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 evaluate the quality of Rubi Fructus.METHODS UPLC-Q-TOF-MS/MS was adopted in the component identification,after which the HPLC fingerprints were established,cluster analysis,principal component analysis and orthogonal partial least squares discriminant analysis were used for chemical pattern recognition.and the contents of chlorogenic acid,ferulic acid,ellagic acid,isoquercitrin,kaempferol-3-O-rutinoside,astragalin,tiliroside quercetin,kaempferol were determined.RESULTS Total 34 constituents were identified.There were 19 common peaks in the fingerprints for 31 batches of medicinal materials with the similarities of more than 0.8.Wild varieties and cultivated varieties,and medicinal materials from different producing areas could be distinguished;4 principal components demonstrated the accumulative variance contribution rate of 84.142％;8 differential components were screened,2 of which were ellagic acid and astragalin.Ellagic acid and astragalin displayed higher contents in the wild varieties than those in the cultivated varieties(P＜0.05,P＜0.01).CONCLUSION UPLC-Q-TOF-MS/MS,HPLC fingerprints combined with content determination can be used for the quality control of Rubi Fructus.

Objective:To explore the predictive value of serum interleukin-6(IL-6)combined with Montreal Cognitive Assessment(MoCA)score and CHANGE risk score for post-stroke cognitive impairment(PSCI),and to provide a basis for early identification and intervention of high-risk patients.Methods:The general data of 200 patients with acute stroke who were admitted to our hospital from October 2022 to September 2024 were retrospectively analyzed,they were divided into PSCI group(49 cases)and non PSCI group(151 cases)based on whether PSCI occurred 3 months after acute stroke.The general data of two groups were compared,multiple logistic regression was used to analyze the influencing factors of PSCI,and receiver operating characteristic(ROC)curves were used to evaluate predictive efficiency of serum IL-6,MoCA score and CHANGE risk score for of PSCI.Results:There was a statistically significant difference in age and education level between the two groups(P＜0.05).The serum IL-6 level and CHANGE risk score in the PSCI group were higher than those in the non PSCI group,while the MoCA score was lower than that in the non PSCI group(P＜0.05).Multivariate logistic regression showed that elevated IL-6 levels(OR=1.851,P=0.001)and elevated CHANGE risk scores(OR=1.076,P=0.016)were independent risk factors of the occurrence of PSCI,while elevated in MoCA score(OR=0.806,P=0.001)was a protective factor(P＜0.05).IL-6 levels,MoCA scores and CHANGE risk scores have high predictive efficiency for the occurrence of PSCI,the area under the curve(AUC)for predicting occurrence of PSCI by the three alone were 0.783,0.825 and 0.857 respectively,the AUC for the combined detection of the three indicators was 0.912,significantly higher than that of each indicator detected separately.Conclusion:Elevated serum IL-6,decreased MoCA score and increased CHANGE risk score are risk factors for PSCI,the combined detection model of the three has the highest predictive efficiency for occurrence of PSCI and can provide scientific basis for early clinical intervention.

AIM To evaluate the quality of Rubi Fructus.METHODS UPLC-Q-TOF-MS/MS was adopted in the component identification,after which the HPLC fingerprints were established,cluster analysis,principal component analysis and orthogonal partial least squares discriminant analysis were used for chemical pattern recognition.and the contents of chlorogenic acid,ferulic acid,ellagic acid,isoquercitrin,kaempferol-3-O-rutinoside,astragalin,tiliroside quercetin,kaempferol were determined.RESULTS Total 34 constituents were identified.There were 19 common peaks in the fingerprints for 31 batches of medicinal materials with the similarities of more than 0.8.Wild varieties and cultivated varieties,and medicinal materials from different producing areas could be distinguished;4 principal components demonstrated the accumulative variance contribution rate of 84.142％;8 differential components were screened,2 of which were ellagic acid and astragalin.Ellagic acid and astragalin displayed higher contents in the wild varieties than those in the cultivated varieties(P＜0.05,P＜0.01).CONCLUSION UPLC-Q-TOF-MS/MS,HPLC fingerprints combined with content determination can be used for the quality control of Rubi Fructus.

Objective:To explore the predictive value of serum interleukin-6(IL-6)combined with Montreal Cognitive Assessment(MoCA)score and CHANGE risk score for post-stroke cognitive impairment(PSCI),and to provide a basis for early identification and intervention of high-risk patients.Methods:The general data of 200 patients with acute stroke who were admitted to our hospital from October 2022 to September 2024 were retrospectively analyzed,they were divided into PSCI group(49 cases)and non PSCI group(151 cases)based on whether PSCI occurred 3 months after acute stroke.The general data of two groups were compared,multiple logistic regression was used to analyze the influencing factors of PSCI,and receiver operating characteristic(ROC)curves were used to evaluate predictive efficiency of serum IL-6,MoCA score and CHANGE risk score for of PSCI.Results:There was a statistically significant difference in age and education level between the two groups(P＜0.05).The serum IL-6 level and CHANGE risk score in the PSCI group were higher than those in the non PSCI group,while the MoCA score was lower than that in the non PSCI group(P＜0.05).Multivariate logistic regression showed that elevated IL-6 levels(OR=1.851,P=0.001)and elevated CHANGE risk scores(OR=1.076,P=0.016)were independent risk factors of the occurrence of PSCI,while elevated in MoCA score(OR=0.806,P=0.001)was a protective factor(P＜0.05).IL-6 levels,MoCA scores and CHANGE risk scores have high predictive efficiency for the occurrence of PSCI,the area under the curve(AUC)for predicting occurrence of PSCI by the three alone were 0.783,0.825 and 0.857 respectively,the AUC for the combined detection of the three indicators was 0.912,significantly higher than that of each indicator detected separately.Conclusion:Elevated serum IL-6,decreased MoCA score and increased CHANGE risk score are risk factors for PSCI,the combined detection model of the three has the highest predictive efficiency for occurrence of PSCI and can provide scientific basis for early clinical intervention.

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective:To explore the expressions of zinc homeostasis-related proteins,G protein-coupled receptor 39(GPR39)and ANO1 mRNA in the sperm of patients with asthenozoospermia(AS),and analyze their correlation with sperm motility.Methods:We collected semen samples from 82 male subjects with PR+NP＜40％,PR＜32％and sperm concentration＞15 × 106/ml(the AS group,n=40)or PR+NP≥40％,PR≥32％and sperm concentration＞15 × 106/ml(the normal control group,n=42).We analyzed the routine semen parameters and measured the zinc content in the seminal plasma using the computer-assisted sperm analysis system,detected the expressions of zinc transporters(ZIP13,ZIP8 and ZNT10),metallothioneins(MT1G,MT1 and MTF),GPR39,and calcium-dependent chloride channel protein(ANO1)in the sperm by real-time quantitative PCR(RT qPCR),examined free zinc distribution in the sperm by laser confocal microscopy,and determined the expressions of GPR39 and MT1 proteins in the sperm by immunofluorescence staining,followed by Spearman rank correlation analysis of their correlation with semen parameters.Results:There was no statistically significant difference in the zinc concentration in the seminal plasma between the AS and normal control groups(P＞0.05).Compared with the controls,the AS patients showed a significantly reduced free zinc level(P＜0.05),relative expressions of MT1G,MTF,ZIP13,GPR39 and ANO1 mRNA(P＜0.05),and that of the GPR39 protein in the AS group(P＜0.05).No statistically significant differences were observed in the relative expression levels of ZIP8,ZNT10 and MT1 mRNA between the two groups(P＞0.05).The relative expression levels of GPR39,ANO1,MT1G and MTF mRNA were positively correlated with sperm motility and the percentage of progressively motile sperm(P＜0.05).Conclusion:The expressions of zinc homeostasis proteins(MT1G,MTF and ZIP13),GPR39 and ANO1 mRNA are downregulated in the sperm of asthenozoospermia pa-tients,and positively correlated with sperm motility.

This study investigated the effects of Agrimoniae Herba-Coptidis Rhizoma(XHC-HL)-medicated serum on the proliferation, migration, invasion, and apoptosis of human colorectal cancer HT29 and HCT116 cells via the autophagy mediated by lysosome-associated membrane protein type 2A(LAMP2A). Bioinformatics analysis was conducted to explore the role of LAMP2A in the development and progression of colorectal cancer. Western blot(WB) was used to detect the expression of LAMP2A protein in colorectal cancer cell lines. Lentiviral transfection was utilized to construct LAMP2A knockdown in HT29 and overexpression in HCT116 colorectal cancer cell models. Real-time fluorescence quantitative polymerase chain reaction(real-time qPCR) was performed to assess transfection efficiency. HT29 and HCT116 cells were treated with different concentrations of XHC-HL-medicated serum. The cell counting kit-8(CCK-8) assay was used to detect cell proliferation and determine the optimal concentration and duration of medicated serum intervention. HT29 cells were divided into a normal control(NC) group, an XHC-HL(medicated serum treatment) group, and an XHC-HL+shLAMP2A(medicated serum treatment+LAMP2A knockdown) group. HCT116 cells were divided into a NC group, an XHC-HL group, and an XHC-HL+LAMP2A(medicated serum treatment+LAMP2A overexpression) group. CCK-8 was used to measure cell viability. Colony formation assay was employed to assess cell proliferation ability. Scratch and Transwell migration assays were conducted to evaluate cell migration ability, and Transwell invasion assay was used to detect cell invasion ability. Flow cytometry was adopted to determine apoptosis rates. WB and real-time qPCR were employed to detect the effect of XHC-HL on the protein and mRNA expression of LAMP2A, heat shock cognate protein 70(HSC70), heat shock protein 90(HSP90), and glyceraldehyde-3-phosphate dehydrogenase(GAPDH) in colorectal cancer cells. Differential expression analysis revealed that LAMP2A expression was significantly higher in colorectal cancer patients compared to that in normal controls. Survival analysis indicated that the key molecule of chaperone-mediated autophagy(CMA), LAMP2A, was closely associated with colorectal cancer progression. Gene set enrichment analysis showed that patients with high LAMP2A expression significantly upregulated tumor progression-related signaling pathways such as angiogenesis and immune suppression. Immune infiltration analysis found that patients with high LAMP2A expression had fewer CD8 T cell infiltrations in their tumor microenvironment. XHC-HL-medicated serum inhibited the viability of HT29 and HCT116 cells, with the optimal intervention concentration and duration being 20% and 48 hours, respectively. Compared to the NC group, XHC-HL inhibited the proliferation, migration, and invasion of HT29 and HCT116 cells, and induced apoptosis. The medicated serum treatment with LAMP2A knockdown further inhibited colorectal cancer cell proliferation, invasion, and migration, and promoted apoptosis, whereas overexpression of LAMP2A reversed the inhibitory effects of the medicated serum on proliferation, migration, and invasion, and reduced apoptosis rates. XHC-HL-medicated serum inhibited CMA by upregulating the protein and mRNA expression of LAMP2A, HSC70, and HSP90 and downregulating substrate protein GAPDH expression via the autophagy mediated by LAMP2A. In conclusion, XHC-HL-medicated serum inhibits the proliferation, migration, and invasion of colorectal cancer cells and induces apoptosis by downregulating the expression of the key CMA molecule LAMP2A and inhibiting CMA activity.
Humans ; Colorectal Neoplasms/pathology* ; Drugs, Chinese Herbal/pharmacology* ; Lysosomal-Associated Membrane Protein 2/metabolism* ; Cell Proliferation/drug effects* ; Autophagy/drug effects* ; HCT116 Cells ; Cell Movement/drug effects* ; Apoptosis/drug effects* ; HT29 Cells ; Serum/chemistry* ; Coptis chinensis