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.

Objective To investigate the clinical safety and efficacy of predictive extracorporeal membrane oxygenation (ECMO) support during liver transplantation in high-risk recipients. Methods A single-center retrospective study was conducted. A total of 35 liver transplant recipients who underwent predictive ECMO assistance during surgery at the Second Affiliated Hospital of Guangxi Medical University from January 2021 to April 2025 were included. Baseline characteristics, ECMO application, ECMO operating parameters and hemodynamic conditions during ECMO operation were analyzed. The cumulative survival rate was calculated using the Kaplan-Meier method and survival curves were plotted. Results Veno-arterial ECMO in 35 recipients was established after induction of general anesthesia. The median ECMO operation time was 8.5 h, and the success rate of weaning from ECMO was 97%. The cardiac index (CI) during the non-liver period and the new liver period was higher than that before cannulation, and CI increased during the non-liver period and before weaning (all P<0.001). The mean invasive arterial pressure and central venous pressure remained stable. No ECMO-related complications occurred in the recipients. The average survival time was (25 ± 3) months. The main causes of death were severe pulmonary infection and multiple organ failure. Conclusions For liver transplant recipients with severe cardiopulmonary dysfunction, hemodynamic disorders, or multiple organ failure risk factors, implementing predictive ECMO support during liver transplantation through active risk prediction is a safe and effective circulatory guarantee strategy.

Objective To identify the cuproptosis genes associated with prognosis and immune microenvironment in lung cancer with the use of bioinformatics.Methods The lung cancer dataset used in this study was obtained from the TCGA database.The cuproptosis-related genes(CRGs)were obtained from the previously reported literature.The R software Deseq2 package was used to identify the differentially expressed genes(DEGs)in lung cancer.The intersection of DEGs and CRGs was taken to obtain the differentially expressed CRGs(DE-CRGs).COX analysis and R software rms package were used to identify DE-CRGs associated with the prognosis of lung cancer.Estimate and Cibersort algorithms were applied to identify the correlation of DE-CRGs with the immune microenvironment.Results Compared to the normal tissues,a total of 5,269 DEGs were present in lung cancer tissues in the TCGA database,and there were 11 shared genes between DEGs and CRGs.The 11 DE-CRGs mainly regulated the energy metabolism,carbon metabolism and amino acid metabolism.In the DE-CRGs,LIPT1 was an independent risk factor for lung cancer,and the column chart constructed with the clinical features(age,TNM staging,and residual tumor)predicted the survival of lung cancer patients in a manner similar to their actual outcomes.LIPT1 showed a positive correlation with the infiltration of M1 and M2 type macrophages,activated natural killer cells cells and CD8+T cells,and showed a significant negative correlation with M0 type macrophages,activated mast cells,neutrophils and Treg cells(P<0.05).Conclusion LIPT1 may serve as a prognostic and immune microenvironment-associated cuproptosis gene,which is a novel biomarker for lung cancer therapy.

Forensic medicine has been designated as a first-level discipline,presenting new opportunities and challenges for the development of forensic medicine.Since the 1980s,the establishment of foren-sic medicine discipline and the cultivation of high-level forensic talents have become hot topics in the development of forensic medicine in China.Since the 13th Five-Year Plan,the forensic team of Shanxi Medical University has been aiming at the forefront,proposing the development goals of"Five First-class"and the discipline development path"Six Major Achievements".It has selected benchmark disci-plines,identified gaps in disciplinary development,unified thoughts,formulated completion timelines,concentrated superior resources,assigned tasks to individuals,and created an"Organized Fill-in-the-Blank Format"forensic medicine discipline construction model with the characteristics of the new era.The construction model of forensic medicine has achieved good results in the goals,discipline frame-work,scientific research,talent cultivation,discipline team and platform construction,forming a rela-tively complete discipline construction and management system,and accumulating valuable experience for the construction of first-level discipline and high-level talent cultivation of forensic medicine.

Aim To explore the key components and mechanisms of Lizhong decoction in treating rats with cold-damp diarrhea based on network pharmacology,molecular docking technology and animal experiments.Methods By literature review and database collec-tion,the components of Lizhong decoction,therapeutic targets,and the mapping with diarrhea disease targets were conducted to construct an intersection target pro-tein-protein interaction network for screening core tar-gets,and GO and KEGG pathway enrichment analysis was performed to build an"active component-target-pathway"network,followed by molecular docking vali-dation.Forty-eight rats were randomly divided into the normal control group(K),model group(DG),Lizhong decoction group(LZDG),and Pulsatilla decoction group(BTDG).Subsequently,a rat cold-damp diar-rhea model was established using Senna combined with low-temperature high-humidity environment,and the rats were intervened with Lizhong decoction and Pul-satilla decoction.HE staining was used to detect path-ological changes in intestinal tissue,ELISA was em-ployed to measure the levels of peripheral blood IL-6,IL-10,IL-1 β,and TNF-α,and western blot was used to determine the expression of colon tight junction pro-teins.Results Network pharmacology initially identi-fied 125 compounds in Lizhong decoction,5 186 drug target components,438 disease targets,and 60"drug-disease"shared targets.GO and KEGG enrichment a-nalysis showed that signaling pathways such as IL-17 and TNF were highly enriched.Molecular docking in-dicated that the core components of the drug had good binding activity with corresponding key targets.Liz-hong decoction could effectively improve the clinical symptoms of rats with cold-damp diarrhea,and com-pared with the DG group,the diarrhea rate,diarrhea in-dex,and other related indicators also gradually de-creased to normal levels.Compared with the DG group,the LZDG group showed reduced inflammation levels and a recovery in energy metabolism levels.Conclusion It can regulate targets such as MMP9 and IL-17 signaling pathways through multi-components like Calycosin and formononetin to exert its therapeutic effect on cold-damp diarrhea.

Aim To investigate the possible mechanism of the myocardial protective effect of Danzhi Jiangtang capsules(DJC)on db/db mice based on NLRP3 in-flammasome-mediated pyroptosis.Methods The db/db mice were randomly divided into the model group,DJC low,medium,and high dose groups,and the met-formin group,and the db/m mice were taken as the blank group.The administration lasted for eightweeks.At the end of drug administration,blood glucose,blood lipids,cardiac enzymes and inflammatory factors were detected in each group of mice.HE and Masson stai-ning was performed to observe the morphology and fi-brosis of myocardial tissue.TUNEL staining was per-formed to detect apoptosis.RT-qPCR was performed to detect the mRNA expression of ANP,BNP and β-MHC,and Western blot was performed to detect the protein expression of NLRP3,ASC,caspase-1,cleaved-caspase-1,GSDMD and GSDMD-NT in myocardial tis-sue.Results DJC could alleviate myocardial patho-logical damage,reduce collagen deposition and apopto-sis,reduce the levels of blood glucose,blood lipid,myo-cardial enzyme and inflammatory factors in db/db mice.DJC could reduce the mRNA expressions of ANP,BNP and β-MHC,and the protein expressions of NLRP3,ASC,caspase-1,cleavedcaspase-1,GSDMD and GSDMD-NT in myocardial tissues.Conclusion DJC attenuates myocardial injury in db/db mice,prob-ably by inhibiting the activation of NLRP3 inflamma-somes,attenuating cardiomyocyte pyroptosis,and amel-iorating the inflammatory state.

Objective:To evaluate the efficacy and safety of telitacicept in the treatment of systemic lupus erythematosus (SLE) .Methods:The clinical data of 25 SLE patients who received standard therapy combined with telitacicept at the Department of Dermatology, Xiangya Second Hospital, Central South University, from 2021 to 2024 were retrospectively collected. Baseline demographic and clinical characteristics were analyzed. Changes in skin lesions, joint pain symptoms, complete blood count, and biochemical parameters at 4, 12, and 24 weeks of treatment were compared with baseline (week 0). The Wilcoxon signed-rank test was used to compare complement C3 and C4 levels before and after treatment, and univariate logistic regression analysis was performed to explore factors influencing the efficacy of telitacicept.Results:Among the 25 SLE patients, 3 were male (12.0%) and 22 were female (88.0%). Based on the SLE Disease Activity Index (SLEDAI) -2000 scores, 8 patients were mild, 13 were moderate, and 4 were severe. Of the 11 SLE patients with rashes before treatment, 6 achieved complete remission at 12 weeks. Among the 7 patients with joint pain before treatment, 4 experienced symptom resolution at 24 weeks. The proportion of patients with leukopenia at baseline and at 4, 12, and 24 weeks was 10/25 (40.0%), 0/24 (0), 1/22 (4.5%), and 2/19 (10.5%), respectively. The proportion of patients with thrombocytopenia was 6/25 (24.0%), 3/24 (12.5%), 1/22 (4.5%), and 1/19 (5.3%), respectively, and the proportion of patients with anemia was 7/25 (28.0%), 3/24 (12.5%), 1/22 (4.5%), and 1/19 (5.3%), respectively. At baseline, 11 out of 25 patients (44.0%) had proteinuria. At 12 weeks, the urinary protein quantification level (0.4 [0, 0.6] g/L) was significantly lower than at baseline (0.9 [0.8, 1.2] g/L). The SLE responder index-4 (SRI4) response rates at 4, 12, and 24 weeks were 14/18, 15/17, and 12/14, respectively. Complement C3 and C4 levels were significantly higher at 4, 12, and 24 weeks compared to baseline (all P < 0.001). Univariate logistic regression analysis showed that age, disease duration, glucocorticoid dosage, baseline complement C4 levels, antinuclear antibody titer, and SLEDAI-2K score did not significantly affect the efficacy of telitacicept (SRI4 response rate at 12 weeks) (all P > 0.05). No serious adverse reactions related to telitacicept were observed in patients. Conclusions:Telitacicept improved skin lesions, complement C3 and C4 levels, and anti-double-stranded DNA antibody levels in SLE patients. No association was found between the efficacy of telitacicept and baseline SLEDAI-2K scores, antinuclear antibody titers, or complement C4 levels, suggesting that telitacicept is an effective and safe treatment for SLE patients.

OBJECTIVE: To investigate the relationship between serum levels of fibroblast growth factor-23 (FGF-23), heparanase (HPSE) and early renal impairment (RI) in patients with multiple myeloma (MM). METHODS: A retrospective analysis was conducted on the clinical data of 125 MM patients who were initially diagnosed in the Department of Hematology of the First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology from June 2020 to June 2023. The patients were divided into RI group (>176.80 μmol/L) and non-RI group (≤176.80 μmol/L) based on their serum creatinine levels when diagnosed. The baseline data and laboratory indexes of the two groups were compared. The relationship between serum FGF-23, HPSE and early RI in MM patients was analyzed. RESULTS: Among 125 newly diagnosed MM patients, 33 cases developed early RI, accounting for 26.40%. The proportion of light chain type, blood urea nitrogen (BUN), blood uric acid, lactate dehydrogenase, FGF-23, and HPSE levels in RI group were higher than those in non-RI group (all P <0.05). There was no statistical significant difference in other data between the two groups (P >0.05). Multivariate logistic regression analysis showed that BUN, FGF-23 and HPSE were associated with early RI in MM patients (all P <0.05). The serum FGF-23 level was divided into Q1-Q4 groups by quartile, and the serum HPSE level was divided into q1-q4 groups. The correlation analysis showed that with the increase of serum FGF-23 and HPSE levels, the incidence of early RI increased (r =0.668, 0.592). Furthermore, logistic regression analysis showed that after controlling for confounding factors, elevated levels of serum FGF-23 and HPSE were still influencing factors for early RI in MM patients (OR>1, P <0.05). According to Pearson's linear correlation test, there was a positive correlation between serum FGF-23 level and HPSE level (r =0.373). CONCLUSION There is a certain correlation between serum levels of FGF-23, HPSE and early RI in MM patients, and the incidence of early RI is higher in patients with abnormally high levels of both.
Humans ; Multiple Myeloma/complications* ; Fibroblast Growth Factor-23 ; Retrospective Studies ; Fibroblast Growth Factors/blood* ; Glucuronidase/blood* ; Male ; Female ; Middle Aged ; Renal Insufficiency/blood* ; Aged

Ovarian tumor (OT) is the most lethal form of gynecologic malignancy, with minimal improvements in patient outcomes over the past several decades. Metastasis is the leading cause of ovarian cancer-related deaths, yet the underlying mechanisms remain poorly understood. Psychological stress is known to activate the glucocorticoid receptor (NR3C1), a factor associated with poor prognosis in OT patients. However, the precise mechanisms linking NR3C1 signaling and metastasis have yet to be fully elucidated. In this study, we demonstrate that chronic restraint stress accelerates epithelial-mesenchymal transition (EMT) and metastasis in OT through an NR3C1-dependent mechanism involving nuclear protein 1 (NUPR1). Mechanistically, NR3C1 directly regulates the transcription of NUPR1, which in turn increases the expression of snail family transcriptional repressor 2 (SNAI2), a key driver of EMT. Clinically, elevated NR3C1 positively correlates with NUPR1 expression in OT patients, and both are positively associated with poorer prognosis. Overall, our study identified the NR3C1/NUPR1 axis as a critical regulatory pathway in psychological stress-induced OT metastasis, suggesting a potential therapeutic target for intervention in OT metastasis.