1.Single-cell and Spatial Omics Technologies:Deciphering The Process of Animal Skeletal Muscle Development
Ming-Fu XIONG ; Si-Yuan KONG ; Yong-Sheng ZHANG
Chinese Journal of Biochemistry and Molecular Biology 2025;41(11):1566-1578
As an important tissue of the body(accounting for approximately 40%of body weight),skel-etal muscle is composed of various cell types such as muscle fibers,muscle stem cells,and endothelial cells.It participates in physiological processes including movement,energy metabolism,and internal en-vironment homeostasis through temporal and spatial specific regulation.Its development is divided into two critical stages:embryonic and postnatal periods.Abnormal development can lead to diseases such as muscular dystrophy and directly affect the yield and quality of livestock meat.In recent years,the combi-nation of single-cell transcriptomics(scRNA-seq)and spatial omics(single-cell spatial omics technolo-gy)has provided a high-resolution research tool for analyzing the spatiotemporal dynamic regulatory net-work and intercellular interactions in skeletal muscle development.This article reviews the molecular mechanisms of skeletal muscle development and its application value in animal husbandry breeding,and systematically combs the research progress,analysis processes,data resources,and future directions of single-cell omics,spatial omics,and single-cell spatial omics technology in skeletal muscle development.Among them,single-cell omics can reveal the heterogeneity of skeletal muscle cells,myofiber differentia-tion trajectories in different livestock and poultry(such as cattle,pigs,and Tibetan chickens)through methods like pseudotime analysis and RNA velocity analysis.Furthermore,single-cell omics can identify key transcription factors(e.g.,MYF5,MYOD1)and cell communication pathways(e.g.,FGF7-FG-FR2),and simultaneously clarify the molecular differences in myoblast differentiation timing and cell composition ratio among different breeds.Relying on technologies such as Visium and Seq-Scope,spatial omics realizes the spatial localization of gene expression in pathological models of mice,Atlantic salmon,and broiler chickens.Spatial omics also clarifies the spatial distribution laws of neuromuscular junction region-specific genes and inflammation-fibrosis cascade reactions,and makes up for the defect of losing spatial context in single-cell technology.Although there are limited direct application cases of single-cell spatial omics technology,it has already analyzed the abnormal fate of myoblasts in facioscapulohumeral muscular dystrophy through MERFISH technology.In terms of technology selection,it is necessary to consider research objectives,molecular modalities,and resolution requirements.At the same time,data analysis needs to address challenges such as data sparsity through methods like DCA denoising and RCTD cell type mapping.In addition,this article summarizes 16 muscle development-related databases inclu-ding HCA and PanglaoDB.This review further discusses the potential applications of these three types of technologies in the directional regulation of myoblast fate,precise intervention in the growth cycle,im-provement of microenvironment interactions,and the development of multi-omics genetic breeding mod-els.This paper is providing a more comprehensive and detailed theoretical reference and technical sup-port for basic research on skeletal muscle development and practical applications in the animal husbandry industry.
2.Research progress on calcium activities in astrocyte microdomains.
Fu-Sheng DING ; Si-Si YANG ; Liang ZHENG ; Dan MU ; Zhu HUANG ; Jian-Xiong ZHANG
Acta Physiologica Sinica 2025;77(3):534-544
Astrocytes are a crucial type of glial cells in the central nervous system, not only maintaining brain homeostasis, but also actively participating in the transmission of information within the brain. Astrocytes have a complex structure that includes the soma, various levels of processes, and end-feet. With the advancement of genetically encoded calcium indicators and imaging technologies, researchers have discovered numerous localized and small calcium activities in the fine processes and end-feet. These calcium activities were termed as microdomain calcium activities, which significantly differ from the calcium activities in the soma and can influence the activity of local neurons, synapses, and blood vessels. This article elaborates the detection and analysis, characteristics, sources, and functions of microdomain calcium activities, and discusses the impact of aging and neurodegenerative diseases on these activities, aiming to enhance the understanding of the role of astrocytes in the brain and to provide new insights for the treatment of brain disorders.
Astrocytes/cytology*
;
Humans
;
Animals
;
Calcium/metabolism*
;
Calcium Signaling/physiology*
;
Brain/physiology*
;
Aging/physiology*
;
Membrane Microdomains/physiology*
;
Neurodegenerative Diseases/physiopathology*
3.CURRENT DISTRIBUTION OF AEDES AEGYPTI IN LEIZHOU PENINSULA,ZHANJIANG CITY,GUANGDONG PROVINCE
Rui-Peng LU ; Jin-Hua DUAN ; Yu-Wen ZHONG ; Hui DENG ; Jun WU ; Li-Ping LIU ; Wei-Xiong YIN ; Feng XING ; Hui HUANG ; Chang-Jie FU ; Zong-Jing CHEN ; Ming-Ji CHENG ; Sheng-Jun HU ; Ya-Ting CHEN ; Wen-Ting GUO ; Li-Feng LIN
Acta Parasitologica et Medica Entomologica Sinica 2025;32(1):16-21
Objective To investigate the status of population dynamics and distribution changes of Aedes aegypti in Guangdong Province.Methods Continuous monitoring was conducted from May 2018 to July 2024 in Wushi Town and Qishui Town,Leizhou City,Zhanjiang City,Guangdong Province.Additionally,a survey of the distribution of Ae.aegypti along the Leizhou Peninsula coast was carried out.Results The density of Ae.aegypti in Zhanjiang showed a gradual decline from 2018 to 2024.The last detection of adult Ae.aegypti in Wushi Town was in September 2021,and the last larva was found in October 2023.No Ae.aegypti was detected in Qishui Town during surveys from 2021 to 2024.A survey of 18 coastal villages in the Leizhou Peninsula revealed no detections of Ae.aegypti.Conclusions This study provides a basis for understanding the distribution and population density fluctuations of Ae.aegypti,assessing its invasion risk,and scientifically conducting relevant prevention and control efforts.
4.Diagnosis and Treatment of a Case of Spironolactone-Associated Asymptomatic Hyperuricemia After Renal Transplantation
Yun XIAO ; Xiaoyu HAN ; Chao ZHENG ; Yu FU ; Hanbin XIONG ; Bin ZOU ; Baolin WANG ; Hua ZOU ; Chenglong YIN ; Zhengyao JIANG ; Sheng ZOU ; Anle DU ; Guohui LI ; Xiaohui GUO ; Lin ZHONG ; Jiake HE
Herald of Medicine 2025;44(10):1562-1565
Objective To explore the identification method,pathogenesis,clinical characteristics and individualized pharmacotherapy of asymptomatic hyperuricemia after renal transplantation.Methods The pharmacist was on duty at the organ transplant outpatient clinic.During this time,they analyzed and sorted out the medications,identified and differentiated a case of asymptomatic hyperuricemia related to spironolactone in a patient who had undergone a renal transplant,and provided comprehensive care throughout the entire process.Results The asymptomatic hyperuricemia in this patient might be associated with spironolactone,and the adverse reactions of the patient were alleviated by pharmacists through optimizing clinical treatment.Up to now,no hyperuricemia occurred.Conclusions Pharmacists are required to collaborate closely with clinicians to establish medication profiles for patients under long-term follow-up and to closely monitor and evaluate drug-related adverse reactions.Additionally,they should assess the renal function and immune status of transplant recipients promptly and formulate individualized treatment plans in order to enhance the long-term survival of both the transplanted kidneys and the recipients.
5.Diagnosis and Treatment of a Case of Spironolactone-Associated Asymptomatic Hyperuricemia After Renal Transplantation
Yun XIAO ; Xiaoyu HAN ; Chao ZHENG ; Yu FU ; Hanbin XIONG ; Bin ZOU ; Baolin WANG ; Hua ZOU ; Chenglong YIN ; Zhengyao JIANG ; Sheng ZOU ; Anle DU ; Guohui LI ; Xiaohui GUO ; Lin ZHONG ; Jiake HE
Herald of Medicine 2025;44(10):1562-1565
Objective To explore the identification method,pathogenesis,clinical characteristics and individualized pharmacotherapy of asymptomatic hyperuricemia after renal transplantation.Methods The pharmacist was on duty at the organ transplant outpatient clinic.During this time,they analyzed and sorted out the medications,identified and differentiated a case of asymptomatic hyperuricemia related to spironolactone in a patient who had undergone a renal transplant,and provided comprehensive care throughout the entire process.Results The asymptomatic hyperuricemia in this patient might be associated with spironolactone,and the adverse reactions of the patient were alleviated by pharmacists through optimizing clinical treatment.Up to now,no hyperuricemia occurred.Conclusions Pharmacists are required to collaborate closely with clinicians to establish medication profiles for patients under long-term follow-up and to closely monitor and evaluate drug-related adverse reactions.Additionally,they should assess the renal function and immune status of transplant recipients promptly and formulate individualized treatment plans in order to enhance the long-term survival of both the transplanted kidneys and the recipients.
6.Single-cell and Spatial Omics Technologies:Deciphering The Process of Animal Skeletal Muscle Development
Ming-Fu XIONG ; Si-Yuan KONG ; Yong-Sheng ZHANG
Chinese Journal of Biochemistry and Molecular Biology 2025;41(11):1566-1578
As an important tissue of the body(accounting for approximately 40%of body weight),skel-etal muscle is composed of various cell types such as muscle fibers,muscle stem cells,and endothelial cells.It participates in physiological processes including movement,energy metabolism,and internal en-vironment homeostasis through temporal and spatial specific regulation.Its development is divided into two critical stages:embryonic and postnatal periods.Abnormal development can lead to diseases such as muscular dystrophy and directly affect the yield and quality of livestock meat.In recent years,the combi-nation of single-cell transcriptomics(scRNA-seq)and spatial omics(single-cell spatial omics technolo-gy)has provided a high-resolution research tool for analyzing the spatiotemporal dynamic regulatory net-work and intercellular interactions in skeletal muscle development.This article reviews the molecular mechanisms of skeletal muscle development and its application value in animal husbandry breeding,and systematically combs the research progress,analysis processes,data resources,and future directions of single-cell omics,spatial omics,and single-cell spatial omics technology in skeletal muscle development.Among them,single-cell omics can reveal the heterogeneity of skeletal muscle cells,myofiber differentia-tion trajectories in different livestock and poultry(such as cattle,pigs,and Tibetan chickens)through methods like pseudotime analysis and RNA velocity analysis.Furthermore,single-cell omics can identify key transcription factors(e.g.,MYF5,MYOD1)and cell communication pathways(e.g.,FGF7-FG-FR2),and simultaneously clarify the molecular differences in myoblast differentiation timing and cell composition ratio among different breeds.Relying on technologies such as Visium and Seq-Scope,spatial omics realizes the spatial localization of gene expression in pathological models of mice,Atlantic salmon,and broiler chickens.Spatial omics also clarifies the spatial distribution laws of neuromuscular junction region-specific genes and inflammation-fibrosis cascade reactions,and makes up for the defect of losing spatial context in single-cell technology.Although there are limited direct application cases of single-cell spatial omics technology,it has already analyzed the abnormal fate of myoblasts in facioscapulohumeral muscular dystrophy through MERFISH technology.In terms of technology selection,it is necessary to consider research objectives,molecular modalities,and resolution requirements.At the same time,data analysis needs to address challenges such as data sparsity through methods like DCA denoising and RCTD cell type mapping.In addition,this article summarizes 16 muscle development-related databases inclu-ding HCA and PanglaoDB.This review further discusses the potential applications of these three types of technologies in the directional regulation of myoblast fate,precise intervention in the growth cycle,im-provement of microenvironment interactions,and the development of multi-omics genetic breeding mod-els.This paper is providing a more comprehensive and detailed theoretical reference and technical sup-port for basic research on skeletal muscle development and practical applications in the animal husbandry industry.
7.Analysis of influencing factors of early femoral head necrosis after femoral neck fracture and construction of nomo-gram prediction model
Zhi-Qiang FU ; Wei WANG ; Fei-Xiong HE ; Sheng-Kun HONG ; Wei-Jun ZHOU
China Journal of Orthopaedics and Traumatology 2024;37(7):694-699
Objective To explore the risk factors of early femoral head necrosis in patients with femoral neck fracture after operation,and to establish a nomogram prediction model.Methods A total of 167 patients with femoral neck fracture from Jan-uary 2020 to April 2022 were selected and divided into necrosis group and non-necrosis group according to whether femoral head necrosis occurred in the early postoperative period.There were 21 males and 17 females in the necrosis group,aged from 33 to 72 years old,with an average of(53.49±10.96)years old,and the time from injury to operation ranged from 40 to 67 hours,with average time of(53.46±7.23)hours.There were 72 males and 57 females in the non-necrosis group,aged from 18 to 83 years,with an average of(52.78±12.55)years old,and the time from injury to operation was 18 to 65 hours,with an aver-age time of(39.88±7.79)hours.The potential influencing factors,including patient gender,diabetes mellitus,hypertension,chronic liver disease,posterior inclination angle of the femoral head,operation mode,fracture displacement,fracture line loca-tion,preoperative braking traction,screw arrangement mode,reduction quality,age,body mass index(BMI),and injury to operation time were subjected to single factor analysis.Logistic multivariate regression analysis was conducted for factors with a significance level of P<0.05.Results The incidence of femoral head necrosis in 167 patients with femoral neck fracture was 22.76%.The following factors were identified as independent risk factors for early postoperative femoral head necrosis in pa-tients with femoral neck fractures:coexisting diabetes[OR=5.139,95%CI(1.405,18.793),P=0.013],displaced fracture[OR=3.723,95%CI(1.105,12.541),P=0.034],preoperative immobilization[OR=3.444,95%CI(1.038,11.427),P=0.043],quality of reduction[OR=3.524,95%CI(1.676,7.411),P=0.001],and time from injury to surgery[OR=1.270,95%CI(1.154,1.399),P=0.000].The Hosmer-Lemeshow goodness-of-fit test(x2=3.951,P=0.862),the area under the receiver operator characteristic(ROC)curve was 0.944[P<0.001,95%CI(0.903,0.987)],with a sensitivity of 89.50%,the specificity was 88.40%,the maxi-mum Youden index was 0.779,and the overall trend of the model correction curve was close to the ideal curve.Model regres-sion equation was Z=1.637 × diabetes+1.314× fracture displacement+1.237 × preoperative braking traction+1.260 × reduc-tion quality+0.239 ×injury to operation time-18.310.Conclusion The occurrence of early femoral head necrosis in patients with femoral neck fracture postoperatively is affected by multiple factors.The risk early warning model established according to the factors has good predictive efficacy.
8.Artificial intelligence predicts direct-acting antivirals failure among hepatitis C virus patients: A nationwide hepatitis C virus registry program
Ming-Ying LU ; Chung-Feng HUANG ; Chao-Hung HUNG ; Chi‐Ming TAI ; Lein-Ray MO ; Hsing-Tao KUO ; Kuo-Chih TSENG ; Ching-Chu LO ; Ming-Jong BAIR ; Szu-Jen WANG ; Jee-Fu HUANG ; Ming-Lun YEH ; Chun-Ting CHEN ; Ming-Chang TSAI ; Chien-Wei HUANG ; Pei-Lun LEE ; Tzeng-Hue YANG ; Yi-Hsiang HUANG ; Lee-Won CHONG ; Chien-Lin CHEN ; Chi-Chieh YANG ; Sheng‐Shun YANG ; Pin-Nan CHENG ; Tsai-Yuan HSIEH ; Jui-Ting HU ; Wen-Chih WU ; Chien-Yu CHENG ; Guei-Ying CHEN ; Guo-Xiong ZHOU ; Wei-Lun TSAI ; Chien-Neng KAO ; Chih-Lang LIN ; Chia-Chi WANG ; Ta-Ya LIN ; Chih‐Lin LIN ; Wei-Wen SU ; Tzong-Hsi LEE ; Te-Sheng CHANG ; Chun-Jen LIU ; Chia-Yen DAI ; Jia-Horng KAO ; Han-Chieh LIN ; Wan-Long CHUANG ; Cheng-Yuan PENG ; Chun-Wei- TSAI ; Chi-Yi CHEN ; Ming-Lung YU ;
Clinical and Molecular Hepatology 2024;30(1):64-79
Background/Aims:
Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy.
Methods:
We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment.
Results:
The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset.
Conclusions
Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.
9.Morinda officinalis oligosaccharides increase serotonin in the brain and ameliorate depression via promoting 5-hydroxytryptophan production in the gut microbiota.
Zheng-Wei ZHANG ; Chun-Sheng GAO ; Heng ZHANG ; Jian YANG ; Ya-Ping WANG ; Li-Bin PAN ; Hang YU ; Chi-Yu HE ; Hai-Bin LUO ; Zhen-Xiong ZHAO ; Xin-Bo ZHOU ; Yu-Li WANG ; Jie FU ; Pei HAN ; Yu-Hui DONG ; Gang WANG ; Song LI ; Yan WANG ; Jian-Dong JIANG ; Wu ZHONG
Acta Pharmaceutica Sinica B 2022;12(8):3298-3312
Morinda officinalis oligosaccharides (MOO) are an oral drug approved in China for the treatment of depression in China. However, MOO is hardly absorbed so that their anti-depressant mechanism has not been elucidated. Here, we show that oral MOO acted on tryptophan → 5-hydroxytryptophan (5-HTP) → serotonin (5-HT) metabolic pathway in the gut microbiota. MOO could increase tryptophan hydroxylase levels in the gut microbiota which accelerated 5-HTP production from tryptophan; meanwhile, MOO inhibited 5-hydroxytryptophan decarboxylase activity, thus reduced 5-HT generation, and accumulated 5-HTP. The raised 5-HTP from the gut microbiota was absorbed to the blood, and then passed across the blood-brain barrier to improve 5-HT levels in the brain. Additionally, pentasaccharide, as one of the main components in MOO, exerted the significant anti-depressant effect through a mechanism identical to that of MOO. This study reveals for the first time that MOO can alleviate depression via increasing 5-HTP in the gut microbiota.
10.Anatomical characteristics of patients with symptomatic severe aortic stenosis in China.
Tian-Yuan XIONG ; Yi-Ming LI ; Yi-Jun YAO ; Yu-Heng JIA ; Kai XU ; Zhen-Fei FANG ; Jun JIN ; Guo-Sheng FU ; Yi-Ning YANG ; Lei JIANG ; Wei-Dong LI ; Yan-Qing WU ; Yan-Song GUO ; Ran GUO ; Yun-Dai CHEN ; Yi LI ; Yi-Bing SHAO ; Yi ZHANG ; Bo-Sen YANG ; Yi-Ke ZHANG ; Jing-Jing HE ; Kai-Yu JIA ; Sheng-Hu HE ; Fa-Xin REN ; Jian-Cheng XIU ; Xing-Hua GU ; Liang-Long CHEN ; Ke HAN ; Yuan FENG ; Mao CHEN
Chinese Medical Journal 2021;134(22):2738-2740

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