Chinese hamster ovary (CHO) cells are the most established and versatile mammalian expression system for the large-scale production of recombinant therapeutic proteins, owing to their genetic stability, adaptability to serum-free suspension culture, and ability to perform human-like post-translational modifications. More than 70% of biologics approved by the U.S. Food and Drug Administration rely on CHO-based production platforms, underscoring their central role in modern biopharmaceutical manufacturing. Despite these advantages, CHO systems continue to face three persistent bottlenecks that limit their potential for high-yield, reproducible, and cost-efficient production: excessive metabolic burden during high-density culture, heterogeneity of glycosylation patterns, and progressive loss of long-term expression stability. This review provides an integrated analysis of recent advances addressing these challenges and proposes a forward-looking framework for constructing intelligent and sustainable CHO cell factories. In terms of metabolic regulation, excessive lactate and ammonia accumulation disrupts energy balance and reduces recombinant protein synthesis efficiency. Optimization of culture parameters such as temperature, pH, dissolved oxygen, osmolarity, and glucose feeding can effectively alleviate metabolic stress, while supplementation with modulators including sodium butyrate, baicalein, and S-adenosylmethionine promotes specific productivity (qP) by modulating apoptosis and chromatin structure. Furthermore, genetic engineering strategies—such as overexpression of MPC1/2, HSP27, and SIRT6 or knockout of Bax, Apaf1, and IGF-1R—have demonstrated significant improvements in cell viability and product yield. The combination of multi-omics metabolic modeling with artificial intelligence (AI)-based prediction offers new opportunities for building self-regulating CHO systems capable of dynamic adaptation to environmental stress. Regarding glycosylation uniformity, which determines therapeutic efficacy and immunogenicity, gene editing-based glycoengineering (e.g., FUT8 knockdown or ST6Gal1 overexpression) has enabled the humanization of CHO glycan profiles, minimizing non-human sugar residues and enhancing drug stability. Process-level strategies such as galactose or manganese co-feeding and fine control of temperature or osmolarity further allow rational regulation of glycosyltransferase activity. Additionally, in vitro chemoenzymatic remodeling provides a complementary route to construct human-type glycans with defined structures, though industrial applications remain constrained by cost and scalability. The integration of model-driven process design and AI feedback control is expected to enable real-time prediction and correction of glycosylation deviations, ensuring batch-to-batch consistency in continuous biomanufacturing. Long-term expression stability, another critical challenge, is often impaired by promoter silencing, chromatin condensation, and random genomic integration. Molecular optimization—such as the use of improved promoters (CMV, EF-1α, or CHO endogenous promoters), Kozak and signal peptide refinement, and incorporation of chromatin-opening elements (UCOE, MAR, STAR)—helps maintain durable transcriptional activity, while site-specific integration systems including Cre/loxP, Flp/FRT, φC31, and CRISPR/Cas9 can enable single-copy, position-independent gene insertion at genomic safe-harbor loci, ensuring stable, predictable expression. Collectively, this review highlights a paradigm shift in CHO system optimization driven by the convergence of genome editing, synthetic biology, and artificial intelligence. The transition from empirical optimization to rational, data-driven design will facilitate the development of programmable CHO platforms capable of autonomous regulation of metabolic flux, glycosylation fidelity, and transcriptional activity. Such intelligent cell factories are expected to accelerate the transformation from laboratory-scale research to industrial-scale, high-consistency, and economically sustainable biopharmaceutical manufacturing, thereby supporting the next generation of efficient and customizable biologics manufacturing.

Chinese hamster ovary (CHO) cells are the most established and versatile mammalian expression system for the large-scale production of recombinant therapeutic proteins, owing to their genetic stability, adaptability to serum-free suspension culture, and ability to perform human-like post-translational modifications. More than 70% of biologics approved by the U.S. Food and Drug Administration rely on CHO-based production platforms, underscoring their central role in modern biopharmaceutical manufacturing. Despite these advantages, CHO systems continue to face three persistent bottlenecks that limit their potential for high-yield, reproducible, and cost-efficient production: excessive metabolic burden during high-density culture, heterogeneity of glycosylation patterns, and progressive loss of long-term expression stability. This review provides an integrated analysis of recent advances addressing these challenges and proposes a forward-looking framework for constructing intelligent and sustainable CHO cell factories. In terms of metabolic regulation, excessive lactate and ammonia accumulation disrupts energy balance and reduces recombinant protein synthesis efficiency. Optimization of culture parameters such as temperature, pH, dissolved oxygen, osmolarity, and glucose feeding can effectively alleviate metabolic stress, while supplementation with modulators including sodium butyrate, baicalein, and S-adenosylmethionine promotes specific productivity (qP) by modulating apoptosis and chromatin structure. Furthermore, genetic engineering strategies—such as overexpression of MPC1/2, HSP27, and SIRT6 or knockout of Bax, Apaf1, and IGF-1R—have demonstrated significant improvements in cell viability and product yield. The combination of multi-omics metabolic modeling with artificial intelligence (AI)-based prediction offers new opportunities for building self-regulating CHO systems capable of dynamic adaptation to environmental stress. Regarding glycosylation uniformity, which determines therapeutic efficacy and immunogenicity, gene editing-based glycoengineering (e.g., FUT8 knockdown or ST6Gal1 overexpression) has enabled the humanization of CHO glycan profiles, minimizing non-human sugar residues and enhancing drug stability. Process-level strategies such as galactose or manganese co-feeding and fine control of temperature or osmolarity further allow rational regulation of glycosyltransferase activity. Additionally, in vitro chemoenzymatic remodeling provides a complementary route to construct human-type glycans with defined structures, though industrial applications remain constrained by cost and scalability. The integration of model-driven process design and AI feedback control is expected to enable real-time prediction and correction of glycosylation deviations, ensuring batch-to-batch consistency in continuous biomanufacturing. Long-term expression stability, another critical challenge, is often impaired by promoter silencing, chromatin condensation, and random genomic integration. Molecular optimization—such as the use of improved promoters (CMV, EF-1α, or CHO endogenous promoters), Kozak and signal peptide refinement, and incorporation of chromatin-opening elements (UCOE, MAR, STAR)—helps maintain durable transcriptional activity, while site-specific integration systems including Cre/loxP, Flp/FRT, φC31, and CRISPR/Cas9 can enable single-copy, position-independent gene insertion at genomic safe-harbor loci, ensuring stable, predictable expression. Collectively, this review highlights a paradigm shift in CHO system optimization driven by the convergence of genome editing, synthetic biology, and artificial intelligence. The transition from empirical optimization to rational, data-driven design will facilitate the development of programmable CHO platforms capable of autonomous regulation of metabolic flux, glycosylation fidelity, and transcriptional activity. Such intelligent cell factories are expected to accelerate the transformation from laboratory-scale research to industrial-scale, high-consistency, and economically sustainable biopharmaceutical manufacturing, thereby supporting the next generation of efficient and customizable biologics manufacturing.

The scientific research and innovation capabilities of medical students are intrinsically linked to the sustained and high-quality development of national healthcare initiatives.Cultivating outstanding medi-cal students with independent scientific capabilities and innovative consciousness is a critical component in the education and training of high-level medical professionals.Our investigation revealed that within the imperfections of the cultivating model,some faculty and students at medical schools have an insufficient understanding of scientific research and innovation and lack motivation for engaging in such activities,which hinder the progression of scientific research activities.Consequently,we initiated a teaching practice and exploratory study on the"tutorial system"aimed at fostering medical students'scientific research and innovation abilities.Based on the principle of"research informing teaching,teaching and research advan-cing together,"this study implements a"tutorial system"coordinated by tutors,supplemented by graduate and undergraduate student mentors,to cultivate innovative thinking,stimulate interest in scientific re-search,and enhance practical and research skills among medical students.Through collaborative efforts within"scientific research innovation teams,"various educational methods—including preliminary re-search,in-class and extracurricular activities,intra-group and inter-group interactions,and theoretical and practical applications—are employed to improve and strengthen the cultivation of medical students'scientif-ic research and innovation abilities.This study aims to provide valuable references for optimizing medical education management systems and enhancing the quality of medical student training.

Objective:To explore the protective effect of knock-down the expression of B lymphocyte induced maturation protein 1(Blimp1)gene on early liver injury in carbon tetrachloride(CCl4)-induced mouse model of liver fibrosis.Methods:C57BL/6 mice were intraderitoneal injected with 5％CCl4 olive oil solution to create mouse model of hepatic fibrosis.The expression of Blimp1 gene in the mice was re-duced by intraderitoneal injection of short hairpin RNA(shRNA)adeno-associated virus(AAV).The mice were randomly divided into 3 groups:blank test group(n=10),CCl4+AAV-shRNA-NC group(n=10)and CCl4+AAV-shRNA-Blimp1 group(n=10).After 27 days of preparation of the CCl4 mouse model,animal materials were carried out.Western blot and real-time PCR were used to detect the levels of Blimp1,α-smooth muscle actin(α-SMA),collagen type Ⅰ alpha 1(COL1A1),collagen typeⅢ alpha 1(COL3A1),and their mRNA expression levels of liver tissue in each group.The serum of each group was separated to measure aspartate transaminase(AST)and alanine transaminase(ALT)by automatic biochemical analyzer.The pathological changes of liver tissue and the degree of liver fibrosis in the mice were detected by pathological staining including hematoxylin-eosin staining,Masson,and Sirius red.Results:The expression levels of Blimp1 protein in the liver of CCl4+AAV-shRNA-NC group(2.036±0.244,t=3.690,P=0.002)were significantly increased than that of the blank test group.In the CCl4+AAV-shRNA-Blimp1 group,the expression of Blimp1 protein decreased to the basal level(0.783±0.249,t=6.223,P=0.003).Compared with the serum levels of ALT[(1 957.8±633.6)U/L]and AST[(1 808.8±260.1)U/L]in the CCl4+AAV-shRNA-NC group,the serum levels of ALT[(894.0±360.1)U/L,t=3.998,P=0.003]and AST[(820.0±100.6)U/L,t=6.141,P=0.004]in the CCl4+AAV-shRNA-Blimp1 group were significantly decreased.The pathological re-sults of the CCl4+AAV-shRNA-Blimp1 group showed that compared with the CCl4+AAV-shRNA-NC group,the infiltration of inflammatory cells in the liver tissue was reduced and the degree of fibrosis was alleviated.The level of α-SMA(0.676±0.064,t=7.930,P=0.001),COL1A1(1.426±0.143,t=6.364,P=0.003)and COL3A1(1.124±0.198,t=3.440,P=0.026)of liver in the CCl4+AAV-shRNA-Blimp1 group were significantly decreased than that of CCl4+AAV-shRNA-NC group,and the mRNA expression levels were altered as well as their protein levels.Conclusion:Blimp1 plays an important role in CCl4-induced liver fibrosis in mice,and knock-down the expression of Blimp1 gene is beneficial to protect early liver injury in mice.

Objectives:To investigate the enhancement of tumor penetration and photodynamic therapy (PDT) efficacy in triple-negative breast cancer by hyaluronidase (HAase) using a novel pH-responsive IR780-loaded photosensitive micelle.Methods:The pH-responsive IR780-loaded photosensitive micelles were prepared using the nanoprecipitation method, and their morphology, size, and encapsulation efficiency were characterized. The in vitro stability and pH-responsive drug release of the micelles were also evaluated. The cytotoxicity of the micelles on triple-negative breast cancer cells (MDA-MB-231) was assessed using a cell counting kit. A nude mouse breast cancer model was established, and HAase was injected intratumorally 24 hours before intravenous injection of the photosensitive micelles. The effect of HAase on the biodistribution and tumor uptake of the micelles was detected using small animal in vivo imaging. CD31 and HIF-1α immunofluorescence staining were performed to investigate the mechanism of HAase-enhanced tumor penetration. The body weight and tumor volume of the mice were measured, and necrosis and apoptosis of tumor tissues were assessed using HE staining and TUNEL staining, respectively. Results:Transmission electron microscopy showed that the micelles had a uniform particle size of approximately 60-70 nm, with a hydrated particle size of (98.03±0.22) nm. The IR780 encapsulation efficiency was 74.15%, with a drug loading content of 2.07%. After 7 days at 4 ℃, there was no significant change in hydrated particle size ( P=0.062). The 24-hour release rates of the micelles in PBS at pH 7.4 and 6.5 were (2.41±0.21)% and (43.69±2.09)%, respectively, showing a significant difference ( P＜0.000 1). The cytotoxicity assay revealed that the cell viability in the micelles group without light exposure was significantly higer than that in the micelles group under light exposure [(97.00±5.38)% vs. (53.27±9.00)%, P=0.000 2]. The micelles were able to target and accumulate in the tumor tissue, and this accumulation increased significantly with HAase treatment. CD31 and HIF-1α immunofluorescence staining indicated that the CD31 signal was enhanced [(0.27±0.05)% vs. (4.57±0.27)%, P＜0.000 1] and the HIF-1α signal was reduced [(5.14±0.38)% vs. (0.08±0.04)%, P＜0.000 1] in the HAase-treated group compared to that in the micelle-only group. After 11 days of treatment with HAase combined with photosensitive micelles, there was no statistically significant difference in mouse body weight ( P＞0.05). However, the tumor volume inhibition rate in the HAase-micelle-mediated PDT group was significantly higher than that in the micelle-mediated PDT group [(87.66±6.37)% vs. (25.34±12.63)%, P=0.002]. Histological staining showed a significant increase in tumor cell necrosis and apoptosis in the HAase-micelle-mediated PDT group. Conclusion:HAase enhances the deep tumor penetration and targeted accumulation of pH-responsive IR780-loaded photosensitive micelles, significantly improves the efficacy of photodynamic therapy in triple-negative breast cancer.

Objective:With the aging of the population and the increase of medical treatment in different places,chaperone services are gradually emerging,but there are problems such as insufficient training of patient navigators and lack of rules and regulations in the industry.It is necessary to strengthen supervision and standardized management to improve service quality.To explore the current situation and risks of the chaperone service industry from the perspective of patient navigators and doctors,and to provide suggestions for policy formulation.Methods:The Theory of Planned Behavior(TPB)and Knowledge-Attitude-Practice(KAP)models were developed to outline the interview.A total of 22 doctors and patient navigators were selected from 5 large Grade Three hospitals and 20 online consultation platforms in Shanghai for semi-structured interviews.The data were analyzed using"7 Steps of Data Analysis in Colaizzi Phenomenology Research".Results:The chaperone service industry faces risks such as lack of professional norms,vague definition of legal responsibilities,insufficient professional competence among practitioners,and regulatory gaps.Conclusions:We should further establish a unified industry standard and certification system,strengthen the training of patient navigators,improve the supervision of online platforms,and effectively protect the rights and interests of doctors,so as to better promote the development of the industry and provide quality services for patients and doctors.

Aortic regurgitation and mitral regurgitation are more common in elderly heart valve disease,and both may be present in some patients.Severe aortic regurgitation complicated with severe mitral regurgitation often requires surgical valve replacement,but in patients at high risk of surgery,the risk of perioperative mortality is significantly increased.Therefore,for such patients,minimally invasive interventions can significantly improve long-term patient outcomes while reducing surgical risk.This article report a case of transcatheter aortic valve replacement combined with transcatheter edge-to-edge repair in the treatment of severe aortic regurgitation combined with mitral valve prolapse,in order to explore new treatment ideas for similar cases.

Aim To investigate the effect of N6-methy-ladenosine(m6A)demethylase ALKBH5 on the prolif-eration and migration of cardiac fibroblasts(CFs)in-duced by high glucose.Methods Primary CFs were isolated from neonatal mouse hearts and identified u-sing optical and confocal microscopy.Cell activation was induced using a high-glucose medium(33 mmol·L-1 glucose).An ALKBH5 overexpression model was established by transfecting CFs with an ALKBH5 ex-pression vector in a high-glucose medium.The expres-sion of ALKBH5 in CFs was assessed through immuno-fluorescence staining,Western blot and RT-qPCR.Changes in m6A levels were evaluated using Dot blot a-nalysis.Additionally,Alterations in the expression of proliferating cell nuclear antigen(PCNA)and collagenⅠ,a pivotal fibrosis indicator,were measured using Western blot.The proliferation and migration ability of CFs were assessed through EdU staining and Transwell migration assay,respectively.Results Following treatment with high glucose,the expression of ALKBH5 in CFs notably decreased,while m6A level increased.This was accompanied by a significant increase in the expression of the proliferation marker PCNA and the fi-brosis marker collagen Ⅰ.Additionally,there was a sig-nificant improvement in the ability of proliferation and migration.Overexpression of ALKBH5 resulted in a significant decrease in the expressions of PCNA and collagen Ⅰ,leading to the inhibition of both proliferation and migration in CFs.Conclusion Overexpression of ALKBH5 suppresses the expression of PCNA and colla-gen Ⅰ,consequently reducing the proliferation and mi-gration of CFs,potentially through m6A methylation modification.

Objective To explore the effect of endoscopic surgery via trans-axilloareolar sternocleidomastoid intermuscular approach for unilateral thyroid cancer.Methods A total of 116 patients with unilateral thyroid cancer admitted to our hospital from January 2020 to March 2023 were selected,and all of them underwent unilateral thyroidectomy+isthmus resection+central lymph node dissection under endoscopy.The patients were divided into the observation group and the control group according to random number table method,with 58 cases in each group.Patients in the observation group received the trans-axilloareolar sternocleidomastoid intermuscular approach,and patients in the control group received subclavian approach.The surgical-related indicators,stress indicators[adrenocorticotropic hormone(ACTH),norepinephrine(NE),cortisol(Cor)]before and after surgery,parathyroid hormone(PTH),blood calcium level,postoperative incision aesthetics satisfaction,and occurrence of complications were compared between the two groups.Results There was no statistically significant difference in the operation time,intraoperative blood loss,or postoperative drainage volume of patients between the two groups(P>0.05).The dissection number of lymph nodes in the central region of patients in the observation group was greater than that in the control group(P<0.05).In the two groups,the levels of NE,Cor,and ACTH 1 day and 3 days after surgery were higher than those before surgery(P<0.05),and the levels of NE,Cor and ACTH 1 day after surgery were higher than those 3 days after surgery(P<0.05);the levels of NE,Cor and ACTH 1 day and 3 days after surgery of patients in the observation group were lower than those in the control group(P<0.05).In the two groups,the levels of PTH and serum calcium 1 day and 3 days after surgery were lower than those before surgery(P<0.05),and the levels of PTH and serum calcium 3 days after surgery were lower than those 1 day after surgery(P<0.05),while there were no significant differences in the levels of PTH or serum calcium 1 day and 3 days after surgery between the two groups(P>0.05).The satisfaction of postoperative incision aesthetics in the observation group(100%)was higher than that in the control group(72.41%),with statistically significant difference(P<0.05).No statistically significant difference was found in the incidence of complications between the two groups(P>0.05).Conclusion Endoscopic surgery via trans-axilloareolar sternocleidomastoid intermuscular approach is safe and feasible for unilateral thyroid cancer,which has a mild stress response and inconspicuous incisions,with high satisfaction of incision aesthetics for patients.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.