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Xianzhi Wang,Yuying Shen 한국초지조사료학회 2009 한국초지조사료학회 학술대회논문집 Vol.2009 No.08
Biolog ECO plates (31 different carbon sources, Biolog Inc., Hayward, USA) were used to discriminate between rhizosphere soil samples from 4- and 9-year alfalfa stands each with three replication. The growth curves for different groups of carbon sources were nearly sigmoidal, but the maximum rate of utilization was faster for amino acids, carbohydrates and polymers t㏊n for amides, miscellaneous and carboxylic acids, and carbon sources utilization efficiency were all higher in 9-year t㏊n in 4-year alfalfa stand.
Huimin Yang,Guoli Liu,Shubin He,Yuying Shen,Xiaoyan Zhang 한국초지조사료학회 2009 한국초지조사료학회 학술대회논문집 Vol.2009 No.08
Forage production and water use efficiency (WUE) of Lucerne were investigated in three varieties at different water availabilities. Forage production decreased with the severity of soil water availability. At 50% field water capacity (FWC), forage production dropped but in two varieties, Algonquin and Longdong, was still high and from 75%FWC to 50%FWC, forage production in Longdong decreased at the least rate. The greatest leaf WUE was observed in Longdong at all soil water availabilities. From 75%FWC to 50%FWC, it increased in Longdong and Xinjiangdaye, but decreased in Algonquin. With the severity of water deficit, δ¹³C value increased in all three varieties. At the same water availability, the greatest value was observed in Longdong. It suggested that moderate water stress can improve WUE in Lucerne. Longdong is to some extent more efficient in water use and may be more drought-tolerant with more steady production at moderate water deficit.
Identification of Plasma Biomarkers in Drug-Naïve Schizophrenia Using Targeted Metabolomics
Qiao Su,Fuyou Bi,Shu Yang,Huiming Yan,Xiaoxiao Sun,Jiayue Wang,Yuying Qiu,Meijuan Li,Shen Li,Jie Li 대한신경정신의학회 2023 PSYCHIATRY INVESTIGATION Vol.20 No.9
Objective Schizophrenia (SCZ) is a severe psychiatric disorder with unknown etiology and lacking specific biomarkers. Herein, we aimed to explore plasma biomarkers relevant to SCZ using targeted metabolomics. Methods Sixty drug-naïve SCZ patients and 36 healthy controls were recruited. Psychotic symptoms were assessed using the Positive and Negative Syndrome Scale. We analyzed the levels of 271 metabolites in plasma samples from all subjects using targeted metabolomics, and identified metabolites that differed significantly between the two groups. Then we evaluated the diagnostic power of the metabolites based on receiver operating characteristic curves, and explored metabolites associated with the psychotic symptoms in SCZ patients. Results Twenty-six metabolites showed significant differences between SCZ patients and healthy controls. Among them, 12 metabolites were phosphatidylcholines and cortisol, ceramide (d18:1/22:0), acetylcarnitine, and γ-aminobutyric acid, which could significantly distinguish SCZ from healthy controls with the area under the curve (AUC) above 0.7. Further, a panel consisting of the above 4 metabolites had an excellent performance with an AUC of 0.867. In SCZ patients, phosphatidylcholines were positively related with positive symptoms, and cholic acid was positively associated with negative symptoms. Conclusion Our study provides insights into the metabolite alterations associated with SCZ and potential biomarkers for its diagnosis and symptom severity assessment.