BACKGROUND:Intestinal acute graft-versus-host disease is one of the most aggressive complications after allogeneic hematopoietic stem cell transplantation with high lethality.How to improve intestinal inflammation and regulate autophagy by applying traditional Chinese medicine in order to treat intestinal acute graft-versus-host disease is a worthwhile research issue nowadays. OBJECTIVE:To investigate the mechanism of Huangqintang modulating intestinal flora for the treatment of intestinal acute graft-versus-host disease. METHODS:CB6F1 mice were irradiated with 60Co X radiation at a total dose of 8 Gy,and then single nucleated cell suspensions(bone marrow cells+splenocytes)from Balb/c H-2d mice were injected into the tail vein in order to prepare a model of intestinal acute graft-versus-host disease.These samples were randomly divided into the model group and the high-,moderate-,and low-dose Huangqintang groups.After modeling,the model,high-,moderate-,and low-dose groups received different doses of Huangqintang or an equal volume of saline by continuous gavage for 14 days.Clinical acute graft-versus-host disease grading,and survival time was recorded.Small intestinal tissues from each group were stained with hematoxylin and eosin for small intestinal mucosal pathology scoring.The intestinal flora of mice in each group was detected using 16S rDNA sequencing.Autophagy-related markers were detected using immunofluorescence,immunohistochemistry,and PCR. RESULTS AND CONCLUSION:(1)Compared with the model group,the survival time of mice was significantly prolonged(P<0.01);the clinical acute graft-versus-host disease scores were significantly reduced(P<0.01);the pathological grading scores of the small intestinal mucosa were significantly diminished(P<0.01);the levels of the small intestinal tissue inflammatory factors tumor necrosis factor-α,interleukin-1β,and interleukin-6,were significantly decreased(P<0.01);the structural integrity of the small intestinal mucosal epithelium was partially restored in mice after the intervention of moderate and high-dose Huangqintang.(2)The study of intestinal flora found that compared with the model group,the pro-inflammatory strain Enterococcus was significantly reduced(P<0.05),while beneficial bacteria such as Clostridium_innocuum and Rhodococcus,a pro-autophagy bacterium,were significantly elevated(P<0.05)in the moderate-dose Huangqintang group.(3)Compared with the model group,the autophagy markers were significantly elevated in the moderate-dose Huangqintang group(P<0.05);under transmission electron microscopy,the number of autophagic vacuoles of moderate-dose Huangqintang group increased significantly.(4)The results showed that Huangqintang significantly reduced the abundance of conditionally pathogenic bacteria and the level of inflammatory factors in small intestinal tissues,and increased the relative abundance of beneficial bacteria and promoted the expression of autophagy in the small intestinal mucosa,which resulted in a significant improvement of intestinal symptoms in mice with acute graft-versus-host disease.

Background Prenatal chronic psychological stress may increase the risk of allergic diseases in children, and eczema is the most common allergic disease in children, the pathogenesis of which is not yet fully understood. Objective To preliminarily clarify the changes in offspring intestinal flora after chronic stress exposure during pregnancy in rats that increases offspring immune imbalance and eczema susceptibility. Methods Thirty SPF-grade adult female SD rats were selected and randomly divided into a model group and a control group (n=15). Sixteen male rats were randomly divided into a model mating group and a control mating group (n=8). A 28-day chronic unpredictable mild stress (CUMS) model during pregnancy was established. On the 7th day of stress, male and female rats were caged in a ratio of 3:1. Blood samples were collected from female rats in each group via angular vein on the 1st day before stress, and on the 7th, 14th, 21st, and 28th days after stress. The content of plasma corticosterone during pregnancy was determined by enzyme-linked immunosorbent assay (ELISA). For the offspring rats, an eczema model was constructed using 2,4-dinitrochlorobenzene (DNCB). The number of scratching times of the offspring rats within 5 min was recorded. The offspring rats were divided into 4 groups: DNCB-CUMS group (MM), DNCB-control group (MC), solvent control-CUMS group (CM), and blank control group (CC), with 8 rats in each group. The eczema was induced once every 3 days, and the induction period was 12 d. The expression level of immunoglobulin E (IgE) in the serum of offspring rats after the eczema induction experiment were determined by ELISA. The concentrations of tumor necrosis factor-α (TNF-α), interferon-γ (IFN-γ), interleukin-2 (IL-2), interleukin-4 (IL-4), and interleukin-13 (IL-13) in the serum were quantified by multi-parameter flow cytometry. The composition and abundance of intestinal microbiota in the feces of offspring rats were detected by 16S rRNA high-throughput sequencing technology. Results The plasma corticosterone concentrations in the model group were higher than those in the control group on the 7th and 21st days of stress (P<0.05). On the 14th and 21st days of stress, the 1% sucrose preference percentages of female rats in the model group were lower than that in the control group. On the 7th, 14th, and 21st days of stress, the horizontal movement scores of female rats in the model group and the vertical movement scores on the 7th and 14th days were lower than those in the control group (P<0.05). After 6, 9, and 12 d of model building, the scratching frequencies in the MC group and MM group were significantly higher than those in the CC group and CM group (P<0.05). Moreover, there were differences in the contents of cytokines including IFN-γ, IL-2, TNF-α, IL-4, IL-13, and IgE among the offspring rat groups (P<0.05). The CM group and MM group led to an increase in the contents of TNF-α, IL-4, IL-13, and IgE cytokines (P<0.05), while the MM group caused a decrease in the contents of IFN-γ and IL-2 (P<0.05). After the eczema induction experiment, the α-diversity analysis showed that the Simpson index and Shannon index in the CM were higher than those in the CC (P<0.05), indicating that CUMS during the pregnancy of female rats could increase the species abundance of their offspring. The abundances of Prevotella and Lactobacillus in the CM group decreased (P<0.05). Conclusion Intestinal dysbiosis in offspring due to chronic prenatal psychological stress, which may be one of the mechanisms linking maternal stress to immune imbalance and increased susceptibility to eczema in offspring.

Background During pregnancy, negative emotions such as anxiety and depression may induce cortisol disruption. Cortisol can be transmitted to the fetus through the placental barrier, thereby affecting the neurodevelopment of the offspring. Objective To investigate the relationship between placental cortisol, maternal depression during pregnancy, and neurodevelopment of 3-month-old infants. Methods From September 2022 to September 2023, 171 pregnant women ordered routine prenatal checks at the obstetrics outpatient department of a tertiary hospital in Ningxia were selected using a prospective cohort design. After providing informed consent, these women participated in a questionnaire survey that covered general individual characteristics, prenatal depression, and sleep quality. At birth, placental samples were collected to measure cortisol levels using ELISA kits. Follow-up assessments on the neurodevelopmental of 3-month-old infants were conducted using the Warning Sign for Children Mental and Behavioral Development. LASSO regression analysis was conducted to screen the influencing factors of depression during pregnancy. Huber regression analysis was then applied to assess potential linear relationship between depression during pregnancy and placental cortisol levels. Log-binomial regression was used to analyze the linear relationships between cortisol levels and neurodevelopmental delay in 3-month-old infants. Additionally, a mediation effect model was fitted using R 4.3.3 to assess possible mediating role of cortisol in the association between prenatal depression and neurodevelopmental delay in 3-month-old infants. Results The positive rate of prenatal depression was 33.33%. Nine factors affecting prenatal depression were identified by LASSO regression, including rural residence, high school education or above, extroverted personality characteristics, moderate early pregnancy reactions, baby sex expectation, prenatal anxiety, family dysfunction, exposure to stressful life events during pregnancy, and moderate prenatal sleep quality. The Huber regression model showed a positive linear correlation between prenatal depression and placental cortisol (P<0.05). With or without controlling confounding factors, the results of log-binomial regression modeling showed that cortisol levels were associated with a reduced risk of neurodevelopmental delay in 3-month-old infants (crude model: RR=0.988, 95%CI: 0.9768, 0.9996, P＜0.05; adjusted model: RR=0.988, 95%CI: 0.9764, 0.9993, P＜0.05). A mediating effect of placental cortisol between prenatal depression and the risk of neurodevelopmental delay in 3-month-old offspring was found statistically significant (P=0.045), accounting for 67.0% of the total effect. Conclusion Prenatal depression is associated with elevated placental cortisol levels, and higher cortisol levels are found to be related to a lower risk of neurodevelopmental delay in infants. Placental cortisol mediates the relationship between prenatal depression and infant neurodevelopment.

Background Job burnout and depressive symptoms are prevalent among occupational populations, with a close relationship between them. Sleep quality, as a potential mediating factor, significantly affects the mental health of workers. Objective To explore the relationship between job burnout, sleep quality, and depressive symptoms, and determine whether sleep quality mediates the relationship between job burnout and depressive symptoms. Methods From April 25 to May 1, 2024, this study employed cluster sampling to conduct a questionnaire survey among individuals engaged in various occupations across five cities in the Ningxia Hui Autonomous Region. The questionnaires included socio-demographic information, as well as the Chinese Maslach Burnout Inventory (CMBI), the Pittsburgh Sleep Quality Index (PSQI), and the Patient Health Questionnaire-9 (PHQ-9) for assessing burnout, sleep quality, and depressive symptoms, respectively. Out of the 4106 questionnaires distributed, a total of 3837 questionnaires were valid, and the valid recovery rate was 93.45%. The distribution among demographic variables in burnout, sleep quality and depressive symptoms were statistically analyzed. A binary logistic regression model was used for multifactor correlation analysis; Pearson correlation was used to test the correlation between burnout, sleep quality, and depressed mood. Modelling and mediated effect path mapping were performed using Amos 24.0 software. Results The postive rate of occupational burnout in the workers was 97.49% (3741/3837), the positive rate of poor sleep quality was 66.77% (2526/3837), and the positive rate of depressive symptoms was 75.68% (2904/3837). There were statistically significant differences in depressive symptoms by ages, shift types, working years, marital status, smoking habits, drinking habits, and exercising frequency (P < 0.05). The logistic model indicated that working years, drinking habits, job burnout, and overall sleep quality were significant factors influencing the occurrence of depressive symptoms (P < 0.05). The correlation analysis revealed positive correlations between depressive symptom scores and job burnout scores (r=0.045, P < 0.01), between depressive symptom scores and sleep quality scores (r=0.480, P < 0.01), and between job burnout scores and sleep quality scores (r=0.054, P < 0.01). Furthermore, the indirect effect of job burnout on depressive symptoms through sleep quality was 0.100 (95%CI: 0.204, 0.252; P < 0.01). Conclusion Job burnout and sleep quality are significant factors associated with the occurrence of depressive symptoms among occupational populations, and sleep quality plays a partial mediating role in depressive symptoms associated with job burnout. This finding may provide a scientific basis for developing intervention strategies to control depressive symptoms among workers.

Objective:To discuss the influencing factors of angina pectoris in the patients with diabetes mellitus(DM),to construct a Bayesian network model to explore the network relationships among the influencing factors,and to predict the risk of angina pectoris in the patients with DM.Methods:Based on the UK Biobank(UKB)database,the Logistic regression aralysis model was used to screen the influencing factors of angina pectoris in the patients with DM.The taboo search algorithm was used for structure learning,and the Bayesian parameter estimation method was used for parameter learning to construct the Bayesian network model.Results:A total of 22 712 DM patients were included.The influencing factors of angina pectoris in the patients with DM included 14 variables:gender,age,body mass index(BMI),triglycerides(TG),total cholesterol(TC),glycated hemoglobin(HbA1c),hypertension,maternal smoking around delivery,smoking status,alcohol consumption,regular exercise,insomnia,sleep duration,and childhood relative body size(P<0.05).A Bayesian network model was constructed with 15 nodes and 22 directed edges.Among them,age,HbA1c,hypertension,regular exercise,BMI,and sleep duration were directly associated with the occurrence of angina pectoris in the patients with DM,while gender,smoking status,alcohol consumption,TC,TG,insomnia,childhood relative body size,and maternal smoking around delivery were indirectly associated with the occurrence of angina pectoris in the patients with DM.Conclusion:Age,HbA1c,hypertension,regular exercise,BMI,and sleep duration are direct influencing factors of angina pectoris in the patients with DM.Controlling HbA1c,blood pressure,and BMI levels,engaging in regular exercise,and maintaining appropriate sleep duration are beneficial for reducing the risk of angina pectoris in the patients with DM.

Objective:To screen the Alzheimer's disease(AD)-related genes and construct its diagnostic model using bioinformatics technology and machine learning(ML)algorithms,to discuss the immunological characteristics of AD patients,and to provide novel biomarkers for AD diagnosis.Methods:The AD-related gene expression dataset GSE125583 was downloaded from the Gene Expression Omnibus(GEO)database.Differentially expressed genes(DEGs)were identified through differential analysis.Gene Ontology(GO)functional enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analyses were performed to explore the biological functions and signaling pathways of DEGs.A protein-protein interaction(PPI)network was constructed,and hub genes were screened using Cytoscape software combined with three ML algorithms:Least Absolute Shrinkage and Selection Operator(LASSO),eXtreme Gradient Boosting(XGBoost),and Random Forest(RF).The screened hub genes were utilized to build an AD diagnostic model via RF,followed by feature importance ranking.The model's efficacy and key genes were evaluated using a test set.Single-sample gene set enrichment analysis(ssGSEA)was used for immune cell infiltration analysis between AD group and control group.Results:Differential analysis identified 1 287 DEGs.The GO functional enrichment analysis results revealed that DEGs were primarily involved in biological functions related to neural signaling,synapses,and vesicles.KEGG signaling pathway enrichment analysis indicated significant enrichment of DEGs in ion transport,neurotransmitter,and ligand-gated channel pathways.Nine overlapping hub genes were screened by the three ML algorithms.In the AD diagnostic model,the top four key genes with highest diagnostic performance were adenylate cyclase-activating polypeptide 1(ADCYAP1),brain-derived neurotrophic factor(BDNF),platelet-derived growth factor receptor β(PDGFRB),and C-X-C motif chemokine receptor 4(CXCR4),with corresponding area under the curve(AUC)values of 0.852,0.795,0.820,and 0.756,respectively.The model achieved an AUC of 0.828,accuracy of 81.25%,sensitivity of 84.40%,and specificity of 71.43%.The immune cell infiltration analysis results demonstrated higher infiltration of macrophages,monocytes,natural killer(NK)cells,and lymphocytes in AD tissue.Among these,NK/natural killer T(NKT)cells and plasmacytoid dendritic cells showed significant correlations with the four key genes(P<0.05).Conclusion:The feature genes screened based on bioinformatics and ML exhibit diagnostic potential for AD.Genes such as ADCYAP1 may serve as potential biomarkers for AD diagnosis,offering significant implications for early prevention and treatment.

Objective:To investigate the clinical value of prenatal ultrasound in assessing fetal low-lying conus medullaris and prognostic factors.Methods:Prenatal ultrasound images and pregnancy outcomes were retrospectively analyzed for 54 pregnant women with fetal conus medullaris position below the third lumbar vertebra (L3) level detected by prenatal ultrasound at Chongqing Health Center for Women and Children from May 2017 to January 2024. Based on postnatal follow-up results (clinical symptoms, imaging data, or surgical findings within 5-year old), they were divided into normal (42 cases) and abnormal (12 cases) groups. Basic clinical data were collected, including initial conus medullaris position at first diagnosis (conus medullaris at L3 level defined as 3, between L3 and L4 as 3.5, and so on; at first sacral vertebra as 6, second sacral vertebra as 7), and changes in conus medullaris position during prenatal ultrasound or MRI follow-up. Independent sample t-tests and Chi square tests were used to compare changes in conus medullaris position, tethered cord phenomenon, and presence of spinal masses between groups. Results:The initial conus medullaris position in the abnormal group was significantly lower than in the normal group (4.7±1.5 vs. 3.7±0.4, t=－3.75, P<0.001), and the proportion of rising to L3 or above in utero was lower than in the normal group [2/9 vs. 78.1% (25/32), χ2=9.76, P=0.002]. The abnormal group had higher proportions of tethered cord phenomenon [5/12 vs. 0.0% (0/42), χ2=19.29, P<0.001] and spinal masses [9/12 vs. 2.4% (1/42), χ2=32.62, P<0.001] compared to the normal group. Among the abnormal group children, eight underwent postoperative surgery (three with tethered cord and meningocele, four with tethered cord and lipoma, one with tethered cord, meningocele, and lipoma), with an overall good postoperative prognosis. Conclusion:Prenatal ultrasound enables dynamic monitoring of fetal conus position, while characteristic findings (tethered cord signs and spinal masses) help identify potential tethered cord syndrome, providing crucial evidence for comprehensive prenatal evaluation and early intervention.

Objective To differentiate disguised visual acuity,(VA)by analyzing discrepancies across diversified visual acuity tests.Methods Volunteers were recruited,and VA(V,and V2)was measured before and after the experiment.Volunteers independently selected an experimental VA(Vt)and were assigned to either the disguised group or the control group.A specially designed heterogeneous optotype chart and a single-optotype chart with variable test distances were used to measure VA(t1,t2,t3),while a standard logarithmic VA chart was used to measure VA(t4).Based on the maximum VA discrepancy(△t),t4 was classified as"real"(≤ 1 line),"disguised"(≥ 2 lines),or"suspicious"(＞1 and＜2 lines with anomaly).Results A total of 126 valid cases were collected,including 30 in the control group and 96 in the disguised group,with VA ranging from 0.2～1.5.All 88 opinions classified as"disguised"were from the disguised group,and all 29 classified as"real"were from the control group.Of the 7 cases deemed"suspicious,"6 were from the disguised group.The sensitivity,specificity,and overall diagnostic accuracy were 91.7％,96.7％(P＜0.0001),and 92.9％(P＜0.0001),respectively.In the disguised group,38 cases exhibited unexplained identifying anomalies.Conclusion A VA discrepancy of ≥ 2 lines is a reliable indicator for detecting disguised visual acuity.Identifying anomalies may serve as a novel and sensitive marker for recognizing visual disguise.

Objective To explore the environmental factors affecting the growth of Lonicera japonica Thunb.;To predict the suitable areas of L.japonica in China under current and future climate conditions.Methods Totally 2 553 pieces of L.japonica distribution information and 19 environmental factors were collected.MaxEnt model was used to screen the main environmental factors affecting the growth of L.japonica.Combined with ArcGIS 10.8 software,this article simulated the suitable area of L.japonica in our country under current and future climate conditions.Results The main environmental factors affecting the distribution of L.japonica were the lowest temperature in the coldest month,the average daily temperature range,the precipitation in the wettest quarter and the annual temperature range.Under the current climate conditions,the suitable area of L.japonica in China was about 318.29×104 km2,which was mainly distributed in central and southern China.Under the future climate scenario,the total suitable area would decrease.Conclusion This study predicted distribution of L.japonica resources and ecological suitability areas can provide theoretical basis for its wild cultivation,rational cultivation,and resource protection.

Objective:To investigate the role of Fem-1 homolog C(FEM1C)in breast cancer progression and elucidate its underlying regulat-ory mechanism.Methods:The expression of FEM1C in breast cancer tissues and cells were detected with qPCR.The binding of FEM1C to ELAVL1 protein was predicted with an online database and validated by CoIP analysis;and the binding of ELAVL1 protein to OPA1 mRNA was predicted by using the starBase database and validated by RIP analysis.Next,breast cancer cell MDA-MB-231 was transfected with FEM1C shRNA(sh-FEM1C)or overexpression vector(FEM1C)or/and ELAVL1 overexpression vector(ELAVL1)or/and OPA1 overexpression vector(OPA1),or treated with 100 μM Mdivi-1,an DRP1 inhibitor,or MYLS22,an OPA1 inhibitor.Finally,nude mice were injected with sh-FEM1C lentiviral vectors to construct xenograft tumor models,and tumor growth was monitored.Results:The expression of FEM1C was upregu-lated in breast cancer tissues(P<0.01).Silencing FEM1C inhibited the proliferation,induced apoptosis,promoted the expression of auto-phagy protein LC3 Ⅱ/Ⅰ,inhibited p62 protein expression,upregulated the protein level of PINK1 in mitochondrial,promoted the expres-sion of mitochondrial fission proteins DRP1 and MIEF2,and inhibited the expression of fusion proteins OPA1 and MFN1 in MDA-MB-231 cells(P<0.01).Mdivi-1 treatment inhibited DRP1 expression(P<0.01),but had no effect on cell viability(P>0.05);MYLS22 treatment inhibited OPA1 expression and counteracted the effect of FEM1C overexpression on MDA-MB-231 cells(P<0.01).Mechanistic studies revealed that FEM1C binds to ELAVL1 protein and promotes its expression(P<0.01);ELAVL1 protein stabilizes OPA1 mRNA by binding to it and upregu-lates OPA1 protein levels(P<0.01).Overexpression of OPA1 reversed the effect of FEM1C silencing on MDA-MB-231 cells(P<0.01).In vivo results showed that knockdown of FEM1C inhibited tumor growth in vivo(P<0.01).Conclusions:FEM1C promotes the stability of OPA1 mRNA by upregulation of ELAVL1 protein to promote mitochondrial fusion and inhibit autophagy,thereby promoting breast cancer progression.