercise/physiology* ; Nerve Regeneration/physiology* ; Neuronal Plasticity/physiology*

BACKGROUND: Non-invasive computed tomography angiography (CTA)-based fractional flow reserve (CT-FFR) could become a gatekeeper to invasive coronary angiography. Deep learning (DL)-based CT-FFR has shown promise when compared to invasive FFR. To evaluate the performance of a DL-based CT-FFR technique, DeepVessel FFR (DVFFR). METHODS: This retrospective study was designed for iScheMia Assessment based on a Retrospective, single-center Trial of CT-FFR (SMART). Patients suspected of stable coronary artery disease (CAD) and undergoing both CTA and invasive FFR examinations were consecutively selected from the Beijing Anzhen Hospital between January 1, 2016 to December 30, 2018. FFR obtained during invasive coronary angiography was used as the reference standard. DVFFR was calculated blindly using a DL-based CT-FFR approach that utilized the complete tree structure of the coronary arteries. RESULTS: Three hundred and thirty nine patients (60.5 ±10.0 years and 209 men) and 414 vessels with direct invasive FFR were included in the analysis. At per-vessel level, sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of DVFFR were 94.7%, 88.6%, 90.8%, 82.7%, and 96.7%, respectively. The area under the receiver operating characteristics curve (AUC) was 0.95 for DVFFR and 0.56 for CTA-based assessment with a significant difference (P < 0.0001). At patient level, sensitivity, specificity, accuracy, PPV and NPV of DVFFR were 93.8%, 88.0%, 90.3%, 83.0%, and 95.8%, respectively. The computation for DVFFR was fast with the average time of 22.5 ± 1.9 s. CONCLUSIONS The results demonstrate that DVFFR was able to evaluate lesion hemodynamic significance accurately and effectively with improved diagnostic performance over CTA alone. Coronary artery disease (CAD) is a critical disease in which coronary artery luminal narrowing may result in myocardial ischemia. Early and effective assessment of myocardial ischemia is essential for optimal treatment planning so as to improve the quality of life and reduce medical costs.

OBJECTIVE: To investigate the relationship between physical activity and genetic risk and their combined effects on the risk of developing chronic obstructive pulmonary disease. METHODS: This prospective cohort study included 318,085 biobank participants from the UK. Physical activity was assessed using the short form of the International Physical Activity Questionnaire. The participants were stratified into low-, intermediate-, and high-genetic-risk groups based on their polygenic risk scores. Multivariate Cox regression models and multiplicative interaction analyses were used. RESULTS: During a median follow-up period of 13 years, 9,209 participants were diagnosed with chronic obstructive pulmonary disease. For low genetic risk, compared to low physical activity, the hazard ratios ( HRs) for moderate and high physical activity were 0.853 (95% confidence interval [ CI]: 0.748-0.972) and 0.831 (95% CI: 0.727-0.950), respectively. For intermediate genetic risk, the HRs were 0.829 (95% CI: 0.758-0.905) and 0.835 (95% CI: 0.764-0.914), respectively. For participants with high genetic risk, the HRs were 0.809 (95% CI: 0.746-0.877) and 0.818 (95% CI: 0.754-0.888), respectively. A significant interaction was observed between genetic risk and physical activity. CONCLUSION Moderate or high levels of physical activity were associated with a lower risk of developing chronic obstructive pulmonary disease across all genetic risk groups, highlighting the need to tailor activity interventions for genetically susceptible individuals.
Humans ; Pulmonary Disease, Chronic Obstructive/epidemiology* ; Exercise ; Male ; Female ; Middle Aged ; Prospective Studies ; Aged ; Genetic Predisposition to Disease ; Risk Factors ; United Kingdom/epidemiology* ; Incidence ; Adult

Objective: To identify the maximum tolerated dose (MTD) of docetaxel combined with a fixed dose of cisplatin (75 mg/m 2 ) delivered as hyperthermic intraperitoneal chemotherapy (HIPEC) in patients with ovarian cancer. Methods: In this phase I trial, a time-to-event Bayesian optimal interval design was used.Docetaxel was given at a starting dose of 60 mg/m2 and was increased in 5 mg/m2 increments until the MTD was determined or the maximum dose level of 75 mg/m2 was reached. The doselimiting toxicity (DLT) rate was set at 25%, with a total sample size of 30 patients. HIPEC was delivered immediately following debulking surgery at a target temperature of 43°C for 90 minutes. Results: From August 2022 to November 2022, 30 patients were enrolled. Among the patients who received a dose of docetaxel ≤65 mg/m2 , no DLT was reported. DLTs were observed in one patient who received 70 mg/m2 docetaxel (grade 3 anaemia) and in three patients who received 75 mg/m2 docetaxel (one case of grade 3 anaemia, one case of grade 3 hepatic impairment and one case of grade 4 thrombocytopenia). Patients treated with docetaxel 75 mg/m2 in combination with cisplatin 75 mg/m2 had an estimated DLT rate of 25%, which was the closest to the target DLT rate and was therefore chosen as the MTD. Conclusion Docetaxel, in combination with a fixed dose of cisplatin (75 mg/m2), can be used safely at intraperitoneal doses of 75 mg/m2 in ovarian cancer patients who received HIPEC (43°C, 90 minutes) following debulking surgery.

Objective: To identify the maximum tolerated dose (MTD) of docetaxel combined with a fixed dose of cisplatin (75 mg/m 2 ) delivered as hyperthermic intraperitoneal chemotherapy (HIPEC) in patients with ovarian cancer. Methods: In this phase I trial, a time-to-event Bayesian optimal interval design was used.Docetaxel was given at a starting dose of 60 mg/m2 and was increased in 5 mg/m2 increments until the MTD was determined or the maximum dose level of 75 mg/m2 was reached. The doselimiting toxicity (DLT) rate was set at 25%, with a total sample size of 30 patients. HIPEC was delivered immediately following debulking surgery at a target temperature of 43°C for 90 minutes. Results: From August 2022 to November 2022, 30 patients were enrolled. Among the patients who received a dose of docetaxel ≤65 mg/m2 , no DLT was reported. DLTs were observed in one patient who received 70 mg/m2 docetaxel (grade 3 anaemia) and in three patients who received 75 mg/m2 docetaxel (one case of grade 3 anaemia, one case of grade 3 hepatic impairment and one case of grade 4 thrombocytopenia). Patients treated with docetaxel 75 mg/m2 in combination with cisplatin 75 mg/m2 had an estimated DLT rate of 25%, which was the closest to the target DLT rate and was therefore chosen as the MTD. Conclusion Docetaxel, in combination with a fixed dose of cisplatin (75 mg/m2), can be used safely at intraperitoneal doses of 75 mg/m2 in ovarian cancer patients who received HIPEC (43°C, 90 minutes) following debulking surgery.

This study was aimed at exploring the epidemiological characteristics of plague,and the evolutionary relation-ships among the isolated plague strains in the Yunnan border area,to provide clues for further studying epidemic causes and ep-idemiological patterns.Plague epidemic data in the border area during the second epidemic period(1982-2007)were collected and analyzed with descriptive epidemiological methods.Whole genome sequences of 262 strains of Yersinia pestis in the border area were obtained for phylogenetic analysis.Plague outbreaks occurred in 17 counties(cities)among 25 border counties(cit-ies);a total of 552 epidemic foci and 123 human cases were identified.The 1.ORI2,1.ORI3,1.IN3,2.ANT and 2.MED geno-types were identified among Yersinia pestis isolated from the Yunnan border area,among which the 1.ORI2 population was dominant.A total of 258 strains of Yersinia pestis from the 1.OR12 population belonged to four subclusters.The Myanmar and Vietnam clade was embedded within the Yunnan clade in the overall phylogeny.The above results indicated that during the sec-ond period of the epidemic,the intensity of plague epidemics in Yunnan's border areas was high,showing a trend of devel-opment from west to south and east.Our findings indicated a risk of cross-border transmission of plague between Yunnan and neighboring countries;therefore,the surveillance,pre-vention,and control of plague in border areas should be strengthened.

The implementation of amplicon sequencing and metagenomic sequencing methods in the whole-genome sequen-cing for MPXV testing was compared,to provide a technical reference for sequencing,tracing,and epidemic prevention and control of MPXV.For amplicon sequencing,targeted amplification of the viral whole genome was performed on MPXV DNA,and was followed by next-generation sequencing of the amplification products.For metagenomic sequencing,next-generation sequencing was performed directly on MPXV DNA.After the sequences were obtained,software such as CLC and IGV were used to analyze the effective data percentage,sequencing depth,and whole-genome sequencing coverage under different sequen-cing depths for both sequencing methods,to evaluate sequencing quality.Nextclade was used to analyze virus typing,muta-tions,and deletions.Subsequently,the similarity and completeness of sequences obtained through both sequencing methods were further compared.On the basis of mapping to the refer-ence sequence of strain MPXV-M5312_HM12_Rivers(Gen-Bank number NC_063383.1),the percentage effective data obtained from amplicon sequencing and metagenomic sequen-cing was 99.72％and 7.54％,respectively,with a sequencing depth range of 0× to 334 839 ×,and 44 × to 1 000 ×.On the basis of a sequencing depth of 10 ×,the site coverage of the above was 90.3％and 100％,respectively.IGV was used to validate the whole-genome coverage under different sequencing depths.The depth coverage of whole-genome sites for metagenomic sequencing was uniform,whereas that of the whole-genome sites for amplicon sequencing was uneven and significantly differed.Virus typing and sequence similarity analysis indicated that the viral sequences obtained with the two sequencing methods all belonged to the Ⅱb B.1 lineage of MPXV.Comparison with the reference sequence indicated that metagenomic sequencing identified 73 nucleotide mutation sites,whereas amplicon sequen-cing identified 68 mutation sites.Further analysis demonstrated that seven common mutation sites of Ⅱb B.1 were not detected in the amplicon sequencing,and two false positive private mutation sites were identified.Amplicon or metagenomic sequencing methods thus can be flexibly used in MPXV virus whole-genome sequencing.Amplicon sequencing yields more effective data,whereas metagenomic sequencing provides better uniformity of coverage and sequence accuracy.This study provides a prelimi-nary understanding of the efficacy of each method and may serve as a technical reference for improving the success rate of whole-genome sequencing of MPXV.

Objective:To investigate the relationship between clinical indicators of CRAB symptoms and antioxidant enzyme activity in patients with multiple myeloma(MM).Methods:The activity of catalase(CAT),glutathione peroxidase(GPX),and superoxide dismutase(SOD)in the bone marrow supernatants of 44 patients with MM and 12 patients with non-malignant hematological diseases was detected by colorimetric assay,and then the differences in the activity of antioxidant enzymes between the two groups were compared.Furthermore,the relationship between the activity of antioxidant enzymes in the MM group and the levels of serum calcium,serum creatinine(Scr),hemoglobin(Hb),alkaline phosphatase(ALP)as well as bone lesions were analyzed.Results:The antioxidant enzyme activity was lower in MM patients compared with the control group(P＜0.05).When the concentrations of serum calcium and ALP were higher than the normal levels,Hb was lower than 85 g/L,and there were multiple bone lesions,the activity of CAT,SOD and GPX was significantly declined(P＜0.05);When the concentration of Scr≥177 μmol/L,the activity of GPX was significantly declined(P＜0.05).Regression analyses showed that CAT,SOD and GPX were negatively correlated with serum calcium(r=-0.538,r=-0.456,r=-0.431),Scr(r=-0.342,r=-0.384,r=-0.463),and ALP(r=-0.551,r=-0.572,r=-0.482).Conclusion:The activity of antioxidant enzymes,including CAT,SOD and GPX,were decreased in patients with MM and they were negatively correlated with some clinical indicators of CRAB symptoms(such as serum calcium,Scr,and ALP),which suggests that promoting the activity of antioxidant enzymes may be beneficial to treat the CRAB symptoms of the patients with MM.