Objective To explore the causal relationship between immune cells and heart failure (HF), and the mediating role of serum metabolites, in order to identify potential biomarkers and therapeutic targets. Methods We employed a two-sample Mendelian randomization (MR) analysis method based on genome-wide association study (GWAS) data, analyzing the direct and indirect effects of 731 types of immune cells and 1 400 metabolites on HF. We selected valid instrumental variables and conducted statistical analyses using R software. The primary analysis was performed using the inverse variance weighted method, supplemented by MR-Egger analysis and weighted median method. The stability of the results was assessed through tests such as Cochran’s Q test. Results Our research found a negative causal relationship between PD-L1 on CD14−CD16+ and HF. Sensitivity analysis supported this result. The reverse MR analysis did not find an effect of HF on PD-L1 on CD14−CD16+, indicating that PD-L1 on CD14−CD16+ might play a unidirectional role in reducing the risk of HF. Further mediation MR analysis showed that PD-L1 on CD14−CD16+ might influence the risk of HF onset by regulating the levels of sphingomyelin (d17:1/14:0, d16:1/15:0), with a mediation effect ratio of 6.7%. Conclusion PD-L1 on CD14−CD16+ may reduce the risk of HF by elevating the levels of sphingomyelin (d17:1/14:0, d16:1/15:0), which provides a new perspective for understanding the pathogenesis of HF.

Cancer remains a leading cause of global mortality, necessitating the development of advanced therapeutic strategies with enhanced efficacy and reduced systemic toxicity. Among promising bioactive agents, lactoferrin (LF)—a multifunctional iron-binding glycoprotein abundantly found in mammalian milk and exocrine secretions—has garnered significant interest for its potent and multifaceted anti-cancer properties. This review provides a comprehensive analysis of the current understanding of LF’s role in oncology, encompassing its structural biology, diverse mechanisms of action, and groundbreaking advancements in its application through nano-engineering. LF exerts anti-tumor effects through multiple pathways, including extracellular action, intracellular action, and immune regulation. It demonstrates a remarkable affinity for cancer cell membranes, binding to overexpressed anionic components such as glycosaminoglycans and sialic acids, as well as to specific receptors including the low-density lipoprotein receptor-related protein-1 (LRP-1). This selective binding facilitates targeted uptake. Upon internalization, LF orchestrates a direct assault by inducing cell-cycle arrest in phases such as G0/G1 or S phase through the modulation of key regulators including cyclins, CDKs, and p53. Furthermore, it promotes programmed cell death via apoptotic pathways, involving caspase activation and downregulation of anti-apoptotic proteins such as survivin. A more recently elucidated mechanism is the induction of ferroptosis, an iron-dependent form of cell death characterized by overwhelming lipid peroxidation. Beyond direct cytotoxicity, LF acts as a potent immunomodulator. It enhances natural killer (NK) cell activity, modulates T-lymphocyte populations, and crucially reprograms tumor-associated macrophages (TAMs) from a pro-tumor M2 state to an anti-tumor M1 state, thereby reversing the immunosuppressive tumor microenvironment (TME). The translation of LF’s potential has been significantly accelerated by nanotechnology. The inherent biocompatibility and natural tumor-targeting capabilities of LF make it an ideal platform for sophisticated drug-delivery systems. This review details various fabrication strategies for LF-based nanoparticles (NPs), including self-assembly, sol-in-oil emulsion, and electrostatic nanocomplexes, among others. Research demonstrates that nano-formulations not only protect LF from degradation but also enhance its bioactivity and anti-cancer potency. More importantly, LF NPs serve as versatile carriers for a wide array of therapeutic agents, including conventional chemotherapeutics, natural compounds, and imaging agents. These engineered systems enable synergistic therapy and facilitate site-specific delivery. Notably, the ability of LF to bind to receptors on the blood-brain barrier (BBB) has been leveraged to develop nano-systems for glioblastoma treatment. Other innovative designs utilize LF to modulate the TME—for instance, by alleviating tumor hypoxia to sensitize cells to radiotherapy and chemotherapy. Despite compelling pre-clinical evidence, the clinical translation of LF and its nano-formulations remains nascent. While early-phase trials have established a favorable safety profile for recombinant human LF, larger Phase III studies have yielded mixed results, underscoring the complexity of its action in humans. Key challenges include enhancing drug targeting, optimizing loading efficiency, ensuring batch-to-batch reproducibility, and achieving deep tumor penetration. Future research must focus on the rational design of next-generation LF-NPs. This entails developing standardized manufacturing protocols, engineering “smart” stimuli-responsive systems for targeted drug release in the TME, and constructing multi-targeting platforms. A concerted interdisciplinary effort is paramount to bridge the gap between bench and bedside. In conclusion, LF, particularly in its nano-engineered forms, represents a highly promising and versatile agent in the oncological arsenal, holding immense potential for precise and effective cancer therapy.

Cancer remains a leading cause of global mortality, necessitating the development of advanced therapeutic strategies with enhanced efficacy and reduced systemic toxicity. Among promising bioactive agents, lactoferrin (LF)—a multifunctional iron-binding glycoprotein abundantly found in mammalian milk and exocrine secretions—has garnered significant interest for its potent and multifaceted anti-cancer properties. This review provides a comprehensive analysis of the current understanding of LF’s role in oncology, encompassing its structural biology, diverse mechanisms of action, and groundbreaking advancements in its application through nano-engineering. LF exerts anti-tumor effects through multiple pathways, including extracellular action, intracellular action, and immune regulation. It demonstrates a remarkable affinity for cancer cell membranes, binding to overexpressed anionic components such as glycosaminoglycans and sialic acids, as well as to specific receptors including the low-density lipoprotein receptor-related protein-1 (LRP-1). This selective binding facilitates targeted uptake. Upon internalization, LF orchestrates a direct assault by inducing cell-cycle arrest in phases such as G0/G1 or S phase through the modulation of key regulators including cyclins, CDKs, and p53. Furthermore, it promotes programmed cell death via apoptotic pathways, involving caspase activation and downregulation of anti-apoptotic proteins such as survivin. A more recently elucidated mechanism is the induction of ferroptosis, an iron-dependent form of cell death characterized by overwhelming lipid peroxidation. Beyond direct cytotoxicity, LF acts as a potent immunomodulator. It enhances natural killer (NK) cell activity, modulates T-lymphocyte populations, and crucially reprograms tumor-associated macrophages (TAMs) from a pro-tumor M2 state to an anti-tumor M1 state, thereby reversing the immunosuppressive tumor microenvironment (TME). The translation of LF’s potential has been significantly accelerated by nanotechnology. The inherent biocompatibility and natural tumor-targeting capabilities of LF make it an ideal platform for sophisticated drug-delivery systems. This review details various fabrication strategies for LF-based nanoparticles (NPs), including self-assembly, sol-in-oil emulsion, and electrostatic nanocomplexes, among others. Research demonstrates that nano-formulations not only protect LF from degradation but also enhance its bioactivity and anti-cancer potency. More importantly, LF NPs serve as versatile carriers for a wide array of therapeutic agents, including conventional chemotherapeutics, natural compounds, and imaging agents. These engineered systems enable synergistic therapy and facilitate site-specific delivery. Notably, the ability of LF to bind to receptors on the blood-brain barrier (BBB) has been leveraged to develop nano-systems for glioblastoma treatment. Other innovative designs utilize LF to modulate the TME—for instance, by alleviating tumor hypoxia to sensitize cells to radiotherapy and chemotherapy. Despite compelling pre-clinical evidence, the clinical translation of LF and its nano-formulations remains nascent. While early-phase trials have established a favorable safety profile for recombinant human LF, larger Phase III studies have yielded mixed results, underscoring the complexity of its action in humans. Key challenges include enhancing drug targeting, optimizing loading efficiency, ensuring batch-to-batch reproducibility, and achieving deep tumor penetration. Future research must focus on the rational design of next-generation LF-NPs. This entails developing standardized manufacturing protocols, engineering “smart” stimuli-responsive systems for targeted drug release in the TME, and constructing multi-targeting platforms. A concerted interdisciplinary effort is paramount to bridge the gap between bench and bedside. In conclusion, LF, particularly in its nano-engineered forms, represents a highly promising and versatile agent in the oncological arsenal, holding immense potential for precise and effective cancer therapy.

AIM To invesigate the quantitative transmitting rules of benchmark samples of Ganjiang Lingzhu Decoction.METHODS HPLC fingerprints were established,after which principal component analysis and partial least squares discriminant analysis were performed.The contents of 6-gingerol,liquiritin and glycyrrhizic acid were determined,after which their transfer rates and dry paste rate were calculated.RESULTS There were 22 common peaks in the fingerprints for 15 batches of benchmark samples with the similarities of more than 0.9.Various batches of benchmark samples were clustered into 3 categories,4 principal components demonstrated the accumulative variance contribution rate of 92.676％,and liquiritin made a great contribution to grouping.In various batches of medicinal materials-decoction pieces,decoction pieces-standard decoctions and standard decoctions-benchmark samples,the transfer rates of 6-gingerol were 84.72％-100.00％,14.29％-24.14％,88.60％-99.36％,those of liquiritin were 74.38％-100.00％,38.54％-64.20％,96.91％-100.30％,and those of glycyrrhizic acid were 68.28％-103.27％,28.48％-49.79％,92.93％-100.49％,the dry paste rate was 13.75％-16.41％.CONCLUSION The preparation process for benchmark samples of Ganjiang Lingzhu Decoction is stable,6-gingerol,liquiritin and glycyrrhizic acid can be taken as their quality markers.Fingerprint combined with content determination can provides a reference for the quality control of Ganjiang Lingzhu Decoction and their related preparations.

With the increasing demand for dynamic,real-time and rapid qualitative analysis of chemical composition in areas such as emergency response and space exploration,chip-scale mass spectrometers have attracted significant attention.These devices are expected to drive the integration of mass spectrometry with micro/nano-fabrication and intelligent sensing technologies,fostering profound innovation and breakthroughs in analytical chemistry.As an excellent mass analyzer,the ion trap exhibits numerous advantages,and its miniaturization creates favorable conditions for the high-density integration of miniature mass spectrometers.However,the reduction in ion storage capacity may compromise its sensitivity and dynamic range,rendering the study of ion unidirectional ejection in highly miniaturized ion traps of significant practical importance.In this work,a research was conducted on achieving efficient ion unidirectional ejection while maintaining high mass resolution in the extremely miniature hyperbolic linear ion trap(M-HLIT)with a field radius of 1 mm,and an electric field compensation method was proposed,which combined asymmetric electrode stretching and unbalanced RF voltage to achieve high-precision optimization of the electric field composition.Simulations showed that in an ideal structure,this method achieved 100％unidirectional ejection efficiency with the mass resolution of 518,significantly outperforming traditional asymmetric structure method(365)and unbalanced voltage method(321).Following the introduction of ion ejection slots,further optimization through bidirectional stretching and electrical parameters improved the resolution to 790 while maintaining a unidirectional ejection efficiency of 93％.This method eliminated the requirement for additional excitation voltage,offering an ideal solution for the miniature mass analyzer with high detection performance of chip-level mass spectrometers.

Objective This study sought to establish a non-alcoholic fatty liver disease(NAFLD)model in Wistar-SD hypercholesterolemia(WSHc)rats induced by a high-fat diet and to reveal the pathogenesis of NAFLD in these rats through the Srebp-1 gene.Methods After 2 weeks of dietary treatment,thirty 6-week-old WSHc rats were divided into High-fat control group,HFD+AAV no load group,and HFD+AAV group,with 10 rats in each group.The HFD+AAV no load group and HFD+AAV group were intravenously injected with a vector virus and an shRNA-containing virus,respectively.WSHc rats were fed with a normal fat diet as a normal control group.Serum levels of ALT,AST,TBIL,ALP,TBA,GLU,CHOL,and TG were measured every 2 weeks.After a further 8 weeks of feeding,the rats were euthanized and livers were excised for HE staining,Oil Red O staining,Masson staining,and Sirius red staining to observe the morphology,lipid deposition,and fibrosis of the liver tissues.RT-qPCR was performed to detect the expression of lipid metabolism-related genes namely Srebp-1,Aacs,FASN and LDLR in the livers.Furthermore,hepatocytes were isolated,cultured,and divided into a normal control group and a high-fat control group.Next,expression of the Srebp-1 gene was detected by RT-qPCR.Srebp-1 knockout(KO)hepatocytes were constructed,then TG content was detected and the lipid accumulation was observed by Oil Red O staining.Results After 10 weeks of high-fat diet treatment,serum ALT(P＜0.001),ALP(P＜0.001),TBA(P＜0.05),GLU(P＜0.001),and CHOL(P＜0.001)significantly increased in WSHc rats.Abnormal lipid deposition with formation of large vacuolar lipid droplets and fibrotic lesions in livers were observed.The mRNA expression of Srebp-1 noticeably increased in WSHc rats(P＜0.001).Moreover,compared with the high-fat control group,the ALT(P＜0.05)and GLU(P＜0.01)in the HFD+AAV group decreased,and liver lipid deposition and the formation of large vacuolar lipid droplets were alleviated.Expressions of genes such as FASN(P＜0.05)and LDLR(P＜0.01)were significantly upregulated.Additionally,there was a significant increase in the expression of Srebp-1 in hepatocytes of the high-fat control group(P＜0.001),while after Srebp-1 gene knockout,cellular TG levels decreased and the degree of lipid droplet aggregation was reduced.Conclusions The Srebp-1 gene plays a regulatory role in hepatic lipid metabolism and deposition,modulating the expression of lipid metabolism-related genes in WSHc rats with NAFLD.In vitro experiments demonstrated that downregulation of Srebp-1 alleviates lipotoxic injury in hepatocytes,suggesting that the development of NAFLD in WSHc rats is closely associated with abnormally high expressions of the Srebp-1 gene.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

OBJECTIVE: We aimed to investigate the patterns of fasting blood glucose (FBG) trajectories and analyze the relationship between various occupational hazard factors and FBG trajectories in male steelworkers. METHODS: The study cohort included 3,728 workers who met the selection criteria for the Tanggang Occupational Cohort (TGOC) between 2017 and 2022. A group-based trajectory model was used to identify the FBG trajectories. Environmental risk scores (ERS) were constructed using regression coefficients from the occupational hazard model as weights. Univariate and multivariate logistic regression analyses were performed to explore the effects of occupational hazard factors using the ERS on FBG trajectories. RESULTS: FBG trajectories were categorized into three groups. An association was observed between high temperature, noise exposure, and FBG trajectory ( P < 0.05). Using the first quartile group of ERS1 as a reference, the fourth quartile group of ERS1 had an increased risk of medium and high FBG by 1.90 and 2.21 times, respectively (odds ratio [ OR] = 1.90, 95% confidence interval [ CI]: 1.17-3.10; OR = 2.21, 95% CI: 1.09-4.45). CONCLUSION An association was observed between occupational hazards based on ERS and FBG trajectories. The risk of FBG trajectory levels increase with an increase in ERS.
Humans ; Male ; Adult ; Blood Glucose/analysis* ; China ; Prospective Studies ; Occupational Exposure/adverse effects* ; Risk Factors ; Middle Aged ; Steel ; Fasting/blood* ; Metal Workers ; East Asian People

Objectives:To investigate the impact of the Micra AV leadless pacemaker on cardiac function.Methods:A total of 76 patients who received the implantation of Micra AV leadless pacemaker due to sick sinus syndrome or atrioventricular block at Ruijin Hospital,Shanghai Jiao Tong University School of Medicine from September 2022 to April 2023 were included in this study.Among them,26 patients(34.2%)had sick sinus syndrome,and 50 patients(65.8%)had atrioventricular block.The patients were followed up for 1 year postoperatively.Cardiac function was evaluated by echocardiography,and the parameters of the pacemaker were collected through the outpatient clinic programming system.Results:After a follow-up of 120(87,181)days,compared with the preoperative state,the left ventricular ejection fraction(LVEF)decreased postoperatively([66.6±5.6]%vs.[63.8±5.2]%,P<0.001),and the cardiac output increased[(4.3±1.2)L/min vs.(5.3±1.5)L/min,P<0.001].There were no statistically significant differences in various cardiac function indexes of patients with sick sinus syndrome between the postoperative and preoperative states(all P>0.05).Compared with the preoperative state,in patients with atrioventricular block,the LVEF decreased postoperatively([67.0±5.1]%vs.[63.4±4.4]%,P<0.001),the cardiac output increased([4.2±1.1]L/min vs.[5.2±1.2]L/min,P<0.001),and the left ventricular end-diastolic diameter decreased[(49.9±5.4)mm vs.(48.6±5.0)mm,P=0.044].Firth's logistic regression analysis indicated that the preoperative LVEF(for every 1%increase,OR=1.56,95%CI:1.12-2.17,P=0.001),stroke volume(for every 1 ml increase,OR=1.15,95%CI:1.04-1.28,P=0.001),body mass index(for every 1 kg/m2 increase,OR=1.49,95%CI:1.02-2.17,P=0.020),and hypertension(OR=12.71,95%CI:1.11-145.13,P=0.039)were independent risk factors for the decrease in LVEF after surgery in patients with atrioventricular block.After the implantation of the MciraTM AV leadless pacemaker,the overall atrioventricular synchrony rate was 81.2%(68.8%,89.0%).The atrioventricular synchrony rates of patients with sick sinus syndrome and those with atrioventricular block were 70.6%(59.5%,83.4%)and 82.4%(74.2%,89.3%)respectively(P<0.05).Firth's logistic regression analysis indicated that sick sinus syndrome(OR=0.26,95%CI:0.07-0.89,P=0.029)and preoperative LVEF(for every 1%increase,OR=1.18,95%CI:1.03-1.35,P=0.015)were independent predictive factors for the atrioventricular synchrony rate>80%.Conclusions:There are differences in the impacts of the Micra AV leadless pacemaker on the LVEF and atrioventricular synchrony rate between patients with sick sinus syndrome and those with atrioventricular block.The preoperative LVEF,stroke volume,body mass index,and hypertension have independent predictive effects on the decrease in postoperative LVEF in patients with atrioventricular block.Sick sinus syndrome and preoperative LVEF are independent predictive factors for the atrioventricular synchrony rate>80%after surgery.

Objective:To Investigate the impact of blood glucose fluctuations within 24 hours of admission on the short-term (3-month) prognosis of patients with acute pancreatitis.Methods:A total of 416 patients with acute pancreatitis admitted to the Department of Gastroenterology of the First Affiliated Hospital of Nanchang University from November 2022 to October 2023 were enrolled as the research subjects. According to whether re-admission occurred within 3 months after discharge, they were divided into good prognosis group ( n=352) and poor prognosis group ( n=64). General data, laboratory indicators, and blood glucose values within 24 hours of admission [including initial blood glucose, 24-hour average blood glucose, maximum blood glucose, minimum blood glucose, standard deviation of blood glucose (SDBG), and largest amplitude of glycemic excursion (LAGE)] were compared between the two groups. Logistic regression analysis was used to identify risk factors affecting the prognosis of patients with acute pancreatitis. Receiver operating characteristic curves (ROC) were plotted and the area under the curve (AUC), sensitivity, and specificity were calculated, so as to evaluate the predictive efficacy of each indicator for the prognosis of patients with acute pancreatitis. Results:Compared with the good prognosis group, the poor prognosis group showed significantly higher levels of initial blood glucose [12.80(7.13, 17.75) mmol/L vs 8.90(6.80, 11.60) mmol/L], maximum blood glucose [16.15(13.45, 21.10) mmol/L vs 11.2(9.10, 14.40) mmol/L], SDBG [4.19(2.47, 5.03) mmol/L vs 1.79(1.15, 2.81) mmol/L], and LAGE [5.15(3.58,7.65) mmol/L vs 4.05(2.40, 5.70) mmol/L], as well as a significantly longer length of hospital stay [10.5(6, 26.75) days vs 9(6, 15) days], with all differences being statistically significant (all P value <0.05). Multivariate logistic regression analysis showed that initial blood glucose ( OR=1.201, 95% CI 1.099-1.313), SDBG ( OR=1.681, 95% CI 1.306-2.164), LAGE ( OR=1.848, 95% CI 1.524-2.240), and length of hospital stay ( OR=1.136, 95% CI 1.082-1.193) were influencing factors for the prognosis of patients with acute pancreatitis. ROC analysis showed that the AUC values for initial blood glucose, SDBG, LAGE, and length of hospital stay were 0.741(0.676-0.806), 0.794 (0.728-0.860), 0.836(95% CI 0.793-0.879), and 0.847(95% CI 0.807-0.887), respectively, with sensitivities of 80.1%, 91.8%, 60.8%, and 64.8%, and specificities of 56.3%, 56.3%, 93.8%, and 93.8%. Conclusions:Blood glucose fluctuations within 24 hours of admission are risk factors for poor prognosis in patients with acute pancreatitis.