Evaluating and forecasting the associated main flavor components in Baijiu (Chinese distilled spirits) with alcohol metabolism and hangover symptoms through mice acute withdrawal model.

Over the past few decades, more alcohol-problem concerns focused on reducing the risk of hangover caused by the alcoholic beverages over-consumption. Chinese distilled spirits (Baijiu) is one of the most favorite alcoholic beverages. The intention of this study is to explore the associations of main flavor components in Baijiu and hangover symptoms using mice acute alcohol withdrawal model. The behaviors of each mouse were assessed by open-field tests using separate groups of mice with the treatment of sauce-aroma Baijiu, light-aroma Baijiu, strong-aroma Baijiu, pure alcohol, and distilled water, respectively. The behavioral data including total move distance and immobile time were used as indicators for the evaluation of the liquor intoxicating effects. Alcohol and acetaldehyde concentrations in mice plasma and the neurotransmitter contents of GABA and Glu in mice cerebellum were detected afterward. The results showed that the mice with the treatment of Baijiu samples displayed unusual exciting behaviors including increased alcohol metabolization with alleviating drunken and hangover symptoms, compared with that of pure alcohol control groups after 2-4 h. Moreover, the sauce-aroma Baijiu treatment group showed lessening intoxicated symptoms than those of light-aroma Baijiu and strong-aroma Baijiu. In addition, there were significant differences between Baijiu and pure alcohol treatment groups at the inhibitory neurotransmitter GABAergic levels and its receptor GABA-AR1 activating levels in the mice neuron cells. Furthermore, the Principal Component Analysis (PCA) analysis inferred that the flavor compounds acetic acid, ethyl acetate, ethyl lactate, and 1-propanol in the sauce-aroma Baijiu were played the major roles in the drunk behaviors that caused by the hangover. While, the acetic acid in the sauce-aroma Baijiu was speculated as a major flavor component to accelerate the alcohol metabolism and retard hangover symptoms.

Borrelia burgdorferi basic membrane protein A initiates proinflammatory chemokine storm in THP 1-derived macrophages via the receptors TLR1 and TLR2.

Lyme disease, reffered to as Lyme borreliosis, is a tick-borne zoonotic disease caused by Borrelia burgdorferi spirochetes. Lyme arthritis, the most common, serious and harmful manifestation during the late stages of Lyme disease, is closely associated with the Borrelia burgdorferi basic membrane protein A (BmpA). Chemokines are also reported to have an important role in Lyme arthritis. Toll-like receptors (TLRs) recognize and bind to pathogen-associated molecules which are structurally conserved among microbes, to activate transcriptional events, including cytokine production, inflammation, and tissue damage. We speculated that BmpA could induce a storm of proinflammatory chemokines via TLRs and downstream moleculars, and that TLR1, TLR2, TLR5, TLR6 and the adaptor protein, MyD88, may be involved in this process. We explored this hypothesis using the human monocytic leukemia cell line, THP-1, and recombinant BmpA (rBmpA). Cell surface TLR1 and TLR2 were neutralized using specific antibodies before stimulation with rBmpA and analysis of chemokine secretion using a chemokine chip. Further, the expressions level of the four TLRs and MyD88 were analyzed following stimulation with rBmpA. Stimulation with rBmpA resulted in elevated levels of seven cytokines. Further, TLR1 and TLR2 antibody treated cells exhibited an overall reduction in rBmpA-induced chemokine expression. TLR1, TLR2, and MyD88 expression levels (both mRNA and protein) increased after stimulation with rBmpA. Our data confirm that TLR1, TLR2, and MyD88 are involved in BmpA-induced proinflammatory chemokines, which may be closely involved in Lyme arthritis pathogenesis.

Chemokine CXC Ligand 13 in Cerebrospinal Fluid Can Be Used as an Early Diagnostic Biomarker for Lyme Neuroborreliosis: A Meta-Analysis.

Lyme neuroborreliosis (LNB), which is the most common neurological manifestation of Lyme disease (LD), seriously impairs both the central and peripheral nervous systems. Current LNB diagnostic methods and criteria are not very effective. Recently, several studies have indicated that a high concentration of the chemokine CXC ligand 13 (CXCL13) in cerebrospinal fluid (CSF) could be used as a new biomarker for the diagnosis of LNB. Thus, we carried out a meta-analysis to systematically analyze the data from these studies to evaluate the value of CXCL13 as an LNB biomarker. After searching for articles in several databases, including PubMed, Embase, the Cochrane Library, and the China National Knowledge Infrastructure (CNKI), we included 7 articles in the meta-analysis with a total of 1299 patients with LNB or other neuroinflammatory diseases. From these 1299 patients, 343 patients with LNB served as the experimental group and 956 patients with other neuroinflammatory diseases or healthy individuals served as the control group. The analyses were performed using Meta-Disc1.4 statistical software. Based on the pooled specificity, sensitivity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and summary receiver operating characteristic curve, we found that CXCL13 indeed has a high sensitivity and specificity for diagnosing LNB, which means that it can be used as a new diagnostic biomarker for the diagnosis of LNB.

Use of Digital Droplet PCR to Detect Mycobacterium tuberculosis DNA in Whole Blood-Derived DNA Samples from Patients with Pulmonary and Extrapulmonary Tuberculosis.

Tuberculosis (TB) is a chronic infectious disease that has been threatening public health for many centuries. The clinical diagnostic procedure for TB is time-consuming and laborious. In the last 20 years, real-time fluorescence-based quantitative PCR (real-time PCR) has become a better alternative for TB diagnosis in clinics due to its sensitivity and specificity. Recently, digital droplet PCR (ddPCR) has been developed, and it might be an ideal alternative to conventional real-time PCR for microorganism detection. In this study, we aimed to assess the capacity of ddPCR and real-time PCR for detecting low levels of circulating Mycobacterium tuberculosis (MTB) DNA. The study involved testing whole blood samples for an MTB DNA target (known as IS6110). Blood samples were obtained from 28 patients with pulmonary TB, 28 patients with extrapulmonary TB, and 28 healthy individuals. The results show that ddPCR could be used to measure low levels of MTB DNA, and it has the potential to be used to diagnose pulmonary and extrapulmonary TB based on clinical samples.