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.

With reference to the Information and Documentation-Resource Description (GB/T 3792-2021) and Bibliographical Description for Ancient Chinese Books (GB/T 3792.7-2008) and other cataloging standards and rules, drawing on the practical experience of cataloging ancient TCM books, Bibliographical Cataloging for Ancient TCM Books was formulated. This standard specifies the entry items and their order of ancient TCM books, cataloging identifier, cataloging text, cataloging information source, and cataloging item details. The standard can provide standardized and unified guiding principles and methods for the work of ancient TCM books, and promote the sharing and utilization of ancient TCM books.

Objective To compare the value of high-field strength MRI half-Fourier single shot turbo spin-echo(HASTE)sequence with high-frequency color Doppler ultrasound for the diagnosis of placenta previa combined with placenta accreta.Methods A total of 116 pregnant women with suspected high-risk placenta previa and placenta accreta who underwent cesarean section at The No.2 Hospital of Baoding from December 2019 to December 2022 were selected as research objects.All parturients took examinations of ultrasound and high-field MRI before surgery.Pathological diagnosis after cesarean section was used as the gold standard for analysis of the consistency between MRI and ultrasound results and pathological results.The value of HASTE sequence and high-frequency ultrasound in diagnosing placenta accreta was compared.Results Pathological results confirmed that 86 patients had high-risk placenta previa and placenta accreta.The positive predictive values of ultrasound,MRI,and ultrasound+MRI in diagnosis of high-risk placenta previa combined with placenta accreta were 93.51%,97.62%,and 98.81%,respectively.The negative predictive values were 64.10%,87.50%,and 90.63%,respectively.The accuracies were 83.62%,94.83%,and 96.55%,respectively.The sensitivities were 83.72%,95.35%,and 96.51%,respectively.The specificities were 83.33%,93.33%,and 96.67%,respectively.The Kappa values for consistency were 0.611,0.868,and 0.912,respectively.The accuracy of MRI in diagnosis of high-risk placenta previa combined with placenta accreta was higher than that of ultrasound(P<0.05).Conclusion 3.0 T MRI HASTE sequence has greater efficacy and higher accuracy in diagnosis of high-risk placenta previa combined with placenta accreta.

Objective To investigate the effect and mechnism of betaine(BET)in reversing chemotherapy resistance in prostate cancer(PCa)by inhibiting ATP-binding cassette subfamily B member 1(ABCB1).Methods The PCa chemotherapy-sensitive C4-2B cells were cultured,and the TaxR cells resistant to docetaxel(DTX)were established by gradient increase the concentration of DTX.The drug resistance of C4-2B and TaxR cells against DTX was assessed using CCK-8 and the colony formation experiment.Western blotting and qRT-PCR were used to detect ABCB1 expression.The TaxR cells were divided into:(1)Control group,negative control group(NC),siABCB1-1 group(transfected with siABCB1-1),and siABCB1-2 group(transfected with siABCB1-2).Western blotting was used to detect the effect of small interfering RNA on silencing ABCB1,and CCK-8 was used to detect the differences in DTX resistance between each group.(2)Different concentrations of BET(0,100,200,400,600,800 mmol/L)groups.These groups were subjected to CCK-8 to detect cell viability,and Western blotting was used to detect the protein expression of ABCB1.(3)Control group,DTX group(20 nmol/L DTX),BET group(200 mmol/L BET),and DTX+BET group(20 nmol/L DTX+200 mmol/L BET),flow cytometry was used to detect apoptosis rate and cell cycle,and Western blotting to detect the protein expression of apoptosis-related proteins(Bcl2,BAX,c-caspase-3).(4)Control group,BET group(200 mmol/L BET),wortmannin(WM)group(100 μmol/L WM),and BET+WM group(200 mmol/L BET+100 μmol/L WM).Western blotting was used to detect the protein expression of PI3K,Akt,and ABCB1.(5)Control group,BET group(200 mmol/L BET),and BAY group(10 μmol/L BAY),BAY+BET group(200 mmol/L BET+10 μmol/L BAY).Western blotting was used to detect the protein expression of NF-κB p65,p-ikBα and ABCB1.Network pharmacology combined with transcriptome sequencing was used to predict the possible pathways for BET to reverse chemotherapy resistance.Results Compared with C4-2B cells,TaxR cells showed significantly increased resistance to DTX(P<0.01),and high expression of ABCB1(P<0.01).After silencing ABCB1 with siRNA,TaxR cells'resistance to DTX was significantly inhibited(P<0.01).The inhibition rate of TaxR cells treated with 200 mmol/L BET was less than 20%,and it significantly decreased the expression of ABCB1 protein in TaxR cells(P<0.05).Compared with control group,the combination of 200 mmol/L BET and 20 nmol/L DTX resulted in higher apoptosis rate and higher S stage cell ratio,lower expression of Bcl-2 protein and higher expression of BAX and c-caspase-3 proteins than the two drugs used alone(P<0.05).Compared with control group,the combination of 200 mmol/L BET and 100 μmol/L WM significantly down-regulated the protein expression of PI3K,Akt and ABCB1(P<0.01).The combination of 200 mmol/L BET and 10 μmol/L BAY significantly down-regulated the protein expression of NF-κB p65,p-ikBα and ABCB1(P<0.01).Conclusion BET may reverse TaxR cells'chemotherapy resistance by down-regulating ABCB1 expression through the PI3K/Akt/NF-κB signaling pathway.

Objective This research was performed to identify rodent-borne pathogens in Hekou Port,Yunnan Province.Methods Rodents were captured using cages and dissected to collect their lungs,liver,spleen,and other viscera.Eight pathogens,including Yersinia pestis,Leptospira,Bartonella,and Anaplasmataceae,were identified using polymerase chain reaction amplification.Amplified pathogen sequences from positive samples were sequenced,and BLAST homology searches were conducted using GenBank to confirm pathogen identities.A phylogenetic tree of the identified pathogens was constructed using the neighbor joining method.Results The total of 31 rodents,identified as Rattus tanezumi,R.norvegicus,and Mus musculus,were captured.Among these,R.tanezumi was the dominant species,accounting for 64.52％of the total.Two pathogens,Leptospira interrogans and Neoehrlichia mikurensis,were detected,with positivity rates of 9.68％and 29.03％,respectively.No other pathogens were detected.The overall positivity rate for rodent-borne pathogens was 35.48％.Conclusions The single 16S rRNA gene fragment is insufficient for the molecular identification of all Neoehrlichia species.Accurate species identification should be based on a combined analysis of multiple genes.The prevalence of rodent-borne pathogens in Hekou Port indicates the necessity for enhanced surveillance of rodent-borne diseases and implementation of additional prevention and control measures in border ports.

Guidelines for Digital Ancient Books of TCM Indexing(T/CIATCM 119-2024)is based on the theoretical knowledge,disciplinary methods,and practical applications of TCM classical cataloging.Taking digital ancient books of TCM as the object,it systematically reveals the content of TCM knowledge,which is an essential indexing processing standard for building an intelligent retrieval system for TCM ancient books,and can provide support for the deep development and innovative utilization of TCM knowledge.It can not only promote the co-construction and sharing of ancient book resources in the TCM industry,but also promote the standardization construction and application of TCM information.This standard specifies the principles,methods,and examples of free indexing of digital ancient books of TCM based on their original content.It is applicable to the indexing and processing of digital ancient books of TCM for TCM professional libraries and related institutions,and to the data processing and construction of various types of TCM ancient book databases.

AIM To study the chemical constituents from Citri reticulatae Pericarpium Viride and their anti-triple negative breast cancer activities in vitro.METHODS The ethanolic extract of Citri reticulatae Pericarpium Viride was isolated and purified by silica gel,polyamide,MCI,Sephadex LH-20 and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The anti-triple negative breast cancer activities were screened by SRB assay,and their effects on the proliferation of triple negative breast cancer cell lines HCC1806,HCC1937 and MDA-MB-231 in vitro were evaluated.RESULTS Twenty compounds were isolated and identified as nobiletin(1),tangeritin(2),5,4'-dihydroxy-7,8-dimethoxy flavonoid(3),naringenin(4),artemetin(5),5-demethynobiletin(6),3,5,6,7,8,3',4'-pentamethoxy flavonoid(7),5,4'-dihydroxy-3,6,7,8,3'-pentamethoxyflavone(8),xanthomicrol(9),p-hydroxycinnamic acid(10),5,4'-dihydroxy-6,7,8,3'-tetramethoxyflavone(11),pectolinarigenin(12),4'-dihydroxy-5,6,7-tetramethoxyflavone(13),hispidulin(14),4',5,6,7-tetramethoxy-flavone(15),1-methyl-4-(prop-1-en-2-yl)cyclohexane-1,2-diol(16),umbelliferone(17),5-hydroxymethyl furfural(18),hydroquinone(19),1H-indole-3-carbaldehyde(20).Compound 8 showed a significant inhibitory effect with the IC50 value of(5.36±0.24)μmol/L on HCC1806 cells.CONCLUSION Compound 20 is isolated from genus Citrus for the first time,8,12-13,16-17 are isolated from this plant for the first time.Compound 8 show inhibitory effects on the proliferation of HCC1806,HCC1937 and MDA-MB-231 cells in vitro and have the strongest activities.Compounds 3-4,11-12,15,17 and 19 show strong inhibitory effect on HCC1806 cells.Compounds 15,19 also inhibit the proliferation of HCC1937 cells in vitro.

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.