The blockchain is a ledger of accounts and transactions that are written and stored by all participants. It promises a reliable source of truth about the state of farms, inventories and contracts in agriculture, where the collection of such information is often incredibly costly. The blockchain technology can track the provenance of food and thus helps create trustworthy food supply chains and build trust between producers and consumers. As a trusted way of storing data, it facilitates the use of data-driven technologies to make farming smarter. In addition, jointly used with smart contracts, it allows timely payments between stakeholders that can be triggered by data changes appearing in the blockchain This article examines the applications of blockchain technology in food supply chains, agricultural insurance, smart farming, transactions of agricultural products for both theoretical and practical perspectives. We also discuss the challenges of recording transactions made by smallholder farmers and creating the ecosystem for utilizing the blockchain technology in the food and agriculture sector.

Increasing evidence shows that gut microbiota dysbiosis may play important roles in the occurrence and progression of Parkinson's disease (PD), but the findings are inconsistent. Besides, the effect of family environment on gut microbiota dysbiosis remains unclear. Methods: We characterized the gut microbial compositions of 63 PD patients, 63 healthy spouses (HS) and 74 healthy people (HP) using 16S rRNA sequencing. Clinical phenotypes and microbial composition were analyzed comprehensively. Results: There were markedly different microbial compositions among PD, HS and HP samples by alpha/beta diversity. We also found differential microbial compositions among Hoehn & Yahr stage/disease duration. Eight inflammation-associated microbial genera shared a continuously increase trend with increased Hoehn & Yahr stage and disease duration, indicating characteristic bacteria associated with deterioration in PD. Additionally, seven bacterial markers were identified for accurately differentiating PD patients from the controls (area under the curve [AUC]: 0.856). Conclusions: Our study shows altered gut microbiota in PD patients. Importantly, inflammation-associated microbial genera may play roles in PD progression. Differential microbial compositions in HS and HP samples demonstrate that the gut microbiota are also affected by family environment. Disease-associated metagenomics studies should consider the family environmental factor. Our research provides an important reference and improves the understanding of gut microbiota in PD patients.

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Gastrointestinal dysfunction plays an important role in the occurrence and development of Parkinson’s disease (PD). This study investigates the composition of the gut microbiome using shotgun metagenomic sequencing in PD patients in central China. Fecal samples from 39 PD patients (PD group) and the corresponding 39 healthy spouses of the patients (SP) were collected for shotgun metagenomics sequencing. Results showed a significantly altered microbial composition in the PD patients. Bilophila wadsworthia enrichment was found in the gut microbiome of PD patients, which has not been reported in previous studies. The random forest (RF) model, which identifies differences in microbiomes, reliably discriminated patients with PD from controls; the area under the receiver operating characteristic curve was 0.803. Further analysis of the microbiome and clinical symptoms showed that Klebsiella and Parasutterella were positively correlated with the duration and severity of PD, whereas hydrogen-generating Prevotella was negatively correlated with disease severity. The Cluster of Orthologous Groups of protein database, the KEGG Orthology database, and the carbohydrate-active enzymes of gene-category analysis showed that branched-chain amino acid–related proteins were significantly increased, and GH43 was significantly reduced in the PD group. Functional analysis of the metagenome confirmed differences in microbiome metabolism in the PD group related to short-chain fatty acid precursor metabolism.

RNA-sequencing, a powerful tool, yields a comprehensive view of whole transcriptome. Intracerebral hemorrhage (ICH) is a devastating form of stroke. To date, RNA-sequencing analysis of ICH has not been reported. Peripheral blood mononuclear cells (PBMCs) were used as a source of mRNA for gene expression profile analysis in stroke. In this study, we performed transcriptome analyses for PBMCs from four ICH patients and four healthy volunteers on Illumina platform. We identified 4040 significantly differentially expressed genes (DEGs). Functional annotation of DEGs with DAVID Bioinformatics Resources indicated that genes associated with cell apoptosis, autophagy, cell-cell adhesion, inflammatory response, protein binding, positive regulation of gene expression, and signal transduction were most significantly enriched by DEGs. Gene set enrichment analysis identified 40 significant Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, including chemokine signaling, cytokine-cytokine receptor interaction, oxidative phosphorylation, and glutathione metabolism processes. These data point to a complex mechanism for ICH pathogenesis. Overall, the present study demonstrated an altered gene expression profile of PBMCs in response to acute ICH. Our study provided important information for understanding the molecular mechanisms of ICH pathogenesis at system-wide levels.

: Objectives Some heavy metals are suspected to be pathogenic to both Parkinson's disease (PD) and depression. Common background may exist in them. Methods Subjects comprised PD patients with depression, PD patients without depression and controls recruited from the outpatient clinic in China. Morning blood and urine samples were used to measure concentrations of metals and vitamins. Results Whole -blood manganese was significantly higher in the PD patients without depression than in both the PD patients with depression and the controls. Serum iron was significantly higher in the PD patients without depression than in the controls. Urine iron was also significantly higher in the PD patients without depression than in the controls. Serum copper was significantly lower in the PD patients with depression than in both the PD patients without depression and the controls. Conclusions Excessive intake of iron and accumulation of manganese seemed to be involved in the etiology of non -depressive PD.

Background There is a lack of large multicenter Parkinson's disease (PD) cohort studies and limited data on the natural history of PD in China. Objectives The objective of this study was to launch the Chinese Parkinson's Disease Registry (CPDR) and to report its protocol, cross‐sectional baseline data, and prospects for a comprehensive observational, longitudinal, multicenter study. Methods The CPDR recruited PD patients from 19 clinical sites across China between January 2018 and December 2020. Clinical data were collected prospectively using at least 17 core assessment scales. Patients were followed up for clinical outcomes through face‐to‐face interviews biennially. Results We launched the CPDR in China based on the Parkinson's Disease & Movement Disorders Multicenter Database and Collaborative Network (PD‐MDCNC). A total of 3148 PD patients were enrolled comprising 1623 men (51.6%) and 1525 women (48.4%). The proportions of early‐onset PD (EOPD, age at onset ≤50 years) and late‐onset PD (LOPD) were 897 (28.5%) and 2251 (71.5%), respectively. Stratification by age at onset showed that EOPD manifested milder motor and nonmotor phenotypes and was related to increased probability of dyskinesia. Comparison across genders suggested a slightly older average age at PD onset, milder motor symptoms, and a higher rate of developing levodopa‐induced dyskinesias in women. Conclusions The CPDR is one of the largest multicenter, observational, longitudinal, and natural history studies of PD in China. It offers an opportunity to expand the understanding of clinical features, genetic, imaging, and biological markers of PD progression. © 2022 International Parkinson and Movement Disorder Society.

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