Characteristic Components and Authenticity Evaluation of Chinese Honeys from Three Different Botanical Sources.

We aimed to identify the characteristic phytochemicals of safflower, Chinese sumac, and bauhinia honeys to assess their authenticity. We discovered syringaldehyde, riboflavin, lumiflavin, lumichrome, rhusin [(1E,4E)-1,5-diphenylpenta-1,4-dien-3-one-O-cinnamoyl oxime], bitterin {4-hydroxy-4-[3-(1-hydroxyethyl) oxiran-2-yl]-3,5,5-trimethylcyclohex-2-en-1-one}, and unedone as characteristic phytochemicals of these three types of honeys. The average contents of syringaldehyde, riboflavin, lumiflavin, or lumichrome in safflower honey were 41.20, 5.24, 24.72, and 36.72 mg/kg; lumiflavin, lumichrome, and rhusin in Chinese sumac honey were 39.66, 40.55, and 2.65 mg/kg; bitterin, unedone, and lumichrome in bauhinia honey were 8.42, 26.33, and 8.68 mg/kg, respectively. To our knowledge, the simultaneous presence of riboflavin, lumichrome, and lumiflavin in honey is a novel finding responsible for the bright-yellow color of honey. Also, it is the first time that lumiflavin, rhusin, and bitterin have been reported in honey. We effectively distinguish pure honeys from adulterations, based on characteristic components and high-performance liquid chromatography fingerprints; thus, we seem to provide intrinsic markers and reliable assessment criteria to assess honey authenticity.

Consensus on potential biomarkers developed for use in clinical tests for schizophrenia.

Background: Schizophrenia is a serious mental illness affecting approximately 20 million individuals globally. Both genetic and environmental factors contribute to the illness. If left undiagnosed and untreated, schizophrenia results in impaired social function, repeated hospital admissions, reduced quality of life and decreased life expectancy. Clinical diagnosis largely relies on subjective evidence, including self-reported experiences, and reported behavioural abnormalities followed by psychiatric evaluation. In addition, psychoses may occur along with other conditions, and the symptoms are often episodic and transient, posing a significant challenge to the precision of diagnosis. Therefore, objective, specific tests using biomarkers are urgently needed for differential diagnosis of schizophrenia in clinical practice. Aims: We aimed to provide evidence-based and consensus-based recommendations, with a summary of laboratory measurements that could potentially be used as biomarkers for schizophrenia, and to discuss directions for future research. Methods: We searched publications within the last 10 years with the following keywords: 'schizophrenia', 'gene', 'inflammation', 'neurotransmitter', 'protein marker', 'gut microbiota', 'pharmacogenomics' and 'biomarker'. A draft of the consensus was discussed and agreed on by all authors at a round table session. Results: We summarised the characteristics of candidate diagnostic markers for schizophrenia, including genetic, inflammatory, neurotransmitter, peripheral protein, pharmacogenomic and gut microbiota markers. We also proposed a novel laboratory process for diagnosing schizophrenia in clinical practice based on the evidence summarised in this paper. Conclusions: Further efforts are needed to identify schizophrenia-specific genetic and epigenetic markers for precise diagnosis, differential diagnosis and ethnicity-specific markers for the Chinese population. The development of novel laboratory techniques is making it possible to use these biomarkers clinically to diagnose disease.

Extracellular Vesicles from miR-148a-5p-Enriched Bone Marrow Mesenchymal Stem Cells Relieve Hepatic Fibrosis by Targeting Smad4.

Liver fibrosis is a hallmark feature of many chronic liver diseases, which is the leading cause of morbidity and mortality worldwide. Bone marrow mesenchymal stem cells (BMSCs)-derived extracellular vesicles have been applied in many diseases. In this study, we aimed to explore the specific mechanism of extracellular vesicles from BMSCs in liver fibrosis. Bioinformatics analysis was employed to screen miRNA and its target mRNA. Sirius Red staining was carried out to examine fibrosis in liver tissues. Extracellular vesicle morphology was assessed using Transmission Electron Microscopy. Quantitative real-time PCR (qRT-PCR) and western blotting analysis were performed to detect the expressions of miR-148a-5p, Smad4, transforming growth factor-ß1 (TGF-ß1), tissue inhibitor of metalloproteinase 1 (TIMP-1), Collagen I, α-smooth muscle actin (α-SMA), and extracellular vesicle markers CD9, TSG101, CD63, and calnexin. Dual-luciferase report gene assay was used for the luciferase activity analysis. Bioinformatics analysis revealed miR-148a-5p as a regulator in liver fibrosis. QRT-PCR results indicated that miR-148a-5p was lowly expressed in both thioacetamide (TAA)-induced mice and TGF-ß1-activated hepatic stellate cells. Extracellular vesicles from miR-148a-5p enriched BMSCs downregulated the mRNA and protein levels of TGF-ß1, TIMP-1, Collagen I, and α-SMA. Further bioinformatics analysis indicated that Smad4 was related to liver fibrosis. Furthermore, the dual-luciferase report gene assay confirmed the binding relationship between miR-148a-5p and Smad4. Extracellular vesicles from miR-148a-5p enriched BMSCs attenuated hepatic fibrosis in liver fibrosis by targeting Smad4.

Effects of extreme precipitation on hospitalization risk and disease burden of schizophrenia in urban and rural Lu'an, China, from 2010 to 2019.

With the increasing frequency of extreme events caused by global climate change, the association between extreme precipitation (EP) and disease has aroused concern currently. However, no study has examined the relationship between EP and schizophrenia. Our study aimed to explore the relationship between EP and schizophrenia, and to further examine the difference between urban and rural areas. This study used quasi-Poisson generalized linear regression model combined with distributed lag non-linear model (DLNM) to estimate the association between EP (≥ 95th percentile) and hospitalization for schizophrenia from 2010 to 2019 in the city of Lu'an, China. EP could significantly increase the risk of hospitalization for schizophrenia. The effect firstly appeared at lag1 [relative risk (RR): 1.056, 95% confidence interval (95%CI): 1.003-1.110] and continued until lag17 (RR: 1.039, 95%CI: 1.004-1.075). Our research showed that EP had a significant effect on the hospitalization for schizophrenia in both urban and rural areas, and no significant difference was found (p>0.05). EP exerted more acute effects on schizophrenia living in rural areas than those in urban areas in the cold season. Further studies on the burden of schizophrenia found that patients who are male, aged ≤ 39 years or less, and living in urban areas are a priority for future warnings. We should pay more attention to the impact of EP on burden of schizophrenia, especially during the cold season, targeting those vulnerable groups, thereby implementing more accurate and timely preventive measures.