ObjectiveNon-invasive magnetic stimulation technology has been widely used in the treatment of Alzheimer’s disease (AD), but there is a lack of convenient and timely methods for evaluating and providing feedback on the effectiveness of the stimulation, which can be used to guide the adjustment of the stimulation protocol. This study aims to explore the possibility of heart rate variability (HRV) in diagnosing AD and guiding AD magnetic stimulation intervention techniques. MethodsIn this study, we used a 40 Hz, 10 mT pulsed magnetic field to expose AD mouse models to whole-body exposure for 18 d, and detected the behavioral and electroencephalographic signals before and after exposure, as well as the instant electrocardiographic signals after exposure every day. ResultsUsing one-way ANOVA and Pearson correlation coefficient analysis, we found that some HRV indicators could identify AD mouse models as accurately as behavioral and electroencephalogram(EEG) changes (P<0.05) and significantly distinguish the severity of the disease (P<0.05), including rMSSD, pNN6, LF/HF, SD1/SD2, and entropy arrangement. These HRV indicators showed good correlation and statistical significance with behavioral and EEG changes (r>0.3, P<0.05); HRV indicators were significantly modulated by the magnetic field exposure before and after the exposure, both of which were observed in the continuous changes of electrocardiogram (ECG) (P<0.05), and the trend of the stimulation effect was more accurately observed in the continuous changes of ECG. ConclusionHRV can accurately reflect the pathophysiological changes and disease degree, quickly evaluate the effect of magnetic stimulation, and has the potential to guide the pattern of magnetic exposure, providing a new idea for the study of personalized electromagnetic neuroregulation technology for brain diseases.

Aim To explore the mechanism of action of Ruanmai decoction in treating atherosclerosis through network pharmacology. Methods The chemical components and targets of Ruanmai decoction were queried using TCMSP. Relevant targets for atherosclerosis were retrieved from DrugBank, GeneCards, OMIM, and TTD databases. The " Drug-Active Ingredient-Target" PPI network was constructed using Cyto-scape software. GO and KEGG enrichment analysis were performed using the David database. Molecular docking verification of key components with core targets was conducted using the Seesar software. Atherosclerosis mouse models were established by feeding ApoE mice with a high-fat diet, and Ruanmai decoction granules were administered orally. Aortic pathological sections were stained, blood lipids were measured, and immunofluorescence was used to detect Mac2 and YWHAZ protein expression. Western blot was used to detect p-p38MAPK and C-CASP3 protein expression. Results Ruanmai decoction screened a total of 72 active drug components corresponding to 168 target genes for the treatment of atherosclerosis. The targets were primarily enriched in biological processes related to lip-id metabolism, inflammation and immunity, oxidative stress, vascular endothelial function, cell proliferation and apoptosis, glycolysis, and ubiquitination. Signaling pathways such as МАРК, TNF, PDK-Akt, and IL-17 were also involved. Animal experiments verified that RMJ could regulate the p38MAPK signaling pathway by down-regulating key targets YWHAZ, p-p38MAPK, and C-CASP3, thereby reducing AS inflammation and inflammation-induced apoptosis. Conclusions Ruanmai decoction can inhibit the expression of YWHAZ and activate the p38MAPK signaling pathway, potentially improving vascular inflammation, lipid metabolism, oxidative stress, and other pathological processes by regulating the МАРК, TNF, PDK-Akt, and IL-17 signaling pathways, thus preventing and treating atherosclerosis.

Objective To explore the context and hotspot changes of forensic mixed stain research through bibliometric approach.Methods The literature of forensic mixed stain included in the core col-lection of Web of Science database from 2011 to 2022 were collected as the study object,and the an-nual publication number,countrie(region),institution,journal,keywords,etc.were bibliometrically and visually analyzed using the R-based Bibliometrix 1.1.6 package and VOSviewer 1.6.18 software.Re-sults A total of 732 articles on forensic mixed stain were included from 2011 to 2022,with the an-nual number of articles published and the annual citation frequency showing a steady increase year by year.Among the 59 countries(regions)with the most published articles,the United States ranked first with 246 articles,followed by China with 153 articles.The literature came from 104 journals,and the total number of articles published in the top 10 journals was 633.FORENSIC SCI INT GENET ranked first with 307 articles.Visual analysis using VOSviewer software showed that keywords could be divided into four research clusters,namely the genetic marker development group(blue),the mixed stain typing analysis theory group(red),the sequencing analysis group(yellow),and the case sample research group(green).It can be divided into four development stages in terms of different time peri-ods:early development(2011-2013),middle development(2014-2016),rapid development(2017-2020)and latest development(2021-2022).Conclusion The number of publications by domestic and foreign scholars in the study of mixed stain in forensic science is showing a relatively stable trend.Machine learning,next generation sequencing and other research have been the hottest topics that have attracted the most attention in recent years,which is expected to further develop the theory of mixed stain typing and sequencing analysis in forensic mixed stain research.

Objective:To evaluate the efficacy of cerebral-placental-uterine ratio(CPUR)in predicting late-on-set fetal growth restriction(FGR).Methods:From May 2020 to May 2021,1255 women with singleton pregnancy who underwent prenatal examinations at the University of Hong Kong Shenzhen Hospital were selected for fetal growth and Doppler measurements at 35-37 +6 weeks of gestation.Pregnant women with birth weight of newbo-rns＜the 10th percentile were the FGR group.The pulsatility index(PI)of uterine artery(UtA),umbilical artery(UA)and fetal middle cerebral artery(MCA)were analyzed separately and in combination.ROC curve was used to analyze the cerebral-placental-uterine ratio(CPUR),cerebral-placental ratio(CPR),cerebral-uterine ratio(C-UtA)for predicting late-onset FGR;and to evaluate the sensitivity,positive and negative predictive value and of CPUR in the prediction of late-onset FGR.Results:The area under the curve(AUC)of CPUR,CPR,C-UtA and mean UtA-PI for FGR grope were 0.88,0.86,0.84 and 0.72.Under certain cut-off values and 87% specificity,the specificity of CPUR,CPR,C-UtA and mean UtA-Pifor predicting FGR group was 43.2%,46.6%,39.8% and 23.9%,respectively.The positive predictive values of CPUR,CPR,C-UtA and mean UtA-PI,UA-PI for predicting FGR group were 90.5%,71.9%,83.3%,63.6%and 5.2%,respectively.Conclusions:CPUR is more effective in predicting late onset FGR than CPR,C-UtA and mean UtA-PI.It can effectively increase the detection rate of fetal growth restrictionand reduce the FGR risk.

Diabetic kidney disease(DKD)is one of the most important complications of diabetes.In recent years,domestic and foreign studies have found that mammalian target protein of rapamycin(mTOR)related signaling pathway is a classic pathway involved in the regulation of autophagy,which can achieve the therapeutic effect of DKD by targeting the autophagy pathway,and plays a crucial role in the prevention and treatment of DKD.In this paper,we reviewed the mechanism of mTOR-related signaling pathway targeted autophagy in the prevention and treatment of DKD,in order to provide a new reference and basis for clinical prevention and treatment of DKD.

Diabetic peripheral neuropathy(DPN)is a group of neurodegenerative diseases involving the peripheral nervous system.Long chain non-coding RNA(lncRNA)is an important regulatory factor in normal life activities and disease development,widely involved in gene expression regulation,epigenetic regulation,transcription and control and other biological processes.In recent years,a large number of studies have found that lncRNAs can affect the development of DPN by participating in the pathogenesis of DPN such as metabolic disorders,oxidative stress,neuroinflammation,vascular damage,cell autophagy,apoptosis and so on.This paper elaborates on the regulatory role of lncRNAs in the pathogenesis of DPN,with a view to providing scientific references and new ideas for clinical research.

Objective:To explore the relationship between BMI and levels of plasma amino acids and acylcarnitines in Chinese adults.Methods:Based on 2 182 individuals with targeted mass spectrometry metabolomic measurements from the first resurvey of the China Kadoorie Biobank, we assessed the linear and nonlinear associations between BMI and plasma levels of 20 amino acids and 40 acylcarnitines using linear regression models and restricted cubic spline models, and identified BMI-related metabolic pathways. We conducted one-sample Mendelian randomization (MR) with BMI genetic risk scores as the instrumental variable further to explore the potential causal relationships between BMI and 20 amino acids and 40 acylcarnitines, and tested for horizontal pleiotropy using the MR-Egger method.Results:Observational analyses found that BMI was associated with increased plasma levels of 3 branched-chain amino acids (isoleucine, leucine, and valine), 2 aromatic amino acids (phenylalanine and tyrosine), 3 other amino acids (cysteine, glutamate, lysine), and 7 acylcarnitines (C3, C4, C5, C10, C10:1, C14, and C16), and with decreased circulating levels of asparagine, serine, and glycine. Pathway analysis identified 7 BMI-related amino acids metabolic pathways (false discovery rate corrected all P<0.05), including branched-chain amino acids and aromatic amino acids biosynthesis, glutathione metabolism, etc. BMI showed a nonlinear relationship with leucine, valine, and threonine, and a linear relationship with other amino acids and acylcarnitines. One-sample MR analyses revealed that BMI was associated with elevated levels of tyrosine and 4 acylcarnitines [C5-DC(C6-OH), C5-M-DC, C12-DC, and C14], with tyrosine and acylcarnitine C14 positively correlated with BMI in both observational [the β values (95% CIs) were 0.057 (0.044-0.070) and 0.018 (0.005-0.032), respectively] and One-sample MR analyses [the β values (95% CIs) were 0.102 (0.035-0.169) and 0.104 (0.036-0.173), respectively]. The MR analyses of the current study satisfied the 3 core assumptions of instrumental variable. Conclusions:BMI was associated with circulating 11 amino acids and 7 acylcarnitines in Chinese adults, involving several pathways such as branched-chain amino acid and aromatic amino acid metabolism, fatty acid metabolism, and oxidative stress. There may be a causal relationship between BMI and tyrosine and acylcarnitine C14.

Objective:To describe the distribution of lipoprotein (a) [Lp(a)] levels in non-arteriosclerotic cardiovascular disease (ASCVD) population in China and explore its influencing factors.Methods:This study was based on a nested case-control study in the CKB study measured plasma biomarkers. Lp(a) levels was measured using a polyclonal antibody-based turbidimetric assay certified by the reference laboratory and ≥75.0 nmol/L defined as high Lp(a). Multiple logistic regression model was used to examine the factors related to Lp(a) levels.Results:Among the 5 870 non-ASCVD population included in the analysis, Lp(a) levels showed a right-skewed distribution, with a M ( Q1, Q3) of 17.5 (8.8, 43.5) nmol/L. The multiple logistic regression analysis found that female was associated with high Lp(a) ( OR=1.23, 95% CI: 1.05-1.43). The risk of increased Lp(a) levels in subjects with abdominal obesity was significantly reduced ( OR=0.68, 95% CI: 0.52-0.89). As TC, LDL-C, apolipoprotein A1(Apo A1), and apolipoprotein B(Apo B) levels increased, the risk of high Lp(a) increased, with OR (95% CI) for each elevated group was 2.40 (1.76-3.24), 2.68 (1.36-4.93), 1.29 (1.03-1.61), and 1.65 (1.27-2.13), respectively. The risk of high Lp(a) was reduced in the HDL-C lowering group with an OR (95% CI) of 0.76 (0.61-0.94). In contrast, an increase in TG levels and the ratio of Apo A1/Apo B(Apo A1/B) was negatively correlated with the risk of high Lp(a), with OR (95% CI) of 0.73 (0.60-0.89) for elevated triglyceride group, and OR (95% CI) of 0.60 (0.50-0.72) for the Apo A1/B ratio increase group (linear trend test P≤0.001 except for Apo A1). However, no correlation was found between Lp(a) levels and lifestyle factors such as diet, smoking, and physical activity. Conclusions:Lp(a) levels were associated with sex and abdominal obesity, but less with lifestyle behaviors.

Objective:To investigate the effect of sleep on physical performance and the correlation between sleep quality and physical performance in the elderly.Methods:In this prospective multicenter case-control study, 472 elderly people aged 60-80 years were recruited from three regions in China, Beijing, Tianjin, and Hainan Province.Basic information of study participants was collected through face-to-face interviews, and physical performance of study participants was assessed by the time up and go(TUG)test on site, with 106 cases(22.5%)in the normal physical performance group and 366 cases(77.5%)in the abnormal group.The Pittsburgh Sleep Quality Index(PSQI)and the Epworth Sleepiness Scale(ESS)were applied to assess sleep quality of study subjects.Correlation analysis was performed to examine factors affecting subjects' physical performance.Results:Age, history of alcohol consumption, BMI, past medical history, the ESS score, daytime sleepiness, and some components of PSQI, such as sleep quality, sleep efficiency, sleep disturbances, use of sleeping drugs and daytime dysfunction, were influencing factors of the TUG score.Two components of PSQI, sleep duration and habitual sleep efficiency, and the ESS score were positively correlated with physical performance.Logistic regression analysis showed that risk factors for decreased physical performance in the elderly included increased age( OR=1.125, 95% CI: 1.083-1.168, P<0.01), history of alcohol consumption( OR=0.482, 95% CI: 0.384-0.605, P<0.001), abnormally high body mass index( OR=1.663, 95% CI: 1.340-2.063, P<0.01), hyperlipemia( OR=0.156, 95% CI: 0.077-0.318, P<0.01), digestive system diseases( OR=0.154, 95% CI: 0.044-0.532, P<0.01), use of sleeping drugs( OR=0.415, 95% CI: 0.202-0.854, P<0.05), daytime sleepiness( OR=4.234, 95% CI: 2.800-6.403, P<0.01), a high habitual sleep efficiency score of PSQI( OR=1.425, 95% CI: 1.214-1.672, P<0.01)and a high sleep disturbances score in PSQI( OR=3.356, 95% CI: 2.337-4.819, P<0.01). Conclusions:The incidence of physical performance decline is high in the elderly.There is a correlation between physical performance and sleep quality.

Objective:To investigate the effect of trastuzumab deruxtecan (T-DXd) in the treatment of metastatic breast cancer (MBC) patients with different expression levels of human epidermal growth factor receptor 2 (HER2) and the influencing factors of prognosis.Methods:The retrospective case series analysis and cohort study were conducted. Clinical data of 20 MBC patients with different expression levels of HER2 treated with T-DXd at Xi'an International Medical Center Hospital from August 2021 to August 2023 were retrospectively collected to analyze the efficacy and safety of T-DXd. The Cox proportional hazards model was used for multivariate analysis of prognostic factors.Results:All 20 patients were female, with a median age [ M ( Q1, Q3)] of 49 years old (40 years old, 58 years old). Of the 20 cases, 12 had low expression of HER2 [immunohistochemistry HER2+, or immunohistochemistry ++ and fluorescence in situ hybridization (FISH)-negative], and 8 had overexpression of HER2 (immunohistochemistry HER2+++, or immunohistochemistry ++ and FISH-positive); median number of lines of treatment with T-DXd was 6 lines (3 lines, 7 lines); 14 patients had partial remission, 3 patients had stable disease, and 3 patients had disease progression, with an objective remission rate (ORR) of 70% (14/20) and a disease control rate of 85% (17/20). Eight patients with overexpression of HER2 had objective remission in 6 cases, and 12 patients with low expression of HER2 had objective remission in 8 cases, and the ORR difference between the two groups was not statistically significant ( P = 1.000). The main adverse reactions of the patients were nausea (14 cases), vomiting (12 cases), leukopenia (10 cases), elevated aspartate aminotransferase (10 cases), elevated alanine aminotransferase (9 cases), anemia (8 cases), fatigue (8 cases), alopecia (8 cases), neutropenia (6 cases), and thrombocytopenia (5 cases); ≥ grade 3 adverse reactions were bone marrow suppression and gastrointestinal reactions, all with an incidence of ≤10%. The median follow-up time was 7.1 months (1.9 months, 11.5 months). The median progression-free survival (PFS) time was 6.5 months (95% CI: 3.9-9.1 months), and the median PFS time of patients with overexpression of HER2 was longer than that of patients with low expression of HER2 [7.0 months (95% CI: 6.4- 7.6 months) vs. 4.0 months (95% CI: 1.7-6.3 months)], and the difference in PFS between the two groups was statistically significant ( P = 0.025). Multivariate Cox regression analysis showed that overexpression of HER2 was an independent protective factor for PFS in MBC patients treated with T-DXd ( HR = 0.265, 95% CI: 0.075-0.945, P = 0.041). Conclusions:MBC patients with overexpression or low expression of HER2 have a good therapeutic effect and safety profile when treated with T-DXd. The overexpression of HER2 may predict good PFS in MBC patients treated with T-DXd, and may serve as a biomarker for predicting PFS in such patients, but it may not affect the ORR.