Electromagnetic fields can regulate the fundamental biological processes involved in bone remodeling. As a non-invasive physical therapy, electromagnetic fields with specific parameters have demonstrated therapeutic effects on bone remodeling diseases, such as fractures and osteoporosis. Electromagnetic fields can be generated by the movement of charged particles or induced by varying currents. Based on whether the strength and direction of the electric field change over time, electromagnetic fields can be classified into static and time-varying fields. The treatment of bone remodeling diseases with static magnetic fields primarily focuses on fractures, often using magnetic splints to immobilize the fracture site while studying the effects of static magnetic fields on bone healing. However, there has been relatively little research on the prevention and treatment of osteoporosis using static magnetic fields. Pulsed electromagnetic fields, a type of time-varying field, have been widely used in clinical studies for treating fractures, osteoporosis, and non-union. However, current clinical applications are limited to low-frequency, and research on the relationship between frequency and biological effects remains insufficient. We believe that different types of electromagnetic fields acting on bone can induce various “secondary physical quantities”, such as magnetism, force, electricity, acoustics, and thermal energy, which can stimulate bone cells either individually or simultaneously. Bone cells possess specific electromagnetic properties, and in a static magnetic field, the presence of a magnetic field gradient can exert a certain magnetism on the bone tissue, leading to observable effects. In a time-varying magnetic field, the charged particles within the bone experience varying Lorentz forces, causing vibrations and generating acoustic effects. Additionally, as the frequency of the time-varying field increases, induced currents or potentials can be generated within the bone, leading to electrical effects. When the frequency and power exceed a certain threshold, electromagnetic energy can be converted into thermal energy, producing thermal effects. In summary, external electromagnetic fields with different characteristics can generate multiple physical quantities within biological tissues, such as magnetic, electric, mechanical, acoustic, and thermal effects. These physical quantities may also interact and couple with each other, stimulating the biological tissues in a combined or composite manner, thereby producing biological effects. This understanding is key to elucidating the electromagnetic mechanisms of how electromagnetic fields influence biological tissues. In the study of electromagnetic fields for bone remodeling diseases, attention should be paid to the biological effects of bone remodeling under different electromagnetic wave characteristics. This includes exploring innovative electromagnetic source technologies applicable to bone remodeling, identifying safe and effective electromagnetic field parameters, and combining basic research with technological invention to develop scientifically grounded, advanced key technologies for innovative electromagnetic treatment devices targeting bone remodeling diseases. In conclusion, electromagnetic fields and multiple physical factors have the potential to prevent and treat bone remodeling diseases, and have significant application prospects.

Background Air pollution exposure has a significant impact on maternal and child health. However, the research on the association between ambient ozone (O₃) exposure during pregnancy and the risk of premature birth in newborns is limited, and the conclusions are inconsistent. Objective To investigate the association of ambient O₃ exposure during pregnancy with the risk of preterm birth in Guangdong Province. Methods Data of pregnant women in Guangzhou from 2013 to 2019 and Foshan from 2018 to 2023 were collected, and O₃ concentrations during different trimesters were assessed according to maternal residential addresses. Bilinear interpolation was used to evaluate the concentrations of air pollution. A cohort study design was adopted in our study. Restricted cubic spline curves were used to evaluate the exposure-response relationship between O₃ exposure and preterm birth risk and explore potential exposure threshold of O₃. Logistic regression models were used to evaluate the association of O₃ exposure with preterm birth. Results A total of 702 924 pregnant women were included in this study, of whom 43 051 (6.12%) were preterm. The average O₃ exposure concentrations of pregnant women during the first, second, third, and whole trimesters were 95.51, 97.51, 100.60, and 97.87 μg·m⁻³, respectively. We observed J-shaped associations between O₃ exposure and preterm birth risk during the second, third, and whole trimesters of pregnancy using restricted cubic spline curves. This study found that there were threshold concentrations between O₃ exposure and preterm birth risk during different gestational periods, and the threshold concentrations in the first, second, third, and whole trimesters were 112.32, 99.83, 111.74, and 112.46 μg·m⁻³, respectively. During the second, third, and whole trimesters of pregnancy, after adjusting for maternal age, baby sex, pre-pregnancy body mass index, mode of delivery, baby birth weight, gestational diabetes, and gestational hypertension, the odds ratios (OR) of preterm birth were 1.02 (95%CI: 1.01, 1.04), 1.02 (95%CI: 1.00, 1.03), and 1.17 (95%CI: 1.13, 1.21) for each 10 μg·m⁻³ increase in O₃ concentration above the O₃ threshold. No significant association was found between O₃ exposure and the risk of preterm birth during the first trimester. Conclusion There is a nonlinear association between the risk of preterm birth and O₃ exposure during pregnancy, and higher concentrations of O₃ exposure during pregnancy are associated with the risk of preterm birth. Above the O₃ threshold concentration during pregnancy, especially during the second, third, and whole trimesters, the risk of preterm birth elevates with the increase of O₃ exposure concentrations.

ObjectiveTo construct a large language model （LLM）-based intelligent pre-consultation system for traditional Chinese medicine （TCM） to improve efficacy of clinical practice. MethodsA TCM large language model was fine-tuned using DeepSpeed ZeRO-3 distributed training strategy based on YAYI 2-30B. A weighted undirected graph network was designed and an agent-based syndrome differentiation model was established based on relationship data extracted from TCM literature and clinical records. An agent collaboration framework was developed to integrate the TCM LLM with the syndrome differentiation model. Model performance was comprehensively evaluated by Loss function， BLEU-4， and ROUGE-L metrics， through which training convergence， text generation quality， and language understanding capability were assessed. Professional knowledge test sets were developed to evaluate system proficiency in TCM physician licensure content， TCM pharmacist licensure content， TCM symptom terminology recognition， and meridian identification. Clinical tests were conducted to compare the system with attending physicians in terms of diagnostic accuracy， consultation rounds， and consultation duration. ResultsAfter 100 000 iterations， the training loss value was gradually stabilized at about 0.7±0.08， indicating that the TCM-LLM has been trained and has good generalization ability. The TCM-LLM scored 0.38 in BLEU-4 and 0.62 in ROUGE-L， suggesting that its natural language processing ability meets the standard. We obtained 2715 symptom terms， 505 relationships between diseases and syndromes， 1011 relationships between diseases and main symptoms， and 1 303 600 relationships among different symptoms， and constructed the Agent of syndrome differentiation model. The accuracy rates in the simulated tests for TCM practitioners， licensed pharmacists of Chinese materia medica， recognition of TCM symptom terminology， and meridian recognition were 94.09%， 78.00%， 87.50%， and 68.80%， respectively. In clinical tests， the syndrome differentiation accuracy of the system reached 88.33%， with fewer consultation rounds and shorter consultation time compared to the attending physicians （P＜0.01）， suggesting that the system has a certain pre- consultation ability. ConclusionThe LLM-based intelligent TCM pre-diagnosis system could simulate diagnostic thinking of TCM physicians to a certain extent. After understanding the patients' natural language， it collects all the patient's symptom through guided questioning， thereby enhancing the diagnostic and treatment efficiency of physicians as well as the consultation experience of the patients.

To promote the development of extracellular vesicles of herbal medicine especially the establishment of standardization, led by the National Expert Committee on Research and Application of Chinese Herbal Vesicles, research experts in the field of herbal medicine and extracellular vesicles were invited nationwide with the support of the Expert Committee on Research and Application of Chinese Herbal Vesicles, Professional Committee on Extracellular Vesicle Research and Application, Chinese Society of Research Hospitals and the Guangdong Engineering Research Center of Chinese Herbal Vesicles. Based on the collation of relevant literature, we have adopted the Delphi method, the consensus meeting method combined with the nominal group method to form a discussion draft of "Consensus statement on research and application of Chinese herbal medicine derived extracellular vesicles-like particles (2023)". The first draft was discussed in online and offline meetings on October 12, 14, November 2, 2022 and April and May 2023 on the current status of research, nomenclature, isolation methods, quality standards and research applications of extracellular vesicles of Chinese herbal medicines, and 13 consensus opinions were finally formed. At the Third Academic Conference on Research and Application of Chinese Herbal Vesicles, held on May 26, 2023, Kewei Zhao, convenor of the consensus, presented and read the consensus to the experts of the Expert Committee on Research and Application of Chinese Herbal Vesicles. The consensus highlights the characteristics and advantages of Chinese medicine, inherits the essence, and keeps the righteousness and innovation, aiming to provide a reference for colleagues engaged in research and application of Chinese herbal vesicles at home and abroad, decode the mystery behind Chinese herbal vesicles together, establish a safe, effective and controllable accurate Chinese herbal vesicle prevention and treatment system, and build a bridge for Chinese medicine to the world.

Pyroptosis is the programmed death of cells accompanied by an inflammatory response and is widely involved in the development of a variety of diseases, such as infectious diseases, cardiovascular diseases, and neurodegeneration. It has been shown that cellular scorching is involved in the pathogenesis of pulmonary arterial hypertension ( PAH) in cardiovascular diseases. Patients with PAH have perivascular inflammatory infiltrates in lungs, pulmonary vasculopathy exists in an extremely inflam-matory microenvironment, and pro-inflammatory factors in cellular scorching drive pulmonary vascular remodelling in PAH patients. This article reviews the role of cellular scorch in the pathogenesis of PAH and the related research on drugs for the treatment of PAH, with the aim of providing new ideas for clinical treatment of PAH.

Depression is a kind of complex mental illness， which is mainly treated by western medicine at present， but the effect of western antidepressant drugs is not good due to the combined influence of side effects and individual differences of patients. Depression is a "stagnation syndrome" in traditional Chinese medicine， and its treatment principle is to disperse stagnated liver Qi for relieving Qi stagnation. The classic traditional Chinese medicine formula Chaihu Shugansan （CHSGS） has a long history of treating depression and demonstrates significant therapeutic efficacy. Clinically， the addition and subtraction of CHSGS is flexible， but the properties of the active ingredients are vague， and the mechanism and function are unclear. In order to elucidate the pharmacodynamic basis and antidepressant mechanism of CHSGS， this article reviews the pharmacodynamic material basis of CHSGS， clinical research and antidepressant mechanism research progress. Clinically， CHSGS can treat various types of depression such as primary depression， post-stroke depression， and postpartum depression. This article summarizes 32 main ingredients of CHSGS， among which albiflorin， ferulic acid， naringin， hesperidin， saikosaponin a， glycyrrhetinic acid， tangeretin， meranzin hydrate， nobiletin and glycyrrhizic acid are the quality markers （Q-markers） for the antidepressant effect of CHSGS. The antidepressant mechanism of CHSGS is complex， including regulating monoamine neurotransmitters， hypothalamic-pituitary-adrenal （HPA） axis， neurotrophic factors， inflammatory response， cell damage-related pathways， oxidative stress， etc. This article helps to deeply understand the pharmacodynamic basis and mechanism of CHSGS in treating depression， and provides a theoretical basis for the clinical application of CHSGS in treating depression and the development of antidepressant drugs.

Two methods including gas chromatography tandem mass spectrometry (GC-MS/MS) and high-performance liquid chromatography tandem mass spectrometry (LC-MS/MS) were established to detect common alkyl sulfonates and aryl sulfonates genotoxic impurities. Four alkyl sulfonates and methyl benzenesulfonate were determined by GC-MS/MS using butyl methanesulfonate as the internal standard, the chromatographic column was HP-5MS UI (30 mm × 0.25 mm, 0.25 µm), the carrier gas was helium, the flow rate was 1.0 mL·min^-1 in a constant flow mode, the sample inlet temperature was set to 250 ℃, the split ratio was 10∶1, and the initial temperature of the heating program was 80 ℃, maintained for 1 minute, and then increased to 240 ℃ at a heating rate of 30 ℃·min^-1 for 2 minutes. The mass spectrometry detector was an electron bombardment ion source (EI source), the data collection condition was multi reaction monitoring mode (MRM), and method validation using the raw material of clinical drug citalopram hydrobromide as a sample. The results showed that the linear range of four alkyl sulfonates and methyl benzenesulfonate were good at 3-50 ng·mL^-1 and 9-150 ng·mL^-1, with a correlation coefficient of r > 0.999, The spiked recovery was 80%-120%. The detection limits were 1 and 3 ng·mL^-1; Ten aryl sulfonates determined by LC-MS/MS, the chromatographic column was CSH Fluoro phenyl (100 mm × 2.1 mm, 1.7 µm), the mobile phase was methanol (B)-5 mmol·L^-1 ammonium formate (D), with a flow rate of 0.2 mL·min^-1, and gradient elution was performed. The gradient program (T/% B) was set as 0/20, 25/90, 35/90, 42/20. The mass spectrometer detector was electro spray ionization with positive ionization mode (ESI⁺), the data collection was in dynamic multi reaction monitoring mode (dMRM), and the method was validated using the raw material of the clinical drug citalopram hydrobromide as a sample. The results showed that the linear range of aryl sulfonates were good at 9-2 000 ng·mL^-1, 3-100 ng·mL^-1 and 0.9-30 ng·mL^-1, respectively. The correlation coefficient r > 0.999, the spiked recovery was 80%-120%. The detection limits were 30, 1 and 0.3 ng·mL^-1. Two detection methods did not detect potential sulfonate genotoxicity impurities in the above APIs. The established analytical methods are reliable and effective, which can provide reference for drug quality control and detection.

BACKGROUND:Osteoporosis is a disease in which bone density and structure are destroyed and fractures are caused by increased bone fragility,leading to high clinical disability and mortality rates. OBJECTIVE:To review the research progress in the role of bone immunity in physiological and pathological processes related to bone metabolism,providing ideas for the research and clinical application of bone immunity in bone diseases. METHODS:The first author searched PubMed and CNKI databases in November 2022 for relevant literature using the keywords of"osteoimmunology,immuno-skeletal interface,bone metabolism,skeletal metabolism,lymphocyte,immune factor"in English and Chinese,respectively.The time range of retrieval was mainly from January 2010 to November 2022,and a small number of classical long-term literatures were included.After reading the topic and abstract for preliminary screening and excluding repetitive studies,low-quality journals and unrelated literature,81 documents were finally included for review. RESULTS AND CONCLUSION:Osteoimmunology refers to that bone and immune cells share the same microenvironment and interact with each other to jointly perform the"bone immune system,"which includes all cells in the bone marrow.Immuno-skeletal interface has protective effects on bone under physiological conditions,but it may lead to bone destruction under pathological conditions.Osteoprotegerin is mainly derived from B cells and can inhibit osteoclast metabolism.However,when the body is in an inflammatory state,T cells and B cells work together to promote bone resorption.In addition,interleukin-1,interleukin-6 and tumor necrosis factor-α regulate the expression of receptor activator of nuclear factor-κB ligand in vivo and affect bone metabolism.In most clinical diseases(such as rheumatoid arthritis,estrogen deficiency,HIV infection,and hyperparathyroidism),the immuno-skeletal interface interacts with the bone immune system,resulting in the regulation of bone metabolism.In terms of clinical prospect,the interaction between bone immunity and bone metabolism should be studied in order to propose new strategies for therapeutic intervention to reduce the risk of fracture.

BACKGROUND:Sepsis-induced systemic inflammation leads to rapid bone mass loss;however,there is a lack of effective treatments.Ulinastatin is an anti-inflammatory drug,but its protective effect and mechanism on bone under sepsis-induced systemic inflammation are still unclear. OBJECTIVE:To explore whether ulinastatin can relieve acute bone loss caused by lipopolysaccharide. METHODS:(1)Animal experiment.Thirty male C57BL/6 mice were randomly divided into three groups(n=10 per group):control group,model group and experimental group.The control group was injected intraperitoneally with normal saline,the model group was injected intraperitoneally with lipopolysaccharide,and the experimental group was injected intraperitoneally with lipopolysaccharide and ulinastatin.In the experimental group,ulinastatin was injected continuously for 3 days.After intraperitoneal injection of ulinastatin for 14 days,femoral tissues were taken for CT scanning and pathological observation.(2)Cell experiment.C57BL/6 mouse primary osteoblasts were isolated and divided into three groups:the control group was routinely cultured,lipopolysaccharide was added to the model group,and lipopolysaccharide with ulinastatin was added to the experimental group.Cell proliferation and osteogenic differentiation were detected.C57BL/6 mouse bone marrow mononuclear cells were isolated and divided into three groups:the control group was routinely cultured,lipopolysaccharide was added to the model group,and lipopolysaccharide and ulinastatin were added to the experimental group.Osteoclast differentiation was detected. RESULTS AND CONCLUSION:(1)Animal experiment.CT scanning and hematoxylin-eosin staining showed that bone mass in lipopolysaccharide-treated mice was reduced but increased after treatment with ulinastatin.Tartrate resistant acid phosphatase staining showed that the number of osteoclasts in bone tissue increased in the model group,but significantly decreased in the experimental group compared with the model group.(2)Cell experiment.Cell counting kit-8 assay showed that lipopolysaccharide treatment inhibited the proliferation of osteoblasts,and ulinastatin elevated the proliferation of osteoblasts after lipopolysaccharide treatment.Alkaline phosphatase staining,alizarin red staining and osteogenesis-related gene(alkaline phosphatase,Runx2,osteocalcin,osteoblastin,nuclear factor κB receptor-activating factor ligand,osteoprotegerin)detection showed that lipopolysaccharide treatment inhibited osteogenic differentiation of osteoblasts and elevated the nuclear factor κB receptor-activating factor ligand/osteoprotegerin ratio;ulinastatin did not have any significant effect on the reduction of osteoblast function induced by lipopolysaccharide but decreased the nuclear factor κB receptor-activating factor ligand/osteoprotegerin ratio.Tartrate resistant acid phosphatase staining and osteoclast-related gene(tartrate resistant acid phosphatase and matrix metalloproteinase 9)detection showed that lipopolysaccharide treatment could promote osteoclast differentiation of bone marrow monocytes,while ulinastatin could inhibit lipopolysaccharide-induced osteoclast differentiation of bone marrow monocytes.(3)Overall,ulinastatin can significantly inhibit lipopolysaccharide-induced bone loss,mainly through promoting osteoblast proliferation and directly or indirectly inhibiting osteoclast differentiation to alleviate bone loss and achieve osteoprotective effects.

ObjectiveTo analyze the prevalence of myopia among the primary school students in Shanghai, and to explore its relationship with sleep duration and sleep quality, providing references for precise myopia prevention. MethodsA cross-sectional survey and random sampling were employed. Between April and May 2023, a total of 1 889 students from grades 1 to 5 in Jiading District, Shanghai, were selected for vision testing and a questionnaire on children’s sleeping habits and relevant factors were conducted using the Children’s Sleep Habits Questionnaire (CSHQ) in Chinese. The relationship between myopia and sleep patterns was analyzed using chi-square tests and a multivariate logistic regression model. ResultsThe overall myopia rate among the primary school students in Jiading District, Shanghai, was 35.6%. The results of univariate analysis showed that in the myopia group, the incidences of sleep disturbance and sleep anxiety were lower compared to children without myopia, while the incidences of sleep continuity and parasomnias were higher than there in the non-myopia group (χ²=12.816, 10.292, 10.971, 3.917, all P<0.05). Additionally, among the elementary school students with an average daily sleep duration of less than 10 hours, the prevalence of myopia was higher. The multivariate logistic regression analysis revealed that factors such as being female (OR=1.291, 95%CI: 1.044‒1.597), higher grade levels (2^nd grade: OR=2.174, 95%CI: 1.471‒3.212; 3^rd grade:OR=3.850, 95%CI: 2.648‒5.598; 4^th grade: OR=8.906, 95%CI: 6.154‒12.890; 5^th grade: OR=12.299, 95%CI: 8.433‒17.937), having one parent (OR=2.250, 95%CI: 1.757‒2.881) or both parents(OR=3.623, 95%CI: 2.719‒4.827) with myopia, and parasomnias (OR=1.518, 95%CI: 1.065‒2.163) were associated with a higher detection rate of myopia. ConclusionThe prevalence of myopia is notably high among the primary school students in Jiading District, Shanghai, and there is an association between the occurrence of myopia and parasomnias.