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*

Guided by the concept of quality by design(QbD), this study optimizes the calcination and quenching process of calcined Magnetitum and establishes the XRD characteristic spectra of calcined Magnetitum, providing a scientific basis for the formulation of quality standards. Based on the processing methods and quality requirements of Magnetitum in the Chinese Pharmacopoeia, the critical process parameters(CPPs) identified were calcination temperature, calcination time, particle size, laying thickness, and the number of vinegar quenching cycles. The critical quality attributes(CQAs) included Fe mass fraction, Fe~(2+) dissolution, and surface color. The weight coefficients were determined by combining Analytic Hierarchy Process(AHP) and the criteria importance though intercrieria correlation(CRITIC) method, and the calcination process was optimized using orthogonal experimentation. Surface color was selected as a CQA, and based on the principle of color value, the surface color of calcined Magnetitum was objectively quantified. The vinegar quenching process was then optimized to determine the best processing conditions. X-ray diffraction(XRD) was used to establish the characteristic spectra of calcined Magnetitum, and methods such as similarity evaluation, cluster analysis, and orthogonal partial least squares-discriminant analysis(OPLS-DA) were used to evaluate the quality of the spectra. The optimized calcined Magnetitum preparation process was found to be calcination at 750 ℃ for 1 h, with a laying thickness of 4 cm, a particle size of 0.4-0.8 cm, and one vinegar quenching cycle(Magnetitum-vinegar ratio 10∶3), which was stable and feasible. The XRD characteristic spectra analysis method, featuring 9 common peaks as fingerprint information, was established. The average correlation coefficient ranged from 0.839 5-0.988 1, and the average angle cosine ranged from 0.914 4 to 0.995 6, indicating good similarity. Cluster analysis results showed that Magnetitum and calcined Magnetitum could be grouped together, with similar compositions. OPLS-DA discriminant analysis identified three key characteristic peaks, with Fe_2O_3 being the distinguishing component between the two. The final optimized processing method is stable and feasible, and the XRD characteristic spectra of calcined Magnetitum was initially established, providing a reference for subsequent quality control and the formulation of quality standards for calcined Magnetitum.
X-Ray Diffraction/methods* ; Drugs, Chinese Herbal/chemistry* ; Quality Control ; Particle Size

As a novel tumor treatment,photodynamic therapy(PDT)has been widely used in clinical treatment of a variety of tumors due to its advantages,such as fewer adverse reactions,precise targeting and repeatability of treatment.Unlike conventional treatments,such as surgery,chemotherapy and radiotherapy,PDT not only eliminates the primary tumor but also effectively inhibits metastatic tumors by activating the body's immune response.However,the PDT-activated immune response is influenced by multiple factors,including the localization and dose of photosensitizer in the cells,light parameters,oxygen concentration in the tumor,and the integrity of immune function.This review summarizes the mechanisms behind the PDT-activated anti-tumor immune response,systematically examines the key influencing factors on the immune effect of PDT,and discusses the future development direction of PDT in cancer treatment.

The outer membrane composed predominantly of lipopolysaccharide (LPS) is an essential biological barrier for most Gram-negative (G^-) bacteria. Lipopolysaccharide transport protein (Lpt) complex LptDE is responsible for the critical final stage of LPS transport and outer membrane assembly. The structure and function of LptDE are highly conserved in most G^- bacteria but absent in mammalian cells, and thus LptDE complex is regarded as an attractive antibacterial target. In recent 10 years, the deciphering of the three-dimensional structure of LptDE protein facilities the drug discovery based on such "non-enzyme" proteins. Murepavadin, a peptidomimetic compound, was reported to be the first compound able to target LptD, enlightening a new class of antibacterial molecules with novel mechanisms of action. This article is devoted to summarize the molecular characteristics, structure-function of LptDE protein complex and review the development of murepavadin and related peptidomimetic compounds, in order to provide references for relevant researches.

AIM: To establish a method for quantitation of cefepime and avibactam in M-H broth, and applicated in the in vitro dynamic PK/PD model. METHODS: The cefepime was also determined using the high-performance liquid chromatography method (HPLC), the avibactam was also determined using the liquid chromatography-mass spectrometry (LC-MS/MS), an in vitro dynamic PK/PD model was established to study the PK/PD relationship of cefepime/avibactam against carbapenem resistant Klebsiella pneumoniae (CRKP). RESULTS: The linear ranges of cefepime and avibactam were good at (0.5-20) and (0.1-25) μg/mL (r=0.999), and the lower limit concentrations were 0.5 and 0.1 μg/mL. The extraction recoveries of cefepime and avibactam in M-H broth were 88.0%-101.7% and 90.9%-95.2%, the relative standard deviation of intra-day precision and inter-day precision were less than 5.2%. The concentration-time curves were well simulated by the PK/PD model. All observed concentrations in each experiment were in the range of 20% of the targeted values. For the CRKP of MIC=8 μg/mL and MIC=16 μg/mL, the colony decreased to 2.783Log10 CFU/mL and 1.325Log10 CFU/mL at the cefepime/avibactam 2.5 g q8 h administration after 24 h. CONCLUSION: The determination method of cefepime and avibactam in broth established in this study has high sensitivity and good stability. For the CRKP with MIC≤8 μg/mL,cefepime/avibactam showed that good anti-CRKP activity under routine administration in vitro dynamic PK/PD model.

ObjectiveTo investigate the efficacy and safety of N-acetylcysteine （NAC） in the treatment of severe alcoholic hepatitis （SAH）， and to provide a basis for clinical medication for SAH. MethodsA prospective randomized controlled trial was conducted among 172 SAH patients with a Maddrey discriminant function score of >32 points who were recruited by The Fifth Medical Center of Chinese PLA General Hospital from June 2015 to June 2018， and these patients were divided into NAC group with 84 patients and control group with 86 patients. NAC （8 g/day， 28 days） was assessed in terms of its safety in SAH patients， its impact on 28-day biochemical parameters， and its role in improving 28- and 180-day survival rates. A further analysis was performed to investigate the effect of NAC on the 28- and 180-day survival rates of SAH patients with acute-on-chronic liver failure （ACLF-SAH patients） and those without acute-on-chronic liver failure （non-ACLF-SAH patients）. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups. The Kaplan-Meier method was used to plot survival curves， and the Log-rank test was used for comparison of survival curves. Univariate and multivariate Cox proportional-hazards regression model analyses were used to investigate independent influencing factors. ResultsNo serious adverse events were observed during NAC treatment， suggesting that NAC had a good safety profile. Compared with the control group， NAC did not significantly improve the 28-day biochemical parameters （all P>0.05） and survival rate of SAH patients （P=0.081）， but it could improve the 180-day survival rate of SAH patients （67.4% vs 81.0%， χ²=4.280， P=0.039）. NAC did not improve the 28- and 180-day survival rates of ACLF-SAH patients （both P>0.05）； NAC did not improve the 28-day survival rate of non-ACLF-SAH patients （P>0.05）， but it could improve the 180-day survival rate of these patients （68.4% vs 88.9%， χ²=4.883， P=0.027）. The multivariate Cox regression survival analysis showed that NAC treatment （hazard ratio ［HR］=2.530， 95% confidence interval ［CI］： 1.334‍ ‍— 4.796， P=0.004，）， Maddrey discriminant function score （HR=3.852， 95%CI： 2.032 — 7.304， P<0.001）， and serum sodium level （HR=1.948， 95%CI： 1.079‍ ‍—‍ ‍3.517， P=0.027） were independent influencing factors for 180-day survival rate in SAH patients. ConclusionNAC has a good safety profile in the treatment of SAH and can improve the 180-day survival rate of SAH patients， and in particular， non-ACLF-SAH patients can benefit from NAC treatment in terms of middle- and long-term survival rates.

Objective As primary Sj?gren's syndrome(pSS)primarily affects the salivary glands,saliva can serve as an indicator of the glands'pathophysiology and the disease's status.This study aims to illustrate the salivary proteomic profiles of pSS patients and identify potential candidate biomarkers for diagnosis. Methods The discovery set contained 49 samples(24 from pSS and 25 from age-and gender-matched healthy controls[HCs])and the validation set included 25 samples(12 from pSS and 13 from HCs).Totally 36 pSS patients and 38 HCs were centrally randomized into the discovery set or to the validation set at a 2:1 ratio.Unstimulated whole saliva samples from pSS patients and HCs were analyzed using a data-independent acquisition(DIA)strategy on a 2D LC-HRMS/MS platform to reveal differential proteins.The crucial proteins were verified using DIA analysis and annotated using gene ontology(GO)and International Pharmaceutical Abstracts(IPA)analysis.A prediction model for SS was established using random forests. Results A total of 1,963 proteins were discovered,and 136 proteins exhibited differential representation in pSS patients.The bioinformatic research indicated that these proteins were primarily linked to immunological functions,metabolism,and inflammation.A panel of 19 protein biomarkers was identified by ranking order based on P-value and random forest algorichm,and was validated as the predictive biomarkers exhibiting good performance with area under the curve(AUC)of 0.817 for discovery set and 0.882 for validation set. Conclusions The candidate protein panel discovered may aid in pSS diagnosis.Salivary proteomic analysis is a promising non-invasive method for prognostic evaluation and early and precise treatments for pSS patients.DIA offers the best time efficiency and data dependability and may be a suitable option for future research on the salivary proteome.

Aim To establish a gait analysis system based on DeepLabCut(DLC)algorithm for evaluating motor function in aged mice.Methods Based on DLC algorithm in deep learning technology,treadmill device and fully closed design were used in the system,including software and hardware.This system was applied to evaluate gait characteristics of mice due to aging un-der different movement modes.Correlation analysis was used to explore the effects of body weight and body length on gait indica-tors.Results This system realized the synchronous analysis of three-dimensional gait(lateral and ventral plane)of mice at specific gait speed,and automatically quantified 47 gait indica-tors.Using this system,it was found that during walking(15 cm·s-1),the standard deviation of body turning angle decreased,forelimb sway duration,standard deviation of knee angle,mean outward angles of left and right hind paw increased in 8 and 15 month-old mice,compared with 2-month-old mice.However,15-month-old mice showed decreased walking frequency,and in-creased stride width,total duration of double support,and knee extension and contraction distance.In addition,at trot(20 cm·s-1),15-month-old mice were unable to walk steadily,and 8-month-old mice had increased total duration of double support and mean outward angles of left hind paw,compared with 2-month-old mice.Correlation analysis revealed that indicators like walking frequency,stride width,forelimb sway duration,total duration of double support,standard deviation of knee an-gle,knee extension and contraction distance,were not affected by changes in body weight and body length.Conclusions The gait analysis system based on DLC algorithm can achieve a more sensitive,accurate and comprehensive evaluation of the gait of aged mice,distinguishing the gait characteristics of aged mice to maintain gait stability,and selecting behavioral indicators that better reflect the gait changes of aged mice.It provides a meth-odological basis for more effective assessment of efficacy and side effects of drugs for anti-aging and anti-decline of motor coordina-tion in the future.

Objective:To evaluate the clinical efficacy of thunder-fire moxibustion plus glucosamine sulfate potassium capsule in treating knee osteoarthritis (KOA).Methods:This study was a randomized controlled trial. A total of 90 participants with KOA in the Acupuncture and Moxibustion Department, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University from February 2020 to December 2021 were randomized and assigned into 3 groups, with 30 cases in each group according to the random number table method. The thunder-fire moxibustion group was only treated with thunder-fire moxibustion on Neixiyan and Dubi acupoints, while the medication group was only treated with oral glucosamine sulfate potassium capsule, and the thunder-fire moxibustion plus medication group was treated with thunder-fire moxibustion on Neixiyan and Dubi acupoints combined with oral glucosamine sulfate potassium capsule. All the three groups were treated for 4 weeks. The degree of joint pain and stiffness was assessed using the Western Ontario and McMaster Universities osteoarthritis index (WOMAC); the amount of knee joint cavity effusion was detected by ultrasound; the knee circumference was measured to assess the degree of knee swelling.Results:After treatment, the amount of knee joint cavity effusion [(3.21±2.44) mm, (3.73±2.53) mm vs. (4.80±3.07) mm, F=6.82], the WOMAC score [(65.88±30.25), (77.74±28.27) vs. (86.58±31.50), F=7.92], knee circumference [(36.74±2.74) cm, (37.59±2.63) cm vs. (38.51±3.09) cm, F=8.94] in the thunder-fire moxibustion plus medication group and the thunder-fire moxibustion group were lower than those in the medication group ( P<0.01). Conclusion:Thunder-fire moxibustion plus oral glucosamine sulfate potassium capsule can reduce the amount of knee joint cavity effusion, WOMAC score and the degree of knee swelling, and the efficacy is better than thunder -fire moxibustion and oral glucosamine sulfate potassium capsule.

OBJECTIVE: Traditional epidemiological studies have shown that C-reactive protein (CRP) is associated with the risk of cardiovascular diseases (CVDs). However, whether this association is causal remains unclear. Therefore, Mendelian randomization (MR) was used to explore the causal relationship of CRP with cardiovascular outcomes including ischemic stroke, atrial fibrillation, arrhythmia and congestive heart failure. METHODS: We performed two-sample MR by using summary-level data obtained from Japanese Encyclopedia of Genetic association by Riken (JENGER), and we selected four single-nucleotide polymorphisms associated with CRP level as instrumental variables. MR estimates were calculated with the inverse-variance weighted (IVW), penalized weighted median and weighted median. MR-Egger regression was used to explore pleiotropy. RESULTS: No significant causal association of genetically determined CRP level with ischemic stroke, atrial fibrillation or arrhythmia was found with all four MR methods (all Ps > 0.05). The IVW method indicated suggestive evidence of a causal association between CRP and congestive heart failure ( OR: 1.337, 95% CI: 1.005-1.780, P = 0.046), whereas the other three methods did not. No clear pleiotropy or heterogeneity were observed. CONCLUSIONS Suggestive evidence was found only in analysis of congestive heart failure; therefore, further studies are necessary. Furthermore, no causal association was found between CRP and the other three cardiovascular outcomes.
C-Reactive Protein/metabolism* ; Cardiovascular Diseases/metabolism* ; Genetic Predisposition to Disease ; Genotype ; Humans ; Japan ; Mendelian Randomization Analysis ; Polymorphism, Single Nucleotide ; Risk Factors