The study aimed to investigate the expression of ITGB1 in gastric cancer tissues and its impact on the efficacy of immunotherapy,and to find a new biomarker for prognosis assessment and prediction of immunotherapy response in gastric cancer.By utilizing bioinformatics methods to analyze the transcriptomic data,clinical pathological characteristics,and survival information of gastric cancer patients in the Cancer Genome Atlas(TCGA)database,this study evaluates the expression of ITGB1 in gastric cancer and its correlation with clinical features.Furthermore,an in-depth analysis was conducted for evaluating the relationship of ITGB1 expression with immune infiltration,immune checkpoint-related genes,immune subtypes and immunotherapy response.Data showed that high ITGB1 expression in gastric cancer tissues is associated with later T stage,lower survival rates,and lower overall survival.Analysis of immune infiltration scores showed the score for CD4+T cells,CD8+T cells,neutrophils,macrophages and dendritic cells were higher in the high ITGB1 expression group.Additionally,the levels of immune checkpoint-related genes such as SIGLEC15,TIGIT,CD274,HAVCR2,CTLA4 and PDCD1LG2 were elevated in the high ITGB1 expression group,and the expression of ITGB1 was positively correlated with the expression of immune checkpoint-related genes including SIGLEC15,TIGIT,CD274,HAVCR2,CTLA4,LAG3 and PDCD1LG2.Analysis based on the data from the TISIDB database revealed differential expression of ITGB1 in various immune subtypes of gastric cancer,with significantly higher expression levels in the C6 subtype(TGF-β dominant type).The TIDE algorithm indicated a high score for the group with high ITGB1 expression,suggesting poor efficacy of immune checkpoint blockade therapy.To sum up,we find that high expression of ITGB1 in gastric cancer tissues is a poor prognostic indicator for gastric cancer patients,thus ITGB1 may serve as a potential biomarker for assessing prognosis and predicting the efficacy of immunotherapy in gastric cancer.

Objective:To analyze the risk factors for 6-month prognosis of traumatic spinal cord injury (TSCI).Methods:A retrospective analysis was conducted of the 133 patients with TSCI who had been admitted to Department of Orthopaedics, The First Hospital Affiliated to Jinan University from January 2017 to August 2021. The patients with TSCI were categorized into an improved group ( n=82) and a non-improved group ( n=51) according to the improvements in the American Spinal Injury Association (ASIA) grading between admission and 6 months after injury. To identify the risk factors that might affect the prognosis of TSCI patients at 6 months after injury, univariate and logistic regression analyses were conducted of indicators such as gender, age, length of MRI spinal cord signal change, maximum canal compromise (MCC), maximum spinal cord compression (MSCC), brain and spinal cord injury center(BASIC)score, neutrophil-to-lymphocyte ratio (NLR) within 3 days after injury, ASIA grading within 3 days after injury, mean arterial pressure (MAP) at 3 days after operation, and presence of complications. Results:The univariate analysis showed significant differences between the improved and non-improved groups in length of MRI spinal cord signal change, MCC, MSCC, BASIC, NLR within 3 days after injury, ASIA grading within 3 days after injury, MAP at 3 days after operation, and presence of complications (all P<0.05). The logistic regression analysis showed that NLR ( OR=0.463, 95% CI: 0.287 to 0.748, P=0.002) and ASIA grading ( OR=11.684, 95% CI: 1.684 to 81.086, P=0.013) within 3 days after injury, as well as MAP at 3 days after operation ( OR=2.224, 95% CI: 1.306 to 3.787, P=0.003), were risk factors affecting the 6-month prognosis in TSCI patients. Conclusion:The NLR and ASIA grading within 3 days after injury, and MAP at 3 days after operation are risk factors that may affect the prognosis of TSCI patients at 6 months after injury.

Objective To evaluate the effect of different techniques of hepatic artery reconstruction on postoperative hepatic artery complications and clinical prognosis in liver transplantation. Methods Clinical data of 140 liver transplant recipients were retrospectively analyzed. All recipients were divided into the conventional hepatic artery reconstruction group (n=123) and special hepatic artery reconstruction group (n=17) according to hepatic artery reconstruction methods. Intraoperative and postoperative clinical indexes, the incidence of postoperative hepatic artery complications and survival rate were compared between two groups. Results The alanine aminotransferase (ALT) and aspartate aminotransferase (AST) levels at postoperative 1 d, total bilirubin (TB) at postoperative 7 d and prothrombin time international normalized ratio (PT-INR) at postoperative 30 d in special hepatic artery reconstruction group were higher than those in conventional hepatic artery reconstruction group, and the differences were statistically significant (all P < 0.05). There were no significant differences in the operation time, anhepatic phase, intraoperative blood loss, intraoperative transfusion volume of red blood cells, cold or warm ischemia time, the length of intensive care unit (ICU) stay, the length of hospital stay and postoperative blood flow of liver allograft between two groups (all P > 0.05). In the conventional hepatic artery reconstruction group, 5 recipients developed hepatic artery complications, whereas no hepatic artery complications occurred in the special hepatic artery reconstruction group, with no significant difference between two groups (P > 0.05). In the special hepatic artery reconstruction group, the 1-, 3- and 5-year cumulative survival rates were equally 82.4%, compared with 85.0%, 78.9% and 75.6% in the conventional hepatic artery reconstruction group, respectively. There was no significant difference between two groups (all P > 0.05). Conclusions When hepatic artery variations and (or) lesions are detected in donors and recipients, use of special hepatic artery reconstruction may effectively restore the hepatic arterial blood flow of liver allograft after liver transplantation, and will not affect the incidence of hepatic artery complications and survival rate of the recipients following liver transplantation.

Objective:To investigate the medication rules of Xin'an medicine for the treatment of melancholia and further analyze the medication ideas of Xin'an physicians in the treatment of melancholia.Methods:The documents of Xin'an physicians treating melancholia in the fifth edition of the Chinese Medical Code and the online database of ancient Chinese medicine were retrieved. Excel was used to extract the prescription information to establish the database. R language was used to analyze the data regarding the medication frequency, nature and taste, association rules, and clustering of the traditional Chinese medicine used in the prescription. Results:A total of 127 effective prescriptions were sorted out, and 177 kinds of Chinese medicines were used with a total medication frequency of 1 031 times. The top three Chinese medicines with the highest frequency of use were Poria cocos (57 times), Licorice (46 times), and Paeonia Lactiflora (40 times). The main nature of herbs was plain and warm nature. The warm herbs were the most frequently used (298 times). The first five flavors of the herbs which were the most used were pungent taste (475 times, 28.70%), bitter taste (459 times, 27.73%), and sweet taste (453 times, 27.37%). The commonly used herbs with confidence coefficient > 0.800 were Licorice + Angelica sinensis, Licorice + Angelica sinensis and Paeonia Lactiflora, Licorice + Bupleurum, Licorice + Atractylodes macrocephala, Cyperus root + Ligusticum Chuanxiong, Angelica sinensis + Atractylodes macrocephala and Licorice, Paeonia Lactiflora + Angelica sinensis and Poria cocos, Licorice + Angelica sinensis and Poria cocos, Licorice + Atractylodes macrocephala and Angelica sinensis, Licorice + Bupleurum and Paeonia Lactiflora, Licorice + Atractylodes macrocephala and Ginseng, Licorice + Ginseng and Angelica sinensis, Cyperus root + Medicated leaven, Ginseng + Astragalus mongholicus, Licorice + Astragalus mongholicus.Conclusion:Xin'an medicine for the treatment of melancholia mainly uses pungent, bitter, sweet, and warm herbs. It can adjust the chill and fever, Yin and Yang of the human body, diminishes the urgency, and regulates the flow of Qi.

Serine/arginine-rich splicing factor 7 (SRSF7), a known splicing factor, has been revealed to play oncogenic roles in multiple cancers. However, the mechanisms underlying its oncogenic roles have not been well addressed. Here, based on N⁶-methyladenosine (m⁶A) co-methylation network analysis across diverse cell lines, we find that the gene expression of SRSF7 is positively correlated with glioblastoma (GBM) cell-specific m⁶A methylation. We then indicate that SRSF7 is a novel m⁶A regulator, which specifically facilitates the m⁶A methylation near its binding sites on the mRNAs involved in cell proliferation and migration, through recruiting the methyltransferase complex. Moreover, SRSF7 promotes the proliferation and migration of GBM cells largely dependent on the presence of the m⁶A methyltransferase. The two m⁶A sites on the mRNA for PDZ-binding kinase (PBK) are regulated by SRSF7 and partially mediate the effects of SRSF7 in GBM cells through recognition by insulin-like growth factor 2 mRNA-binding protein 2 (IGF2BP2). Together, our discovery reveals a novel role of SRSF7 in regulating m⁶A and validates the presence and functional importance of temporal- and spatial-specific regulation of m⁶A mediated by RNA-binding proteins (RBPs).
Humans ; Cell Line, Tumor ; Cell Proliferation ; Gene Expression Regulation, Neoplastic ; Glioblastoma/genetics* ; Methyltransferases/metabolism* ; RNA Splicing Factors/metabolism* ; RNA, Messenger/genetics* ; RNA-Binding Proteins/metabolism* ; Serine-Arginine Splicing Factors/metabolism* ; RNA Methylation/genetics*

The acoustic detection method based on machine learning and signal processing is an important method of pathological voice detection and the extraction of voice features is one of the most important. Currently, the features widely used have disadvantage of dependence on the fundamental frequency extraction, being easily affected by noise and high computational complexity. In view of these shortcomings, a new method of pathological voice detection based on multi-band analysis and chaotic analysis is proposed. The gammatone filter bank was used to simulate the human ear auditory characteristics to analyze different frequency bands and obtain the signals in different frequency bands. According to the characteristics that turbulence noise caused by chaos in voice will worsen the spectrum convergence, we applied short time Fourier transform to each frequency band of the voice signal, then the feature gammatone short time spectral self-similarity (GSTS) was extracted, and the chaos degree of each band signal was analyzed to distinguish normal and pathological voice. The experimental results showed that combined with traditional machine learning methods, GSTS reached the accuracy of 99.50% in the pathological voice database of Massachusetts Eye and Ear Infirmary (MEEI) and had an improvement of 3.46% compared with the best existing features. Also, the time of the extraction of GSTS was far less than that of traditional nonlinear features. These results show that GSTS has higher extraction efficiency and better recognition effect than the existing features.
Acoustics ; Databases, Factual ; Fourier Analysis ; Humans ; Noise ; Signal Processing, Computer-Assisted

Background and Objectives: Mesenchymal stem cells (MSCs) have immunomodulatory function and participate in the pathogenesis of many immunoregulation-related diseases, including psoriasis. Previously, we found that MSCs from psoriatic lesions overexpress the proinflammatory microRNA, miR-155 and exhibit a decreased immunosuppressive capacity. But the origin of these aberrant characteristics is still not clear. To investigate whether inflammatory cytokines in serum and peripheral blood mononuclear cells (PBMCs) from psoriatic patients can regulate the expression patterns of immunoregulation-related cytokines and the immunoregulation function of MSCs. Methods: and Results: Normal dermal mesenchymal stem cells (nDMSCs) were treated with serum or PBMCs derived from patients with psoriasis or healthy donors. Expression of miR-155 and immunoregulation-related genes in each MSCs were measured using real-time PCR or western-blot. Meanwhile, the immunosuppressive capacity of DMSCs was evaluated by its inhibitory ability on proliferation of activated PBMCs. Compared to control serum, psoriatic serum significantly increased the expression levels of miR-155 (27.19±2.40 vs. 3.51±1.19, p<0.001), while decreased TAB2 expression (0.28±0.04 vs. 0.72±0.20, p<0.01) in DMSCs. Expression levels of immunoregulation-related genes such as PGE2, IL-10, and TLR4 were also markedly down-regulated following the psoriatic serum treatment. Those DMSCs treated with healthy serum could inhibit PBMC proliferation, while those psoriatic serum-treated DMSCs could not inhibit PBMC proliferation effectively. Conclusions Psoriatic serum up-regulate the expression of miR-155, down-regulate the expression of immunoregulation- related genes (PGE2, IL-10, and TLR4) in DMSCs, and along with the inhibition of the immunosuppressive function of MSCs.

Sports-related traumatic brain injury (srTBI) is a traumatic brain injury (TBI) caused by sports, which can result in cognitive and motor dysfunction. Currently, research on the molecular mechanism of srTBI and related drug development mainly relies on monolayer culture models and animal models. However, many differences exist in cell populations and inflammatory responses between these models and human pathophysiological processes. Most of the researches derived from the models can't effectively conducted translational research. Emerging three-dimensional (3D)
Animals ; Brain Injuries ; Brain Injuries, Traumatic ; Humans

Background and Objectives: Psoriasis is a chronic inflammatory skin disease, which the mechanisms behind its initiation and development are related to many factors. DMSCs (dermal mesenchymal stem cells) represent an important member of the skin microenvironment and play an important role in the surrounding environment and in neighbouring cells, but they are also affected by the microenvironment. We studied the glucose metabolism of DMSCs in psoriasis patients and a control group to reveal the relationship among glucose metabolism, cell proliferation activity，and VEC (vascular endothelial cell) differentiation in vitro, we demonstrated the biological activity and molecular mechanisms of DMSCs in psoriasis. Methods: and Results: We found that the OCR of DMSCs in psoriatic lesions was higher than that in the control group, and mRNA of GLUT1 and HK2 were up-regulated compared with the control group. The proliferative activity of DMSCs in psoriasis was reduced at an early stage, and mRNA involved in proliferation, JUNB and FOS were expressed at lower levels than those in the control group. The number of blood vessels in psoriatic lesions was significantly higher than that in the control group (p＜0.05), which the mRNA of VEC differentiation, CXCL12, CXCR7, HEYL and RGS5 tended to be increased in psoriatic lesions compared to the control group, in addition to Notch3. Conclusions We speculated that DMSCs affected local psoriatic blood vessels through glucose metabolism, and the differentiation of VECs, which resulted in the pathophysiological process of psoriasis.