ObjectiveTo explore the molecular mechanism of aerobic exercise to improve hippocampal neuronal degeneration by regulating tryptophan metabolic pathway. Methods60 SPF-grade C57BL/6J male mice were divided into a young group (2 months old, n=30) and a senile group (12 months old, n=30), and each group was further divided into a control group (C/A group, n=15) and an exercise group (CE/AE group, n=15). An aerobic exercise program was used for 8 weeks. Learning memory ability was assessed by Y-maze, and anxiety-depression-like behavior was detected by absent field experiment. Hippocampal Trp levels were measured by GC-MS. Nissl staining was used to observe the number and morphology of hippocampal neurons, and electron microscopy was used to detect synaptic ultrastructure. ELISA was used to detect the levels of hippocampal Trp,5-HT, Kyn, KATs, KYNA, KMO, and QUIN; Western blot was used to analyze the activities of TPH2, IDO1, and TDO enzymes. ResultsGroup A mice showed significant decrease in learning and memory ability (P<0.05) and increase in anxiety and depressive behaviors (P<0.05); all of AE group showed significant improvement (P<0.05). Hippocampal Trp levels decreased in group A (P<0.05) and increased in AE group (P<0.05). Nidus vesicles were reduced and synaptic structures were degraded in group A (P<0.05), and both were significantly improved in group AE (P<0.05). The levels of Trp, 5-HT, KATs, and KYNA were decreased (P<0.05) and the levels of Kyn, KMO, and QUIN were increased (P<0.05) in group A. The activity of TPH2 was decreased (P<0.05), and the activities of IDO1 and TDO were increased (P<0.05). The AE group showed the opposite trend. ConclusionThe aging process significantly reduces the learning memory ability and increases the anxiety-depression-like behavior of mice, and leads to the reduction of the number of nidus vesicles and degenerative changes of synaptic structure in the hippocampus, whereas aerobic exercise not only effectively enhances the spatial learning memory ability and alleviates the anxiety-depression-like behavior of aging mice, but also improves the morphology and structure of neurons in hippocampal area, which may be achieved by the mechanism of regulating the tryptophan metabolic pathway.

Colorimetric analysis is a detection and quantification method based on observable color changes in response to analytes,which offers significant advantages including visually detectable signals,straightforward operation,rapid response,and low cost.Consequently,it plays a crucial role in a variety of fields.With increasingly diverse and complex application,colorimetric analysis requires continuous improvement in sensitivity,adaptability to diverse detection environments,and complex data handling capabilities.In recent years,the development of artificial intelligence technology,particularly within its core domain of machine learning(ML),has led to significant advancements in colorimetric analysis.The ML-assisted colorimetric analysis enables high-throughput and high-sensitivity detection,alongside automated analysis,thereby providing novel strategies to overcome the inherent limitations.This review categorized machine learning techniques and summarized their application in colorimetric analysis,introducing two fundamental categories of supervised learning,and unsupervised learning based on the division of core learning paradigms.The research progress of ML-assisted colorimetric analysis in the fields of environmental monitoring,biochemical detection,and food safety were summarized.Finally,the current challenges facing by this research area were analyzed and the research prospect of ML-assisted colorimetric analysis was outlined.

Although conventional anti-osteoporotic drugs are effective in the prevention and treatment of osteoporosis(OP),they are also associated with a variety of adverse drug reactions in the course of their efficacy.Terpenoids have favorable therapeutic effects on bone resorption,bone formation,and concomitant inflammation.In this paper,we review a variety of herbal terpenoids commonly used in the treatment of OP,with a view to providing ideas for future clinical treatment and related basic research.

Although conventional anti-osteoporotic drugs are effective in the prevention and treatment of osteoporosis(OP),they are also associated with a variety of adverse drug reactions in the course of their efficacy.Terpenoids have favorable therapeutic effects on bone resorption,bone formation,and concomitant inflammation.In this paper,we review a variety of herbal terpenoids commonly used in the treatment of OP,with a view to providing ideas for future clinical treatment and related basic research.

Humans ; Nasopharyngeal Neoplasms/surgery* ; Consensus ; Nasopharyngeal Carcinoma/surgery* ; Carcinoma

Child ; Consensus ; Drugs, Chinese Herbal ; Humans ; Medicine, Chinese Traditional ; Respiratory System

Objective: To investigate the effects of continuous goal-directed analgesia on fluid resuscitation during shock stage in patients with massive burns, providing a basis for rational optimization of analgesia protocols in patients with burn shock. Methods: A retrospective case series study was conducted. One hundred and thirty-six patients with massive burns who met the inclusion criteria were admitted to Zhengzhou First People's Hospital from January 2015 to December 2020, and the patients were divided into continuous analgesia (CA) group (68 cases,with average age of 44 years old) and intermittent analgesia (IA) group (68 cases,with average age of 45 years old) according to whether sufentanil injection was continuously used for intravenous analgesia during the shock stage. The patients in the 2 groups were predominantly male. Before and at 72 h of treatment, the severity of disease and trauma pain of patients in the 2 groups were scored by the acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) and the visual analogue scale (VAS). Hematocrit, heart rate, mean arterial pressure (MAP), central venous pressure (CVP), oxygen saturation in central venous blood (ScvO₂), rehydration coefficient, blood lactate value, hourly urine output, and the adverse reactions such as hypotension, nausea, vomiting, dizziness, skeletal muscle tonicity, respiratory depression, bradycardia, pruritus, and drug addiction of patients in the 2 groups during the treatment were recorded at the 1^st, 2^nd, and 3^rd 24 h post-injury. Data were statistically analyzed with analysis of variance for repeated measurement, paired or independent sample t test, Bonferroni correction,chi-square test and Mann-Whitney U test. Results: Before treatment, APACHE Ⅱ and VAS scores of patients in the 2 groups were close (with t values of -0.67 and 0.32, respectively, P>0.05); At 72 h of treatment, APACHE Ⅱ and VAS scores of patients in CA group were 8.5±2.2 and 2.5±1.6, both of which were significantly lower than (15.2±3.0) and (7.9±2.0) of patients in IA group, respectively (with t values of -14.94 and -17.46, respectively, P<0.01). Compared with the pre-treatment period, the APACHE Ⅱ and VAS scores of patients in IA group decreased significantly at 72 h of treatment (with t values of 11.35 and 30.59, respectively, P<0.01); the changes in APACHE Ⅱ and VAS scores of patients at 72 h of treatment in comparison with those of patients before treatment in CA group were all similar to those of patients in IA group (with t values of 4.00 and 4.82, respectively, P<0.01). Compared with those of patients in IA group, there were no significant changes in CVP, hematocrit, heart rate, ScvO₂, and MAP of patients in CA group at all three 24 h post-injury (with t values of <0.01, 0.12, 2.10, 1.55, 0.03; 0.13, 0.22, <0.01, 0.17, 0.49; 0.63, 0.06, 0.04, 2.79, and 2.33, respectively, P>0.05). Compared with those of patients in IA group at the 1^st 24 h post-injury, CVP, ScvO₂ and MAP of patients were significantly higher at the 2^nd and 3^rd 24 h post-injury (with t values of -10.10, -9.31, -8.89; -10.81, -4.65, and -9.43, respectively, P<0.01), and the heart rate of patients was significantly lower at the 2^nd and 3^rd 24 h post-injury (with t values of 7.53 and 7.78, respectively, P<0.01), and the hematocrit of patients decreased significantly only at the 3^rd 24 h post-injury (t=15.55, P<0.01); the changes of CVP, ScvO₂, MAP and heart rate of patients at the 2^nd and the 3^rd 24 h post-injury, and HCT of patients at the 3^rd 24 h post-injury, in comparison with those of patients at the 1^st 24 h post-injury in CA group were similar to those of patients in IA group (with t values of -12.25, -10.24, -8.99, 9.42, -8.83, -7.53, -11.57, 10.44, and 12.91, respectively, P<0.01). Compared with those of patients in IA group, the rehydration coefficient of patients in CA group was significantly higher only at the 3^rd 24 h post-injury (t=5.60, P<0.05), blood lactate value of patients in CA group was significantly lower at the 1^st and 2^nd 24 h post-injury (with t values of 4.32 and 14.52, respectively, P<0.05 or P<0.01), the hourly urine output of patients in CA group increased significantly at the 1^st, 2^nd, and 3^rd 24 h post-injury (with t values of 24.65, 13.12, and 5.63, respectively, P<0.05 or P<0.01). Compared with the those of patients at the 1^st 24 h post-injury, the rehydration coefficient of patients in IA group decreased significantly at the 2^nd and the 3^rd 24 h post-injury (with t values of 33.98 and 36.91, respectively, P<0.01), the blood lactate values of patients in IA group decreased significantly at the 2^nd and the 3^rd 24 h post-injury (with t values of 8.20 and 11.68, respectively, P<0.01), and the hourly urine output of patients in IA group was significantly increased at the 2^nd and the 3^rd 24 h post-injury (with t values of -3.52 and -5.92, respectively, P<0.01); the changes of rehydration coefficients and blood lactate values of patients at the 2^nd and the 3^rd 24 h post-injury in comparison with those of patients at the 1^st 24 h post-injury in CA group were similar to those of patients in IA group (with t values of 35.64, 33.64, 9.86, and 12.56, respectively, P<0.01), but hourly urine output of patients in CA group increased significantly only at the 3^rd 24 h compared with that of patients at the 1^st 24 h post-injury (t=-3.07, P<0.01). Adverse reactions such as hypotension, nausea, vomiting, dizziness, bradycardia, and pruritus occurred rarely in patients of the 2 groups, and none of the patients had skeletal muscle tonicity, respiratory depression, or drug addiction. The incidence of adverse reactions of patients in CA group was similar to that in IA group (χ²=0.08, P>0.05). Conclusions: Continuous goal-directed analgesia can effectively relieve pain and improve vital signs of patients with large burns. Meanwhile it has little impact on volume load, which can assist in correcting ischemia and hypoxia during the shock period and help patients get through the shock period smoothly.
Adult ; Analgesia ; Burns/therapy* ; Fluid Therapy ; Goals ; Humans ; Male ; Middle Aged ; Pain ; Resuscitation ; Retrospective Studies ; Shock/therapy*

Emodin nanostructured lipid carriers(ED-NLC) were prepared and their quality was evaluated in vitro. Based on the results of single-factor experiments, the ED-NLC formulation was optimized by Box-Behnken response surface method with the dosages of emodin, isopropyl myristate and poloxamer 188 as factors and the nanoparticle size, encapsulation efficiency and drug loading as evaluation indexes. Then the evaluation was performed on the morphology, size and in vitro release of the nanoparticles prepared by emulsification-ultrasonic dispersion method in line with the optimal formulation, i.e., 3.27 mg emodin, 148.68 mg isopropyl myristate and 173.48 mg poloxamer 188. Under a transmission electron microscope(TEM), ED-NLC were spherical and their particle size distribution was uniform. The particle size of ED-NLC was(97.02±1.55) nm, the polymer dispersion index 0.21±0.01, the zeta potential(-38.96±0.65) mV, the encapsulation efficiency 90.41%±0.56% and the drug loading 1.55%±0.01%. The results of differential scanning calorimeter(DSC) indicated that emodin may be encapsulated into the nanostructured lipid carriers in molecular or amorphous form. In vitro drug release had obvious characteristics of slow release, which accorded with the first-order drug release equation. The fitting model of Box-Behnken response surface methodology was proved accurate and reliable. The optimal formulation-based ED-NLC featured concentrated particle size distribution and high encapsulation efficiency, which laid a foundation for the follow-up study of ED-NLC in vivo.
Drug Carriers ; Emodin ; Follow-Up Studies ; Lipids ; Nanostructures

Humans ; Polysomnography ; Sleep Apnea Syndromes/therapy*

Objective: To investigate theaccuracy of artificial intelligence sleep staging model in patients with habitual snoring and obstructive sleep apnea hypopnea syndrome (OSAHS) based on single-channel EEG collected from different locations of the head. Methods: The clinical data of 114 adults with habitual snoring and OSAHS who visited to the Sleep Medicine Center of Beijing Tongren Hospital from September 2020 to March of 2021 were analyzed retrospectively, including 93 males and 21 females, aging from 20 to 64 years old. Eighty-five adults with OSAHS and 29 subjects with habitual snoring were included. Sleep staging analysis was performed on the single lead EEG signals of different locations (FP2-M1, C4-M1, F3-M2, ROG-M1, O1-M2) using the deep learning segmentation model trained by previous data. Manual scoring results were used as the gold standard to analyze the consistency rate of results and the influence of different categories of disease. Results: EEG data in 124 747 30-second epochs were taken as the testing dataset. The model accuracy of distinguishing wake/sleep was 92.3%,92.6%,93.5%,89.2% and 83.0% respectively,based on EEG channel Fp2-M1, C4-M1, F3-M2, REOG-M1 or O1-M2. The mode accuracy of distinguishing wake/REM/NREM and wake/REM/N1-2/SWS , was 84.7% and 80.1% respectively based on channel Fp2-M1, which located in forehead skin. The AHI calculated based on total sleep time derived from the model and gold standard were 13.6[4.30,42.5] and 14.2[4.8,42.7], respectively (Z=-2.477, P=0.013), and the kappa coefficient was 0.977. Conclusions: The autonomic sleep staging via a deep neural network model based on forehead single-channel EEG (Fp2-M1) has a good consistency in the identification sleep stage in a population with habitual snoring and OSAHS with different categories. The AHI calculated based on this model has high consistency with manual scoring.
Adult ; Artificial Intelligence ; Electroencephalography ; Female ; Humans ; Male ; Middle Aged ; Neural Networks, Computer ; Retrospective Studies ; Sleep ; Sleep Stages ; Young Adult