ObjectiveProtein-protein interactions (PPIs) are fundamental to the execution of biological functions within living cells. However, traditional biochemical methods, such as co-immunoprecipitation (Co-IP), often fail to capture transient, weak, or membrane-associated interactions due to the stringent detergent requirements for cell lysis. Proximity labeling (PL) has emerged in recent years as a transformative technology for mapping the proteomes of specific subcellular compartments and identifying dynamic interactomes in situ. Golgi protein 73 (GP73, also known as GOLPH2), a resident type II Golgi transmembrane protein, is a well-recognized clinical biomarker for liver diseases, including hepatocellular carcinoma (HCC). Despite its clinical significance, the comprehensive physiological and pathological functions of GP73 remain partially understood. This study aims to establish an APEX2-mediated proximity labeling system specifically targeting GP73 to map its interactome in a living cellular environment, thereby providing new insights into its molecular roles and regulatory mechanisms. MethodsTo achieve spatial specificity, we first constructed a stable cell line expressing a fusion protein consisting of GP73 and the engineered soybean peroxidase APEX2. The localization of the GP73-APEX2 fusion protein was validated to ensure it correctly targeted the Golgi apparatus. The proximity labeling reaction was initiated by incubating the cells with biotin-phenol (BP) for 30 min, followed by a brief (1 min) treatment with1 mmol/L hydrogen peroxide (H₂O₂). This catalytic reaction converts BP into highly reactive, short-lived biotin-phenoxyl radicals that covalently attach to endogenous proteins within a small labeling radius of the GP73-APEX2 enzyme. Subsequently, the cells were quenched, and biotinylated proteins were enriched using high-affinity streptavidin-coated magnetic beads. The captured “neighbor” proteins were subjected to on-bead digestion and analyzed via liquid chromatography-tandem mass spectrometry (LC-MS/MS) for high-throughput identification. Rigorous bioinformatics analysis, including Gene Ontology (GO) enrichment, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and protein-protein interaction network mapping, was performed to interpret the biological significance of the identified candidates. ResultsOur results demonstrate the successful establishment of a robust and sensitive APEX2-based proximity labeling system for GP73. We identified a total of 95 high-confidence interacting proteins that were significantly enriched in the GP73 proximity proteome compared to control groups. Bioinformatics analysis revealed that these interactors were predominantly associated with biological processes such as vesicular transport, protein localization, and, most notably, molecular functions related to “ribosome binding” and “translation regulation”. This suggested an unexpected role for the Golgi-resident GP73 in the cellular translation machinery. To validate these findings, we performed targeted biochemical assays which confirmed a direct interaction between GP73 and the subunits of the eukaryotic translation initiation factor 3 (eIF3) complex, specifically EIF3G and EIF3I. Furthermore, functional validation using the surface sensing of translation (SUnSET) assay—a non-radioactive method to monitor protein synthesis—revealed that the overexpression of GP73 significantly promoted global protein translation levels in the cell, whereas its depletion or inhibition resulted in reduced translation efficiency. ConclusionThis study successfully utilized APEX2-mediated proximity labeling to provide the first systematic map of GP73 interactome in living cells. Our findings uncover a novel, unconventional function of GP73 as a regulator of cellular protein translation, likely mediated through its interaction with the eIF3 complex. This discovery significantly broadens our understanding of the biological roles of GP73 beyond its traditional function in the Golgi apparatus and suggests that it may act as a bridge between Golgi-related trafficking and the protein synthesis machinery. Furthermore, the technical framework established in this study provides a valuable template for investigating other complex organelle-associated protein networks and resolving transient macromolecular interactions in various physiological and pathological contexts.

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 This study reports on the obligatory parasitism of water mites Arrenurus sp. on Anopheles messeae at the Manzhouli Port, Inner Mongolia, China. Methods Duing July 2024, a survey on the mosquito diversity was conducted at the Manzhouli Port. Captured mosquitoes and their ectoparasites were identified to species level. Results A total of 1840 adult mosquitoes were collected, representing species from three genera: Culex(Cx. modestus, Cx. pipiens pallens), Aedes(Ae. dorsalis, Ae. flavidorsalis, Ae. flavescens), and Anopheles (An. messeae). Among all the mosqutioes specimens,3 out of 150 captured An. messeae were found to carry ectoparasitic mites, with number of 2,4,27 mites separately. Morphological and molecular identification reached the same result as water mites(Hydrachnidiae, Hydracrina). COI gene sequence showed 94% similarity with the closest species Arrenurus truncatellus. Conlusions Literature review suggests water mites are host-specific parasitism of mosquito species and herein with the first record of Arrenurus sp. parasiting on An. Messeae in the most high-latitude region globally.

Diabetic sarcopenia (DS) is a common but often ignored skeletal muscle complication in individuals with diabetes mellitus. It is characterized by progressive loss of skeletal muscle mass, reduced muscle strength, and impaired physical performance, which may further increase the risk of falls, disabilities, metabolic disorders, and adverse clinical outcomes. Traditionally, DS has been attributed mainly to hyperglycemia, insulin resistance, aging-related muscle decline, and chronic complications of diabetes. However, increasing evidence suggests that lipid metabolic disturbance and pathological lipid metabolic reprogramming are not merely secondary consequences of diabetes, but may actively participate in the initiation and progression of DS. Under diabetic conditions, impaired fatty acid uptake, transport, oxidation, and storage disrupt skeletal muscle metabolic homeostasis, leading to ectopic lipid deposition and accumulation of lipotoxic intermediates. These lipid-derived metabolites can aggravate insulin resistance, impair mitochondrial energy production, enhance oxidative stress, activate chronic low-grade inflammation, and disturb protein synthesis and degradation balance, thereby accelerating skeletal muscle atrophy and functional decline. Lipid metabolic dysregulation may also interact with multiple pathological processes involved in DS, including mitochondrial dysfunction, inflammatory signaling, oxidative damage, impaired autophagy, and gut microbiota imbalance. These mechanisms do not occur independently; instead, they form a complex bidirectional vicious cycle with diabetes-related metabolic disorders. Specifically, mitochondrial dysfunction reduces fatty acid oxidative capacity, which further promotes lipid accumulation and lipotoxicity. Inflammatory activation can impair insulin signaling and muscle protein metabolism, while lipid overload may in turn amplify inflammatory responses. Similarly, gut microbiota dysbiosis and altered microbial metabolites may influence systemic inflammation, lipid metabolism, and skeletal muscle homeostasis. Therefore, lipid metabolic reprogramming provides an important mechanistic perspective for understanding the progression of DS from metabolic disturbance to structural and functional muscle impairment. Exercise intervention is an effective and clinically feasible non-pharmacological strategy for the prevention and management of DS. Both aerobic exercise and resistance training have been shown to improve insulin sensitivity, enhance fatty acid oxidation, increase mitochondrial biogenesis, reduce ectopic lipid deposition, and attenuate lipotoxic metabolite accumulation. These adaptations not only improved glucose and lipid metabolism, but also increased the preservation of muscle mass, muscle strength, and physical function. Moreover, combined exercise strategies may provide complementary benefits by integrating the metabolic advantages of aerobic exercise with the anabolic and functional effects of resistance training. Based on analyses of publicly available datasets and literature evidences, this review systematically summarizes the role of lipid metabolic disorders in the pathogenesis of DS, with particular attention to the molecular mechanisms linking lipid dysregulation to insulin resistance, chronic inflammation, oxidative stress, mitochondrial dysfunction, and gut microbiota disturbance. Furthermore, this review discusses the potential mechanisms by which exercise intervention improves DS through the regulation of lipid metabolic reprogramming, and outlines exercise prescription strategies in terms of modality, intensity, frequency, and duration. Understanding the interaction between lipid metabolism and skeletal muscle dysfunction may provide new theoretical evidence for early identification, mechanistic research, and precision exercise therapy in DS. Overall, targeting pathological lipid metabolic reprogramming through exercise intervention represents a promising and clinically actionable approach for improving muscle health and prognosis in individuals with DS.

Plant-derived extracellular vesicles (PDEVs) are nanoscale extracellular vesicles secreted by plant cells, characterized by a lipid bilayer structure. These vesicles carry a variety of bioactive molecules, including proteins, nucleic acids, and lipids, and play essential roles in intercellular communication and physiological regulation in plants. Compared to animal-derived extracellular vesicles, PDEVs offer several advantages, such as a broad range of sources, high biocompatibility, low immunogenicity, and low production costs. Furthermore, PDEVs have demonstrated remarkable potential as natural nanocarriers for drug delivery, due to their ability to efficiently traverse biological barriers, such as the blood-brain barrier, making them promising candidates for drug delivery systems. This review systematically elaborates on the complex composition of PDEVs, which consists of lipids, proteins, and nucleic acids, the typical structural characteristics of their lipid bilayers ranging from 30 to 150 nm, and their versatile loading capabilities as drug carriers, efficiently encapsulating various types of therapeutic agents such as hydrophilic small molecules, hydrophobic drugs, nucleic acids, and proteins. We systematically summarize the recent advancements in strategies for enhancing the loading efficiency of PDEVs, which include methods such as co-incubation, ultrasound-assisted loading, electroporation, freeze-thaw cycles, and microfluidic technology. These techniques are evaluated based on their underlying principles, suitable drug types, and their respective advantages. In addition to loading strategies, we focus on the engineered approaches to achieve targeted delivery using PDEVs, such as genetic engineering modifications, chemical ligand conjugation, membrane fusion technology, and polyethylene glycol (PEG) modification. We discuss the mechanisms of these strategies in enhancing targeting efficiency, prolonging in vivo circulation time, and improving therapeutic efficacy. Further, this review highlights the application of PDEVs in various disease models, including tumor, skin inflammation, metabolic disorders, and neurodegenerative diseases, showcasing their therapeutic potential as multifunctional delivery platforms. The ability of PDEVs to encapsulate diverse therapeutic agents and target specific tissues or cells opens up new avenues for the treatment of complex diseases, offering advantages over conventional drug delivery systems. However, despite the promising applications of PDEVs, several challenges remain in their development and clinical translation. These challenges include variability in source materials, standardization of preparation processes, quality control, scalability of production, and the need for clinical validation. To overcome these obstacles, the integration of advanced technologies such as artificial intelligence-assisted design and multi-omics analysis is proposed as a way to facilitate the precise development of PDEVs. These emerging technologies hold the potential to further enhance the precision and effectiveness of plant-based drug delivery systems, ultimately advancing the field of precision medicine. In conclusion, the use of PDEVs as a platform for drug delivery represents a promising area of research with the potential to revolutionize therapeutic strategies. Their ability to encapsulate and deliver a wide variety of bioactive molecules, along with their inherent advantages in biocompatibility and versatility, makes them a valuable tool in the development of more efficient and targeted therapeutic interventions. Continued research and innovation in this field will pave the way for the clinical implementation of PDEVs in the treatment of various diseases, offering new hope for more effective and sustainable therapeutic options.

Objective:To investigate the relationship between the severity of pharyngolaryngeal sensory impairment and swallowing biomechanics as well as the risk of penetration-aspiration in patients with dysphagia following infratentorial stroke.Methods:This retrospective cross-sectional study enrolled 51 patients with dysphagia following infratentorial stroke hospitalized in the Department of Rehabilitation Medicine of The Third Affiliated Hospital of Sun Yat-sen University between January 2022 and December 2023. Participants were categorized into three groups: normal sensation group [15 males, 2 females; age range 29-76 (56.0±13.3)years], diminished sensation group[16 males, 3 females; age range 38-80(62.0±11.8)years], and absent sensation group [14 males, 1 female; age range 44-75 (60.0±9.7)years]. All patients underwent laryngoscopy and videofluoroscopic swallowing study, which included pharyngolaryngeal sensory testing and Penetration-Aspiration Scale assessment. Swallowing temporal parameters were quantitatively analyzed. Group comparisons for different variable types were conducted using the Chi-square test, one-way ANOVA, and the Kruskal-Wallis test. The correlation between sensory groups and Penetration-Aspiration Scale scores was assessed using Spearman′s correlation analysis. Logistic regression was employed to analyze the impact of pharyngolaryngeal sensory function on penetration-aspiration events.Results:Among the 51 patients, 33.33% (17/51) had normal pharyngolaryngeal sensation, while, 66.67% (34/51) exhibited sensory impairment. The normal sensation group exhibited a significantly longer laryngeal vestibule closure (LVC) time [792 (643, 1 205) ms] compared to the diminished [528 (380, 776) ms] and absent sensation groups [380 (322, 404) ms] ( H=6.502, P=0.039). Additionally, the upper esophageal sphincter opening time was longer in the normal sensation group than in the absent sensation group [528 (371, 710) ms vs 182 (0, 710) ms, H=6.003, P=0.049]. Correlation analysis indicated a significant negative correlation between the severity of sensory impairment and Penetration-Aspiration Scale scores ( r=-0.366, P=0.008). Logistic regression analysis demonstrated that greater sensory impairment was an independent risk factor for penetration-aspiration ( OR=9.29, 95%CI=1.57-54.77, P=0.014). Conclusion:Pharyngolaryngeal sensory deficits are common after infratentorial stroke dysphagia and are significantly associated with impaired swallowing biomechanics and increased aspiration risk. The severity of sensory deficit is a key determinant of penetration-aspiration risk, highlighting its value in risk stratification and therapeutic decision-making for dysphagia.

Objective To investigate the differences in acute mountain sickness between individuals en-tering the plateau for the first time and those with multiple plateau experiences,and to examine the impact on psychological stress.Methods A total of 2 337 young plateau-acclimatized individuals from an acclimatization rotation area during November 2023 to January 2024 were selected as the study subjects.Those entering the plateau for the first time were classified into Group A(n=425),while those with previous plateau experience(at least one prior visit)were classified into Group B(n=1 912).Differences were analyzed between the two groups in terms of general characteristics,as well as acute mountain sickness(AMS)scores,Self-Rating De-pression Scale(SDS)scores,Symptom Checklist-90(SCL-90)scores,and various vital signs at the following time points:before entering the plateau(T0),on the 1st day(T1),4th day(T2),7th day(T3),and 10th day(T4)after entering the plateau.Results Group A was younger than Group B,with a statistically significant difference(P<0.05).At T1,T2,and T3,AMS scores in Group A were significantly higher than those in Group B(P<0.05).At T4,there was no statistically significant difference in AMS scores between the two groups(P>0.05).At T1,T2,and T3,blood oxygen saturation was lower and heart rate higher in Group A than in Group B,with statistically significant differences(P<0.05).After high-altitude acclimatization,no statistically significant differences in blood oxygen saturation or heart rate were observed between the groups at T4(P>0.05).At T1,there were no statistically significant differences in systolic or diastolic blood pres-sure between the groups(P>0.05).At T2,both systolic and diastolic blood pressure were higher in Group A than in Group B(P<0.05).At T3 and T4,after high-altitude acclimatization,systolic blood pressure de-creased in both groups but remained higher in Group A than in Group B(P<0.05).On the SDS scale,men-tal-emotional and somatic symptom scores were significantly higher in Group A than in Group B(P<0.001).On the SCL-90,all nine symptom factor scores were higher in Group A than in Group B(P<0.05).Conclusion Indi-viduals entering high-altitude areas for the first time experience more severe acute mountain sickness and more pronounced psychological stress.Therefore,enhanced monitoring,psychological counseling,and tailored pre-vention and treatment strategies should be implemented.

Objective To explore whether ferroptosis is involved in α-amanitin-induced hepatocyte in-jury by detecting iron deposition in mice liver tissues,oxidative stress indicators in hepatocytes and L-02 cells,and expressions of ferroptosis-related proteins after α-amanitin exposure.Methods The poi-soning models of α-amanitin C57BL/6J mice and L-02 cell were established.The Lillie ferrous iron staining and Prussian blue staining were used to detect iron deposition;the kits were applied to detect the levels of superoxide dismutase(SOD),catalase(CAT),malondialdehyde(MDA),and glutathione(GSH).Western blotting was performed to analyze expressions of p53,solute carrier family 7 member 11(SLC7A11),and glutathione peroxidase 4(GPX4).Results Compared with the control group,after α-amanitin exposure,positive cell rates of Fe2+and Fe3+in mice liver tissues increased significantly.In the liver tissues of medium(0.35 mg/kg)and high(0.45 mg/kg)dose groups and L-02 cells treated with 1 μmol/L α-amanitin,the level of GSH decreased,the level of MDA increased,and the activities of SOD and CAT decreased significantly.In addition,α-amanitin upregulated the expression of p53 in a concentration-and time-dependent manner and inhibited the expressions of SLC7A11 and GPX4.Con-clusion Ferroptosis plays an important role in α-amanitin-induced hepatocyte injury.Abnormalities of ferroptosis-related indicators can provide references for the forensic identification of α-amanitin poisoning.

Objective To investigate the relationship between serum Rho-associated coiled coil containing protein kinase 2(ROCK2),syndecan-1(SDC-1),Apelin-13 and renal function and prognosis in patients with diabetes nephropathy.Methods From November 2019 to November 2021,153 patients with diabetic nephrop-athy admitted to the hospital were selected as the study group,and 153 patients with simple diabetes were se-lected as the simple diabetes group.Another 153 healthy individuals who underwent physical examinations during the same period were selected as the healthy control group.The levels of serum ROCK2,SDC-1 and Apelin-13 were determined by enzyme-linked immunosorbent assay.Pearson correlation analysis was used to analyze the correlations between the levels of serum ROCK2,SDC-1,and Apelin-13 and the clinical data of pa-tients with urinary nephropathy.Univariate and multivariate Logistic regression analyses were conducted to analyze the influencing factors of poor prognosis in patients with diabetic nephropathy.The receiver operating characteristic(ROC)curve was drawn to analyze the predictive value of serum ROCK2,SDC-1 and Apelin-13 for poor prognosis of patients with diabetes nephropathy.Results Compared with the healthy control group,the levels of serum ROCK2 and SDC-1 in the simple diabetes group and the study group increased,the level of Apelin-13 decreased,the estimated glomerular filtration rate(eGFR)decreased,and the ratio of urinary albu-min to creatinine(UACR)increased,and the differences were statistically significant(P＜0.05).The levels of serum ROCK2,SDC-1,Apelin-13 and UACR in the study group were higher than those in the simple diabe-tes group,while eGFR was lower than that in the simple diabetes group,and the differences were statistically significant(P＜0.05).Pearson correlation analysis indicated that the levels of serum ROCK2,SDC-1,and Apelin-13 in the study group were negatively correlated with eGFR(P＜0.05),and positively correlated with renal disease stage,creatinine,24-hour proteinuria,and UACR index(P＜0.05).Compared with the good prognosis group,the levels of serum ROCK2,DCC-1,Apelin-13 and UACR in the poor prognosis group in-creased(P＜0.05),and eGFR decreased(P＜0.05).Univariate and multivariate Logistic regression analyses indicated that the levels of serum ROCK2,SDC-1,and Apelin-13 were all influencing factors for the prognosis of patients(P＜0.05).ROC curve analysis indicated that the area under the curve(AUC)for the combined prediction of poor prognosis in patients by serum ROCK2,DCC-1,and Apelin-13 levels was significantly grea-ter than that by ROCK2(Z=2.854,P=0.004)and DCC-1(Z=2.426,P=0.015)and Apelin-13(Z=2.172,P=0.030)were predicted separately.Conclusion The serum ROCK2,DCC-1 and Apelin-13 levels in patients with diabetic nephropathy increase and are related to renal function.The combination of the three has a relatively high predictive efficacy for the prognosis of patients.