Fusarium head blight (FHB), caused by Fusarium graminearum, not only leads to severe yield losses but also poses a threat to food safety due to the mycotoxins produced by the pathogen. Since this disease is preventable but not curable, the current control mainly relies on chemical fungicides, the long-term use of which may lead to pathogen resistance and environmental pollution. To develop green control methods, we screened 13 biocontrol strains from the rhizosphere soil of wheat, among which strain No. 12 (identified as Pythium aphanidermatum) showed significant antifungal effects. In the plate confrontation test, this strain reduced the colony diameter of the pathogen by 69.2% (1.47 mm vs. 4.78 mm in the control group), with an inhibition rate of 77% (P < 0.01). Microscopic observation revealed obvious deformations in the pathogen hyphae, suggesting a lysing effect. The coleoptile experiment further confirmed that the pre-treatment with this strain reduced the incidence rate to 0. These findings provide new candidate strains for the biocontrol of FHB and offer a scientific basis for reducing the use of chemical fungicides and promoting sustainable agricultural development.
Triticum/growth & development* ; Fusarium/growth & development* ; Plant Diseases/prevention & control* ; Soil Microbiology ; Pest Control, Biological/methods* ; Pythium/physiology* ; Biological Control Agents ; Rhizosphere ; Fungicides, Industrial

Objective To investigate the vasodilatory effect of luteolin on isolated denuded-endothelium rat thoracic aorta(DRTA)vascular rings,and the mechanistic role of the Kv7 ion channel.Methods The tension of DRTA vascular rings was measured using an ex vivo tissue perfusion muscle-tone detection system.DRTA vascular rings were pre-contracted with 60 mmol/L KCl or 0.3 μmol/L U46619,and the effect of luteolin on vascular-ring relaxation was observed at 1,3,10,30,100 and 300 μmol/L.The effects of 4-AP,XE-991,and ML213 on luteolin-induced vasodilation were also observed.The effect of luteolin on KCNQ1-KCNQ5 expression in the thoracic aorta was detected by real-time fluorescence quantitative polymerase chain reaction.Expression levels of Kv7.1 and Kv7.4 proteins in the DRTA were detected by Western blot.Results(1)The luteolin-induced maximum vasodilation rates in DRTA pre-contracted with 60 mmol/L KCl and 0.3 μmol/L U46619 were(97.67±8.51)％and(98.42±9.76)％,respectively.The vasodilation effect was concentration-dependent(P＜0.05).(2)4-AP(3 mmol/L)significantly reduced the vasodilatory effect of luteolin on DRTA vascular rings at 10,30,and 100 μmol/L(P＜0.05),and XE-991(3 μmol/L)significantly reduced the effect of luteolin at 30 and 100 μmol/L(P＜0.05),while ML213(1 μmol/L)significantly enhanced the vasodilatory effect of luteolin at 3,10,and 30 μmol/L(P＜0.05).(3)The relative gene expression levels of each subtype of Kv7 channel in normal DRTA were KCNQ1＞KCNQ5＞KCNQ4＞KCNQ3＞KCNQ2,with KCNQ1 being the most highly expressed.(4)Luteolin significantly enhanced the expression levels of KCNQ1 at 3,10,30,and 100 μmol/L,KCNQ2 at 1,3,10,30,and 100 μmol/L(P＜0.05),KCNQ3 at 3,10,30,and 100 μmol/L,and KCNQ4 at 10,30,and 100 μmol/L(P＜0.05),but did not significantly enhance the expression of KCNQ5 at 1,3,10,30,or 100 μmol/L(P＞0.05).(5)Luteolin significantly increased the expression of Kv7.1 protein in DRTA at 3,10,30,and 100 μmol/L(P＜0.05)and the expression of Kv7.4 at 10,30,and 100 μmol/L(P＜0.05).Conclusions Luteolin-induced dilation of DRTA vascular rings may be related to the enhanced gene expression of KCNQ1-4 and increased expression of Kv7.1 and Kv7.4 channel proteins.

OBJECTIVE The non-volatile and volatile chemical components in Yin-Qiao-Qing-Re Tablets were analyzed sepa-rately using ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS/MS)and Gas Chromatography Mass Spectrometry(GC-MS).METHODS The non-volatile components were analyzed using a Waters ACQUITY UPLC BEH C18 column(2.1 mm×100 mm,1.7 μm),with a mobile phase consisting of 0.1％formic acid aqueous solution(A)and acetonitrile(B)for gradient elution,a flow rate of 0.35 mL·min-1,an injection volume of 5 μL,and a column temperature of 30 ℃;the volatile components were analyzed using an Agilent SH-I-5MS column(5％Phenyl Methyl Silox,30 m×250 μm,0.25 μm);the procedure was temperature-programmed,with an injection volume of 1 μL,a split ratio of 10∶1,a flow rate of 1.0 mL·min-1,and an inlet temperature of 200 ℃.RESULTS A total of 134 non-volatile chemical components and 23 volatile components were analyzed and identified from Yin-Qiao-Qing-Re Tablets,among which 49 compounds were confirmed through comparison with reference stand-ards.The non-volatile components mainly include 27 flavonoids,21 organic acids,15 lignans,14 iridoids,12 phenylethanoid glyco-sides,11 saponins,10 alkaloids,5 terpenes,4 amino acids,3 phenylpropanoids,3 nucleosides,3 xanthones,3 phenolic glycosides,2 chromones and 1 carbohydrate.The volatile components mainly include 11 monoterpenes,5 alcohols and phenols,3 alkenes,2 ke-tones,1 ester,and 1 hydrocarbon.CONCLUSION This study rapidly identifies the chemical components of Yin-Qiao-Qing-Re Tablets,laying a preliminary foundation for research on the pharmacodynamic substances of Yin-Qiao-Qing-Re Tablets and the im-provement of quality control standards.

OBJECTIVE The non-volatile and volatile chemical components in Yin-Qiao-Qing-Re Tablets were analyzed sepa-rately using ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS/MS)and Gas Chromatography Mass Spectrometry(GC-MS).METHODS The non-volatile components were analyzed using a Waters ACQUITY UPLC BEH C18 column(2.1 mm×100 mm,1.7 μm),with a mobile phase consisting of 0.1％formic acid aqueous solution(A)and acetonitrile(B)for gradient elution,a flow rate of 0.35 mL·min-1,an injection volume of 5 μL,and a column temperature of 30 ℃;the volatile components were analyzed using an Agilent SH-I-5MS column(5％Phenyl Methyl Silox,30 m×250 μm,0.25 μm);the procedure was temperature-programmed,with an injection volume of 1 μL,a split ratio of 10∶1,a flow rate of 1.0 mL·min-1,and an inlet temperature of 200 ℃.RESULTS A total of 134 non-volatile chemical components and 23 volatile components were analyzed and identified from Yin-Qiao-Qing-Re Tablets,among which 49 compounds were confirmed through comparison with reference stand-ards.The non-volatile components mainly include 27 flavonoids,21 organic acids,15 lignans,14 iridoids,12 phenylethanoid glyco-sides,11 saponins,10 alkaloids,5 terpenes,4 amino acids,3 phenylpropanoids,3 nucleosides,3 xanthones,3 phenolic glycosides,2 chromones and 1 carbohydrate.The volatile components mainly include 11 monoterpenes,5 alcohols and phenols,3 alkenes,2 ke-tones,1 ester,and 1 hydrocarbon.CONCLUSION This study rapidly identifies the chemical components of Yin-Qiao-Qing-Re Tablets,laying a preliminary foundation for research on the pharmacodynamic substances of Yin-Qiao-Qing-Re Tablets and the im-provement of quality control standards.

Objective To investigate the vasodilatory effect of luteolin on isolated denuded-endothelium rat thoracic aorta(DRTA)vascular rings,and the mechanistic role of the Kv7 ion channel.Methods The tension of DRTA vascular rings was measured using an ex vivo tissue perfusion muscle-tone detection system.DRTA vascular rings were pre-contracted with 60 mmol/L KCl or 0.3 μmol/L U46619,and the effect of luteolin on vascular-ring relaxation was observed at 1,3,10,30,100 and 300 μmol/L.The effects of 4-AP,XE-991,and ML213 on luteolin-induced vasodilation were also observed.The effect of luteolin on KCNQ1-KCNQ5 expression in the thoracic aorta was detected by real-time fluorescence quantitative polymerase chain reaction.Expression levels of Kv7.1 and Kv7.4 proteins in the DRTA were detected by Western blot.Results(1)The luteolin-induced maximum vasodilation rates in DRTA pre-contracted with 60 mmol/L KCl and 0.3 μmol/L U46619 were(97.67±8.51)％and(98.42±9.76)％,respectively.The vasodilation effect was concentration-dependent(P＜0.05).(2)4-AP(3 mmol/L)significantly reduced the vasodilatory effect of luteolin on DRTA vascular rings at 10,30,and 100 μmol/L(P＜0.05),and XE-991(3 μmol/L)significantly reduced the effect of luteolin at 30 and 100 μmol/L(P＜0.05),while ML213(1 μmol/L)significantly enhanced the vasodilatory effect of luteolin at 3,10,and 30 μmol/L(P＜0.05).(3)The relative gene expression levels of each subtype of Kv7 channel in normal DRTA were KCNQ1＞KCNQ5＞KCNQ4＞KCNQ3＞KCNQ2,with KCNQ1 being the most highly expressed.(4)Luteolin significantly enhanced the expression levels of KCNQ1 at 3,10,30,and 100 μmol/L,KCNQ2 at 1,3,10,30,and 100 μmol/L(P＜0.05),KCNQ3 at 3,10,30,and 100 μmol/L,and KCNQ4 at 10,30,and 100 μmol/L(P＜0.05),but did not significantly enhance the expression of KCNQ5 at 1,3,10,30,or 100 μmol/L(P＞0.05).(5)Luteolin significantly increased the expression of Kv7.1 protein in DRTA at 3,10,30,and 100 μmol/L(P＜0.05)and the expression of Kv7.4 at 10,30,and 100 μmol/L(P＜0.05).Conclusions Luteolin-induced dilation of DRTA vascular rings may be related to the enhanced gene expression of KCNQ1-4 and increased expression of Kv7.1 and Kv7.4 channel proteins.

OBJECTIVE To evaluate the effectiveness and safety of Panlongqi tablets in the treatment of fractures based on real-world research.METHODS From September 2021 to September 2023,fracture patients admitted to 33 medical institutions were collected retrospectively.Patients who received conventional treatment were divided into control group(n=3 750),and patients who received combination of Panlongqi tablets on the basis of conventional treatment were divided into observation group(n=3 706).Self-reported indicators of patients were collected through telephone follow-up at 0,4,7 and 14 days after treatment.The improvement values of pain score,swelling score and health utility value,as well as effective rate and adverse drug reactions were compared between 2 groups.The propensity matching score(PSM)method was adopted to perform baseline matching on patient's age,gender,fracture site,fracture severity,surgical type,type of hospital,and other indicators.Statistical analysis was performed on each therapeutic effect indicator.RESULTS After PSM,a total of 6 425 patients were included,of which 3 055 were in the observation group and 3 370 were in the control group.After 14 days of treatment,the observation group showed significant improvement in pain score(4.768 vs.4.353),swelling grading score(2.979 vs.2.391),and life quality utility value(0.430 vs.0.363),as well as effective rate(87.20％vs.75.99％)compared to the control group(P＜0.05).The results of subgroup analyses conducted by gender,age,hospital type,and fracture site were consistent with the aforementioned results.In terms of safety,the observation group had no serious adverse reactions,with a total of 29 cases of mild adverse reactions such as dizziness,stomach pain,and allergies,with an incidence rate of 0.78％.CONCLUSIONS Panlongqi tablets combined with conventional treatment are significantly better than conventional treatment in improving pain,swelling,quality of life,and effective rate in patients with fractures,and have good safety.

Objective:To establish a disease risk prediction model for the newborn screening system of inherited metabolic diseases by artificial intelligence technology.Methods:This was a retrospectively study. Newborn screening data ( n=5 907 547) from February 2010 to May 2019 from 31 hospitals in China and verified data ( n=3 028) from 34 hospitals of the same period were collected to establish the artificial intelligence model for the prediction of inherited metabolic diseases in neonates. The validity of the artificial intelligence disease risk prediction model was verified by 360 814 newborns ' screening data from January 2018 to September 2018 through a single-blind experiment. The effectiveness of the artificial intelligence disease risk prediction model was verified by comparing the detection rate of clinically confirmed cases, the positive rate of initial screening and the positive predictive value between the clinicians and the artificial intelligence prediction model of inherited metabolic diseases. Results:A total of 3 665 697 newborns ' screening data were collected including 3 019 cases ' positive data to establish the 16 artificial intelligence models for 32 inherited metabolic diseases. The single-blind experiment ( n=360 814) showed that 45 clinically diagnosed infants were detected by both artificial intelligence model and clinicians. A total of 2 684 cases were positive in tandem mass spectrometry screening and 1 694 cases were with high risk in artificial intelligence prediction model of inherited metabolic diseases, with the positive rates of tandem 0.74% (2 684/360 814)and 0.46% (1 694/360 814), respectively. Compared to clinicians, the positive rate of newborns was reduced by 36.89% (990/2 684) after the application of the artificial intelligence model, and the positive predictive values of clinicians and artificial intelligence prediction model of inherited metabolic diseases were 1.68% (45/2 684) and 2.66% (45/1 694) respectively. Conclusion:An accurate, fast, and the lower false positive rate auxiliary diagnosis system for neonatal inherited metabolic diseases by artificial intelligence technology has been established, which may have an important clinical value.

Insulin-mediated glucose metabolism of peripheral tissue and liver was assessed by euglycemic hyperinsulinemia clamp technique in lipid-infused rats. There was a significant increase in plasma free fatty acids and a significant reduction in glucose infusion rates in the lipid-infused group. The suppressive effect of insulin on hepatic glucose production (HGP) was significantly blunted and the rate of glucose disappearance showed a slight decrease in the lipid-infused rats, suggesting that lipid impaired the abilities of insulin to suppress lipolysis, HGP and insulin-mediated glucose utilization in peripheral tissues.