Childhood simple obesity has become a significant public health issue in China. Modern medicine primarily relies on lifestyle interventions and often suffers from poor long-term compliance， while pharmacological options are limited and associated with potential adverse effects. Traditional Chinese Medicine （TCM） has a long history in the prevention and management of this condition， demonstrating eight distinct advantages， including systematic theoretical foundation， diversified therapeutic approaches， definite therapeutic efficacy， high safety profile， good patient compliance， comprehensive intervention strategies， emphasis on prevention， and stepwise treatment protocols. Additionally， TCM is characterized by six distinctive features： the use of natural medicinal substances， non-invasive external therapies， integration of medicinal dietetics， simple exercise regimens， precise syndrome differentiation， and diverse dosage forms. By combining internal and external treatments， TCM facilitates individualized regimen adjustment and holistic regulation， demonstrating remarkable effects in improving obesity-related metabolic indicators， regulating constitutional imbalance， and promoting healthy behaviors. However， challenges remain， such as inconsistent operational standards， insufficient high-quality clinical evidence， and a gap between basic research and clinical application. Future efforts should focus on accelerating the standardization of TCM diagnosis and treatment， conducting multicenter randomized controlled trials， and fostering interdisciplinary integration， so as to enhance the scientific validity and international recognition of TCM in the prevention and treatment of childhood obesity.

Objective Magnetoreception, the remarkable ability of diverse animals to sense and utilize the geomagnetic field for orientation and navigation, remains a molecularly unresolved mystery in sensory biology. The putative magnetoreceptor (MagR, previously known as IscA1) is a highly conserved iron-sulfur protein implicated in both magnetoreception and iron metabolism; however, the functional diversity among its cross-species homologs remains poorly understood. Cellular morphology is a key genetically determined trait that can be altered through genetic or environmental modifications—a process known as cell morphology engineering. Constructing engineered cells with specific morphological features and magnetic sensitivity to achieve remote, non-invasive magnetic modulation represents a crucial goal in this field with significant application potential. Therefore, this study aims to systematically investigate the effects of MagR heterologous expression on bacterial morphology and magnetic sensing capabilities, screen for MagR-based magnetically sensitive morphology engineering pathways, and reveal the underlying molecular mechanisms. Methods We systematically screened 28 MagR homologous genes from diverse prokaryotic and animal taxa to evaluate their expression and corresponding phenotypic effects in Escherichia coli (E. coli). To compare the differential magnetic responses among bacteria expressing various recombinant MagR proteins, we utilized high-throughput automated bright-field microscopic imaging and scanning electron microscopy (SEM). Furthermore, comprehensive biochemical and biophysical characterizations of iron and iron-sulfur cluster binding were performed using Ferrozine colorimetric assays, electron paramagnetic resonance (EPR) spectroscopy, ultraviolet-visible (UV-Vis) absorption, and circular dichroism (CD) spectroscopy. Additionally, 100 mT static magnetic field (SMF) exposure experiments were conducted to assess magnetically tunable phenotypes, while the intrinsic magnetic properties of purified MagR proteins were directly measured using a superconducting quantum interference device (SQUID) magnetometer. Results Our results demonstrated that the heterologous expression of MagR homologs induced varying degrees of bacterial filamentation. From this comprehensive screen, two distinct morphological patterns were identified: hydra (Hydra vulgaris) MagR (hyMagR) promoted uniform cell elongation and filamentation, exhibiting robust magnetic sensitivity manifested as significantly enhanced filamentation under the 100 mT SMF. In contrast, pigeon (Columba livia) MagR (clMagR) induced only low-frequency, extreme filamentation (sporadically exceeding 80 μm) with a relatively weaker magnetic morphological response. Mechanistically, our data unambiguously proved that these phenotypic differences are primarily driven by distinct iron redox preferences rather than total cellular iron accumulation. Specifically, hyMagR preferentially binds ferrous iron (Fe²⁺), whereas clMagR favors ferric iron (Fe³⁺) and forms more stable iron-sulfur clusters. Intriguingly, although SQUID magnetometry showed that purified clMagR exhibited approximately five-fold higher mass magnetic susceptibility than hyMagR, its cellular magnetic response was weaker. We hypothesize that the Fe²⁺-preferred intracellular environment associated with hyMagR overexpression primes the cell for enhanced generation of reactive oxygen species (ROS) via the Fenton reaction. Exposure to an SMF synergizes with this primed redox state, triggering the bacterial SOS response and upregulating cell division inhibitors to efficiently induce uniform filamentation. Conclusion Our findings identify the Fe²⁺/Fe³⁺ redox state as a critical determinant of MagR-mediated morphological remodeling and magnetic responsiveness. This discovery suggests a potential strategy for engineering magnetically responsive cellular systems for synthetic biology applications, and provides a plausible framework, which potentially combines intrinsic protein magnetism with redox-state modulation, for further investigating the evolutionary mechanisms of MagR-mediated magnetoreception.

Objective Magnetoreception, the remarkable ability of diverse animals to sense and utilize the geomagnetic field for orientation and navigation, remains a molecularly unresolved mystery in sensory biology. The putative magnetoreceptor (MagR, previously known as IscA1) is a highly conserved iron-sulfur protein implicated in both magnetoreception and iron metabolism; however, the functional diversity among its cross-species homologs remains poorly understood. Cellular morphology is a key genetically determined trait that can be altered through genetic or environmental modifications—a process known as cell morphology engineering. Constructing engineered cells with specific morphological features and magnetic sensitivity to achieve remote, non-invasive magnetic modulation represents a crucial goal in this field with significant application potential. Therefore, this study aims to systematically investigate the effects of MagR heterologous expression on bacterial morphology and magnetic sensing capabilities, screen for MagR-based magnetically sensitive morphology engineering pathways, and reveal the underlying molecular mechanisms. Methods We systematically screened 28 MagR homologous genes from diverse prokaryotic and animal taxa to evaluate their expression and corresponding phenotypic effects in Escherichia coli (E. coli). To compare the differential magnetic responses among bacteria expressing various recombinant MagR proteins, we utilized high-throughput automated bright-field microscopic imaging and scanning electron microscopy (SEM). Furthermore, comprehensive biochemical and biophysical characterizations of iron and iron-sulfur cluster binding were performed using Ferrozine colorimetric assays, electron paramagnetic resonance (EPR) spectroscopy, ultraviolet-visible (UV-Vis) absorption, and circular dichroism (CD) spectroscopy. Additionally, 100 mT static magnetic field (SMF) exposure experiments were conducted to assess magnetically tunable phenotypes, while the intrinsic magnetic properties of purified MagR proteins were directly measured using a superconducting quantum interference device (SQUID) magnetometer. Results Our results demonstrated that the heterologous expression of MagR homologs induced varying degrees of bacterial filamentation. From this comprehensive screen, two distinct morphological patterns were identified: hydra (Hydra vulgaris) MagR (hyMagR) promoted uniform cell elongation and filamentation, exhibiting robust magnetic sensitivity manifested as significantly enhanced filamentation under the 100 mT SMF. In contrast, pigeon (Columba livia) MagR (clMagR) induced only low-frequency, extreme filamentation (sporadically exceeding 80 μm) with a relatively weaker magnetic morphological response. Mechanistically, our data unambiguously proved that these phenotypic differences are primarily driven by distinct iron redox preferences rather than total cellular iron accumulation. Specifically, hyMagR preferentially binds ferrous iron (Fe²⁺), whereas clMagR favors ferric iron (Fe³⁺) and forms more stable iron-sulfur clusters. Intriguingly, although SQUID magnetometry showed that purified clMagR exhibited approximately five-fold higher mass magnetic susceptibility than hyMagR, its cellular magnetic response was weaker. We hypothesize that the Fe²⁺-preferred intracellular environment associated with hyMagR overexpression primes the cell for enhanced generation of reactive oxygen species (ROS) via the Fenton reaction. Exposure to an SMF synergizes with this primed redox state, triggering the bacterial SOS response and upregulating cell division inhibitors to efficiently induce uniform filamentation. Conclusion Our findings identify the Fe²⁺/Fe³⁺ redox state as a critical determinant of MagR-mediated morphological remodeling and magnetic responsiveness. This discovery suggests a potential strategy for engineering magnetically responsive cellular systems for synthetic biology applications, and provides a plausible framework, which potentially combines intrinsic protein magnetism with redox-state modulation, for further investigating the evolutionary mechanisms of MagR-mediated magnetoreception.

Objective To establish an efficient DNA extraction method for the batch identification of genotypes in model mice.Methods We extracted total DNA from transgenic mouse tails using four methods:alkaline simplified group,alkaline routine group,protease K cleavage group and DNA extraction kit group.The purity and concentration of DNA obtained by the four methods were measured,the effects of gel electrophoresis were evaluated,and the time and experimental costs of the four methods were compared.Results The protease K cleavage method produced the highest concentration of DNA,followed by the simplified alkaline boiling and routine alkaline boiling method.The reagent kit produced the highest DNA purity,followed by the simplified alkaline boiling method.The DNA templates obtained by the four method could be amplified by polymerase chain reaction and gel electrophoresis to obtain clear DNA target bands.In addition,the DNA template extracted by the simplified alkaline boiling method could be used for gene identification after storage at-20℃for 1 month,as well as requiring the least time and lowest costs.Conclusions The simplified alkaline boiling method is currently the simplest,fastest,and most economical DNA template-extraction method for batch identification of genotypes in model mice.

To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.

BACKGROUND:Topical administration of tranexamic acid can be used for anti-skin pigmentation,but its large polarity makes it difficult to break through the cuticle barrier and cell membrane when administered topically,and the subcutaneous accumulation concentration is not easy to reach the effective therapeutic concentration.OBJECTIVE:To design functionalized self-assembled micelles to enhance the anti-pigmentation effect of tranexamic acid.METHODS:The plant polyphenol derivative epigallocatechin gallate palmitate and metformin were used as carrier materials.The self-assembled micelles with synergistic anti-pigging activity and enhanced drug permeability were prepared by hydrogen bonding and electrostatic interaction.The nanoscale properties and stability of self-assembled drug-loaded micelles were tested,and their transdermal permeability was evaluated,and their biocompatibility and cellular effects were investigated.RESULTS AND CONCLUSION:(1)Functional self-assembled drug-carrying micelles with average particle size of(176.27±5.23)nm,polydispersity coefficient of 0.23±0.02,and the Zeta potential of(-25.67±0.98)mV had good stability.The mass concentrations of tranexamic acid and metformin in the self-assembled drug-carrying micelles were(20.03±0.12)and(6.67±0.08)mg/mL,respectively.The drug loadings of tranexamic acid and metformin in the self-assembled drug-carrying micelles were(19.97±0.12)％and(6.65±0.08)％,respectively.(2)In vitro transdermal results showed that the self-assembled drug-carrying micelles had higher penetration and intradermal retention per unit skin area,and could penetrate and diffuse to deeper parts of the skin.(3)MTT assay results demonstrated that undrug-loaded self-assembled micelles containing tranexamic acid 50-250 μg/mL had no toxic effects on mouse fibroblasts and mouse skin melanoma cells.The self-assembled drug-carrying micelles containing tranexamic acid 500 μg/mL had a slight toxic effect on mouse skin melanoma cells.The self-assembled drug-carrying micelles containing 50-500 μg/mL of tranexamic acid did not cause hemolysis and had good biological safety.(4)In vitro cell culture results showed that self-assembled drug-carrying micelles containing 500 μg/mL tranexamic acid could significantly inhibit the tyrosinase activity and melanin release of mouse skin melanoma cells,and the inhibitory effect was stronger than that of tranexamic acid solution or metformin solution alone.These results indicated that functionalized self-assembled micelles could synergize with tranexamic acid to inhibit tyrosinase activity,reduce melanin synthesis,and enhance the anti-skin pigmentation effect of tranexamic acid.

Objective To observe the effect of Qing-Xin-Jie-Yu granule(QXJYG)on the formation of thrombosis in the rat model of arteriovenous bypass thrombosis and the adenosine diphosphate(ADP)-induced platelet aggregation.Methods Thirty-six male SD rats were randomly divided into normal control group,model group,clopidogrel positive control group,QXJYG low-dose,medium-dose and high-dose groups,with 6 rats in each group.The dose of clopidogrel positive control group was 6.74 mg/(kg?d),the dosages of QXJYG in low,medium and high groups were 0.99,1.98,3.96 g/(kg?d),respectively,normal control group and model group were given equal volume of distilled water,and continuous prophylactic intragastric administration for 14 days,once a day.One hour after the final administration,the rats were anesthetized,and the arteriovenous bypass thrombosis model was established by using a polyethylene tube as the arteriovenous bypass bridge(except control group).The thrombus was extracted after 15 min and its weight was weighed by 1/10,000th precision electronic balance.The levels of thromboxane B2(TXB2)and 6-keto-prostaglandin F1α(6-keto-PGF1α)in plasma were determined by ELISA kits.The rate of platelet aggregation induced by ADP in each group was measured using a microplate reader by turbidimetric method.Results Compared with the control group,the weight of arteriovenous bypass thrombus was significantly higher,the level of TXB2 in plasma was significantly higher,while the level of 6-keto-PGF1α was significantly lower,and platelet aggregation was significantly higher after ADP induction in the model group(P＜0.05).Compared with the model group,the weight of arteriovenous bypass thrombosis in clopidogrel positive control group and QXJYG dose groups was significantly decreased(P＜0.05);the inhibition rate of thrombosis formation was 53.80％,23.96％,33.63％,and 32.59％,respectively.The content of TXB2 in plasma was significantly decreased,the content of 6-keto-PGF1α was significantly increased;additionally,the platelet aggregation rate induced by ADP was reduced in clopidogrel positive control group and QXJYG group.Meanwhile,there was a dose-dependence between different doses in QXJYY group(P＜0.05),and the inhibition rate of platelet aggregation was 86.90％,26.17％,38.87％,54.48％,respectively.Conclusion QXJYG can prevent thrombosis formation in the rat model of arteriovenous bypass thrombosis and inhibit platelet aggregation induced by ADP.

OBJECTIVE:Nowadays,machine learning algorithms are gradually being applied to predict stroke and cardiovascular disease.Compared with traditional regression models,machine learning can learn from data to achieve high prediction accuracy by exploring the flexible relationship between a large number of predictive features and outcome variables,providing a new method for the formulation of individualized treatment and rehabilitation programs.This study aims to systematically evaluate stroke functional recovery and prognosis prediction models based on machine learning,comprehensively assessing their predictive performance and clinical application potential to provide references for the development,application,and promotion of related predictive models.METHODS:This review was conducted following the PRISMA(Preferred Reporting Items for Systematic Reviews and Meta-Analyses)guidelines.Relevant literature on stroke prognosis prediction using machine learning methods was selected by searching PubMed,EMbase,Web of Science Core Collection,CNKI,WanFang,and the China Biomedical Literature Database,with the search period from January 1,2014,to July 1,2024.Two researchers independently screened the literature and extracted data based on inclusion and exclusion criteria,using the Prediction model Risk Of Bias ASsessment Tool(PROBAST)to assess model quality.RESULTS:(1)A total of 3 126 articles were obtained in the preliminary search.After screening and exclusion,18 articles were finally included.150 prediction models were constructed using 13 machine learning methods.The three most frequently used methods are Logistic Regression,Random Forest,and Extreme Gradient Boosting(XGBoost).Only one study was externally validated.Eight studies reported how the missing data were handled.(2)In terms of outcome indicators,8 studies used the combination of clinical data and imaging data to build models,9 studies only used clinical data to build models,and 1 study only used imaging data to build models.(3)Each of the 18 studies gave the most important characteristics of the study,with the most mentioned being the National Institute of Health Stroke Scale and age.All studies reported area under curve values ranging from 0.74 to 0.96,with the highest area under curve being 0.96.The overall risk of bias in all models was high.The high risk of bias in the field of model analysis was the main reason for the high risk of overall bias in all models.(4)The results of meta-analysis showed that age and National Institute of Health Stroke Scale score had significant influence on stroke prognosis,with age[MD=8.49,95％CI(6.24,10.75),P＜0.01]and National Institute of Health Stroke Scale score[MD=4.78,95％CI(2.56,7.00),P＜0.01].CONCLUSION:This study systematically evaluated the predictive model of functional recovery and prognosis of stroke based on machine learning,and all the models have good predictive potential.However,future studies should increase the sample size of the included model,adopt prospective studies,and add external validation of the model to improve the stability and prediction accuracy of the model,control the risk of bias,and contribute to the validation and promotion of the model in practical clinical applications.At the same time,the interpolation of missing values is more transparent and accurate.Although existing machine learning models show good predictive performance,it is also important to focus on the functionality and usability of the model,and the inclusion of features will reduce ease of use.We should develop easy to use model interfaces and user-friendly clinical tools to enable medical staff to better apply the model for clinical decision.

Objective:To investigate the clinical diagnosis,treatment and prognosis of traumatic ectopic testis with torsion.Methods:We retrospectively analyzed the clinical data on a case of traumatic ectopic testis with torsion and reviewed relevant litera-ture.Results:After diagnosed with traumatic ectopic testis with torsion,the patient underwent exploratory operation for confirmation of orchiocatabasis,followed by testicular reduction and fixation.Follow-up visit at 1 month after surgery showed good blood supply and no obvious testicular atrophy.Conclusion:Traumatic ectopic testis with torsion is an extremely rare emergency condition,for which color Doppler ultrasonography is an effective means of examination.Once suspected of or confirmed with the problem,the patient should receive exploratory surgery,testicular reduction and fixation within 6 hours,and close postoperative observation.

To evaluate the effectiveness of the modified post anesthesia care unit (PACU) discharge assessment tool in the field of bone oncology, in order to prevent and reduce postoperative adverse events in patients undergoing bone tumor surgery. This is a prospective controlled study. 81 bone tumor patients who underwent general anesthesia surgery in the PACU from January to December 2023 were prospectively selected as the study subjects. They were randomly divided into a control group and an intervention group using a random number table method, with 43 and 38 cases, respectively. The control group and intervention group respectively used the fast track scoring system and the improved fast track scoring system as exit assessment tools. Independent sample t-test was used to compare the duration of PACU stay, mean arterial pressure (MAP) at PACU exit, heart rate, and blood oxygen saturation (SpO 2) between two groups of patients. Chi square test was used to compare the occurrence of adverse events between the two groups. The results showed that there was no statistically significant difference between the intervention group and the control group in terms of PACU dwell time [(55.58±23.83) min vs. (46.14±21.87) min], MAP at PACU [(88.23±11.52) mmHg vs. (86.25±10.62) mmHg], heart rate [(86.25±10.62) beats/min vs. (72.93±18.86) beats/min], and SpO 2 [(99.84±0.68)% vs. (99.86±0.91)%] ( t=1.859, 0.805, 1.003, 0.101,all P>0.05). The total incidence of adverse events in the intervention group was significantly lower than the control group (68.42% vs. 90.70%, χ2=4.988, P<0.05). In conclusion, the modified fast-tracking criteria can significantly reduce the incidence of adverse events in PACU patients undergoing bone tumor surgery, but does not affect PACU dwell time and patient circulatory status.