OBJECTIVE To systematically evaluate risk prediction models for chemotherapy-induced myelosuppression in breast cancer， and provide a scientific reference for clinical healthcare workers in selecting or developing effective predictive models. METHODS A systematic search was conducted for studies on predictive models of the risk of chemotherapy-induced myelosuppression in breast cancer across the CNKI， VIP， Wanfang， PubMed， Web of Science， Cochrane Library， Embase， and Scopus databases， with a time frame of the establishment of the database to May 7， 2024. Literature was independently screened by 2 investigators， data were extracted according to critical appraisal and data extraction for systematic reviews of predictive model studies， and the risk of bias evaluation tool for predictive model studies was used to analyze the risk of bias and applicability of the included studies. RESULTS There were totally 7 studies， comprising 12 models. Among them， 11 models indicated an area under the subject operating characteristic curve of 0.600-0.908； 2 models indicated calibration. The common predictor variables of the included models were age， pre-chemotherapy neutrophil count， pre-chemotherapy lymphocyte count， and pre-chemotherapy albumin. The overall risk of bias of the 7 studies was high， which was mainly attributed to the flaws in the study design， insufficient sample sizes， inappropriate treatment of variables， non-reporting of missing data， and the lack of indicators for the assessment of the models， but the applicability was good. CONCLUSIONS The predictive performance of risk predictive models for chemotherapy-induced myelosuppression in breast cancer remains to be further enhanced， and the overall risk of model bias is high. Future studies should follow the specifications of model development and reporting， then combine machine learning algorithms to develop risk predictive models with good predictive performance， high stability， and low risk of bias， so as to provide a decision-making basis for the clinic.

OBJECTIVE To construct a prediction model for the efficacy of serotonin-norepinephrine reuptake inhibitor （SNRI） in inpatients with moderate and severe depression by using a machine learning method. METHODS The case records of inpatients with moderate and severe depression treated with SNRI antidepressants were collected from a third-grade class-A hospital in Xinjiang from January 2022 to October 2024； those patients were divided into effective group and ineffective group based on the Hamilton depression scale-24 score reduction rate. After screening the characteristic variables related to the therapeutic efficacy of SNRI drugs through LASSO regression， five prediction models including support vector machine， k-nearest neighbor， random forest， lightweight gradient boosting machine and extreme gradient boosting were constructed using the training set. Bayesian optimization was used to adjust the hyperparameters of these models. The performance of the models was evaluated in the validation set to select the optimal model. The Shapley additive explanations method was used to perform explainable analysis on the best model. RESULTS The medical records from 355 hospitalized patients with moderate and severe depression were collected， comprising 285 cases in the effective group and 70 cases in the ineffective group， resulting in an overall therapeutic response rate of 80.28%. After feature variable screening， five characteristic variables for therapeutic efficacy were obtained， including Hamilton anxiety scale， blood urea nitrogen， combination of anti-anxiety drugs， drinking history， and first onset of the disease. Compared with other models， the random forest model performed the best. The area under the receiver operating characteristic curve was 0.85， the area under the precision-recall curve was 0.87， the accuracy was 0.74， and the recall rate value was 0.75. CONCLUSIONS The random forest model constructed based on five characteristic variables demonstrates potential for predicting the therapeutic efficacy of SNRI antidepressants in hospitalized patients with moderate and severe depression.

Real-time acquisition of pulmonary ventilation and perfusion information through thoracic electrical impedance tomography (EIT) holds significant clinical value. This study proposes a novel method based on the rime (RIME) algorithm-optimized variational mode decomposition (VMD) to separate lung ventilation and perfusion signals directly from raw voltage data prior to EIT image reconstruction, enabling independent imaging of both parameters. To validate this approach, EIT data were collected from 16 healthy volunteers under normal breathing and inspiratory breath-holding conditions. The RIME algorithm was employed to optimize VMD parameters by minimizing envelope entropy as the fitness function. The optimized VMD was then applied to separate raw data across all measurement channels in EIT, with spectral analysis identifying relevant components to reconstruct ventilation and perfusion signals. Results demonstrated that the structural similarity index (SSIM) between perfusion images derived from normal breathing and breath-holding states averaged approximately 84% across all 16 subjects, significantly outperforming traditional frequency-domain filtering methods in perfusion imaging accuracy. This method offers a promising technical advancement for real-time monitoring of pulmonary ventilation and perfusion, holding significant value for advancing the clinical application of EIT in the diagnosis and treatment of respiratory diseases.
Humans ; Electric Impedance ; Algorithms ; Tomography/methods* ; Pulmonary Ventilation/physiology* ; Lung/diagnostic imaging* ; Image Processing, Computer-Assisted/methods* ; Adult

Objective To explore the risk factors for intracardiac thrombosis in dilated cardiomyopathy(DCM)pa-tients and to construct,validate,and evaluate a nomogram prediction model based on these factors.Methods 88 patients diagnosed with DCM and complicated with intracardiac thrombus,and 544 patients without intracardiac thrombus were included.The participants were randomly divided into training and validation sets at a ratio of 7∶3.Using both univariate and multivariate Logistic regression analyses,independent risk factors for intracardiac thrombosis in DCM patients were identified.A nomogram prediction model was constructed using R software.The model's validity and performance were assessed using the receiver operating characteristic(ROC)curve,the Hos-mer-Lemeshow goodness-of-fit test,calibration curve,and decision curve.Results The binary Logistic regression analysis showed that age,atrial fibrillation,left ventricular end-diastolic diameter(LVEDD),brain natriuretic peptide(BNP),and β-blockers were independently associated with intracardiac thrombosis in DCM patients.Based on these five factors,a nomogram was constructed and validated.The area under the ROC curve for the training set was 0.823(95%CI:0.760～0.887)and0.803(95%CI:0.705～0.901)for the validation set,in-dicating a good discriminative ability.The Hosmer-Lemeshow test results for the calibration curve were(χ2=6.679,P=0.572)for the training set and(χ2=2.588,P=0.958)for the validation set,indicating a good fit between predicted and observed outcomes.The decision curve showed a high net clinical benefit in the threshold range of 0.05～0.92.Conclusion Based on age,atrial fibrillation,LVEDD,BNP,and β-blockers,the nomo-gram prediction model exhibits good discriminative and calibration abilities,and high clinical benefit.It can effec-tively guide clinicians in early intervention of risk factors,reducing the risk of intracardiac thrombosis in DCM pa-tients.

Purpose To explore the feasibility of artificial intelligence compressed sensing(ACS)technique in ankle joint MRI.Materials and Methods From September to October 2023,32 healthy volunteers who underwent ankle joint scanning in Beijing Friendship Hospital,Capital Medical University were prospectively collected.MRI of the ankle joint based on ACS and parallel imaging(PI)technology was performed on 3.0T MR.The sagittal proton density weighted imaging(PDWI),coronary PDWI,transverse PDWI and sagittal T1WI were acquired,and all data were divided into test group and control group,with ACS to accelerate the multiples of 5(ACS 5.0)in test group,whereas PI speed ratio of 2(PI 2.0)in control group,respectively.The signal intensity of talus,achilles tendon and cartilage were measured,the signal intensity and standard deviation of the long hallux flexor were obtained,and the signal noise ratio(SNR)and contrast to noise ratio(CNR)were calculated via long hallux flexor as background noise.The data of objective and subjective evaluation of the two sequences were statistically analyzed,and the image quality of each sequence was evaluated via the standard reference of PI 2.0.Results SNR and CNR in ACS group were higher than those in PI group,and the anatomical structure of sagittal PDWI sequence between the two groups had statistical significance(t=-2.937,-1.981,-4.058,-3.879,P<0.05).There were significant differences in cartilage SNR and talus CNR in coronal PDWI sequence(t=-3.310,-3.567;P=0.002,P<0.001).In terms of axial PDWI sequence,there were statistically significant differences in talus CNR and cartilage CNR between ACS and PI groups(t=-4.270,-4.382,P<0.05).The subjective evaluation of the image quality scores of the two groups by the two diagnostic imaging doctors showed a strong observer consistency(Kappa=0.977,P=0.009).There was no significant difference in image quality scores between the two groups(Z=-0.248,-0.747,<0.001,-0.071,P>0.05).The total collection time of ACS group and PI group was 337 s and 610 s,respectively.Compared with PI group,the total scanning time of ACS group was shortened by 44.8%.Conclusion ACS based MRI of the ankle joint can not only shorten the scan time,but also ensure and further improve the image quality,with feasibility.

Objective:To investigate the effects of paricalcitol on bone metabolism and transforming growth factor-β(TGF-β)/bone morphogenetic protein-7(BMP-7)/Smad signaling pathway in rats with renal osteodystrophy(ROD).Methods:Total 90 rat were randomly divided into 6 groups:control group,model group,paricalcitol low-dose(0.2 μg/kg)group,paricalcitol medium-dose group(0.4 μg/kg)group,paricalcitol high-dose(0.8 μg/kg)group,calcitriol(10 μg/kg)group,with 15 rats in each group.Rats in control group were fed with ordinary feed,and rats in other groups were fed with feed containing adenine to induce the establishment of ROD model.After grouping and drug treatment,the blood urea nitrogen(BUN)and blood creatinine(Scr)levels,blood calcium and blood phosphorus levels,femoral bone mineral density(BMD),maximum load,elasticity modulus and yield load,serum inflammatory fac-tors IL-6 and IL-17 levels of each group were measured;and the expression of TGF-β/BMP-7/Smad pathway protein in bone tissue was detected with Western blot.Another 45 rats were randomly divided into 3 groups:paricalcitol(0.8 μg/kg)group,TGF-β inhibition(LY2157299,150 mg/kg)group,paricalcitol(0.8 μg/kg)+TGF-β inhibition(LY2157299,150 mg/kg)group,with 15 rats in each group.ROD model was established with the same method.After drug treatment,the renal function indexes and femoral biomechanical indexes were measured.Results:Compared with control group,the blood calcium level,BMD,elastic modulus,maximum load,yield load,bone tissue TGF-β/BMP-7/Smad pathway proteins TGF-β and BMP-7 expressions,p-Smad3/Smad3 were significantly re-duced in the model group(P<0.05),the BUN and Scr levels,blood phosphorus level,and serum IL-6 and IL-17 levels were signifi-cantly increased(P<0.05).Compared with the model group,the blood calcium level,BMD,elastic modulus,maximum load,yield load,bone tissue TGF-β/BMP-7/Smad pathway protein TGF-β and BMP-7 expression,p-Smad3/Smad3 were significantly increased in the paricalcitol low,medium and high dose groups and calcitriol group(P<0.05),the BUN and Scr levels,blood phosphorus level,and serum IL-6 and IL-17 levels were significantly reduced,and paricalcitol groups showed a dose-dependent relationship(P<0.05),there was no significant difference in the indexes of rats in high-dose paricalcitol group and calcitriol group(P>0.05).Compared with paricalcitol+TGF-β inhibition group,the renal function indexes BUN,SCR and blood phosphorus level in paricalcitol group were de-creased(P<0.05),while the blood calcium level,BMD,elastic modulus,maximum load and yield load were increased(P<0.05).In TGF-β inhibition group,the renal function indexes BUN,SCR and blood phosphorus levels were increased(P<0.05),while the blood calcium level,BMD,elastic modulus,maximum load and yield load were decreased(P<0.05).Conclusion:Paricalcitol can activate the TGF-β/BMP-7/Smad signaling pathway,inhibit inflammation,improve renal function and abnormal bone metabolism in ROD rats,reduce blood phosphorus level,increase blood calcium level and bone density,repair bone biomechanics,and improve the symptoms of osteodystrophy.

Objective To generate and identify the Itgbl1(integrin beta-like)promoter-driven Cre knock-in mouse line.Methods Itgbll-Cre knock-in mice were generated using clustered regularly interspaced short palindromic repeats(CRISPR)/CRISPR-associated protein 9(Cas9)gene editing.The Itgbl1-Cre mice were crossed with the Cre reporter ROSALSL-tdTomato)mice to detect the expression profile of Cre activity.The tdTomato expression pattern across tissues and cell-specific markers were used to identify the cell types of Itgbl1-expressing cells and their progeny.Results and Conclusion tdTomato was specifically expressed in mucous acinar cells of the sublingual gland,pancreatic islet cells,and gastric endocrine cells.In addition,tdTomato expression was also found in some of the neurons of the retina and brain,as well as in a few cells in the serosal layer of the intestine,articular cartilage,periosteum,and bone marrow.The first Itgbl1-Cre recombinase transgenic mouse line was established,which can specifically label the mucous acinar cells of the sublingual gland.

Objective To investigate the role of hydrogen therapy in reducing radiation-induced lung injury and the specific mechanism. Methods Forty C57BL/6 mice were randomly divided into four groups: normal control group, model group, hydrogen therapy group I, and hydrogen therapy group II. A mouse model of radiation-induced lung injury was established. The pathological changes in the lung tissue of the mice were examined with HE staining. Immunofluorescence staining was used to detect the expression of surface markers of M1 and M2 macrophages to observe macrophage polarization. The expression of interleukin (IL)-6, tumor necrosis factor-α (TNF-α), and IL-10 in the lung tissue was measured by immunohistochemistry. The expression of nuclear factor-kappa B (NF-κB) p65 and phosphorylated NF-κB (P-NF-κB) p65 was measured by Western blot. Results HE staining showed that compared with the control group, the model group exhibited alveolar septal swelling and thickening, vascular dilatation and congestion, and inflammatory cell infiltration in the lung tissue; the hydrogen groups had significantly reduced pathological damage and inflammatory response than the model group, with more improvements in hydrogen group II than in hydrogen group I. Immunohistochemical results showed that compared with those in the control group, the levels of the inflammatory cytokines IL-6 and TNF-α were significantly increased in the model group; the hydrogen groups showed significantly decreased IL-6 and TNF-α levels and a significantly increased level of the anti-inflammatory factor IL-10 than the model group, which were more marked in hydrogen group II than in hydrogen group I. Immunofluorescence results showed that compared with the control group, the expression of the surface marker of M1 macrophages in the model group was significantly upregulated; the hydrogen groups showed significantly downregulated M1 marker and significantly upregulated M2 marker, and hydrogen group II showed significantly increased M2 marker compared with hydrogen group I. Western blot results showed that compared with that in the control group, the ratio of P-NF-κB p65/NF-κB p65 in the model group was significantly increased; the P-NF-κB p65/NF-κB p65 ratio was significantly reduced in the hydrogen groups than in the model group, and was significantly lower in hydrogen group II than in hydrogen group I. Conclusion Hydrogen inhalation therapy may reduce the inflammatory response of radiation-induced lung injury by inhibiting the NF-κB signaling pathway to promote the polarization of the macrophage M1 subtype to the M2 subtype.

A fixation device for experimental rat in moxibustion was developed. Using this device, the points for moxibustion can be fully exposed, and the temperature of moxibustion be relatively constant. This fixation device consists of three parts: fixation seat, fixation clip and moxa-stick holder; characterized as the flexible fixation and easy operation. The device is advantaged at simultaneous operation of moxibustion at many points and supports the point combinations. It makes up for the shortcomings of the existing fixation devices, reduces the workload of moxibustion in experimental rat and improves the work efficiency and experimental safety of experimenters.
Animals ; Rats ; Moxibustion/methods* ; Equipment Design ; Acupuncture Points ; Humans ; Male ; Rats, Sprague-Dawley

To revise GBZ 188 Technical Specification for Occupational Health Surveillance based on national laws, regulations, standards, specifications and legal documents of occupational disease, and combination with the actual situation in China. The main modifications are as follows: the occupational health surveillance for workers exposed to toluene (xylene may implement by reference), bromopropane, methyl iodide, ethylene oxide, chloroacetic acid, indium and its compounds, coal tar, coal tarasphalt, asphalt, β-naphthylamine, dust of metal and its compounds(tin, iron, antimony, barium and its compounds), hard metal dust, erionite dust, low temperature, laser, tick-borne encephalitis virus, Borrelia burgdorferi, and human immunodeficiency virus, for scraper or grind operators, and underground workers using squatting or kneeling position, crawling position, side-lying position, or shoulder position for a long period of time are included. The emergency health screening for workers exposed to arsenic, fluorine and its inorganic compounds, and acrylamide are included. The occupational medical examination (OME) for workers exposed to amino and nitro compounds of benzene, phosgene, monomethylamine, organic fluorine and dimethyl sulfate has been adjusted and made mandatory, with corresponding assessments required upon leaving the job. The special occupational health surveillance for workers exposed to mycobacterium tuberculosis and hepatitis virus is removed. The OME conclusion of reexamination is removed, and standardize recheck/additional inspection requirements. The optional items in OME performed before, during and after leaving post are removed, but the optional items in emergency medical examination are retained. Additional OME items are added. The Guideline for OME Summary Reports is added as informative appendix, and so on. The revised GBZ 188 Technical Specification for Occupational Health Surveillance is more scientific and practical.