1.STUDY ON NOURISHMENT OF CORDYCEPS SINENSIS MYCELIUM
Changkai ZHANG ; Youchun ZHAO ; Zhihong WU ; Yuqian BAI ;
Microbiology 1992;0(03):-
Wild Cordyceps sinensis strain was isolated from Mt. Batang in Yush District of Qinghai Province. Its optimal culture conditions were 1.5% Glucose, 1% malt extract, 1 peptone, 0.5% yeasts extract, pH6.0, temperature 23℃, 5—10% inoculum, vibration velocity 80—90r/min.
2.Mechanism of action and related signaling pathways of long non-coding RNAs in neuroimmuno-inflammatory response after ischemic stroke
Jun WAN ; Yanjie BAI ; Yan WANG ; Shuying CHEN ; Limin CHEN ; Yuqian XIAO ; Kexin SUN
Chinese Journal of Tissue Engineering Research 2024;28(20):3265-3271
BACKGROUND:Long non-coding RNAs(lncRNAs),as important regulators of the inflammatory response,are involved in the immune-inflammation-brain crosstalk mechanism after ischemic stroke and have the potential to become a therapeutic agent for neurological dysfunction after ischemic stroke. OBJECTIVE:To analyze and summarize the molecular mechanism of lncRNA acting on glial cells involved in the neuroimmuno-inflammatory cascade response after ischemic stroke and the associated signaling pathways,pointing out that lncRNAs have the potential to regulate inflammation after ischemic stroke. METHODS:PubMed was searched using the search terms of"ischemic stroke,long non-coding RNA,neuroinflammation,immune function,signal pathway,microglia,astrocytes,oligodendrocyte,mechanism,"and 63 relevant documents were finally included for review. RESULTS AND CONCLUSION:In the early stage of ischemic stroke,the death of nerve cells due to ischemia and hypoxia activates the innate immune response of the brain,promoting the secretion of inflammatory factors and inducing blood-brain barrier damage and a series of inflammatory cascades responses.As an important pathogenesis factor in ischemic stroke,the neuroimmuno-inflammatory cascade has been proved to seriously affect the prognosis of patients with ischemic stroke,and it needs to be suppressed promptly in the early stage.Neuroinflammation after ischemic stroke usually induces abnormal expression of a large number of lncRNAs that mediate a series of neuro-immune-inflammatory crosstalk mechanisms through regulating the polarization of microglia,astrocytes and oligodendrocytes to exert post-stroke neuroprotective effects.LncRNAs,as important regulatory factors of the inflammatory response,inhibit the neuroimmuno-inflammatory cascade response after ischemic stroke through regulating nuclear factor-κB,lncRNA-miRNA-mRNA axis,Rho-ROCK,MAPK,AKT,ERK and other signaling pathways to effectively improve neurological impairment after ischemic stroke.Most of experimental studies on the interaction between lncRNAs and ischemic stroke are based on a middle cerebral artery occlusion model or a cerebral ischemia-reperfusion injury model,but no clinical trials have been conducted.Therefore,it remains to be further explored about whether lncRNAs can be safely applied in clinical practice.At present,there are many therapeutic drugs for the treatment of ischemic stroke,but there are relatively few studies on the application of lncRNAs,exosomes and other transplantation technologies for the treatment of ischemic stroke using tissue engineering technology,which need to be further explored.lncRNA has become an important target for the treatment of ischemic stroke with its relative stability and high specificity.In future studies,more types of inflammatory lncRNAs that function under ischemic-hypoxia conditions should continue to be explored,in order to provide new research directions for the treatment of neuroinflammation after ischemic stroke.
3.Research progress of cerebral organoid technology and its application in stroke treatment
Kexin SUN ; Yuqian XIAO ; Jun WAN ; Shuying CHEN ; Limin CHEN ; Yan WANG ; Yanjie BAI
Tianjin Medical Journal 2024;52(1):38-43
Cerebral organoids are three-dimensional nerve cultures induced by embryonic stem cells(ESCs)or induced pluripotent stem cells(iPSCs)that mimic the structure and function of human brain.With the continuous optimization of cerebral organoid culture technology and the combination with emerging technologies such as organ transplantation,gene editing and organoids-on-chip,complex brain tissue structures such as functional vascular structures and neural circuits have been produced,which provides new methods and ideas for studying human brain development and diseases.This article reviews the latest advances in brain organoid technology,describes its application in neurological diseases and advances in stroke modeling and transplantation treatment.
4.Research progress of RNA m6A methylation in post-stroke cognitive impairment
Yuqian XIAO ; Kexin SUN ; Jun WAN ; Shuying CHEN ; Limin CHEN ; Yan WANG ; Yanjie BAI
Tianjin Medical Journal 2024;52(3):331-336
Post-stroke cognitive impairment(PSCI)is mainly manifested as learning and memory disorders.Highly enriched RNA m6A methylation modification in mammalian brain is involved in glial cell-mediated neuroinflammation.Given that neuroinflammation is the main mechanism for neural damage and spatial and memory impairment of PSCI,it is speculated that RNA m6A methylation modification can regulate the inflammatory response of glial cells after stroke to improve PSCI.This review summarizes and analyzes the role of RNA m6A methylation modification in the development of PSCI and analyzes its detailed mechanism of regulating glial cell-mediated inflammation,which will provide reference for researchers in this field.
5.Meta-analysis on Xixian Tongshuan Capsules/Pills combined with western medicine in treating cerebral infarction
Yuqian JIANG ; Linglin ZHANG ; Xinfu LIAN ; Xiantao LI ; Rong XIE ; Yongjun BAI
International Journal of Traditional Chinese Medicine 2023;45(6):755-759
Objective:To systematically evaluate the clinical efficacy and safety of Xixian Tongshuan Capsules/Pills combined with Western medicine in treating cerebral infarction.Methods:All RCTs about Xixian Tongshuan Capsules/Pills combined with Western medicine in treating cerebral infarction were retrieved from CNKI, Wanfang Database, VIP database, PubMed and CBM. The search period was from the database establishment to December 31, 2021. Two researchers independently extracted the basic literature data and evaluated the methodological quality, then used RevMan5.4 software for meta-analysis.Results:Totally 9 articles were included, involving a total of 988 patients, including 505 cases in the observation group and 483 cases in the control group. Meta-analysis showed that the total effective rate of Xixian Tongshuan Capsules/Pills combined with Western medicine in treating cerebral infarction was higher than that of conventional Western medicine [ RR=1.20, 95% CI (1.13, 1.27), P<0.05]. At the same time, the effect of NIHSS score, Barthel score and FIB were better than those of conventional Western medicine [respectively: MD=-3.21, 95% CI (-4.45, -1.97), P<0.05; MD=11.83, 95% CI (10.66, 13.00), P<0.05; MD=-0.95, 95% CI (-1.36, -0.54), P<0.05]. After treatment with Xixian Tongshuan Capsules/Pills combined with Western medicine, the adverse reactions mainly included dizziness, nausea, indigestion, rash, facial blushing, etc. There was no statistically significant difference in safety between the two groups [ RR=1.50, 95% CI (0.75, 3.01), P>0.05]. Conclusions:Under the treatment of conventional Western medicine, the addition of Xixian Tongshuan Capsules/Pills can improve the clinical efficacy of cerebral infarction treatment, effectively improve the symptoms of neurological impairment, improve the ability of daily life, and promote the prognosis and recovery, and without increasing the incidence of adverse reactions. However, large sample and high quality studies are still needed to support the conclusion.
6.Clinical analysis of sirolimus as an alternative GVHD prophylaxis for patients with kidney injury undergoing allo-HSCT
Wei SUN ; Rui MA ; Yun HE ; Lu BAI ; Yuhong CHEN ; Yao CHEN ; Yuanyuan ZHANG ; Jingzhi WANG ; Huan CHEN ; Xiaohui ZHANG ; Lanping XU ; Yu WANG ; Xiaojun HUANG ; Yuqian SUN
Chinese Journal of Internal Medicine 2023;62(12):1444-1450
Objective:To explore the feasibility of sirolimus as an alternative graft versus host disease (GVHD) prophylaxis in patients with kidney injury after allogeneic hematopoietic stem cell transplantation (allo-HSCT).Methods:Retrospective case series study. Medical records of 11 patients in Peking University People′s Hospital from 1 August 2008 to 31 October 2022, who received sirolimus instead of cyclosporine to prevent GVHD, due to renal insufficiency after allo-HSCT, were analyzed retrospectively. Incidence of GVHD, infection, and transplant-associated thrombotic microangiopathy (TA-TMA), as well as renal function, were evaluated.Results:Among the 11 patients who received sirolimus, 6 were treated with haploidentical donor HSCT, and 5 were treated using matched sibling donor HSCT. The median (range) time of sirolimus administration was 30 (7-167) days after allo-HSCT, and the median (range) sirolimus course duration was 52 (9-120) days. During sirolimus treatment, 1 case did not undergo combined treatment with other prophylactic drugs, 3 cases received combined mycophenolate mofetil (MMF), and 1 case underwent combined CD25 monoclonal antibody treatment, while 6 cases had combined therapy with both MMF and CD25 monoclonal antibody. Of the 11 patients, 2 developed Grade Ⅲ acute GVHD, 1 developed severe pneumonia and died, and 1 developed TA-TMA, while nine patients had normal or improved renal function. Median (range) follow-up time was 130 (54-819) days. Non-relapse mortality was observed in 1 patient. Relapse mortality was also observed in 1 patient.Conclusion:Sirolimus-based alternative GVHD prophylaxis is a potentially viable option for patients undergoing allo-HSCT who cannot tolerate cyclosporine, but its efficacy and safety require further optimization and verification in prospective studies.
7.Non-targeted metallomics based on synchrotron radiation X-ray fluorescence spectroscopy and machine learning for screening inorganic or methylmercury-exposed rice plants
Piaoxue AO ; Chaojie WEI ; Hongxin XIE ; Yuqian FEI ; Liwei CUI ; Wei WANG ; Chenglong TU ; Lihai SHANG ; Bai LI ; Yufeng LI
Journal of Environmental and Occupational Medicine 2024;41(10):1095-1102
Background Mercury, as a global heavy metal pollutant, poses a serious threat to human health. The toxicity of mercury depends on its chemical form. Distinguishing the forms of mercury in the environment is of great significance for mercury management and reducing human mercury exposure risks. Objective To establish a non-targeted metallomics method based on synchrotron radiation X-ray fluorescence (SRXRF) spectroscopy combined with machine learning to screen inorganic mercury (IHg) or methylmercury (MeHg) exposed rice plants. Methods Rice seeds were exposed to ultra-pure water (control group), 0.1 mg·L−1 IHg (IHg group) or MeHg (MeHg group) solutions, respectively. After germination, the seedlings were cultured for 21 d, and rice leaves were collected, dried, weighed, and pressed. The content of metallome in rice leaves was determined by SRXRF. Machine learning models including soft independent modeling cluster analysis (SIMCA), partial least squares discriminant analysis (PLS-DA), and logistic regression (LR) were used to classify the SRXRF full spectra of different groups and find the best model to distinguish rice exposed to IHg or MeHg. Besides, characteristic elements were selected as input parameters to optimize the model by improving computing speed and reducing model calculation. Results The SRXRF spectral intensities of the control group, IHg group, and MeHg group were different, indicating that exposure to IHg and MeHg can interfere the homeostasis of metallome in rice leaves. The results of principal component analysis (PCA) of SRXRF spectra showed that the control group could be well distinguished from the mercury exposed groups, but the IHg group and the MeHg group were mostly overlapped. The accuracy rates of the three models (PLS-DA, SIMCA, and LR) were higher than 98% for the training set, higher than 95% for the validation set, and higher than 94% for the cross-validation set. Besides, the accuracy of the LR model was higher than that of the PLS-DA model and the SIMCA model. Furthermore, the accuracy was 92.05% when using characteristic elements K, Ca, Mn, Fe, and Zn selected by LR to distinguish the IHg group and the MeHg group. Compared with the full spectra model, although the prediction accuracy of the characteristic spectral model decreased, the input parameters of the model decreased by 99.51%, and precision, recall, and F1 score were above 84.48%, indicating that the model could distinguish rice exposed to different mercury forms. Conclusion Non-targeted metallomics method based on SRXRF and machine learning can be applied for high-throughput screening of rice exposed to different forms of mercury and thus decrease the risks of people being exposed to mercury.