1.Anthocyanins from Lycium ruthenicum Murr combined with human adipose-derived pericytes/perivascular cells support proliferation of umbilical cord blood hematopoietic stem/progenitor cells
Yamei SHEN ; Yunxia NIU ; Tingting YANG ; Jie MA ; Daihong HU ; Bo ZHENG
Chinese Journal of Tissue Engineering Research 2025;29(1):58-64
		                        		
		                        			
		                        			BACKGROUND:Anthocyanin is one of the most important active components in Lycium ruthenicum Murr,which has antioxidant and immunomodulatory effects.CD146+human adipose-derived pericytes/perivascular cells(CD146+hAD-PCs)are the progenitors of bone marrow mesenchymal stem cells,which can promote the proliferation and differentiation of hematopoietic stem/progenitor cells in vitro.The support effect of anthocyanin in combination with CD146+hAD-PCs on umbilical cord blood hematopoietic stem/progenitor cells remains to be studied. OBJECTIVE:To investigate the supporting effect of anthocyanins in Lycium ruthenicum Murr(ALRM)combined with CD146+hAD-PCs on umbilical cord blood CD34+hematopoietic stem/progenitor cells(UCB CD34+HSPCs)in vitro. METHODS:The CCK-8 assay was used to detect the effect of different concentrations(0,200,400,600,800,1 000 mg/L)of ALRM on the proliferation of CD146+hAD-PCs.Flow cytometry was used to detect the effect of ALRM on the cell cycle of CD146+hAD-PCs.The co-culture experiments were divided into blank group,ALRM group,CD146+hAD-PCs group,and ALRM+CD146+hAD-PCs group to analyze the in vitro supporting effect of ALRM combined with CD146+hAD-PCs on UCB CD34+HSPCs.The number of expanded cells and the number of colony-forming units were compared at 1,2,and 4 weeks of co-culture.The immunophenotype of cells was detected by flow cytometry.The level of cytokines was detected by enzyme-linked immunosorbent assay. RESULTS AND CONCLUSION:(1)The cell viability of CD146+hAD-PCs was highest at an ALRM concentration of 200 mg/L,the proportion of G0/G1 phase cells decreased and the proportion of S and G2/M phase cells increased in CD146+hAD-PCs(P<0.01).(2)The change in number of UCB CD34+HSPCs cells in the ALRM+CD146+hAD-PCs group was higher than that in the ALRM group at 1,2,and 4 weeks of co-culture(all P<0.05),and higher than that in CD146+hAD-PCs group at 2 and 4 weeks of co-culture(all P<0.05).The number of cells in the ALRM group and blank group decreased gradually with the extension of co-culture time.(3)Colony forming capacity and immunophenotype analysis:The number of colony-forming units in the ALRM+CD146+hAD-PCs group was higher than that in the CD146+hAD-PCs group and ALRM group at 1 and 2 weeks of co-culture(P<0.05).The proportion of CD45+and CD34+CD33-cells in the ALRM+CD146+hAD-PCs group was higher than that in the CD146+hAD-PCs group at 1 and 2 weeks of co-culture(all P<0.01).(4)Changes in cytokines:Interleukin-2 level in the ALRM+CD146+hAD-PCs group was higher than that in the ALRM and CD146+hAD-PCs groups(P<0.05).The interleukin-3 content of the ALRM+CD146+hAD-PCs group was higher than that of the CD146+hAD-PCs group at 2 and 4 weeks(P<0.05).The expression level of granulocyte colony-stimulating factor in the ALRM+CD146+hAD-PCs group was higher than that in the CD146+hAD-PCs group at 1 week,and higher than that in the ALRM group and CD146+hAD-PCs group at 2 weeks(P<0.01).Interferon-γ content in the ALRM group and ALRM+CD146+hAD-PCs group was lower than that in the CD146+hAD-PCs group at 1,2,and 4 weeks of co-culture(P<0.01).(5)Due to the absence of stromal cells in the blank group,UCB CD34+HSPCs could not be counted after 1 week of co-culture and were not subjected to immunophenotyping,colony analysis,or cytokine assays.(6)In summary,ALRM can promote the expansion of UCB CD34+HSPCs in vitro by promoting CD146+hAD-PCs proliferation and cell cycle transformation,which is of great value in hematopoietic stem cell transplantation.
		                        		
		                        		
		                        		
		                        	
2.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. 
		                        		
		                        		
		                        		
		                        	
3.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. 
		                        		
		                        		
		                        		
		                        	
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.A consensus on the management of allergy in kindergartens and primary schools
Chinese Journal of School Health 2023;44(2):167-172
		                        		
		                        			Abstract
		                        			Allergic diseases can occur in all systems of the body, covering the whole life cycle, from children to adults and to old age, can be lifelong onset and even fatal in severe cases. Children account for the largest proportion of the victims of allergic disease, Children s allergies start from scratch, ranging from mild to severe, from less to more, from single to multiple systems and systemic performance, so the prevention and treatment of allergic diseases in children is of great importance, which can not only prevent high risk allergic conditions from developing into allergic diseases, but also further block the process of allergy. At present, there is no consensus on the management system of allergic children in kindergartens and primary schools. The "Consensus on Allergy Management and Prevention in Kindergartens and Primary Schools", which includes the organizational structure, system construction and management of allergic children, provides evidence informed recommendations for the long term comprehensive management of allergic children in kindergartens and primary schools, and provides a basis for the establishment of the prevention system for allergic children.
		                        		
		                        		
		                        		
		                        	
6.Qualitative characteristics of contrast-enhanced ultrasound and VueBox quantitative perfusion analysis of the molecular classification of breast cancer
Quanli SU ; Lingling LI ; Yunxia DENG ; Feifei LIN ; Qiao HU
Chinese Journal of Ultrasonography 2023;32(5):399-405
		                        		
		                        			
		                        			Objective:To investigate the value of qualitative characteristics of contrast-enhanced ultrasound (CEUS) and VueBox quantitative parameters in the evaluation of pathological molecular typing of breast cancer.Methods:A retrospective analysis was performed on 133 patients with pathologically confirmed breast cancer who underwent CEUS examination in the People′s Hospital of Guangxi Zhuang Autonomous Region from January 2020 to July 2022. The patients were divided into Luminal A type, Luminal B type, human epidermal growth factor receptor-2(HER-2) type and triple negative type according to the results of immunohistochemistry. The differences of qualitative characteristics and quantitative parameters of CEUS in different molecular subtypes of breast cancer were analyzed. The ROC curve was used to evaluate the diagnostic efficacy of CEUS in the differentiation of molecular subtypes of breast cancer.Results:There were significant differences in enhancement intensity, post-enhancement boundary, filling defect and peripheral radial convergence among different molecular subtypes of breast cancer(all P<0.05), while there was no significant difference in enhancement uniformity ( P>0.05). Peak enhancement (PE), wash-in and wash-out areas under the curve (WiWoAUC), and wash-in ratio (WiR) of HER-2 type and triple-negative type breast cancer were higher than Luminal A type and Luminal B type (all P<0.05). ROC curve analysis showed that PE and radial convergence had reasonable diagnostic efficiency in Luminal A type, and the areas under the curve were 0.849 and 0.780, sensitivity was 0.711 and 0.889, specificity was 0.909 and 0.671, accuracy was 0.842 and 0.744, respectively. The areas under the curve of PE in diagnosing Luminal B type was 0.852, the sensitivity, specificity, and accuracy were 0.825, 0.763 and 0.782, respectively. The area under the curve of WiWoAUC and filling defect in diagnosing HER-2 type were 0.912 and 0.898, the sensitivity was 0.903 and 0.903, the specificity was 0.853 and 0.892, and the accuracy was 0.865 and 0.895, respectively. The area under the curve of clear boundary after enhancement in diagnosing triple negative type was 0.919, and the sensitivity, specificity and accuracy were 0.941, 0.897 and 0.902, respectively. Conclusions:There are differences in the qualitative characteristics and quantitative parameters of contrast-enhanced ultrasound in different molecular types of breast cancer. CEUS is suggested as a noninvasive modality for preoperative prediction of molecular subtypes of breast cancer.
		                        		
		                        		
		                        		
		                        	
7.Leptin dysregulated immune responses of B cells in patients with systemic lupus erythematosus
Haifeng CHEN ; Minchao ZOU ; Ting LIU ; Yunxia HU ; Fenghong YUAN
Chinese Journal of Rheumatology 2022;26(8):542-547
		                        		
		                        			
		                        			Objective:To explore the effect of leptin on B cells in patients with systemic lupus erythematosus (SLE).Methods:Peripheral blood mononuclear cells (PBMCs) were isolated from SLE patients, and then CD19 + B cells were purified with magnetic bead sorting method. PBMCs or purified B cells were cultured with recombinant leptin at 0, 100, 250 ng/ml for 3 or 5 days. The frequencies of plasma cells, follicular helper T (Tfh) cells and peripheral helper T (Tph) cells, as well as activation markers (CD80, CD86) and leptin receptor and the proliferation of B cells were determined with flow cytometry. The concentrations of antibodies and cytokines were examined with enzyme-linked immunosorbnent assay (ELISA). Data were analyzed with t test and analysis of variance (ANOVA). Results:Increased levels of leptin were positively correlated with systematic lupus erythematosus disease activity index (SLEDAI) and the frequency of plasma cells in SLE patients. Leptin receptor could be detected on SLE B cells, and recombinant leptin elevated the levels of its receptor on CD19 + B cells [(7.8±1.3)% vs (6.1±0.9)%, t=3.36, P=0.006]. Leptin enhanced the expression of CD80 [(21±4)% vs (19±4)%, t=2.84, P=0.004] and CD86 [(22±4)% vs (19±4)%, t=4.92, P=0.004] on SLE B cells in vitro. It also promoted B cells to differentiate into plasma cells [(7.6±1.5)% vs (5.2±1.3)%, t=6.42, P=0.025]. There was no statistical significant difference of the effect of leptin on B cell proliferation. Leptin also increased the levels of antibodies [IgG: (62±3) ng/ml vs (45±4) ng/ml, t=7.75, P<0.001; IgM: (112±24) ng/ml vs (56±18) ng/ml, t=5.38, P<0.001] and inflammatory cytokines [IL-6: (24±5) pg/ml vs (20±5) pg/ml, t=4.09, P=0.002; TNF-α: (19.1±3.8) pg/ml vs (14.1±2.9) pg/ml, t=3.38, P=0.006; IL-10: (24±5) pg/ml vs (20±5) pg/ml, t=4.09, P=0.002] secreted by B cells. In addition, leptin significantly upregulated the frequencies of Tfh cells[(2.82±0.49)% vs (1.28±0.20)%, t=4.56, P=0.001] and Tph cells [(4.5±0.5)% vs (3.4±0.4)%, t=3.88, P=0.003]. Conclusion:Leptin could directly promote the activation, differentiation and secretory capacity of B cells by binding to its receptor, and also modulate B cell responses indirectly via enhancement of Tfh and Tph cells, which may be involved in the pathogenesis of SLE.
		                        		
		                        		
		                        		
		                        	
8.Significance of serum hepcidin in assessment of liver inflammation activity among patients with chronic hepatitis B
Yinfei HU ; Tao HE ; Yunxia FEI ; Xiangbo ZHANG ; Jie WANG ; Ling GONG ; Xiaoben PAN ; Gongyin CHEN
Journal of Preventive Medicine 2022;34(3):240-243
		                        		
		                        			Objective:
		                        			To investigate the value of serum hepcidin in assessment of liver inflammation activity among patients with chronic hepatitis B ( CHB ), so as to provide insights into the assessment of liver inflammation activity among CHB patients.
		                        		
		                        			Methods:
		                        			A total of 79 CHB patients who were admitted to the Affiliated Hospital of Hangzhou Normal University were selected as the experimental group, while 40 healthy volunteers were randomly sampled as controls. Subjects'demographic data, liver function tests and iron metabolism parameters were collected from medical records, and serum hepcidin was measured using enzyme-linked immunosorbent assay ( ELISA ). In addition, ultrasound-guided liver biopsy was performed in CHB patients, and mild and moderate-to-severe CHB were classified according to liver inflammation activity and degree of liver fibrosis. Serum hepcidin levels were compared between the experimental and control groups and between patients with mild and moderate-to-severe CHB. The value of serum hepcidin in assessment of liver inflammation activity was examined among CHB patients using the receiver operating characteristic ( ROC ) curve analysis.
		                        		
		                        			Results:
		                        			Subjects in the experimental group included 54 men ( 68.35% ) and had a mean age of ( 39.06±10.67 ) years, while the controls included 24 men (60.00%) and had a mean age of ( 42.43±11.44 ) years. Lower hepcidin levels were measured in the experimental group than in the control group [( 11.70±5.64 ) vs. ( 17.82±3.63 ) μg/L; P<0.05 ]. There were 54 patients with mild CHB ( 68.35% ) and 25 cases with moderate-to-severe CHB ( 31.65% ), and lower hepcidin levels were detected in patients with moderate-to-severe CHB than in those with mild CHB [ ( 6.92±2.21 ) vs. ( 13.95±5.36 ) μg/L; P<0.05 ]. The area under the ROC curve, optimal cut-off, sensitivity and specificity of serum hepcidin were 0.903 ( P<0.05 ), 10.365 μg/L, 100.0% and 72.2% for assessment of moderate-to-severe CHB, respectively.
		                        		
		                        			Conclusion
		                        			Serum hepcidin is feasible to evaluate the liver inflammatory activity among patients with CHB.
		                        		
		                        		
		                        		
		                        	
9.Exploration of cut-off values of amino acid levels in premature infants in Sichuan
Jingyao ZHOU ; Mingcai OU ; Xiaoju LUO ; Xingyue SU ; Yu ZHANG ; Qi HU ; Xuelian CHEN ; Lijuan YANG ; Yunxia YANG
Chinese Journal of Applied Clinical Pediatrics 2022;37(5):362-365
		                        		
		                        			
		                        			Objective:To detective the cut-off values of amino acid levels in premature infants in Sichuan.Methods:Data of newborns screening for inherited metabolic diseases (IMD) by tandem mass spectrometry in Sichuan Province from January 2018 to December 2019 were retrospectively analyzed.They were divided into premature infant group ( n=2 264, 1 312 males and 952 females) and full-term infant group ( n=53 275, 28 269 males and 25 006 females). The cut-off values of amino acids in dry blood spots were expressed as percentage ( P0.5 - P99.5), and rank sum test was used for comparison between preterm and full-term infants. Results:(1) The distribution of 11 amino acids [alanine (ALA), arginine (ARG), citrulline (CIT), glycine(GLY), leucine (LEU), methionine (MET), ornithine (ORN), phenylalanine (PHE), proline (PRO), tyrosine (TYR) and valine (VAL)] in premature infants were abnormal.(2) The cut-off values of amino acids in premature infants were as follows: ALA: 135.20-552.33 μmol/L, ARG: 1.34-47.04 μmol/L, CIT: 5.66-32.02 μmol/L, GLY: 181.48-909.93 μmol/L, LEU : 71.10-283.29 μmol/L, MET: 4.21-34.51 μmol/L, ORN: 40.58-293.76 μmol/L, PHE: 23.60-106.30 μmol/L, PRO: 77.76-358.24 μmol/L, TYR: 27.52-352.91 μmol/L, VAL: 53.74-228.37 μmol/L.(3) The cut-off values of amino acid in full-term infants were as follows: ALA: 135.20-552.33 μmol/L, ARG: 1.30-42.73 μmol/L, CIT: 5.92-30.35 μmol/L, GLY: 208.17-980.09 μmol/L, LEU: 72.91-287.49 μmol/L, MET: 4.27-33.90 μmol/L, ORN: 48.40-305.59 μmol/L, PHE: 27.63-92.27 μmol/L, PRO: 97.38-372.75 μmol/L, TYR: 40.19-276.54 μmol/L, VAL: 65.75-237.92 μmol/L.(4) Except for PHE ( Z=-0.58, P>0.05), the other indicators were significantly different between 2 groups [ALA ( Z=-15.32, P<0.05), ARG ( Z=-5.62, P<0.05), CIT ( Z=-5.86, P<0.05), GLY ( Z=-14.52, P<0.05), LEU ( Z=-5.62, P<0.05), MET ( Z=-5.22, P<0.05), ORN ( Z=-13.01, P<0.05), PRO ( Z=-22.09, P<0.05), TRY ( Z=-2.09, P<0.05), VAL ( Z=-17.82, P<0.05)]. Conclusions:The establishment of the cut-off values of amino acids in premature infants in Sichuan provides a theoretical basis for laboratory diagnosis of IMD screening, which enhances the accuracy of diagnosis and avoids excessive medical treatment.
		                        		
		                        		
		                        		
		                        	
10.Clinical and Immunological Factors Associated with Postpartum Hepatic Flares in Immune-Tolerant Pregnant Women with Hepatitis B Virus Infection Treated with Telbivudine
Junfeng LU ; Xiaoxiao WANG ; Yunxia ZHU ; Lina MA ; Sujun ZHENG ; Zhongjie HU ; Xinyue CHEN
Gut and Liver 2021;15(6):887-894
		                        		
		                        			 Background/Aims:
		                        			To investigate postpartum hepatic flares and associated factors in highly viremic pregnant patients in the immune tolerance phase who adopted telbivudine (LdT) treatment in the last trimester to reduce vertical transmission of hepatitis B virus. 
		                        		
		                        			Methods:
		                        			Hepatitis B e antigen (HBeAg)-positive, highly viremic pregnant women were recruited for this prospective study. Treatment with LdT was started from 28 weeks of gestation. Virological and biochemical markers were examined before LdT treatment, antepartum and postpartum. Serial blood samples at the same time were collected to detect cytokines and cortisol (COR). 
		                        		
		                        			Results:
		                        			Fifty-six of 153 patients (36.6%) had postpartum hepatic flares, defined as a 2-fold increase in alanine aminotransferase 6 weeks after delivery. Age and the antepartum alanine aminotransferase and postpartum HBeAg levels were independent influencing factors of postpartum hepatic flares. Cytokines showed no regularity during or after pregnancy. Compared with the patients with no postpartum flares, the patients with flares had lower baseline interferon γ and COR levels (p=0.022 and p=0.028) and higher postpartum interferon γ levels (p=0.026). 
		                        		
		                        			Conclusions
		                        			A high proportion of highly viremic and immune-tolerant pregnant patients treated with LdT in the last trimester had postpartum hepatic flares, which implied that these patients entered the immune clearance phase after delivery. Thus, this may create an appropriate opportunity for re-antiviral therapy. 
		                        		
		                        		
		                        		
		                        	
            

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