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 child, male,11 years old, Han nationality, student of Qiandongnan Miao Autonomous Prefecture, Guizhou Province, visited the General Hospital of Hunan Medical University on October 1,2024 due to“cough, chest tightness for 10 days and pericardial effusion was found for 8 days.”The child has a history of eating raw crabs. Admission examination: shortness of breath, slightly cyanotic lips, mild trifoveal symptoms, low heart sound, and routine blood showed significant eosinophil elevation. Serological examination showed that pulmonary fluke antibody IgG was positive, chest and abdomen CT and cardiac ultrasound showed a large amount of pericardial effusion, medium pleural effusion on the right side with lower right lung insufficiency, small pleural effusion on the left side, small effusion on the abdominal cavity, three-point Slight reflux of the valve. Considering that it is a clinical diagnosis case of complication flukesomyces disease, the child was given a praziquantel tablet,25 mg/kg,3 times a day, for 3 consecutive days. The treatment was treated at the above dose for 1 week interval for 1 course of treatment, and 3 courses were given. After three months, the child recovered well after the follow-up visit. The child did not complain of special discomfort, and the CT showed a small amount of effusion.

This article explores the construction and practice of the"Party Building+Health Science Popularization"model,using the"Yixian Health Science Popularization Guangdong Tour"campaign conducted by Sun Yat-sen Memorial Hospital as a case study.The initiative has achieved remarkable results.Additionally,it summarizes innovative measures,as well as uni-versal and exemplary experiences,providing new insights and pathway recommendations for public hospitals to develop the"Party Building+Health Science Popularization"model.

Objective To compare the accuracy and clinical application value of contrast-induced fractional flow reserve(cFFR),resting full-cycle ratio(RFR),and quantitative flow ratio(QFR)in evaluating coronary artery borderline lesions,using fractional flow reserve(FFR)as the gold standard.Methods A retrospective study was conducted including 143 patients with 143 lesions who underwent coronary angiography(CAG)and were tested for cFFR,RFR,QFR,and FFR at Peking University Third Hospital from September 2020 to January 2022.Clinical data,CAG lesion anatomical data,and target vessel cFFR,RFR,QFR,and FFR measurements were collected.The correlation and diagnostic concordance of cFFR,RFR,QFR,and FFR were analyzed.Results The mean age of the 143 patients was 66(58,71)years,with 90(62.9％)being male.Among them,60(42.0％)patients were diagnosed with unstable angina,and 115(80.4％)target lesions were located in the left anterior descending artery.Correlation analysis showed that RFR,QFR,and cFFR were all significantly correlated with FFR(r=0.956,r=0.861,r=0.751,P＜0.001).Bland-Altman analysis demonstrated high agreement between cFFR,RFR,QFR,and FFR.Receiver operating characteristics(ROC)curve analysis showed that the area under the curve(AUC)for RFR corresponding to FFR ≤0.80 was 0.92(95％CI 0.87-0.96),for QFR was 0.89(95％CI 0.83-0.95),and for cFFR was 0.96(95％CI 0.94-0.99).Conclusions cFFR,RFR,and QFR show high concordance with FFR,with similar diagnostic consistency between the three methods and FFR.

Patient-Reported Outcomes(PRO)is a subjective outcome indicator based on the concept of"patient-centered",in which patients report their own information such as health status,functional status,and treatment feelings,which is an ef-fective supplement to traditional objective outcome indicators.Based on the development status of the Patient Reported Outcome Measure(PROM),it systematically analyzed the concepts related to PRO with the goal of clarifying the Patient Experience Data(PED)with research value,and proposed six core types of PROs in the medical field,including health-related quality of life,health preference,health behavior,symptom burden,functional status and patient-reported experience.For each type of PRO,the key characteristics of the study were analyzed,the evidence and application directions of related PED and the production based on PED were described,and the existing international mainstream PROMs were reviewed.It is hoped that the connotation of PRO-related concepts can be comprehensively expounded,and PEDs with research significance and value can be explored,so as to provide guidance for the focus of PRO-related research in China,so as to promote the application and development of PRO in China.

Patient-Reported Outcomes(PRO)refers to a subjective outcome measure based on the concept of"patient-cen-tered",in which patients report their own health status,functional status,treatment feelings and other information,which is an ef-fective supplement to traditional objective outcome indicators.With the continuous promotion of PRO research,its application in the world is also constantly enriched.It takes the different application scenarios of PRO as the starting point and the evidence-based evidence that PRO can generate as the evaluation object,reviews the application status of PRO in the US,the European Union,the UK,Canada and other countries,regions or organizations,and summarizes the main application methods of PRO in different medical decision-making scenarios,in order to provide international experiences for the application research of PRO in China.

Objective:To systematically evaluate the efficacy and safety of nirsevimab in preventing respiratory syncytial virus (RSV) infection in infants.Methods:Randomized controlled trials (RCTs) of nirsevimab in the prevention of RSV infection in newborns and infants (≤ 2 years old) were collected by searching relevant databases at home and abroad (up to February 12, 2025). Subjects in the trial group received a single dose injection of nirsevimab, while those in the control group received placebo or no interventions, with an observation period of ≥150 days. The efficacy outcome indicators included the incidence of acute lower respiratory tract infections (LRTI), RSV-associated hospital visits, RSV-associated hospitalization, and severe RSV infection events. The safety outcome indicators were the occurrence of adverse events (AEs) after injection of nirsevimab. Quality of methodology was evaluated using bias risk assessment tool of Cochrane collaboration networks. Meta-analysis was performed using RevMan 5.4 software. The effect sizes were relative risk ( RR) and its 95% confidence interval ( CI). Results:A total of 4 RCTs and 11 051 subjects were entered in the analysis, including 6 032 subjects in the trial group and 5 019 in the control group. The results of meta-analysis showed that compared with the control group, the incidences of acute LRTI [4.94% (298/6 032) vs. 5.70% (286/5 019), RR=0.57, 95% CI: 0.41-0.81], RSV-associated hospital visits [1.85% (37/1 995) vs. 7.11% (71/998), RR=0.26, 95% CI: 0.18-0.38], RSV-associated hospitalization [0.31% (19/6 032) vs. 1.75% (88/5 019), RR=0.17, 95% CI: 0.07-0.43], and severe RSV infection events [0.10% (5/5 038) vs. 1.52% (69/4 523), RR=0.07, 95% CI: 0.03-0.17] in the trial group were significantly lower, and the differences were statistically significant (all P<0.001). The differences in incidences of AEs, grade ≥3 AEs, AEs of great concern, and death events in the 2 groups during the observation period were not significant (all P>0.05), and no nirsevimab-related death events occurred. Conclusion:Nirsevimab is effective in preventing RSV infection in infants and has a good safety profile.

microRNA(miRNA),as a short non-coding RNA molecule,regulates bone-immune signal and stress response through transcription,translation as well as the combination of shear process,exerting the effect of promoting angiogenesis and repairing damage bone;type H vessels play a role in the cou-pling of angiogenesis and osteogenesis in the formation of new bone and promoting bone regeneration at the defect site.In re-cent years,miRNA regulates hypoxia inducible factor 1α(HIF-1 α)/vascular endothelial growth factor(VEGF),Notch,plate-let-derived growth factor-BB(PDGF-BB),Wnt/glycogen syn-thase kinase-3 β(GSK3 β)to affect the migration,recruitment,proliferation and differentiation of endothelial cells(ECs)and osteoblast(OB),promote the coupling of H-type vessels and os-teoblasts to improve bone homeostasis,and then prevent and treat bone metabolic diseases.This article explains the role of miRNA in regulating H-type vascular osteogenic coupling to provide tar-gets and pathways for improving bone homeostasis.In addition,the active ingredients of traditional Chinese medicine affect the differential expression of miRNA to promote H-type angiogenesis and provide strategies for clinical prevention and treatment of bone metabolic diseases.

BACKGROUND: The clinical impact of post-percutaneous coronary intervention (PCI) quantitative flow ratio (QFR) in patients treated with PCI for chronic total occlusion (CTO) was still undetermined. METHODS: All CTO vessels treated with successful anatomical PCI in patients from PANDA III trial were retrospectively measured for post-PCI QFR. The primary outcome was 2-year vessel-oriented composite endpoints (VOCEs, composite of target vessel-related cardiac death, target vessel-related myocardial infarction, and ischemia-driven target vessel revascularization). Receiver operator characteristic curve analysis was conducted to identify optimal cutoff value of post-PCI QFR for predicting the 2-year VOCEs, and all vessels were stratified by this optimal cutoff value. Cox proportional hazards models were employed to calculate the hazard ratio (HR) with 95% CI. RESULTS: Among 428 CTO vessels treated with PCI, 353 vessels (82.5%) were analyzable for post-PCI QFR. 31 VOCEs (8.7%) occurred at 2 years. Mean value of post-PCI QFR was 0.92 ± 0.13. Receiver operator characteristic curve analysis shown the optimal cutoff value of post-PCI QFR for predicting 2-year VOCEs was 0.91. The incidence of 2-year VOCEs in the vessel with post-PCI QFR < 0.91 (n = 91) was significantly higher compared with the vessels with post-PCI QFR ≥ 0.91 (n = 262) (22.0% vs. 4.2%, HR = 4.98, 95% CI: 2.32-10.70). CONCLUSIONS Higher post-PCI QFR values were associated with improved prognosis in the PCI practice for coronary CTO. Achieving functionally optimal PCI results (post-PCI QFR value ≥ 0.91) tends to get better prognosis for patients with CTO lesions.