On-site analysis and rapid identification of citrus herbs by miniature mass spectrometry and machine learning.

BACKGROUND: Natural medicines present a considerable analytical challenge due to their diverse botanical origins and complex multi-species composition. This inherent complexity complicates their rapid identification and analysis. Tangerine peel, a product of the Citrus species from the Rutaceae family, is widely used both as a culinary ingredient and in traditional Chinese medicine. It is classified into two primary types in China: Citri Reticulatae Pericarpium (CP) and Citri Reticulatae Pericarpium Viride (QP), differentiated by harvest time. A notable price disparity exists between CP and another variety, Citri reticulatae "Chachi" (GCP), with differences being based on the original variety. METHODS: This study introduces an innovative method using portable miniature mass spectrometry for swift on-site analysis of QP, CP, and GCP, requiring less than a minute per sample. And combined with machine learning to differentiate the three types on site, the method was used to try to distinguish GCP from different storage years. RESULTS: This novel method using portable miniature mass spectrometry for swift on-site analysis of tangerine peels enabled the characterization of 22 compounds in less than one minute per sample. The method simplifies sample processing and integrates machine learning to distinguish between the CP, QP, and GCP varieties. Moreover, a multiple-perceptron neural network model is further employed to specifically differentiate between CP and GCP, addressing the significant price gap between them. CONCLUSIONS: The entire analytical time of the method is about 1 minute, and samples can be analyzed on site, greatly reducing the cost of testing. Besides, this approach is versatile, operates independently of location and environmental conditions, and offers a valuable tool for assessing the quality of natural medicines.

Fear stress promotes glioma progression through inhibition of ferroptosis by enhancing FSP1 stability

Purpose Patients diagnosed with cancer often suffer from emotional stressors, such as anxiety, depression, and fear of death. However, whether fear stress could influence the glioma progression is still unclear. Methods Xenograft glioma animal models were established in nude mice. Tumor-bearing mice were subjected to fear stress by living closely with cats and then their depressive behaviors were measured using an open field test. Hematoxylin and eosin staining, the TUNEL staining and immunochemical staining were used to detect the histopathological changes of tumor tissues. Gene expression profiling was used to screen the aberrant gene expression. Methylated RNA immunoprecipitation was used to identify the RNA m6A level. Gene expression was measured by western blot and real-time PCR, respectively. Results We found that fear stress promoted glioma tumor progression in mice. Fear stress-induced upregulation of METTL3 and FSP1, increased m6A level of glioma tumor tissues, and inhibited ferroptosis in glioma progression, which were reversed by knockdown of METTL3 and FSP1 in vivo. In addition, we found that when iFSP1 (a ferroptosis inducer by targeting inhibition of FSP1) was introduced to glioma cells, the cells viability of glioma significantly was decreased and ferroptosis was enhanced in glioma cells. Conclusions Fear stress-induced upregulation of METTL3 stabilized FSP1 mRNA by m6A modification, leading to tumor progression through inhibition of ferroptosis. Our study provides a new understanding of psychological effects on glioma development, and new insights for glioma therapy (AU)

Fear stress promotes glioma progression through inhibition of ferroptosis by enhancing FSP1 stability.

PURPOSE: Patients diagnosed with cancer often suffer from emotional stressors, such as anxiety, depression, and fear of death. However, whether fear stress could influence the glioma progression is still unclear. METHODS: Xenograft glioma animal models were established in nude mice. Tumor-bearing mice were subjected to fear stress by living closely with cats and then their depressive behaviors were measured using an open field test. Hematoxylin and eosin staining, the TUNEL staining and immunochemical staining were used to detect the histopathological changes of tumor tissues. Gene expression profiling was used to screen the aberrant gene expression. Methylated RNA immunoprecipitation was used to identify the RNA m6A level. Gene expression was measured by western blot and real-time PCR, respectively. RESULTS: We found that fear stress promoted glioma tumor progression in mice. Fear stress-induced upregulation of METTL3 and FSP1, increased m6A level of glioma tumor tissues, and inhibited ferroptosis in glioma progression, which were reversed by knockdown of METTL3 and FSP1 in vivo. In addition, we found that when iFSP1 (a ferroptosis inducer by targeting inhibition of FSP1) was introduced to glioma cells, the cells viability of glioma significantly was decreased and ferroptosis was enhanced in glioma cells. CONCLUSIONS: Fear stress-induced upregulation of METTL3 stabilized FSP1 mRNA by m6A modification, leading to tumor progression through inhibition of ferroptosis. Our study provides a new understanding of psychological effects on glioma development, and new insights for glioma therapy.

Identification of an Inflammatory Response-Related Gene Signature to Predict Survival and Immune Status in Glioma Patients.

Background: Glioma is the most common primary brain tumor with high mortality and poor outcomes. As a hallmark of cancers, inflammatory responses are crucial for their progression. The present study is aimed at exploring the prognostic value of inflammatory response-related genes (IRRGs) and constructing a prognostic IRRG signature for gliomas. Materials and Methods: We investigated the relationship between IRRGs and gliomas by integrating the transcriptomic data for gliomas from public databases. Differentially expressed IRRGs (DE-IRRGs) were identified in the GSE4290 cohort. Further, univariate, least absolute shrinkage and selection operator, and multivariate Cox regression analyses were conducted to construct an IRRG signature using The Cancer Genome Atlas (TCGA) cohort. Gliomas from the Chinese Glioma Genome Atlas (CGGA) cohort were employed for independent validation. The performance of gene signature was assessed by survival and receiver operating characteristic curve analyses. The differences in clinical correlations, immune infiltrate types, immunotherapeutic response predictions, and pathway enrichment among subgroups were investigated via bioinformatic algorithms. Results: In total, 37 DE-IRRGs were determined, of which 31 were found to be associated with survival. Ultimately, eight genes were retained to construct an IRRG signature that further classified glioma patients into two groups; the high-risk group suffered a poorer outcome as compared to the low-risk group. Furthermore, the high-risk group was significantly correlated with several risk factors, including older age, higher tumor grade, IDH wild type, 1p19q noncodel, and MGMT unmethylation. The nomogram was constructed by integrating the risk scores and other independent clinical characteristics. Moreover, the high-risk group had a greater immune infiltration and was most likely to benefit from immunotherapy. Gene set enrichment analysis suggested that immune and oncogenic pathways were enriched in high-risk glioma patients. Conclusion: We constructed a signature composed of eight IRRGs for gliomas, which could effectively predict survival and guide decision-making for treatment.

[Development and Application of An Intelligent Shock-absorbing Sitting Walker].

OBJECTIVE: To design a sitting walking aid with intelligent shock absorption, high safety, alarm and heart rate monitoring device. METHODS: Aluminum alloy bracket is used as the main body of the walker. U-shaped soft arm bracket and L-shaped handle are arranged at the top, and universal wheel and anti-slip floor mat are arranged at the bottom. The shock-absorbing seat is connected to the geared motor through a hydraulic rod, and the seat is equipped with GPS, alarm device and heart rate monitoring device, and the finite element software Abaqus 2021 is used to analyze the force of the shock absorbing seat. RESULTS: The main body of the walker is light and easy to carry, with strong bearing capacity. The U-shaped soft arm rest and L-shaped handle can increase the sense of user experience. The combination of universal wheel and anti-slip floor mat can make the user safe and labor-saving. When the user wants to sit down and rest, the switch can be adjusted to drive the shock absorbing seat to turn over and support the elderly to sit down slowly through the deceleration motor, so as to realize the safe and independent rest, and the shock absorbing seat can withstand the corresponding stress. CONCLUSIONS: The intelligent shock-absorbing sitting and standing walker saves manpower, is safe and reliable, and meets market demand and user needs.

Tumor DNA From Tumor In Situ Fluid Reveals Mutation Landscape of Minimal Residual Disease After Glioma Surgery and Risk of Early Recurrence.

The recurrence of glioma is a difficult problem in clinical treatment. The molecular markers of primary tumors after resection cannot fully represent the characteristics of recurrent tumors. Here, abundant tumor DNA was detected in tumor in situ fluid (TISF). We report that TISF-derived tumor DNA (TISF-DNA) can detect genomic changes in recurrent tumors and facilitate recurrence risk analysis, providing valuable information for diagnosis and prognosis. The tumor DNA in TISF is more representative and sensitive than that in cerebrospinal fluid. It reveals the mutational landscape of minimal residual disease after glioma surgery and the risk of early recurrence, contributing to the clinical management and clinical research of glioma patients.

Constrained-Spherical Deconvolution Tractography in the Evaluation of the Corticospinal Tract in Glioma Surgery.

Introduction: Tractography has demonstrated utility for surgical resection in the setting of primary brain tumors involving eloquent white matter (WM) pathways. Methods: Twelve patients with glioma in or near eloquent motor areas were analyzed. The motor status was recorded before and after surgery. Two different tractography approaches were used to generate the motor corticospinal tract (CST): Constrained spherical deconvolution probabilistic tractography (CSD-Prob) and single tensor deterministic tractography (Tens-DET). To define the degree of disruption of the CST after surgical resection of the tumor, we calculated the percentage of the CST affected by surgical resection, which was then correlated with the postoperative motor status. Moreover, the fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) of the CST generated by the CSD-Prob and the Tens-DET was measured and compared between the ipsilesional and contralesional side. Results: The CST was identified in all patients and its trajectory was displaced by the tumor. Only the CSD-Prob approach showed the CST with the characteristic fan-like projections from the precentral gyrus to the brainstem. Disruption of the CST was identified in 6/6 with postoperative motor deficit by CSD-Prob approach and in 5/6 in the Tens-DET. The degree of disruption was significantly associated with the motor deficit with the CSD-Prob approach (rho = -0.88, p = 0.021). However, with the Tens-DET approach the CST disruption did not show significant association with the motor function (rho = -0.27, p = 0.6). There was a significant decrease in FA (p = 0.006) and a significant increase in MD (p = 0.0004) and RD (p = 0.005) on the ipsilesional CST compared with the contralesional CST only with the CSD-Prob approach. Conclusion: CSD-Prob accurately represented the known anatomy of the CST and provided a meaningful estimate of microstructural changes of the CST affected by the tumor and its macrostructural damage after surgery. Newer surgical planning stations should include advanced models and algorithms of tractography in order to obtain more meaningful reconstructions of the WM pathways during glioma surgery.

Characterizing the Genomic Landscape of Brain Glioma With Circulating Tumor DNA From Tumor In Situ Fluid.

Tumor in situ fluid (TISF) refers to the fluid at the local surgical cavity. We evaluated the feasibility of TISF-derived circulating tumor DNA (ctDNA) characterizing the genomic landscape for glioma. This retrospective study included TISF and tumor samples from 10 patients with glioma, we extracted cell-free DNA (cfDNA) from the TISF and then performed deep sequencing on that. And we compared genomic alterations between TISF and tumor tissue. Results showed that the concentration of cfDNA fragments from the patients for TISF ranged from 7.2 to 1,397 ng/ml. At least one tumor-specific mutation was identified in all 10 patients (100%). Further analysis of TISF ctDNA revealed a broad spectrum of genetic mutations, which have been reported to have clinical relevance. The analysis of concordance between TISF and tumor tissue reflected the spatiotemporal heterogeneity of glioma. Collectively, TISF ctDNA was a powerfully potential source for characterizing the genomic landscape of glioma, which provided new possibilities for precision medicine in patients with glioma.

[Short-term effectiveness of reverse island flap pedicled with terminal dorsal branch of digital artery with sense reconstruction for repairing fingertip defects].

OBJECTIVE: To investigate the method and effectiveness of repairing fingertip defects with reverse island flap pedicled with terminal dorsal branch of digital artery with sense reconstruction. METHODS: Between December 2008 and March 2010, 32 patients (40 fingers) with fingertip defects were treated. There were 20 males (23 fingers) and 12 females (17 fingers), aged from 20 to 62 years (mean, 42 years). The time between injury and admission was from 1 to 8 hours. The injured fingers included thumb (2 cases), index finger (6 cases), index finger and middle finger (3 cases), middle finger (7 cases), middle finger and ring finger (3 cases), ring finger (8 cases), ring finger and little finger (2 cases), and little finger (1 case). The defect area ranged from 1.2 cm x 1.0 cm to 2.2 cm x 1.8 cm, and the flap area ranged from 1.5 cm x 1.0 cm to 2.5 cm x 2.0 cm. The fingertip defects were repaired by the reverse island flaps pedicled with terminal dorsal branch of digital artery and branch of digital nerve, and the branch of digital nerve was anastomosed with stump of proper digital nerve. The donor sites were repaired with free skin grafts. RESULTS: Blisters occurred in 6 cases (9 fingers) and partial necrosis of the flaps in 2 cases (2 fingers), which were cured after symptomatic treatment. The other flaps and skin grafts survived and the wounds healed by first intention. Thirty cases (38 fingers) were followed up 6 months postoperatively. The shape, contour of the reconstructed fingertip, and motivation of the fingers were satisfactory. The superficial sensation and deep pain sensation recovered after 6 months of operation. The two-point discrimination was 4-6 mm in 24 fingers, 7-10 mm in 13 fingers, and none in 1 finger. According to the functional assessment criteria of upper limb formulated by the Hand Surgery Branch of Chinese Medical Association, S3 was achieved in 1 finger, S3+ in 13 fingers, and S4 in 24 fingers. CONCLUSION: It is simple and safe to harvest the reverse island flap pedicled with terminal dorsal branch of digital artery with sense reconstruction; at the same time, the blood supply of the flap is reliable and its sense can be reconstructed. It is one of effective methods for repairing fingertip defects.