Exercise, as a non-pharmacological intervention, holds a pivotal role in metabolic regulation, neuroplasticity, and immune homeostasis maintenance. However, human exercise studies are constrained by ethical limitations in tissue sampling, especially for key organs such as muscles and the brain. Meanwhile, rodent models like mice exhibit physiological differences in exercise patterns and metabolic rates from human. Despite these challenges, approximately 70% of human and mouse genes are conserved, providing a molecular basis for cross-species comparisons. This paper leverages the GEPREP database, which integrates human and mouse exercise transcriptomic data from multiple platforms, to conduct a comprehensive cross-species analysis of exercise-induced gene expression patterns. We employ a stringent data standardization process, including the conversion of orthologous genes and the filtering of low-expressing genes, to ensure the accuracy and reliability of the analysis. A mixed-effects model is utilized to assess differential gene expression across multiple cohorts, identifying genes that are significantly upregulated or downregulated in response to exercise. The analysis reveals a complex pattern of gene expression, with a significant number of genes showing conserved responses between humans and mice, particularly in acute aerobic exercise, where genes such as ATF3, PPARGC1A, and ANKRD1 are commonly upregulated. These genes are implicated in muscle stress response, metabolic regulation, and muscle adaptation, highlighting the shared molecular pathways activated by exercise across species. However, the study also uncovers substantial species-specific differences in gene expression, especially in chronic aerobic exercise, where the number of divergently regulated genes increases. These differences suggest that while some fundamental biological processes are conserved, the specific regulatory mechanisms and gene expression patterns can vary significantly between humans and mice. Functional enrichment analysis further reveals that conserved genes are involved in muscle development, inflammation regulation, and energy metabolism, while species-specific genes are associated with ion transport, extracellular matrix (ECM) organization, and muscle contraction, indicating the multifaceted impact of exercise on skeletal muscle function. The findings emphasize the importance of considering species-specific differences when interpreting results from animal models and translating them to human health applications. The study highlights the need for a more nuanced understanding of the molecular underpinnings of exercise-induced adaptations and underscores the value of cross-species comparative analyses in uncovering the evolutionary and functional basis of these responses. Future research should focus on integrating multi-omics data and expanding the analysis to include other tissues to provide a more comprehensive view of the systemic effects of exercise. Additionally, the development of species-specific gene editing models and the validation of key genes in exercise physiology will further enhance our understanding of the evolutionary logic behind exercise interventions. This study not only provides valuable insights into the molecular mechanisms of exercise-induced adaptations but also underscores the necessity of validating findings from animal models in human cohorts to ensure the reliability and applicability of translational research in exercise science. By addressing these aspects, the study aims to bridge the gap between basic research and clinical applications, ultimately contributing to the development of personalized exercise prescriptions and interventions that can effectively promote health and prevent diseases.

OBJECTIVE: To explore the clinical significance of anti-endothelial cell antibodies (AECA) in predicting early miscarriage. METHODS: A total of 122 pregnant women with no history of autoimmune diseases who underwent prenatal examination at Peking University People's Hospital from January 2020 to December 2022 were selected, and they were tested for AECA. Based on the history of early miscarriage (gestational age at miscarriage < 12 weeks), the participants were divided into an early miscarriage group and a control group. t-tests, non-parametric Wilcoxon tests, Chi-square tests, and Fisher's exact probability method were used to compare general information and laboratory indicators between the two groups. A multivariate Logistic regression model was used to analyze the factors associated with early miscarriage. The natural miscarriage rates were assessed through follow-up with pregnant women, and Kaplan-Meier survival analysis was employed to compare the natural miscarriage rates between AECA-positive and AECA-negative pregnant women. RESULTS: (1) A total of 122 pregnant women were enrolled, comprising 35 cases (28.7%) in the early miscarriage group, with an average age of (32.1±6.1) years, and 87 cases (71.3%) in the control group, with an average age of (30.7±5.1) years. The early miscarriage group had higher gravidity [3 (2, 4) vs. 1 (1, 2), Z=-6.402, P < 0.001] and a higher prevalence of hypertension (11.4% vs.1.1%, P=0.024). The positive rate of AECA in the early miscarriage group (34.3% vs. 8.0%, χ²=13.070, P < 0.001) and the proportion of elevated immunoglobulin G (17.1% vs. 4.6%, P=0.032) were significantly higher than that in the control group. (2) Multivariate logistic regression analysis showed that higher gravidity (OR=4.149, 95%CI: 2.287-7.529, P < 0.001), AECA positivity (OR= 4.288, 95% CI: 1.157-15.893, P=0.029), and elevated immunoglobulin G levels (OR =6.177, 95%CI: 1.156-33.015, P=0.033) were risk factors for early miscarriage. (3) The 122 pregnant women were categorized into two groups: the AECA-positive group (19 cases) and the AECA-negative group (103 cases). Survival analysis demonstrated that at the end of 12 weeks of gestation, the fetal survival rate in the AECA-positive group was significantly lower than that in the AECA-negative group (84.2% vs. 96.1%, P= 0.035). CONCLUSION Higher gravidity, AECA positivity, and elevated immunoglobulin G levels are significant risk factors for early miscarriage. The results demonstrate that AECA is a novel predicting test in early miscarriage.
Humans ; Female ; Pregnancy ; Adult ; Infant ; Abortion, Spontaneous ; Autoantibodies ; Immunoglobulin G ; Hypertension

The regulation of spermatogonial proliferation and apoptosis is of great significance for maintaining spermatogenesis. The single-cell RNA sequencing (scRNA-seq) analysis of the testis was performed to identify genes upregulated in spermatogonia. Using scRNA-seq analysis, we identified the spermatogonia upregulated gene origin recognition complex subunit 6 (Orc6), which is involved in DNA replication and cell cycle regulation; its protein expression in the human and mouse testis was detected by western blot and immunofluorescence. To explore the potential function of Orc6 in spermatogonia, the C18-4 cell line was transfected with control or Orc6 siRNA. Subsequently, 5-ethynyl-2-deoxyuridine (EdU) and terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) assays, flow cytometry, and western blot were used to evaluate its effects on proliferation and apoptosis. It was revealed that ORC6 could promote proliferation and inhibit apoptosis of C18-4 cells. Bulk RNA sequencing and bioinformatics analysis indicated that Orc6 was involved in the activation of wingless/integrated (Wnt)/ β-catenin signaling. Western blot revealed that the expression of β-catenin protein and its phosphorylation (Ser675) were significantly decreased when silencing the expression of ORC6. Our findings indicated that Orc6 was upregulated in spermatogonia, whereby it regulated proliferation and apoptosis by activating Wnt/β-catenin signaling.

OBJECTIVE: To assess the effect and safety of Reyanning Mixture (RYN) in treating asymptomatic or mild severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in children and adolescents. METHODS: This is a prospective, open-label, randomized controlled trial. Patients aged 1-17 years and diagnosed with asymptomatic or mild coronavirus disease-2019 (COVID-19) were assigned to an intervention group (RYN plus standard care) and a control group (standard care) according to a randomization list. The primary outcomes were SARS-CoV-2 negative conversion time. Secondary outcomes included negative conversion rate on days 3 and 7, hospital length of stay, symptom relief rate, new-onset symptoms of asymptomatic infected patients, and progressive disease rate. The cycle threshold (Ct) values of ORF1ab or N genes were also tested. RESULTS: A total of 214 patients in the intervention group and 217 in the control group were analyzed. The SARS-CoV-2 negative conversion time was significantly shortened in the intervention group [5 days (interquartile range (IQR): 5-6) vs. 7 days (IQR: 6-7), P<0.01]. By days 3 and 7, the negative conversion rates were significantly higher in the intervention group (day 3: 32.7% vs. 21.2%, P=0.007; day 7: 75.2% vs. 60.8%, P=0.001). Ct values significantly increase on day 2 [ORF1ab gene: 35.62 (IQR: 29.17-45.00) vs. 34.22 (IQR: 28.41-39.41), P=0.03; N gene: 34.97 (IQR: 28.50-45.00) vs. 33.51 (IQR: 27.70-38.25), P=0.024] and day 3 [ORF1ab gene: 38.00 (IQR: 32.72-45.00) vs. 35.81 (IQR: 29.96-45.00), P=0.003; N gene: 37.16 (IQR: 32.01-45.00) vs. 35.26 (IQR: 29.09-45.00), P=0.01]. No significant difference was found in hospital length of stay between the two groups (P>0.05). Symptoms of cough were significantly improved (82.2% vs. 70.0%, P=0.02) and wheezing was significantly reduced (0.7% vs. 12.9%, P<0.01) in the intervention group compared with the control group. During the trial, no disease progression or serious adverse events were reported. CONCLUSION Adding RYN to standard care may be a safe and effective treatment for children with asymptomatic and mild SARS-CoV-2 infection. (Registration No. ChiCTR2200060292).

OBJECTIVES: To estimate postmortem interval (PMI) by analyzing the protein changes in skeletal muscle tissues with the protein chip technology combined with multivariate analysis methods. METHODS: Rats were sacrificed for cervical dislocation and placed at 16 ℃. Water-soluble proteins in skeletal muscles were extracted at 10 time points (0 d, 1 d, 2 d, 3 d, 4 d, 5 d, 6 d, 7 d, 8 d and 9 d) after death. Protein expression profile data with relative molecular mass of 14 000-230 000 were obtained. Principal component analysis (PCA) and orthogonal partial least squares (OPLS) were used for data analysis. Fisher discriminant model and back propagation (BP) neural network model were constructed to classify and preliminarily estimate the PMI. In addition, the protein expression profiles data of human skeletal muscles at different time points after death were collected, and the relationship between them and PMI was analyzed by heat map and cluster analysis. RESULTS: The protein peak of rat skeletal muscle changed with PMI. The result of PCA combined with OPLS discriminant analysis showed statistical significance in groups with different time points (P<0.05) except 6 d, 7 d and 8 d after death. By Fisher discriminant analysis, the accuracy of internal cross-validation was 71.4% and the accuracy of external validation was 66.7%. The BP neural network model classification and preliminary estimation results showed the accuracy of internal cross-validation was 98.2%, and the accuracy of external validation was 95.8%. There was a significant difference in protein expression between 4 d and 25 h after death by the cluster analysis of the human skeletal muscle samples. CONCLUSIONS The protein chip technology can quickly, accurately and repeatedly obtain water-soluble protein expression profiles in rats' and human skeletal muscles with the relative molecular mass of 14 000-230 000 at different time points postmortem. The establishment of multiple PMI estimation models based on multivariate analysis can provide a new idea and method for PMI estimation.
Animals ; Humans ; Rats ; Multivariate Analysis ; Postmortem Changes ; Protein Array Analysis ; Technology

The purpose of this study was to investigate the epidemiological characteristics and risk factors of influenza in Hainan province,to provide evidence to support influenza prevention and control efforts.Pathogen monitoring data of influenza-like illness(ILI)in six national sentinel hospitals in Hainan province from 2013 to 2021 were analyzed in SPSS 20.0 software.A total of 50 415 ILI cases were detected during the 2013-2021 season,of which 5 581 were positive for influenza viruses,with a positivity rate of 11.07％.The dominant strains were type B,type A(H1N1)pdm09 and type A(H3N2).The positivi-ty rate of influenza virus was highest in people 5-14 years of age(17.56％)and lowest in people 0-4 years of age(7.32％).Influenza activity showed both a summer peak and a winter-spring peak in the 2014-2016,2017-2018 and 2019-2020 sea-sons,and was concentrated in April to September,with a maximum peak of 53.64％,and in November to March of the next year,with a peak of 47.30％.The 2013-2014,2016-2017 and 2018-2019 seasons showed only a winter-spring peak concen-trated between October and March of the next year,with a maximum peak of 54.17％,but no obvious summer peak.The pre-dominant influenza viruses during the eight surveillance seasons varied among H1N1,H3N2 and type B.The positive detection rate of influenza virus steeply declined during the 2020-2021 season:the positive detection rate was only 0.25％,and no obvi-ous epidemic period was observed.The intensity of influenza epidemic varied among monitoring years,and the dominant strains changed rapidly in Hainan Province.People 5-14 years of age were the key population affected.Summer,winter and spring were the key periods for influenza prevention and control.Etiological surveillance of influenza should continue to be strength-ened,the roles of health education and publicity should be emphasized,and the dual measures of influenza vaccination and non-drug intervention should be actively promoted to decrease the occurrence of influenza.

OBJECTIVE: Severe cases of coronavirus disease 2019 (COVID-19) are expected to have a worse prognosis than mild cases. Shenhuang Granule (SHG) has been shown to be a safe and effective treatment for severe COVID-19 in a previous randomized clinical trial, but the active chemical constituents and underlying mechanisms of action remain unknown. The goal of this study is to explore the chemical basis and mechanisms of SHG in the treatment of severe COVID-19, using network pharmacology. METHODS: Ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry was employed to screen chemical constituents of SHG. Putative therapeutic targets were predicted by searching traditional Chinese medicine system pharmacology database and analysis platform, SwissTargetPrediction, and Gene Expression Omnibus (GEO) databases. The target protein-protein interaction network and enrichment analysis were performed to investigate the hub genes and presumptive mechanisms. Molecular docking and molecular dynamics simulations were used to verify the stability and interaction between the key chemical constituents of SHG and COVID-19 protein targets. RESULTS: Forty-five chemical constituents of SHG were identified along with 131 corresponding therapeutic targets, including hub genes such as HSP90AA1, MMP9, CXCL8, PTGS2, IFNG, DNMT1, TYMS, MDM2, HDAC3 and ABCB1. Functional enrichment analysis indicated that SHG mainly acted on the neuroactive ligand-receptor interaction, calcium signaling pathway and cAMP signaling pathway. Molecular docking showed that the key constituents had a good affinity with the severe acute respiratory syndrome coronavirus 2 protein targets. Molecular dynamics simulations indicated that ginsenoside Rg4 formed a stable protein-ligand complex with helicase. CONCLUSION Multiple components of SHG regulated multiple targets to inhibit virus invasion and cytokine storm through several signaling pathways; this provides a scientific basis for clinical applications and further experiments.
Humans ; Molecular Docking Simulation ; Ligands ; Network Pharmacology ; Drugs, Chinese Herbal/chemistry* ; Medicine, Chinese Traditional ; COVID-19 Drug Treatment

OBJECTIVE: To evaluate the effects of auricular acupoint bloodletting (AB) and auricular acupressure (AA) on sleep quality and the levels of melatonin (MT), glutamic acid (Glu), and γ -aminobutyric acid (GABA) in college students with primary insomnia, and to explore the possible mechanism. METHODS: Totally 74 college students at Hebei University of Chinese Medicine with primary insomnia were selected from October 2019 to October 2020. All patients were assigned to AB+AA group (37 cases, received combination of AB and AA) and AA group (37 cases, received only AA on the same acupoints) by a random number table. Each group was treated twice a week for 4 weeks. The Pittsburgh Sleep Quality Index (PSQI) score, Chinese medicine (CM) syndrome score, total effective rate, serum concentrations of MT, Glu, and GABA, and Glu/GABA ratio were compared between the two groups after treatment and at follow-up. The safety of therapy was also evaluated. RESULTS: After 4-week treatment, the total scores of PSQI, each PSQI component score, and the CM syndrome scores in both groups all decreased (P<0.05); the serum MT concentrations in both groups all increased (P<0.05). The concentrations of Glu and GABA in the AB+AA group were significantly higher than those in the AA group after treatment (P<0.05). However, there was no significant difference in the ratio of Glu/GABA in both groups before and after treatment (P>0.05). At follow-up, the CM syndrome score in the AB+AA group was significantly lower than that in the AA group (P<0.05). There was no significant difference between the two groups in total effective rates and adverse events (P>0.05). CONCLUSIONS Both AB+AA and AA can relieve insomnia symptoms, but a stronger long-term effect were observed for AB+AA. AB+AA can promote the secretion of MT, increase the levels of Glu and GABA more effective than AA, and regulate their imbalance, and thus it may be benificial for treating insomnia.
Humans ; Acupressure ; Acupuncture Points ; Bloodletting ; Sleep Initiation and Maintenance Disorders/therapy* ; Sleep Quality ; Syndrome ; Students ; gamma-Aminobutyric Acid

Background::Systemic lupus erythematosus (SLE) is a multisystem autoimmune disease characterized by complex and various clinical manifestations. The study aimed to analyze clinical features and cerebral magnetic resonance imaging (MRI) changes of hyperintense white matter (WM) lesions in SLE patients.Methods::This was a retrospective study based on a consecutive cohort of 1191 SLE patients; 273 patients for whom cerebral MRI data were available were enrolled to assess hyperintense WM lesions associated with SLE. Patients were assigned to two groups, ie, with or without hyperintense WM lesions. The MRI assessment showed that the hyperintense WM lesions could be classified into three categories: type A, periventricular hyperintense WM lesions; type B, subcortical hyperintense WM lesions; and type C, multiple discrete hyperintense WM lesions. The clinical and MRI characteristics were analyzed. Factors related to hyperintense WM lesions were identified by multivariate logistic regression analysis.Results::Among the 273 SLE patients with available cerebral MRI scans, 35.9% (98/273) had hyperintense WM lesions associated with SLE. The proportions of types A, B, and C were 54.1% (53/98), 11.2% (11/98), and 92.9% (91/98), respectively. Fifty-one percents of the patients showed an overlap of two or three types. Type C was the most common subgroup to be combined with other types. Compared with those without hyperintense WM lesions, the patients with hyperintense WM lesions were associated with neuropsychiatric SLE (NPSLE), lupus nephritis (LN), hypertension, and hyperuricemia ( P = 0.002, P = 0.018, P = 0.045, and P = 0.036, respectively). Significantly higher rates of polyserous effusions and cardiac involvement were found in the patients with hyperintense WM lesions ( P = 0.029 and P = 0.027, respectively), and these patients were more likely to present with disease damage ( P < 0.001). In addition, the patients with hyperintense WM lesions exhibited a higher frequency of proteinuria ( P = 0.009) and higher levels of CD8 + T cells ( P = 0.005). In the multivariate logistic analysis, hyperuricemia and higher CD8 + T cells percentages were significantly correlated with hyperintense WM lesions in SLE patients ( P= 0.019; OR 2.129, 95% confidence interval [CI] 1.313-4.006 and P < 0.001; OR 1.056, 95% CI 1.023-1.098, respectively). Conclusions::Hyperintense WM lesions are common in SLE patients and significantly associated with systemic involvement, including NPSLE, LN, polyserous effusions, cardiac involvement, and disease damage. Hyperuricemia and a higher number of CD8 + T cells were independent factors associated with hyperintense WM lesions in SLE.

OBJECTIVES: To investigate the effects of injury time, postmortem interval (PMI) and postmortem storage temperature on mRNA expression of glycoprotein non-metastatic melanoma protein B (Gpnmb), and to establish a linear regression model between Gpnmb mRNA expression and injury time, to provide aimed at providing potential indexes for injury time estimation. METHODS: Test group SD rats were anesthetized and subjected to blunt contusion and randomly divided into 0 h, 4 h, 8 h, 12 h, 16 h, 20 h and 24 h groups after injury, with 18 rats in each group. After cervical dislocation, 6 rats in each group were collected and stored at 0 ℃, 16 ℃ and 26 ℃, respectively. The muscle tissue samples of quadriceps femoris injury were collected at 0 h, 12 h and 24 h postmortem at the same temperature. The grouping method and treatment method of the rats in the validation group were the same as above. The expression of Gpnmb mRNA in rat skeletal muscle was detected by RT-qPCR. The Pearson correlation coefficient was used to evaluate the correlation between Gpnmb mRNA expression and injury time, PMI, and postmortem storage temperature. SPSS 25.0 software was used to construct a linear regression model, and the validation group data was used for the back-substitution test. RESULTS: The expression of Gpnmb mRNA continued to increase with the prolongation of injury time, and the expression level was highly correlated with injury time (P<0.05), but had little correlation with PMI and postmortem storage temperature (P>0.05). The linear regression equation between injury time (y) and Gpnmb mRNA relative expression (x) was y=0.611 x+4.489. The back-substitution test proved that the prediction of the model was accurate. CONCLUSIONS The expression of Gpnmb mRNA is almost not affected by the PMI and postmortem storage temperature, but is mainly related to the time of injury. Therefore, a linear regression model can be established to infer the time of injury.
Animals ; Rats ; Glycoproteins ; Linear Models ; Melanoma ; Membrane Glycoproteins/genetics* ; Postmortem Changes ; Rats, Sprague-Dawley ; RNA, Messenger/metabolism* ; Time Factors