Objective:To investigate the expression and clinical significance of the complement C3 and the S100 calcium binding protein A10 (S100A10) in children with traumatic brain injury (TBI).Methods:This case-control study included 129 TBI children admitted to the Affiliated Xuzhou Children′s Hospital of Xuzhou Medical University from January 2023 to November 2024.The patients were divided into a mild group (85 cases) and a moderate-to-severe group (44 cases).Thirty children with inguinal hernia but no underlying diseases admitted to the hospital during the same period were enrolled as the control group A. Twenty children whose lumbar puncture examination showed normal cerebrospinal fluid results and imaging tests showed no central nervous system disorder were included in the control group B. The children with moderate-to-severe TBI were followed up for 1 month after injury and further divided into good and poor prognosis groups.One-way (repeated-measures) analysis of variance (ANOVA) and t-tests were used to compare differences in complement C3 and S100A10 levels in serum and cerebrospinal fluid among groups.The correlation analysis was performed using the Spearman rank correlation method.Receiver operating characteristic (ROC) curves were drawn to evaluate the value of complements C3 and S100A10 proteins for predicting TBI severity. Results:The serum complement C3 levels in control group A, mild TBI, and moderate-to-severe TBI groups were (1.15±0.26) g/L, (1.02±0.09) g/L, (0.87±0.15) g/L, respectively.The difference in serum complement C3 levels was statistically significant among these three groups ( F=53.661, P<0.001).The serum S100A10 levels in control group A, mild TBI, and moderate-to-severe TBI groups were (0.09±0.03) μg/L, (0.17±0.04) μg/L, (0.32±0.11) μg/L, respectively.The difference in serum S100A10 levels was statistically significant among these three groups ( F=71.093, P<0.001).The levels of complement C3 and S100A10 in the cerebrospinal fluid (30 min post-operation) of children with severe TBI were significantly higher than those in the control group B, with statistically significant differences (all P<0.01).Correlation analysis revealed that Glasgow Coma Scale scores showed a positive correlation with serum complement C3 levels and a negative correlation with S100A10 levels ( r=0.592, -0.705; all P<0.001).The serum complement C3 and S100A10 levels were (0.90±0.13) g/L and (0.30±0.10) μg/L in the good prognosis group, and (0.74±0.16) g/L and (0.42±0.11) μg/L in the poor prognosis group, respectively.Both serum complement C3 and S100A10 levels were statistically significantly different between good and poor prognosis groups ( t=3.025, -3.014; all P<0.01).The complement C3 level in the cerebrospinal fluid of severe TBI children was (0.093±0.007) g/L 30 min after operation, and it gradually increased to reach the first peak at day 3 and the second peak at day 5 postoperatively[(0.112±0.005) g/L and (0.120±0.010) g/L, respectively].The difference in the complement C3 level in the cerebrospinal fluid of severe TBI children was significant between 30 min and 3-5 d after operation ( F=42.756, P<0.01).The S100A10 level in the cerebrospinal fluid of severe TBI children was (2.56±0.31) μg/L 30 min after operation, and then it showed a sustained increase, reaching (4.09±0.13) μg/L at day 7 postoperatively.The difference in the S100A10 level in the cerebrospinal fluid of severe TBI children was significant between 30 min and 7 d after operation ( F=110.676, P<0.01).ROC curve analysis showed that the areas under the curve for predicting moderate-to-severe TBI based on serum complement C3 and S100A10 levels were 0.802 and 0.889, respectively (all P<0.01). Conclusions:Serum complement C3 levels are significantly decreased whereas serum S100A10 levels are markedly elevated in pediatric TBI patients.The measurement of serum complement C3 and S100A10 levels can aid in the clinical assessment of the severity and prognosis of TBI children.Both complement C3 and S100A10 levels in cerebrospinal fluid show a significant elevation within 7 days after operation in severe pediatric TBI, which is potentially linked to sustained astrocyte activation.

Objective:To investigate the expression and clinical significance of the complement C3 and the S100 calcium binding protein A10 (S100A10) in children with traumatic brain injury (TBI).Methods:This case-control study included 129 TBI children admitted to the Affiliated Xuzhou Children′s Hospital of Xuzhou Medical University from January 2023 to November 2024.The patients were divided into a mild group (85 cases) and a moderate-to-severe group (44 cases).Thirty children with inguinal hernia but no underlying diseases admitted to the hospital during the same period were enrolled as the control group A. Twenty children whose lumbar puncture examination showed normal cerebrospinal fluid results and imaging tests showed no central nervous system disorder were included in the control group B. The children with moderate-to-severe TBI were followed up for 1 month after injury and further divided into good and poor prognosis groups.One-way (repeated-measures) analysis of variance (ANOVA) and t-tests were used to compare differences in complement C3 and S100A10 levels in serum and cerebrospinal fluid among groups.The correlation analysis was performed using the Spearman rank correlation method.Receiver operating characteristic (ROC) curves were drawn to evaluate the value of complements C3 and S100A10 proteins for predicting TBI severity. Results:The serum complement C3 levels in control group A, mild TBI, and moderate-to-severe TBI groups were (1.15±0.26) g/L, (1.02±0.09) g/L, (0.87±0.15) g/L, respectively.The difference in serum complement C3 levels was statistically significant among these three groups ( F=53.661, P<0.001).The serum S100A10 levels in control group A, mild TBI, and moderate-to-severe TBI groups were (0.09±0.03) μg/L, (0.17±0.04) μg/L, (0.32±0.11) μg/L, respectively.The difference in serum S100A10 levels was statistically significant among these three groups ( F=71.093, P<0.001).The levels of complement C3 and S100A10 in the cerebrospinal fluid (30 min post-operation) of children with severe TBI were significantly higher than those in the control group B, with statistically significant differences (all P<0.01).Correlation analysis revealed that Glasgow Coma Scale scores showed a positive correlation with serum complement C3 levels and a negative correlation with S100A10 levels ( r=0.592, -0.705; all P<0.001).The serum complement C3 and S100A10 levels were (0.90±0.13) g/L and (0.30±0.10) μg/L in the good prognosis group, and (0.74±0.16) g/L and (0.42±0.11) μg/L in the poor prognosis group, respectively.Both serum complement C3 and S100A10 levels were statistically significantly different between good and poor prognosis groups ( t=3.025, -3.014; all P<0.01).The complement C3 level in the cerebrospinal fluid of severe TBI children was (0.093±0.007) g/L 30 min after operation, and it gradually increased to reach the first peak at day 3 and the second peak at day 5 postoperatively[(0.112±0.005) g/L and (0.120±0.010) g/L, respectively].The difference in the complement C3 level in the cerebrospinal fluid of severe TBI children was significant between 30 min and 3-5 d after operation ( F=42.756, P<0.01).The S100A10 level in the cerebrospinal fluid of severe TBI children was (2.56±0.31) μg/L 30 min after operation, and then it showed a sustained increase, reaching (4.09±0.13) μg/L at day 7 postoperatively.The difference in the S100A10 level in the cerebrospinal fluid of severe TBI children was significant between 30 min and 7 d after operation ( F=110.676, P<0.01).ROC curve analysis showed that the areas under the curve for predicting moderate-to-severe TBI based on serum complement C3 and S100A10 levels were 0.802 and 0.889, respectively (all P<0.01). Conclusions:Serum complement C3 levels are significantly decreased whereas serum S100A10 levels are markedly elevated in pediatric TBI patients.The measurement of serum complement C3 and S100A10 levels can aid in the clinical assessment of the severity and prognosis of TBI children.Both complement C3 and S100A10 levels in cerebrospinal fluid show a significant elevation within 7 days after operation in severe pediatric TBI, which is potentially linked to sustained astrocyte activation.

Objective To investigate the application value of the quantitative parameters of collateral circulation based on computed tomography perfusion(CTP)in evaluating the clinical prognosis of patients with acute ischemic stroke(AIS).Methods A total of 126 patients with AIS caused by middle cerebral artery occlusion were enrolled,collateral circulation were reconstructed and scored via multiphase computed tomography angiography(mCTA)based on CTP.The hypoperfusion intensity ratio(HIR)and collateral vessel density(CVD)were calculated.All patients were divided into good prognosis group(72 cases)and poor prognosis group(54 cases)based on 90 d modified Rankin scale(mRS)scores.Differences in cardiovascular risk factors,National Institutes of Health Stroke Scale(NIHSS)scores,Albert stroke program early CT(ASPECT)scores,Tmax＞10 s volume,Tmax＞6 s volume,core infarct area volume,and final infarct volume between the two groups were compared.Binary logistic regression was employed to identify independent predictors of the clinical prognosis,and the DeLong test was used to compare the efficacy of different predictors in predicting clinical prognosis.Results The good prognosis group had significantly higher ASPECT scores,mCTA scores,and CVD,but significantly lower HIR,Tmax＞10 s volume,and baseline NIHSS scores compared to the poor prognosis group(P＜0.05).Binary logistic regression analysis showed that ASPECT scores[odds ratio(OR)=0.780],mCTA scores(OR=0.669),CVD(OR=0.595),and HIR(OR=28.968)were independent predictors of clinical prognosis(P＜0.05).DeLong test found no significant difference in area under the curve(AUC)values between mCTA scores,CVD and HIR in predicting the clinical prognosis of AIS patients(P＞0.05).Conclusion Quantitative parameters such as CVD and HIR related to collateral circulation have a strong diagnostic efficacy in predicting the 90 d clinical prognosis in patients with AIS.

Pain is one of the most prevalent health problems. Current medications for pain are mainly anticonvulsants， tricyclic antidepressants， and opioidergic drugs. However， their therapeutic effectiveness is limited during application， and some even have severe side effects. In recent years， research on natural ingredients from Chinese herbal medicine has been extensively conducted for their analgesic activities. A series of natural ingredients represented by alkaloids， coumarins， flavonoids， and terpenoids have shown great analgesic activity， and further studies on their analgesic mechanism have found that most natural products have multi-target analgesic mechanisms. It can exert analgesic effects by blocking ion channels， regulating related receptors， or inducing anti-inflammatory or antioxidant effects. In addition， many traditional Chinese medicine （TCM） formulas have shown great analgesic ability after clinical application and have multiple complex analgesic mechanisms. The drug cloud （dCloud） theory can better describe the mechanisms， and it can represent the complete therapeutic spectrum of multi-target analgesics from two dimensions， namely the "direct efficacy" that directly inhibits pain signals and the "background efficacy" that targets the root causes of pain. The authors summarized the research progress of natural ingredients with analgesic effects found in Chinese herbal medicine so far， as well as the analgesic efficacy and potential mechanisms of TCM formulas with great analgesic effects in clinical applications， so as to provide a new basis for searching for new analgesic drugs from TCM.

OBJECTIVE: To investigate the effect of Akt2 inhibitor on macrophage polarization in the periapical tissue in a rat model of periapical inflammation. METHODS: Rat models of periapical inflammation were established in 28 normal SD rats by opening the pulp cavity of the mandibular first molars, followed by injection of normal saline and Akt2 inhibitor into the left and right medullary cavities, respectively. Four rats without any treatment served as the healthy control group. At 7, 14, 21 and 28 days after modeling, 7 rat models and 1 control rat were randomly selected for observation of inflammatory infiltration in the periapical tissues by X-ray and HE staining. Immunohistochemistry was used to detect the expression and localization of Akt2, macrophages and the inflammatory mediators. RT-PCR was performed to detect the mRNA expressions of Akt2, CD86, CD163, inflammatory mediators, miR-155-5p and C/EBPβ to analyze the changes in macrophage polarization. RESULTS: X-ray and HE staining showed that periapical inflammation was the most obvious at 21 days after modeling in the rats. Immunohistochemistry and RT-PCR showed that compared with those in the control rats, the expressions of Akt2, CD86, CD163, miR-155-5p, C/EBPβ, and IL-10 increased significantly in the rat models at 21 days (P < 0.05). Compared with saline treatment, treatment with the Akt2 inhibitor significantly decreased the expression levels of Akt2, CD86, miR-155-5p and IL-6 and the ratio of CD86⁺M1/CD163⁺M2 macrophages (P < 0.05) and increased the expression levels of CD163, C/EBPβ and IL-10 in the rat models (P < 0.05). CONCLUSION Inhibition of Akt2 can delay the progression of periapical inflammation in rats and promote M2 macrophage polarization in the periapical inflammatory microenvironment possibly by reducing miR-155-5p expression and activating the expression of C/EBPβ in the Akt signaling pathway.
Rats ; Animals ; Proto-Oncogene Proteins c-akt/metabolism* ; MicroRNAs/genetics* ; Interleukin-10 ; Rats, Sprague-Dawley ; Macrophages/metabolism* ; Inflammation/metabolism*

Recent advancement in natural language processing (NLP) and medical imaging empowers the wide applicability of deep learning models. These developments have increased not only data understanding, but also knowledge of state-of-the-art architectures and their real-world potentials. Medical imaging researchers have recognized the limitations of only targeting images, as well as the importance of integrating multimodal inputs into medical image analysis. The lack of comprehensive surveys of the current literature, however, impedes the progress of this domain. Existing research perspectives, as well as the architectures, tasks, datasets, and performance measures examined in the present literature, are reviewed in this work, and we also provide a brief description of possible future directions in the field, aiming to provide researchers and healthcare professionals with a detailed summary of existing academic research and to provide rational insights to facilitate future research.
Humans ; Natural Language Processing ; Surveys and Questionnaires