Aim To explore the mechanism of the syn-ergistic effect of the ferroptosis inducer erastin com-bined with shikonin in promoting ferroptosis in human hypertrophic scar fibroblasts(HSFBs).Methods Hypertrophic scar tissues provided by the General Hos-pital of Ningxia Medical University were collected,and HSFBs were extracted.HSFBs were identified by HE staining and immunofluorescence.The inhibitory rates of Era and SHK on HSFBs at different concentrations were detected by CCK-8 assay,and the IC50 value was calculated.CompuSyn software was used to calculate the co-use index(CI).Control group,Erastin(Era)group,shikonin(SHK)group and Era+SHK group were set up,and the number and morphological chan-ges of cells were observed after 24 hours of interven-tion.The ability of cell migration and invasion was de-tected by scratch test and Transwell test.The changes of malondialdehyde(MDA),total iron ion and reactive oxygen species(ROS)were detected by corresponding biochemical kits.The expressions of collagen I,α-SMA and GOT1,SLC7A11,GPX4 and FTH1 were detected by Western blot.Results The IC50 value of Era and SHK of primary HSFBs was 2.22 μmol·L-1 and 3.94μmol·L-1 respectively,which was used as the single drug concentration for subsequent experiments.The CompuSyn software was employed to calculate the CI value when the two drugs were used in combination,and the concentrations corresponding to CI=0.39597(Era:1.2 μmol·L-1+SHK:1.5 μmol·L-1)were selected as subsequent combination concentrations(Because when CI was equal to 0.395 97,the concen-tration of each drug was lower than the concentration of single drug,and the inhibition rate of combined drug was greater than 50％).Compared with the monother-apy group,the number of HSFBs in the SHK+Era group was significantly reduced,cell membrane showed breakage and vesiculation,cell wrinkling became smal-ler,and cytoplasm was concentrated.The migration and invasion ability of HSFBs in the SHK+Era group were obviously weakened(P＜0.05),and the expres-sion of fibrosis-related proteins collagen Ⅰ and α-SMA was reduced(P＜0.05);the contents of MDA,total i-ron ions,and ROS in HSFBs of the SHK+Era group increased(P＜0.05),and the protein expression lev-els of SLC7A11,GOT1,GPX4,and FTH1 further de-creased(P＜0.05).Conclusions Erastin in combi-nation with shikonin can synergistically inhibit the pro-liferation,migration and fibrosis levels of HSFBs.The mechanism may be that erastin enhances the inhibition of shikotin on GOT1,increases the levels of cellular i-ron ions,ROS,and lipid peroxides,thereby promoting ferroptosis in HSFBs.

AIM To establish a GC-MS/MS method for the analysis of volatile components in Yinhu Ganmao Powder,and to determine the contents of α-pinene,camphene,sabinene,β-pinene,α-terpinene,(+)-limonene,p-cymene,1,8-cineole,linalool,L-menthol,terpinen-4-ol,DL-menthol,α-terpineol,tridecane,pulegone,caryophyllene,humulene,n-hexadecane and patchouli alcohol.METHODS The analysis was performed on a DB-624 UI capillary column(30 m×0.25 mm×1.40 μm ),and electron ionization source was adopted with multiple reaction monitoring mode.RESULTS Fifty volatile components and twenty-five liposoluble components were identified in volatile oils and medicinal material powder,respectively.Nineteen constituents showed good linear relationships within their own ranges(r ≥ 0.999 0),whose average recoveries were 84.43％-113.31％with the RSDs of less than 9.15％.CONCLUSION This stable,accurate and reproducible method can provide a reference for the quality evaluation of Yinhu Ganmao Powder.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Nonobstructive azoospermia (NOA), one of the most severe types of male infertility, etiology often remains unclear in most cases. Therefore, this study aimed to detect four biallelic detrimental variants (0.5%) in the minichromosome maintenance domain containing 2 ( MCMDC2 ) genes in 768 NOA patients by whole-exome sequencing (WES). Hematoxylin and eosin (H&E) demonstrated that MCMDC2 deleterious variants caused meiotic arrest in three patients (c.1360G>T, c.1956G>T, and c.685C>T) and hypospermatogenesis in one patient (c.94G>T), as further confirmed through immunofluorescence (IF) staining. The single-cell RNA sequencing data indicated that MCMDC2 was substantially expressed during spermatogenesis. The variants were confirmed as deleterious and responsible for patient infertility through bioinformatics and in vitro experimental analyses. The results revealed four MCMDC2 variants related to NOA, which contributes to the current perception of the function of MCMDC2 in male fertility and presents new perspectives on the genetic etiology of NOA.
Humans ; Male ; Azoospermia/genetics* ; Meiosis/genetics* ; Spermatogenesis/genetics* ; Adult ; Exome Sequencing ; Microtubule-Associated Proteins/genetics* ; Alleles ; Infertility, Male/genetics*

OBJECTIVES: To analyze the clinical characteristics of diffuse panbronchiolitis (DPB) in children and to enhance the clinical diagnosis and treatment of this disease. METHODS: A retrospective analysis was conducted on the clinical data of 6 children diagnosed with DPB who were hospitalized at The First Affiliated Hospital of Guangzhou Medical University from January 2011 to December 2019. RESULTS: Among the 6 patients, there were 2 males and 4 females; the age at diagnosis ranged from 7 to 12 years. All patients presented with cough, sputum production, and exertional dyspnea, and all had a history of sinusitis. Two cases showed positive serum cold agglutinin tests, and 5 cases exhibited pathological changes consistent with chronic bronchiolitis. High-resolution chest CT in all patients revealed centrilobular nodules diffusely distributed throughout both lungs with a tree-in-bud appearance. Five patients received low-dose azithromycin maintenance therapy, but 3 showed inadequate treatment response. After empirical anti-tuberculosis treatment, non-tuberculous Mycobacteria were found in the bronchoalveolar lavage fluid. Follow-up over 2 years showed 1 case cured, 3 cases significantly improved, and 2 cases partially improved. CONCLUSIONS The clinical presentation of DPB is non-specific and can easily lead to misdiagnosis. In cases where DPB is clinically diagnosed but does not show improvement with low-dose azithromycin treatment, special infections should be considered.
Humans ; Male ; Female ; Bronchiolitis/drug therapy* ; Retrospective Studies ; Child ; Haemophilus Infections/diagnosis*

Aim To investigate the mechanism by which sufentanil(Suf)improved hypoxia-reoxygen-ation(H/R)-induced myocardial cell injury by regula-ting hypoxia inducible factor-1α(HIF-1α)and KC-NQ1 opposite strand/antisense transcript 1(Kcnq1ot1).Methods Bioinformatics analysis was conducted to predict the interaction between HIF-1αand Kcnq1ot1.Subsequently,H9c2 cells were divided into multiple treatment groups:Ctrl group,H/R group,and Suf group.Further grouping was based on different transfection conditions,including oe-HIF-1α group,oe-HIF-1α+Suf group,sh-HIF-1α group,and sh-HIF-1α+Kcnq1ot1 group.Cell viability was detected u-sing the MTT assay,cell apoptosis was detected using the TUNEL assay,and the concentrations of CK-MB and HBDH in cell supernatants were measured using ELISA.HIF-1α protein expression in cellswas deter-mined by Western blot,and the mRNA expression level of Kcnq1ot1 was measured by reverse transcription quantitative PCR(RT-qPCR).Additionally,a rat model of myocardial is chemia reperfusion was con-structed to evaluate the therapeutic potential of Suf for myocardial ischemia reperfusion injury in vivo.Results The results of bioinformatics analysis showed a direct interaction between HIF-1α and Kcnq1ot1.Compared with the Ctrl group,the H/R group showed significantly reduced H9c2 cell viability,increased cell apoptosis,and significantly upregulated concentrations of CK-MB and HBDH,along with significantly enhanced expres-sion of HIF-1α and Kcnq1ot1(all P＜0.05).When H9c2 cells were transfected with oe-HIF-1 α,cell via-bility further decreased,apoptosis was worsened,and CK-MB and HBDH concentrations further increased(all P＜0.05);however,these adverse effects were significantly inhibited when combined with Suf inter-vention(all P＜0.05).Additionally,compared with the H/R group,the sh-HIF-1α group showed signifi-cantly improved cell viability,reduced apoptosis and decreased CK-MB and HBDH concentrations(all P＜0.05);however,these improvements were partially re-versed upon transfection with Kcnq1ot1(all P＜0.05).Animal experiments confirmed that Suf could improve myocardial ischemia-reperfusion injury in myo-cardial ischemia-reperfusion injury rats.Conclusions Suf improves myocardial H/R injury by inhibiting the HIF-1α-Kcnq1ot1.

The telomere structure in the cell nucleus is crucial for maintaining the stability and functions of chromosomes.Telomerase is a ribonucleoprotein reverse transcriptase,which catalyzes the elongation of telomeres using its own RNA as a template,thereby counteracting the shortening of telomeres caused by chromosome replication and cell division.Due to its overexpression in over 85％of malignant tumor cells,telomerase has emerged as a highly promising biomarker and a novel target for cancer therapy.In recent years,given the importance of precise quantification of telomerase activity in guiding medical diagnosis and treatment strategies,researchers have developed various high-performance telomerase detection techniques.Among these,electrochemical biosensing technique has cause much attention due to its high sensitivity,operational convenience,rapid response,and ease of miniaturization.This paper focused on the latest advances in electrochemical sensing technique for detection of telomerase activity,aiming to provide inspiration for designing novel telomerase activity detection strategies by elucidating three unique properties of telomerase primer extension products.

Pseudomonas aeruginosa(PA)is an opportunistic pathogen commonly involved in environmental-and difffcult-to-treat nosocomial infection.Currently,multidrug-resistant(MDR)and extensively drug-resistant(XDR)strains of PA are e-merging due to the inappropriate use of antibiotics,which has become a major threat related to healthcare.The antibiotics re-sistance mechanism of PA is very complicated.PA can acquire resistance through mutations in genes encoding for membrane-associated proteins,antibiotics inactivation enzymes and their regulatory proteins,antibiotics target proteins,and two-compo-nent systems.Additionally,resistance genes acquired by horizontal gene transfer(HGT)lead to resistance of PA,which are frequently localized within mobile genetic elements(MGEs),including genes encoding enzymes that inactivate and modify anti-biotics,proteins genes that protect and modify antibiotic targets.In this review,acquired resistance mechanisms of PA involved in gene mutations and HGT was summarized.This review would provide references for the prevention and treatment of PA in-fection,as well as the research and development of new antibiotics.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.