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.

"Sinew prescription correspondence" is the principle of selecting prescriptions for channel sinew diseases. On the basis of the theory of syndrome differentiation and treatment， the pulse manifestation corresponds to the channel sinew syndrome， which can improve the flexibility and standardization of clinical prescriptions. From the perspective of systematic dialectical sphygmology， this paper explains the dialectical relationship between channel sinew theory and pulse body elements， pulse wall elements， pulse elements and blood flow elements， and clarifies the internal relationship between pulse manifestation and prescriptions at the level of channel sinew disease. The prescription is derived from the method， while the method is established with the syndrome， and the prescription is unified by the method. According to the theory of "sinew prescription correspondence"， the treatment ideas of channel sinew diseases were analyzed from the perspective of channel sinew distribution， functional characteristics and structural changes. On this basis， the diagnosis of channel sinew disease and the application of prescriptions are expanded， and the research on the internal treatment and diagnosis mode of "pulse manifestation-channel sinew-zang fu （脏腑）" is prospected， so as to expand the differentiation and treatment methods of channel sinew theory.

Objective To analyze the association between lifestyle and the risk of type 2 diabetes(T2D)among adult residents.Methods The data was sourced from the Shanghai Suburban Adult Cohort and Biobank.A total of 42 096 adult residents who had not developed T2D were recruited from four districts of Shanghai(Songjiang,Jiading,Minhang,and Xuhui)between 2016 and 2019.The follow-up ended on Feb 28,2023.A structured questionnaire was used to collect information on six lifestyle-related items,including smoking,alcohol consumption,BMI,waist circumference(WC),physical activity,and diet.The unhealthy lifestyle scores(UHLS)were calculated by counting the number of all the unhealthy lifestyle items,with a range of 0-6.New-onset T2D events diagnosed by physicians were obtained through the medical information system.Cox proportional hazards regression model and restricted cubic spline model were utilized to evaluate the association between unhealthy lifestyles and the risk of T2D incidence.Results About 28.1%of the participants led 4-6 unhealthy lifestyles.A total of 1 752 new T2D cases were identified during 218 513.4 person-years of follow-up.Analysis of single unhealthy lifestyle showed that abnormal WC(HR=1.5,95%CI:1.4-1.7)and abnormal BMI(HR=1.3,95%CI:1.2-1.5)were associated with an increased risk of T2D.Compared with individuals with a UHLS of 0-1,those with a UHLS of 3 and 4-6 had 30%(95%CI:1.1-1.6)and 50%(95%CI:1.2-1.8)higher risks of T2D,respectively.Each additional unhealthy lifestyle was associated with a 10%increase in T2D incidence risk(HR=1.1,95%CI:1.1-1.2).Conclusion The risk of T2D in adult residents increases with the cumulative number of unhealthy lifestyles.Adult residents with abnormal WC or BMI,or have three or more unhealthy lifestyles accumulated,will increase the risk of new-onset T2D.

Objective:To investigate the effects of toosendanin(TSN)on the proliferation,apoptosis,migration and invasion of esophageal squamous cell carcinoma(ESCC)KYSE150 cells,and to elucidate its underlying molecular mechanisms.Methods:CCK-8 assay,colony formation assay,and EdU assay were used to assess the effects of varying TSN concentrations(0.062 5,0.125,and 0.25 μmol/L)on KYSE150 cell proliferation.The impacts of TSN on the apoptosis,migration,and invasion of KYSE150 cells were evaluated using flow cytometry,wound healing assay,and Transwell chamber assay,respectively.The expression of hypoxia-inducible factor 1 alpha(HIF1A)in esophageal cancer tissues was analyzed using the GEPIA database.qPCR was used to detect the expression level of HIF1A mRNA in human esophageal epithelial Het-1A and KYSE150 cells,and in TSN-treated KYSE150 cells.Western blot(WB)was performed to detect the effects of TSN on the upstream signaling pathway AKT/mTOR of HIF1A and the expression of downstream proteins related to cell migration,invasion,and apoptosis.Results:TSN of varying concentrations significantly inhibited proliferation,migration,and invasion of KYSE150 cells and promoted apoptosis in a dose-dependent manner(P<0.05 or P<0.01).HIF1A mRNA was highly expressed in KYSE150 cells,and its expression was significantly downregulated after TSN treatment(P<0.05 or P<0.01).TSN markedly downregulated the expression of HIF1A and key upstream signaling proteins p-AKT and p-mTOR.In addition,TSN significantly suppressed the expression of downstream proteins associated with cell migration,invasion,and apoptosis,including N-cadherin,vimentin,Bcl-2,and caspase-3,while upregulating the expression of E-cadherin(P<0.05 or P<0.01).Conclusion:TSN inhibits the proliferation,migration,and invasion,and induces apoptosis in ESCC KYSE150 cells by down-regulating HIF1A expression through suppression of the AKT/mTOR signaling pathway.

Objective:To explore the diagnostic value of cardiac color Doppler ultrasonography for left ventricular hypertrophy(LVH)complicated left heart failure(LHF).Methods:A total of 117 LVH patients complicated LHF admitted in Ningde City Hospital Affiliated to Ningde Normal College between January 2019 and January 2023(heart failure group)and 100 healthy people(control group)who underwent general physical examination in our hospital simultaneously were selected for the study.Left ventricular ejection fraction(LVEF),left atrial diameter(LAD),left ventricular end-diastolic diameter(LVEDd),early diastolic peak flow velocity/late diastolic peak flow velocity(E/A)were measured by cardiac color Doppler ultrasound in two groups.Receiver operating charac-teristic(ROC)curve was used to analyze the diagnostic value of cardiac color Doppler ultrasound indexes for LVH complicated LHF.In addition,the 117 patients with LVH and LHF were divided into mild group(n=54)and moderate to severe group(n=63)according to cardiac function class.Spearman correlation analysis was used to an-alyze the associationof cardiac color ultrasound parameters with cardiac function class.Results:Compared with par-ticipants in control group,those in heart failure group had significant lower LVEF[(47.88±4.75)％ vs.(69.81±5.64)％],and significant higher LAD[(44.03±4.88)mm vs.(27.56±2.76)mm vs.],LVEDd[(55.68±5.04)mm vs.(42.19±1.38)mm],E/A[(13.04±3.58)vs.(6.60±1.67)](P＜0.001 all).ROC analysis indicated that the area under the curve(AUC)of the combination of various parameters of cardiac ultrasound for diagnosing LVH with LHF was significantly higher than those of the single tests(Combined detection:AUC=0.901,95％CI 0.853～0.937 vs LVEF:AUC=0.644,95％CI 0.577～0.708,LAD:AUC=0.703,95％CI 0.637～0.763,LVEDd:AUC=0.633,95％CI 0.565～0.697,E/A:AUC=0.748,95％CI 0.685～0.804,Z=7.062,5.764,7.292,4.864,P＜0.001 all).Compared with patients in mild group,those in moderate to severe group had signifi-cant lower LVEF[(45.67±3.37)％ vs.(50.47±4.86)％],and significant higher LAD[(46.31±4.42)mm vs.(41.36±3.98)mm],LVEDd[(60.09±1.75)mm vs.(50.53±1.41)mm]and E/A[(13.99±2.96)vs.(11.93±3.92)](P＜0.01 all).Spearman correlation analysis indicated that LVEF was negatively correlated with cardiac function class(r=-0.474),while LAD(r=0.511),LVEDd(r=0.863),E/A(r=0.269)were positively corre-lated with cardiac function class(P＜0.01 all).Conclusion:Cardiac color Doppler ultrasound could better diagnose LVH complicated LHF,and also could effectively predict the cardiac function of patients with LVH and LHF.

This review has introduced the Coronary Artery Tree description and Lesion EvaluaTion(CatLet or Hexu)angiographic scoring system,which,based solely on coronary angiography results,has characterized 6 types of right coronary artery,3 types of left descending artery,and 3 types of diagonal size,together resulting in 54 types of coronary circulation pattern.This novel angiographic scoring system can be utilized to account for coronary anatomy in its diversity,severity and complexity of diseased coronary arteries,and their subtended myocardial territories in jeopardy.The CatLet angiographic scoring system is unique in that the importance of a coronary artery is weighted according to its subtended myocardial segments,by which the variability of coronary artery has been accounted for and measured.Researchers at home and abroad have increasingly paid attention to its clinical utilities,which warrant further validation in the context of large sample size,prospective,and randomized controlled trials.The CatLet angiographic scoring system is accessible at www.catletscore.com.

Objective To investigate the application value of the subject-achieving quality control circle theory in enhan-cing medication adherence among newly diagnosed tuberculosis patients through via popular science intervention.Methods From September 2023 to April 2024,100 patients with newly diagnosed tuberculosis treated at the outpatient department were ran-domly divided into control and intervention groups,each comprising 50 cases.The control group received only routine medication education;whereas the intervention group,in addition to this,implemented popular science intervention measures based on the quality control circle theory.The medication adherence,full course completion rate,non-disease interruption rate,and self-re-ported adverse reaction rate were compared.Results After treatment,the intervention group showed higher medication adher-ence(6.76±1.02 vs.6.15±1.36),better adherence rates(78％vs.62％),and higher cure rates(76％vs.42％)than the control group,all with statistical significance.The non-disease interruption rate was also significantly lower in the intervention group(2％vs.14％).Adverse reaction reports were 6％in control and 18％in intervention group.Conclusion The subject-achieving quality control circle effectively improves medication adherence in newly diagnosed tuberculosis patients.

OBJECTIVE To investigate the result of human immunodeficiency virus(HIV)screening for the people visiting to a three-A hospital of Sichuan Province and analyze the prevalence of complications with hepatitis B virus(HBV)infection,hepatitis C virus(HCV)infection and Treponema pallidum(TP)infection in the emerging HIV infection patients.METHODS The result of HIV screening for the people who visited to Ziyang Central Hos-pital from Jan.1,2020 to Dec.31,2024 and the test results of HBV,HCV and TP for the emerging HIV infec-tion patients were collected and were summarized and statistically analyzed by SPSS.0 software.RESULTS Totally 289 891 case-times were tested for HIV,1529 cases were previously diagnosed with HIV,465 of whom were tested posi-tive for the first time,there was significant difference in the positive rate of test for the first time among the 5 years(x2=15.998,P=0.003).Totally 353 cases were confirmed positive among the 465 primary positive screening cases.Among the emerging HIV infection patients,the positive rate was higher in the male than in the female(x2=141.141,P＜0.001),and the positive rate was high among the population aged more than 40 year old(x2=11.448,P＜0.001),mi-grant workers(x2=270.110,P＜0.001)and low education level population(x2=25.911,P＜0.001).The detection rate of gp41 was up to 100.00％in strip type testing.The analysis of the ratio of relative light unit(RLU)to Cutoff val-ue(COI)in the initial screening experiment showed that when COI was greater than 50,all of the confirmed tests were positive,when COI ranged between 1 and 5,the false positive rate was 97.06％.The incidence of complica-tion with HBV infection in the emerging HIV infection patients was increased year by year(x2=20.355,P＜0.001),and the incidence of complication with HCV infection was increased in recent two years(x2=10.690,P=0.030).CONCLUSIONS There is no obvious rise of positive rate of HIV screening among the people visiting to the hospital in recent 5 years.The sensitivity of the primary screening of clinical laboratory is high without posi-tive missing test.The positive rates of HBV and HCV are increased among the emerging HIV infection patients.

OBJECTIVE To systematically analyze the functional system and construction requirements for infection prevention and control('infection control system'in short)in medical institutions so as to facilitate the effective,standardized and practical construction of the infection control system.METHODS The questionnaires were de-signed based on the relevant criteria and literatures that were released in China with the combination of expect con-sultant and were distributed to experts or professionals involving multiple fields such as hospital infection manage-ment,clinical medical treatment and information technology.The questionnaires were recycled,summarized and analyzed.RESULTS The list of functions of the infection control system(consultative draft)was formulated after review of literatures and expert consultation,including fundamental functions such as data management,case sur-veillance and intervention feedback as well as the advanced functions like target surveillance,occupational protec-tion and interconnection.The surveyed subjects agreed unanimously after the questionnaire survey that all of the function modules and elements enlisted were important,the average score of importance was more than 4 points,the score of coefficient of variable(CV)for importance of the function modules was less than 0.25,indicating that there was high consistency in the opinions among the surveyed subjects.The element of tracing and epidemiologi-cal survey function was adopted and added according to the feedback suggestions from some of the subjects;two function elements including data query and clinical interaction were revised,and the list of function requirements for the infection control systems was finally defined.CONCLUSION The requirements for functions of the infection control system that are determined in the study can provide important bases and data support for the research and standardized development of future infection control system.