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.

Objective To investigate the malignant phenotypic characteristics of NIH/3T3 cells induced by hexavalent chromium compound under three-dimensional (3D) culture conditions. Methods NIH/3T3 cells in the logarithmic growth phase were divided into four groups: two-dimensional (2D) control group, 2D transformation group, 3D control group, and 3D transformation group. The 2D control group underwent conventional culture, while the 3D control group was cultured with Matrigel. The 2D and 3D transformation groups were exposed to hexavalent chromium compound at a concentration of 0.25 mg/L based on their respective control conditions. Malignant transformation of NIH/3T3 cells was assessed using a soft agar colony formation assay. Malignant phenotypes were evaluated through assays of cell proliferation, apoptosis, cell cycle, wound healing, Transwell migration, and Transwell invasion. Results Cells in both the 2D and 3D transformation groups exhibited anchorage-independent growth, indicating successful malignant transformation. The colony formation rate of cells in the 3D transformation group was higher than that in the 2D transformation group [(6.17±1.31)% vs (1.00±0.41)%, P<0.01]. Compared with the 3D control group, cell proliferation, apoptosis rate, and migration cell count decreased [(100.00±0.00)% vs (95.01±3.49)%, (9.32±0.43)% vs (7.12±0.40)%, (62.50±11.27) vs (48.33±7.31), all P<0.05], while invasion cell count increased [(57.17±9.68) vs (122.83±15.41), P<0.05], and the relative migration area at 12, 24, and 48 hours also increased in 3D transformation group [(4.32±2.09)% vs (10.75±0.45)%, (5.87±1.32)% vs (11.47±0.99)%, (8.74±1.34)% vs (11.79±0.93)%, all P<0.05]. The proportions of cells in G0/G1, S, and G2/M phases between the 3D transformation and 3D control groups had no significant differences (all P>0.05). Conclusion Hexavalent chromium compounds induce key malignant phenotypes in NIH/3T3 cells, including anchorage-independent growth, reduced apoptosis, and enhanced migratory and invasive capacities.

Incretin-based drugs have demonstrated significant clinical value in weight management and the treatment of metabolic diseases by mimicking or enhancing endogenous incretin signaling. These agents primarily target multiple receptors including glucagon-like peptide-1， glucose-dependent insulinotropic polypeptide， and glucagon， exerting weight-reducing effects through multiple mechanisms such as central appetite regulation， gastrointestinal function modulation， and peripheral metabolic improvement， while further ameliorating blood glucose， blood lipids， fatty liver， and cardiorenal metabolic risks. This review focuses on incretin-based drugs， systematically summarizing the key clinical application points and relevant research progress of domestically marketed and investigational candidate drugs in the field of weight reduction. Available evidence indicates that semaglutide and tirzepatide demonstrate substantial weight reduction with multiple metabolic benefits； domestic innovative drugs represented by mazdutide and ecnoglutide also exhibit favorable weight-reducing effects and safety profiles. Regarding safety， these agents are generally well-tolerated， with the most common adverse reactions being mild-to-moderate gastrointestinal events， while potential risks including gallbladder events， pancreatitis， and mood changes require attention. In special populations， individualized assessment is warranted for use in children， elderly people， and pregnant women. Future research should focus on the screening of predictive biomarkers for efficacy， the development of long-acting oral formulations， and the accumulation of long-term safety follow-up data.

Background: Maturity-onset diabetes of the young (MODY) due to variants of hepatocyte nuclear factor 1-beta (HNF1β) (MODY5) has not been well studied in the Chinese population. This study aimed to estimate its prevalence and evaluate the application of a clinical screening method (Faguer score) in Chinese early-onset diabetes (EOD) patients. Methods: Among 679 EOD patients clinically diagnosed with type 2 diabetes mellitus (age at diagnosis ≤40 years), the exons of HNF1β were sequenced. Functional impact of rare variants was evaluated using a dual-luciferase reporter system. Faguer scores ≥8 prompted multiplex ligation-dependent probe amplification (MLPA) for large deletions. Pathogenicity of HNF1β variants was assessed following the American College of Medical Genetics and Genomics (ACMG) guidelines. Results: Two rare HNF1β missense mutations (E105K and G454R) were identified by sequencing in five patients, showing functional impact in vitro. Another patient was found to have a whole-gene deletion by MLPA in 22 patients with the Faguer score above 8. Following ACMG guidelines, six patients carrying pathogenic or likely pathogenic variant were diagnosed with MODY5. The estimated prevalence of MODY5 in Chinese EOD patients was approximately 0.9% or higher. Conclusion MODY5 is not uncommon in China. The Faguer score is helpful in deciding whether to perform MLPA analysis on patients with negative sequencing results.

Glucagon-like peptide-1 （GLP-1） receptor agonists are a novel class of antidiabetic drugs that also possess lipid- lowering and cardiovascular protective effects， with liraglutide and semaglutide being their representative medications. Based on a systematic literature search， this review summarizes the lipid-lowering mechanisms by which liraglutide and semaglutide exert direct effects on the liver and kidney （regulating autophagy， key lipid metabolism pathways， reverse cholesterol transport， etc.）， direct actions on adipose tissue （affecting adipocyte proliferation and differentiation， expression of lipid metabolism proteins， and gene transcription）， activation of sympathetic pathways through the central nervous system， and modulation of the gut microbiota. Additionally， it summarizes the clinical evidence of their lipid-lowering effects in populations with type 2 diabetes mellitus， overweight individuals， and others. These findings indicate that GLP-1 receptor agonists exert lipid-lowering effects by acting on multiple tissues or systems， providing crucial evidence for further elucidating the molecular mechanisms of these drugs in lipid regulation and exploring potential new ideas for their clinical applications.

By analyzing the understandings of water points (acupoints connected with the kidney) and its association with water (kidney), zangfu organs and meridian-collateral recorded in Suwen: Shuire Xue Lun (Discussion on Water and Heat Diseases in Plain Question), it is found that the recognition on the water points is different from that on water diseases in Huangdi Neijing (the Yellow Emperor 's Inner Classic). The recognition on the water points focuses on the core theory, "rooted at the kidney", to explain the water diseases. Besides, in association with the study on the connotation of "luo" in Huangdi Neijing, it is discovered that "yinluo" discussed in water points is actually the misunderstanding of "zang zhi yinluo" that means "the connection by the kidney". It is shown that the discussion of water points refer to the elaboration of zangfu organs and 57 acupoints connected with water (the kidney), rather than the theory of collaterals. The characteristics of these 57 acupoints involved and the related needling techniques provide a new approach to the treatment of zangfu diseases.
Acupuncture Points ; Humans ; Meridians ; China ; History, Ancient ; Medicine in Literature ; Medicine, Chinese Traditional/history* ; Acupuncture Therapy/history*

The diseases and pathological manifestations associated with chongmai (thoroughfare vessel) are the representative in the practical applications of chongmai theory. Elucidating this theory serves as a prerequisite of acupuncture and moxibustion therapy. Based on literature analysis, the diseases and clinical manifestations of chongmai recorded in the time of Huangdi Neijing (The Yellow Emperor's Inner Classic) were analyzed so as to reinterpret the diagnostic process, pathological characteristics, and clinical manifestations of disorders, and evaluate the value of chongmai theory. Chongmai diseases were identified from the palpation initially, known as the "palpation on abdominal pulse". The "qi reversion" of chongmai represents a typical clinical manifestation of chongmai diseases, such as ji (abdominal mass), jia (abdominal hematoma), and shan (hernia), occurring in different sites of the abdomen and in different pathological stages. A part of distribution of chongmai is considered in clinical manifestation, diagnosis and treatment of acupuncture and moxibustion. To emphasize the significance of chongmai in modern acupuncture-moxibustion theory and practice, the diagnostic and therapeutic patterns of the related disorders should be considered in clinical practice. The characteristics of chongmai are reflected in three aspects: qi, blood and abdomen, which are determined by both its inherent properties and the clinical manifestations of related diseases.
Humans ; Acupuncture Therapy ; Moxibustion ; History, Ancient ; Meridians ; Medicine, Chinese Traditional

Prostate cancer (PCa) ranks as the second most prevalent malignancy among men worldwide. Early diagnosis, personalized treatment, and prognosis prediction of PCa play a crucial role in improving patients' survival rates. The advancement of artificial intelligence (AI), particularly the utilization of deep learning (DL) algorithms, has brought about substantial progress in assisting the diagnosis, treatment, and prognosis prediction of PCa. The introduction of the foundation model has revolutionized the application of AI in medical treatment and facilitated its integration into clinical practice. This review emphasizes the clinical application of AI in PCa by discussing recent advancements from both pathological and imaging perspectives. Furthermore, it explores the current challenges faced by AI in clinical applications while also considering future developments, aiming to provide a valuable point of reference for the integration of AI and clinical applications.
Humans ; Prostatic Neoplasms/diagnosis* ; Male ; Artificial Intelligence ; Deep Learning ; Prognosis

Facing the requirements of promoting the healthy China initiative and improving people's health, the "bone health program" was proposed in 2024. In-depth development of a traditional Chinese medicine(TCM) prevention and control system is of strategic significance to the implementation of the "bone health program". Focusing on osteoporosis(OP), a representative disease affecting people's bone health, this paper concludes that accelerating the research on the prevention and control of OP by TCM is conducive to enhancing the knowledge and awareness of OP among the public, and it is beneficial to revealing the evolutionary pattern of OP and improving the understanding and management of this disease. Additionally, it can provide an overall framework for and strengthen the systematicity and completeness of the research on the prevention and treatment of OP by TCM. Meanwhile, it can help to explore new research paradigms and optimize the existing research model, so as to promote innovative breakthroughs in the prevention and treatment of bone health-related diseases by TCM. Under the overall layout of the "bone health program", importance should be attached to the early prevention and the innovation of very early diagnosis and intervention of OP. Emphasis should be put on the discovery of the target network of disease and treatment mechanism for revealing the core pathogenesis of OP and the therapeutic mechanism of TCM. In addition to local lesions of the bone and its clinical outcomes, attention should be paid to the development of multiple metabolic complications. The fusion of advanced interdisciplinary technologies should be promoted for OP and its complications, and thus a research and development system based on clinical application scenarios and driven by big data can be built. The measures above will facilitate the progress in the prevention and treatment of OP and other bone diseases by TCM and provide new momentum for enriching and deepening the research connotation of the "bone health program".
Osteoporosis/therapy* ; Humans ; Medicine, Chinese Traditional/methods* ; Drugs, Chinese Herbal/therapeutic use* ; China ; Bone and Bones/drug effects*