1.Mechanism of Herbal Cake-separated Moxibustion in Improving Neuroimmune Inflammation in Rats with Chronic Fatigue Syndrome by Interfering TLR4/MyD88/NF-κB Pathway
Chuntao ZHAI ; Yawei HOU ; Linjuan SHI ; Yixiao WANG ; Wei LI ; Yuefeng TIAN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(4):140-149
ObjectiveTo explore the mechanism of herbal cake-separated moxibustion using the classical formula Xiaoyaosan in alleviating neuroimmune inflammatory responses in chronic fatigue syndrome (CFS) rats, based on the regulation of the toll-like receptor 4 (TLR4)/myeloid differentiation factor 88 (MyD88)/nuclear transcription factor-κB (NF-κB) signaling pathway. MethodsFifty SPF-grade SD rats aged 6-8 weeks were randomly divided into five groups: Normal group, model group, sham herbal cake moxibustion group, Chinese medicine intragastric administration group, and herbal cake-separated moxibustion group, with 10 rats in each group. Except for the normal group, all other groups underwent a 21-day modeling process, followed by behavioral testing. The herbal cake-separated moxibustion and sham herbal cake moxibustion groups received interventions at the Shenque (CV8), Guanyuan (CV4), Zusanli (ST36), and Qimen (LR14) acupoints. The Chinese medicine intragastric administration group was treated with a Xiaoyaosan suspension via gavage. Behavioral tests were conducted after 10 days of continuous intervention. Serum levels of interleukin (IL)-1β, IL-6, and tumor necrosis factor-α (TNF-α), as well as hippocampal levels of IL-1β, IL-6, TNF-α, and NF-κB, were detected by enzyme-linked immunosorbent assay (ELISA). Morphological changes in the hippocampus were observed using hematoxylin-eosin (HE) staining. Real-time quantitative polymerase chain reaction (Real-time PCR) was used to detect mRNA expression levels of TLR4, MyD88, and NF-κB in the hippocampus. Western blot analysis was performed to detect the relative expression levels of TLR4, MyD88, NF-κB, and p65 proteins in the hippocampus. ResultsCompared with the normal group, the model group showed a significant decrease in upright times during the open field test (P<0.01), as well as significant reductions in total movement distance, resting time, and center region duration (P<0.01). In the tail suspension test, immobility time increased (P<0.01), and struggle times decreased (P<0.01). Serum and hippocampal levels of IL-1β, IL-6, and TNF-α, as well as hippocampal NF-κB levels and TLR4, MyD88, and NF-κB mRNA expression, were significantly elevated (P<0.01). After treatment, compared with the model group, the total movement distance and upright times in the open field test were significantly increased in all treatment groups (P<0.01), while resting time and center region duration were notably prolonged (P<0.05, P<0.01). Immobility time in the tail suspension test was significantly shortened (P<0.01), and struggle times significantly increased (P<0.05). Serum and hippocampal levels of IL-1β, IL-6, TNF-α, hippocampal NF-κB levels, and TLR4 and NF-κB mRNA expression were significantly reduced (P<0.05, P<0.01). Compared with the sham herbal cake moxibustion group, the herbal cake-separated moxibustion group showed a significant extension in center region duration during the open field test (P<0.05) and a significant increase in upright times (P<0.01). In the tail suspension test, immobility time was reduced (P<0.01), and struggle times increased (P<0.01). Serum TNF-α levels in the Chinese medicine intragastric administration group were significantly reduced (P<0.01), while serum IL-6 levels, as well as hippocampal levels of IL-1β, TNF-α, NF-κB, and TLR4, MyD88, and NF-κB mRNA expression, were significantly decreased in both the Chinese medicine intragastric administration group and the herbal cake-separated moxibustion group (P<0.05, P<0.01). Compared with the Chinese medicine intragastric administration group, the herbal cake-separated moxibustion group exhibited significantly increased upright times in the open field test (P<0.01). In the tail suspension test, immobility time was reduced (P<0.01), and struggle times increased (P<0.01). Serum IL-1β, hippocampal TNF-α levels, and TLR4, MyD88, and NF-κB mRNA expression were significantly decreased (P<0.05, P<0.01). ConclusionHerbal cake-separated moxibustion effectively improves fatigue and memory function in CFS rats, regulates neuroimmune inflammatory responses, and its mechanism may be related to the modulation of the TLR4/MyD88/NF-κB signaling pathway.
2.Development and validation of a prognostic nomogram model for patients with the lower third and abdominal oesophageal adenocarcinoma
Zhengshui XU ; Dandan LIU ; Jiantao JIANG ; Ranran KONG ; Jianzhong LI ; Yuefeng MA ; Zhenchuan MA ; Jia CHEN ; Minxia ZHU ; Shaomin LI
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(02):201-207
Objective To establish an individualized nomogram model and evaluate its efficacy to provide a possible evaluation basis for the prognosis of lower third and abdominal part of oesophageal adenocarcinoma (EAC). Methods Lower third and abdominal part of EAC patients from 2010 to 2015 were chosen from the SEER Research Plus Database (17 Regs, 2022nov sub). The patients were randomly allocated to the training cohort and the internal validation cohort with a ratio of 7∶3 using bootstrap resampling. The Cox proportional hazards regression analysis was used to determine significant contributors to overall survival (OS) in EAC patients, which would be elected to construct the nomogram prediction model. C-index, calibration curve and receiver operating characteristic (ROC) curve were performed to evaluate its efficacy. Finally, the efficacy to evaluate the OS of EAC patients was compared between the nomogram prediction model and TNM staging system. Results In total, 3945 patients with lower third and abdominal part of EAC were enrolled, including 3475 males and 470 females with a median age of 65 (57-72) years. The 2761 patients were allocated to the training cohort and the remaining 1184 patients to the internal validation cohort. In the training and the internal validation cohorts, the C-index of the nomogram model was 0.705 and 0.713, respectively. Meanwhile, the calibration curve also suggested that the nomogram model had a strong capability of predicting 1-, 3-, and 5-year OS rates of EAC patients. The nomogram also had a higher efficacy than the TNM staging system in predicting 1-, 3-, and 5-year OS rates of EAC patients. Conclusion This nomogram prediction model has a high efficiency for predicting OS in the patients with lower third and abdominal part of EAC, which is higher than that of the current TNM staging system.
3.Multimodal investigation of stress-induced RNA-brain covariance and its association with depression vulnerability
Yun LIU ; Xijuan XIA ; Kehan YAN ; Yang JI ; Yifeng LUO ; Zhihong CAO ; Yuefeng LI
Chinese Journal of Behavioral Medicine and Brain Science 2025;34(9):790-797
Objective:To explore the RNA expression and alterations in brain structure in individuals who have experienced stressful life events (SLE), as well as the correlation patterns between them and their association with the occurrence of depression.Methods:Prospectively, a total of 80 SLE subjects were recruited from the psychiatry and psychology clinic of the Jiangsu University Affiliated Yixing Hospital between January 2021 and December 2022, with 16 normal controls (NC) enrolled concurrently. The 17 items Hamilton depression scale (HAMD-17) and social readjustment rating scale (SRRS) were used to assess depressive symptoms and stress levels. RNA sequencing information of peripheral blood and imaging data at baseline were collected. Based on whether depression occurred during the 2-year follow-up period, SLE subjects were divided into the SLE-depression group ( n=15) and the SLE-non-depression group ( n=65). Differentially expressed genes (DEGs) were screened using differential analysis and protein-protein interaction (PPI) networks. Fractional anisotropy (FA) of white matter tracts and gray matter volume (GMV) were extracted using tract-based spatial statistics and voxel-based morphometry.Using analysis of variance compared inter-group differences in gene expression, GMV and white matter FA values. Partial correlation analysis was used to explore correlations between DEGs, altered GMV and white matter microstructure. Gene set enrichment analysis (GSEA) was performed on key genes to identify potential biological pathways. Propensity score matching constructed sensitivity subgroups to verify result robustness. Results:The SLE-depression group showed significantly higher SRRS and HAMD-17 scores at baseline and at the end of follow-up compared to the SLE-non-depression group and the NC group ( H=47.773, 35.427, 41.114, all P<0.05). Expression levels of IL-10 (2.12±0.28, 2.43±0.44), EZH2 (2.11±0.43, 2.45±0.51), NCAM1 (3.60±0.30, 3.03±0.39), CD3E (4.95±0.37, 4.57±0.48), CCK (3.29±0.28, 3.02±0.42), and CX3CR1 (5.55±0.40, 5.91±0.34) were significantly different between the SLE-depression group and SLE-non-depression group( F=5.549~28.371, all P<0.05). Compared with the SLE-non-depression group, the SLE-depression group exhibited significantly lower FA values in the genu of the corpus callosum (0.29±0.04, 0.31±0.04) and the left uncinate fasciculus (0.31±0.02, 0.33±0.02), as well as significantly smaller GMV in the right hippocampus (0.29±0.07, 0.33±0.06), bilateral middle frontal gyrus (left: 0.27±0.05, 0.31±0.05; right: 0.28±0.06, 0.32±0.06), right insula (0.36±0.03, 0.38±0.04), and left precentral gyrus (0.19±0.04, 0.24±0.05) ( F=4.593-12.064, all P<0.05, FDR correction). GMV in the right anterior cingulate and paracingulate gyri was significantly larger than that in the SLE-non-depression group (0.34±0.05, 0.29±0.06) ( F=6.704, P=0.034, FDR correction). Partial correlation analysis revealed significantly stronger correlations between hub DEGs and altered brain regions in the SLE-depression group ( r=0.017-0.801) compared to the SLE-non-depression group ( r=0.002-0.382), with a statistically significant difference ( U=629, P<0.001; Cliff's Delta=0.454). GSEA indicated that the aforementioned genes were primarily involved in pathways including the ribosome, spliceosome, ribosome biogenesis in eukaryotes, and neuroactive ligand-receptor interaction. Sensitivity analysis confirmed that the above results remained statistically significant after balancing sample sizes (all P<0.05). Conclusion:The SLE-depression group showed specific RNA expression and brain structure alterations compared to the SLE-non-depression group, and the correlation between RNA and brain structure was significantly enhanced in the SLE-depression group. This suggests that the correlation between genes and brain structure in the SLE population may be related to their susceptibility to depression.
4.Study on Chemical Constituents and Fingerprints of Hedysari Radix Praeparata Cum Melle and Vinegar Processed Curcumae Rhizoma before and after Compatibility
Yuefeng LI ; Fenyu DOU ; Zhuanhong ZHANG ; Ruilong LYU ; Mengna CHAI ; Dingcai MA ; Maomao WANG ; Zhe WANG ; Xingke YAN
Chinese Journal of Information on Traditional Chinese Medicine 2025;32(5):141-147
Objective Through studying the chemical composition changes before and after the compatibility of Hedysari Radix Paeparata Cum Melle(HRPCM)-vinegar processed Curcumae Rhizoma(VPCR);To discuss the significance of the compatibility of HRPCM and VPCR;To establish the fingerprints before and after their compatibility.Methods ZORBAX Eclipse Plus C18 column was used;acetonitrile-0.01%phosphoric acid water was set as mobile phase,with gradient elution;column temperature was 30℃;detection wavelength was 214 nm;sample injection was 10 μL,which was used to investigate the content difference of major chemical components such as vanillic acid,calycosin-O-β-D-glucopyranoside,ononin,calycosin,onocerin,curdione,cincumol and germacrone,and establish the fingerprint of HRPCM,VPCR and HRPCM-VPCR.Results HPLC chromatographic conditions were established for the determination of 8 components in HRPCM-VPCR.Meanwhile,fingerprints were established before and after the compatibility of HRPCM-VPCR.26 common peaks were identified,among which 11 components such as vanillic acid were derived from HRPCM,14 components such as curcuma zedoariae were derived from VPCR,and 1 component was shared by both.Conclusion The material basis of the compatibility of HRPCM-VPCR differs from that of HRPCM and VPCR.The content of most chemical components decreases while the content of some components increases.The established HPLC method for content determination and fingerprint is simple,stable and reproducible,which can be used to evaluate and control the quality of HRPCM and VPCR.
5.Multimodal investigation of stress-induced RNA-brain covariance and its association with depression vulnerability
Yun LIU ; Xijuan XIA ; Kehan YAN ; Yang JI ; Yifeng LUO ; Zhihong CAO ; Yuefeng LI
Chinese Journal of Behavioral Medicine and Brain Science 2025;34(9):790-797
Objective:To explore the RNA expression and alterations in brain structure in individuals who have experienced stressful life events (SLE), as well as the correlation patterns between them and their association with the occurrence of depression.Methods:Prospectively, a total of 80 SLE subjects were recruited from the psychiatry and psychology clinic of the Jiangsu University Affiliated Yixing Hospital between January 2021 and December 2022, with 16 normal controls (NC) enrolled concurrently. The 17 items Hamilton depression scale (HAMD-17) and social readjustment rating scale (SRRS) were used to assess depressive symptoms and stress levels. RNA sequencing information of peripheral blood and imaging data at baseline were collected. Based on whether depression occurred during the 2-year follow-up period, SLE subjects were divided into the SLE-depression group ( n=15) and the SLE-non-depression group ( n=65). Differentially expressed genes (DEGs) were screened using differential analysis and protein-protein interaction (PPI) networks. Fractional anisotropy (FA) of white matter tracts and gray matter volume (GMV) were extracted using tract-based spatial statistics and voxel-based morphometry.Using analysis of variance compared inter-group differences in gene expression, GMV and white matter FA values. Partial correlation analysis was used to explore correlations between DEGs, altered GMV and white matter microstructure. Gene set enrichment analysis (GSEA) was performed on key genes to identify potential biological pathways. Propensity score matching constructed sensitivity subgroups to verify result robustness. Results:The SLE-depression group showed significantly higher SRRS and HAMD-17 scores at baseline and at the end of follow-up compared to the SLE-non-depression group and the NC group ( H=47.773, 35.427, 41.114, all P<0.05). Expression levels of IL-10 (2.12±0.28, 2.43±0.44), EZH2 (2.11±0.43, 2.45±0.51), NCAM1 (3.60±0.30, 3.03±0.39), CD3E (4.95±0.37, 4.57±0.48), CCK (3.29±0.28, 3.02±0.42), and CX3CR1 (5.55±0.40, 5.91±0.34) were significantly different between the SLE-depression group and SLE-non-depression group( F=5.549~28.371, all P<0.05). Compared with the SLE-non-depression group, the SLE-depression group exhibited significantly lower FA values in the genu of the corpus callosum (0.29±0.04, 0.31±0.04) and the left uncinate fasciculus (0.31±0.02, 0.33±0.02), as well as significantly smaller GMV in the right hippocampus (0.29±0.07, 0.33±0.06), bilateral middle frontal gyrus (left: 0.27±0.05, 0.31±0.05; right: 0.28±0.06, 0.32±0.06), right insula (0.36±0.03, 0.38±0.04), and left precentral gyrus (0.19±0.04, 0.24±0.05) ( F=4.593-12.064, all P<0.05, FDR correction). GMV in the right anterior cingulate and paracingulate gyri was significantly larger than that in the SLE-non-depression group (0.34±0.05, 0.29±0.06) ( F=6.704, P=0.034, FDR correction). Partial correlation analysis revealed significantly stronger correlations between hub DEGs and altered brain regions in the SLE-depression group ( r=0.017-0.801) compared to the SLE-non-depression group ( r=0.002-0.382), with a statistically significant difference ( U=629, P<0.001; Cliff's Delta=0.454). GSEA indicated that the aforementioned genes were primarily involved in pathways including the ribosome, spliceosome, ribosome biogenesis in eukaryotes, and neuroactive ligand-receptor interaction. Sensitivity analysis confirmed that the above results remained statistically significant after balancing sample sizes (all P<0.05). Conclusion:The SLE-depression group showed specific RNA expression and brain structure alterations compared to the SLE-non-depression group, and the correlation between RNA and brain structure was significantly enhanced in the SLE-depression group. This suggests that the correlation between genes and brain structure in the SLE population may be related to their susceptibility to depression.
6.Predictive study of brain gray matter volume combined with regional homogeneity on the alleviation of post-traumatic stress disorder in bereaved parents who lost their only child
Chensi LI ; Yifeng LUO ; Zhihong CAO ; Yuefeng LI ; Jiyuan GE ; Qingyue LAN ; Rongfeng QI ; Luo'an WU ; Li ZHANG ; Guangming LU
Chinese Journal of Behavioral Medicine and Brain Science 2025;34(10):879-884
Objective:To investigate the predictive value of multimodal magnetic resonance imaging (MRI) techniques in assessing symptom remission of post-traumatic stress disorder (PTSD) of bereaved parents who lost their only child.Methods:In this prospective study, 34 parents with PTSD resulting from the loss of the only child were followed-up for 2 years. Based on the PTSD diagnostic status at the end of the follow-up, participants were divided into the remission group and the persistent group.R 3.6.1 and SPSS 20.0 software were used for statistical analysis.Baseline clinical data and neuroimaging findings were compared between the two groups. Logistic regression and LASSO regression analyses were used to identify independent predictors of PTSD symptom remission. The predictive performance of these factors was evaluated by receiver operating characteristic (ROC) curve analysis.Results:Initial screening with univariate Logistic regression and LASSO regression revealed that regional homogeneity (ReHo) in the left middle temporal gyrus, the combined predictive value based on ReHo, and the integrated predictive value combining gray matter volume (GMV) and ReHo (GMV-ReHo predictor) were significant factors influencing symptom remission (all P<0.05). Multivariate Logistic regression further demonstrated that the GMV-ReHo predictor retained independent predictive significance ( P<0.05), with ROC curve analysis showing an area under the curve (AUC) of 0.979 (95% CI=0.935-0.996, P<0.001) for its ability to predict PTSD remission. Notably, a combined model incorporating both the scores of the clinician administered PTSD scale (CAPS) and the GMV-ReHo predictor achieved an enhanced predictive performance, yielding an AUC of 0.984 (95% CI=0.952-0.998, P<0.001). Conclusion:The GMV-ReHo predictor effectively identifies symptom remission in PTSD resulting from the loss of the only child.
7.Correlation of hippocampal subfield volumes and structural covariance network alterations with memory function in individuals with subjective cognitive decline
Chengmin ZHOU ; Ju ZHANG ; Weiyan JIA ; Jinxin WANG ; Yuefeng LI ; Zhihong CAO ; Yifeng LUO
Chinese Journal of Behavioral Medicine and Brain Science 2025;34(6):495-502
Objective:To investigate the differences in hippocampal subfield volumes and structural covariance network between participants with subjective cognitive decline (SCD) and healthy individuals, and to analyze the correlations of the volumes of the different subfields and altered covariance brain regions with memory function.Methods:A total of 57 SCD individuals(SCD group) and 44 normal controls(NC group) participants were assessed for memory function using composite scores from the auditory verbal learning test (AVLT) and the Wechsler memory scale visual reproduction (VR) test from June 2022 to October 2023.T1-weighted structural magnetic resonance imaging (MRI) data were collected from all participants, and hippocampal subfields, cortical regions, and subcortical nuclei were segmented using FreeSurfer to measure the gray matter volume of each structure. A structural covariance network was constructed based on the correlation of gray matter volumes across regions. Statistical analysis was performed using R 4.3.1 software. Inter-group differences in hippocampal subfield volumes were compared using multivariate analysis of covariance. Differences in structural covariance connectivity between groups were assessed using Z-test, while network topology differences were compared through permutation testing. Finally, partial correlation analysis was used to examine correlation of the volumes of the differential hippocampal subfields and covariance brain regions with memory function. Results:The SCD group exhibited significantly lower years of education, AVLT-immediate score, AVLT-delayed score, VR-immediate score, VR-delayed score, and memory function Z-score compared to the NC group ( t=2.064, 3.888, 2.622, 3.222, 4.761, 5.184, all P<0.05). The volumes of the right subiculum((387.75±55.20)mm 3, (352.70±70.25)mm 3), left presubiculum((263.12±38.52)mm 3, (239.79±46.02)mm 3), left subiculum((388.12±49.34)mm 3, (351.74±67.30)mm 3) and left CA1((571.01±80.01)mm 3, (526.51±98.80)mm 3) in the SCD group were smaller than the corresponding volumes in NC group ( F=9.139, 8.039, 11.207, 7.266, all P<0.05, FDR correction). Differences in structural covariance connectivity were found between the SCD and NC groups in the following pairs: right CA1-right subiculum, right CA1-left subiculum, right CA3-left parasubiculum and right hippocampus-amygdala transition area-left subiculum ( Z=-3.848, -3.896, -3.597, -3.895, all P<0.05, FDR correction).Partial correlation analysis revealed that in the SCD group, the volume of the left subiculum ( r=0.359, P=0.007), left CA1 ( r=0.430, P=0.001), right entorhinal cortex ( r=0.296, P=0.029), right middle temporal gyrus ( r=0.361, P=0.007), right parahippocampal gyrus ( r=0.313, P=0.021)were positively correlated with the total memory function score. Conclusion:Hippocampal subfields atrophy, as well as alterations in structural covariance network, have been found in SCD individuals. Furthermore, the decline in memory function may be closely associated with atrophy in hippocampal subfields and structurally covariant regions.
8.Effect of dexmedetomidine mixed with ropivacaine on postoperative sleep quality in patients undergoing upper abdominal surgery with OSTAPB
Yuefeng SUN ; Zhijie DENG ; Luheng YE ; Xinglian LI ; Su LIU ; Shanshan ZHU
The Journal of Practical Medicine 2025;41(7):1030-1035
Objective To investigate the effect of dexmedetomidine combined with ropivacaine on postop-erative sleep quality in patients undergoing upper abdominal surgery following Oblique Subcostal Transversus Abdominis Plane Block(OSTAPB).Methods A total of 140 patients who underwent gastric surgery at the Affiliated Hospital of Xuzhou Medical University between September 2024 and November 2024 were enrolled.According to the random number table method,they were randomly allocated into two groups:the simple subcostal transversus abdominis plane block group(Group A)and the dexmedetomidine combined with subcostal transversus abdominis plane block group(Group B),with 70 patients in each group.The study compared the Asymptomatic Sleep Distur-bance Scale(AIS)scores and Self-rating Anxiety Scale(SAS)scores on the night before surgery,AIS scores on the night after surgery and the following day,the amount of remifentanil used during surgery,and the cumulative num-ber of patient-controlled analgesia(PCA)button presses within 3 days postoperatively.Additionally,the Numeric Rating Scale(NRS)pain scores at 2 h,6 h,12 h,24 h,and 48 h post-surgery,as well as the Quality of Recovery-15(QoR-15)scores on the night of surgery and the second day post-surgery,were evaluated.Results There were no significant differences in anxiety levels or subjective sleep quality scores between the two groups prior to the opera-tion(P>0.05).Additionally,there was no significant difference in the usage of remifentanil between Group A and Group B(P>0.05).The NRS scores for pain differed significantly between the two groups within the first 48 hours post-operation(P<0.05);however,no significant difference was observed in NRS scores between the two groups after 24 hours during rest.Furthermore,the number of patient-controlled analgesia(PCA)activations in Group B was significantly lower than that in Group A at 12 hours post-operation(P<0.05).Lastly,both the QoR-15 and sleep quality were significantly higher in Group B compared to Group A(P<0.05).Conclusion Dexmedetomidine combined with ropivacaine for subcostal transversus abdominis plane block not only provides superior postoperative analgesia compared to ropivacaine alone but also enhances patients' sleep quality and recovery quality on the night following surgery,thereby contributing to improved overall postoperative recovery.
9.Alterations of individual metabolic brain network properties in patients with mild cognitive impairment and their correlations with cognitive function
Hu XU ; Siya WANG ; Fengling XU ; Xingyu LIU ; Zhihong CAO ; Yifeng LUO ; Yuefeng LI
Chinese Journal of Neuromedicine 2025;24(6):572-579
Objective:To investigate the alterations of individual metabolic brain network properties in patients with mild cognitive impairment (MCI) and their correlations with cognitive function.Methods:One hundred and five participants from Alzheimer's Disease Neuroimaging Initiative (ADNI) database enrolled from March 2012 to February 2016 were chosen, including 61 MCI patients and 44 normal controls (NC). Cognitive assessments, including mini-mental state examination (MMSE), auditory verbal learning test (AVLT), trail making test (TMT), and semantic verbal fluency (SVF) score, were performed in both groups; differences of above scores and clinical data between the participants from the two groups were compared. T1-weighted imaging and fluorodeoxyglucose positron emission tomography (FDG-PET) images were collected in both groups; individual metabolic brain networks were constructed based on differences in effect sizes between brain regions and network properties were calculated. Spatial correlation analysis was used to compare the correlations of metabolic brain networks at the individual and group levels. General linear model was employed to compare the differences in network properties between the two groups. Partial correlation analysis was used to examine the correlations of differential network properties with cognitive function in MCI patients. A support vector machine (SVM) classification model was constructed based on individual metabolic brain network properties, and receiver operating characteristic (ROC) curve was used to explore the diagnostic value of this SVM classification model in MCI.Results:(1) Compared with the NC group, the MCI group had significantly lower MMSE and AVLT-immediate recall scores, and longer TMT-A completion time ( P<0.05). (2) Spatial correlation analysis revealed a positive correlation between individual metabolic brain networks and group-level metabolic brain networks in patients of the MCI group ( r=0.825, P<0.001). No significant differences in global network properties were noted between the two groups ( P>0.05). Compared with the NC group, the MCI group significantly decreased degree centrality in the left A8vl, right A39c, and right V5/MT+ regions, increased degree centrality in the left anterior cuneus, decreased nodal efficiency in the left A8vl, right V5/MT+, and right caudal hippocampus regions, increased nodal shortest path length and nodal clustering coefficient in the left A8vl region ( P<0.05). (3) The degree centrality at the A8vl of ventral part of the left middle frontal gyrus and nodal efficiency in right caudal hippocampus region were positively correlated with AVLT-immediate recall scores ( r=0.331, P=0.010; r=0.282, P=0.030), nodal efficiency in the left A8vl region was negatively correlated with TMT-A completion time ( r=-0.470, P<0.001), and nodal efficiency in the left A8vl region was positively correlated with SVF score ( r=0.263, P=0.044). (4) Area under the curve of SVM classification model in diagnosing MCI was 0.880 (95% CI: 0.813-0.945, P<0.001), with an accuracy rate of 0.790. Conclusions:Patients with MCI have alterations in individual metabolic brain network properties, among which the degree centrality and nodal efficiency of some nodes are closely related to cognitive function changes. Models constructed based on individual metabolic brain network properties can help to effectively diagnose MCI.
10.Interactive effects of loss of the only child and childhood trauma on brain structure and function
Jiayan YIN ; Yifeng LUO ; Zhihong CAO ; Yuefeng LI ; Jiyuan GE ; Qingyue LAN ; Rongfeng QI ; Luoan WU ; Li ZHANG ; Guangming LU
Chinese Journal of Neuromedicine 2025;24(10):1025-1035
Objective:To investigate the interactive effects of loss of the only child and childhood trauma on brain structure, function, and structure-function coupling, and to analyze their association with clinical symptom.Methods:A total of 112 parents who lost their only child and participated in the psychological aid project organized by Local Civil Affairs Department in Sunan aear of Jiangsu Province in China from April 2021 to July 2021 and 36 healthy controls recruited from the community during the same period were selected. Based on childhood trauma questionnaire scores, parents who had lost their only child were divided into those with childhood trauma (group A, n=55) and those without childhood trauma (group B, n=57); similarly, the healthy controls were divided into a group with childhood trauma (group C, n=12) and a group without childhood trauma (group D, n=24). All participants were evaluated by clinical scales such as Hamilton Depression Scale (HAMD), Hamilton Anxiety Scale (HAMA), and Mini-Mental State Examination (MMSE). MRI 3D-T1 structural images and resting-state functional magnetic resonance imaging data were collected; gray matter volume (GMV) and degree centrality (DC) were calculated by standardized image preprocessing procedure, and ratio of DC to GMV within each voxel was computed to obtain the structure-function coupling map. A two-factor analysis of variance was used to analyze the independent effect and interactive effect of loss of the only child and childhood trauma on GMV, DC, and DC/GMV coupling value. Spearman rank correlation analysis was used to evaluate the associations of above indicators in brain regions with significant difference in independent effect and interactive effect with clinical scale scores. Results:(1) Compared with the participants without childhood trauma (group B+group D), the participants with childhood trauma (group A+group C) showed significantly reduced GMV in the left middle temporal gyrus and right dorsolateral superior frontal gyrus (voxel-level P<0.01, cluster-level P<0.05, Gaussian random field [GRF] corrected). A significant interactive effect of loss of the only child and childhood trauma on GMV in the right precuneus was observed (voxel-level P<0.01, cluster-level P<0.05, GRF corrected). (2) Compared with the healthy controls, parents who had lost their only child exhibited significantly increased DC in the left middle frontal gyrus (voxel-level P<0.01, cluster-level P<0.05, GRF corrected). Compared with participants without childhood trauma, participants with childhood trauma showed significantly increased DC in the right thalamus (voxel-level P<0.01, cluster-level P< 0.05, GRF corrected). A significant interactive effect of loss of the only child and childhood trauma on DC in the left dorsolateral superior frontal gyrus was observed (voxel-level P<0.01, cluster-level P<0.05, GRF corrected). (3) Compared with the healthy controls, parents who had lost their only child showed significantly decreased DC/GMV coupling value in the left middle frontal gyrus (voxel-level P<0.01, cluster-level P<0.05, GRF corrected). Compared with participants without childhood trauma, participants with childhood trauma showed significantly increased DC/GMV coupling value in the right thalamus (voxel-level P<0.01, cluster-level P<0.05, GRF corrected). A significant interactive effect of loss of the only child and childhood trauma on DC/GMV coupling value in the left dorsolateral superior frontal gyrus was observed (voxel-level P<0.01, cluster-level P<0.05, GRF corrected). (4) Correlation analysis revealed that GMV in the right precuneus with significant interactive effect of loss of the only child and childhood trauma was positively correlated with MMSE score ( r s=0.317, P=0.010, Bonferroni corrected). GMV in the left middle temporal gyrus with significant independent effect of childhood trauma was positively correlated with both HAMD score and HAMA score ( r s=0.362, P=0.006; r s= 0.349, P=0.008, Bonferroni corrected). Conclusion:Loss of the only child and childhood trauma can interact to jointly affect the brain structure, function, and structure-function coupling; and some of these brain structure alterations are closely associated with clinical symptoms.

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