1.Standards for the Application of Hemodynamic Monitoring Technology in Critical Care
Hua ZHAO ; Hongmin ZHANG ; Xin DING ; Huan CHEN ; Jun DUAN ; Wei DU ; Bo TANG ; Yuankai ZHOU ; Dongkai LI ; Xinchen WANG ; Cui WANG ; Gaosheng ZHOU ; Xiaoting WANG
Medical Journal of Peking Union Medical College Hospital 2026;17(1):73-85
With the rapid advancement of hemodynamic indices and monitoring technologies, their classification methods and application processes have become increasingly complex. Currently, no unified standard hasbeen established, making it difficult to fully meet the clinical requirements for hemodynamic management. To assist in hemodynamic monitoring assessment and therapeutic decision-making in critically ill patients, the Critical Hemodynamic Therapy Collaborative Group, in conjunction with the Critical Ultrasound Study Group, has jointly developed the Standard for the Application of Hemodynamic Monitoring Techniques in Critical Care. The first part of this standard systematically categorizes hemodynamic indicators into flow indicators, pressure and its derivative indicators, and tissue perfusion indicators, while elaborating on the clinical application of each. The second part establishes a standardized clinical implementation pathway for hemodynamic monitoring. It proposes a tiered monitoring strategy-comprising basic, advanced, indication-specific, and special scenario monitoring-tailored to different clinical settings. It emphasizes the central role of critical care ultrasound across all levels of monitoring and establishes hemodynamic assessment standards for organs such as the brain, kidneys, and gastrointestinal tract. This standard aims to provide a unified framework for clinical practice, teaching, training, and research in critical care medicine, thereby promoting standardized development within the discipline.
2.Role and research progress of TGF-β and its signaling pathway in scleral remodeling
Wanyue DING ; Wen ZENG ; Liang TANG ; Jingwen FU ; Xin LI ; Chunli SU
International Eye Science 2026;26(9):1556-1560
The self-remodeling of scleral extracellular matrix(ECM)is a significant characteristic alterationin the development of myopia, and it also influences the progression of myopia. The mechanisms of scleral remodeling are intricate, with transforming growth factor-β(TGF-β)and its associated signaling pathways playing a pivotal role. This review systematically summarizes the major metabolic changes in scleral ECM, the molecular mechanisms of the TGF-β signaling pathway, and its regulatory effects on scleral remodeling during myopic development, aiming to provide new insights and potential strategies for the treatment and prevention of myopia.
3.Application of combined NGS and TGS technologies in red blood cell blood group bank construction: a preliminary study
Mengyuan DING ; Xin GAO ; Yihan WANG ; Shaobo LI ; Longhai TANG ; Nina JIANG
Chinese Journal of Blood Transfusion 2026;39(8):1110-1116
Objective: This study employed next-generation sequencing (NGS) for large-scale genotyping of 42 blood group systems in blood donors to evaluate its applicability in multi-system blood group identification and rare blood type repository construction, while exploring the complementary value of third-generation sequencing (TGS) in haplotype phasing and variant capture in regions with insufficient sequencing depth for ABO ambiguous samples. Methods: A total of 562 regular blood donors (median donation frequency 11 times) from a blood center were enrolled. NGS was used for genotyping of 42 blood group systems, with a focused analysis on 12 systems essential for rare blood type repository construction: MNS, Lutheran, Kell, Duffy, Kidd, Diego, Yt, Colton, Gerbich, Ok, H, and I. TGS was employed to resolve haplotype phasing (i. e., determining whether different mutation sites are located on the same chromosome) in 12 ABO samples with discrepancies between forward and reverse typing. Serological and genotyping results were compared for MNS, Duffy, Kidd, Lewis, and ABO systems. Results: NGS-based genotyping revealed that Fy (a-b+) in the Duffy system accounted for 0.87% (4/458), and Di (a+b+) in the Diego system accounted for 10.62% (31/292). The Lutheran, Kell, Yt, Colton, H, Ok, I, and Gerbich systems exhibited near-uniform phenotype distributions. Among the 12 ABO ambiguous samples, NGS yielded multiple possible genotype combinations in 5 cases due to inability to phase alleles, whereas TGS uniquely resolved the genotypes through long-read sequencing. In one case, NGS detected only 2 mutation sites due to insufficient sequencing depth, while TGS identified all 11 sites and assigned the A1 phenotype. Concordance rates between serology and genotyping were: Duffy 96.55% (140/145), ABO 96.43% (513/532), Kidd 94.17% (97/103), MNS 85.07% (57/67), and Lewis 68.18% (75/110). In the MNS system, 7 of 8 samples serologically typed as M+N+ but genotyped as M-N+ carried GYPB variants. Lewis discrepancies predominantly featured genotype Le (a-b+) with serological phenotypes of Le (a+b-), Le (a+b+), or Le (a-b-). The NGS platform completed sequencing of 192 samples within 2 weeks. Conclusion: The tiered genotyping strategy combining NGS, TGS, and serology enables multi-system blood group identification in large-scale blood donor populations. TGS provides complementary value in phasing ambiguous ABO samples and detecting variants in regions with insufficient sequencing depth. This study provides a technical framework and baseline frequency data for the expansion of a local rare blood type repository. However, standardization and cost-effectiveness of this strategy require further validation with expanded sample sizes, and serological confirmation should be retained for secretion status-related systems such as Lewis.
4.Mechanism of Paeoniflorin Regulating TLR4/NF-κB-IRS1 Inflammation-insulin Signaling Axis to Improve Metabolic Dysfunction Associated Fatty Liver Disease Combined with Insulin Resistance
Luyu LI ; Yiming FAN ; Wenlong YU ; Yiteng ZHANG ; Yaorui HU ; Huanxin DING ; Chuxuan LIU ; Xin JIN ; Hongyu ZHANG ; Qian XU ; Guangyong ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(21):146-156
ObjectiveTo investigate the therapeutic effect of paeoniflorin on metabolic dysfunction-associated fatty liver disease (MASLD) combined with insulin resistance (IR), and to elucidate its regulatory mechanisms on the Toll-like receptor 4 (TLR4)/nuclear transcription factor (NF)-κB-insulin receptor substrate 1 (IRS1) inflammation-insulin signaling axis. MethodsMASLD mouse model was established using a 60% high-fat diet. Mice were randomly assigned to a normal control group, a MASLD model group, and paeoniflorin groups (low dose: 25 mg·kg-1·d-1, medium dose: 50 mg·kg-1·d-1, high dose: 100 mg·kg-1·d-1), receiving intragastric administration for consecutive 12 weeks. Concurrently, a palmitic acid/oleic acid (PA/OA)-induced lipid deposition model was established in HepG2 cells. Cell counting kit-8 (CCK-8) assay was performed to determine the optimal concentrations of PA/OA and paeoniflorin for intervention. Mice body weight, liver index, and serum levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), triglycerides (TG), and total cholesterol (TC) were measured. Fasting blood glucose (FBG) and fasting insulin (FINS) levels were measured, and the homeostatic model assessment of insulin resistance (HOMA-IR) was calculated, while an oral glucose tolerance test (OGTT) was performed to evaluate glucose metabolism. Hematoxylin and eosin (HE) staining was used to observe pathological changes and inflammatory cell infiltration in liver tissue, and oil red O staining was used to evaluate lipid droplet deposition in liver tissue and HepG2 cells. Potential targets were screened using network pharmacology and molecular docking. Western blot analysis was performed to detect the expression of HSP90AA1, TLR4, p-NF-κB p65, p-IRS1, and p-Akt proteins in liver tissue and HepG2 cells. ResultsCompared with the normal control group, mice in the MASLD model group exhibited significantly increased body weight, liver index, and serum levels of ALT, AST, TG, and TC, as well as markedly elevated FBG, FINS, and HOMA-IR, and impaired glucose tolerance (P<0.01). HE staining revealed marked hepatic steatosis and inflammatory cell infiltration, while oil red O staining showed a significant increase in lipid droplet deposition. Compared with the MASLD model group, after intervention with various doses of paeoniflorin, the increase in body weight and liver index was reduced, serum ALT, AST, TG, and TC levels decreased, and FBG, FINS, and HOMA-IR were significantly lowered, with glucose tolerance markedly improved (P<0.05, P<0.01), showing a certain dose-dependent trend. HE and oil red O staining results showed a marked reduction in hepatic steatosis and lipid deposition. In vitro experiments demonstrated that, compared with the control group, PA/OA treatment significantly induced increased lipid deposition in HepG2 cells. Compared with the model group, paeoniflorin intervention significantly reduced intracellular lipid droplets, and lipid deposition showed a dose-dependent decreasing trend. Mechanism studies indicated that, compared with the normal control group, the MASLD model group exhibited significantly elevated expression of TLR4, HSP90AA1, and p-NF-κB p65, while p-IRS1 (Ser307) expression was elevated and p-Akt (Ser473) expression was reduced (P<0.01). Compared with the model group, the expression of the aforementioned proteins was significantly reversed in all treatment groups following intervention (P<0.05, P<0.01). ConclusionPaeoniflorin significantly alleviates lipid deposition and insulin resistance in MASLD mice. Its mechanism of action may involve targeting HSP90AA1, TLR4, and NF-κB1 to regulate the TLR4/NF-κB-IRS1 inflammation-insulin signaling axis. This regulation suppresses inflammatory responses and restores insulin signaling, thereby ameliorating abnormalities in glucose and lipid metabolism.
5.Mechanism of Paeoniflorin Regulating TLR4/NF-κB-IRS1 Inflammation-insulin Signaling Axis to Improve Metabolic Dysfunction Associated Fatty Liver Disease Combined with Insulin Resistance
Luyu LI ; Yiming FAN ; Wenlong YU ; Yiteng ZHANG ; Yaorui HU ; Huanxin DING ; Chuxuan LIU ; Xin JIN ; Hongyu ZHANG ; Qian XU ; Guangyong ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(21):146-156
ObjectiveTo investigate the therapeutic effect of paeoniflorin on metabolic dysfunction-associated fatty liver disease (MASLD) combined with insulin resistance (IR), and to elucidate its regulatory mechanisms on the Toll-like receptor 4 (TLR4)/nuclear transcription factor (NF)-κB-insulin receptor substrate 1 (IRS1) inflammation-insulin signaling axis. MethodsMASLD mouse model was established using a 60% high-fat diet. Mice were randomly assigned to a normal control group, a MASLD model group, and paeoniflorin groups (low dose: 25 mg·kg-1·d-1, medium dose: 50 mg·kg-1·d-1, high dose: 100 mg·kg-1·d-1), receiving intragastric administration for consecutive 12 weeks. Concurrently, a palmitic acid/oleic acid (PA/OA)-induced lipid deposition model was established in HepG2 cells. Cell counting kit-8 (CCK-8) assay was performed to determine the optimal concentrations of PA/OA and paeoniflorin for intervention. Mice body weight, liver index, and serum levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), triglycerides (TG), and total cholesterol (TC) were measured. Fasting blood glucose (FBG) and fasting insulin (FINS) levels were measured, and the homeostatic model assessment of insulin resistance (HOMA-IR) was calculated, while an oral glucose tolerance test (OGTT) was performed to evaluate glucose metabolism. Hematoxylin and eosin (HE) staining was used to observe pathological changes and inflammatory cell infiltration in liver tissue, and oil red O staining was used to evaluate lipid droplet deposition in liver tissue and HepG2 cells. Potential targets were screened using network pharmacology and molecular docking. Western blot analysis was performed to detect the expression of HSP90AA1, TLR4, p-NF-κB p65, p-IRS1, and p-Akt proteins in liver tissue and HepG2 cells. ResultsCompared with the normal control group, mice in the MASLD model group exhibited significantly increased body weight, liver index, and serum levels of ALT, AST, TG, and TC, as well as markedly elevated FBG, FINS, and HOMA-IR, and impaired glucose tolerance (P<0.01). HE staining revealed marked hepatic steatosis and inflammatory cell infiltration, while oil red O staining showed a significant increase in lipid droplet deposition. Compared with the MASLD model group, after intervention with various doses of paeoniflorin, the increase in body weight and liver index was reduced, serum ALT, AST, TG, and TC levels decreased, and FBG, FINS, and HOMA-IR were significantly lowered, with glucose tolerance markedly improved (P<0.05, P<0.01), showing a certain dose-dependent trend. HE and oil red O staining results showed a marked reduction in hepatic steatosis and lipid deposition. In vitro experiments demonstrated that, compared with the control group, PA/OA treatment significantly induced increased lipid deposition in HepG2 cells. Compared with the model group, paeoniflorin intervention significantly reduced intracellular lipid droplets, and lipid deposition showed a dose-dependent decreasing trend. Mechanism studies indicated that, compared with the normal control group, the MASLD model group exhibited significantly elevated expression of TLR4, HSP90AA1, and p-NF-κB p65, while p-IRS1 (Ser307) expression was elevated and p-Akt (Ser473) expression was reduced (P<0.01). Compared with the model group, the expression of the aforementioned proteins was significantly reversed in all treatment groups following intervention (P<0.05, P<0.01). ConclusionPaeoniflorin significantly alleviates lipid deposition and insulin resistance in MASLD mice. Its mechanism of action may involve targeting HSP90AA1, TLR4, and NF-κB1 to regulate the TLR4/NF-κB-IRS1 inflammation-insulin signaling axis. This regulation suppresses inflammatory responses and restores insulin signaling, thereby ameliorating abnormalities in glucose and lipid metabolism.
6.Study on the application value of serological markers in the screening of malignant tumor bone metastasis
Fei DING ; Xinyi WANG ; Yong HE ; Xin NIE ; Guixing LI
International Journal of Laboratory Medicine 2025;46(3):308-313
Objective To explore the application value of serological markers in the screening of malignant tumor bone metastasis.Methods A total of 113 patients with malignant tumor bone metastasis first diag-nosed in a hospital from June 2023 to February 2024 were selected as case group.Another 80 patients with malignant tumor without bone metastasis diagnosed in the same period were selected as the control group.The levels of serological markers[serum calcium(Ca),parathyroid hormone(PTH),Ca/PTH,procollagen type 1 amino-terminal propeptide(P1NP),beta-C-terminal telopeptide of type 1 collagen(β-CTX)and N-terminal mid-fragment of osteocalcin]were compared between the two groups.Receiver operating characteristic(ROC)curves were plotted to analyze the value of serological markers in screening for bone metastases of lung canc-er,prostate cancer and breast cancer.Multivariate Logistic regression was used to analyze the related factors of malignant tumor bone metastasis.Results The levels of Ca,Ca/PTH,β-CTX and P1NP in case group were significantly higher than those in control group,while PTH in case group was lower than that in control group,with statistical significance(P<0.05).ROC curve results showed that Ca,PTH,Ca/PTH,P1NP and β-CTX had high efficacy in screening malignant tumor bone metastases,and the area under the curve(AUC)was 0.718,0.699,0.712,0.648 and 0.593,respectively.Multivariate Logistic regression analysis showed that Ca/PTH and P1NP were the influencing factors of bone metastasis in malignant tumor(OR=5.036,1.013,P<0.05).The AUC of Ca,PTH and Ca/PTH screening for bone metastasis of lung cancer were 0.781,0.652 and 0.669,respectively.The AUC of β-CTX and P1NP screening for bone metastasis of prostate cancer were 0.800 and 0.815 respectively.The AUC of Ca and P1NP screening for breast cancer with bone metastasis was 0.751 and 0.794,respectively.Conclusion Serological markers(Ca,PTH,Ca/PTH,P1NP and β-CTX)are valuable in screening for malignant tumor bone metastasis.
7.Overview and prospects of diagnostic methods for bone metastasis of breast cancer,prostate cancer and lung cancer
Fei DING ; Yong HE ; Xin NIE ; Guixing LI
International Journal of Laboratory Medicine 2025;46(3):354-359
Bone metastasis is a serious complication in the course of malignant tumors and has a poor prog-nosis.The incidence of breast cancer,prostate cancer and lung cancer is the highest.A highly sensitive and highly specific test method for the early diagnosis of malignant bone metastases of these tumors,which is es-sential for reducing the incidence of bone-related events and improving the prognosis of patients with malig-nant tumors,is urgently needed.At present,the diagnosis of bone metastasis in patients with malignant tumors mainly relies on imaging.However,due to limitations in the development of imaging technology,its clinical use is still limited by sensitivity,cost-effectiveness,availability,and others.Close clinical follow-up and monitoring of patients diagnosed with malignant tumors are essential for effective patient management.Based on the current literature,this review aims to summarize the early diagnosis and detection methods for bone metastases in breast cancer,prostate cancer and lung cancer,including imaging techniques,pathology,bio-chemistry and molecular methods,and to review the development trends of future diagnostic techniques.
8.PERK-mediated inhibition of endoplasmic reticulum stress in lipopolysaccharide-induced inflammatory responses in microglia
Jia-Xin DING ; Meng-Jun LÜ ; Lin-Xia LU ; Ci-Li JIFU ; Jun XIA ; Jing-Tao WANG
Acta Anatomica Sinica 2025;56(4):421-430
Objective To explore the role of the protein kinase R-like endoplasmic reticulum kinase(PERK)-mediated endoplasmic reticulum stress pathway in a model of lipopolysaccharide(LPS)-induced microglia inflammation.Methods To investigate its effects on endoplasmic reticulum(ER)stress,an inflammation model of microglia was established by stimulating with LPS at gradient concentrations for 24 hours and with 1 mg/L LPS for different durations.Cell viability was assessed by the CCK-8 assay;The mRNA and protein expression levels of related inflammatory factors were measured by Real-time PCR and ELISA kits.Cellular oxidative stress was evaluated by detecting reactive oxygen species(ROS),and Real-time PCR and Western blotting were used to examine the mRNA and protein expression levels of ER stress pathway markers associated with inflammation.Results 1.The effects of different concentrations of LPS on cell viability and morphology were not statistically significant after acting on BV-2 cells for 24 hours(P>0.05);2.1 mg/L LPS incubated with BV-2 cells for different times and the cell viability decreased with the increase of time;3.Compared with the 0 hour group,the levels of pro-inflammatory cytokine interleukin(IL)-1β,tumor necrosis factor-α(TNF-α)mRNA and protein expression increased significantly(P<0.05)in the LPS-stimulated 9 hours,12 hours,and 24 hours groups,and the inflammation model was successfully established;4.Compared with the 0 hour group,the protein and mRNA expression levels of the endoplasmic reticulum stress pathway-related indexes in the LPS-stimulated 9 hours,12 hours,and 24 hours groups increased significantly(P<0.01),which showed the time-dependence;5.After adding the PERK inhibitor GSK2606414,the mRNA and protein expression levels of endoplasmic reticulum stress-related indicators in the PERK inhibitor group were significantly reduced compared with those in the LPS group(P<0.05);6.The mRNA and protein expression levels of pro-inflammatory cytokines and the fluorescence intensity of ROS in the PERK inhibitor group were significantly reduced compared with those in the LPS group(P<0.01).Conclusion Targeting PERK-mediated endoplasmic reticulum stress inhibits LPS-induced inflammatory responses in microglia.
9.Application and inspiration of aesthetic education based on drawing techniques in medical morphology courses
Li-Na GUO ; Ming-Qi WANG ; Yan-Fang DING ; Yang SONG ; Xin ZHOU ; Hai-Ying MA
Acta Anatomica Sinica 2025;56(5):612-618
Objective To explore the effectiveness of drawing-based method in medical courses and their impact on students' learning habits,academic performance,and comprehensive competencies,in order to meet the demand for high-quality,interdisciplinary,and innovative talent,and provide theoretical support for integrating aesthetic education into medical training.Methods A questionnaire survey was conducted among medical students(n=310)at Dalian Medical University,covering the frequency of using drawing method and their effects on learning outcomes,innovation ability,and humanistic qualities.Data were analyzed using the Chi-square test and Fisher's exact test(P<0.05).Results Totally 93.6%of students approved of using drawing method for learning medical courses,with 70.8%having developed a habit of drawing-based learning.Students with stronger drawing skills were more inclined to use drawing method and supported their application in teaching.The frequency of drawing-based learning was positively correlated with anatomy scores(P<0.05).Students generally agreed that drawing method enhanced knowledge comprehension,learning interest,long-term memory,innovation ability,critical thinking,and humanistic qualities.However,students with weaker drawing skills perceived drawing method as potentially increasing learning burdens and being less efficient,but this perception significantly decreased with increased drawing frequency(P<0.05).Conclusion Drawing methods are widely used in medical courses and effectively improve learning outcomes and comprehensive competencies.Drawing proficiency and frequency are key factors influencing students' acceptance and learning effectiveness.Future efforts should focus on promoting drawing method,strengthening students' drawing skills,and optimizing learning processes to deepen the integration of aesthetic education in medical training.
10.Construction and validation of a nomogram prediction model for the risk of gastrointestinal bleeding in hospitalized patients with coronary heart disease
Yutao DING ; Yuhang WEI ; Rujun LI ; Xin PAN ; Yang GAO
Journal of Clinical Medicine in Practice 2025;29(19):12-18
Objective To screen the independent influencing factors for gastrointestinal bleeding(GIB)in hospitalized patients with coronary heart disease(CHD)and to construct and validate a no-mogram prediction model.Methods A total of 440 CHD patients who developed GIB during hospi-talization were selected as GIB group,and another 320 CHD patients hospitalized in the department of cardiovascular medicine were randomly selected as non-GIB group.The clinical data of the two groups were analyzed and compared.Multivariate logistic regression analysis was used to screen the indepen-dentinfluencing factors for GIB.Based on these factors,a nomogram prediction model for the risk of GIB in hospitalized CHD patients was constructed.The entire dataset was randomly divided into train-ing set(n=532)and validation set(n=228)in a 7∶3 ratio.The performance of the nomogram model was evaluated using the receiver operating characteristic(ROC)curve,calibration curve,and decision curve analysis(DCA).Results Multivariate logistic regression analysis showed that body mass index(BMI),history of digestive system diseases,CHD classification,albumin,white blood cell count,monocyte-to-lymphocyte ratio(MLR),and low-density lipoprotein were all independent influencing factors for GIB in CHD patients(P<0.05).ROC curve analysis indicated that the nomo-gram model(excluding low-density lipoprotein)constructed based on independent influencing factors exhibited good discrimination in both the training set(area under the curve:0.839,95%CI,0.805 to 0.873)and the validation set(area under the curve:0.810,95%CI,0.751 to 0.868).Calibration curve analysis demonstrated good consistency between the predicted probabilities and the observed incidence of GIB in hospitalized CHD patients in both the training and validation sets.DCA results revealed that the nomogram model had a good clinical net benefit.Conclusion The nomogram model constructed based on independent influencing factors has good predictive performance for the risk of GIB in hospitalized CHD patients and can provide a basis for clinicians to promptly identify GIB and adjust medication regimens.

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