Objective:To evaluate the clinical utility of machine learning model based radiomics in predicting high-risk molecular subtypes of lower-grade gliomas(LrGGs).Methods:This was a cross-sectional study. A total of 287 patients diagnosed with LrGGs in the First Hospital of Shanxi Medical University, Shanxi Provincial People′s Hospital, and the Third Hospital of Shanxi Medical University from January 2011 to September 2023 were retrospectively collected, including 166 males and 121 females; 114 cases of high-risk molecular subtypes and 173 cases of non-high-risk molecular subtypes. All patients were divided into 201 cases in the training set and 86 cases in the test set according to 7∶3 in simple randomized grouping method. All patients underwent contrast-enhanced T 1WI (CE-T 1WI) and T 2-weighted fluid-attenuated inversion recovery sequence imaging (T 2-FLAIR), and the imaging features of high-risk and non-high-risk molecular subtypes were analyzed. Analysis of variance, recursive feature elimination, and Kruskal-Wallis were used for radiomics feature screening, and a support vector machine (SVM) classifier was used to construct a radiomics-based classifier model. Univariate and multivariate logistic regression were used to analyze clinical variables independently influencing high-risk molecular subtypes of LrGGs to construct a clinical model; a combined model was developed by integrating radiomics labels and clinical variables. Receiver operating characteristic curve and area under the curve (AUC), calibration curve, and decision curve were used to compare the predictive performance of different models. Results:The patient′s age ( OR=1.042, 95% CI 1.018-1.068, P=0.001), pathological grade ( OR=2.270, 95% CI 1.212-4.311, P=0.011), MGMT methylation status ( OR=0.456, 95% CI 0.238-0.866, P=0.017), and ependymal involvement ( OR=7.335, 95% CI 2.929-18.370, P<0.001) were independent influencing factors for the high-risk molecular subtype of LrGGs, and a clinical model was developed based on these factors. An SVM model was constructed based on 12 radiomics features (3 radiomics features based on CE-T 1WI and 9 radiomics features based on T 2-FLAIR). The radiomics score of the probability output by the SVM model was combined with age, pathological grade, MGMT methylation status, and ependymal involvement to develop a combined model. The AUC values of the SVM model for predicting the high-risk molecular subtype of LrGGs were 0.824 and 0.859 in the training set and test set, respectively; the AUC values of the clinical model in the training set and test set were 0.759 and 0.721, respectively; and the AUC values of the combined model in the training set and test set were 0.823 and 0.815, respectively. The combined model had a high clinical net benefit. Conclusion:The machine learning MRI radiomics model can preoperatively predict high risk molecular subtypes of LGGrs, assist in individualized treatment decisions.

OBJECTIVE To explore the clinical efficacy of the Yushen Yangluan Formula in treating diminished ovarian reserve(DOR)with kidney essence deficiency based on mitochondrial energy metabolism and oxidative stress.METHODS A total of 70 pa-tients diagnosed with DOR due to kidney essence deficiency,who visited the gynecology department of Yueyang Hospital of Integrated Traditional Chinese and Western Medicine from September 2023 to June 2024,were selected.The patients were randomly divided into two groups according to the random number table method.The treatment group(35 cases)received the Yushen Yangluan Formula,while the control group(35 cases)received a Chinese herbal placebo,with treatment lasting for 3 months,and during the treatment pe-riod,one case dropped out from each group.Antral follicle count(AFC),traditional Chinese medicine(TCM)syndrome scores,and serum levels of anti-Mullerian hormone(AMH),follicle-stimulating hormone(FSH),luteinizing hormone(LH),estradiol(E2),re-active oxygen species(ROS),and adenosine triphosphate(ATP)levels were compared between the two groups.RESULTS After treatment,the TCM syndrome scores for kidney deficiency in both groups decreased compared to before treatment(P<0.05,P<0.01),with the experimental group showing greater improvement than the control group(P<0.01).Following treatment,the FSH levels in the experimental group decreased compared to before treatment(P<0.05),while AMH levels increased(P<0.05),and the antral follicle count(AFC)also increased significantly(P<0.01),with the experimental group outperforming the control group(P<0.05,P<0.01).After treatment,serum ROS levels in the experimental group decreased(P<0.01),and ATP levels increased(P<0.01),with the experimental group showing superior results compared to the control group(P<0.01).CONCLUSION Yushen Yangluan Formu-la can improve the ovarian function and TCM syndrome score of patients with DOR of kidney essence deficiency type,which may be re-lated to improving mitochondrial energy metabolism and reducing oxidative stress.

Objective:To evaluate the clinical utility of machine learning model based radiomics in predicting high-risk molecular subtypes of lower-grade gliomas(LrGGs).Methods:This was a cross-sectional study. A total of 287 patients diagnosed with LrGGs in the First Hospital of Shanxi Medical University, Shanxi Provincial People′s Hospital, and the Third Hospital of Shanxi Medical University from January 2011 to September 2023 were retrospectively collected, including 166 males and 121 females; 114 cases of high-risk molecular subtypes and 173 cases of non-high-risk molecular subtypes. All patients were divided into 201 cases in the training set and 86 cases in the test set according to 7∶3 in simple randomized grouping method. All patients underwent contrast-enhanced T 1WI (CE-T 1WI) and T 2-weighted fluid-attenuated inversion recovery sequence imaging (T 2-FLAIR), and the imaging features of high-risk and non-high-risk molecular subtypes were analyzed. Analysis of variance, recursive feature elimination, and Kruskal-Wallis were used for radiomics feature screening, and a support vector machine (SVM) classifier was used to construct a radiomics-based classifier model. Univariate and multivariate logistic regression were used to analyze clinical variables independently influencing high-risk molecular subtypes of LrGGs to construct a clinical model; a combined model was developed by integrating radiomics labels and clinical variables. Receiver operating characteristic curve and area under the curve (AUC), calibration curve, and decision curve were used to compare the predictive performance of different models. Results:The patient′s age ( OR=1.042, 95% CI 1.018-1.068, P=0.001), pathological grade ( OR=2.270, 95% CI 1.212-4.311, P=0.011), MGMT methylation status ( OR=0.456, 95% CI 0.238-0.866, P=0.017), and ependymal involvement ( OR=7.335, 95% CI 2.929-18.370, P<0.001) were independent influencing factors for the high-risk molecular subtype of LrGGs, and a clinical model was developed based on these factors. An SVM model was constructed based on 12 radiomics features (3 radiomics features based on CE-T 1WI and 9 radiomics features based on T 2-FLAIR). The radiomics score of the probability output by the SVM model was combined with age, pathological grade, MGMT methylation status, and ependymal involvement to develop a combined model. The AUC values of the SVM model for predicting the high-risk molecular subtype of LrGGs were 0.824 and 0.859 in the training set and test set, respectively; the AUC values of the clinical model in the training set and test set were 0.759 and 0.721, respectively; and the AUC values of the combined model in the training set and test set were 0.823 and 0.815, respectively. The combined model had a high clinical net benefit. Conclusion:The machine learning MRI radiomics model can preoperatively predict high risk molecular subtypes of LGGrs, assist in individualized treatment decisions.

OBJECTIVE To explore the clinical efficacy of the Yushen Yangluan Formula in treating diminished ovarian reserve(DOR)with kidney essence deficiency based on mitochondrial energy metabolism and oxidative stress.METHODS A total of 70 pa-tients diagnosed with DOR due to kidney essence deficiency,who visited the gynecology department of Yueyang Hospital of Integrated Traditional Chinese and Western Medicine from September 2023 to June 2024,were selected.The patients were randomly divided into two groups according to the random number table method.The treatment group(35 cases)received the Yushen Yangluan Formula,while the control group(35 cases)received a Chinese herbal placebo,with treatment lasting for 3 months,and during the treatment pe-riod,one case dropped out from each group.Antral follicle count(AFC),traditional Chinese medicine(TCM)syndrome scores,and serum levels of anti-Mullerian hormone(AMH),follicle-stimulating hormone(FSH),luteinizing hormone(LH),estradiol(E2),re-active oxygen species(ROS),and adenosine triphosphate(ATP)levels were compared between the two groups.RESULTS After treatment,the TCM syndrome scores for kidney deficiency in both groups decreased compared to before treatment(P<0.05,P<0.01),with the experimental group showing greater improvement than the control group(P<0.01).Following treatment,the FSH levels in the experimental group decreased compared to before treatment(P<0.05),while AMH levels increased(P<0.05),and the antral follicle count(AFC)also increased significantly(P<0.01),with the experimental group outperforming the control group(P<0.05,P<0.01).After treatment,serum ROS levels in the experimental group decreased(P<0.01),and ATP levels increased(P<0.01),with the experimental group showing superior results compared to the control group(P<0.01).CONCLUSION Yushen Yangluan Formu-la can improve the ovarian function and TCM syndrome score of patients with DOR of kidney essence deficiency type,which may be re-lated to improving mitochondrial energy metabolism and reducing oxidative stress.

Objective:To explore application research of intimacy enhancement therapy in the rehabilition of depression patients, and to provide reference for carrying out depression nursing care.Methods:This study was a randomized controlled trial. From September 2022 to September 2023, a total of 84 depression patients and spouse were selected by convenience sampling method and assigned to the experimental group and control group with 42 cases in each group using the random number table method from Nanfang Hospital, Southern Medical University. The control group applied with routine nursing, and the experimental group implemented intimacy enhancement therapy. Before and 8 weeks after intervention, Hamilton Depression Scale (HAMD-17), Hamilton Anxiety Scale (HAMA-17) and Symptom checklist-90 (SCL-90) were used for assessment.Results:Finally, 81 patients completed the study, including 39 in the experimental group, 13 males and 26 females, aged (36.18 ± 10.93) years old, and 42 in the control group, 17 males and 25 females, aged (38.76 ± 10.90) years old. Before intervention, there was no significant difference in HAMD-17, HAMA-17 and SCL-90 (all P>0.05). After 8 weeks of intervention, the scores of HAMD-17, HAMA-17 scores in the experimental group were (21.00 ± 4.49), (25.38 ± 5.16) points, which were lower than (23.76 ± 6.24), (28.48 ± 5.88) points in the control group; the scores of somatization, interpersonal sensitivity, compulsion, anxiety, depression, others, total SCL-90 in the experimental group were (1.25 ± 0.19), (0.69 ± 0.35), (1.40 ± 0.23), (1.17 ± 0.29), (1.18 ± 0.14), (1.22 ± 0.18), (119.69 ± 9.09) points, which were also lower than (1.82 ± 0.26), (1.53 ± 0.36), (1.69 ± 0.39), (1.88 ± 0.38), (1.73 ± 0.35), (1.31 ± 0.17), (146.19 ± 8.97) points of the control group, the differences were statistically significant ( t values were 2.05-13.20, all P<0.05). Conclusions:Intimacy enhancement therapy can effectively alleviate somatic symptoms and improve prognosis of patients with depression.

Brain metastases are the most common intracranial malignancies, and radiotherapy is an effective treatment of controlling the localized lesions. However, conventional radiotherapy techniques have their own shortcomings that limit the effectiveness of radiotherapy. Metastatic brain tumors are highly likely to recur or progress after treatment. Clinical studies have shown that arginine can penetrate the blood-brain barrier and subsequently improve the radiosensitization of metastatic brain tumors. In this article, the mechanisms underlying the effect of arginine on the radiosensitization of metastatic brain tumors by inhibition of tumor glycolytic metabolism, reduction of DNA damage repair and alteration of tumor hemodynamic parameters were reviewed, aiming to provide new ideas for clinical research and treatment of brain metastases.

OBJECTIVES: Ozone is widely applied to treat allergic skin diseases such as eczema, atopic dermatitis, and contact dermatitis. However, the specific mechanism remains unclear. This study aims to investigate the effects of ozonated oil on treating 2,4-dinitrochlorobenzene (DNCB)-induced allergic contact dermatitis (ACD) and the underling mechanisms. METHODS: Besides the blank control (Ctrl) group, all other mice were treated with DNCB to establish an ACD-like mouse model and were randomized into following groups: a model group, a basal oil group, an ozonated oil group, a FcεRI-overexpressed plasmid (FcεRI-OE) group, and a FcεRI empty plasmid (FcεRI-NC) group. The basal oil group and the ozonated oil group were treated with basal oil and ozonated oil, respectively. The FcεRI-OE group and the FcεRI-NC group were intradermally injected 25 µg FcεRI overexpression plasmid and 25 µg FcεRI empty plasmid when treating with ozonated oil, respectively. We recorded skin lesions daily and used reflectance confocal microscope (RCM) to evaluate thickness and inflammatory changes of skin lesions. Hematoxylin-eosin (HE) staining, real-time PCR, RNA-sequencing (RNA-seq), and immunohistochemistry were performed to detct and analyze the skin lesions. RESULTS: Ozonated oil significantly alleviated DNCB-induced ACD-like dermatitis and reduced the expressions of IFN-γ, IL-17A, IL-1β, TNF-α, and other related inflammatory factors (all P<0.05). RNA-seq analysis revealed that ozonated oil significantly inhibited the activation of the DNCB-induced FcεRI/Syk signaling pathway, confirmed by real-time PCR and immunohistochemistry (all P<0.05). Compared with the ozonated oil group and the FcεRI-NC group, the mRNA expression levels of IFN-γ, IL-17A, IL-1β, IL-6, TNF-α, and other inflammatory genes in the FcεRI-OE group were significantly increased (all P<0.05), and the mRNA and protein expression levels of FcεRI and Syk were significantly elevated in the FcεRI-OE group as well (all P<0.05). CONCLUSIONS Ozonated oil significantly improves ACD-like dermatitis and alleviated DNCB-induced ACD-like dermatitis via inhibiting the FcεRI/Syk signaling pathway.
Animals ; Mice ; Dinitrochlorobenzene/metabolism* ; Skin/metabolism* ; Cytokines/metabolism* ; Interleukin-17/metabolism* ; Tumor Necrosis Factor-alpha/metabolism* ; Dermatitis, Allergic Contact/pathology* ; Dermatitis, Atopic/chemically induced* ; Signal Transduction ; RNA, Messenger/metabolism* ; Mice, Inbred BALB C

Humans ; Cytomegalovirus ; Cytomegalovirus Infections ; Antigens, Viral ; Immunity ; Autoimmune Diseases ; CD8-Positive T-Lymphocytes

Objectives:To explore the microanatomy and functional MRI(fMRI) of arcuate fasciculus(AF) and superior longitudinal fasciculus(SLF),and to analyze their functions.Methods:Ten normal adult cadaveric head specimens (20 cerebral hemispheres) were fixed with 10% methanal at the Translational Research Institute for Neurological Disorders of the Wannan Medical College from February to December 2022.The Klingler fiber dissection technique was utilized to perform white matter fiber dissection,with a magnification ranging from 6 to 40.The study focused on the microanatomical structures of the AF and SLF,aiming to explore their relationships with deep brain fibers.Furthermore, six healthy adult volunteers who underwent fMRI of the brain were included.The collected diffusion tensor imaging (DTI) data were processed and integrated with the microanatomical findings for a comprehensive analysis.Results:After removing the gray matter of the cerebral cortex,the superficial U fibers were exposed.The long association fibers that beneath the U fibers were the AF and SLF,which were the main long association fibers in the superficial layers of the brain.The AF could be divided into dorsal and ventral parts,while the SLF could be divided into Ⅰ,Ⅱ,and Ⅲ.SLF Ⅰ lied within the upper bank of the cingulate sulcus,travels medial to the callosal sulcus.The SLF Ⅱ,Ⅲ,and the AF were located on the lateral surface of the brain.By removing the gray matter of the insular cortex and the extreme capsule,exposing the external capsule and claustrum.Subsequently,the AF and SLF Ⅱ,Ⅲ were dissected,revealing the corona radiata and sagittal stratum,along with other deep brain fibers.During the dissection,it was observed that there was a close connection between the AF,SLF Ⅱ,and the deep brain fibers.Furthermore,in the regions above the lateral fissure of the cerebral hemisphere,there was no direct connection of long association fibers between the gray matter cortex and the deep U fibers in the coronal plane.These findings were further supported by DTI studies.Conclusions:The AF and SLF are the major long association fibers that located in the superficial layers of the brain,and closely connect to the gray matter cortex and U fibers,even closely relate with deep brain fibers.In the regions above the lateral fissure of the hemisphere,only the AF and SLF Ⅱ and Ⅲ serve as superficial long association fibers in the anterior-posterior direction.These fibers are likely involved in the transmission of brain functional information between the top and bottom gray matter cortex in the coronal plane above the lateral fissure.

Objectives:To explore the microanatomy and functional MRI(fMRI) of arcuate fasciculus(AF) and superior longitudinal fasciculus(SLF),and to analyze their functions.Methods:Ten normal adult cadaveric head specimens (20 cerebral hemispheres) were fixed with 10% methanal at the Translational Research Institute for Neurological Disorders of the Wannan Medical College from February to December 2022.The Klingler fiber dissection technique was utilized to perform white matter fiber dissection,with a magnification ranging from 6 to 40.The study focused on the microanatomical structures of the AF and SLF,aiming to explore their relationships with deep brain fibers.Furthermore, six healthy adult volunteers who underwent fMRI of the brain were included.The collected diffusion tensor imaging (DTI) data were processed and integrated with the microanatomical findings for a comprehensive analysis.Results:After removing the gray matter of the cerebral cortex,the superficial U fibers were exposed.The long association fibers that beneath the U fibers were the AF and SLF,which were the main long association fibers in the superficial layers of the brain.The AF could be divided into dorsal and ventral parts,while the SLF could be divided into Ⅰ,Ⅱ,and Ⅲ.SLF Ⅰ lied within the upper bank of the cingulate sulcus,travels medial to the callosal sulcus.The SLF Ⅱ,Ⅲ,and the AF were located on the lateral surface of the brain.By removing the gray matter of the insular cortex and the extreme capsule,exposing the external capsule and claustrum.Subsequently,the AF and SLF Ⅱ,Ⅲ were dissected,revealing the corona radiata and sagittal stratum,along with other deep brain fibers.During the dissection,it was observed that there was a close connection between the AF,SLF Ⅱ,and the deep brain fibers.Furthermore,in the regions above the lateral fissure of the cerebral hemisphere,there was no direct connection of long association fibers between the gray matter cortex and the deep U fibers in the coronal plane.These findings were further supported by DTI studies.Conclusions:The AF and SLF are the major long association fibers that located in the superficial layers of the brain,and closely connect to the gray matter cortex and U fibers,even closely relate with deep brain fibers.In the regions above the lateral fissure of the hemisphere,only the AF and SLF Ⅱ and Ⅲ serve as superficial long association fibers in the anterior-posterior direction.These fibers are likely involved in the transmission of brain functional information between the top and bottom gray matter cortex in the coronal plane above the lateral fissure.