BACKGROUND:Type 2 diabetes mellitus is a secondary causative factor for osteoporosis.As highly heterogeneous innate immune cells,macrophages may be polarized in a hyperglycemic environment,which affects osteogenesis-angiogenesis coupling.This may be a research target for improving bone quality in patients with type 2 diabetic osteoporosis.OBJECTIVE:To explore the role of modulating macrophage M1/M2 polarization to influence osteogenesis-angiogenesis coupling in type 2 diabetic osteoporosis and to summarize the effects of commonly used anti-glucose and anti-osteoporosis drugs and bone biorepair materials on bone osteogenesis-angiogenesis coupling by regulating macrophage M1/M2 polarization.METHODS:The keywords of"macrophage polarization,type 2 diabetes,osteoporosis,osteogenesis-angiogenesis coupling"in Chinese and"macrophages,macrophage polarization,osteogenesis-angiogenesis coupling"in English were used to search for relevant literature in CNKI and PubMed,respectively.Seventy-nine pieces of literature were screened and analyzed.RESULTS AND CONCLUSION:(1)Type 2 diabetes mellitus causes the body to be in a hyperglycemic environment and increases the secretion of inflammatory-related factors in the body,which promotes macrophage polarization towards M1 and decreases the number of M2 macrophages.(2)In type 2 diabetes,promoting M2 macrophage polarization is beneficial for osteogenesis-angiogenesis coupling.(3)Some anti-glycemic drugs,active ingredients in traditional Chinese medicine and bone biorepair materials can improve type 2 diabetic osteoporosis by regulating macrophage M1/M2 polarization,reducing M1/M2 ratio,and promoting osteogenesis-angiogenesis coupling.

BACKGROUND:Type 2 diabetes mellitus is a secondary causative factor for osteoporosis.As highly heterogeneous innate immune cells,macrophages may be polarized in a hyperglycemic environment,which affects osteogenesis-angiogenesis coupling.This may be a research target for improving bone quality in patients with type 2 diabetic osteoporosis.OBJECTIVE:To explore the role of modulating macrophage M1/M2 polarization to influence osteogenesis-angiogenesis coupling in type 2 diabetic osteoporosis and to summarize the effects of commonly used anti-glucose and anti-osteoporosis drugs and bone biorepair materials on bone osteogenesis-angiogenesis coupling by regulating macrophage M1/M2 polarization.METHODS:The keywords of"macrophage polarization,type 2 diabetes,osteoporosis,osteogenesis-angiogenesis coupling"in Chinese and"macrophages,macrophage polarization,osteogenesis-angiogenesis coupling"in English were used to search for relevant literature in CNKI and PubMed,respectively.Seventy-nine pieces of literature were screened and analyzed.RESULTS AND CONCLUSION:(1)Type 2 diabetes mellitus causes the body to be in a hyperglycemic environment and increases the secretion of inflammatory-related factors in the body,which promotes macrophage polarization towards M1 and decreases the number of M2 macrophages.(2)In type 2 diabetes,promoting M2 macrophage polarization is beneficial for osteogenesis-angiogenesis coupling.(3)Some anti-glycemic drugs,active ingredients in traditional Chinese medicine and bone biorepair materials can improve type 2 diabetic osteoporosis by regulating macrophage M1/M2 polarization,reducing M1/M2 ratio,and promoting osteogenesis-angiogenesis coupling.

The aim of this study is to investigate the inhibitory effects and mechanism of three or-ganic acids,including formic acid(FA),butyric acid(BA)and lactic acid(LA),on the pathogenic-ity of Salmonella enteritidis(SE),Escherichia coli(EC)and Staphylococcus aureus(SA).The growth of pathogens was detected by Minimum Inhibitory Concentration(MIC)and Oxford Cup antimicrobial zone assays.The motility of pathogens was detected by soft agar plate method,and the biofilm of pathogens was detected by crystal violet staining.Quantitative real-time polymerase chain reaction(qRT-PCR)was used to measure the expression levels of genes related to the patho-genicity of SE.The results showed that FA and BA significantly inhibited the growth of SE,EC and SA,and FA had a superior inhibitory effect on EC(MIC:0.25 g/L;inhibition zone:20.0 mm)and SA(MIC:0.5 g/L;inhibition zone:25.0 mm).In addition,the three organic acids significantly inhibited the motility of SE,EC and SA as accessed by swimming and swarming assays,and FA showed the best inhibition effect.Besides,the three organic acids,especially FA,markedly inhibited the biofilm formation of SE,EC and SA.Finally,our results showed that the three organic acids in-hibited the expression of the main virulence genes encoded by SPI-1(InvA,InvF,SopE,SopB,SipB,HilA and SipA),SPI-2(SopD2),pili-related genes(FliF,LpfA,SefA and FimF)and flagellum-related genes(FlhD,FliC and FliD)of SE.This study demonstrates that FA,BA,and LA significantly inhibited the growth and pathogenicity of the four pathogens,among which FA showed the most obvious effect on inhibiting the growth,motility,biofilm formation and virulence gene expression.Our study provided a theoretical basis for the application of organic acids in the field of animal husbandry.

Objective:To evaluate the cost-effectiveness of Artificial Intelligence(AI)-assisted physician image interpretation in the screening of early-stage lung cancer(stage Ⅰ)from the perspective of the healthcare system,so as to provide evidence for screening strategy optimization.Methods:Based on community populations,a decision tree model was constructed to simulate the cost-effectiveness of two screening strategies:Al-assisted physician image interpretation and independent physician image interpretation,and the Incremental Cost-Effectiveness Ratio(ICER)was calculated.Results:In the basic analysis,the per capita costs of the AI-assisted group and the physician group were 1 483 yuan and 1 489 yuan,respectively,and the effectiveness was 17.02 Quality-Adjusted Life Years(QALYs)and 16.99 QALYs,respectively.Compared with the physician group,the AI-assisted group saved 6 yuan per case and obtained an additional 0.03 QALY per case.The ICER was negative,indicating that the AI-assisted group had an absolute advantage.Threshold analysis showed that when the inspection cost of Al-assisted physician image interpretation increased to 428 yuan per case,the average cost per case was the same between these two groups,and the ICER was 0.When the inspection cost of Al-assisted physician image interpretation was above 428 yuan,the ICER was positive,still demonstrating economic efficiency.Conclusion:AI-assisted image interpretation is cost-effective in the screening of early-stage lung cancer and can facilitate the"early detection,early diagnosis,and early treatment"of lung cancer based on improving the efficiency and accuracy of screening,so as to provide scientific support for health system resource optimization.

The aim of this study is to investigate the inhibitory effects and mechanism of three or-ganic acids,including formic acid(FA),butyric acid(BA)and lactic acid(LA),on the pathogenic-ity of Salmonella enteritidis(SE),Escherichia coli(EC)and Staphylococcus aureus(SA).The growth of pathogens was detected by Minimum Inhibitory Concentration(MIC)and Oxford Cup antimicrobial zone assays.The motility of pathogens was detected by soft agar plate method,and the biofilm of pathogens was detected by crystal violet staining.Quantitative real-time polymerase chain reaction(qRT-PCR)was used to measure the expression levels of genes related to the patho-genicity of SE.The results showed that FA and BA significantly inhibited the growth of SE,EC and SA,and FA had a superior inhibitory effect on EC(MIC:0.25 g/L;inhibition zone:20.0 mm)and SA(MIC:0.5 g/L;inhibition zone:25.0 mm).In addition,the three organic acids significantly inhibited the motility of SE,EC and SA as accessed by swimming and swarming assays,and FA showed the best inhibition effect.Besides,the three organic acids,especially FA,markedly inhibited the biofilm formation of SE,EC and SA.Finally,our results showed that the three organic acids in-hibited the expression of the main virulence genes encoded by SPI-1(InvA,InvF,SopE,SopB,SipB,HilA and SipA),SPI-2(SopD2),pili-related genes(FliF,LpfA,SefA and FimF)and flagellum-related genes(FlhD,FliC and FliD)of SE.This study demonstrates that FA,BA,and LA significantly inhibited the growth and pathogenicity of the four pathogens,among which FA showed the most obvious effect on inhibiting the growth,motility,biofilm formation and virulence gene expression.Our study provided a theoretical basis for the application of organic acids in the field of animal husbandry.

Objective:To evaluate the cost-effectiveness of Artificial Intelligence(AI)-assisted physician image interpretation in the screening of early-stage lung cancer(stage Ⅰ)from the perspective of the healthcare system,so as to provide evidence for screening strategy optimization.Methods:Based on community populations,a decision tree model was constructed to simulate the cost-effectiveness of two screening strategies:Al-assisted physician image interpretation and independent physician image interpretation,and the Incremental Cost-Effectiveness Ratio(ICER)was calculated.Results:In the basic analysis,the per capita costs of the AI-assisted group and the physician group were 1 483 yuan and 1 489 yuan,respectively,and the effectiveness was 17.02 Quality-Adjusted Life Years(QALYs)and 16.99 QALYs,respectively.Compared with the physician group,the AI-assisted group saved 6 yuan per case and obtained an additional 0.03 QALY per case.The ICER was negative,indicating that the AI-assisted group had an absolute advantage.Threshold analysis showed that when the inspection cost of Al-assisted physician image interpretation increased to 428 yuan per case,the average cost per case was the same between these two groups,and the ICER was 0.When the inspection cost of Al-assisted physician image interpretation was above 428 yuan,the ICER was positive,still demonstrating economic efficiency.Conclusion:AI-assisted image interpretation is cost-effective in the screening of early-stage lung cancer and can facilitate the"early detection,early diagnosis,and early treatment"of lung cancer based on improving the efficiency and accuracy of screening,so as to provide scientific support for health system resource optimization.

[Objective]To investigate the effect of ivabradine,an inhibitor of peripheral HCN channel,on remifentanil-induced hyperalgesia in mice.[Methods]The model of remifentanil-induced hyperalgesia was established by intravenously infusing remifentanil 2 μg/(kg·min)for 1 h through tail vein of adult male C57/BL6 mice.To observe the effect of ivabradine on remifentanil induced hyperalgesia,ivabradine(5 mg/kg)was injected subcutaneously 30 minutes before remifentanil infusion.Forty mice were equally and randomly divided into 4 groups:saline group,remifentanil group,remifentanil+vehicle group and remifentanil+ivabradine group.In each group,six mice were used to test mechanical and thermal pain thresholds at 24 h before(baseline)and on 1 d,3 d,5 d after remifentanil or saline infusion.Four mice of each group were used to detected c-Fos positive cell in spinal dorsal horn by immunofluorescence on 1 d after remifentanil or saline infusion.[Results]Compared with the saline group,a significant decrease in mechanical or thermal threshold was observed on 1 d and 3 d after remifentanil infusion(P<0.001),and the number of c-Fos positive neurons in the lumbar dorsal horn increased significantly(P<0.001).Compared with vehicle group,subcutaneous injection of ivabradine effectively inhibited remifentanil induced hyperalgesia(P<0.001)and blocked the increase of c-Fos positive neurons in the lumbar dorsal horn on 1 d following remifentanil treatment(P<0.001).[Conclusions]Ivabradine could effectively prevent remifentanil-induced hyperalgesia in mice.The possible mechanism underlying this effect is that ivabradine suppresses the enhanced peripheral nociceptive input onto spinal cord neurons.

Objective Through the development of"real-time monitoring,early warning and tracking management sys-tem for infectious diseases in hospitals",real-time monitoring and early warning are realized,report cards are generated,and case tracking and management of infectious diseases are formed.Methods We selected 22 185 cases of infectious disease re-ports from April 2020 to October 2022 and 33 640 cases of infectious disease reports from November 2022 to May 2024,and com-pared the 19-month period before and after the launch of the new infectious disease early warning management system with that be-fore the launch of the original traditional infectious disease reporting management system,and compared the rate of infectious dis-ease reporting,the accuracy of infectious disease reporting,the timeliness of infectious disease reporting(time),the accuracy of infectious disease reporting,and the quality of infectious disease reporting(time),Infectious disease reporting timeliness(time),effectiveness of infectious disease tracking,and clinical medical staff's satisfaction with infectious disease reporting were compared and analyzed.Results After the use of the new hospital infectious disease early warning and tracking management sys-tem,the differences in infectious disease reporting rate,infectious disease reporting accuracy,infectious disease reporting timeli-ness,infectious disease tracking effectiveness,and clinical medical staff's satisfaction with infectious disease reporting were all sta-tistically significant(P＜0.05).Conclusion The development of"real-time monitoring,early warning and tracking management system for infectious diseases in hospitals"has significantly improved the reporting rate of infectious diseases,the accuracy of infec-tious disease reporting,the timeliness of infectious disease reporting,the effectiveness of infectious disease tracking,and the satis-faction of infectious disease reporting of clinical medical staff,and it has the characteristics of real-time,high efficiency and accura-cy,and the effect of early warning and tracking management is good,which has good value for promotion.It is characterized by re-al-time,high efficiency and accuracy,with good effect of early warning and tracking management,and has good promotion value.

Objectives:To explore the feasibility of using hemodynamic phenotypes to guide antihypertensive treatment medication. Methods:This study prospectively included 100 hypertensive patients who received outpatient treatment at Haidian Hospital in Beijing from January 2021 to December 2021.Evaluation of blood pressure was conducted using laboratory and home blood pressure measurements,impedance cardiogram(ICG)detection was performed.Following hemodynamic phenotypes and therapeutic phenotypes were established:hyperkinetic phenotype(increased heart rate)using β-blockers,large artery phenotype(increased large artery resistance index)using calcium antagonists,peripheral vascular phenotype(increased peripheral vascular resistance index)using renin angiotensin system inhibitors,and high-volume phenotype(increased blood volume saturation)using diuretics.Patients were randomly divided into ICG group(n=50,medication treatment based on hemodynamic characteristics)and control group(n=50,treatment based on hypertension guidelines and clinical experience).Patients were followed up for 8 weeks and the blood pressure reduction amplitude and compliance rate were compare between the two groups. Results:There was no statistically significant difference in baseline data such as sex,age,height,weight,and hemodynamic parameters between the two groups(all P＞0.05).There was no statistically significant difference in the types of baseline medication between the two groups(P＞0.05).After medication adjustment,the types of medication increased,but the difference between the two groups was still not statistically significant(P＞0.05).Clinic blood pressure:After 8 weeks,decreases in systolic([8.38±27.78]mmHg,1 mmHg=0.133 kPa)and diastolic([3.94±18.15]mmHg)blood pressure were greater in the ICG group as compared to the control group(both P＜0.05).The blood pressure compliance rate(＜140/90 mmHg)was higher in the ICG group than that in the control group(66.0%vs.42.0%,P＜0.05).Family blood pressure:after 8 weeks,the reduction in systolic([8.22±21.31]mmHg,P＜0.01)and diastolic([4.76±13.88]mmHg,P＜0.05)blood pressure was greater in the ICG group compared to the control group.The blood pressure compliance rate(＜135/85 mmHg)was higher in the ICG group than that in the control group(70.0%vs.48.0%,P＜0.05).Changes in corresponding hemodynamic parameters before and after two different antihypertensive drugs:the heart rate,arterial resistance index,peripheral vascular resistance index,and blood volume saturation of the ICG group all significantly decreased compared to baseline(all P＜0.05).The control group showed a significant decrease in peripheral vascular resistance index compared to baseline(P＜0.05),while there was no statistically significant difference in heart rate,large artery resistance index,and blood volume saturation compared to baseline(all P＞0.05). Conclusions:By using impedance cardiogram to assess hemodynamic phenotypes and accurately guide the selection of antihypertensive drugs based on hemodynamic phenotypes,it is possible to more effectively lower blood pressure and improve blood pressure compliance.

A 30-year-old female patient with acute myeloid leukemia received chemotherapy with IA regimen of cytarabine (200 mg/m 2 once daily by IV infusion, 7 days in total) and idarubicin (10 mg/m 2 once daily by IV infusion, 3 days in total). On the 5th day of treatments, the patient developed dyspnea, with breath rate 35 times/min and finger pulse oxygen saturation 92%. She was treated with high flow oxygen inhalation, but the patient′s dyspnea was aggravated at night, with heart rate 160 times/min and breath rate 50 times/min; the finger pulse oxygen saturation decreased to 50%. Lung CT examination next day showed bilateral alveolar pulmonary edema with interstitial pulmonary edema, which was considered as non- cardiogenic pulmonary edema caused by cytarabine. Chemotherapy drugs were stopped and glucocorticoids, diuresis, lung protective ventilation, prone position ventilation, and other treatments were given, but the patient′s relevant symptoms were not improved. Ten days later, the patient developed secondary pneumothorax and died due to respiratory failure.