Blood transfusion is an important life-support measure in modern medicine. As clinical demand for transfusion continues to rise, blood supply remains under persistent strain, making the efficient utilization of this precious medical resource a critical component of blood management. Accurate prediction of transfusion needs is of great significance for optimizing blood resource allocation and conserving blood products. Traditional transfusion decision-making relies on clinical experience and simplified scoring systems, which are insufficient to meet the demands of precision medicine. Machine learning (ML) technology can integrate multidimensional data—including demographic characteristics, laboratory indicators, surgical information, and dynamic physiological waveforms—to construct high-performance predictive models, offering a new approach to transfusion prediction. This article systematically reviews the application progress of ML in transfusion prediction across clinical scenarios such as trauma, the perioperative period, and obstetrics. In trauma, ML has been applied to early massive transfusion prediction, prehospital transfusion decision-making, and precise prediction in pediatric trauma. In the perioperative field, applications span specialties including traumatic brain injury, orthopedic surgery, cardiovascular and major vascular surgery, and hepatic surgery. In obstetrics, models can effectively predict postpartum hemorrhage and transfusion requirements associated with cesarean section. Studies have shown that algorithms such as random forest, gradient boosting machines, and deep neural networks achieve area under the receiver operating characteristic curve (AUC) values of 0.83-0.98 in massive transfusion prediction, 0.75-0.97 in perioperative scenarios, and 0.80-0.89 in obstetric transfusion prediction—significantly outperforming traditional scoring tools. However, current studies are generally limited by single-center retrospective designs, insufficient external validation, and inadequate reporting standards; limited model interpretability and challenges in clinical integration further constrain practical translation. Future research should focus on constructing multicenter data cohorts, integrating multimodal data, conducting prospective implementation studies, and deeply embedding models within electronic health record systems, thereby advancing the application of ML to optimize clinical transfusion decision-making.

Objective:To explore the application value of P1 response threshold of cortical auditory evoked potential（CAEP） in evaluating the rehabilitation effect of cochlear implant in young children. Methods:Thirty-three young children after cochlear implantation were divided into groups according to hearing age: Group A（hearing age 1-<2 years old） 10 people; Group B（hearing age 2-<3 years old） 13 people; Group C（hearing age 3-<4 years old） 10 people. The subjective assessment was carried out using the assessment tool for hearing-impaired children- "Criteria and Methods for assessing Auditory and language ability of hearing-impaired children" and objective electrophysiological examination was carried out using CAEP to evaluate the rehabilitation effect. SPSS 25.0 software was used for statistical analysis. Results:The results of subjective assessment of auditory ability and language ability in each group showed an increasing trend with the increase of auditory age. In this study, the P1 response threshold of CAEP in CI implanted children had a significant positive correlation with the 2 kHz hearing threshold after intervention, and the P1 response threshold of CAEP was negatively correlated with many items in subjective auditory ability and language ability assessment. Conclusion:The P1 response threshold of CAEP has a stable correlation with the results of speech audiometry, which can effectively and objectively evaluate the postoperative rehabilitation effect of young children with cochlear implantation.
Humans ; Child, Preschool ; Infant ; Male ; Female ; Evoked Potentials, Auditory ; Cochlear Implantation/rehabilitation* ; Cochlear Implants ; Auditory Threshold

G protein-coupled receptor kinase 2 (GRK2) participates in the phosphorylation and desensitization of G protein-coupled receptor (GPCR), impacting various biological processes such as inflammation and cell proliferation. Dysregulated expression and activity of GRK2 have been reported in multiple cells in rheumatoid arthritis (RA). However, whether and how GRK2 regulates synovial hyperplasia and fibroblast-like synoviocytes (FLSs) proliferation is poorly understood. In this study, we investigated the regulation of GRK2 and its biological function in RA. We found that GRK2 transmembrane activity was increased in FLSs of RA patients and collagen-induced arthritis (CIA) rats. Additionally, we noted a positive correlation between high GRK2 expression on the cell membrane and serological markers associated with RA and CIA. Immunoprecipitation-mass spectrometry and pull-down analyses revealed tumor necrosis factor receptor-associated factor 2 (TRAF2) as a novel substrate of GRK2. Furthermore, surface plasmon resonance (SPR) and molecular docking assays determined that the C-terminus of GRK2 binds to the C-terminus of TRAF2 at the Gln340 residue. GRK2 knockdown and the GRK2 inhibitor CP-25 attenuated synovial hyperplasia and FLS proliferation in CIA both in vitro and in vivo by decreasing GRK2 membrane expression and activity. Mechanistically, increased GRK2 transmembrane activity contributed to the recruitment of TRAF2 on the cell membrane, promoting GRK2-TRAF2 interactions that facilitate the recruitment of the E3 ubiquitin ligase TRIM47 to TRAF2. This enhanced TRAF2 Lys63 polyubiquitylation and induced nuclear factor (NF)-κB activation, leading to synovial hyperplasia and abnormal proliferation of FLSs. Our study provides a mechanistic and preclinical rationale for further evaluation of GRK2 as a therapeutic target for RA.

Objective:To analyze the association between remnant cholesterol (RC) and the risk of atherosclerotic cardiovascular disease (ASCVD) in community population in Shanghai.Methods:Using baseline and follow-up data from the Shanghai Suburban Adult Cohort and Biobank, individuals with ASCVD (including coronary heart disease, stroke, myocardial infarction, and peripheral artery disease) at baseline were excluded. A Cox proportional hazards regression model was employed to analyze the relationship between RC and ASCVD risk and the association under different LDL-C levels.Results:A total of 57 281 participants were included, with a median follow-up of 5.61 person-years. During the follow-up, 1 436 ASCVD events (2.51%) were recorded. After adjusting for potential confounders, individuals with moderate ( HR=1.18, 95% CI: 1.03-1.36) or high RC levels ( HR=1.32, 95% CI: 1.15-1.51) had an increased risk of ASCVD. The association was stronger in participants younger than 60 years-old (interaction P=0.048). Participants with RC ≥0.97 mmol/L and LDL-C <3.40 mmol/L demonstrated a 19% ( HR=1.19, 95% CI: 1.06-1.35) increased risk of ASCVD. When RC ≥0.97 mmol/L and LDL-C ≥3.40 mmol/L, ASCVD risk increased by 42% ( HR=1.42, 95% CI: 1.21-1.67). Conclusions:Elevated RC increases ASCVD risk, regardless of LDL-C levels. RC can serve as a valuable predictor and intervention target for ASCVD.

Objective To explore the association of diabetes status with the development of tuberculosis (TB) among the community population in Shanghai, and to provide evidence for the formulation of tuberculosis prevention and control strategies. Methods This population-based cohort study was based on Shanghai Suburban Adult Cohort and Biobank (SSACB) in China. The baseline data were acquired by questionnaires, physical examinations and blood biochemistry tests. TB incidence was obtained by matching with TB management information system data. A Cox proportional risk model was established to assess the risk of tuberculosis. Results A total of 36 014 research subjects were included, with an average age of 56.3±11.3 years, of which 14 587 (40.5%) were male. Over 6 years of follow-up, 47 individuals progressed to tuberculosis (incidence rate: 19.8 per 100 000 person-year, 95% CI: 14.6 -26.4). An increased risk of TB was observed in participants with newly diagnosed diabetes compared with those without diabetes (adjusted hazard ratio [aHR], 2.73; 95% CI, 1.19 - 6.28). Conclusion The risk of tuberculosis in newly diagnosed diabetic patients is significantly increased, and strengthening tuberculosis screening for this population should be considered in practical work.

This article discusses the important role and practical experience of Guangxi Zhuang Autonomous Region as a bridgehead between China and the Association of Southeast Asian Nations (ASEAN) in the joint prevention and control of cross-border infectious diseases between China and Vietnam. The cross-border transmission of infectious diseases has been effectively managed in Guangxi Zhuang Autonomous Region through a package of strategies, including government leadership, construction of the joint prevention and control mechanism, establishment of dialogue platforms, collaboration of scientific researches, and personnel exchange and training; however, there are still challenges. Further deepening of collaboration is required to meet future needs for infectious disease prevention and control.

OBJECTIVE: While higher therapeutic doses of toxic cardiac glycosides derived from Cerbera odollam are frequently employed in cases of suicide or homicide, ongoing research is investigating the potential anticancer properties of low-concentration extracts obtained from the fruits of C. odollam. The present study aimed to determine the enhanced anticancer effects and minimize potential side effects of combining extracts from C. odollam fruits from Thailand with sorafenib against HCT116 and HepG2 cells. METHODS: The dried powder of fresh green fruits of C. odollam was fractionated, and its phytochemical contents, including total cardiac glycosides, phenolics, flavonoids, and triterpenoids, were quantified. The cytotoxic effects of these fractions were evaluated against HCT116 and HepG2 cells using the MTT assay. The fractions showing the most significant response in HCT116 and HepG2 cells were subsequently combined with sorafenib to examine their synergistic effects. Apoptosis induction, cell cycle progression, and mitochondrial membrane potential (MMP) were then assessed. The underlying mechanism of the apoptotic effect was further investigated by analyzing reactive oxygen species (ROS) generation and the expression levels of antioxidant proteins. RESULTS: Phytochemical analysis showed that C. odollam-ethyl acetate fraction (COEtOAc) was rich in cardiac glycosides, phenolics, and flavonoids, while the dichloromethane fraction (CODCM) contained high levels of triterpenoids and saponins. Following 24 h treatment, HCT116 showed the most significant response to COEtOAc, while HepG2 responded well to CODCM with IC₅₀ values of (42.04 ± 16.94) μg/mL and (123.75 ± 14.21) μg/mL, respectively. Consequently, COEtOAc (20 μg/mL) or CODCM (30 μg/mL), both administered at sub-IC₅₀ concentrations, were combined with sorafenib at 6 μmol/L for HCT116 cells and 2 μmol/L for HepG2 cells, incubated for 24 h. This combination resulted in a significant suppression in cell viability by approximately 50%. The combination of treatments markedly enhanced apoptosis, diminished MMP, and triggered G₀/G₁ phase cell cycle arrest compared to the effects of each treatment administered individually. Concurrently, increased formation of ROS and decreased expression of the antioxidant enzymes superoxide dismutase 2 and catalase supported the proposed mechanism of apoptosis induction by the combination treatment. Importantly, the anticancer effect demonstrated a specific targeted action with a favorable safety profile, as evidenced by HFF-1 cells displaying IC₅₀ values 2-3 times higher than those of the cancer cells. CONCLUSION Utilizing sub-IC₅₀ concentrations of COEtOAc or CODCM in combination with sorafenib can enhance targeted anticancer effects beyond those achieved with single-agent treatments, while mitigating opposing side effects. Future research will focus on extracting and characterizing active constituents, especially cardiac glycosides, to enhance the therapeutic potential of anticancer compounds derived from toxic plants.

Rapid and ultrasensitive detection of pathogen-associated biomarkers is vital for the early diagnosis and therapy of bacterial infections. Herein, we developed a close-packed and ordered Au@AgPt array coupled with a cascade triggering strategy for surface-enhanced Raman scattering (SERS) and colorimetric identification of the Staphylococcus aureus biomarker micrococcal nuclease (MNase) in serum samples. The trimetallic Au@AgPt nanozymes can catalyze the oxidation of 3,3',5,5'-tetramethylbenzidine (TMB) molecules to SERS-enhanced oxidized TMB (oxTMB), accompanied by the color change from colorless to blue. In the presence of S. aureus, the secreted MNase preferentially cut the nucleobase AT-rich regions of DNA sequences on magnetic beads (MBs) to release alkaline phosphatase (ALP), which subsequently mediated the oxTMB reduction for inducing the colorimetric/SERS signal fade away. Using this "on-to-off" triggering strategy, the target S. aureus can be recorded in a wide linear range with a limit of detection of 38 CFU/mL in the colorimetric mode and 6 CFU/mL in the SERS mode. Meanwhile, the MNase-mediated strategy characterized by high specificity and sensitivity successfully discriminated between patients with sepsis (n = 7) and healthy participants (n = 3), as well as monitored the prognostic progression of the disease (n = 2). Overall, benefiting from highly active and dense "hot spot" substrate, MNase-mediated cascade response strategy, and colorimetric/SERS dual-signal output, this methodology will offer a promising avenue for the early diagnosis of S. aureus infection.

Acute respiratory distress syndrome (ARDS) is a common respiratory emergency, but current clinical treatment remains at the level of symptomatic support and there is a lack of effective targeted treatment measures. Our previous study confirmed that inhalation of hydrogen gas can reduce the acute lung injury of ARDS, but the application of hydrogen has flammable and explosive safety concerns. Drinking hydrogen-rich liquid or inhaling hydrogen gas has been shown to play an important role in scavenging reactive oxygen species and maintaining mitochondrial quality control balance, thus improving ARDS in patients and animal models. Coral calcium hydrogenation (CCH) is a new solid molecular hydrogen carrier prepared from coral calcium (CC). Whether and how CCH affects acute lung injury in ARDS remains unstudied. In this study, we observed the therapeutic effect of CCH on lipopolysaccharide (LPS) induced acute lung injury in ARDS mice. The survival rate of mice treated with CCH and hydrogen inhalation was found to be comparable, demonstrating a significant improvement compared to the untreated ARDS model group. CCH treatment significantly reduced pulmonary hemorrhage and edema, and improved pulmonary function and local microcirculation in ARDS mice. CCH promoted mitochondrial peripheral division in the early course of ARDS by activating mitochondrial thioredoxin 2 (Trx2), improved lung mitochondrial dysfunction induced by LPS, and reduced oxidative stress damage. The results indicate that CCH is a highly efficient hydrogen-rich agent that can attenuate acute lung injury of ARDS by improving the mitochondrial function through Trx2 activation.

Objective The ketogenic diet(KD)is a dietary intervention with potential therapeu-tic effects on polycystic ovary syndrome(PCOS),yet the existing evidence remains controversial.Fur-thermore,there is a lack of evidence-based medicine data for a comprehensive assessment of the safety of KD in the treatment of PCOS.This study aims to systematically evaluate,through a meta-analysis,the effects of KD on body composition,metabolic indicators,and reproductive hormone levels in over-weight/obese patients with PCOS,and to explore its safety and clinical applicability.Methods This study systematically searched PubMed,Web of Science,Embase,Cochrane Library,China National Knowledge Infrastructure(CNKI),Wanfang Database,and VIP Database.Randomized controlled trials(RCT)on KD for the treatment of PCOS were included,with the search time frame spanning from the establishment of each database to May 31,2025.Two researchers independently screened and extracted data according to inclusion and exclusion criteria,and assessed the quality of the in-cluded literature using the Cochrane Handbook.The Q-test and inconsistency index(I2)were used to evaluate the heterogeneity of the results.Based on the level of heterogeneity,a fixed-effects model or a random-effects model was selected for data pooling.Sensitivity analysis was employed to explore the robustness of the results.Results A total of 7 RCT studies involving 495 overweight/obese subjects were included in this study.Body composition analysis revealed that,compared with the control group,KD significantly reduced body mass index,body weight,waist circumference,waist-to-hip ra-tio,total fat mass,and visceral fat area in overweight/obese patients with PCOS(P＜0.05),but had no significant effect on fat-free mass.Analysis of glucose and lipid metabolism indicated that KD sig-nificantly decreased fasting blood glucose,fasting insulin,insulin resistance index,and triglycerides(P＜0.05),but had no significant impacts on total cholesterol,low-density lipoprotein cholesterol,or high-density lipoprotein cholesterol.Reproductive hormone analysis showed that KD significantly reduced luteinizing hormone,the ratio of luteinizing hormone to follicle-stimulating hormone,and total testosterone levels,while significantly increased sex hormone-binding globulin levels(P＜0.05),but had no significant effect on follicle-stimulating hormone.Sensitivity analysis suggested that the results were relatively robust.In terms of safety,no serious adverse reactions were observed during the KD intervention;however,further verification through high-quality RCTs with larger sample sizes and long-term interventions is still required.Conclusion KD can effectively improve body composition,glucose metabolism,lipid metabolism indicators,and reproductive hormone levels in overweight/obese patients with PCOS.This study confirms that KD significantly increase sex hormone-binding globulin level and reduce visceral fat area.It is found that KD has a more pronounced effect on impro-ving triglycerides compared to its effects on low-density lipoprotein cholesterol and high-density lipo-protein cholesterol.The current evidence does not indicate significant safety risks associated with KD,but relevant conclusions still require further confirmation with more high-quality evidence.