Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Objective: To explore the clinical efficacy of Xiaoshuan enteric-coated capsule (XSECC) in treating cerebral infarction and its potential mechanism of action. Methods: Patients with acute ischemic stroke (AIS) of the qi deficiency and blood stasis type were randomly assigned to the control and observation groups. They were evaluated using the National Institutes of Health Stroke Scale (NIHSS), Activities of Daily Living (ADL), Hachinskilnchemic Scale (HIS), Barthel Index (BI), clinical efficacy scores, and TCM syndrome scores on days 0, 14, 30, and 90. Furthermore, VEGF and BDNF levels were measured on days 30 and 90. Finally, we analyzed the changes in each scale score and vascular neurological factor in both groups. Results: After 14 days of treatment, the difference values in NIHSS, ADL, and BI were higher, and TCM syndrome and clinical efficacy scores were increased in the observation group compared with those of the control group (all P < .05). After 30 days, the NIHSS, ADL, HIS, and TCM syndrome scores were decreased compared with those of the control group, while BI and clinical efficacy scores were increased (all P < .05). After 90 days, the difference value in ADL was higher, and TCM syndrome score was increased in the observation group compared with that of the control group (P = .047, P = .005, respectively). The levels of VEGF and BDNF were higher in the observation group than in the control group on days 14, 30, and 90 (all P < .05). VEGF and BDNF levels on day 0 were associated with prognosis of patients with AIS; therefore, they have a predictive value for the prognosis of acute cerebral infarction. Conclusions XSECC therapy can improve clinical outcomes in patients with acute and recurrent cerebral infarctions. Its mechanism of action may be associated with the secretion of VEGF and BDNF.

Referring to ZHANG Xichun's experience in treating dysentery from cold-fire accumulation， the treatment of ulcerative colitis （UC） in this paper can be divided into three stages including cold-fire accumulation stage， excessive heat and putrid intestine stage， and healthy qi deficiency and pathogen lingering stage. For people with slippery and excess pulse in the cold-fire accumulation stage， Xiaochengqi Decoction （小承气汤） added with Baishao （Radix Paeoniae Alba） and Gancao （Radix et Rhizoma Glycyrrhizae） can be used for purgation， while those with deficient pulse， Huazhi Decoction （化滞汤） or Xieli Decoction （燮理汤） can be used. In the excessive heat and putrid intestine stage， Tongbian Baitouweng Decoction （通变白头翁汤） and Jiedu Shenghua Elixir （解毒生化丹） are suggested. In the healthy qi deficiency and pathogen lingering stage， it is advised to use Jiedu Shenghua Elixir added with Shanyao （Rhizoma Dioscoreae）， and Sanbao Porridge （三宝粥）. Additionally， the medication rules， dosage and administration characteristics of Huanglian （Rhizoma Coptidis）-Rougui （Cortex Cinnamomi）， Yadanzi （Fructus Bruceae）， Diyu （Radix Sanguisorbae）， Shanyao and Liuhuang （Sulphur） by ZHANG Xichun have been summarized with the help of modern pharmacological research， so as to provide new ideas for the treatment of UC by TCM.

The human gastrointestinal tract is the largest reservoir of bacteria in the body,inhabiting a very complex and active microbial community.Under normal circumstances,the interaction between the intestinal flora and the host maintains a dynamic balance.Spleen deficiency syndrome is a common classic syndrome type in TCM clinical practice.A large number of studies have shown that spleen deficiency syndrome is closely related to intestinal microorganisms,and the balance of intestinal flora is the basis for the normal functioning of the spleen's main transportation and transformation functions.Intestinal flora imbalance can lead to a series of manifestations of spleen deficiency.In addition,intestinal flora is an important medium for the metabolism of polysaccharide components and the effectiveness of traditional Chinese medicine for invigorating the spleen,and traditional Chinese medicine for invigorating the spleen can also play a therapeutic role by regulating the structure and quantity of intestinal flora.This article summarizes the relationship between intestinal flora and spleen deficiency syndrome in physiology,pathology,and the efficacy of traditional Chinese medicine for invigorating the spleen.Based on intestinal flora,the study of spleen deficiency syndrome aims to provide some thoughts and suggestions for revealing the connotation of spleen deficiency syndrome in traditional Chinese medicine.

Objective To investigate the distribution of TCM syndromes and syndrome elements of irritable bowel syndrome(IBS);To provide reference for clinical TCM syndrome differentiation and treatment.Methods The patients with IBS who filled in the questionnaire were collected from 18 tertiary Chinese medicine hospitals in China from November 2019 to December 2022,including Xiyuan Hospital,China Academy of Chinese Medical Sciences,Guangdong Provincial Hospital of Traditional Chinese Medicine,the First Affiliated Hospital of Henan University of Traditional Chinese Medicine.The contents of questionnaire included the patients'general condition,medical history(onset time,condition changes),Rome Ⅳ symptom diagnostic scale,somatic symptom cluster scale,quality of life scale,hospital anxiety and depression scale,TCM syndromes,etc.The methods of factor analysis and systematic clustering analysis were used,the factors of disease and syndrome were extracted,and the classification of TCM syndrome types was summarized.Results Totally 157 patients were included,87 were male and 70 were female.The age was from 18 to 74 years old.The longest course of disease was 30 years and the shortest was 3 months,with an average of(48.31±5.61)months.Anxiety score:was 3.66±0.30,depression score was 3.39±0.28.The most common TCM symptom was emotional distress(83.4%),followed by diarrhea(80.9%)and abdominal pain(72.6%).The results of factor analysis showed that rotation finally converged after 16 iterations,and 8 common factors and 33 variables were obtained,with a cumulative contribution rate of 60.016%.The sites of IBS were mainly distributed in liver,spleen,large intestine and stomach.The main syndrome factors were qi stagnation,phlegm,dampness,heat and yang deficiency.The results of clustering analysis of 8 common factors showed that the main TCM syndrome types were liver depression and qi stagnation syndrome,damp-heat internal accumulation syndrome,liver depression and spleen deficiency syndrome,and liver-stomach digression syndrome.The main TCM syndrome of diarrhea-predominant IBS was liver stagnation and spleen deficiency syndrome,and the main TCM syndrome of mixed type and constipation type was damp-heat accumulation syndrome.There were statistically significant differences in the distribution of TCM syndrome types in patients with different types(P<0.05).Conclusion The location of IBS is mainly in liver,spleen and large intestine,especially in liver.The TCM syndrome types are mainly liver depression and qi stagnation syndrome,damp-heat internal accumulation syndrome,liver depression and spleen deficiency syndrome.

At present,for acute ischemic stroke patients with onset time within 4.5 hours,intravenous thrombolysis is the preferred method for early reperfusion,but early neurological deterioration is prone to occur within 24 hours after thrombolysis,which is mainly related to the progress of ischemia.Early use of antiplatelet drugs may prevent or improve early neurological deterioration,but traditional antiplatelet drugs have a slow effect and related studies have shown a risk of bleeding.It is recommended to apply after 24 hours.However,24 hours after thrombolysis is a high-risk period for neu-rological deterioration,so it is necessary to find an antiplatelet drug that can be applied within 24 hours.Some studies have found that early use of tirofiban after intravenous thrombolysis can prevent early neurological deterioration.At the same time,for patients who have already experienced earlyneurological deterioration,the use of tirofiban can effectively improve their long-term prognosis.This article will elaborate on the research progress of the application of tirofiban in the prevention and treatment of early neurological deterioration after intravenous thrombolysis.

Ischemic stroke is the most common cerebrovascular disease with high morbidity and mortality. Neuroimaging examination has important clinical value in the diagnosis， differential diagnosis of stroke and the selection of treatment options， but it has certain limitations in monitoring the progress of post-stroke cerebral ischemia and evaluating prognosis. Both transcranial Doppler （TCD） and quantitative electroencephalogram （QEEG） have the characteristics of non-invasive， easy bedside and dynamic monitoring， and have high application value in clinical evaluation of cerebrovascular diseases and brain function status of patients. This article reviews the application value of TCD and QEEG in the prognosis evaluation of ischemic stroke， in order to provide some references for the effective evaluation of clinical prognosis of patients with acute ischemic stroke and for future research directions.

Acute ischemic stroke (AIS) is one of the main causes of death and disability in adults, which has brought a heavy burden to society and families. The intertwined process of thrombosis and thrombus inflammation plays a key role in the pathogenesis of AIS. The latest studies find that C-type lectin-like receptor 2 (CLEC-2) may play an important role in cerebral ischemia/reperfusion injury in mice by promoting thrombus inflammation, and its level is related to the progression of AIS and prognoses of patients with AIS. The author reviews the physiological and pathological effects of CLEC-2 and its related research progress in AIS, with a view to provide new research evidences for the occurrence and development of AIS and related treatments.