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        Characterization of a Family 3 Polysaccharide Lyase with Broad Temperature Adaptability, Thermo-alkali Stability, and Ethanol Tolerance

        JunPei Zhou,Yanyan Dong,Yajie Gao,Xianghua Tang,Junjun Li,YUN-JUAN YANG,Bo Xu,Zhenrong Xie,Zunxi Huang 한국생물공학회 2012 Biotechnology and Bioprocess Engineering Vol.17 No.4

        The 774-bp pectate lyase gene plyAI4 from Bacillus sp. I4 was cloned and expressed in E. coli. The gene encodes a 257-residue polypeptide (PlyAI4, 28.3 kDa)with the highest identities of 97.3% with a putative pectate lyase from Bacillus subtilis BSn5 (ADV94306) and 60.3%with an identified pectate lyase of the polysaccharide lyase family (PL) 3 from Paenibacillus amylolyticus 27C64(ADB78774). The purified recombinant PlyAI4 (rPlyAI4)exhibited apparently optimal activity at pH 10.5 ~ 11.0 and 50oC. Compared with the majority of reported alkaline pectate lyases, rPlyAI4 exhibited more residual enzyme activity at 20oC (~45%) or at 70oC (~50%) and better thermostability at 70oC (~60 min half-life at 70oC). In the presence of 20% (v/v) ethanol, pectate lyase activity was enhanced by 0.2 fold. After incubation in 40% (v/v)ethanol at 37oC and pH 8.5 for 1 h, the purified rPelAI4retained more than 75% of the initial activity. Sequence analysis proposed a new signature block, A-D-G-[V/I]-H,for PL 3 pectate lyases. These properties may prove to be important with regards to PlyAI4 for basic research and industrial application.

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        Assessment of the Predictive Role of Serum Lipid Profiles in Breast Cancer Patients Receiving Neoadjuvant Chemotherapy

        Fanli Qu,Rui Chen,Yang Peng,Ying Ye,Zhenrong Tang,Yihua Wang,Beige Zong,Haochen Yu,Shengchun Liu 한국유방암학회 2020 Journal of breast cancer Vol.23 No.3

        Purpose: Effective predictors of the response to neoadjuvant chemotherapy (NAC) are still insufficient. This study aimed to investigate the predictive value of serum lipid profiles for the response to NAC in breast cancer patients. Methods: A total of 533 breast cancer patients who had received NAC were retrospectively studied. The pretreatment of serum lipids, including total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and lipoprotein-α, and clinicopathological characteristics were collected to assess their predictive roles. Results: Breast cancer patients had significantly lower TC, TG, HDL-C, and LDL-C levels than normal individuals. Among these indicators, TG and LDL-C levels and HDL-C level increased and decreased significantly after NAC, respectively. In estrogen receptor (ER)-positive patients, increased LDL-C level was associated with better outcomes. Moreover, the receiver operating characteristic curve analyses suggested that TG and HDL-C levels at diagnosis can be used as predictors of the response to NAC only in the ER-positive subgroup. According to univariate analyses, patients with low TG level (< 1.155 mmol/L) or high HDL-C level (≥ 1.305 mmol/L) in the ER-positive subgroup had more favorable clinical responses than the other patients in the subgroup. Furthermore, according to multivariate analyses, a high HDL-C level (≥ 1.305 mmol/L, p = 0.007) was an independent predictor of NAC efficacy. Conclusion: High HDL-C level (≥ 1.305 mmol/L) before NAC and increased LDL-C level after NAC were associated with the better treatment response in ER-positive breast cancer patients. These results are potentially considered beneficial in establishing treatment decisions.

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