Transfusion and Anemia Expertise Initiative-Control/Avoidance of Bleeding developed a strategy for platelet and plasma infusion management in critically ill children based on systematic reviews and consensus meetings of international multidisciplinary experts. One good practice statement and six expert consensus statements were proposed for plasma and platelet transfusions in critically ill children following severe trauma, traumatic brain injury, and/or intracranial hemorrhage. This article introduces the specific methods and basis for the formation of recommendations in this part of the guide.

Aim To explore the possible regulatory effect of leptin on acyl-CoA synthetase long chain fami-ly member ACSL5 and their effect on migration and in-vasion of breast cancer cell,and to explore the underly-ing mechanism.Methods The expression of leptin receptor was detected by immunofluorescence assay.The migration and invasion ability of MCF-7 cells were detected by wound healing assay and Transwell assay respectively.The downstream target gene of leptin was analyzed by PCR microarray data.The expression of ACSL5 in breast cancer and its correlation with the staging and prognosis of breast cancer patients were as-sessed uing bioinformatics methods.The expression of ACSL5 in MCF-7 cells treated with different concentra-tions of leptin was detected using real time fluorescence quantitative polymerase chain reaction(RT-qPCR).Overexpressing ACSL5 was constructed by lentiviral transfection;the expressions of EMT related proteins,AMPK-α and p-AMPK-α were detected by Western blot.Results Leptin promoted breast cancer cell mi-gration and invasion and EMT.ACSL5 was significant-ly low expressed in breast cancer and related to progno-sis.Leptin downregulated the expression of ACSL5 through OBR.Leptin activated AMPK pathway to downregulate ACSL5 and promote migration,invasion and EMT of breast cancer cells.Conclusions Leptin may promote the migration,invasion and EMT of breast cancer by downregulating ACSL5 through activating AMPK pathway.

Objective:To investigate the clinical predictive value of Ki67 proliferation index combined with preoperative serum Ctn for postoperative biochemical cure of medullary thyroid carcinoma (MTC) .Methods:Clinical data were collected from Dec. 2008 to Dec. 2024 from 90 patients with surgically confirmed MTC at China-Japan Union Hospital of Jilin University. The optimal cut-off value for preoperative Ctn prediction of biochemical cure (171.18pg/mL) was determined by the ROC curve; the Ki67 proliferation index cut-off value was adopted from the international MTC grading system standard (5%). Patients were divided into three groups based on the above cutoff values: double-low group (Ki67 <5% and Ctn <171.18pg/mL, n=23), single-high group (Ki67 ≥5% and Ctn <171.18pg/mL or Ki67 <5% and Ctn ≥171.18pg/mL, n=49), and double-high group (Ki67 ≥5% and Ctn ≥171.18pg/mL, n=18). The Kaplan-Meier method (Log-Rank and Trend test) was used to compare the differences in biochemical cure rates between groups, and the Cox proportional risk model was used to analyze the risk factors affecting biochemical cure. Results:The correlation between preoperative Ctn and Ki67 proliferation index was not significant. The three groups differed significantly in gender, tumor distribution, tumor size, vascular invasion, N stage, TNM stage, and biochemical cure ( P<0.05), with the double-high group being significantly associated with larger tumors, later N stage and TNM stage, and lower biochemical cure ( P<0.001). Kaplan-Meier analysis showed that the biochemical cure rate in the double-high, single-high, and double-low groups showed a stepwise improvement.Cox univariate analysis showed that tumor size, N stage, TNM stage, preoperative Ctn, and Ki67 combined with Ctn were risk factors for failure to biochemically cure; multivariate analysis confirmed that the double-high group was an independent risk factor ( P<0.05). In the single-high group, the biochemical cure rate of patients in the low Ki67-high Ctn group was lower than that of the high Ki67-low Ctn group and more malignant. Ki67 had less effect on biochemical cure and disease-free survival at the low Ctn level, and Ki67 was an independent risk factor for failure to biochemically cure at the high Ctn level ( P=0.023) and was significantly associated with disease-free survival ( P=0.004) . Conclusions:Serum Ctn is more sensitive than Ki67 index in predicting biochemical cure after MTC, and the correlation between the two was weak. Ki67 proliferation index alone has limited prognostic value, but combines with preoperative Ctn significantly optimize the prognostic assessment of patients.The role of Ki67 index varied at different Ctn levels.

Aim To explore the possible regulatory effect of leptin on acyl-CoA synthetase long chain fami-ly member ACSL5 and their effect on migration and in-vasion of breast cancer cell,and to explore the underly-ing mechanism.Methods The expression of leptin receptor was detected by immunofluorescence assay.The migration and invasion ability of MCF-7 cells were detected by wound healing assay and Transwell assay respectively.The downstream target gene of leptin was analyzed by PCR microarray data.The expression of ACSL5 in breast cancer and its correlation with the staging and prognosis of breast cancer patients were as-sessed uing bioinformatics methods.The expression of ACSL5 in MCF-7 cells treated with different concentra-tions of leptin was detected using real time fluorescence quantitative polymerase chain reaction(RT-qPCR).Overexpressing ACSL5 was constructed by lentiviral transfection;the expressions of EMT related proteins,AMPK-α and p-AMPK-α were detected by Western blot.Results Leptin promoted breast cancer cell mi-gration and invasion and EMT.ACSL5 was significant-ly low expressed in breast cancer and related to progno-sis.Leptin downregulated the expression of ACSL5 through OBR.Leptin activated AMPK pathway to downregulate ACSL5 and promote migration,invasion and EMT of breast cancer cells.Conclusions Leptin may promote the migration,invasion and EMT of breast cancer by downregulating ACSL5 through activating AMPK pathway.

Calcitonin-negative medullary thyroid carcinoma(CNMTC)is a rare subtype of medullary thyroid carcinoma,characterized by normal serum calcitonin levels,which often leads to misdiagnosis or missed diagnosis.The pathogenesis of CNMTC remains unclear and may involve impaired secretion mechanisms or assay-related false negatives.Diagnostic approaches include ultrasound-guided fine needle aspiration cytology,serum CEA and ProGRP measurements,and RET gene testing.Surgical resection remains the mainstay of treatment,while neoadjuvant therapy may be considered in selected cases.This review summarizes recent advances in the understanding,diagnosis,treatment,and prognosis of CNMTC,aiming to provide clinical guidance for better management of this challenging condition.

Objective:To explore the research hotspots and developmental trends in the application of artificial intelligence (AI) in the health management of chronic obstructive pulmonary disease (COPD) .Methods:Literature related to the application of AI in COPD health management published between 1999 and 2024 was retrieved from the Web of Science Core Collection database. Visualization analyses were performed using Scimago Graphica, VOSviewer, and CiteSpace software. National geographic maps, author and institutional collaboration networks, keyword co-occurrence graph, keyword clustering views, and burst detection analysis were constructed to identify research hotspots and trends in this field.Results:A total of 192 publications were included, with an overall increasing trend in annual publication volume. The United States ranked first in publication count. Collaboration among authors and research teams was relatively dispersed. Current research hotspots focus on COPD risk assessment and prediction, health promotion interventions for COPD patients, and improving diagnostic accuracy. Future research trends are expected to emphasize the broader application of AI algorithms, the development of predictive models to improve forecasting performance, integration of diverse technical approaches for differential diagnosis, and enhancement of patient adherence.Conclusions:The application of AI in COPD health management is expanding, yet international and inter-author collaboration remains insufficient. There is a need to broaden and deepen research in this field. Future work may focus more on optimizing and applying algorithmic technologies and improving system construction to enhance patient adherence.

Aim To examine the pathogenesis of disul-fide death gene in vascular dementia(VD)by bioin-formatics analysis of disulfide death differentially ex-pressed genes(DEGs)combined with experimental verification.Methods The death DEGs of disulfide were screened and their correlation was analyzed.The VD patients data in the data set were analyzed by clus-tering and typing and gene set variation.The clustering risk of DEGs was tested with a nomogram model,and the optimal learning model was predicted.After the es-tablishment of VD rat model,water maze test,HE stai-ning and RT-qPCR detection were performed to verify the results of health information.Results Four DEGs including SLC7A11 were obtained,which had antago-nistic or synergistic interaction with each other.The genetic data could be divided into two subtypes with significant differences.After typing,VD disulfide DEGs were mainly concentrated in GnRH signaling pathways.The accuracy of the nomogram prediction model was high.Generalized linear was the best ma-chine learning model.Compared with the sham opera-tion group,the escape latency of rats in the model group was prolonged,the number of crossing platforms decreased,the relative mRNA expression levels of Slc3a2 and Slc7a11 decreased,and LRPPRC in-creased.Conclusions SLC7A11 and other disulfide death DEGs and its related GnRH signaling pathway may be an important part of the pathogenesis of VD di-sulfide death.SLC3A2,LRPPRC and SLC7A11 can be used as characteristic genes in the regulation of VD by disulfide death,which may affect VD progression through the regulation of disulfide death.

Objective:To investigate the clinical predictive value of Ki67 proliferation index combined with preoperative serum Ctn for postoperative biochemical cure of medullary thyroid carcinoma (MTC) .Methods:Clinical data were collected from Dec. 2008 to Dec. 2024 from 90 patients with surgically confirmed MTC at China-Japan Union Hospital of Jilin University. The optimal cut-off value for preoperative Ctn prediction of biochemical cure (171.18pg/mL) was determined by the ROC curve; the Ki67 proliferation index cut-off value was adopted from the international MTC grading system standard (5%). Patients were divided into three groups based on the above cutoff values: double-low group (Ki67 <5% and Ctn <171.18pg/mL, n=23), single-high group (Ki67 ≥5% and Ctn <171.18pg/mL or Ki67 <5% and Ctn ≥171.18pg/mL, n=49), and double-high group (Ki67 ≥5% and Ctn ≥171.18pg/mL, n=18). The Kaplan-Meier method (Log-Rank and Trend test) was used to compare the differences in biochemical cure rates between groups, and the Cox proportional risk model was used to analyze the risk factors affecting biochemical cure. Results:The correlation between preoperative Ctn and Ki67 proliferation index was not significant. The three groups differed significantly in gender, tumor distribution, tumor size, vascular invasion, N stage, TNM stage, and biochemical cure ( P<0.05), with the double-high group being significantly associated with larger tumors, later N stage and TNM stage, and lower biochemical cure ( P<0.001). Kaplan-Meier analysis showed that the biochemical cure rate in the double-high, single-high, and double-low groups showed a stepwise improvement.Cox univariate analysis showed that tumor size, N stage, TNM stage, preoperative Ctn, and Ki67 combined with Ctn were risk factors for failure to biochemically cure; multivariate analysis confirmed that the double-high group was an independent risk factor ( P<0.05). In the single-high group, the biochemical cure rate of patients in the low Ki67-high Ctn group was lower than that of the high Ki67-low Ctn group and more malignant. Ki67 had less effect on biochemical cure and disease-free survival at the low Ctn level, and Ki67 was an independent risk factor for failure to biochemically cure at the high Ctn level ( P=0.023) and was significantly associated with disease-free survival ( P=0.004) . Conclusions:Serum Ctn is more sensitive than Ki67 index in predicting biochemical cure after MTC, and the correlation between the two was weak. Ki67 proliferation index alone has limited prognostic value, but combines with preoperative Ctn significantly optimize the prognostic assessment of patients.The role of Ki67 index varied at different Ctn levels.

By employing the analytic hierarchy process(AHP), the CRITIC method(a weight determination method based on indicator correlations), and the AHP-CRITIC hybrid weighting method, the weight coefficients of evaluation indicators were determined, followed by a comprehensive score comparison. The grey correlation analysis was then performed to analyze the results calculated using the hybrid weighting method. Subsequently, a backpropagation-artificial neural network(BP-ANN) model was constructed to predict the extraction process parameters and optimize the extraction process for Shenxiong Huanglian Jiedu Granules(SHJG). In the extraction process, an L_9(3~4) orthogonal experiment was designed to optimize three factors at three levels, including extraction frequency, water addition amount, and extraction time. The evaluation indicators included geniposide, berberine, ginsenoside Rg_1 + Re, ginsenoside Rb_1, ferulic acid, and extract yield. Finally, the optimal extraction results obtained by the orthogonal experiment, grey correlation analysis, and BP-ANN method were compared, and validation experiments were conducted. The results showed that the optimal extraction process involved two rounds of aqueous extraction, each lasting one hour; the first extraction used ten times the amount of added water, while the second extraction used eight times the amount. In the validation experiments, the average content of each indicator component was higher than the average content obtained in the orthogonal experiment, with a higher comprehensive score. The optimized extraction process parameters were reliable and stable, making them suitable for subsequent preparation process research.
Drugs, Chinese Herbal/analysis* ; Neural Networks, Computer

Moringa oleifera, widely utilized in Ayurvedic medicine, is recognized for its leaves, seeds, and velamen possessing traditional effects such as vātahara(wind alleviation), sirovirecaka(brain clearing), and hridya(mental nourishment). This study aims to identify the medicinal part of ■ in the Sārasvata ghee formulation as described in the Bower Manuscript, while investigating the ameliorative effects of different medicinal parts of M. oleifera on learning and memory deficits in mice and elucidating the underlying molecular mechanisms. A total of 144 male ICR mice were randomly assigned to the following groups: control, model(scopolamine hydrobromide, Sco, 2 mg·kg~(-1)), donepezil(donepezil hydrochloride, Don, 3 mg·kg~(-1)), M. oleifera leaf low-, medium-, and high-dose groups(0.5, 1, 2 g·kg~(-1)), M. oleifera seeds low-, medium-, and high-dose groups(0.25, 0.5, 1 g·kg~(-1)), and M. oleifera velamen low-, medium-, and high-dose groups(0.31, 0.62, 1.24 g·kg~(-1)). Learning and memory abilities were assessed using the passive avoidance test and Morris water maze. Nissl and HE staining were employed to examine histopathological changes in the hippocampus. Transcriptomics and targeted metabolomics were used to screen differential genes and metabolites, with MetaboAnalyst 6.0 and O2PLS methods applied to identify key disease-related targets and pathways. RESULTS:: demonstrated that M. oleifera leaf(1 g·kg~(-1)) significantly ameliorated Sco-induced learning and memory deficits, outperforming M. oleifera seeds(0.25 g·kg~(-1)) and M. oleifera velamen(1.24 g·kg~(-1)). This was evidenced by improved behavioral performance, reversal of neuronal damage, and reduced acetylcholinesterase(AChE) activity. Multi-omics analysis revealed that M. oleifera leaf upregulated Tuba1c gene expression through the synaptic vesicle cycle, enhancing glutamate(Glu), dopamine(DA), and acetylcholine(ACh) release via Tuba1c-Glu associations for neuroprotection. M. oleifera seeds targeted the dopaminergic synapse pathway, promoting memory consolidation through Drd2-ACh associations. M. oleifera velamen was associated with the cocaine addiction pathway, modulating dopamine metabolism via Adora2a-DOPAC, with limited relevance to learning and memory. In conclusion, M. oleifera leaf exhibits superior efficacy and mechanistic advantages over M. oleifera seeds and velamen, suggesting that the ■ in the Sārasvata ghee formulation is likely M. oleifera leaf, providing scientific evidence for its identification in ancient texts.
Animals ; Moringa oleifera/chemistry* ; Male ; Mice ; Seeds/chemistry* ; Plant Leaves/chemistry* ; Mice, Inbred ICR ; Memory Disorders/psychology* ; Transcriptome/drug effects* ; Memory/drug effects* ; Learning/drug effects* ; Metabolomics ; Humans ; Drugs, Chinese Herbal/administration & dosage* ; Maze Learning/drug effects*