Objectives: Maternal depression negatively affects depression and anxiety symptoms in the offspring. This study examined the association between maternal depression and their adolescent offspring depression and anxiety, as well as the mediating role of emotional trauma in determining the association. Methods: Participants were 237 mothers (46.08±5.00 years) and their adolescent offspring (16.54±1.51 years). The participants completed the Beck Depression Inventory-II, Early Trauma Inventory Self Report-Short Form, Center for Epidemiological Studies Depression Scale for Children, and the Screen for Children’s Anxiety Related Disorders. The mediating effect of emotional trauma on offspring was explored using mediation analysis. Results: Maternal depressive symptoms were significantly correlated with adolescent offspring traumatic experiences, as well as with their depressive and anxiety symptoms. Mediation analysis results showed that emotional trauma of offspring significantly mediated the effect of maternal depression on their depressive and anxiety symptoms. Conclusion Findings indicate that maternal depression was significantly associated with depressive and anxiety symptoms in adolescent offspring, mediated by their emotional trauma. Future research is needed to investigate pathways and intervention strategies to prevent the intergenerational transmission of emotional problems.

Objectives: Maternal depression negatively affects depression and anxiety symptoms in the offspring. This study examined the association between maternal depression and their adolescent offspring depression and anxiety, as well as the mediating role of emotional trauma in determining the association. Methods: Participants were 237 mothers (46.08±5.00 years) and their adolescent offspring (16.54±1.51 years). The participants completed the Beck Depression Inventory-II, Early Trauma Inventory Self Report-Short Form, Center for Epidemiological Studies Depression Scale for Children, and the Screen for Children’s Anxiety Related Disorders. The mediating effect of emotional trauma on offspring was explored using mediation analysis. Results: Maternal depressive symptoms were significantly correlated with adolescent offspring traumatic experiences, as well as with their depressive and anxiety symptoms. Mediation analysis results showed that emotional trauma of offspring significantly mediated the effect of maternal depression on their depressive and anxiety symptoms. Conclusion Findings indicate that maternal depression was significantly associated with depressive and anxiety symptoms in adolescent offspring, mediated by their emotional trauma. Future research is needed to investigate pathways and intervention strategies to prevent the intergenerational transmission of emotional problems.

Objectives: Maternal depression negatively affects depression and anxiety symptoms in the offspring. This study examined the association between maternal depression and their adolescent offspring depression and anxiety, as well as the mediating role of emotional trauma in determining the association. Methods: Participants were 237 mothers (46.08±5.00 years) and their adolescent offspring (16.54±1.51 years). The participants completed the Beck Depression Inventory-II, Early Trauma Inventory Self Report-Short Form, Center for Epidemiological Studies Depression Scale for Children, and the Screen for Children’s Anxiety Related Disorders. The mediating effect of emotional trauma on offspring was explored using mediation analysis. Results: Maternal depressive symptoms were significantly correlated with adolescent offspring traumatic experiences, as well as with their depressive and anxiety symptoms. Mediation analysis results showed that emotional trauma of offspring significantly mediated the effect of maternal depression on their depressive and anxiety symptoms. Conclusion Findings indicate that maternal depression was significantly associated with depressive and anxiety symptoms in adolescent offspring, mediated by their emotional trauma. Future research is needed to investigate pathways and intervention strategies to prevent the intergenerational transmission of emotional problems.

Background: Among gliomas, the most common primary malignant brain tumor, incidental gliomasaccount for 2.5%–5% of cases. The controversy over whether to pursue immediate treatment or adopt a wait-and-see approach remains, and more molecular and immunological evidence is needed for definitive treatment decisions. Methods: Total RNA sequencing (RNA-seq) data and single cell RNA sequencing (scRNA-seq)data were retrospectively analyzed to compare the molecular and immunological tumor microenvironment differences between incidental glioma and symptomatic glioma samples. These were classified using symptom data from The Cancer Genome Atlas (TCGA) and public dataset. Results: RNA-seq analysis of the GBMLGG dataset identified 343 genes upregulated in symp-tomatic glioma and 118 in incidental glioma, with 104 common genes upregulated in symptomatic glioma across both the TCGA and Chinese Glioma Genome Atlas (CGGA) datasets. Enrichment analysis revealed that these 104 genes in symptomatic glioma were significantly associated with immunological pathways. scRNA-seq analysis of glioma revealed 11 cell types, including T cells, myeloid cells, and oligodendrocytes, with the tumor necrosis factor (TNF) signaling pathway strongly influencing other cell types, particularly myeloid cells. Enrichment and survival analyses showed that TNF signaling is associated with temozolomide resistance and poorer prognosis in glioma patients. Conclusion The findings suggest that symptomatic glioma enhances inflammatory responseslinked to poor prognosis and chemoresistance. This supports the hypothesis that immediate treatment of incidental glioma may improve patient outcomes over a wait-and-see approach.

Background: Among gliomas, the most common primary malignant brain tumor, incidental gliomasaccount for 2.5%–5% of cases. The controversy over whether to pursue immediate treatment or adopt a wait-and-see approach remains, and more molecular and immunological evidence is needed for definitive treatment decisions. Methods: Total RNA sequencing (RNA-seq) data and single cell RNA sequencing (scRNA-seq)data were retrospectively analyzed to compare the molecular and immunological tumor microenvironment differences between incidental glioma and symptomatic glioma samples. These were classified using symptom data from The Cancer Genome Atlas (TCGA) and public dataset. Results: RNA-seq analysis of the GBMLGG dataset identified 343 genes upregulated in symp-tomatic glioma and 118 in incidental glioma, with 104 common genes upregulated in symptomatic glioma across both the TCGA and Chinese Glioma Genome Atlas (CGGA) datasets. Enrichment analysis revealed that these 104 genes in symptomatic glioma were significantly associated with immunological pathways. scRNA-seq analysis of glioma revealed 11 cell types, including T cells, myeloid cells, and oligodendrocytes, with the tumor necrosis factor (TNF) signaling pathway strongly influencing other cell types, particularly myeloid cells. Enrichment and survival analyses showed that TNF signaling is associated with temozolomide resistance and poorer prognosis in glioma patients. Conclusion The findings suggest that symptomatic glioma enhances inflammatory responseslinked to poor prognosis and chemoresistance. This supports the hypothesis that immediate treatment of incidental glioma may improve patient outcomes over a wait-and-see approach.

Background: Among gliomas, the most common primary malignant brain tumor, incidental gliomasaccount for 2.5%–5% of cases. The controversy over whether to pursue immediate treatment or adopt a wait-and-see approach remains, and more molecular and immunological evidence is needed for definitive treatment decisions. Methods: Total RNA sequencing (RNA-seq) data and single cell RNA sequencing (scRNA-seq)data were retrospectively analyzed to compare the molecular and immunological tumor microenvironment differences between incidental glioma and symptomatic glioma samples. These were classified using symptom data from The Cancer Genome Atlas (TCGA) and public dataset. Results: RNA-seq analysis of the GBMLGG dataset identified 343 genes upregulated in symp-tomatic glioma and 118 in incidental glioma, with 104 common genes upregulated in symptomatic glioma across both the TCGA and Chinese Glioma Genome Atlas (CGGA) datasets. Enrichment analysis revealed that these 104 genes in symptomatic glioma were significantly associated with immunological pathways. scRNA-seq analysis of glioma revealed 11 cell types, including T cells, myeloid cells, and oligodendrocytes, with the tumor necrosis factor (TNF) signaling pathway strongly influencing other cell types, particularly myeloid cells. Enrichment and survival analyses showed that TNF signaling is associated with temozolomide resistance and poorer prognosis in glioma patients. Conclusion The findings suggest that symptomatic glioma enhances inflammatory responseslinked to poor prognosis and chemoresistance. This supports the hypothesis that immediate treatment of incidental glioma may improve patient outcomes over a wait-and-see approach.

Systemic amyloidosis is characterized by the accumulation of insoluble proteins in tissues including heart, kidney, liver and any other organs. Light chain amyloidosis is the most common type of primary amyloidosis. And it is generally considered to be the plasma cell dysfunction. Given its pathogenesis, it may affect any organ system. Thus, clinical presentation is variable and delayed diagnosis is common. Given these diagnostic difficulties, we presented a systemic amyloidosis presented as liver dysfunction.

Background/Aims: We investigated the factors related to spleen length and the diagnostic accuracy of a model using spleen length corrected by related factors, for the prediction of varices needing treatment (VNT). Methods: Various prediction models for VNT including spleen length were analyzed in the cohort of compensated advanced chronic liver disease (cACLD), defined as liver stiffness (LS) ≥10 kPa in a recent study. The associated factors for spleen length were identified in healthy subjects to improve the prediction of VNT. Results: Among 1,218 cACLD patients, VNT was noted in 249 patients (20.4%). On multivariate analysis, longer spleen length, lower platelet count, and higher LS value were independent predictors for VNT (all p<0.001). In multivariate analysis of 1,041 healthy subjects, age (β=–0.027), sex (β=0.762), and body mass index (β=0.097) were found to be significant factors for spleen length (all p<0.001). Using the β values, the estimated spleen length was calculated. To improve the prediction of VNT, the ratio of measured and estimated spleen length was calculated. Based on binary regression analysis results, the LS value-spleen ratio to platelet score (LSRPS) was calcu-lated as follows: 0.027×LS value (kPa)+2.690×measured/estimated spleen ratio–0.011×platelet count (cells×10 9 /L)–4.215. The area under the receiver operating characteristic of the LSRPS for VNT was 0.820, which was significantly higher than 0.797 of LS value-spleen diameter to plateletratio score (LSPS) (p=0.006). Conclusions Spleen length is influenced by age, sex, and body mass index in the Asian population. The LSRPS using the measured/estimated spleen ratio had higher diagnostic accuracy than LSPS in predicting VNT in patients with cACLD.

Purpose: A critical indicator of the overall survival of patients with high-grade glioma is the successful isolation of tumor mesenchymal stem-like cells (tMSLCs), which play important roles in glioma progression. However, attempts to isolate tMSLCs from surgical specimens have not always been successful, and the reasons for this remain unclear. Considering that the amount of surgical high-grade glioma specimens varies, we hypothesized that larger surgical specimens would be better for tMSLC isolation. Materials and Methods: We assessed 51 fresh, high-grade glioma specimens and divided them into two groups according to the success or failure of tMSLC isolation. The success of tMSLC isolation was confirmed by plastic adherence, presenting antigens, tri-lineage differentiation, and non-tumorigenicity. Differences in characteristics between the two groups were tested using independent two sample t-tests, chi-square tests, or Kaplan-Meier survival analysis. Results: The mean specimen weights of the groups differed from each other (tMSLC-negative group: 469.9±341.9 mg, tMSLC positive group: 546.7±618.9 mg), but the difference was not statistically significant. The optimal cut-off value of specimen weight was 180 mg, and the area under the curve value was 0.599. Conclusion Our results suggested a minimum criterion for specimen collection, and found that the specimen amount was not deeply related to tMSLC detection. Collectively, our findings imply that the ability to isolate tMSLCs is determined by factors other than the specimen amount.

Purpose: A critical indicator of the overall survival of patients with high-grade glioma is the successful isolation of tumor mesenchymal stem-like cells (tMSLCs), which play important roles in glioma progression. However, attempts to isolate tMSLCs from surgical specimens have not always been successful, and the reasons for this remain unclear. Considering that the amount of surgical high-grade glioma specimens varies, we hypothesized that larger surgical specimens would be better for tMSLC isolation. Materials and Methods: We assessed 51 fresh, high-grade glioma specimens and divided them into two groups according to the success or failure of tMSLC isolation. The success of tMSLC isolation was confirmed by plastic adherence, presenting antigens, tri-lineage differentiation, and non-tumorigenicity. Differences in characteristics between the two groups were tested using independent two sample t-tests, chi-square tests, or Kaplan-Meier survival analysis. Results: The mean specimen weights of the groups differed from each other (tMSLC-negative group: 469.9±341.9 mg, tMSLC positive group: 546.7±618.9 mg), but the difference was not statistically significant. The optimal cut-off value of specimen weight was 180 mg, and the area under the curve value was 0.599. Conclusion Our results suggested a minimum criterion for specimen collection, and found that the specimen amount was not deeply related to tMSLC detection. Collectively, our findings imply that the ability to isolate tMSLCs is determined by factors other than the specimen amount.