1.Protective effects and mechanisms of sodium pyruvate on storage lesions in human red blood cells
Haoning CHEN ; Qi MIAO ; Qiang GAO ; Xin SUN ; Shunyu MEI ; Li WANG ; Yun LIAN ; Honglin LUO ; Chenjie ZHOU ; Hao LI
Chinese Journal of Blood Transfusion 2025;38(6):833-838
Objective: To investigate the protective effects and underlying mechanisms of sodium pyruvate (SP) on RBC storage lesions using an oxidative damage model. Methods: Six units of leukocyte-depleted suspended RBCs (discarded for non-infectious reasons within three days post-collection) were randomly assigned to four groups: negative control (NS), positive control (PS), experimental group 1 (SP1), and experimental group 2 (SP2). Oxidative stress was induced in the PS group by the addition of hydrogen peroxide (H
O
), while SP1 and SP2 received SP supplementation at different concentrations (25 mM and 50 mM, respectively) in the presence of H
O
. After 1 hour of incubation, RBC morphology was assessed microscopically, and biochemical indicators including glutathione (GSH), malondialdehyde (MDA), methemoglobin (MetHb), adenosine triphosphate (ATP), and Na
/K
-ATPase activity were measured. Results: RBCs in the PS group exhibited pronounced morphological damage, including cell shrinkage and echinocyte formation, whereas both SP-treated groups showed significantly reduced structural injury. SP treatment led to elevated GSH levels and decreased concentrations of MDA and MetHb, suggesting attenuation of oxidative stress. Additionally, SP enhanced intracellular ATP levels and Na
/K
-ATPase activity, thereby contributing to membrane stability. Notably, the SP2 group (50 mM) demonstrated superior protective effects compared to SP1 (25 mM). Conclusion: Sodium pyruvate effectively attenuates oxidative storage lesions in RBCs, primarily through its antioxidant properties, energy metabolism supporting ability, and celluar membrane stabilizing function. These findings suggest SP as a promising additive for enhancing the quality and safety of stored RBCs.
2.PTEN Mutation Related Unilateral Multicentric, Synchronous and Metachronous Bilateral Breast Cancer: Three Case Reports
Ru YAO ; Xu YANG ; Yang QU ; Jie LIAN ; Jiahui ZHANG ; Xin HUANG ; Chang CHEN ; Xinyu REN ; Bo PAN ; Yidong ZHOU ; Qiang SUN
Medical Journal of Peking Union Medical College Hospital 2024;15(4):916-920
Phosphatase and tensin-homolog deleted on chromosome 10 (PTEN) is an important cancer suppressor gene. Its pathogenic mutation leads to PTEN hamartoma tumor syndrome (PHTS), a rare syndrome also known as Cowden syndrome, which is relevant to early-onset hereditary breast cancer (BC). In this paper, we report three patients with unilateral multicentric BC and synchronous and metachronous bilateral BC who harbored PTEN gene mutations, and summarize the clinical manifestations, pathological characteristics, diagnosis, treatment and follow-up outcomes to provide reference for management of PTEN gene mutation-related BC among the Cowden syndrome population.
3.Establishment and validation of intelligent detection model for acute promyelocytic leukemia based on contrastive learning in complete blood cell analysis
Shengli SUN ; Jianying LI ; Heqing LIAN ; Bairui LI ; Dan LIU ; Geng WANG ; Xin WANG ; Yuan HUANG ; Jianping ZHANG ; Qian CHEN ; Wei WU
Chinese Journal of Clinical Laboratory Science 2024;42(4):252-255
Objective To establish an intelligent detection algorithm model for acute promyelocytic leukemia(M3 model)based on a contrast large model using machine learning statistical software and validate its effectiveness.Methods The data from 8 256 outpa-tients and inpatients who underwent complete blood cell analysis at Peking Union Medical College Hospital were retrieved and analyzed using the laboratory information system(LIS)and hospital information system(HIS).A M3 screening model was established and vali-dated using the data from outpatients and inpatients who underwent complete blood cell analysis at our hospital from July to October 2023.Results The M3 model demonstrated potential application value in screening for M3 disease in complete blood cell analysis,which showed certain efficacy in screening for neutrophil toxicity changes,particularly in identifying two cases of blue-green inclusion bodies in neutrophils.Conclusion The M3 model exhibited low specificity for M3 diagnosis.Future research should focus on increas-ing the number of M3-positive cases to optimize the model,ensuring high sensitivity while improving specificity.This model will provide assistance for the intelligent review of complete blood cell analysis.
4.Clinical Efficacy and Safety of Ixazomib-Containing Regimens in the Treatment of Patients with Multiple Myeloma
Ran CHEN ; Lian-Guo XUE ; Hang ZHOU ; Tao JIA ; Zhi-Mei CAI ; Yuan-Xin ZHU ; Lei MIAO ; Ji-Feng WEI ; Li-Dong ZHAO ; Jian-Ping MAO
Journal of Experimental Hematology 2024;32(2):483-492
Objective:To investigate the clinical efficacy and safety of ixazomib-containing regimens in the treatment of patients with multiple myeloma(MM).Methods:A retrospective analysis was performed on the clinical efficacy and adverse reactions of 32 MM patients treated with a combined regimen containing ixazomib in the Hematology Department of the First People's Hospital of Lianyungang from January 2020 to February 2022.Among the 32 patients,15 patients were relapsed and refractory multiple myeloma(R/RMM)(R/RMM group),17 patients who responded to bortezomib induction therapy but converted to ixazomib-containing regimen due to adverse events(AE)or other reasons(conversion treatment group).The treatment included IPD regimen(ixazomib+pomalidomide+dexamethasone),IRD regimen(ixazomib+lenalidomide+dexamethasone),ICD regimen(ixazomib+cyclophosphamide+dexamethasone),ID regimen(ixazomib+dexamethasone).Results:Of 15 R/RMM patients,overall response rate(ORR)was 53.3%(8/15),among them,1 achieved complete response(CR),2 achieved very good partial response(VGPR)and 5 achieved partial response(PR).The ORR of the IPD,IRD,ICD and ID regimen group were 100%(3/3),42.9%(3/7),33.3%(1/3),50%(1/2),respectively,there was no statistically significant difference in ORR between four groups(x2=3.375,P=0.452).The ORR of patients was 50%after first-line therapy,42.9%after second line therapy,60%after third line therapy or more,with no statistically significant difference among them(x2=2.164,P=0.730).In conversion treatment group,ORR was 88.2%(15/17),among them,6 patients achieved CR,5 patients achieved VGPR and 4 patients achieved PR.There was no statistically significant difference in ORR between the IPD(100%,3/3),IRD(100%,6/6),ICD(100%,3/3)and ID(60%,3/5)regimen groups(x2=3.737,P=0.184).The median progression-free survival(PFS)time of R/RMM patients was 9 months(95%CI:6.6-11.4 months),the median overall survival(OS)time was 18 months(95%CI:11.8-24.4 months).The median PFS time of conversion treatment group was 15 months(95%CI:7.3-22.7 months),the median OS time not reached.A total of 10 patients suffered grade 3-4 adverse event(AE).The common hematological toxicities were leukocytopenia,anemia,thrombocytopenia.The common non-hematological toxicities were gastrointestinal symptoms(diarrhea,nausea and vomit),peripheral neuropathy,fatigue and infections.Grade 1-2 peripheral neurotoxicity occurred in 7 patients.Conclusion:The ixazomib-based chemotherapy regimens are safe and effective in R/RMM therapy,particularly for conversion patients who are effective for bortezomib therapy.The AE was manageable and safe.
5.Distribution and Drug Resistance of Pathogens Causing Bloodstream Infection in Patients with Hematological Malignancies
Ming YANG ; Huai-Xin GENG ; Jin-Ge TAI ; Hai-Lian SHAO ; Jing-Wen CHEN ; Ke DONG
Journal of Experimental Hematology 2024;32(2):583-587
Objective:To investigate distribution and drug resistance of pathogens of bloodstream infection in patients with hematological malignancies,in order to provide reference for clinical infection control and treatment.Methods:The clinical information of blood culture patients in the hematology department of our hospital from January 2016 to December 2021 was reviewed.They were divided into transplantation group and non-transplantation group according to whether they had undergone hematopoietic stem cell transplantation.The types of pathogens and their drug resistance were analyzed.Results:Two hundred and ninety-nine positive strains of pathogenic bacteria were detected.In the transplantation group,Gram-negative bacteria accounted for 68.5%(50/73),Gram-positive bacteria accounted for 6.8%(5/73),and fungi accounted for 24.7%(18/73).The resistance rate of Escherichia coli to the third-generation cephalosporins was 77.8%,and 11.5%to carbapenems.The resistance rate of Klebsiella pneumoniae to the third-generation cephalosporins was 50.0%,and 56.2%to carbapenems.In the non-transplantation group,Gram-negative bacteria accounted for 64.1%(145/226),Gram-positive bacteria accounted for 31.0%(70/226),and fungi accounted for 4.9%(11/226).Gram-positive bacteria were mainly Enterococcus faecium(6.6%,15/226)and Coagulase-negative Staphylococci(6.2%,14/226).The fungi were all Candida tropicalis.The resistance rate of Escherichia coli to the third-generation cephalosporins was 63.8%,and 10.3%to carbapenems.The resistance rate of Klebsiella pneumoniae to the third-generation cephalosporins was 46.3%,and 26.8%to carbapenems.Conclusion:The types of pathogenic bacteria in bloodstream infection in patients with hematological malignancies are varied.Gram-negative bacteria is the main pathogenic bacteria.The resistance of pathogenic bacteria to antibiotics is severe.Antibiotics should be used scientifically and reasonably according to the detection and resistance of pathogenic bacteria.
6.Artificial intelligence models based on non-contrast chest CT for measuring bone mineral density
Wei DUAN ; Guoqing YANG ; Yang LI ; Feng SHI ; Lian YANG ; Xin XIONG ; Bei CHEN ; Yong LI ; Quanshui FU
Chinese Journal of Medical Imaging Technology 2024;40(8):1231-1235
Objective To observe the value of artificial intelligence(AI)models based on non-contrast chest CT for measuring bone mineral density(BMD).Methods Totally 380 subjects who underwent both non-contrast chest CT and quantitative CT(QCT)BMD examination were retrospectively enrolled and divided into training set(n=304)and test set(n=76)at a ratio of 8∶2.The mean BMD of L1-L3 vertebrae were measured based on QCT.Spongy bones of T5-T10 vertebrae were segmented as RO1,radiomics(Rad)features were extracted,and machine learning(ML),Rad and deep learning(DL)models were constructed for classification of osteoporosis(OP)and evaluating BMD,respectively.Receiver operating characteristic curves were drawn,and area under the curves(AUC)were calculated to evaluate the efficacy of each model for classification of OP.Bland-Altman analysis and Pearson correlation analysis were performed to explore the consistency and correlation of each model with QCT for measuring BMD.Results Among ML and Rad models,MLBagging OP and RadBagging-OP had the best performances for classification of OP.In test set,AUC of MLBagging-OP,RadBagging-op and DLOP for classification of OP was 0.943,0.944 and 0.947,respectively,with no significant difference(all P>0.05).BMD obtained with all the above models had good consistency with those measured with QCT(most of the differences were within the range of(x)±1.96s),which were highly positively correlated(r=0.910-0.974,all P<0.001).Conclusion AI models based on non-contrast chest CT had high efficacy for classification of OP,and good consistency of BMD measurements were found between AI models and QCT.
7.Screening and identification of xanthine oxidase inhibitors from Smilax glabra
Hui-Liang ZOU ; Ke CHEN ; Xin-Cai WANG ; Xiao CHENG ; Ling-Jie MENG ; Bai-Lian LIU ; Min CHEN
Chinese Traditional Patent Medicine 2024;46(5):1558-1564
AIM To rapidly screen xanthine oxidase(XOD)inhibitors from Smilax glabra Roxb.by enzyme-immobilized magnetic microspheres and LC-MS/MS,and to confirm the anti-uric acid constituents from S.glabra Roxb.METHODS The immobilized xanthine oxidase was prepared by covalent coupling with carboxyl magnetic beads as a carrier.The xanthine oxidase inhibitors in S.glabra were screened by the specific adsorption of immobilized enzyme.LC-MS/MS and standard substances were used for analysis and comparison,and the inhibitory activity and inhibition type of the screened and identified components were investigated.RESULTS The successful synthesis of immobilized xanthine oxidase was characterized by scanning electron microscopy and infrared spectroscopy.The enzyme loading was 70.50 μg/mg and the relative activity was 79.44%.Thirteen active compounds were screened from the extract of S.glabra,and eleven compounds were identified.The enzyme activity test showed that the inhibitory activites of engeletin and isoengeletin were the strongest,which was close to the positive control allopurinol.The IC50 value and inhibition type were 32.25 μg/mL,mixed inhibition,35.12 μg/mL,competitive inhibition.CONCLUSION The method is simple,rapid,accurate and suitable for directly screened active ingredients which can inhibit XOD from complex extract of traditional Chinese medicines.
8. Effect of a novel phosphodiesterase type 5 inhibitor, CPD1, on carbon tetrachloride-induced liver fibrosis in mice
Wen-Bin FENG ; Jian-Qin YANG ; Xin-Hui CHEN ; Zhong-Lian XIE ; Ying-Ying ZHANG ; Ying-Xi CHEN ; Zi-Jian ZHAO ; Yun-Ping MU ; Fang-Hong LI
Chinese Pharmacological Bulletin 2023;39(3):470-476
Aim To investigate the effects of CPD1, a novel phosphodiesterase 5 inhibitor, on liver pathological phenotype and hepatic stellate cells (HSCs) activation in hepatic fibrosis model mice caused by carbon tetrachloride ( CCl
9.Analysis of medicinal value of gold based on ancient and modern comparison
Shuo CHEN ; Nan WANG ; Lian-Sheng YANG ; Wei-Zhe DENG ; Zhi-Xin YANG
China Pharmacist 2023;26(11):304-310
Gold is one of the mineral medicine and has a long history."Calm the spirit,strengthen the bone marrow,clear five viscera,remove evil gas,and be like the immortal"was written on the"Annotation of Materia Medica",which was the first time to make clear its medicinal value.With the passage of time and the increase of related literature,people have a deeper understanding of the toxicity of gold.In order to avoid the harm caused by toxicity,the use frequency of gold is greatly reduced.There is still a lack of systematic research and sorting in modern researches,and the question of whether gold has medicinal value in Chinese patent medicine has not been deeply explored.Based on the description of ancient materia medica medical books,referring to the modern research results on"gold",this paper focused on the progress of medicinal properties of gold,ancient and modern applications and toxicity understanding,and on this basis,the medicinal value was analyzed,concluded and summarized,and the ancients'correct views on the use of gold was textually researched to provide the basis for further rational drug use in clinical and further development of its medicinal value.
10.Diagnostic values of radiomics models in micro-calcifications in carotid plaques
Xin CHEN ; Hao ZHANG ; Ying HE ; Song YANG ; Liping CAO ; Mengmeng WANG ; Yazhou MA ; Fei HUA ; Xuegan LIAN
Chinese Journal of Neuromedicine 2023;22(6):547-552
Objective:To construct radiomics models of micro-calcification in carotid plaques, and compare their diagnostic values.Methods:Fifty-two patients with large atherosclerotic cerebral infarction admitted to Department of Neurology, Third Affiliated Hospital of Soochow University from May 2017 to November 2019 were enrolled. All patients underwent conventional carotid artery Doppler ultrasound to detect carotid plaques and Micropure? ultrasound to detect micro-calcifications in the plaques. A cross-section image with maximum numbers of micro-calcifications was chosen when there were micro-calcifications in carotid plaques; otherwise, a cross-section image with the largest area of the plaque was chosen. After all images were normalized by Photoshop software, the plaques were delineated as regions of interest using MaZda 4.6 software and 283 texture features of the plaques were automatically extracted. The texture features with the strongest predictive value were selected through consistency analysis (intrclass correlation coefficient [ICC]>0.75), two-sample t-test, Least absolute shrinkage and selection operator (Lasso) regression. The predictive models were constructed by RandomForest (RF) and Support vector machine (SVM) classifiers. The training set and test set were divided by 7: 3 to analyze the classification accuracy. Receiver operating characteristic (ROC) curves were used to calculate the area under the curve (AUC) to evaluate the diagnostic values of the models. Delong test was used to compare the difference between the diagnostic values of the 2 classifiers in test set. Results:A total of 148 plaque images from 52 patients were enrolled, including 104 plaques with micro-calcification and 44 plaques without micro-calcification. Nine texture features were finally selected after ICC analysis, T test and Lasso regression: 5 image gray histogram features were mean, variance, skewness, kurtosis and 99 th percentile (Perc. 99%); 1 autoregressive model feature was Teta3, and 3 wavelet transform features were WavEnLH_s-3, WavEnLH_s-4, and WavEnLH_s-6. With RF classifier, accuracy of the diagnostic model was 0.93, enjoying AUC of 0.92; with SVM classifier, that was 0.91, enjoying AUC of 0.90; Delong test showed that the diagnostic values of the 2 classifiers in test set were significantly different ( Z=1.000, P=0.320). Conclusion:Radiomic models constructed by RF and SVM classifiers can identify micro-calcification in carotid plaques, and the 2 classifiers share equivalent diagnostic values.

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