Objective To investigate the protective effect and underlying mechanism of human umbilical cord mesenchymal stem cell-derived exosomes (hucMSC-Exo) on renal ischemia-reperfusion injury (IRI). Methods hucMSC-Exos were isolated and characterized. A mouse renal IRI model was established and the animals were divided into Sham, IRI, IRI+hucMSC-Exo, IRI+hucMSC-Exo+JY-2 and Sham+JY-2 groups. Serum creatinine (Scr) and blood urea nitrogen (BUN) were measured. Hematoxylin-eosin (HE) staining was used to evaluate renal histopathology. Enzyme-linked immune absorbent assay was performed to determine serum interleukin (IL)-1β and IL-18 levels. Western blotting was used to detect the expression of activating transcription factor 3 (ATF3), Toll-like receptor 4 (TLR4), nuclear factor (NF)-κB, NOD-like receptor protein 3 (NLRP3), cysteineyl aspartate specific proteinase (Caspase)-1 p20 and Gasdermin D(GSDMD). Real-time fluorescent quantitative polymerase chain reaction was employed to measure ATF3, TLR4 and NF-κB messenger RNA (mRNA). Immunohistochemistry was conducted to examine NLRP3, Caspase-1 p20 and GSDMD. An in vitro hypoxia/reoxygenation (H/R) model was established in HK-2 cells and divided into Control, H/R, H/R+hucMSC-Exo, H/R+hucMSC-Exo+JY-2 and Control+JY-2 groups. Western blotting was used to detect the expression of ATF3, TLR4 and NF-κB. Real-time fluorescent quantitative polymerase chain reaction was used to measure NLRP3, GSDMD and Caspase-1 mRNA. Results HucMSC-Exos were successfully isolated and identified. Compared with the Sham group, the IRI group exhibited elevated Scr and BUN, higher tubular injury scores, increased protein expression levels of ATF3, TLR4, NF-κB p65, NLRP3, Caspase-1 p20 and GSDMD, and raised mRNA expression levels of ATF3, TLR4, NF-κB. Compared with the IRI group, the IRI+hucMSC-Exo group showed decreased Scr and BUN, lower tubular injury scores, up-regulated ATF3 protein and mRNA, down-regulated TLR4, NF-κB p65, NLRP3, Caspase-1 p20 and GSDMD protein, and declined TLR4 and NF-κB mRNA. Compared with the IRI+hucMSC-Exo group, the IRI+hucMSC-Exo+JY-2 group exhibited increased Scr and BUN levels, elevated renal tubular injury scores, decreased ATF3 protein expression levels, elevated protein expression levels of TLR4, NF-κB p65, NLRP3, Caspase-1 p20, and GSDMD, decreased ATF3 mRNA expression levels, and elevated mRNA expression levels of TLR4 and NF-κB. (all P < 0.05). Compared with the Control group, the expression levels of ATF3, TLR4 and NF-κB p65 proteins were increased in the H/R group, and the expression levels of NLRP3, Caspase-1 and GSDMD mRNA were increased. Compared with the H/R group, the expression level of ATF3 protein was increased, the expression levels of TLR4 and NF-κB p65 proteins were decreased, and the expression levels of NLRP3, Caspase-1 and GSDMD mRNA were decreased in the H/R+hucMSC-Exo group. Compared with the H/R+hucMSC-Exo group, the expression level of ATF3 protein was decreased, the expression levels of TLR4 and NF-κB p65 proteins were increased, and the expression levels of NLRP3, Caspase-1 and GSDMD mRNA were increased in the H/R+hucMSC-Exo+JY-2 group (all P < 0.05). Conclusions HucMSC-Exos alleviate renal IRI by up-regulating ATF3, thereby negatively regulating the TLR4/NF-κB signaling pathway and subsequently inhibiting pyroptosis.

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.

BACKGROUND: The atherogenic index of plasma (AIP) has been shown to be positively correlated with cardiovascular disease in previous studies. However, it is unclear whether elderly people with long-term high AIP levels are more likely to develop coronary heart disease (CHD). Therefore, the aim of this study was to investigate the relationship between AIP trajectory and CHD incidence in elderly people. METHODS: 19,194 participants aged ≥ 60 years who had three AIP measurements between 2018 and 2020 were included in this study. AIP was defined as log₁₀ (triglyceride/high-density lipoprotein cholesterol). The group-based trajectory model was used to identify different trajectory patterns of AIP from 2018 to 2020. Cox proportional hazards models were used to estimate the hazard ratio (HR) with 95% CI of CHD events between different trajectory groups from 2020 to 2023. RESULTS: Three different trajectory patterns were identified through group-based trajectory model: the low-level group (n = 7410, mean AIP: -0.25 to -0.17), the medium-level group (n = 9981, mean AIP: 0.02-0.08), and the high-level group (n = 1803, mean AIP: 0.38-0.42). During a mean follow-up of 2.65 years, a total of 1391 participants developed CHD. After adjusting for potential confounders, compared with the participants in the low-level group, the HR with 95% CI of the medium-level group and the high-level group were estimated to be 1.24 (1.10-1.40) and 1.43 (1.19-1.73), respectively. These findings remained consistent in subgroup analyses and sensitivity analyses. CONCLUSIONS There was a significant correlation between persistent high AIP level and increased CHD risk in the elderly. This suggests that monitoring the long-term changes in AIP is helpful to identify individuals at high CHD risk in elderly people.

OBJECTIVE: To explore the role of the natural compound hesperidin in glycolysis, the key ratelimiting enzyme, in colorectal cancer (CRC) cell lines. METHODS: In vitro, HCT116 and SW620 were treated with different doses of hesperidin (0-500 µmol/L), cell counting kit-8 and colone formation assays were utilized to detected inhibition effect of hesperidin on CRC cell lines. Transwell and wound healing assays were performed to detect the ability of hesperidin (0, 25, 50 and 75 µmol/L) to migrate CRC cells. To confirm the apoptotic-inducing effect of hesperidin, apoptosis and cycle assays were employed. Western blot, glucose uptake, and lactate production determination measurements were applied to determine inhibitory effects of hesperidin (0, 25 and 50 µmol/L) on glycolysis. In vivo, according to the random number table method, nude mice with successful tumor loading were randomly divided into vehicle, low-dose hesperidin (20 mg/kg) and high-dose hesperidin (60 mg/kg) groups, with 6 mice in each group. The body weights and tumor volumes of mice were recorded during 4-week treatment. The expression of key glycolysis rate-limiting enzymes was determined using Western blot, and glucose uptake and lactate production were assessed. Finally, protein interactions were probed with DirectDIA Quantitative Proteomics, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. RESULTS: Hesperidin could inhibit CRC cell line growth (P<0.05 or P<0.01). Moreover, hesperidin presented an inhibitory effect on the migrating abilities of CRC cells. Hesperidin also promoted apoptosis and cell cycle alterations (P<0.05). The immunoblotting results manifested that hesperidin decreased the levels of hexokinase 2, glucose transporter protein 1 (GLUT1), GLUT3, L-lactate dehydrogenase A, 6-phosphofructo-2-kinase/fructose-2,6-biphosphatase 2 (PFKFB2), PFKFB3, and pyruvate kinase isozymes M2 (P<0.01). It remarkably suppressed tumor xenograft growth in nude mice. GO and KEGG analyses showed that hesperidin treatment altered metabolic function. CONCLUSION Hesperidin inhibits glycolysis and is a potential therapeutic choice for CRC treatment.
Hesperidin/therapeutic use* ; Colorectal Neoplasms/metabolism* ; Glycolysis/drug effects* ; Animals ; Humans ; Apoptosis/drug effects* ; Mice, Nude ; Cell Movement/drug effects* ; Cell Line, Tumor ; Cell Proliferation/drug effects* ; Glucose/metabolism* ; Cell Cycle/drug effects* ; Mice, Inbred BALB C ; Mice ; HCT116 Cells ; Lactic Acid

OBJECTIVE: To assess the efficacy and safety of Erzhu Jiedu Decoction (EZJDD) Granules in treating mid-advanced hepatitis B virus-associated primary liver cancer (HBV-PLC) patients with Pi (Spleen)-deficiency and dampness-heat syndrome. METHODS: From January 2021 to June 2023, a cohort of 132 patients were enrolled and randomly assigned to a control group or a EZJDD group according to the random numbers, with 66 patients in each group. The patients in the control group received conventional treatment for 3 months, followed by a 3-month follow-up. In addition to the conventional treatment, patients in the EZJDD group were administered EZJDD Granules (10.9 g/pack, 2 packs twice per day) orally for same duration. Progression-free survival (PFS) as primary outcome was evaluated by Kaplan Meier method. Karnofsky performance status (KPS) scores were used to assess the quality of life in two groups before and after treatment, and survival rates were determined as well. The efficacy of Chinese medicine syndrome was calculated with Nimodipine method. Liver function, tumor indicators and T lymphocyte subsets were measured, respectively. Safety indicators were recorded and assessed. RESULTS: Of the 116 patients who completed the study, 57 were in the control group and 59 in the EZJDD group. The median PFS was 3.53 months (106 days) in the EZJDD group compared to 2.33 months (70 days) in the control group (P=0.005). Six-month survival rate was 52.63% (30/57) in the control group and 69.49% (41/59) in the EZJDD group (P=0.039). The median KPS score in the EZJDD group [70(63, 90)] was higher than that in the control group [70(60, 80)] (P=0.013). The total effective rate of CM syndrome was 52.63% (30/57) in the control group and 77.97% (46/59) in the EZJDD group (P=0.005). The levels of alpha fetoprotein, alpha fetoprotein-L3, alpha-L-fucosidase and protein induced by Vitamin K absence or antagonist- II in the EZJDD group increased less than the control group (P>0.05). CD8⁺ levels were decreased, while CD3⁺ and CD4⁺ levels, as well as CD4⁺/CD8⁺ ratio were significantly increased in the EZZJD group (P<0.05). No treatment-related adverse reactions were observed during the study. CONCLUSION EZJDD Granules significantly prolonged the median PFS and improved 6-month survival rate in patients with mid-advanced HBV-PLC (Registration No. ChiCTR2200056922).
Humans ; Drugs, Chinese Herbal/adverse effects* ; Male ; Female ; Middle Aged ; Liver Neoplasms/complications* ; Hepatitis B virus/physiology* ; Hepatitis B/complications* ; Treatment Outcome ; Adult ; Spleen/drug effects* ; Quality of Life ; Medicine, Chinese Traditional ; Aged ; Syndrome

The prevalence of rheumatoid arthritis (RA) has sharply increased in recent years, posing a serious threat to human health. RA is characterized as a chronic, multisystem disease with morning stiffness and symmetric small joint pain. However, its fundamental processes are poorly understood. With the advancements in molecular biology techniques, a growing body of research indicates that numerous non-coding RNAs (ncRNAs) are essential for the pathogenesis of RA. These ncRNAs not only contribute to the onset of RA but also play a role in the pathological processes of RA development, including synovial immune inflammation and bone destruction. Chinese medicine (single compounds, single herbs, and compound formulae, as well as non-drug therapies such as acupuncture and moxibustion), offer significant benefits for treating RA. This study examined the role of 3 different ncRNA types (circular RNA, long ncRNA, and microRNA) as biomarkers in RA diagnosis, as well as their regulatory roles in rheumatoid arthritis fibroblast-like synoviocytes functions such as inflammatory response, proliferation, cell cycle, apoptosis, and invasion. Additionally, the study explored the mechanisms by which Chinese medicine regulates these ncRNAs, with the goal of offering innovative strategies for RA treatment.
Arthritis, Rheumatoid/pathology* ; Humans ; RNA, Untranslated/metabolism* ; Medicine, Chinese Traditional ; Synoviocytes/metabolism* ; RNA, Circular ; Biomarkers/metabolism* ; Apoptosis/genetics*

OBJECTIVES: Gastric cancer (GC) is the fifth most common cancer and the third leading cause of cancer-related death worldwide, posing a serious threat to public health. Prognostication of overall survival (OS) in patients undergoing radical gastrectomy remains a clinical priority. Evidence suggests that preoperative nutritional and inflammatory status correlated with postoperative outcomes. This study aims to evaluate the prognostic value of the skeletal muscle index at the third lumbar vertebra (L3-SMI) as a trichotomous variable and to compare the performance of commonly used nutritional and inflammation-related indicators in predicting postoperative survival in GC patients. METHODS: This retrospective study analyzed clinical data of patients who underwent radical gastrectomy with neoadjuvant chemotherapy between 2011 and 2018 at the Department of Gastrointestinal Surgery, Xiangya Hospital of Central South University. L3-SMI was measured by preoperative CT, and 8 preoperative nutritional/inflammatory indices were calculated from the latest laboratory tests before surgery: neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), pan-immune-inflammation value (PIV), albumin-globulin ratio (AGR), and prognostic nutritional index (PNI). L3-SMI was categorized into 3 groups using X-tiler software. ROC curves were used to determine optimal cut-off values for the other eight indices. Kaplan-Meier curves and univariate/multivariate Cox proportional hazards models were used to analyze the association between variables and OS. Concordance index (C-index) and subgroup analysis assessed predictive performance and consistency across patient subgroups. RESULTS: A total of 546 patients were included, with a minimum follow-up time of 36 months. Kaplan-Meier and univariate analysis showed that L3-SMI and the 8 indicators were significantly associated with OS (all P<0.01). After adjusting for age, gender, tumor site, differentiation, pTNM stage, type of surgery, anemia, CEA, and AFP, multifactorial Cox analysis revealed that L3-SMI (HR=0.676, 95% CI 0.523 to 0.872), AGR (HR=0.611, 95% CI 0.452 to 0.827), and PNI (HR=0.590, 95% CI 0.418 to 0.833) were independent predictors of OS. The full model confirmed the independent prognostic roles of L3-SMI, AGR, and PNI. Among all indicators, PNI had the highest C-index for 1-year OS prediction (0.632, 95% CI 0.568 to 0.695), while AGR showed the best performance at 3 years (0.585, 95% CI 0.548 to 0.622) and 5 years (0.578, 95% CI 0.542 to 0.613). Subgroup analysis indicated that higher L3-SMI, AGR, and PNI were associated with lower mortality risk in patients aged<65 years, with lower gastric tumors, poor differentiation, stage III pTNM, or who underwent subtotal gastrectomy. CONCLUSIONS Compared with other indicators, preoperative nutritional markers such as L3-SMI, AGR, and PNI demonstrated superior prognostic value for OS in gastric cancer patients undergoing radical gastrectomy. Assessing these indices can help identify patients at high risk of poor prognosis, thereby guiding targeted nutritional interventions and potentially improving survival outcomes.
Humans ; Stomach Neoplasms/mortality* ; Gastrectomy/methods* ; Retrospective Studies ; Female ; Male ; Middle Aged ; Prognosis ; Aged ; Adult ; Nutritional Status ; Inflammation ; Predictive Value of Tests ; Preoperative Period ; Survival Rate

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Coronary atherosclerotic heart disease is a major cardiovascular condition driven by atherosclerosis, distinguished by chronic inflammation and dysregulated lipid metabolism. The gut microbiota plays an essential role in human health and disease, with research indicating a strong association between gut microbial metabolism and the development and progression of coronary heart disease. This article provides a review of the relationship between gut microbiota and coronary heart disease, as well as the mechanisms by which traditional Chinese medicine regulates digestive tract microbiota to treat coronary heart disease, which systematically explains how the gut microbiota, through metabolic products and immune regulation, contributes to the occurrence and progression of coronary heart disease, and summarizes recent advances in research on traditional Chinese medicine's regulation of gut microbiota for treating coronary heart disease. It aims to provide further reference and insights for exploring the relationship between gut microbiota and coronary heart disease, as well as traditional Chinese medicine approaches for treating coronary heart disease.

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence