| 5 | Effects of mesenchymal stem cell on dopaminergic neurons,motor and memory functions in animal models of Parkinson's disease:a systematic review and meta-analysis显示文摘Parkinson’s disease is chara cterized by the loss of dopaminergic neurons in the substantia nigra pars com pacta,and although restoring striatal dopamine levels may improve symptoms,no treatment can cure or reve rse the disease itself.Stem cell therapy has a regenerative effect and is being actively studied as a candidate for the treatment of Parkinson’s disease.Mesenchymal stem cells are considered a promising option due to fewer ethical concerns,a lower risk of immune rejection,and a lower risk of teratogenicity.We performed a meta-analysis to evaluate the therapeutic effects of mesenchymal stem cells and their derivatives on motor function,memory,and preservation of dopamine rgic neurons in a Parkinson’s disease animal model.We searched bibliographic databases(PubMed/MEDLINE,Embase,CENTRAL,Scopus,and Web of Science)to identify articles and included only pee r-reviewed in vivo interve ntional animal studies published in any language through J une 28,2023.The study utilized the random-effect model to estimate the 95%confidence intervals(CI)of the standard mean differences(SMD)between the treatment and control groups.We use the systematic review center for laboratory animal expe rimentation’s risk of bias tool and the collaborative approach to meta-analysis and review of animal studies checklist for study quality assessment.A total of 33studies with data from 840 Parkinson’s disease model animals were included in the meta-analysis.Treatment with mesenchymal stem cells significantly improved motor function as assessed by the amphetamine-induced rotational test.Among the stem cell types,the bone marrow MSCs with neurotrophic factor group showed la rgest effect size(SMD[95%CI]=-6.21[-9.50 to-2.93],P=0.0001,I^(2)=0.0%).The stem cell treatment group had significantly more tyrosine hydroxylase positive dopamine rgic neurons in the striatum([95%CI]=1.04[0.59 to 1.49],P=0.0001,I^(2)=65.1%)and substantia nigra(SMD[95%CI]=1.38[0.89 to 1.87],P=0.0001,I^(2)=75.3%),indicating a protective effect on dopaminergic neurons.Subgroup analysis of the amphetamine-induced rotation test showed a significant reduction only in the intracranial-striatum route(SMD[95%CI]=-2.59[-3.25 to-1.94],P=0.0001,I^(2)=74.4%).The memory test showed significant improvement only in the intravenous route(SMD[95%CI]=4.80[1.84 to 7.76],P=0.027,I^(2)=79.6%).Mesenchymal stem cells have been shown to positively impact motor function and memory function and protect dopaminergic neurons in preclinical models of Parkinson’s disease.Further research is required to determine the optimal stem cell types,modifications,transplanted cell numbe rs,and delivery methods for these protocols. | Jong Mi Park Masoud Rahmati Sang Chul Lee Jae Il Shin Yong Wook Kim | 2024 | Neural Regeneration Research2024，19，7： | 0 |
| 6 | Scalable nanolaminated SERS multiwell cell culture assay显示文摘This paper presents a new cell culture platform enabling label-free surface-enhanced Raman spectroscopy(SERS)analysis of biological samples.The platform integrates a multilayered metal-insulator-metal nanolaminated SERS substrate and polydimethylsiloxane(PDMS)multiwells for the simultaneous analysis of cultured cells.Multiple cell lines,including breast normal and cancer cells and prostate cancer cells,were used to validate the applicability of this unique platform.The cell lines were cultured in different wells.The Raman spectra of over 100 cells from each cell line were collected and analyzed after 12h of introducing the cells to the assay.The unique Raman spectra of each cell line yielded biomarkers for identifying cancerous and normal cells.A kernel-based machine learning algorithm was used to extract the high-dimensional variables from the Raman spectra.Specifically,the nonnegative garrote on a kernel machine classifier is a hybrid approach with a mixed nonparametric model that considers the nonlinear relationships between the higher-dimension variables.The breast cancer cell lines and normal breast epithelial cells were distinguished with an accuracy close to 90%.The prediction rate between breast cancer cells and prostate cancer cells reached 94%.Four blind test groups were used to evaluate the prediction power of the SERS spectra.The peak intensities at the selected Raman shifts of the testing groups were selected and compared with the training groups used in the machine learning algorithm.The blind testing groups were correctly predicted 100% of the time,demonstrating the applicability of the multiwell SERS array for analyzing cell populations for cancer research. | Xiang Ren Wonil Nam Parham Ghassemi Jeannine S.Strobl Inyoung Kim Wei Zhou Masoud Agah | 2020 | Microsystems & Nanoengineering2020，6，1： | 0 |
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