Objective To propose a lightweight deep learning network-based segmentation method for automatic segmenta-tion of the skeletal muscle at the third cervical spine(C3)level.Methods Firstly,121 patients with head and neck tumors admitted to the Department of Oncology of Zigong First People's Hospital from January 2019 to December 2022 were selected and randomly divided into a training set,a validation set and a test set in the ratio of 7∶1∶2.Secondly,a lightweight Mamba architecture was introduced into the UNet network and an attention gate(AG)mechanism was added to the skip connection path to construct a MB-UNet network model.Finally,the trained network models were evaluated for segmentation performance on the test set,the MB-UNet network model was compared with manual segmentation over the results of determination of skeletal muscle area(SMA),and with classical network models in terms of parameter scale and computation effort including UNet,Deeplab V3+,U2Net,VMUNet and UltraLight-VMUNet models.The time required by the MB-UNet network model for predicting SMA and that by the physician with the assistance of the model was summarized.Results When used for segmenting the skeletal muscle at C3 level the constructued MB-UNet network model gained advantages over the classical models,with a Dice similarity coefficient of 88.23%,an intersection over union(IoU)ratio of 78.94%,a sensitivity of 91.27%and a 95%Hausdorff distance of 7.13 mm;the SMA determined by manual segementation was basically close to that by the MB-UNet network model;the MB-UNet network model behaved generally better than the classical network models,with the computation effort being 1.88 GFLOPS and the parameter scale being 0.77M;it took the MB-UNet network model 1.93 s for the prediction on the test set,and only 2 min for the physician to obtain satisfactory results with the assistance of the MB-UNet network model,which was significantly shorter than that by munual segmentation(20 min).Conclusion The proposed method contributes to segmenting the skeletal muscle at C3 level precisely and rapidly and calculating SMA accurately,which helps clinicians to quickly diagnose sarcopenia in patients with head and neck tumors and improves the diagnostic efficiency.[Chinese Medical Equipment Journal,2025,46(8):11-17]

Traditional Chinese medicine(TCM) processing is a unique and highly distinctive pharmaceutical technology in China. Utilizing modern scientific methods to elucidate the connotations of traditional processing theory and its effects is expected to facilitate the inheritance, development, innovation, and enhancement of TCM processing, and lead to more original research outcomes in the field of TCM. The breakthrough in TCM processing lies in the study of its underlying principles, and analyzing these principles involves researching the transformation mechanisms of chemical components and the biological effect mechanisms of the transformed components. This paper proposed the concept of "TCM processing chemical biology"(TCMPCB) for the first time. Under the guidance of TCM theory, the active components transformed during TCM processing were used as chemical tools to study their targets and molecular regulatory mechanisms, aiming to clarify the scientific principles by which TCM processing affected biological effects in the organism. The research findings also provided new directions for discovering novel active components, new lead compounds, creating new decoction pieces, and developing new TCM drugs. This paper provided a detailed introduction to the background, definition, research content, research ideas, research methods, and prospects of TCMPCB, with the aim of offering new research perspectives for analyzing the principles of TCM processing and providing new pathways for achieving the "four new and eight transformations" in TCM processing.
Drugs, Chinese Herbal/chemistry* ; Medicine, Chinese Traditional/methods* ; Humans ; Animals

Traditional Chinese medicine chemical biology(TCMCB), emerging as a pivotal discipline in the 21st century, integrates modern chemical and biological technologies to construct an innovative research system with distinctive features of traditional Chinese medicine(TCM). TCMCB proposes a research strategy that employs active components of TCM as molecular probes to identify direct targets and systematically analyze the complex biological mechanisms. Currently, TCMCB primarily achieves the optimization of active molecule structures in TCM and probe preparation through synthesis chemistry. Utilizing chemical proteomics, this approach facilitates target identification, integrates structural biology to analyze molecular interaction patterns, and combines molecular pharmacology with clinical medicine to validate biological regulatory mechanisms. This forms a methodological system that elucidates the material basis and action patterns of the efficacy of TCM from multiple dimensions. The research results provide molecular-level scientific evidence to clarify the complex and unique mechanisms of action of TCM, effectively promoting the establishment of quality standards, precision medication in traditional Chinese clinical practice, and the modernization and international promotion of TCM. Notably, TCMCB not only advances the modern scientific interpretation of TCM theories but also offers a unique cognitive perspective for modern life sciences through the discovery of new biological targets and modes of action, particularly demonstrating significant advantages in the study of regulatory mechanisms in complex disease systems. This article systematically reviews the research landscape of TCMCB over the past decade, focusing on its methodological role in advancing the modernization of TCM. In the future, TCMCB will prioritize building a technology system with independent intellectual property rights, continuously driving the innovative development of TCM theories and establishing a reference paradigm for life science research and new drug development.
Humans ; Medicine, Chinese Traditional/methods* ; Drugs, Chinese Herbal/pharmacology* ; Animals

This study investigated the protective effect of arbutin(Arb) in yam on lipopolysaccharide(LPS)-induced acute lung injury(ALI) in a mouse model and revealed its possible mechanism of action by metabolomics technology, providing a theoretical basis for clinical treatment of ALI. SPF BALB/c mice were randomly divided into normal control group, model group, resveratrol(Rv)-positive control group, Arb low-dose(15 mg·kg~(-1)) group, and Arb high-dose(30 mg·kg~(-1)) group. The LPS-induced ALI model was established in all groups except the normal control group. Hematoxylin-eosin(HE) staining, TUNEL staining, and WBP whole-body non-invasive pulmonary function testing were used to evaluate the degree of lung tissue damage and lung function changes. Enzyme-linked immunosorbent assay(ELISA) was used to detect the level of inflammatory factors in lung tissue. Flow cytometry was used to analyze the M1/M2 polarization status of macrophages in lung tissue. Western blot was used to detect the expression levels of the TLR4 signaling pathway and related apoptotic proteins. Liquid chromatograph-mass spectrometer(LC-MS) metabolomics was used to analyze the changes in serum metabolic profile after Arb intervention. The results showed that Arb pretreatment significantly alleviated LPS-induced lung tissue injury, improved lung function, reduced the levels of pro-inflammatory factors(IL-6, TNF-α, IL-18, and IL-1β), and regulated the polarization status of M1/M2 macrophages. In addition, Arb inhibited the activation of the TLR4 signaling pathway, reduced the expression of pro-apoptotic proteins such as Bax, caspase-3, and caspase-9, up-regulated the level of Bcl-2 protein, and inhibited apoptosis of lung cells. Metabolomic analysis showed that Arb significantly improved LPS-induced metabolic abnormalities, mainly involving key pathways such as galactose metabolism, phenylalanine metabolism, and lipid metabolism. In summary, Arb can significantly reduce LPS-induced ALI by regulating the release of inflammatory factors, inhibiting the activation of the TLR4 signaling pathway, improving metabolic disorders, and regulating macrophage polarization, indicating that Arb has potential clinical application value.
Animals ; Acute Lung Injury/chemically induced* ; Mice ; Mice, Inbred BALB C ; Arbutin/administration & dosage* ; Male ; Toll-Like Receptor 4/immunology* ; Apoptosis/drug effects* ; Lung/metabolism* ; Signal Transduction/drug effects* ; Protective Agents/administration & dosage* ; Humans ; Macrophages/immunology* ; Drugs, Chinese Herbal/administration & dosage*

Objective:The SF-36 Scale was utilized to compare the differences in the dimensions of survival quality between subway microwave contact personnel and administrative personnel to provide a scientific basis for improving the quality of life of microwave contact personnel.Methods:In October 2023, 264 occupational personnel exposed to microwaves were selected as the microwave exposure group, and 104 administrative personnel not exposed to microwaves in a railroad enterprise were selected as the administrative control group. The self-administered basic data questionnaire and SF-36 Scale were applied to investigate the basic conditions, daily behaviors and survival quality of the research objects. And the microwave exposure doses of each post were measured. The differences in basic conditions, daily behaviors and survival quality of the microwave exposure group and the administrative control group were analyzed. And logistic regression was used to analyze the influencing factors of survival quality in the microwave exposure group.Results:There were significant differences in gender, age, marital status, smoking status and sleep status between the microwave exposure group and the administrative control group ( P<0.05) . The microwave exposure group had lower scores than the administrative control group in the six dimensions of role physical, body pain, general health, vitality, social function, mental health and SF-36 average total score, and had higher score in reported health transition ( P<0.05) . The logistic regression analysis showed that the probability of low total SF-36 score in microwave exposure group with bachelor's degree or above was 0.46 times that of junior college degree (95% CI: 0.24-0.90, P=0.023) . The probability of low total SF-36 score in microwave exposure group with exercised 4 or more times per week was 4.27 times that of those who never or occasionally exercised (95% CI: 1.41-13.00, P=0.010) . The probabilities of low total SF-36 score in microwave exposure group with sleep light and dream, wake up in the middle night and hard to fall asleep were 11.04 and 7.38 times higher than those without sleep disturbance (95% CI: 3.35-36.32, P<0.001; 95% CI: 1.42-38.50, P=0.018) . The probability of low total SF-36 score in microwave exposure group with daily dose of 1.74 μW·h/cm 2 was 1.75 times that of the daily dose of 1.02 μW·h/cm 2 (95% CI: 1.08-3.82, P=0.008) . Conclusion:The education level, physical exercise, sleep status and microwave exposure dose are important factors affecting the survival quality of microwave exposed personnel. Occupational health education and behavioral life intervention should be strengthened to improve their survival quality.

Natural products are bioactive components with me-dicinal value extracted from plants,animals and other natural sources.Historically,over half of innovative drugs have been de-rived from natural products or their derivatives.Identifying the molecular targets of these components in the human body is cru-cial for understanding their therapeutic mechanisms and develo-ping new drugs.Despite rapid advancements in target identifica-tion technologies,the elucidation of natural product targets still faces unique challenges.In recent years,researchers have devel-oped efficient methods for target identification by integrating chemical biology,proteomics,structural biology,and artificial in-telligence technologies,combined with molecular probe strate-gies.This article reviews the principles and practical applica-tions of current mainstream target identification techniques,pro-viding practical guidance for natural product research and drug development.

Aim To investigate the intervention effect of Rehmannia radix water extract on bleomycin(BLM)-induced pulmonary fibrosis in mice combined with metabolomics and to reveal the potential mechanism,in order to provide new ideas for clinical treatment of pul-monary fibrosis.Methods Male C57BL/6N mice were randomly divided into the control group,model group,pirfenidone group(positive control,PFD,270 mg·kg-1),and low dose(DH-L,4.55 g·kg-1)group,medium dose(DH-M,9.1 g·kg-1)group and high dose(DH-H,18.2 g·kg-1)group of Rehman-nia.Except for the control group,BLM(5 mg·kg-1)was instilled into the trachea to establish the model of pulmonary fibrosis in the other groups.The survival rate,lung index and blood oxygen saturation of mice in each group were evaluated.HE and Masson staining were used to observe the pathological changes of lung tissue.WBP was used to detect lung function.Flow cytometry was used to detect the apoptosis of primary lung cells,ROS and immune cells.ELISA was used to detect the levels of fibrosis markers and inflammatory factors(α-SMA,collagen Ⅰ,collagen Ⅲ,TGF-β1,TNF-α,IL-1 β,and IL-6).Biochemical method was employed to detect the contents of GSH-Px,T-SOD and MDA.Liquid chromatograph mass spectrometer(LC-MS)metabolomics was used to analyze the changes of serum metabolic profile.Results Water extract of Re-hmannia significantly increased the survival rate,oxy-gen saturation and lung function of mice with pulmona-ry fibrosis,reduced the lung coefficient,ameliorated pathological damage and collagen deposition in lung tissue,reduced the levels of apoptosis and oxidative stress,and down-regulated the levels of inflammatory factors in lung tissue.It regulated the levels of metabo-lites such as bile acid metabolism,sphingolipid metabo-lism,and unsaturated fatty acid metabolism.Conclu-sions Water extract of Rehmannia inhibits lung injury and collagen deposition in mice with pulmonary fibrosis by inhibiting inflammatory response,which may be a-chieved by regulating the levels of inflammatory factors through the metabolic pathways of bile acid and sphin-golipid.

Background::The prevalence of type 2 diabetes mellitus (T2DM) has been rapidly growing in Chinese populations in recent decades, and the shift in eating habits is a key contributing factor to this increase. Eating out of home (EOH) is one of the major shifts in eating habits during this period. However, the influence of EOH on the incidence of T2DM among Chinese urban workers is unknown.Methods::The cross-sectional study involved an analysis of 13,904 urban workers recruited from 11 health examination centers in the major cities of China to explore the relationship between EOH and T2DM between 2013 September and 2016 March.Results::Average weekly EOH frequency ≥10 times was positively associated with increased incidence of T2DM in the sampled population (OR: 1.31 [1.11-1.54], p < 0.01), most notably in participants ≤45 years old (OR: 1.41[1.11-1.80], p < 0.01]) and in males (OR:1.26 [1.06-1.51], p < 0.01). An EOH frequency of 5 times/week appears as a threshold for a significant increase in the odds of T2DM. Weekly EOH frequency ≥5 times was associated with increased odds of T2DM in a dose-response manner in the total population and almost all subgroups ( poverall association < 0.05 and pnonlinearity ≤ 0.05). Conclusion::This study showed that a frequency of EOH (≥5 times/week) was associated with a frequency-dependent increase in the odds of T2DM urban workers in China. More nutrition promotion is needed to improve the eating behavior of Chinese urban workers to reduce T2DM risk.

Ferroptosis is a programmed cell death depends on iron and lipid peroxidation,which has been recognized as the key pathogenic factor for the occurrence of various diseases in recent years,especially playing a significant role in neurodegenerative diseases.Ferroptosis triggers lipid peroxidation and oxidative stress in neuronal cells,leading to neuronal damage and death,thereby accelerating disease progression.Hydrogen sulfide,as an endogenous gaseous signaling molecule,exhibits multiple protective effects,including anti-inflammatory,antioxidant,and anti-ferroptosis properties.Hydrogen sulfide can effectively inhibit the occurrence of ferroptosis through various mechanisms,such as regulating iron metabolism,inhibiting lipid peroxidation,and enhancing the activity of antioxidant enzymes,thereby slowing down the progression of neurodegenerative diseases.This article reviews the related research progress on hydrogen sulfide and ferroptosis and ferroptosis-mediated neurodegenerative diseases,and analyzes the underlying mechanisms,aims to provide new insights and theoretical foundations for the treatment of neurodegenerative diseases.

Background::The prevalence of type 2 diabetes mellitus (T2DM) has been rapidly growing in Chinese populations in recent decades, and the shift in eating habits is a key contributing factor to this increase. Eating out of home (EOH) is one of the major shifts in eating habits during this period. However, the influence of EOH on the incidence of T2DM among Chinese urban workers is unknown.Methods::The cross-sectional study involved an analysis of 13,904 urban workers recruited from 11 health examination centers in the major cities of China to explore the relationship between EOH and T2DM between 2013 September and 2016 March.Results::Average weekly EOH frequency ≥10 times was positively associated with increased incidence of T2DM in the sampled population (OR: 1.31 [1.11-1.54], p < 0.01), most notably in participants ≤45 years old (OR: 1.41[1.11-1.80], p < 0.01]) and in males (OR:1.26 [1.06-1.51], p < 0.01). An EOH frequency of 5 times/week appears as a threshold for a significant increase in the odds of T2DM. Weekly EOH frequency ≥5 times was associated with increased odds of T2DM in a dose-response manner in the total population and almost all subgroups ( poverall association < 0.05 and pnonlinearity ≤ 0.05). Conclusion::This study showed that a frequency of EOH (≥5 times/week) was associated with a frequency-dependent increase in the odds of T2DM urban workers in China. More nutrition promotion is needed to improve the eating behavior of Chinese urban workers to reduce T2DM risk.