1.Regulatory effect of histone lactylation modification in hepatic fibrosis
Weichu ZENG ; Xing LYU ; Fengfan LI ; Zhenni LIU ; Jungang LI ; Weilin ZHANG ; Peiting LIU ; Bingchu LI ; Ruohong CHEN ; Zhiyang CHEN ; Min HU
Journal of Clinical Hepatology 2026;42(3):704-710
Hepatic fibrosis is a reversible pathological process in various chronic liver diseases and is closely associated with the development and progression of severe liver diseases such as liver cirrhosis and hepatocellular carcinoma, and it has emerged as a significant global health challenge. In recent years, studies have shown that histone lactylation, a newly discovered epigenetic modification, actively participates in regulating the progression of hepatic fibrosis. This article systematically reviews the core regulatory effect of histone lactylation modification in the interaction between inflammatory microenvironment and hepatic fibrosis, in order to clarify the cascade regulatory mechanism of “inflammation-hepatic fibrosis” and provide new insights for early diagnosis, targeted intervention, and prevention of malignant transformation in hepatic fibrosis.
2.Role of ferroptosis in the progression and treatment of liver fibrosis
Jungang LI ; Fengfan LI ; Zhenni LIU ; Weichu ZENG ; Weilin ZHANG ; Peiting LIU ; Bingchu LI ; Xing LYU ; Ruohong CHEN ; Zhiyang CHEN ; Min HU
Journal of Clinical Hepatology 2026;42(6):1426-1432
Liver fibrosis is a critical pathological process in the progression of chronic liver diseases and is mainly driven by the activation of hepatic stellate cells, and it is characterized by excessive deposition of extracellular matrix. Programmed cell death is widely observed in liver fibrosis and plays diverse roles in different types of cells. It is not only a mechanism for maintaining cellular homeostasis through metabolism, but it can also regulate the development and progression of diseases. Ferroptosis has recently emerged as a research focus due to its close association with lipid metabolism. This article systematically reviews the related concepts of lipid metabolism, ferroptosis, and liver fibrosis, analyzes the bridging role and dual regulatory function of ferroptosis in lipid metabolism and liver fibrosis, and further highlights the clinical application value of targeting ferroptosis in hepatic stellate cells for the treatment of liver fibrosis, in order to provide new perspectives for the mechanistic studies on liver fibrosis and the optimization of related clinical intervention strategies.
3.Comprehensive Evaluation of Acupuncture for Secondary Dysmenorrhea Based on Health Technology Assessment
Xue WU ; Zhiran LI ; Jing HU ; Xing LIAO ; Weiwei SUN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(9):165-174
ObjectiveTo carry out a health technology assessment (HTA) of acupuncture for secondary dysmenorrhea (SD) caused by adenomyosis and endometriosis, in order to provide a reference for relevant medical decision-making. MethodsFrom the perspective of the health system, the assessment covers seven areas, including the technical characteristics, safety, effectiveness, economics, ethical fairness, organizational adaptability, and impact on patients and society. The results are reported accordingly. ResultsThe operational specifications of acupuncture are standardized, and the conditions for its use are clearly defined. Acupuncture has a lower overall incidence of adverse events. The main adverse events are localized pain, subcutaneous bleeding, and dizziness, with most symptoms being mild, all of which have corresponding standard treatments. No reports on occupational or environmental safety were found, and the safety operation specifications are available for reference. Compared with conventional Western medicine, acupuncture demonstrates higher effectiveness. Acupuncture may improve the quality of life scores of patients, though no significant difference was observed. The cost of acupuncture is higher than that of conventional Western medicine, but its overall economic value is greater. The informed consent information is relatively comprehensive. Most patients are aware of the potential benefits and risks of acupuncture and voluntarily opt for it. The treatment process fully respects patient privacy and human rights. The clinical application of acupuncture follows the current acupuncture medical service model, with no special requirements for the level of medical institutions. Patient accessibility and affordability are suitable. Patient satisfaction is high. Most patients indicated they would choose acupuncture again for SD. The main barriers to choosing acupuncture are psychological factors (such as fear of acupuncture), cost, and transportation issues. Nearly 70% of patients receiving acupuncture treatment benefit from medical insurance reimbursement, with reimbursement rates generally above 50%, indicating strong social security support. ConclusionThe implementation of HTA for acupuncture in the treatment of SD, using the standards for traditional Chinese medicine (TCM), is feasible. The implementation steps are clear, the data sources for each evaluation domain are adequate, the analysis methods are practical, and the evaluation results are comprehensive. Experts recommend that the findings be used as a reference for relevant medical decision-making.
4.Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas
Yaolin SONG ; Guangqi LI ; Zhenqi ZHANG ; Yinbo LIU ; Huiqing JIA ; Chao ZHANG ; Jigang WANG ; Yanjiao HU ; Fengyun HAO ; Xianglan LIU ; Yunxia XIE ; Ding MA ; Ganghua LI ; Zaixian TAI ; Xiaoming XING
Cancer Research and Treatment 2025;57(1):250-266
Purpose:
The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs).
Materials and Methods:
Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients.
Results:
A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804.
Conclusion
USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.
5.Exploring the molecular mechanisms of moxibustion treatment for osteoporosis using microRNA sequencing analysis of model rats
Lu CUI ; Xiao LI ; Xing LI ; Xiaoli CHEN ; Xiaoshen HU ; Haiyan ZHOU ; Xiang LI
Chinese Journal of Comparative Medicine 2025;35(6):22-34
Objective To explore the molecular mechanisms of moxibustion in improving osteoporosis in rats using high-throughput micro-RNA(miRNA)sequencing analysis.Methods A total of 18 female Sprague-Dawley(SD)rats were randomly divided into an operation group(12 rats),which was subjected to ovariectomy to induce osteoporosis,and a sham operation control(SO)group(6 rats).The 12 osteoporosis model rats were randomly divided into a model(OVX)group and a moxibustion(MOX)group(6 rats per group),which were treated with once-daily moxibustion at the"Shenshu"(BL23)and"Guanyuan"(CV4)acupoints for 20 minutes each time,for 12 weeks.Micro-computed tomography(CT)scans of the rat femur were taken to analyze the trabecular bone thickness(Tb.Th),trabecular separation(Tb.Sp),and bone volume total volume(BV/TV)ratio of the trabecular bone.Hematoxylin and eosin staining was used for morphological observation of tibial tissues.Serum alkaline phosphatase(ALP)and osteocalcin(OCN)levels were measured using ELISA.Three randomly selected rats from each group were used for miRNA high-throughput sequencing to screen for differentially expressed miRNAs,which were subjected to functional enrichment analysis and target gene prediction.Results Micro-CT images showed that,compared with the OVX group,the MOX group had superior bone density,significant increases in the Tb.Th and BV/TV score,and a significant decrease in Tb.Sp(P<0.05).ELISA indicated that,compared with the OVX group,the MOX group showed a significant decrease in serum ALP activity and a significant increase in serum OCN content(P<0.05).The miRNA sequencing result showed that 34 miRNAs were commonly expressed between the OVX group and the intervention group,and 15 miRNAs were commonly expressed between the OVX group and the intervention group.KEGG pathway enrichment analysis showed that the differentially expressed genes were mainly enriched in signaling pathways involving MAPK,Ras,FoxO,TNF,and cancer-related microRNAs.For the top five most differentially expressed microRNAs,namely miR-153-5p,miR-201-5p,miR-449c-5p,miR-451-3p,and miR-153-3p,target gene predictions yielded 10 major targets:Ebf2,Rtn4,Fbxl3,Naa15,Vamp2,Daam1,Akap6,Camta1,Ptprz1,and Lamp1.Conclusions Acupuncture slowed the progression of osteoporosis,improved bone microstructure,and balanced bone metabolism in rats.This therapeutic effect may be achieved through regulation of the expression of microRNAs and their target genes;however,the underlying mechanism requires further exploration.
6.Research progress on moxibustion therapy for regulating inflammatory responses for the treatment of bone-related diseases
Xing LI ; Xiao LI ; Xiaoli CHEN ; Lu CUI ; Xiaojuan HONG ; Xiaoshen HU ; Xiang LI
Chinese Journal of Comparative Medicine 2025;35(6):104-118
The advent of an aging society means that bone-related diseases impose a substantial burden on the general population and on healthcare systems,highlighting the need to find new treatment method.The occurrence and progression of such diseases are closely linked to inflammatory responses.Moxibustion,as a traditional external treatment in traditional Chinese medicine(TCM),is well-known for its anti-inflammatory and analgesic effects,and it has also demonstrated remarkable therapeutic efficacy for bone-related diseases.Here we review the impact of moxibustion on inflammatory responses associated with bone-related conditions.The anti-inflammatory mechanism of moxibustion in treating bone-related diseases involves mediating pro-inflammatory and anti-inflammatory factors and related mediators,and regulating signaling pathways(e.g.,nuclear factor-kappa B(NF-κB),Janus kinase(JAK)/signal transducer and activator of transcription(STAT),mitogen-activated protein kinase(MAPK),programmed death receptor-1(PD-1)/programmed death ligand-1(PD-L1),adenosine monophosphate-activated protein kinase(AMPK)/UNC-51 like autophagy activating kinase(ULK1)),the hypothalamic-pituitary-adrenal axis,the activation of immune cells,and autophagy.Despite these findings however,the anti-inflammatory mechanisms underlying moxibustion treatment for bone-related diseases remain poorly understood.Further research utilizing advanced technologies is needed to gain a more comprehensive understanding of the anti-inflammatory mechanisms involved in moxibustion therapy.This approach aims to facilitate better clinical applications and contribute to safeguarding human bone health.
7.Optimization of techniques for foreign body removal in the oral and maxillofacial region based on anatomical sites and analy-sis of clinical experience
Xiaoru HOU ; Xiaotao XING ; Lifeng LI ; Jiangtao CUI ; Xiaoyi HU
STOMATOLOGY 2025;45(9):649-654
Objective To explore and summarize the locations,clinical manifestations,and treatment strategies of foreign bodies in the oral and maxillofacial region(FBOMR)among patients treated in our hospital,providing clinical insights and references for the pre-vention and management of FBOMR.Methods A retrospective analysis was conducted on the clinical data of 17 FBOMR patients hos-pitalized in our hospital from May 2022 to May 2024.The demographic information,etiology of injury,characteristics of foreign bodies,extraction methods,surgical duration,complications,and follow-up outcomes were analyzed.Differences in treatment strategies among patients with varying injury patterns were compared.Results The average age of the 17 FBOMR patients was(45.71±18.19)years old,with a male to female ratio of 1∶0.7.Etiological analysis revealed:iatrogenic causes(58.82%,10/17),occupational exposure(23.53%,4/17),and accidental injuries(17.65%,3/17).Secondary infections occurred in 64.71%(11/17)of cases during foreign body retention.All cases underwent successful surgical removal,with the following approaches:conventional surgery(64.71%,11/17),computer navigation-assisted surgery(29.41%,5/17),and endoscope-assisted surgery(5.88%,1/17).Compared to the conventional group,computer navigation-assisted surgery significantly reduced intraoperative trauma(P<0.05).Conclusion Retained FBOMR poses serious risks to patients'physical and mental health.Surgical intervention remains the gold standard for clinical manage-ment.Precise three-dimensional localization and minimally invasive techniques,such as computer-assisted navigation and endoscopy,are recommended to minimize tissue damage and improve outcomes.
8.Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas
Yaolin SONG ; Guangqi LI ; Zhenqi ZHANG ; Yinbo LIU ; Huiqing JIA ; Chao ZHANG ; Jigang WANG ; Yanjiao HU ; Fengyun HAO ; Xianglan LIU ; Yunxia XIE ; Ding MA ; Ganghua LI ; Zaixian TAI ; Xiaoming XING
Cancer Research and Treatment 2025;57(1):250-266
Purpose:
The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs).
Materials and Methods:
Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients.
Results:
A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804.
Conclusion
USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.
9.Mouth breathing and functional speech sound disorders in children: A correlational analysis
Yanna WANG ; Xuan LI ; Jun WANG ; Xing JIN ; Xinyi HU ; Tongjie YAO ; Ping WAN
Chinese Journal of Physical Medicine and Rehabilitation 2025;47(7):619-623
Objective:To explore the association between mouth breathing (MB) and functional speech sound disorders (FSSDs) in children, aiming to establish a novel theoretical basis for FSSD interventions.Methods:Eighty-nine children with an FSSD aged 4-12 years formed the FSSD group, while eighty-five age-matched healthy children served as controls. Their clinical data were processed using independent sample t-tests and chi-square tests to test for any significant differences between the two groups in terms of gender, age, mouth breathing status, post-frenotomy condition, Mandarin exposure before age 4, and delayed speech onset. Multivariate logistic regressions were evaluated to identify risk factors for FSSD in such children and to seek any association between mouth brea-thing and FSSD.Results:The regression analysis identified the following risk factors for childhood FSSD, ranked by odds ratio ( OR) magnitude: mouth breathing (adjusted OR=22.168, 95% CI=7.849-62.608, P≤0.01), delayed speech onset (adjusted OR=20.091, 95% CI=4.812-83.878, P≤0.01), age (a protective effect) (adjusted OR=0.979, 95% CI=0.962-0.997, P≤0.05). Univariate analysis of mouth breathing and associated factors revealed significant associations of FSSD with mouth breathing (χ 2=52.15, P≤0.01) and delayed speech onset (χ 2=25.873, P≤0.01). Conclusions:The significant risk factors for childhood functional speech sound disorders are mouth breathing (showing the highest adjusted OR), delayed speech onset and age. These findings suggest that early screening and therapeutic interventions for mouth breathing should be clinically prioritized to minimize FSSD risk.
10.Study on transmission characteristics and genetic variation of carbapenem-resistant Klebsiella pneumonia based on whole genome sequencing
Jiachen LI ; Yanying CHEN ; Yanlei GE ; Jinrui HU ; Xiaoli DU ; Jinyue LIU ; Huan XING ; Pengfang GAO ; Xiao HAN ; Yuelong LI ; Yating TANG ; Juan LI ; Zhigang CUI ; Jinhui ZHANG ; Haijian ZHOU ; Aiying DONG
Chinese Journal of Preventive Medicine 2025;59(6):892-900
Objective:To analyze the short-term hospital-based transmission characteristics and gene variation of Carbapenem-Resistant Klebsiella pneumoniae (CRKP) by genome-wide technique to provide evidence for transmission control. Methods:The experimental strain was derived from all the CRKP isolated in Affiliated Hospital of North China University of Science and Technology from October 2022 to December 2023. Strain identification and drug susceptibility were tested with VITEK 2-Compact automatic bacterial identification drug susceptibility analyzer or disk method, and the results were interpreted through whole genome sequencing. The ST type, carbapenem resistance gene, virulence factor, and O serotype of the collected strains were analyzed.Results:Among the 115 strains of CRKP, 94 strains were isolated from the intensive care unit (ICU), accounting for 81.7%, and 21 strains were isolated from the non-intensive care unit (NICU), accounting for 18.3%. The 115 strains of CRKP can be divided into 11 ST types, of which ST11 type was the most (54.8%, 63/115), followed by ST15 type (22.6%, 26/115) and ST5492 type (15.7%, 18/115). Type ST5492 was a new clonal group in the region. The 115 strains of CRKP could be divided into 7 O serotypes, most of which were O2a type(32.2%,37/115), followed by O5 type(30.4%,35/115) and O1 type(27.8%,32/115). The resistance genes of carbapenem antibiotics showed that there were 107 strains carrying the blaKPC-2 gene, one strain with the blaNDM-1 gene, and one strain with both the blaKPC-2 and blaNDM-13 genes. Virulence genes were detected in 55 CRKP strains (47.8%, 55/115), among which six strains detected peg-344, iucA, iroB, rmpA, and rmpA2 virulence genes (5.2%, 6/115). Four virulence genes ( peg-344, iucA, rmpA, and rmpA2) were detected in 34 strains (29.6%, 34/115). Three virulence genes ( iucA, iroB and rmpA) were detected in two strains (1.7%, 2/115). Three virulence genes ( peg-344, iucA and rmpA) were detected in one strain (0.8%, 1/115). IucA and rmpA virulence genes were detected in 12 strains (10.4%, 12/115). KPC-2_ST11_O2a, KPC-2_ST15_O1 and KPC-2_ST5492_O5 were dominant clones, and their distribution was mainly in the intensive care unit. The whole genome sequence analysis showed that there were three dominant clones, among which ST11 clones were subdivided into three dominant O serotypes, all of which were mainly in the intensive care unit. Conclusion:The popular strain in the hospital of CRKP is a KPC-2_ST11 clone group carrying iucA, rmpA/rmpA2, with cross-department transmission and mutation. ST5492 is a newly-launched clone type. The intensive care unit of hvKP carrying five virulence genes, including peg-344, should be alert to the epidemic risk of CR-hvKP outbreak.

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