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.

Based on plasma lipidomics combined with machine learning approaches, this study aimed to screen molecular biomarkers for the diagnosis of early-stage lung cancer in elderly patients and to evaluate their diagnostic performance.

ObjectiveTo observe the effect of rehabilitation robot training on abdominal muscles thickness and balance ability in children with hemiplegia. MethodsFrom October, 2024 to December, 2025, 58 children with hemiplegia were admitted to Beijing Bo'ai Hospital and randomly divided into control group (n = 29) and experimental group (n = 29). Both groups received conventional rehabilitation treatment, and the experimental group received rehabilitation robot training in addition, for four weeks. The thickness of bilateral external oblique, internal oblique and transversus abdominis, Berg Balance Scale (BBS) score, the time of Timed Up and Go Test (TUGT), the center of pressure (COP) ellipse area, and self-selected walking speed (SWS) and maximum walking speed (MWS) of 10-meter walk test were compared before and after training. ResultsThree cases dropped out in each group. After training, the thickness of the external oblique, internal oblique and transverse abdominis on the hemiplegic side increased significantly in the experimental group (|t| > 7.280, P < 0.001, Cohen's d = 1.43~2.01), and was better in the experimental group than in the control group (|t| > 2.895, P < 0.01, Cohen's d = 0.80~1.60); the BBS score increased in both groups (|t| > 6.667, P < 0.001, Cohen's d = 1.30~4.06), and was better in the experimental group than in the control group (t = -2.721, P < 0.01, Cohen's d = 0.75). The time of TUGT decreased in both groups (t > 5.790, P < 0.001, Cohen's d = 1.14~2.68), and was better in the experimental group than in the control group (t = 2.290, P < 0.05, Cohen's d = 0.63). The SWS and MWS increased in both groups (|Z| > 2.910, P < 0.01, r = 0.40~0.68), and were better in the experimental group than in the control group (|Z| > 2.912, P < 0.05, r = 0.40~0.45), and the differences remained significant after correction. ConclusionRehabilitation robot training can improve the thickness of external oblique, the internal oblique and transversus abdominis muscles on the hemiplegic side in children with hemiplegia, and improve their balance and walking functions.

Immobilized enzyme-based enzyme electrode biosensors, characterized by high sensitivity and efficiency, strong specificity, and compact size, demonstrate broad application prospects in life science research, disease diagnosis and monitoring, etc. Immobilization of enzyme is a critical step in determining the performance (stability, sensitivity, and reproducibility) of the biosensors. Random immobilization (physical adsorption, covalent cross-linking, etc.) can easily bring about problems, such as decreased enzyme activity and relatively unstable immobilization. Whereas, directional immobilization utilizing amino acid residue mutation, affinity peptide fusion, or nucleotide-specific binding to restrict the orientation of the enzymes provides new possibilities to solve the problems caused by random immobilization. In this paper, the principles, advantages and disadvantages and the application progress of enzyme electrode biosensors of different directional immobilization strategies for enzyme molecular sensing elements by specific amino acids (lysine, histidine, cysteine, unnatural amino acid) with functional groups introduced based on site-specific mutation, affinity peptides (gold binding peptides, carbon binding peptides, carbohydrate binding domains) fused through genetic engineering, and specific binding between nucleotides and target enzymes (proteins) were reviewed, and the application fields, advantages and limitations of various immobilized enzyme interface characterization techniques were discussed, hoping to provide theoretical and technical guidance for the creation of high-performance enzyme sensing elements and the manufacture of enzyme electrode sensors.

The innate immune system can be boosted in response to subsequent triggers by pre-exposure to microbes or microbial products, known as “trained immunity”. Compared to classical immune memory, innate trained immunity has several different features. Firstly, the molecules involved in trained immunity differ from those involved in classical immune memory. Innate trained immunity mainly involves innate immune cells (e.g., myeloid immune cells, natural killer cells, innate lymphoid cells) and their effector molecules (e.g., pattern recognition receptor (PRR), various cytokines), as well as some kinds of non-immune cells (e.g., microglial cells). Secondly, the increased responsiveness to secondary stimuli during innate trained immunity is not specific to a particular pathogen, but influences epigenetic reprogramming in the cell through signaling pathways, leading to the sustained changes in genes transcriptional process, which ultimately affects cellular physiology without permanent genetic changes (e.g., mutations or recombination). Finally, innate trained immunity relies on an altered functional state of innate immune cells that could persist for weeks to months after initial stimulus removal. An appropriate inducer could induce trained immunity in innate lymphocytes, such as exogenous stimulants (including vaccines) and endogenous stimulants, which was firstly discovered in bone marrow derived immune cells. However, mature bone marrow derived immune cells are short-lived cells, that may not be able to transmit memory phenotypes to their offspring and provide long-term protection. Therefore, trained immunity is more likely to be relied on long-lived cells, such as epithelial stem cells, mesenchymal stromal cells and non-immune cells such as fibroblasts. Epigenetic reprogramming is one of the key molecular mechanisms that induces trained immunity, including DNA modifications, non-coding RNAs, histone modifications and chromatin remodeling. In addition to epigenetic reprogramming, different cellular metabolic pathways are involved in the regulation of innate trained immunity, including aerobic glycolysis, glutamine catabolism, cholesterol metabolism and fatty acid synthesis, through a series of intracellular cascade responses triggered by the recognition of PRR specific ligands. In the view of evolutionary, trained immunity is beneficial in enhancing protection against secondary infections with an induction in the evolutionary protective process against infections. Therefore, innate trained immunity plays an important role in therapy against diseases such as tumors and infections, which has signature therapeutic effects in these diseases. In organ transplantation, trained immunity has been associated with acute rejection, which prolongs the survival of allografts. However, trained immunity is not always protective but pathological in some cases, and dysregulated trained immunity contributes to the development of inflammatory and autoimmune diseases. Trained immunity provides a novel form of immune memory, but when inappropriately activated, may lead to an attack on tissues, causing autoinflammation. In autoimmune diseases such as rheumatoid arthritis and atherosclerosis, trained immunity may lead to enhance inflammation and tissue lesion in diseased regions. In Alzheimer’s disease and Parkinson’s disease, trained immunity may lead to over-activation of microglial cells, triggering neuroinflammation even nerve injury. This paper summarizes the basis and mechanisms of innate trained immunity, including the different cell types involved, the impacts on diseases and the effects as a therapeutic strategy to provide novel ideas for different diseases.

Objective To explore the effectiveness of the"apprenticeship case-based teaching"method in the in-struction of traditional Chinese medicine(TCM)formulas for nursing students.Methods A quasi-experimental study was conducted with 135 undergraduate nursing students from the 2023 cohort at Peking Union Medical Col-lege.Participants were randomly assigned to an experimental group(receiving apprenticeship case-based teaching)or a control group(receiving conventional teaching).Teaching effectiveness was evaluated through classroom in-struction followed by a routine test.The test covered the indications and key diagnostic points of eight representative TCM formulas.Results The experimental group overruns the control group on most test items.Statistically signifi-cant differences(P＜0.05)were observed in questions related to Ma Huang Tang,Xiao Chai Hu Tang,Da Cheng Qi Tang,Liu Wei Di Huang Wan,and Ba Zheng San.Conclusions The apprenticeship case-based teaching meth-od significantly enhances students'learning gain about key diagnostic principles in TCM formulas and improves ca-pacity building of clinical reasoning.This method should be shared by schools of nursing in the teaching reformation of TCM curriculum.

Objective To investigate the association between high-density lipoprotein cholesterol(HDL-C)levels and all-cause and cause-specific mortality in the elderly population,and to determine the optimal HDL-C concentration range associated with the lowest mortality risk.Methods This prospective cohort study included 16,632 elderly individuals aged≥60 years from the National Health and Nutrition Examination Survey(NHANES)between 1999 and 2018.Participants were divided into 5 groups based on HDL-C levels:<40 mg/dl group(n=2933),40-49 mg/dl group(n=4602),50-59 mg/dl group(n=3824),60-79 mg/dl group(n=3988),and≥80 mg/dl group(n=1285).Mortality data were obtained by linking records with the National Death Index(NDI).Cox proportional hazards regression and restricted cubic spline curves were used to analyze the association between HDL-C and mortality risk.Subgroup and sensitivity analyses were conducted.Results Multivariable-adjusted Cox models showed that,compared with 50-59 mg/dl HDL-C group,HDL-C<40 mg/dl group had significantly higher risks of all-cause mortality(HR=1.17,95%CI 1.05-1.31,P=0.006),cardiovascular mortality(HR=1.32,95%CI 1.08-1.58,P=0.001),and non-cardiovascular mortality(HR=1.14,95%CI 1.02-1.27,P=0.013).HDL-C≥80 mg/dl group had significantly higher risks of all-cause mortality(HR=1.18,95%CI 1.03-1.35,P=0.027)and non-cardiovascular mortality(HR=1.23,95%CI 1.03-1.46,P=0.029),but no significant effect on cardiovascular mortality(HR=1.07,95%CI 0.88-1.28,P=0.492).Restricted cubic spline curves revealed U-shaped associations between HDL-C and all-cause/non-cardiovascular mortality,and an inverse J-shaped association with cardiovascular mortality.These patterns were consistent in both elderly men and women.The HDL-C levels associated with the lowest risk were 56 mg/dl(95%CI 53-59 mg/dl)for all-cause mortality,54 mg/dl(95%CI 51-57 mg/dl)for cardiovascular mortality,and 59 mg/dl(95%CI 56-62 mg/dl)for non-cardiovascular mortality.Subgroup analyses showed no significant effect modifications.Sensitivity analyses confirmed the primary findings.Conclusions In the elderly population,extremely high HDL-C levels increase the risks of all-cause mortality and non-cardiovascular mortality,but do not elevate cardiovascular mortality.The risk of all-cause mortality is the lowest at an HDL-C concentration of 56 mg/dl.

Objective To analyze the distribution characteristics of TCM syndromes in patients with mild cognitive impairment of coronary heart disease(CHD-MCI);To provide reference for the TCM prevention and treatment of CHD-MCI.Methods A prospective,cross-sectional study design was adopted to collect general information and TCM diagnosis information of CHD-MCI patients who attended Xiyuan Hospital of China Academy of Chinese Medical Sciences from July 2022 to December 2023.Descriptive statistics were conducted,retaining the main syndrome entries.Multivariate statistical methods such as factor analysis and clustering analysis were used to enrich and summarize the TCM syndrome characteristics of CHD-MCI patients and analyze their distribution patterns.Results This study collected information on the TCM four diagnostic methods from 220 CHD-MCI patients,retaining clinical syndrome items with a frequency of>20%,including 29 symptoms and 13 tongue pulse information.Common clinical symptoms included chest tightness,thirst,palpitations,chest pain,fatigue,severe physical activity or fatigue,dizziness and soreness in the waist and knees.Common tongue symptoms included greasy tongue coating,yellow tongue coating and dull red tongue.Common pulse conditions included pulse string,sinking pulse and astringency.Factor analysis was conducted on 42 variable items,obtaining 17 common factors with a cumulative contribution rate of 66.298%.Based on this,clustering analysis was applied,combined with clinical diagnosis and treatment experience and expert group opinions,to determine that there were four common types of TCM syndromes in CHD-MCI(ranked from high to low in proportion):kidney deficiency and blood stasis syndrome(38.18%),qi stagnation and blood stasis syndrome(28.18%),heart kidney deficiency syndrome(25.00%)and qi deficiency and phlegm obstruction syndrome(8.64%).Conclusion Patients with CHD-MCI can be classified into four types of TCM syndromes,with kidney deficiency and blood stasis syndrome being the most common.Based on the information from the TCM four diagnostic methods,the key points of each type of syndrome can be determined,providing a basis for the objective classification and differentiation of TCM syndromes in this disease.

Objective To compare the clinical efficacy of different urinary diversions,specifically exploring whether the flap embedding technique can improve bladder cancer patients'quality of life and reduce the incidence of related complications.Methods 63 bladder cancer patients undergoing radical cystectomy with urinary diver-sion,between December 2022 and December 2023,were divided into three groups:Ileal conduit group(n=21),flap embedding technique group(n=21),and traditional cutaneous ureterostomy group(n=21).General clini-cal data,surgical data,preoperative and postoperative renal function indicators,incidence of complications within 6 months postoperatively,and quality of life scores were compared among the groups.Results The operative time in the ileal conduit group was longer than that in the other two groups(P<0.05).The quality of life scores in the flap embedding technique group were superior to those in the traditional cutaneous ureterostomy group(P<0.05),but no significant difference was found compared to the ileal conduit group(P>0.05).In terms of postoperative complications,the incidence of intestinal obstruction in the flap embedding technique group was lower than that in the ileal conduit group(P<0.05),and the rate of reinsertion of a single-J stent for hydronephrosis in the flap embedding technique group was lower than that in the traditional cutaneous ureterostomy group(P<0.05).Postop-erative serum creatinine levels in the traditional cutaneous ureterostomy group were significantly higher than preop-erative levels(P<0.05),while no significant differences in renal function indicators were observed in the other two groups(P>0.05).Conclusion The flap embedding technique significantly improves patients'quality of life and reduces the incidence of postoperative complications.It is worthy of further promotion in clinical practice.