Variations in the toxicity and condition index of five bivalve species throughout a red tide event caused by Alexandrium catenella: A field study.

Harmful red tides in China have caused paralytic shellfish toxins (PSTs) pollution and led to severe socioeconomic effects in shellfish aquaculture. Although shellfish can survive harmful algal blooms, the effects on their Condition Index (CI) have been underestimated. This study sought to evaluate the effects of the profiles and levels of paralytic shellfish toxins on variations in the CI in bivalves under natural blooming conditions. We observed clear soft tissue lesions to varying degrees except in Mytilus galloprovincialis after toxin exposure. Among the five species of shellfish exposed in situ, only M. galloprovincialis accumulated PSTs content above the maximum permitted level (800 µg STX di-HCl eq./kg). The highest toxin content in all sample tissues was observed in Patinopecten yessoensis. Significant interspecies differences in PSTs accumulation among the five bivalve species were observed in the hepatopancreas. A total of nine PSTs components and four new C-11 hydroxyl metabolites (so-called M-toxins) toxins were detected, and detoxification diversity was observed among bivalves. We observed a higher proportion of M-toxin in early stages, and the proportions changed only slightly over time in M. galloprovincialis and Magallana gigas, thus accounting for the significantly higher metabolism rate. Notably, the CI in M. gigas and Argopecten irradians was positively correlated with lowest toxin accumulation of PSTs content, but significantly inhibited. In conclusion, our results revealed a significant inhibitory effect on the CI in shellfish, in a species specific manner, with distinct levels of inhibition correlated with different toxin metabolites. Our study revealed the toxin content of different bivalves exposed to a natural red tide environment and the consequent effects on growth, thus building a foundation for research on the mechanisms underlying the effects of PSTs on growth. These data establish the ecological and economic significance of the effects of harmful algal blooms on bivalves.

[NIR Fingerprints of Different Medicinal Parts of Angelicae Sinensis Radix].

OBJECTIVE: To investigate the spectrum characteristics of near-intrared dittuse retlectance spectroscopy (NIR) fingerprint of different medicinal parts of Angelicae Sinensis Radix. METHODS: 96 batches of samples were collected from 14 counties of Gansu Province and Yunnan Province. The NIR fingerprints were collected by integrated sphere. Similarity analysis and partial least square discriminant analysis(PLS-DA) were used to analyze the fingerprint. RESULTS: The average spectrum of NIR fingerprint of different medicinal parts of Angelicae Sinensis Radix showed some differences; the absorbance in characteristic absorption was in a decreasing order of body > tail > head > whole. Most NIR fingerprint similarities of different medicinal parts of Angelicae Sinensis Radix exceeded 0. 95. The established model of PLS-DA could be used to accurately classify the medicinal parts of Angelicae Sinensis Radix. The differences of NIR fingerprints of different medicinal parts of Angelicae Sinensis Radix were mainly existing in the wave number ranges of 8,443 - 8,284 cm -1, 7,003 - 6,896 cm-1, 6,102 - 5,864 cm-1, 4,847 - 4,674 cm-1, and 4,386 - 4,208 cm-1. CONCLUSION: The different medicinal parts of Angelicae Sinensis Radix have some differences in chemical components.

[Correlation Analysis Between Common Peaks of Angelica sinensis HPLC Fingerprint and Mineral Elements in Its Growing Soil].

OBJECTIVE: To investigate the correlation between common peaks of Angelica sinensis HPLC fingerprint and mineral elements in its growing soil. METHODS: The fingerprints of 120 batches of Angelica sinensis from 12 habitats were determined by HPLC. The contents of Pb, As, Cr, Sb, Hg, Cu, Cd, Ni, Zn, Mg, Mn, Ca, Fe, Na and K in corresponding soil were determined by ICP-MS and AAS. Bivariate and multiple linear regression were used to analyze the correlation. RESULTS: There were significant ( P < 0. 01 or P < 0.05) positive and negative correlation between many common peaks in HPLC fingerprint of Angelica sinensis and mineral elements in its growing soil. The contribution of mineral elements in soil on peak 1 were Zn > K > Sb > Fe > Na; on peak 6 (3-butylphthalide) were Mn > Mg > Ca; on peak 7 were Cr > Zn; on peak 8 were Mn > Na; on peak 11 were As > K > Fe > Cd; on peak 12 were Zn > Mn > K; on peak 13 (Z-butylidenephthalide) were Mn > Zn > Cd; on peak 15 were Zn > K; on peak 16 were Fe > Ni; on peak 17 were Zn > Mn > Ni > Fe > K; on peak 18 were Zn > Na; peaks 2,3 (ferulic acid), 4 and 14 (Z-ligustilide) was mainly affected by As, Zn, Sb and Cu, respectively. CONCLUSION: The relationship between HPLC fingerprint peak of Angelica sinensis and mineral elements in its growing soil shows complexity, multiplicity and interactivity, which should be selectively examined during manuring micronutrient fertilizer and Angelica sinensis cultivation.

[Study on mineral elements distribution in soil of Angelica sinensis producing regions and its relationship with altitude and soil types].

OBJECTIVE: To investigate the distribution characteristics of mineral elements in the soil of Angelica sinensis producing regions and its relationship with altitude and soil types. METHODS: The contents of 15 mineral elements in 103 batches of soil from 13 counties were determined by ICP-MS or AAS. Pearson correlation analysis, partial correlation analysis and systematical cluster analysis were used to analyze the data. RESULTS: Pearson correlation analysis showed that the content of Mg in soil and altitude showed significant positive correlation(P <0. 01), the content of Cd in soil and altitude showed significant negative correlation(P <0. 05), and the con- tents of Pb, Cd, As, Cu, Cr as well as Ni in soil and altitude showed negative correlation. The result of systematic cluster analysis showed that 103 batches of soil were clustered into 5 groups. The main soil types of group I were black soil, haplic kastanozems and black sandy-soil, group II was loess, group III was cinnamon soil, group IV were red soil and grey cinnamon soil, and group V were black soil, haplic kastanozems, grey cinnamon soil and cinnamon soil. CONCLUSION: The distribution of mineral elements in soil is closely related to altitude and soil types.

Formation mechanism and environmental drivers of Alexandrium catenella bloom events in the coastal waters of Qinhuangdao, China.

In the last 5 years, paralytic shellfish toxins (PSTs) have been recurrently detected in mollusks farmed in the mussel culture area of Qinhuangdao city, along with the occurrence of toxic outbreaks linked to dinoflagellate species of the Alexandrium genus. To understand the formation mechanism and variation of these events, continuous and comprehensive PSTs monitoring was carried out between 2017 and 2020. Through the analysis of both phytoplankton and cysts via light microscopy and quantitative polymerase chain reaction, it was shown that Alexandrium catenella was responsible for the production of PSTs, which consisted mainly of gonyautoxins 1,4 (GTX1/4, 87%) and GTX2/3 (13%). During bloom events in 2019, mussels accumulated the highest PSTs value (929 µg STX di-HCl eq·kg-1) in conjunction with the peak of cell abundances, and toxin profiles were consistent with high distributions of GTX1/4, GTX2/3, and Neosaxitoxin. Toxin metabolites vary in different substances and mainly transferred to a stable proportion of α-epimer: ß-epimers 3:1. The environmental drivers of Alexandrium blooms included the continuous rise of water temperature (>4 °C) and calm weather with low wind speed and no significant precipitation. By comparing toxin profiles and method sensitivity, it was found that dissolved toxins in seawater are more useful for early warning. These results have important implications for the effective monitoring and management of paralytic shellfish poisoning outbreaks.

Prognostic value of osteopontin expression in breast cancer: A meta-analysis.

Osteopontin (OPN) has been implicated in tumor development and progression over the last few years. However, the prognostic value of OPN overexpression in patients with breast cancer remains controversial. We performed a meta-analysis to investigate the association of OPN expression in the tumor with the clinicopathological characteristics and survival of breast cancer patients. A total of 8 studies met the inclusion criteria and were entered in the meta-analysis. The data analysis demonstrated that OPN expression was positively associated with lymph node metastasis [pooled odds ratio = 2.026, 95% confidence interval (CI): 1.199-3.425, P=0.008, random-effects model]. We also found that OPN expression was positively associated with overall survival [hazard ratio (HR) = 3. 69, 95% CI: 1. 45-9.42, P=0.000, random-effects model) and disease -free survival (pooled HR=2.40, 95% CI: 1.27-4.55, P=0.007, fix ed -effects model). Based on the results of this study, we concluded that OPN overexpression in the tumor is a candidate positive prognostic biomarker for breast cancer patients.