Objective: To analyze the developmental trajectories of clustered health risk behaviors and their association with self-esteem and lonelinesss among junior high school students, so as to provide a reference for formulating comprehensive prevention and control measures of health risk behaviors among adolescents. Methods: In October 2023, 1 165 first year junior high school students from two schools of Jishou City in Hunan Province were selected by convenient sampling method for three follow up surveys (T1:October 2023; T2:April 2024; T3:October 2024). The Adolescent Health Risk Behavior Questionnaire, Rosenberg Self esteem Scale and Loneliness Scale were used to assess health risk behaviors, self esteem and loneliness, respectively. Latent growth curve modeling and latent growth mixture modeling were applied to analyze the developmental trajectories of clustered health risk behaviors among junior high school students. Logistic regression was used to analyze the association of the developmental trajectories of clustered health risk behaviors with self esteem and loneliness among junior high school students. Results: The overall developmental trajectories among junior high school students showed a declining trend (intercept=0.15, slope=-1.65, both P <0.05), with three heterogeneous categories:low risk improvement group ( n =862, 74.0%), moderate risk stable group ( n =260, 22.3%), and high risk deterioration group ( n =43, 3.7%). After adjusting the status of the left behind individuals，using the low risk improvement group as the reference category in multinomial Logistic regression analysis, results indicated that higher loneliness scores among junior high school students increased the risks of belonging to the moderate risk stable group ( OR=1.02, 95%CI =1.00- 1.04 ) and the high risk deterioration group ( OR=1.04, 95%CI =1.00-1.08), while higher self esteem scores reduced the risks of belonging to the moderate risk stable group ( OR=0.93, 95%CI =0.91-0.96) and the high risk deterioration group ( OR=0.88, 95%CI =0.83-0.94) (all P <0.05). Conclusions The overall trend of clustered health risk behaviors among junior high school students gradually improves, and the self esteem and loneliness are significant correlative factors. Targeted intervention measures should be developed for the junior high school students, with a focus on enhancing their self esteem and alleviating loneliness.

OBJECTIVE To identify the active components of Desmodium styracifolium （Osb.） Merr. extract （DME） against cholestatic liver injury （CLI）， and to verify its target and molecular mechanism， so as to provide scientific evidence for the clinical application of D.styracifolium （Osb.） Merr. and the development of new hepatoprotective agents.METHODS High-performance liquid chromatography was applied to establish fingerprints of 19 batches of DME， followed by similarity evaluation and identification of common peaks. An in vitro CLI model was constructed by lithocholic acid （LCA）-induced injury in HepG2 cells to evaluate the in vitro protective effect of DME against CLI. Spearman correlation analysis， grey relational analysis and partial least-squares regression analysis were adopted to investigate the spectrum-effect relationship of DME against CLI and preliminarily screen the core active components. Molecular docking and surface plasmon resonance technology were used to predict and verify the binding capacity between core active components and farnesoid X receptor （FXR）. qRT-PCR， Western blot and immunofluorescence staining tests were performed to validate the influences of core active components on the expression of molecules related to FXR/bile salt export pump （BSEP） pathway in CLI model cells.RESULTS A total of 12 common peaks were calibrated in the fingerprints of 19 batches of DME， and the similarity values were all above 0.990. Four common peaks were identified， namely peak 6 （schaftoside）， peak 7 （isoorientin）， peak 11 （isoschaftoside） and peak 12 （isovitexin）. DME at 80 μg/mL exerted the optimal protective effect on CLI-model cells， and the cell viability reached （75.66±4.60）% after 24 h of treatment. Spectrum-effect analysis revealed that schaftoside possessed the strongest correlation with the anti-CLI activity of DME and served as the core active component. Target prediction and validation results showed that the binding energy between schaftoside and FXR was －8.1 kcal/mol， and the equilibrium dissociation constant was 27.3 μmol/L. Mechanistic experiments demonstrated that 100 μmol/L schaftoside significantly elevated the expression levels of FXR and BSEP， and mRNA of their encoded genes Nr1h4 ， Abcb11 in CLI-model cells （ P ＜0.05）.CONCLUSIONS Schaftoside may be the core active component of DME against CLI， and its mechanism may be related to the activation of FXR/BSEP pathway.

The recombinant human thyroid-stimulating hormone (rhTSH) can be used for differentiated thyroid cancer (DTC) preparation before ¹³¹I therapy, and follow-up. Since its approval by the American Food and Drug Administration (FDA) in 1998, rhTSH has been clinically used in European countries, the United States, and other countries for nearly 30 years. In April 2024, China’s first independently developed rhTSH agent was approved. Based on clinical experience and evidence from domestic and international studies, an expert consensus on the application of rhTSH has been developed following thorough consultations among experts. The consensus offers evidence-based recommendations to guide the appropriate use of rhTSH in clinical practice.

Ischemic stroke (IS) is a prevalent neurological disorder often resulting in significant disability or mortality. Resveratrol, extracted from Polygonum cuspidatum Sieb. et Zucc. (commonly known as Japanese knotweed), has been recognized for its potent neuroprotective properties. However, the neuroprotective efficacy of its derivative, (E)-4-(3,5-dimethoxystyryl) quinoline (RV02), against ischemic stroke remains inadequately explored. This study aimed to evaluate the protective effects of RV02 on neuronal ischemia-reperfusion injury both in vitro and in vivo. The research utilized an animal model of middle cerebral artery occlusion/reperfusion and SH-SY5Y cells subjected to oxygen-glucose deprivation and reperfusion to simulate ischemic conditions. The findings demonstrate that RV02 attenuates neuronal mitochondrial damage and scavenges reactive oxygen species (ROS) through mitophagy activation. Furthermore, Parkin knockdown was found to abolish RV02's ability to activate mitophagy and neuroprotection in vitro. These results suggest that RV02 shows promise as a neuroprotective agent, with the activation of Parkin-mediated mitophagy potentially serving as the primary mechanism underlying its neuroprotective effects.
Animals ; Ubiquitin-Protein Ligases/genetics* ; Mitophagy/drug effects* ; Resveratrol/analogs & derivatives* ; Neuroprotective Agents/pharmacology* ; Humans ; Neurons/metabolism* ; Reactive Oxygen Species/metabolism* ; Ischemic Stroke/genetics* ; Male ; Quinolines/pharmacology* ; Mice ; Fallopia japonica/chemistry* ; Mitochondria/metabolism* ; Reperfusion Injury/metabolism* ; Rats ; Mice, Inbred C57BL ; Disease Models, Animal

Objective To investigate the relationship between serum platelet-activating factor (PAF) level, T cell immune function and disease activity in vitiligo patients. Methods A total of 102 patients with vitiligo treated in our hospital from July 18th, 2022 to July 26th, 2023 were enrolled as study subjects. According to VIDA score, the patients were divided into an advanced-stage group (n=54) and a stable stage group (n=49). PAF and T lymphocyte levels were compared between the two groups. Logistic regression analysis was performed to examine the relationship between PAF levels and disease activity, as well as their correlation with T cell subsets. Unconditional logistic regression modeling was employed to analyze the interaction between PAF levels and T cell subsets in disease activity. Results No significant difference was observed in CD3⁺ levels between advanced and stable stage vitiligo patients. PAF and CD8⁺ levels in advanced group were significantly higher than those in stable group, while CD4⁺ levles and CD4⁺/CD8⁺ ratios were significantly lower than those in stable group. When PAF level was 18.24 ng/L, the maximum Youden index reached 0.670, with corresponding sensitivity of 84.22% and specificity of 82.77%. The area under ROC curve AUC was 0.858. The intensity of association between PAF level and disease activity was nonlinear dose-response relationship. Among patients with VIDA score ≥1, significant differences were observed in both CD4⁺ and CD8⁺ levels across different PAF levels, and the CD4⁺/CD8⁺ ratios in vitiligo patients with different VIDA scores was significantly different. Interaction analysis revealed that after adjusting for confounding factors, the effect of PAF levels and T cell subsets on disease activity in vitiligo patients showed significant interaction in both additive model (RERI=4.674, 95%CI: 1.032~11.942; AP=0.763, 95%CI: 0.336~1.201; S=6.854, 95%CI: 1.904~16.520) and multiplicative model (OR=3.461, 95%CI: 1.365~8.713). Conclusion Serum PAF, CD4⁺, CD8⁺ and CD4⁺/CD8⁺ of vitiligo patients are closely related to disease activity, and PAF level interacts with T cell subsets (CD4⁺, CD8⁺, CD4⁺/CD8⁺) in the disease activity of vitiligo patients. PAF and T cell immune function may contribute to the occurrence and development of vitiligo, which could serve as clinical indicators of disease activity to guide timely management.
Humans ; Vitiligo/blood* ; Platelet Activating Factor/immunology* ; Male ; Female ; Adult ; Middle Aged ; Young Adult ; T-Lymphocytes/immunology* ; Adolescent ; T-Lymphocyte Subsets/immunology*

BACKGROUND:The immune-related pathogenesis of Alzheimer's disease is still unclear.Exploring the correlation between natural killer cells and cuproptosis mechanism in Alzheimer's disease patients through bioinformatics can provide a new direction for the study of the occurrence and development of Alzheimer's disease. OBJECTIVE:To screen the key genes related to cuproptosis of natural killer cells in peripheral blood of patients with Alzheimer's disease by bioinformatics analysis and verify them in clinical specimens. METHODS:The GEO online database was used to screen the transcriptome differentially expressed genes and natural killer cell related genes in the peripheral blood of patients with Alzheimer's disease,and intersected with the reported cuproptosis factors.Differentially expressed cuproptosis-related genes were obtained.Then RT-qPCR technology was used to verify the relative gene expression levels.The experimental samples were all from peripheral blood of hospitalized patients in the Department of Neurology of Anhui Provincial Hospital from 2021 to 2023,and 30 patients in the disease group and 20 in the control group were included according to the inclusion and exclusion criteria.The protein-protein interaction network was further constructed using the online GeneMANIA website.R language was used for immune infiltration analysis.Transcription factor prediction was conducted based on ENCODE database. RESULTS AND CONCLUSION:(1)The differential expression genes of peripheral blood transcriptome of Alzheimer's disease patients in GSE63060 data set,natural killer cell related genes in GSE168522 data set,and reported cuproptosis genes were used to screen and obtain four differentially expressed cuproptosis-related genes by using online Venn diagram tool,LASSO algorithm,and random forest machine learning methods:ferredoxin 1(FDX1),ATPase Cu2+transporting alpha polypeptide(ATP7A),pyruvate dehydrogenase El subunit beta(PDHB),and dihydrolipoamide succinyltransferase(DLST).(2)Clinical sample experiments showed that FDX1 and ATP7A were up-regulated in peripheral blood of patients with Alzheimer's disease(P<0.001),and were differentially expressed in different genotypes of apolipoprotein E4(P<0.01,P<0.001).The expression of PDHB and DLST in peripheral blood of patients with Alzheimer's disease was down-regulated(P<0.001),and there was no difference in apolipoprotein E4 genotypes(P>0.05).(3)Protein-protein interaction network found that 20 functional proteins were associated with key genes,and immunoinfiltration analysis showed that key genes were significantly associated with 12 immune cells(P<0.05 was considered to be relevant).(4)Bioinformatics analysis and experimental verification results suggest that FDX1,ATP7A,PDHB,and DLST are differentially expressed in Alzheimer's disease,may participate in the occurrence and development of Alzheimer's disease through the cuproptosis mechanism in peripheral blood natural killer cells,and also provide potential targets for the diagnosis and treatment of Alzheimer's disease.

Background: The immune system plays a critical role in the development and progression of osteoporosis and fractures. However, the causal relationships between antibody immune responses, immune cells, and these bone conditions remain unclear. This study aimed to explore these relationships using Mendelian randomization (MR) analysis. Methods: We collected complete blood count data from patients with fractures and healthy individuals and analyzed their differences. Then, we conducted a 2-sample, 2-step MR analysis to investigate the causal effects of antibody immune responses on osteoporosis and fractures, using inverse-variance weighted (IVW) as the primary method. We also explored whether immune cells mediate the pathway between antibodies and osteoporosis or fractures. Finally, we analyzed the functions and expression levels of key genes involved. Results: Overall, the fracture group exhibited increased white blood cell count, absolute neutrophil count, absolute monocyte count, platelet count, and their respective proportions, while absolute lymphocyte count, absolute eosinophil count, absolute basophil count, red blood cell count, and their proportions were decreased. We identified 44 causal relationships between antibodies and osteoporosis or fractures, with 7 supported by multiple MR methods, and 5 showing odds ratios significantly deviating from 1 in the IVW analysis. Epstein-Barr virus-related antibodies had a notable impact on osteoporosis and fractures. The human leukocyte antigen (HLA) gene family, particularly HLA-DPB1, emerged as a significant risk factor. However, immune cells were not found to mediate these effects. Conclusions This study elucidated the causal relationships between antibody immune responses, immune cells, and osteoporosis or fractures. The HLA gene family plays a crucial role in the interaction between antibodies and these bone conditions, with HLA-DPB1 identified as a key risk gene. Immune cells do not serve as mediators in this process. These findings provide valuable insights for future research.

Background: The immune system plays a critical role in the development and progression of osteoporosis and fractures. However, the causal relationships between antibody immune responses, immune cells, and these bone conditions remain unclear. This study aimed to explore these relationships using Mendelian randomization (MR) analysis. Methods: We collected complete blood count data from patients with fractures and healthy individuals and analyzed their differences. Then, we conducted a 2-sample, 2-step MR analysis to investigate the causal effects of antibody immune responses on osteoporosis and fractures, using inverse-variance weighted (IVW) as the primary method. We also explored whether immune cells mediate the pathway between antibodies and osteoporosis or fractures. Finally, we analyzed the functions and expression levels of key genes involved. Results: Overall, the fracture group exhibited increased white blood cell count, absolute neutrophil count, absolute monocyte count, platelet count, and their respective proportions, while absolute lymphocyte count, absolute eosinophil count, absolute basophil count, red blood cell count, and their proportions were decreased. We identified 44 causal relationships between antibodies and osteoporosis or fractures, with 7 supported by multiple MR methods, and 5 showing odds ratios significantly deviating from 1 in the IVW analysis. Epstein-Barr virus-related antibodies had a notable impact on osteoporosis and fractures. The human leukocyte antigen (HLA) gene family, particularly HLA-DPB1, emerged as a significant risk factor. However, immune cells were not found to mediate these effects. Conclusions This study elucidated the causal relationships between antibody immune responses, immune cells, and osteoporosis or fractures. The HLA gene family plays a crucial role in the interaction between antibodies and these bone conditions, with HLA-DPB1 identified as a key risk gene. Immune cells do not serve as mediators in this process. These findings provide valuable insights for future research.

Background: The immune system plays a critical role in the development and progression of osteoporosis and fractures. However, the causal relationships between antibody immune responses, immune cells, and these bone conditions remain unclear. This study aimed to explore these relationships using Mendelian randomization (MR) analysis. Methods: We collected complete blood count data from patients with fractures and healthy individuals and analyzed their differences. Then, we conducted a 2-sample, 2-step MR analysis to investigate the causal effects of antibody immune responses on osteoporosis and fractures, using inverse-variance weighted (IVW) as the primary method. We also explored whether immune cells mediate the pathway between antibodies and osteoporosis or fractures. Finally, we analyzed the functions and expression levels of key genes involved. Results: Overall, the fracture group exhibited increased white blood cell count, absolute neutrophil count, absolute monocyte count, platelet count, and their respective proportions, while absolute lymphocyte count, absolute eosinophil count, absolute basophil count, red blood cell count, and their proportions were decreased. We identified 44 causal relationships between antibodies and osteoporosis or fractures, with 7 supported by multiple MR methods, and 5 showing odds ratios significantly deviating from 1 in the IVW analysis. Epstein-Barr virus-related antibodies had a notable impact on osteoporosis and fractures. The human leukocyte antigen (HLA) gene family, particularly HLA-DPB1, emerged as a significant risk factor. However, immune cells were not found to mediate these effects. Conclusions This study elucidated the causal relationships between antibody immune responses, immune cells, and osteoporosis or fractures. The HLA gene family plays a crucial role in the interaction between antibodies and these bone conditions, with HLA-DPB1 identified as a key risk gene. Immune cells do not serve as mediators in this process. These findings provide valuable insights for future research.

Background: The immune system plays a critical role in the development and progression of osteoporosis and fractures. However, the causal relationships between antibody immune responses, immune cells, and these bone conditions remain unclear. This study aimed to explore these relationships using Mendelian randomization (MR) analysis. Methods: We collected complete blood count data from patients with fractures and healthy individuals and analyzed their differences. Then, we conducted a 2-sample, 2-step MR analysis to investigate the causal effects of antibody immune responses on osteoporosis and fractures, using inverse-variance weighted (IVW) as the primary method. We also explored whether immune cells mediate the pathway between antibodies and osteoporosis or fractures. Finally, we analyzed the functions and expression levels of key genes involved. Results: Overall, the fracture group exhibited increased white blood cell count, absolute neutrophil count, absolute monocyte count, platelet count, and their respective proportions, while absolute lymphocyte count, absolute eosinophil count, absolute basophil count, red blood cell count, and their proportions were decreased. We identified 44 causal relationships between antibodies and osteoporosis or fractures, with 7 supported by multiple MR methods, and 5 showing odds ratios significantly deviating from 1 in the IVW analysis. Epstein-Barr virus-related antibodies had a notable impact on osteoporosis and fractures. The human leukocyte antigen (HLA) gene family, particularly HLA-DPB1, emerged as a significant risk factor. However, immune cells were not found to mediate these effects. Conclusions This study elucidated the causal relationships between antibody immune responses, immune cells, and osteoporosis or fractures. The HLA gene family plays a crucial role in the interaction between antibodies and these bone conditions, with HLA-DPB1 identified as a key risk gene. Immune cells do not serve as mediators in this process. These findings provide valuable insights for future research.