1.Autophagy in Oligodendrocyte Lineage Cells Controls Oligodendrocyte Numbers and Myelin Integrity in an Age-dependent Manner.
Hong CHEN ; Gang YANG ; De-En XU ; Yu-Tong DU ; Chao ZHU ; Hua HU ; Li LUO ; Lei FENG ; Wenhui HUANG ; Yan-Yun SUN ; Quan-Hong MA
Neuroscience Bulletin 2025;41(3):374-390
Oligodendrocyte lineage cells, including oligodendrocyte precursor cells (OPCs) and oligodendrocytes (OLs), are essential in establishing and maintaining brain circuits. Autophagy is a conserved process that keeps the quality of organelles and proteostasis. The role of autophagy in oligodendrocyte lineage cells remains unclear. The present study shows that autophagy is required to maintain the number of OPCs/OLs and myelin integrity during brain aging. Inactivation of autophagy in oligodendrocyte lineage cells increases the number of OPCs/OLs in the developing brain while exaggerating the loss of OPCs/OLs with brain aging. Inactivation of autophagy in oligodendrocyte lineage cells impairs the turnover of myelin basic protein (MBP). It causes MBP to accumulate in the cytoplasm as multimeric aggregates and fails to be incorporated into integral myelin, which is associated with attenuated endocytic recycling. Inactivation of autophagy in oligodendrocyte lineage cells impairs myelin integrity and causes demyelination. Thus, this study shows autophagy is required to maintain myelin quality during aging by controlling the turnover of myelin components.
Animals
;
Autophagy/physiology*
;
Oligodendroglia/metabolism*
;
Myelin Sheath/physiology*
;
Aging/pathology*
;
Myelin Basic Protein/metabolism*
;
Cell Lineage/physiology*
;
Mice
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Oligodendrocyte Precursor Cells
;
Mice, Inbred C57BL
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Brain/cytology*
;
Cells, Cultured
;
Cell Count
2.Correction to: Autophagy in Oligodendrocyte Lineage Cells Controls Oligodendrocyte Numbers and Myelin Integrity in an Age-dependent Manner.
Hong CHEN ; Gang YANG ; De-En XU ; Yu-Tong DU ; Chao ZHU ; Hua HU ; Li LUO ; Lei FENG ; Wenhui HUANG ; Yan-Yun SUN ; Quan-Hong MA
Neuroscience Bulletin 2025;41(3):547-548
3.Tailoring a traditional Chinese medicine prescription for complex diseases: A novel multi-targets-directed gradient weighting strategy.
Zhe YU ; Teng LI ; Zhi ZHENG ; Xiya YANG ; Xin GUO ; Xindi ZHANG ; Haoying JIANG ; Lin ZHU ; Bo YANG ; Yang WANG ; Jiekun LUO ; Xueping YANG ; Tao TANG ; En HU
Journal of Pharmaceutical Analysis 2025;15(4):101199-101199
Traditional Chinese medicine (TCM) exerts integrative effects on complex diseases owing to the characteristics of multiple components with multiple targets. However, the syndrome-based system of diagnosis and treatment in TCM can easily lead to bias because of varying medication preferences among physicians, which has been a major challenge in the global acceptance and application of TCM. Therefore, a standardized TCM prescription system needs to be explored to promote its clinical application. In this study, we first developed a gradient weighted disease-target-herbal ingredient-herb network to aid TCM formulation. We tested its efficacy against intracerebral hemorrhage (ICH). First, the top 100 ICH targets in the GeneCards database were screened according to their relevance scores. Then, SymMap and Traditional Chinese Medicine Systems Pharmacology (TCMSP) databases were applied to find out the target-related ingredients and ingredient-containing herbs, respectively. The relevance of the resulting ingredients and herbs to ICH was determined by adding the relevance scores of the corresponding targets. The top five ICH therapeutic herbs were combined to form a tailored TCM prescriptions. The absorbed components in the serum were detected. In a mouse model of ICH, the new prescription exerted multifaceted effects, including improved neurological function, as well as attenuated neuronal damage, cell apoptosis, vascular leakage, and neuroinflammation. These effects matched well with the core pathological changes in ICH. The multi-targets-directed gradient-weighting strategy presents a promising avenue for tailoring precise, multipronged, unbiased, and standardized TCM prescriptions for complex diseases. This study provides a paradigm for advanced achievements-driven modern innovation in TCM concepts.
4.Association between ABO Blood Types and the Risk of Gestational Diabetes Mellitus: A Prospective Cohort Study.
Shuang Hua XIE ; Shuang Ying LI ; Shao Fei SU ; En Jie ZHANG ; Shen GAO ; Yue ZHANG ; Jian Hui LIU ; Min Hui HU ; Rui Xia LIU ; Wen Tao YUE ; Cheng Hong YIN
Biomedical and Environmental Sciences 2025;38(6):678-692
OBJECTIVE:
To investigate the association between ABO blood types and gestational diabetes mellitus (GDM) risk.
METHODS:
A prospective birth cohort study was conducted. ABO blood types were determined using the slide method. GDM diagnosis was based on a 75-g, 2-h oral glucose tolerance test (OGTT) according to the criteria of the International Association of Diabetes and Pregnancy Study Groups. Logistic regression was applied to calculate the odds ratios ( ORs) and 95% confidence intervals ( CIs) between ABO blood types and GDM risk.
RESULTS:
A total of 30,740 pregnant women with a mean age of 31.81 years were enrolled in this study. The ABO blood types distribution was: type O (30.99%), type A (26.58%), type B (32.20%), and type AB (10.23%). GDM was identified in 14.44% of participants. Using blood type O as a reference, GDM risk was not significantly higher for types A ( OR = 1.05) or B ( OR = 1.04). However, women with type AB had a 19% increased risk of GDM ( OR = 1.19, 95% CI = 1.05-1.34; P < 0.05), even after adjusting for various factors. This increased risk for type AB was consistent across subgroup and sensitivity analyses.
CONCLUSION
The ABO blood types may influence GDM risk, with type AB associated with a higher risk. Incorporating it-either as a single risk factor or in combination with other known factors-could help identify individuals at risk for GDM before or during early pregnancy.
Humans
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Female
;
Pregnancy
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Diabetes, Gestational/etiology*
;
ABO Blood-Group System
;
Adult
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Prospective Studies
;
Risk Factors
;
Young Adult
5.Xuefu Zhuyu Decoction Improves Blood-Brain Barrier Integrity in Acute Traumatic Brain Injury Rats via Regulating Adenosine.
Yang WANG ; Qiu-Ju YAN ; En HU ; Yao WU ; Ruo-Qi DING ; Quan CHEN ; Meng-Han CHENG ; Xi-Ya YANG ; Tao TANG ; Teng LI
Chinese journal of integrative medicine 2025;31(7):624-634
OBJECTIVE:
To explore the neuroprotective effects of Xuefu Zhuyu Decoction (XFZYD) based on in vivo and metabolomics experiments.
METHODS:
Traumatic brain injury (TBI) was induced via a controlled cortical impact (CCI) method. Thirty rats were randomly divided into 3 groups (10 for each): sham, CCI and XFZYD groups (9 g/kg). The administration was performed by intragastric administration for 3 days. Neurological functions tests, histology staining, coagulation and haemorheology assays, and Western blot were examined. Untargeted metabolomics was employed to identify metabolites. The key metabolite was validated by enzyme-linked immunosorbent assay and immunofluorescence.
RESULTS:
XFZYD significantly alleviated neurological dysfunction in CCI model rats (P<0.01) but had no impact on coagulation function. As evidenced by Evans blue and IgG staining, XFZYD effectively prevented blood-brain barrier (BBB) disruption (P<0.05, P<0.01). Moreover, XFZYD not only increased the expression of collagen IV, occludin and zona occludens 1 but also decreased matrix metalloproteinase-9 (MMP-9) and cyclooxygenase-2 (COX-2), which protected BBB integrity (all P<0.05). Nine potential metabolites were identified, and all of them were reversed by XFZYD. Adenosine was the most significantly altered metabolite related to BBB repair. XFZYD significantly reduced the level of equilibrative nucleoside transporter 2 (ENT2) and increased adenosine (P<0.01), which may improve BBB integrity.
CONCLUSIONS
XFZYD ameliorates BBB disruption after TBI by decreasing the levels of MMP-9 and COX-2. Through further exploration via metabolomics, we found that XFZYD may exert a protective effect on BBB by regulating adenosine metabolism via ENT2.
Animals
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Drugs, Chinese Herbal/therapeutic use*
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Blood-Brain Barrier/metabolism*
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Brain Injuries, Traumatic/metabolism*
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Adenosine/metabolism*
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Male
;
Rats, Sprague-Dawley
;
Rats
6.Expert Consensus on the Ethical Requirements for Generative AI-Assisted Academic Writing
You-Quan BU ; Yong-Fu CAO ; Zeng-Yi CHANG ; Hong-Yu CHEN ; Xiao-Wei CHEN ; Yuan-Yuan CHEN ; Zhu-Cheng CHEN ; Rui DENG ; Jie DING ; Zhong-Kai FAN ; Guo-Quan GAO ; Xu GAO ; Lan HU ; Xiao-Qing HU ; Hong-Ti JIA ; Ying KONG ; En-Min LI ; Ling LI ; Yu-Hua LI ; Jun-Rong LIU ; Zhi-Qiang LIU ; Ya-Ping LUO ; Xue-Mei LV ; Yan-Xi PEI ; Xiao-Zhong PENG ; Qi-Qun TANG ; You WAN ; Yong WANG ; Ming-Xu WANG ; Xian WANG ; Guang-Kuan XIE ; Jun XIE ; Xiao-Hua YAN ; Mei YIN ; Zhong-Shan YU ; Chun-Yan ZHOU ; Rui-Fang ZHU
Chinese Journal of Biochemistry and Molecular Biology 2025;41(6):826-832
With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.
7.Differential expression and functional analysis of plasma tRF and tiRNA in collagen-induced arthritis rats
Daiyi CHEN ; Yuqi WEN ; Cailin HE ; En HU ; Zhaoyu YANG ; Xingui XIONG ; Bo YANG
Chinese Journal of Immunology 2025;41(5):1041-1047
Objective:To explore the differentially expressed tRNA-derived RNA fragment(tRF)and tRNA halves(tiRNA)in plasma of collagen-induced arthritis(CIA)rats,analyze the biological functions and related pathways of the tRF and tiRNAs target genes in order to identify new targets for diagnosis and therapy of rheumatoid arthritis(RA).Methods:Rat model of RA was estab-lished by injecting typeⅡ collagen.Arthritis index(AI)score and HE staining were conducted to evaluate the successfully establishment model.Illumina platform was used to obtain the tRF and tiRNA expression profiles.RT-qPCR was performed to validate expressions of tRF and tiRNA.Combining miRanda and TargetScan databases,the target genes of differentially expressed tRF and tiRNA were ob-tained.GO and KEGG enrichment analysis were used to annotate the functions of target genes.Results:A total of 25 tRFs and tiRNAs were significantly differentially expressed in plasma in rats after modeling,of which 23 were up-regulated and 2 were down-regulated.Besides,six specifically expressed tRFs and tiRNAs induced by CIA rats were screened,including Other-36:73-tRNA-Arg-CCT-4,Other-57:70-tRNA-Glu-CTC-1-M3,tRF-1:32-Gly-CCC-1-M2,tRF-1:31-Gly-CCC-1-M2,tRF-1:32-Pro-AGG-1-M4 and tRF-1:32-Glu-TTC-2-M2.GO analysis of target genes mainly involved organelle-associated items.What's more,KEGG analysis enriched multi-ple classical signal pathways associated with RA.Conclusion:Target genes of differentially expressed tRFs and tiRNAs in CIA rats may be involved in regulating important pathophysiological processes of RA and drug therapy targets.
8.Tailoring a traditional Chinese medicine prescription for complex diseases:A novel multi-targets-directed gradient weighting strategy
Zhe YU ; Teng LI ; Zhi ZHENG ; Xiya YANG ; Xin GUO ; Xindi ZHANG ; Haoying JIANG ; Lin ZHU ; Bo YANG ; Yang WANG ; Jiekun LUO ; Xueping YANG ; Tao TANG ; En HU
Journal of Pharmaceutical Analysis 2025;15(4):804-816
Traditional Chinese medicine(TCM)exerts integrative effects on complex diseases owing to the char-acteristics of multiple components with multiple targets.However,the syndrome-based system of diagnosis and treatment in TCM can easily lead to bias because of varying medication preferences among physicians,which has been a major challenge in the global acceptance and application of TCM.Therefore,a standardized TCM prescription system needs to be explored to promote its clinical application.In this study,we first developed a gradient weighted disease-target-herbal ingredient-herb network to aid TCM formulation.We tested its efficacy against intracerebral hemorrhage(ICH).First,the top 100 ICH targets in the GeneCards database were screened according to their relevance scores.Then,SymMap and Traditional Chinese Medicine Systems Pharmacology(TCMSP)databases were applied to find out the target-related ingredients and ingredient-containing herbs,respectively.The relevance of the resulting ingredients and herbs to ICH was determined by adding the relevance scores of the corresponding targets.The top five ICH therapeutic herbs were combined to form a tailored TCM prescriptions.The absorbed components in the serum were detected.In a mouse model of ICH,the new prescription exerted multifaceted effects,including improved neurological function,as well as attenuated neuronal damage,cell apoptosis,vascular leakage,and neuroinflammation.These effects matched well with the core pathological changes in ICH.The multi-targets-directed gradient-weighting strategy presents a promising avenue for tailoring precise,multipronged,unbiased,and standardized TCM prescriptions for complex diseases.This study provides a paradigm for advanced achievements-driven modern innovation in TCM concepts.
9.Influence of Hedgehog signaling pathway activation on calvarial defect healing in type I diabetic mice
WU Yingzhang ; LIU Linan ; LIU Shibo ; HU Pei ; LUO En
Journal of Prevention and Treatment for Stomatological Diseases 2025;33(7):542-553
Objective:
This study aimed to elucidate the mechanisms underlying the impaired bone healing capacity in type 1 diabetes (T1DM) by investigating the role of the Hedgehog (Hh) signaling pathway in the impaired healing of cranial defects caused by T1DM.
Methods:
This study was approved by the experimental animal ethics committee of our hospital. A cranial defect model was established using Akita transgenic mice with spontaneous type I diabetes. The impact of T1DM on osteogenic differentiation and the Hh signaling pathway during cranial defect healing was explored by MicroCT scanning and immunohistochemical (IHC) analysis of osteocalcin (Ocn), Indian Hedgehog (Ihh), Patched1 (Ptch1), and zinc finger protein GLI1 (Gli1). Subsequently, the Hh signaling pathway was activated using smoothened agonist (SAG) (10 mg/kg, gavage), and its potential to improve cranial defect healing in T1DM was assessed by MicroCT and IHC staining. Finally, the ability of SAG (1 000 nmol/L) to counteract the inhibitory effects of a high-glucose environment (25 mol/L) on osteogenic differentiation of mouse bone marrow mesenchymal stem cells (BMSCs) was investigated through in vitro experiments. Detection methods included Alkaline Phosphatase and Alizarin Red staining, as well as quantitative real-time PCR (qPCR) analysis of the osteogenesis-related genes Alp, Spp1, Bglap, and Sp7.
Results:
Akita mice exhibited early, stable, and significant spontaneous T1DM characteristics. On postoperative day 21, the newly formed bone in the cranial defect area of Akita mice showed significant decreases in the bone volume-to-tissue volume ratio, volumetric bone mineral density, and Ocn expression (P < 0.05), with significant downregulation of Ihh, Ptch1, and Gli1 (P < 0.05). Activation of the Hh signaling pathway by SAG significantly mitigated the negative impact of T1DM on cranial defect healing in Akita mice (P < 0.05). Moreover, after SAG treatment, the inhibitory effects of the high-glucose environment on the alkaline phosphatase activity and in vitro mineralization capacity of BMSCs were significantly alleviated (P < 0.05), and the expression levels of osteogenic differentiation-related genes were significantly upregulated (P < 0.05).
Conclusion
T1DM inhibits cranial defect healing in Akita mice by suppressing the expression of the Hh signaling pathway, whereas activation of the Hh signaling pathway promotes osteogenesis and ameliorates the inhibitory effects of T1DM on bone healing.
10.Analysis of risk factors for noncontiguous spinal fractures in the elderly
Shi-lei TANG ; Hong-wen GU ; Yin HU ; Kang-en HAN ; Hai-long YU ; Zhi-hao ZHANG ; Hong-wei WANG
Journal of Regional Anatomy and Operative Surgery 2025;34(2):130-133
Objective To explore the risk factors for noncontiguous spinal fractures(NSFs)in the elderly.Methods The clinical data of 614 elderly patients with spinal fracture from January 2013 to December 2019 were analyzed retrospectively.Patients were divided into the NSFs group and the Non-NSFs group according to whether NSFs occurred or not.Univariate analysis and multivariate Logistic regression analysis were used to screen the risk factors of NSFs.Results Univariate analysis showed that female(P=0.003),high-energy violent injury(P=0.032),osteoporosis(P=0.004),fracture in spring(P=0.020),and previous spinal fracture history(P<0.001)were associated with the occurrence of NSFs.Multivariate Logistic regression analysis showed that fracture in spring(P=0.024),previous spinal fracture history(P<0.001)and high-energy violent injury(P=0.038)were the independent risk factors for the occurrence of NSFs in the elderly.Conclusion High-energy violent injury,fracture in spring and previous spinal fracture history are the independent risk factors for the occurrence of NSFs in the elderly.Therefore,elderly patients with the above risk factors should be examined more carefully and comprehensively to avoid missed diagnosis and delayed diagnosis.In order to reduce the incidence of this disease,corresponding measures should be taken according to the preventable risk factors.


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