Objective To explore the predictive efficacy of several multimodal MRI-based machine learning models for the promoter methylation states of O6-methylguanine-DNA methyltransferase(MGMT)of glioblastoma muliforme(GBM)patients in terms of the GBM heterogeneity and the complexity of the tumor microenvironment.Methods Firstly,the multimodal MRI images of 317 GBM patients from The University of Pennsylvania Glioblastoma(UPENN-GBM)dataset were pre-processed,with four sequences involved in including T1-weighted imaging(T1WI)sequence,T1-weighted contrast-enhanced imaging(T1CE)sequence,T2-weighted imaging(T2WI)sequence and fluid-attenuated inversion recovery(FLAIR)sequence,and the radiomics features were extracted for two regions of interest(ROIs)such as the tumor core region and the tumor edema region.Secondly,the data of the 317 GBM patients were randomly divided into a training set(254 cases)and a test set(63 cases),which underwent normalization with Z-scores and feature selection and dimensionality reduction with Lasso regression.Finally,three models were established respectively with particle swarm optimization-support vector machine(PSO-SVM),C-support vector classification(C-SVC)and adaptive boosting(adaptive boosting(Adaboost)algorithms,and the predictive efficacy of the three models for glioblastoma multiforme MGMT promoter methylation states were evaluated in terms of accuracy and AUC.Results The Adaboost model based on T2WI sequence and radiomics features of the tumor core region had the highest predictive efficacy with accuracy and AUC values of 67％and 0.74,respectively,higher than those of other combinations of sequences,models and regions of interest.Conclusion The multimodal MRI-based machine learning models can be used for the prediction of glioblastoma multiforme MGMT promoter methylation states,which provides powerful support for personalized treatment and prognostic assessment of GBM.[Chinese Medical Equipment Journal,2025,46(6):7-13]

OBJECTIVE: To explore and quantify the association of hot night exposure during the sperm development period (0-90 lag days) with semen quality. METHODS: A total of 6,640 male sperm donors from 6 human sperm banks in China during 2014-2020 were recruited in this multicenter study. Two indices (i.e., hot night excess [HNE] and hot night duration [HND]) were used to estimate the heat intensity and duration during nighttime. Linear mixed models were used to examine the association between hot nights and semen quality parameters. RESULTS: The exposure-response relationship revealed that HNE and HND during 0-90 days before semen collection had a significantly inverse association with sperm motility. Specifically, a 1 °C increase in HNE was associated with decreased sperm progressive motility of 0.0090 (95% confidence interval [ CI]: -0.0147, -0.0033) and decreased total motility of 0.0094 (95% CI: -0.0160, -0.0029). HND was significantly associated with reduced sperm progressive motility and total motility of 0.0021 (95% CI: -0.0040, -0.0003) and 0.0023 (95% CI: -0.0043, -0.0002), respectively. Consistent results were observed at different temperature thresholds on hot nights. CONCLUSION Our findings highlight the need to mitigate nocturnal heat exposure during spermatogenesis to maintain optimal semen quality.
Humans ; Male ; Semen Analysis ; Adult ; Sperm Motility ; Hot Temperature/adverse effects* ; China ; Middle Aged ; Spermatozoa/physiology* ; Young Adult

Objective To explore the predictive efficacy of several multimodal MRI-based machine learning models for the promoter methylation states of O6-methylguanine-DNA methyltransferase(MGMT)of glioblastoma muliforme(GBM)patients in terms of the GBM heterogeneity and the complexity of the tumor microenvironment.Methods Firstly,the multimodal MRI images of 317 GBM patients from The University of Pennsylvania Glioblastoma(UPENN-GBM)dataset were pre-processed,with four sequences involved in including T1-weighted imaging(T1WI)sequence,T1-weighted contrast-enhanced imaging(T1CE)sequence,T2-weighted imaging(T2WI)sequence and fluid-attenuated inversion recovery(FLAIR)sequence,and the radiomics features were extracted for two regions of interest(ROIs)such as the tumor core region and the tumor edema region.Secondly,the data of the 317 GBM patients were randomly divided into a training set(254 cases)and a test set(63 cases),which underwent normalization with Z-scores and feature selection and dimensionality reduction with Lasso regression.Finally,three models were established respectively with particle swarm optimization-support vector machine(PSO-SVM),C-support vector classification(C-SVC)and adaptive boosting(adaptive boosting(Adaboost)algorithms,and the predictive efficacy of the three models for glioblastoma multiforme MGMT promoter methylation states were evaluated in terms of accuracy and AUC.Results The Adaboost model based on T2WI sequence and radiomics features of the tumor core region had the highest predictive efficacy with accuracy and AUC values of 67％and 0.74,respectively,higher than those of other combinations of sequences,models and regions of interest.Conclusion The multimodal MRI-based machine learning models can be used for the prediction of glioblastoma multiforme MGMT promoter methylation states,which provides powerful support for personalized treatment and prognostic assessment of GBM.[Chinese Medical Equipment Journal,2025,46(6):7-13]

Aim Previous studies have indicated that H2S can attenuate myocardial fibrosis.However,it is unclear whether mitochondria-targeted H2S can attenuate myocardial fibrosis after myocardial infarction and whether its mechanism is associated with the regulation of mitochondrial fusion and fission.To investigate this relationship,this study was conducted.Methods Isoproterenol(ISO,50 mg/(kg·d))was injected intraperitoneally to induce myocardial infarction in SD rats.Electrocardiograms were performed on each group of rats,and the rats were treated with AP39(36 μg/(kg·d),intraperitoneal)for 4 weeks.Masson's staining was used to assess the extent of myocardial fibrosis.Western blot was used to measure the expression of relevant proteins.In vitro experiments were performed to induce hy-poxic injury in H9c2 cardiomyocytes with CoCl2(800 μmol/L),H9c2 cells were treated with AP39(100 nmol/L),and the endogenous hydrogen sulfide synthase cystathionine-γ-lyase(CSE)was inhibited using DL-propargylglycine(PAG,2 mmol/L),and fluorescence probe was used to measure the level of reactive oxygen species(ROS)in myocardial cells.Results Myocardial fibrosis was evident in infarcted rat hearts,with a significant accumulation of collagen fibers.Addi-tionally,the expression of CSE and mitofusin 2(MFN2)proteins was downregulated,while dynamin-related protein 1(DRP1)protein expression was increased.Intervention with AP39 significantly improved the above changes,and the ad-dition of CSE inhibitor PAG reversed the effects of AP39.In in vitro experiments,when H9c2 myocardial cells were sub-jected to hypoxic injury induced by CoCl2,intracellular ROS levels increased,MFN2 expression was downregulated,and DRP1 expression was upregulated.AP39 upregulated MFN2 protein expression,inhibited DRP1 protein expression,and reduced ROS levels in myocardial cells.The addition of PAG reversed these changes.Conclusion The mitochon-dria-targeted H2S donor,AP39,can improve myocardial fibrosis in rats with myocardial infarction and promote mitochon-drial fusion and inhibit excessive mitochondrial division.

The imprint desorption electrospray photoionization mass spectrometry was employed to locally image the spatial distribution of chemical components in dried tobacco leaves after initial curing. The relative content distribution of different chemical components was obtained in tobacco leaves. The application of imprinting method could transfer tobacco internal compounds to the surface of porous polytetrafluoroethylene plate,which realized the detection and visual analysis of tobacco internal substances. Besides,the imprint desorption electrospray ionization/post-photoionization (Imprint DESI/PI) mass spectrometry imaging technique had the advantages of non-polarity discrimination,soft ionization and high ionization efficiency for plant samples,and could simultaneously detect and image rich compounds in tobacco samples. A total of 40 kinds of chemical components including alkaloids,amino acids,sugars,acids,ketones and phenols were identified based on high resolution mass spectrometry. The results showed that the representative chemical components of tobacco,such as alkaloids,amino acids and sugars,were mainly distributed near the leaf tip from the vertical analysis and at the left and right leaf edges from the horizontal analysis. Amadori compound (1-Deoxy-1-L-proline-d-fructose) was detected,and the content of Amadori was found to be consistent with that of free amino acid (proline). In addition,the technique was further used to study the climate spot disease area of tobacco,and it was found that the compounds had specific distribution in the climate spot area,which further proved the superiority of this method in studying the growth stress of tobacco leaves.

Objective To study the bioequivalence and safety of two olmesartan medoxomil and hydrochlorothiazide tablets in Chinese healthy subjects.Methods A total of 24 healthy subjects underwent fasting and postprandial tests in a single-center,randomized,open-label,single-dose,two-formulation,two-sequence,two-period,self-cross-over controlled design.The subjects were administered a single oral dose of the test formulation and reference formulation(each containingolmesartan medoxomil 20 mg and hydrochlorothiazide 12.5 mg)in a random cross-over fashion.The plasma concentrations of olmesartan and hydrochlorothiazide were determined by LC-MS/MS.The non-compartmental model analysis of olmesartan and hydrochlorothiazide was conducted using WinNonlin 7.0 software to calculate pharmacokinetic parameters and assess bioequivalence.Results In the fasting test,the pharmacokinetic parameters of olmesartan of test and reference were as follows:Cmax were(798.35±206.78)and(664.52±168.25)ng·mL-1,AUC0-t were(4 430.71±1 294.87)and(3 976.67±1 083.54)h·ng·mL-1,AUC0-∞ were(4 551.67±1 303.06)and(4 090.37±1 103.97)h·ng·mL-1.The pharmacokinetic parameters of hydrochlorothiazide of test and reference were as follows:Cmax were(92.39±35.96)and(96.15±38.76)ng·mL-1,AUC0_t were(548.69±217.11)and(564.41±208.68)h·ng·mL-1,AUC0-∞ were(603.04±228.59)and(619.26±223.27)h·ng·mL-1.In the fed test,the pharmacokinetic parameters of olmesartan of T and R were as follows:Cmax were(583.15±149.48)and(550.57±104.76)ng·mL-1,AUC0-t were(3 585.18±952.72)and(3 292.19±904.58)h·ng·mL-1,AUC0-∞ were(3 696.05±996.55)and(3 396.30±923.41)h·ng·mL-1.The pharmacokinetic parameters of hydrochlorothiazide of test and reference were as follows:Cmax were(70.30±17.88)and(74.70±21.65)ng·mL-1,AUC0-t were(476.60±119.39)and(492.91±144.81)h·ng·mL-1,AUC0-∞ were(523.37±132.67)and(535.81±151.92)h·ng·mL-1.In fasting and fed condition,the 90％confidence interval(90％CI)of Cmax,AUC0-t and AUC0-∞ of olmesartan and hydrochlorothiazide were in 80.00％-125.00％.Conclusion The two olmesartan medoxomil and hydrochlorothiazide tablets were bioequivalent under fasting and fed conditions,and good security.

OBJECTIVE: To determine the role of Tripterygium wilfordii multiglycoside (TGW) in the treatment of psoriatic dermatitis from a cellular immunological perspective. METHODS: Mouse models of psoriatic dermatitis were established by imiquimod (IMQ). Twelve male BALB/c mice were assigned to IMQ or IMQ₊TGW groups according to a random number table. Histopathological changes in vivo were assessed by hematoxylin and eosin staining. Ratios of immune cells and cytokines in mice, as well as PAM212 cell proliferation in vitro were assessed by flow cytometry. Pro-inflammatory cytokine expression was determined using reverse transcription quantitative polymerase chain reaction. RESULTS: TGW significantly ameliorated the severity of IMQ-induced psoriasis-like mouse skin lesions and restrained the activation of CD45⁺ cells, neutrophils and T lymphocytes (all P<0.01). Moreover, TGW significantly attenuated keratinocytes (KCs) proliferation and downregulated the mRNA levels of inflammatory cytokines including interleukin (IL)-17A, IL-23, tumor necrosis factor α, and chemokine (C-X-C motif) ligand 1 (P<0.01 or P<0.05). Furthermore, it reduced the number of γ δ T17 cells in skin lesion of mice and draining lymph nodes (P<0.01). CONCLUSIONS TGW improved psoriasis-like inflammation by inhibiting KCs proliferation, as well as the associated immune cells and cytokine expression. It inhibited IL-17 secretion from γ δ T cells, which improved the immune-inflammatory microenvironment of psoriasis.
Male ; Animals ; Mice ; Tripterygium ; Psoriasis/drug therapy* ; Keratinocytes ; Skin Diseases/metabolism* ; Cytokines/metabolism* ; Imiquimod/metabolism* ; Dermatitis/pathology* ; Disease Models, Animal ; Mice, Inbred BALB C ; Skin/metabolism*

Sulfur dioxide (SO2), a novel endogenous gas signaling molecule, is involved in the regulation of cardiac function. Exerting a key role in progression of hyperthyroidism-induced cardiomyopathy (HTC), myocardial fibrosis is mainly caused by myocardial apoptosis, leading to poor treatment outcomes and prognoses. This study aimed to investigate the effect of SO2 on the hyperthyroidism-induced myocardial fibrosis and the underlying regulatory mechanisms. Elisa, Masson staining, Western-Blot, transmission electron microscope, and immunofluorescence were employed to evaluate the myocardial interstitial collagen deposition, endoplasmic reticulum stress (ERS), apoptosis, changes in endogenous SO2 , and Hippo pathways from in vitro and in vivo experiments. The study results indicated that the hyperthyroidism-induced myocardial fibrosis was accompanied by decreased cardiac function, and down-regulated ERS, apoptosis, and endogenous SO2 -producing enzyme aspartate aminotransferase (AAT)1/2 in cardiac myocytes. In contrast, exogenous SO2 donors improved cardiac function, reduced myocardial interstitial collagen deposition, up-regulated AAT1/2, antagonized ERS and apoptosis, and inhibited excessive activation of Hippo pathway in hyperthyroid rats. In conclusion, the results herein suggested that SO2 inhibited the overactivation of the Hippo pathway, antagonized ERS and apoptosis, and alleviated myocardial fibrosis in hyperthyroid rats. Therefore, this study was expected to identify intervention targets and new strategies for prevention and treatment of HTC.

OBJECTIVE: To evaluate the efficacy and safety of Jianpi Jieyu Decoction (JJD) for treating patients with mild-to-moderate depression of Xin (Heart)-Pi (Spleen) deficiency (XPD) syndrome. METHODS: In this multi-center, randomized, controlled study, 140 patients with mild-to-moderate depression of XPD syndrome were included from Xiyuan Hospital of China Academy of Chinese Medical Sciences and Botou Hospital of Traditional Chinese Medicine from December 2017 to December 2019. They were randomly divided into JJD group and paroxetine group by using a random number table, with 70 cases in each group. The patients in the JJD group were given JJD one dose per day (twice daily at morning and evening, 100 mL each time), and the patients in the paroxetine group were given paroxetine (10 mg/d in week 1; 20 mg/d in weeks 2-6), both orally administration for a total of 6 weeks. The primary outcome was the change of 17-item Hamilton Depression Rating Scale (HAMD-17) score at week 6 from baseline. The secondary outcomes included the Hamilton Anxiety Scale (HAMA) score, Traditional Chinese Medicine Symptom Scale (TCMSS), and Clinlcal Global Impression (CGI) scores at the 2nd, 4th, and 6th weekends of treatment, HAMD-17 response (defined as a reduction in score of >50%) and HAMD-17 remission (defined as a score of ⩽7) at the end of the 6th week of treatment. Adverse events (AEs) were also recorded. RESULTS: From baseline to week 6, the HAMD-17 scores decreased 10.2 ± 4.0 and 9.1 ± 4.9 points in the JJD and paroxetine groups, respectively (P=0.689). The HAMD-17 response occurred in 60% of patients in the JJD group and in 50% of those in the paroxetine group (P=0.292); HAMD-17 remission occurred in 45.7% and 30% of patients, respectively (P=0.128). The differences of CGI scores at the 6th week were not statistically significant (P>0.05). There were significant differences in HAMD-17 scores between the two groups at 2nd and 4th week (P=0.001 and P=0.014). The HAMA scores declined 8.1 ± 3.0 and 6.9 ± 4.3 points from baseline to week 6 in the JJD and paroxetine groups, respectively (P=0.905 between groups). At 4th week of treatment, there was a significant difference in HAMA between the two groups (P=0.037). TCMSS decreased 11.4 ± 5.1, and 10.1 ± 6.8 points in the JJD and paroxetine groups, respectively (P=0.080 between groups). At the 6th week, the incidence of AEs in the JJD group was significantly lower than that in the paroxetine group (7.14% vs. 22.86%, P<0.05). CONCLUSION Compared with paroxetine, JJD was associated with a significantly lower incidence of AEs in patients with mild-to-moderate depression of XPD syndrome, with no difference in efficacy at 6 weeks. (Trial registration No. ChiCTR2000040922).
Humans ; Paroxetine/adverse effects* ; Spleen ; Anxiety ; Syndrome ; Medicine, Chinese Traditional ; Treatment Outcome ; Double-Blind Method

Aim To explore the mechanism of process¬ing and increasing efficiency of Arisaematis rhizomz preparatum. Methods UPLC-Q-TOF-MS/MS tech¬nology was used to detect the chemical components be¬fore and after processing of Arisaematis rhizomz prepara¬tum, and its mechanism of action was analysed in the treatment of 44 asthma and phlegm " by using network pharmacology. A rat model of allergic asthma was es- tablished to compare the efficacy of Arisaematis rliizoma before and after processing. Results A total of 27 chemical components were identified, among which cur- cumin ,6-gingerol and other components increased after processing. Combined with the database prediction, the action mechanism of the 36 chemical components in the treatment of 44 asthma and phlegm" diseases was dis¬cussed and predicted through network pharmacology. The results of animal experiments showed that the effect of processed Arisaematis rhizoma on allergic asth¬ma was better than that of Arisaematis rhizoma, but there was no significant difference. Conclusions The addition of curcumin, 6-gingerol, camphor, demethyl- curcumin and other components after the processed Ari¬saematis rhizomz preparatum may be the reason for the synergistic effect of Arisaematis rhizomz preparatum in the treatment of allergic asthma.