1.Research Progress on Prevention and Treatment of Alcoholic Liver Disease Based on Organ Crosstalk Theory
Limin DONG ; Ping WANG ; Yi WANG ; Xiaodong YAO ; Zhiping DING ; Ru ZHANG
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(6):1522-1529
Alcoholic liver disease(ALD)is a liver disease caused by long-term heavy drinking and one of the most common causes of liver-related morbidity and mortality.According to Chinese medicine,the development of ALD is mainly related to alcoholism,and the evolution of its pathology is a gradually aggravating process.Wine-heat injures the liver,without obvious organic lesions at the initial stage,and as the disease progresses to different stages,internal dampness appears,dampness depresses and transforms into heat,and Qi stagnation and blood stasis are gradually aggravated,which affects the functions of various internal organs,directly or indirectly,and creates a complex mechanism of crosstalk between the liver and other organs,which leads to the pathological condition of This leads to the pathological state of multi-organ dysfunction.Modern research has found that long-term alcohol abuse not only causes direct damage to the liver,but also leads to progression to end-stage liver disease by altering the intestinal barrier function and intestinal microbial community,and producing kidney damage and cardiac function.This article reviewed recent studies on the interactions between the liver and other organs in light of the Chinese and Western pathogenesis of alcoholic liver disease and the theory of organ crosstalk,and introduces potential strategies for the treatment of alcoholic liver disease,which will provide a reference for the discovery of new therapeutic avenues.
2.Comprehensive Analysis of Oncogenic, Prognostic, and Immunological Roles of FANCD2 in Hepatocellular Carcinoma: A Potential Predictor for Survival and Immunotherapy.
Meng Jiao XU ; Wen DENG ; Ting Ting JIANG ; Shi Yu WANG ; Ru Yu LIU ; Min CHANG ; Shu Ling WU ; Ge SHEN ; Xiao Xue CHEN ; Yuan Jiao GAO ; Hongxiao HAO ; Lei Ping HU ; Lu ZHANG ; Yao LU ; Wei YI ; Yao XIE ; Ming Hui LI
Biomedical and Environmental Sciences 2025;38(3):313-327
OBJECTIVE:
Hepatocellular carcinoma (HCC) is sensitive to ferroptosis, a new form of programmed cell death that occurs in most tumor types. However, the mechanism through which ferroptosis modulates HCC remains unclear. This study aimed to investigate the oncogenic role and prognostic value of FANCD2 and provide novel insights into the prognostic assessment and prediction of immunotherapy.
METHODS:
Using clinicopathological parameters and bioinformatic techniques, we comprehensively examined the expression of FANCD2 macroscopically and microcosmically. We conducted univariate and multivariate Cox regression analyses to identify the prognostic value of FANCD2 in HCC and elucidated the detailed molecular mechanisms underlying the involvement of FANCD2 in oncogenesis by promoting iron-related death.
RESULTS:
FANCD2 was significantly upregulated in digestive system cancers with abundant immune infiltration. As an independent risk factor for HCC, a high FANCD2 expression level was associated with poor clinical outcomes and response to immune checkpoint blockade. Gene set enrichment analysis revealed that FANCD2 was mainly involved in the cell cycle and CYP450 metabolism.
CONCLUSION
To the best of our knowledge, this is the first study to comprehensively elucidate the oncogenic role of FANCD2. FANCD2 has a tumor-promoting aspect in the digestive system and acts as an independent risk factor in HCC; hence, it has recognized value for predicting tumor aggressiveness and prognosis and may be a potential biomarker for poor responsiveness to immunotherapy.
Humans
;
Carcinoma, Hepatocellular/diagnosis*
;
Liver Neoplasms/diagnosis*
;
Immunotherapy
;
Fanconi Anemia Complementation Group D2 Protein/metabolism*
;
Prognosis
;
Male
;
Female
;
Middle Aged
;
Biomarkers, Tumor/metabolism*
3.Prediction of Linezolid-induced Thrombocytopenia Based on Machine Learning Algorithm
Ru LIAO ; Yi CUI ; Xiaoliang CHENG ; Feng WANG ; Houli LI ; Haiyan DONG
Herald of Medicine 2025;44(4):676-681
Objective To construct machine learning models to predict the incidence of linezolid-induced thrombocytopenia(LIT).Methods A total of 198 patients treated with linezolid in a hospital between January 2020 and March 2024 were retrospectively included.Firstly,the patients were divided into LIT and non-LIT groups,and the basic characteristics of the two groups were compared.Then,the variables with significant differences between the two groups were selected as potential risk factors to construct models for predicting LIT,including Logistic regression,decision tree and random forest models,and the prediction performance of the models was evaluated and compared.Results There were 52(26.3%)patients developed LIT during the treatment.The univariate analysis showed significant differences in linezolid trough concentration(Cmin),baseline platelet counts and creatinine clearance,the incidence of cerebrovascular disease,acute respiratory distress syndrome,and abdominal infection in patients with and without LIT.Among the three models built based on these variables,the random forest model has the best predictive performance.The results of variable importance analysis based on random forest model showed that Cmin,baseline platelet count and combined with acute respiratory distress syndrome had higher importance scores.Conclusions The random forest model has high accuracy in predicting the occurrence of LIT,and the risk of LIT is higher in patients with higher levels of linezolid exposure and lower baseline platelets.
4.A Rubric System for Evaluating the TCA-based Ideological and Political Teaching Model:Its Construction and Application
Ying WANG ; Ling-Hui LV ; Ren-Ji WEI ; Xiang ZHANG ; Yi RU ; Bo YAN ; Lan SHEN ; Mao SUN ; Liang LIANG ; Jing ZHAO
Chinese Journal of Biochemistry and Molecular Biology 2025;41(1):53-67
The success of"New Medical Sciences"in higher education requires effective tools in evalua-ting students'performance in courses.Previously,we reported a teamwork(T),critique(C)and ap-preciation(A)(TCA)ideological and political model,a teaching model widely applied in Basic Medical courses.TCA is an abbreviation derived from Tricarboxylic Acid Cycle in Biochemistry as an analogy for nurturing the abilities of thinking and teamwork(T),critique(C)and appreciation(A),which hope-fully could provide students with moral norms for cognition,science and life.This paper further explores the tools to assess the educational outcomes of the TCA model,by which teachers can collect feedback and reflect on teaching quality and effectiveness.Addressing the challenges of individual differences in large classes,fragmented learning feedback,and the difficulty of measuring meta-cognition in educational evaluation,this study employs strategies of value-added assessment,matrix assessment and norm-transfer-able assessment to evaluate the TCA abilities from the aspects of thinking quality,thinking creativity,co-operation ability,iterative thinking,dialectical thinking and job responsibility.By modifying/using 18 e-valuation tools in Education and Psychology,we have established a rubric system composed of 30 primary indicators(with 11 newly designed,10 partly modified and 9 directly adopted),along with 49 secondary indicators and 98 tertiary indicators to enhance the feasibility of the evaluation process.This rubric sys-tem was applied to Biochemistry teaching among the five-year-program undergraduates at Air Force Medi-cal University.Specifically,thinking and teamwork are evaluated by creative works from"the magic bio-chemical-circle",while critiques are assessed in large classes under the guidance of basic and clinical teachers,coupled with appreciation measured by job responsibility in a task-driven virtual reality(VR)project.The results indicate that Biochemistry teaching not only accumulates knowledge in students,but also achieves the goals in nurturing values and cognition.The inclusion of creative performance evalua-tion,cooperative learning and clinical case studies,can enhance students'interpersonal skills,coopera-tion,quality of thinking,creative thinking,iterative thinking and dialectical thinking to varying degrees.TCA-based Biochemistry teaching has a long-lasting impact on character education,and is capable of in-ducing positive long-term changes in students'cognition and lifestyle.Taken together,with the help of this rubric system,teachers can promptly acknowledge the effectiveness of their teaching,thereby facilita-ting their teaching strategies.
5.Effects of supernatant of BV-2 cells induced by LPS on inflammatory response and apoptosis in HT22 neurons
Li-ya WU ; Xin-ru WANG ; Yu-jie WU ; Wei-yi ZHANG ; Nan LI ; Yong-hui WANG ; Li GAO ; Le ZHAO
Chinese Pharmacological Bulletin 2025;41(7):1324-1331
Aim To observe the effect of lipopolysac-charide(LPS)induced supernatant of BV-2 cells on the inflammatory response and apoptosis of HT22 neu-rons.Methods After the concentration and time of LPS were determined by CCK-8 method,BV-2 cells were cultured with medium without LPS and medium containing LPS,the morphological changes of BV-2 microglia were observed by inverted microscope,and the CD86/CD206 ratio of BV-2 microglia was detected by immunofluorescence.Subsequently,BV-2 cell cul-ture supernatants were isolated and added to HT22 neuronal culture to observe the effect on the inflamma-tory response of HT22 neurons.The proliferation of HT22 neurons was detected by CCK-8 method and EdU method.The structural changes of HT22 neurons were observed under the microscope and examined by urani-um-lead staining.The levels of cytokines interleukin-1β(IL-1β),interleukin-10(IL-10),nuclear factor kappa-B(NF-κB)and tumor necrosis factor-α(TNF-α)were detected by enzyme-linked immunosorbent as-say(Elisa).Neuronal apoptosis was detected by the TUNEL method.The protein expressions of Bax,Bcl-2 and inflammatory factors were detected by Western blot.Results After induction with 1 mg·L-1 LPS,BV-2 cells exhibited increased cell body size,thicker protrusions on both side,and some cells showed de-formed protrusions,the CD86/CD206 ratio in BV-2 cells decreased,promoting the transformation of BV-2 cells from M2 type to M1 type.After treating with the culture supernatant of BV-2 cells,HT22 neuronal cell activity and proliferation were reduced,axons short-ened,and the number of cells decreased.Neuronal cell bodies were enlarged and some cells were de-formed,with damaged cell membranes,round cell nu-clei but displaced nucleoli from the normal position,swollen mitochondria with vacuoles,reduced internal ridge structures,and increased levels of inflammatory factors NF-κB,IL-1 β,and TNF-α(P<0.05 or P<0.01),while the anti-inflammatory factor IL-10 de-creased(P<0.05),protein expression of the pro-apoptotic indicator Bax increased(P<0.01),and the protein expression of the anti-apoptotic indicator Bcl-2 decreased(P<0.05).Conclusion After induction of BV-2 cell polarization by LPS,the supernatant could inhibit HT22 neuronal cell viability,upregulate inflam-matory factor expression and promote apoptosis.
6.Domestic and international experience and implications on development and utilization of health data
Ru WANG ; Jun FENG ; Lu-yi JIANG
Chinese Journal of Health Policy 2025;18(10):66-74
Data has become the fifth major factor of production in China.To accelerate the development and utilization of public data resources,China has established a"1+3"policy system framework.However,there remains considerable room for exploration in aspects such as data authorization pricing and authorization models.In particular,health data possesses both personal privacy and public data attributes,requiring multi-factor trade-offs between security protection and development benefits.The United Kingdom,the United States,and China's Hong Kong Special Administrative Region have accumulated certain prior experiences in the development and utilization of health data.This article systematically studied and sorted out the institutional design of the construction,organizational structure,and operation mechanism of health data open platforms in these three countries/regions.Combining with China's domestic realities,specific suggestions were put forward regarding the construction of health data platforms,data resource registration,ethical review and security management,as well as pricing mode,aiming to provide a reference basis for the formulation of relevant policies and systems.
7.Research Progress on Prevention and Treatment of Alcoholic Liver Disease Based on Organ Crosstalk Theory
Limin DONG ; Ping WANG ; Yi WANG ; Xiaodong YAO ; Zhiping DING ; Ru ZHANG
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(6):1522-1529
Alcoholic liver disease(ALD)is a liver disease caused by long-term heavy drinking and one of the most common causes of liver-related morbidity and mortality.According to Chinese medicine,the development of ALD is mainly related to alcoholism,and the evolution of its pathology is a gradually aggravating process.Wine-heat injures the liver,without obvious organic lesions at the initial stage,and as the disease progresses to different stages,internal dampness appears,dampness depresses and transforms into heat,and Qi stagnation and blood stasis are gradually aggravated,which affects the functions of various internal organs,directly or indirectly,and creates a complex mechanism of crosstalk between the liver and other organs,which leads to the pathological condition of This leads to the pathological state of multi-organ dysfunction.Modern research has found that long-term alcohol abuse not only causes direct damage to the liver,but also leads to progression to end-stage liver disease by altering the intestinal barrier function and intestinal microbial community,and producing kidney damage and cardiac function.This article reviewed recent studies on the interactions between the liver and other organs in light of the Chinese and Western pathogenesis of alcoholic liver disease and the theory of organ crosstalk,and introduces potential strategies for the treatment of alcoholic liver disease,which will provide a reference for the discovery of new therapeutic avenues.
8.E3 ubiquitin ligase FBXW11-mediated downregulation of S100A11 promotes sensitivity to PARP inhibitor in ovarian cancer
Ligang CHEN ; Mingyi WANG ; Yunge GAO ; Yanhong LV ; Lianghao ZHAI ; Jian DONG ; Yan CHEN ; Xia LI ; Xin GUO ; Biliang CHEN ; Yi RU ; Xiaohui LV
Journal of Pharmaceutical Analysis 2025;15(7):1652-1666
Resistance to poly adenosine diphosphate(ADP)-ribose polymerase inhibitor(PARPi)presents a considerable obstacle in the treatment of ovarian cancer.F-box and tryptophan-aspartic(WD)repeat domain containing 11(FBXW11)modulates the ubiquitination of growth-and invasion-related factors in lung cancer,colorectal cancer,and osteosarcoma.The function of FBXW11 in PARPi therapy is still ambiguous.In this study,RNA sequencing(RNA-seq)showed that FBXW11 expression was raised in ovarian cancer cells that had been treated with PARPi.FBXW11 was abnormally expressed at low levels in high-grade serous ovarian cancer(HGSOC)tissues,and low levels of FBXW11 were associated with shorter overall survival(OS)and progression-free survival(PFS)in HGSOC patients.Overexpressing FBXW11 made ovarian cancer more sensitive to PARPi,while knocking down FBXW11 made it less sensitive.The four-dimensional(4D)label-free quantitative proteomic analysis revealed that FBXW11 targeted S100 calcium binding protein A11(S100A11)and promoted its degradation through ubiquiti-nation.The increased degradation of S100A11 led to less efficient DNA damage repair,which in turn contributed to increased PARPi-induced DNA damage.The role of FBXW11 in promoting PARPi sensitivity was also confirmed in xenograft mouse models.In summary,our study confirms that FBXW11 promotes the susceptibility of ovarian cancer cells to PARPi via affecting S10OA11-mediated DNA damage repair.
9.Three-dimensional digital measurement of proximal femoral bone microstructure in 60-80 years old patients based on Micro-CT
Hui-Ru CHEN ; Tao LÜ ; Chao ZUO ; Yan-Yan BAO ; Yi-Han HU ; Jian-Zhong WANG ; Feng JIN ; Yun-Feng ZHANG ; Hai-Yan WANG ; Xiao-He LI
Acta Anatomica Sinica 2025;56(1):88-94
Objective To observe the difference of bone micro-structure in different regions of proximal femur,micro-CT scanning was performed on 30 proximal femur specimens to explain the mechanism of proximal femur fracture and to provide anatomical basis for prosthesis design.Methods Totally 30 intact proximal femur specimens were obtained from 60-80 year-old cadavers.Micro-CT scanning was used to measure the trabecular thickness(Tb.Th),trabecular number(Tb.N),trabecular space(Tb.Sp),connectivity(Conn)and bone mineral density(BMD)and other parameters in 7 regions of proximal femur,including proximal pressure trabecular(PPT),distal pressure trabecular(DPT),femoral head-neck junction(FHNJ),head and neck of femoral neck(HNFN),the base of femoral neck(BPFN),intertrochanteric line(IL)and greater trochanter(GT).Results The bone mineral density of IL and GT were higher than those of BPFN,FHNJ,DPT and PPT.The trabecular thickness of GT was the largest,followed by IL,BPFN and HNFN,and the smallest was FHNJ,DPT and PPT.The trabecular space of IL was larger than that of GT,and the data of both were larger than those of other parts,among which DPT and PPT were the smallest.The trabecular number of IL and GT were the smallest,BPFN,HNFN and FHNJ were larger,and DPT was the largest.The volume fraction of IL was the smallest,BPFN and HNFN were larger,DPT and PPT were the largest.Conclusion The bone density,trabecular thickness,bone volume,and total volume of GT and IL in the proximal femur of elderly patients are all relatively large,so the reason for the high incidence of fractures is not due to weak internal bone microstructure;The bone density,trabecular thickness,and trabecular gap at the proximal and distal ends of the vertical trabecular bone are relatively small.If it is necessary to perform core decompression for prosthesis filling at this location,the design should be conducive to the mechanical conduction of the prosthesis and the regeneration of surrounding bone tissue.
10.Effects of Different Modes in Hypoxic Training on Metabolic Improvements in Obese Individuals: a Systematic Review With Meta-analysis on Randomized Controlled Trail
Jie-Ping WANG ; Xiao-Shi LI ; Ru-Wen WANG ; Yi-Yin ZHANG ; Feng-Zhi YU ; Ru WANG
Progress in Biochemistry and Biophysics 2025;52(6):1587-1604
This paper aimed to systematically evaluate the effects of hypoxic training at different fraction of inspired oxygen (FiO2) on body composition, glucose metabolism, and lipid metabolism in obese individuals, and to determine the optimal oxygen concentration range to provide scientific evidence for personalized and precise hypoxic exercise prescriptions. A systematic search was conducted in the Cochrane Library, PubMed, Web of Science, Embase, and CNKI databases for randomized controlled trials and pre-post intervention studies published up to March 31, 2025, involving hypoxic training interventions in obese populations. Meta-analysis was performed using RevMan 5.4 software to assess the effects of different fraction of inspired oxygen (FiO2≤14% vs. FiO2>14%) on BMI, body fat percentage, waist circumference, fasting blood glucose, insulin, HOMA-IR, triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C), with subgroup analyses based on oxygen concentration. A total of 22 studies involving 292 participants were included. Meta-analysis showed that hypoxic training significantly reduced BMI (mean difference (MD)=-2.29,95%CI: -3.42 to -1.17, P<0.000 1), body fat percentage (MD=-2.32, 95%CI: -3.16 to -1.47, P<0.001), waist circumference (MD=-3.79, 95%CI: -6.73 to -0.85, P=0.01), fasting blood glucose (MD=-3.58, 95%CI: -6.23 to -0.93, P=0.008), insulin (MD=-1.60, 95%CI: -2.98 to -0.22, P=0.02), TG (MD=-0.18, 95%CI: -0.25 to -0.12, P<0.001), and LDL-C (MD=-0.25, 95%CI: -0.39 to -0.11, P=0.000 3). Greater improvements were observed under moderate hypoxic conditions with FiO2>14%. Changes in HOMA-IR (MD=-0.74, 95%CI: -1.52 to 0.04,P=0.06) and HDL-C (MD=-0.09, 95%CI: -0.21 to 0.02, P=0.11) were not statistically significant. Hypoxic training can significantly improve body composition, glucose metabolism, and lipid metabolism indicators in obese individuals, with greater benefits observed under moderate hypoxia (FiO>14%). As a key parameter in hypoxic exercise interventions, the precise setting of oxygen concentration is crucial for optimizing intervention outcomes.

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