1.Study on the discrimination of roasting degree of Ziziphus jujuba based on the correlation of colorimetric values with component content
Yuan LI ; Yanmei LIU ; Cheng HUANG ; Tangyi PENG ; Yanquan HAN
China Pharmacy 2026;37(9):1148-1154
OBJECTIVE To investigate the correlation of component content with colorimetric values during the roasting process of Ziziphus jujuba , and to provide criteria for discriminating the roasting degree of Z. jujuba . METHODS Samples were prepared by dry stir-frying for different roasting times. The eight main components in raw Z. jujuba and the samples stir-fried for different roasting times-namely adenosine, magnoflorine, jujuboside A, spinosin, 6-feruloylspinosin, betulinic acid, oleic acid, and linoleic acid-were quantitativel y analyzed using ultra-performance liquid chromatography. The chromaticity values were determined using a UV spectrophotometer. The correlation and differences between the chromaticity values of Z. jujuba at different roasting times and their components content were analyzed by Pearson correlation analysis, linear regression analysis, principal component analysis (PCA) , cluster heatmap analysis (CHA), and partial least squares discriminant analysis (PLS-DA) to clarify the processing endpoint. RESULTS As the roasting time increased, the contents of linoleic acid and oleic acid decreased, while the contents of other components exhibited an increasing trend. Concurrently, the colorimetric value L* and E*ab were observed to decline, whereas the a* value demonstrated a gradual increase. Pearson correlation analysis revealed that L* and E*ab exhibited a significant negative correlation with the contents of adenosine, spinosin, 6-feruloylspinosin, jujuboside A, betulinic acid and magnoflorine ( P <0.05). The results of linear regression analysis indicate that the content of six components, including adenosine, in the medicinal material can be preliminarily predicted by analyzing the colorimetric values of Z. jujuba powder. PCA and CHA successfully classified raw and stir-fried samples. The PLS-DA results indicated that L*, E*ab, a*, linoleic acid content, and oleic acid content were the main parameters that differentiated the color and quality of Z. jujuba at different roasting times. After frying for 9 to 10 minutes, the colorimetric values L* and E*ab decreased to their minimum values and stabilized, while a* remained consistently high with little variation;simultaneously, the concentrations of the six major components, excluding linoleic acid and oleic acid, reached their peak levels. CONCLUSIONS A significant correlation between the colorimetric values of Z. jujuba and the contents of six components, including adenosine, is confirmed. The optimal roasting time range is determined to be 9-10 minutes. Furthermore, the colorimetric value-component content correlation analysis method established in this study proved to be practical and applicable for discriminating the roasting degree of Z. jujuba .
2.Chinese expert consensus on integrated case management by a multidisciplinary team in CAR-T cell therapy for lymphoma.
Sanfang TU ; Ping LI ; Heng MEI ; Yang LIU ; Yongxian HU ; Peng LIU ; Dehui ZOU ; Ting NIU ; Kailin XU ; Li WANG ; Jianmin YANG ; Mingfeng ZHAO ; Xiaojun HUANG ; Jianxiang WANG ; Yu HU ; Weili ZHAO ; Depei WU ; Jun MA ; Wenbin QIAN ; Weidong HAN ; Yuhua LI ; Aibin LIANG
Chinese Medical Journal 2025;138(16):1894-1896
3.Identification of novel pathogenic variants in genes related to pancreatic β cell function: A multi-center study in Chinese with young-onset diabetes.
Fan YU ; Yinfang TU ; Yanfang ZHANG ; Tianwei GU ; Haoyong YU ; Xiangyu MENG ; Si CHEN ; Fengjing LIU ; Ke HUANG ; Tianhao BA ; Siqian GONG ; Danfeng PENG ; Dandan YAN ; Xiangnan FANG ; Tongyu WANG ; Yang HUA ; Xianghui CHEN ; Hongli CHEN ; Jie XU ; Rong ZHANG ; Linong JI ; Yan BI ; Xueyao HAN ; Hong ZHANG ; Cheng HU
Chinese Medical Journal 2025;138(9):1129-1131
4.Research progress on the comorbidity mechanism of sarcopenia and obesity in the aging population.
Hao-Dong TIAN ; Yu-Kun LU ; Li HUANG ; Hao-Wei LIU ; Hang-Lin YU ; Jin-Long WU ; Han-Sen LI ; Li PENG
Acta Physiologica Sinica 2025;77(5):905-924
The increasing prevalence of aging has led to a rising incidence of comorbidity of sarcopenia and obesity, posing significant burdens on socioeconomic and public health. Current research has systematically explored the pathogenesis of each condition; however, the mechanisms underlying their comorbidity remain unclear. This study reviews the current literature on sarcopenia and obesity in the aging population, focusing on their shared biological mechanisms, which include loss of autophagy, abnormal macrophage function, mitochondrial dysfunction, and reduced sex hormone secretion. It also identifies metabolic mechanisms such as insulin resistance, vitamin D metabolism abnormalities, dysregulation of iron metabolism, decreased levels of nicotinamide adenine dinucleotide, and gut microbiota imbalances. Additionally, this study also explores the important role of genetic factors, such as alleles and microRNAs, in the co-occurrence of sarcopenia and obesity. A better understanding of these mechanisms is vital for developing clinical interventions and preventive strategies.
Humans
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Sarcopenia/physiopathology*
;
Obesity/physiopathology*
;
Aging/physiology*
;
Autophagy/physiology*
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Insulin Resistance
;
Comorbidity
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Vitamin D/metabolism*
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Gonadal Steroid Hormones/metabolism*
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Gastrointestinal Microbiome
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Mitochondria
;
MicroRNAs
5.Preliminary efficacy and safety of a dose-intensified C5VD regimen in 24 children with locally advanced hepatoblastoma.
Jia-Xin PENG ; Can HUANG ; An-An ZHANG ; Ya-Li HAN ; Hai-Shan RUAN ; Xiao-Xia WANG ; Min XU ; Yuan XIN ; Li-Ting YU ; Zhi-Bao LYU ; Sha-Yi JIANG ; Yi-Jin GAO
Chinese Journal of Contemporary Pediatrics 2025;27(10):1247-1252
OBJECTIVES:
To assess the preliminary efficacy and safety of a dose-intensified C5VD regimen (cisplatin, 5-fluorouracil, vincristine, and doxorubicin) in children with locally advanced hepatoblastoma.
METHODS:
This prospective study enrolled 24 children with newly diagnosed, locally advanced hepatoblastoma who received the dose-intensified C5VD regimen at Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, and Shanghai Children's Hospital between January 2020 and December 2023. Clinical characteristics, treatment outcomes, and chemotherapy-related toxicities were analyzed.
RESULTS:
Of the 24 patients, 13 were male and 11 were female, with a median age at diagnosis of 18.7 months (range: 3.5-79.4 months). All patients achieved complete macroscopic resection of hepatic lesions without liver transplantation. Serum alpha-fetoprotein levels decreased significantly after two chemotherapy cycles. During a median follow-up of 38.4 months (range: 15.8-50.7 months), all patients maintained continuous complete remission, with 3-year event-free survival and overall survival rates of 100%. Across 144 chemotherapy cycles, the incidence rates of grade 3-4 neutropenia, thrombocytopenia, and infections were 97%, 77%, and 71%, respectively; no treatment-related deaths occurred. Notably, 5 patients (21%) developed Brock grade ≥3 hearing loss, of whom 1 required a hearing aid.
CONCLUSIONS
The dose-intensified C5VD regimen demonstrates significant efficacy with an overall favorable safety profile in the treatment of newly diagnosed, locally advanced pediatric hepatoblastoma. Grade 3-4 myelosuppression and infection are the predominant toxicities. However, high‑dose cisplatin-induced ototoxicity remains a concern, highlighting the need for improved otoprotective strategies.
Humans
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Hepatoblastoma/pathology*
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Male
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Female
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Infant
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Liver Neoplasms/pathology*
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Antineoplastic Combined Chemotherapy Protocols/therapeutic use*
;
Child, Preschool
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Prospective Studies
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Doxorubicin/adverse effects*
;
Child
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Cisplatin/adverse effects*
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Vincristine/adverse effects*
;
Fluorouracil/adverse effects*
6.Optineurin restrains CCR7 degradation to guide type II collagen-stimulated dendritic cell migration in rheumatoid arthritis.
Wenxiang HONG ; Hongbo MA ; Zhaoxu YANG ; Jiaying WANG ; Bowen PENG ; Longling WANG ; Yiwen DU ; Lijun YANG ; Lijiang ZHANG ; Zhibin LI ; Han HUANG ; Difeng ZHU ; Bo YANG ; Qiaojun HE ; Jiajia WANG ; Qinjie WENG
Acta Pharmaceutica Sinica B 2025;15(3):1626-1642
Dendritic cells (DCs) serve as the primary antigen-presenting cells in autoimmune diseases, like rheumatoid arthritis (RA), and exhibit distinct signaling profiles due to antigenic diversity. Type II collagen (CII) has been recognized as an RA-specific antigen; however, little is known about CII-stimulated DCs, limiting the development of RA-specific therapeutic interventions. In this study, we show that CII-stimulated DCs display a preferential gene expression profile associated with migration, offering a new perspective for targeting DC migration in RA treatment. Then, saikosaponin D (SSD) was identified as a compound capable of blocking CII-induced DC migration and effectively ameliorating arthritis. Optineurin (OPTN) is further revealed as a potential SSD target, with Optn deletion impairing CII-pulsed DC migration without affecting maturation. Function analyses uncover that OPTN prevents the proteasomal transport and ubiquitin-dependent degradation of C-C chemokine receptor 7 (CCR7), a pivotal chemokine receptor in DC migration. Optn-deficient DCs exhibit reduced CCR7 expression, leading to slower migration in CII-surrounded environment, thus alleviating arthritis progression. Our findings underscore the significance of antigen-specific DC activation in RA and suggest OPTN is a crucial regulator of CII-specific DC migration. OPTN emerges as a promising drug target for RA, potentially offering significant value for the therapeutic management of RA.
7.Characterizing tumor nicroenvironment features and identifying potential therapeutic targets in patients with diabetes mellitus and pancreatic cancer based on single-cell transcriptome sequencing
Han PENG ; Yuwei PAN ; Xuesong WANG ; Yixin SUN ; Shuo HUANG ; Houjie LIANG
Journal of Army Medical University 2025;47(10):1069-1080
Objective To investigate the changes in the tumor microenvironment of pancreatic cancer(PDAC)complicated with diabetes mellitus(DM)in a mouse model of hyperglycemia and orthotopic pancreatic cancer by analyzing transcriptome and single-cell transcriptome data in order to identify potential therapeutic targets.Method By integrating single-cell transcriptome and bulk transcriptome data,bioinformatics analysis was conducted to compare the characteristics of tumor cells and tumor immune microenvironment between PDAC patients with DM(DM group)and those without DM(non-DM group).Twenty male C57BL/6 mice(6 weeks old,weighing 18~20 g)were randomly divided into a hyperglycemic group[STZ group,continuous intraperitoneal injection of 50 mg/kg streptozocin(STZ)(final concentration of 1%)dissolved in citrate buffer],and a control group(Control group,an equivalent volume of citrate buffer without STZ at the same time points),with 10 mice in each group.Tail-tip blood glucose level was measured to monitor glycemic status.After orthotopic inoculation of pancreatic cancer cells in both Control and STZ groups,tumor-infiltrating immune cells were harvested.Flow cytometry was employed to determine the effects of hyperglycemia on:total CD8+T cell and Treg cell populations;CD8+T cell subsets expressing Ki67,TNF-α,granzyme B(GZMB)and IFN-γ;surface expression of PD-1,lymphocyte activation gene-3(LAG-3)and T cell immunoglobulin and mucin domain-3(Tim-3)on CD8+T cells;programmed death-ligand 1(PD-L1)expression on tumor cells;and tumor-associated macrophage surface expression of major histocompatibility complex classⅠ(MHC-Ⅰ)and cluster of differentiation 206(CD206).Results Bioinformatics analysis revealed that,compared to the non-DM group,the genes significantly up-regulated in the DM group were associated with poor prognosis(P<0.001).The proportion of type 2 ductal cells was increased in the DM group,exhibiting higher levels of copy number variation(P<0.001).In the tumor immune microenvironment of the DM group,there was an increase in the proportion of Treg cells(P<0.05)and an elevated exhaustion score for CD8+T cells(P<0.001),accompanied by down-regulated expression of effector molecules,up-regulated expression of inhibitory checkpoints,and a significant increase in the M2 score of M2-like macrophages(P<0.001).Animal experiments and flow cytometry found that,compared to the Control group,the STZ group had a shorter survival time(P<0.001),with decreased proportions of total CD8+T cells(P<0.01)and CD8+T cells expressing Ki67,TNF-α,GZMB and IFN-γ(P<0.01),increased proportion of Treg cells(P<0.001),up-regulated expression of PD-1,LAG-3 and Tim-3 on the surface of CD8+T cells(P<0.001),and up-regulation of PD-L1 on tumor cell surface(P<0.001)and enhanced expression of CD206 on the surface of tumor-associated macrophages,while down-regulated expression of MHC-Ⅰ(P<0.001).Conclusion High glucose promotes the formation of an immunosuppressive microenvironment in PDAC,and targeting type 2 ductal cells and immunosuppressive cells in the tumor microenvironment,combined with dual immune checkpoint antibody therapy,may improve patient prognosis.
8.Advances in deep learning algorithms for brain age prediction
Jianhao LIAO ; Kai WU ; Jiayuan HUANG ; Rui HAN ; Runlin PENG ; Jing ZHOU
Chinese Journal of Medical Physics 2025;42(1):122-127
Brain age prediction is of great significance to the in-depth understanding of individual neurodevelopment,early diagnosis of neuropsychiatric disorders,and formulation of personalized treatment plans. With the continuous advancement of deep learning,more and more researches focus on using such algorithms to predict brain age. Compared with traditional regression algorithms,deep learning which has the advantages of complex pattern learning,end-to-end learning and high adaptability can more accurately reveal the neuropathological mechanisms of neuropsychiatric disorders,and provide more precise tools for clinical assessment,assisted diagnosis and prognosis prediction. Herein the study reviews the recent advances in the application of deep learning algorithms in brain age prediction,introduces the achievements in deep learning model optimization,multimodal data inputs and interpretability studies for brain age prediction,discusses the methods for the establishment of integrated deep learning architectures and the future challenges of developing unified benchmarking,and provides an outlook on the application of deep learning in brain age prediction.
9.Bilirubin encephalopathy leads to PARP-1-dependent cell death in the hippocampus of neonatal rats
Junnan HU ; Han LI ; Qiyi HUANG ; Anni PENG ; Yuyuan NIU ; Heng TAN ; Kun DU ; Qian WANG
Chinese Journal of Neuroanatomy 2025;41(5):606-612
Objective:To investigate the role and underlying mechanism of parthanatos death in neonatal SD rats with bilirubin encephalopathy(BE).Methods:Eighty 3-day-old neonatal SD rats were selected and randomly divided into control group and BE group.The BE model was established by intraperitoneal injection of bilirubin solution,and the pathological changes in the hippocampus were observed by hematoxylin-eosin(HE)staining and Nissl staining.The protein expressions of the phosphorylation of the core histone protein H2AX(termed gamma H2AX),poly ADP-ribose polymerasw-1(PARP-1)and apoptosis-inducing factor(AIF)in hippocampus were detected by Western blot.Immuno-fluorescence staining was used to detect the expression and distribution of AIF in hippocampus.Results:Compared with the control group,neonatal SD rats developed jaundice 12 hours after bilirubin injection,accompanied by slow weight gain.HE staining and Nissl staining showed that the hippocampus in BE group were damaged and the content of Nissl bodies was decreased.Western blot results showed that the expression of γ-H2AX protein in hippocampus began to increase at 72 h after modeling(P<0.05),and the levels of PARP-1 and AIF protein in hippocampus increased signif-icantly at 72 h after modeling(P<0.05).Immunofluorescence staining showed increased AIF expression and nuclear translocation.Conclusion:Intraperitoneal injection of bilirubin can induce DNA damage in hippocampal neurons of neonatal SD rats and activate the PARP-1/AIF pathway to cause parthanatos death of hippocampal neurons.
10.Jiaotai pill and its main component enhance islet hormone secretion in type 2 diabetic rats by activating the THP1/TGase2/SERT/5-HT1FRpathway
Hongcui Han ; Xiaobin Huang ; Yanyi Li ; Peng Wang ; Qing Mao ; Yujie Zhang
Journal of Traditional Chinese Medical Sciences 2025;2025(3):402-414
ObjectiveTo investigate the relationship between Jiaotai pill (JTP), its main component berberine (BBR), and the serotonin (5-HT) system in regulating islet hormone secretion and alleviating pancreatic β-cell dysfunction during type 2 diabetes mellitus (T2DM) progression.MethodsT2DM rat model was established using a high-fat diet and streptozotocin injection. JTP, BBR, and Metformin were intragastrically administered for 35 days. The analyzed indices included blood glucose, blood lipids, islet hormones, and proteins related to 5-HT synthesis, secretion, and transport. Additionally, an in vitro model of glucose injury in islet cells was established to study the effects of JTP and BBR on islet hormone secretion following tryptophan hydroxylase 1 (TPH1) inhibition.ResultsJTP and BBR significantly improved blood glucose and lipid levels and islet morphology in T2DM rats. Both models exhibited reduced islet 5-HT levels and impaired islet hormone secretion. However, the administration of JTP and BBR reversed these effects. Furthermore, JTP and BBR upregulated the expression of TPH1(P = .0194, P = .0413) transglutaminase 2 (TGase2; P = .0492, P = .0349), serotonin transporter (SERT, P = .0090), and 5- hydroxytryptamine 1F receptor (5-HT1FR) in the islet 5-HT pathway (P = .0194). In the cell model, the regulatory effects of JTP and BBR on islet hormone levels were significantly weakened after TPH1 inhibition (P = .001), suggesting that JTP and BBR influence islet hormone secretion through the pancreatic 5-HT system.ConclusionThe islet 5-HT system is correlated with islet hormone secretion dysfunction in T2DM. JTP and BBR can improve islet hormone secretion by activating the TPH1/TGase2/SERT/5-HT1FR pathway in the islet 5-HT system in T2DM rats.


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