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Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by continuous and selective degeneration or death of dopamine neurons in the midbrain, leading to dysfunction of the nigrostriatal neural circuits. Current clinical treatments for PD include drug treatment and surgery, which provide short-term relief of symptoms but are associated with many side effects and cannot reverse the progression of PD. Pluripotent/multipotent stem cells possess a self-renewal capacity and the potential to differentiate into dopaminergic neurons. Transplantation of pluripotent/multipotent stem cells or dopaminergic neurons derived from these cells is a promising strategy for the complete repair of damaged neural circuits in PD. This article reviews and summarizes the current preclinical/clinical treatments for PD, their efficacies, and the advantages/disadvantages of various stem cells, including pluripotent and multipotent stem cells, to provide a detailed overview of how these cells can be applied in the treatment of PD, as well as the challenges and bottlenecks that need to be overcome in future translational studies.
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Rhizo-microbe recruited by hyperaccumulating plants are crucial for the extraction of metals from contaminated soils. It is important, but difficult, to identify the specific rhizosphere microbes of hyperaccumulators shaped by root exudation. Continuous 13CO2 labeling, microbial DNA-based stable isotope probing (DNA-SIP), and high throughput sequencing were applied to identify those rhizosphere microorganisms using exudates from the Cd hyperaccumulator Sedum alfredii. In contrast to its non-hyperaccumulating ecotype (NAE), the hyperaccumulating ecotype (HAE) of S. alfredii strongly changed the rhizosphere environment and extracted a 5-fold higher concentration of Cd from contaminated soil. Although both HAE and NAE harbored Streptomyces, Massilia, Bacillus, and WPS-2 Uncultured Bacteria with relative abundance of more than 1% in the rhizosphere associated with plant growth and immunity, the HAE rhizosphere specifically recruited Rhodanobacter (2.66%), Nocardioides (1.16%), and Burkholderia (1.01%) through exudates to benefit the extraction of Cd from soil. Different from the bacterial network with weak cooperation in the NAE rhizosphere, a closed-loop bacterial network shaped by exudates was established in the HAE rhizosphere to synergistically resist Cd. This research reveals a specific rhizosphere bacterial community induced by exudates assisted in the extraction of Cd by S. alfredii and provides a new perspective for plant regulation of the rhizo-microbe community beneficial for optimizing phytoremediation.
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Microbiota , Sedum , Contaminantes del Suelo , Cadmio/análisis , Rizosfera , Contaminantes del Suelo/análisis , Raíces de Plantas/química , Bacterias/genética , Biodegradación Ambiental , Suelo , ADNRESUMEN
Clarifying the effects of elevated CO2 concentration (e[CO2]) on CH4 emissions from paddy fields and its mechanisms is a crucial part of the research on agricultural systems in response to global climate change. However, the response of CH4 fluxes from rice fields to long-term e[CO2] (e[CO2] duration >10 years) and its microbial mechanism is still lacking. In this study, we used a long-term free-air CO2 enrichment experiment to examine the relationship between CH4 fluxes and the methanogenic and methanotrophic consortia under long- and short-term e[CO2]. We demonstrated that contrary to the effect of short-term e[CO2], long-term e[CO2] decreased CH4 fluxes. This may be associated with the reduction of methanogenic abundance and the increase of methanotrophic abundance under long-term e[CO2]. In addition, long-term e[CO2] also changed the community structure and composition of methanogens and methanotrophs compared with short-term e[CO2]. Partial least squares path modeling analysis showed that long-term e[CO2] also could affect the abundance and composition of methanogens and methanotrophs indirectly by influencing soil physical and chemical properties, thereby ultimately altering CH4 fluxes in paddy soils. These findings suggest that current estimates of short-term e[CO2]-induced CH4 fluxes from paddy fields may be overestimated. Therefore, a comprehensive assessment of climatecarbon cycle feedbacks may need to consider the microbial regulation of CH4 production and oxidation processes in paddy ecosystems under long-term e[CO2].
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Dióxido de Carbono , Oryza , Dióxido de Carbono/análisis , Ecosistema , Metano/análisis , Microbiología del Suelo , Suelo/químicaRESUMEN
Understanding and quantifying the impact of elevated tropospheric carbon dioxide concentration (e [CO2]) on methane (CH4) globally is important for effectively assessing and mitigating climate warming. Paddies and wetlands are the two important sources of CH4 emissions. Yet, a quantitative synthetic investigation of the effects of e [CO2] on CH4 emissions from paddies and wetlands on a global scale has not been conducted. Here, we conducted a meta-analysis of 488 observation cases from 40 studies to assess the long-term effects of e [CO2] (ambient [CO2]+ 53-400 µmol mol-1) on CH4 emissions and to identify the relevant key drivers. On aggregate, e [CO2] increased CH4 emissions by 25.7% (p < 0.05) from paddies but did not affect CH4 emissions from wetlands (-3.29%; p > 0.05). The e [CO2] effects on paddy CH4 emissions were positively related to that on belowground biomass and soil-dissolved CH4 content. However, these factors under e [CO2] resulted in no significant change in CH4 emissions in wetlands. Particularly, the e [CO2]-induced abundance of methanogens increased in paddies but decreased in wetlands. In addition, tillering number of rice and water table levels affected e [CO2]-induced CH4 emissions in paddies and wetlands, respectively. On a global scale, CH4 emissions changed from an increase (+0.13 and + 0.86 Pg CO2-eq yr-1) under short-term e [CO2] into a decrease and no changes (-0.22 and + 0.03 Pg CO2-eq yr-1) under long-term e [CO2] in paddies and wetlands, respectively. This suggested that e [CO2]-induced CH4 emissions from paddies and wetlands changed over time. Our results not only shed light on the different stimulative responses of CH4 emissions to e [CO2] from paddy and wetland ecosystems but also suggest that estimates of e [CO2]-induced CH4 emissions from global paddies and wetlands need to account for long-term changes in various regions.
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Ecosistema , Humedales , Dióxido de Carbono/análisis , Suelo , Metano/análisis , Óxido NitrosoRESUMEN
Tea gardens have been widely documented to be hotspots for nitrogen (N) oxide emissions (i.e., nitrous oxide (N2O) and nitric oxide (NO)). However, a quantitative understanding of N oxide emissions related to different fertilizer regimes and the main controlling factors is lacking. Here, we performed a meta-analysis of 56 peer-reviewed publications on N oxide emissions from global tea gardens over the past three decades. Overall, fertilization increased N2O and NO emissions (p < 0.001) by 584 % and 790 %, respectively. The stimulating effect of fertilizer on N2O and NO emissions was mainly related to high N application rates. Furthermore, organic fertilizer treatment, combined fertilizer treatment, biochar amendment, and inhibitor amendment reduced N2O emissions (p < 0.05) by 63 %, 64 %, 69 %, and 94 %, respectively, relative to chemical fertilizer treatment. For NO emissions, only biochar amendment decreased fertilizer-driven stimulation (by 80 %, p < 0.05). Notably, the dominant factors that influenced fertilizer-induced N2O and NO emissions in tea gardens were fertilization regimes, climatic conditions, and soil properties. On a global scale, fertilization increased mean N2O and NO emissions (p < 0.05) from global tea gardens by 44.5 Gg N yr-1 and 34.3 Gg N yr-1, respectively, whereas compared with no amendment application, inhibitors reduced N2O emissions (p < 0.05) by 32.2 Gg N yr-1 and biochar reduced NO emissions (p < 0.05) by 23.6 Gg N yr-1. Our results suggest that to obtain maximum ecological and economic benefits, appropriate N fertilizer and biochar and inhibitor amendments should be applied for site-specific mitigation purposes, and long-term, multiarea, in situ experiments and microbial mechanism studies should be conducted.
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Introduction: Purpose: to evaluate the protective effect of omega-3 long-chain unsaturated fatty acids on the progression of wet age-related macular degeneration (wAMD). Methods: this meta-analysis was designed, implemented, and analyzed in accordance with the Meta-analysis of Observational Studies in Epidemiology (MOOSE) protocol and is reported following PRISMA guidelines. Results: in this study we included 5 observational trials, including 2 cross-sectional studies, 2 case-control studies, and 1 confrontation study. These tests are conducted in the U.S., Europe and Japan, and are of high quality. In general, people with high dietary long-chain omega-3 polyunsaturated fatty acids (omega-3 LCPUFAs) have a lower risk of progression to advanced age-related macular degeneration (AMD) (effect size, ES: 0.51, 95 % CI [0.34, 0.75], I2 = 70 %, p = 0.01). When assessing docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA) intake and wAMD risk a total of the three above studies were included, which also produced similar results. Conclusions: the highest DHA consumption reduced the risk of disease by 39 % (effect size: 0.61, 95 % CI [0.50, 0.74], I2 = 14 %, p = 0.31); compared with the lowest EPA consumption, the highest EPA consumption reduced the risk of wAMD by 32 % (ES: 0.68, 95 % CI [0.57, 0.82], I2 = 39 %, p = 0.20).
Introducción: Propósito: evaluar el efecto protector de los AGPICL omega-3 sobre la degeneración macular húmeda asociada a la edad (DMAE). Métodos: este metaanálisis fue diseñado, implementado y analizado de acuerdo con el protocolo de Metaanálisis de Estudios Observacionales en Epidemiología (MOOSE) y se informa siguiendo las directrices de PRISMA. Resultados: en este estudio se incluyeron 5 ensayos observacionales, entre ellos 2 estudios transversales, 2 estudios de casos y controles y 1 estudio de confrontación. Estos ensayos se realizan en Estados Unidos, Europa y Japón y son de alta calidad. En general, las personas con una dieta alta en ácidos grasos poliinsaturados de cadena larga (AGPICL omega-3) tienen un menor riesgo de progresión hacia la degeneración macular avanzada relacionada con la edad (DMAE) (tamaño del efecto, ES: 0,51, IC 95 % [0,34, 0,75], I2 = 70 %, p = 0,01). Al evaluar la ingesta de ácido docosahexaenoico (DHA) y ácido eicosapentaenoico (EPA) y el riesgo de DMAE se incluyeron en total tres de los estudios anteriores, que también arrojaron resultados similares. Conclusiones: el mayor consumo de DHA redujo el riesgo de enfermedad en un 39 % (tamaño del efecto: 0,61, IC del 95 % [0,50, 0,74], I2 = 14 %, p = 0,31); en comparación con el menor consumo de EPA, el mayor consumo de EPA redujo el riesgo de wAMD en un 32 % (ES: 0,68, IC del 95 % [0,57, 0,82], I2 = 39 %, p = 0,20).
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Ácidos Grasos Omega-3 , Degeneración Macular , Estudios Transversales , Dieta , Ácidos Docosahexaenoicos , Ácido Eicosapentaenoico , Humanos , Degeneración Macular/epidemiología , Degeneración Macular/prevención & control , Estudios Observacionales como AsuntoRESUMEN
The anaerobic oxidation of methane (AOM) mediated by microorganisms is a key process in the reduction of methane emissions, and AOM-coupled electron acceptors have been shown to regulate methane emissions into the atmosphere in marine systems. Paddy fields are a significant source of methane and account for 20% of global methane emissions, but the effect of electron acceptors on the methane emission process in flooded paddy fields has been poorly characterized. This study aimed to determine whether the electron acceptors ferric iron and nitrate, and biochar, acting as an electron shuttle, can regulate the AOM process in paddy soil, with or without interaction between biochar and these two electron acceptors. We also aimed to characterize which microorganisms are actively involved. Here, we added 13C-labeled CH4 (13CH4) into anaerobic microcosms to evaluate the role of electron acceptors by measuring the methane oxidation rate and the enrichment of 13C-labeled CO2 (13CO2). We then combined DNA-stable isotope probing with amplicon sequencing to study the active microorganisms. We found for the first time that, in addition to nitrate, ferric iron can also effectively promote AOM in paddy soil. However, there was no significant effect of biochar. Ferric iron-dependent AOM was mainly carried out by iron-reducing bacteria (Geobacter, Ammoniphilus and Clostridium), and nitrate-dependent AOM was mainly by nitrate-reducing bacteria (Rhodanobacter, Paenibacillus and Planococcus). Our results demonstrate that the AOM process, regulated by the electron acceptors ferric iron and nitrate, can alleviate methane emission from paddy soil. The potentially active microorganisms related to electron acceptor reduction may be crucial for this methane sink and deserve further research.
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Metano , Microbiota , Anaerobiosis , Archaea , Hierro , Nitratos , Oxidación-Reducción , SueloRESUMEN
AIM: Platinum-based chemotherapy is the standard treatment for ovarian cancer. However, tumor cells' resistance to platinum drugs often occurs. This paper provides a review of Forkhead box O (FOXO) protein's role in platinum resistance of ovarian cancer which hopefully may provide some further guidance for the treatment of platinum-resistant ovarian cancer. METHODS: We reviewed a 128 published papers from authoritative and professional journals on FOXO and platinum-resistant ovarian cancer, and adopts qualitative analyses and interpretation based on the literature. RESULTS: Ovarian cancer often has abnormal activation of cellular pathways, the most important of which is the PI3K/AKT pathway. FOXOs act as crucial downstream factor of the PI3K/Akt pathway and are negatively regulated by it. DNA damage response and apoptosis including the relationship between FOXOs and ATM-Chk2-p53 are essential for platinum resistance of ovarian cancer. Through gene expression analysis in platinum-resistant ovarian cancer cell model, it was found that FoxO-1 is decreased in platinum-resistant ovarian cancer, so studying the role of FOXO in the pathway on platinum-induced apoptosis may further guide the treatment of platinum-resistant ovarian cancer. CONCLUSIONS: There are many drug resistance mechanisms in ovarian cancer, wherein the decrease in cancer cells apoptosis is one of the important causes. Constituted by a series of transcription factors evolving conservatively and mainly working in inhibiting cancer, FOXO proteins play various roles in cells' antitumor response. More and more evidence suggests that we need to re-understand the role that FOXOs have played in cancer development and treatment.
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Neoplasias Ováricas , Fosfatidilinositol 3-Quinasas , Apoptosis , Femenino , Factores de Transcripción Forkhead/genética , Regulación Neoplásica de la Expresión Génica , Humanos , Neoplasias Ováricas/tratamiento farmacológico , Fosfatidilinositol 3-Quinasas/metabolismo , Proteínas Proto-Oncogénicas c-akt/metabolismoRESUMEN
Circulating tumor cells (CTC) isolated from the peripheral blood of cancer patients by a minimally invasive procedure provide surrogate markers of the tumor that can be repeatedly sampled. However, the selection and enumeration of CTCs by traditional methods based on surface proteins like EPCAM may not detect CTCs with a mesenchymal phenotype. Here, we employed an antibody-agnostic platform, the Parsortix® PR1 system, which enriches CTCs based on cell size and membrane deformability. We evaluated the linearity, sensitivity, and specificity of the Parsortix PR1 system in tandem with 3 downstream molecular characterization techniques using healthy donor blood spiked with cultured cell lines. Signal amplification of mRNA using a QuantiGene 25-gene assay was able to quantitate multiple epithelial genes, including CDH1, EGFR, ERBB2, KRT18, and MUC1, from high numbers of spiked cells and was able to detect KRT18 when only 50 MCF-7 or SUM190 cells were spiked into healthy donor blood. However, target amplification of mRNA by quantitative polymerase chain reaction (qPCR) showed better sensitivity; qPCR without pre-amplification was able to detect CTC-related genes in Parsortix PR1-enriched cells when as few as 5 SKBR3 cells were spiked into blood. Finally, the HTG EdgeSeq nuclease protection assay was able to profile mRNA expression of over 2,560 cancer-related genes from Parsortix PR1 enriched cells, showing enrichment in cancer signaling pathways and ERBB2, KRT19, and KRT7. Overall, the Parsortix PR1 platform may be amenable to transition into routine clinical workflows.
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Antígenos de Neoplasias/metabolismo , Biomarcadores de Tumor/metabolismo , Separación Celular/métodos , Neoplasias/diagnóstico , Células Neoplásicas Circulantes/inmunología , Biomarcadores de Tumor/aislamiento & purificación , Recuento de Células , Línea Celular Tumoral , Separación Celular/instrumentación , Perfilación de la Expresión Génica/métodos , Voluntarios Sanos , Humanos , Microfluídica/instrumentación , Microfluídica/métodos , Neoplasias/sangre , Neoplasias/inmunología , Células Neoplásicas Circulantes/metabolismo , ARN Mensajero/metabolismo , Reacción en Cadena en Tiempo Real de la Polimerasa , Sensibilidad y EspecificidadRESUMEN
The objective of this study was to develop a low-cost method for rice growth information obtained quickly using digital images taken with smartphone. A new canopy parameter, namely, the canopy volume parameter (CVP), was proposed and developed for rice using the leaf area index (LAI) and plant height (PH). Among these parameters, the CVP was selected as an optimal parameter to characterize rice yields during the growth period. Rice canopy images were acquired with a smartphone. Image feature parameters were extracted, including the canopy cover (CC) and numerous vegetation indices (VIs), before and after image segmentation. A rice CVP prediction model in which the CC and VIs served as independent variables was established using a random forest (RF) regression algorithm. The results revealed the following. The CVP was better than the LAI and PH for predicting the final yield. And a CVP prediction model constructed according to a local modelling method for distinguishing different types of rice varieties was the most accurate (coefficient of determination (R2) = 0.92; root mean square error (RMSE) = 0.44). These findings indicate that digital images can be used to track the growth of crops over time and provide technical support for estimating rice yields.
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Oryza/crecimiento & desarrollo , Fotograbar , Teléfono Inteligente , Algoritmos , Productos Agrícolas/crecimiento & desarrollo , Hojas de la PlantaRESUMEN
Allergic conjunctivitis (AC) is a common allergic disease that is often associated with the onset of rhinitis or asthma. The incidence of AC has increased significantly in recent years possibly due to air pollution and climate warming. AC seriously affects patients' quality of life and work efficiency. Th (T-helper) 2 immune responses and type I hypersensitivity reactions are generally considered the basis of occurrence of AC. It has been found that new subpopulations of T-helper cells, Th17 cells that produce interleukin-17 (IL-17), play an important role in the Th2-mediated pathogenesis of conjunctivitis. Studies have shown that Th17 cells are involved in a variety of immune inflammation, including psoriasis, rheumatoid arthritis, inflammatory bowel disease, systemic lupus erythematosus, and asthma. However, the role of Th17 and IL-17 in AC is unclear. This paper will focus on how T-helper 17 cells and interleukin-17 are activated in the Th2 immune response of allergic conjunctivitis and how they promote the Th2 immune response of AC.