Co-exposure of serum calcium, selenium and vanadium is nonlinearly associated with increased risk of type 2 diabetes mellitus in a Chinese population.

BACKGROUND: Metals play an important role in type 2 diabetes mellitus (T2DM). This study aimed to explore the association of T2DM risk with single metal exposure and multi-metal co-exposure. METHODS: A case-control study with 223 T2DM patients and 302 controls was conducted. Serum concentrations of 19 metals were determined by inductively coupled plasma mass spectrometry (ICP-MS). Those metals with greater effects were screened out and co-exposure effects of metals were assessed by least absolute shrinkage and selection operator (LASSO) regression. RESULTS: Serum calcium (Ca), selenium (Se) and vanadium (V) were found with greater effects. Higher levels of Ca and Se were associated with increased T2DM risk (OR = 2.23, 95%CI: 1.38-3.62, Ptrend = 0.002; OR = 3.16, 95%CI: 1.82-5.50, Ptrend < 0.001), but higher V level was associated with decreased T2DM risk (OR = 0.58, 95%CI: 0.34-0.97, Ptrend < 0.001). Serum Ca and V concentrations were nonlinearly associated with T2DM risk (Poverall < 0.001, Pnonliearity < 0.001); however, Se concentration was linearly associated with T2DM risk (Poverall < 0.001, Pnonliearity = 0.389). High co-exposure score of serum Ca, Se and V was associated with increased T2DM risk (OR = 3.50, 95%CI: 2.08-5.89, Ptrend < 0.001) as a non-linear relationship (Poverall < 0.001, Pnonliearity = 0.003). CONCLUSIONS: This study suggest that higher levels of serum Ca and Se were associated with increased T2DM risk, but higher serum V level was associated with decreased T2DM risk. Moreover, co-exposure of serum Ca, Se and V was nonlinearly associated with T2DM risk, and high co-exposure score was positively associated with T2DM risk.

The effect of micro-nutrients on malnutrition, immunity and therapeutic effect in patients with pulmonary tuberculosis: A systematic review and meta-analysis of randomised controlled trials.

OBJECTIVE: Micro-nutrients are closely related to pulmonary tuberculosis (PTB). Most patients with PTB suffer from micro-nutrients deficiency. We aimed to evaluate the efficacy of micro-nutrients support on clinical therapy and chronic inflammation in patients with PTB. METHODS: We searched Pubmed, Springer link, Web of Science, Cochrane, Wan Fang and CNKI databases for randomised controlled trials (RCTs). The patients with anti-TB treatments were divided into two groups, the control group with nutritional advice or placebo, and the experimental group with micro-nutrients support for more than 2 weeks. Two reviewers conducted data extraction and quality assessment of the studies independently, and ReviewManager 5.2 software was used to input and analyse the data. The dichotomous variable was expressed in the risk ratios (RRS) and 95% CI, the continuous data were expressed in the mean difference (MD) and 95% CI, and the heterogeneity of subgroup was evaluated by I (Kerantzas and Jacobs, Jr., 2017) [2] test. RESULTS: A total of 13 trials (2847 participants) were included. First, micro-nutrients improved sputum smears or culture negative conversion rates (OR 0.16 0.03-0.77, 2.29; MD -2.36, -4.72~-0.01, z = 1.97). Meanwhile, micro-nutrients support increased lymphocytes and decreased leukocytes, neutrophils, CRP and ESR (MD 0.20, 0.06-0.35, z = 2.78; MD -0.42, -0.65~-0.18, z = 3.48; MD -0.66, -1.12~-0.20, z = 2.82). However it had not impact on body weight, MUAC, haemoglobin, albumin or monocytes (p > 0.05). CONCLUSION: Micro-nutrients support can reduce chronic inflammation and improve sputum smears or culture conversions to contribute to anti-TB treatment.

Identification of constituents in Gui-Zhi-Jia-Ge-Gen-Tang by LC-IT-MS combined with LC-Q-TOF-MS and elucidation of their metabolic networks in rat plasma after oral administration.

Gui-Zhi-Jia-Ge-Gen-Tang (GZJGGT) is a traditional Chinese medicine (TCM) prescription commonly used to treat cervical spondylopathy, scapulohumeral periarthritis, etc. Though it is widely applied in clinical practice, the effective constituents of GZJGGT remain unclear. This was the first report on the identification of the chemical constituents from GZJGGT in vitro and in vivo using LC-IT-MS combined with LC-Q-TOF-MS. A total of 141 constituents were detected in GZJGGT, and 77 were identified. These compounds mainly included flavonoid glycosides, triterpene saponins, monoterpene glycosides, puerosides, and organic acids. Among them, 12 compounds were unequivocally identified in comparison with reference substances. Additionally, a diagnostic base peak ion filtering strategy for rapid classification of flavonoid O-glycosides and C-glycosides was proposed. After gastrointestinal administration of GZJGGT to rats, 45 prototypes and 48 metabolites in rat plasma were speculated. In addition, the metabolic profile of GZJGGT was portrayed to understand interrelationship between metabolites.

Comparison of the anti-inflammatory active constituents and hepatotoxic pyrrolizidine alkaloids in two Senecio plants and their preparations by LC-UV and LC-MS.

Two Senecio plants, Senecio cannabifolius Less. and its variety S. cannabifolius Less. var. integrifolius (Kiodz.) Kidam., were both used as the raw material of Feining granule, a traditional Chinese medicine product for treating respiratory diseases. In this study, the chemical profiles of these two plants were investigated and compared by liquid chromatography-mass spectrometry (LC-MS) and nuclear magnetic resonance (NMR). A total number of 83 constituents, including 55 organic acids, 11 flavonoids, 4 alkaloids, 3 terpenes and 10 other types of compounds, were characterized. The results indicated that the levels of most flavonoids were higher in S. cannabifolius than in S. cannabifolius var. integrifolius, however, the levels of hepatotoxic pyrrolizidine alkaloids (PAs) were higher in S. cannabifolius var. integrifolius than in S. cannabifolius. Fifteen constituents were evaluated on lipopolysaccharides (LPS) induced RAW 264.7 cells, and eleven of them showed inhibition effect against nitric oxide (NO) production. Finally, the levels of ten major constituents (including seven anti-inflammatory active ones) and two PAs in Feining granule from two Senecio plants were determined and compared by the LC-UV and LC-MS methods, respectively. It was found that one organic acid (homogentisic acid) and two PAs (seneciphylline and senecionine) had higher contents in the preparation of S. cannabifolius var. integrifolius than in that of S. cannabifolius, however, the situations were inverse for the levels of four organic acids and flavonoids (chlorogenic acid, hyperoside, isoquercitrin, and isochlorogenic acid B). Based on the above results, S. cannabifolius might be a better raw material for Feining granule than S. cannabifolius var. integrifolius, because it contained more anti-inflammatory constituents and less hepatotoxic PAs than the latter. However, more pharmacological evaluations should be carried out to support the selection. The results in this study were helpful for the quality control of Feining granule.

Fragment ion diagnostic strategies for the comprehensive identification of chemical profile of Gui-Zhi-Tang by integrating high-resolution MS, multiple-stage MS and UV information.

Gui-Zhi-Tang was considered to be the most famous formula in Shang-Han-Lun, treating 32 symptoms of disease after adding up or cutting down crude drugs. The chemical constituents in Gui-Zhi-Tang were comprehensively studied by rapid resolution liquid chromatography quadrupole time-of-flight mass spectrometry (RRLC-Q-TOF-MS) combined with rapid resolution liquid chromatography - diode array detector - ion trap mass spectrometry (RRLC-DAD-IT-MS) in this work, and a total number of 187 compounds were detected. Systematic diagnostic ion filtering strategies were recommended for flavonoids and oleanane-type triterpenoids, respectively. On the basis of the summarized strategies, compounds in Glycyrrhizae could be easily classified into flavones, isoflavones, flavanones or chalcones with special structures, and triterpene saponins with different sugar moieties. Consequently, among 187 compounds, 144 ones were confirmed or assumed tentatively. In addition, nine potential novel compounds were reported for the first time. This approach provided a rapid method for characterizing the constituents in Gui-Zhi-Tang, and would be also helpful in other TCM formulae analysis.

[Identification of constituents in Suanzaoren tang by LC-Q-TOF-MS and LC-IT-MS].

LC-Q-TOF-MS and LC-IT-MS in positive and negative ion mode were applied to simultaneously characterize the constituents in Suanzaoren tang. Analysis was performed on an Agilent Zorbax SB-C18, Rapid Resolution HT column(4.6 mmx 50 mm, 1. 8 micro m) with gradient elution of acetonitrile(A) -aqueous solution containing 0. 05% formic acid(B) at a flow rate of 0. 6 mL min(-1) and the column temperature was 30 degreesC. By comparing MS fragmentation, accurate molecular weight, literature date and standard compounds information, a total of48 compounds were successfully identified or speculated. The origins of these compounds were assigned to the corresponding Chinese medicine. Thirty-one compounds were reported in Suanzaoren tang for the first time. LC-Q-TOF-MS combined with LC-IT-MS is a simple and rapid tool for the identification of constituents of Suanzaoren tang, and the results could provide evidence for the research on quality combined and effective constituents of Suanzaoren tang.

Identification of the effective constituents for anti-inflammatory activity of Ju-Zhi-Jiang-Tang, an ancient traditional Chinese medicine formula.

The anti-inflammatory constituents of Ju-Zhi-Jiang-Tang (JZJT), a formula used for thousands of years in China, were identified by LC-MS and pharmacological activity evaluation. In this study, the whole extract of formula was separated into multiple components to facilitate the analytical process. To characterize their contributions to pharmacological activity of formula, activity indexes of constituents were proposed and calculated for the first time, which integrated the chemical and pharmacological information of multiple components. Among the 151 constituents detected in JZJT by LC-Q-TOF-MS and LC-IT-MS, a total number of 108 constituents were identified unambiguously or tentatively, including eighteen potential novel compounds. And, the structures of some constituents were confirmed by NMR. According to their activity indexes, polymethoxy flavones were indicated as the major active constituents responsible for the anti-inflammatory activity of JZJT. To verify the feasibility of activity indexes in predicting the active constituents, nine compounds with positive and negative index values were selected to validate their anti-inflammatory activity in vitro. The results showed that two polymethoxy flavones with higher positive index values, i.e., nobiletin and tangeretin can significantly exert anti-inflammatory effects, while other compounds with negative values did not show any activity. In conclusion, our results indicated the proposed approach might be an efficient and rapid way to identify active constituents of TCM formulae.