1.Effect of Q Chromatography on the Recovery of Human Plasminogen in Affinity Chromatography
Shenglan YUE ; Taojing LI ; Juan LI ; Yan PENG ; Lianzhen LIN ; Yanxiang ZHOU ; Feifei WANG ; Chen ZHU ; Shang WANG ; Deming JI ; Shuangying ZENG ; Yong HU ; Zhijun ZHOU
Chinese Journal of Blood Transfusion 2025;38(10):1382-1388
Objective: To compare quality control (relative purity and specific activity) and process control [plasminogen (Pg) antigen recovery and potency recovery] indexes of samples before and after adding the Q chromatography step to the full chromatography process of human Pg, thereby determining whether the addition of this step could improve Pg recovery by affinity chromatography. Methods: A Q chromatography step was added before the Pg affinity chromatography in the original Pg chromatography process. The loading solution, flow through solution and eluate of Q chromatography and Pg affinity chromatography were collected. The potency of coagulation factor Ⅱ (FⅡ), Ⅶ (FⅦ), Ⅷ (FⅧ), Ⅸ (FⅨ), and Ⅹ(FⅩ) were detected by the coagulation method, the total protein content was detected by the BCA method, and the Pg potency was detected by the chromogenic substrate method. The content of specific plasma proteins was detected by immunoturbidimetry, the potency recovery of coagulation factors was calculated, and the flow direction of coagulation factors was analyzed. The recovery of different plasma protein antigens were calculated, and the distribution of impurity proteins was analyzed. The relative purity and specific activity of Pg, antigen content, and potency recovery in the target fractions were calculated and compared with the original process indicators, so as to determine the effect of adding Q chromatography on the original process. Furthermore, the reproducibility after process modification was assessed. Results: 100% of FⅡ, FⅩ, and FⅨ, 87.81% of FⅧ, and 40.44% of FⅦ in filtered plasma were removed by Q chromatography. The residual FⅦ (53.26%) and FⅧ (13.30%) in Q flow-through fraction were completely removed by Pg affinity chromatography. In both the original process (without Q-chromatography) and the modified process (with Q-chromatography), non-target plasma proteins mainly existed in the flow-through fraction of Pg affinity chromatography. The antigen recovery of IgM, ceruloplasmin (CER), and fibronectin (FNC) in Q-chromatography flow-through fraction were reduced. In contrast, antigen recovery of other plasma proteins [IgG, IgA, Pg, albumin (AlB), alpha-1-antitrypsin (AAT), and fibrinogen (Fg)] were all >90%, which were consistent with the protein composition and proportion in the original affinity chromatography loading solution. Compared with the recovery rate of Pg antigen in the original process (74.4%), the total recovery of Pg antigen in the modified process was significantly increased (89.97%). Compared with the recovery of IgG (97.48%) and Fg (95.32%) in the Pg affinity flows-through fraction of the original process, the modified process resulted in a slight reduction in the recovery of IgG (94.60%), while the recovery of Fg was not affected (95.05%). The potency recovery rate, specific activity, and relative purity of Pg after Q chromatography were 99.3%, 0.016 U/mg, and 0.15%. These values were the same as those of Pg affinity chromatography loading solution by the original process, indicating that introduction of Q chromatography did not affect subsequent Pg affinity chromatography. Compared with the recovery of Pg antigen in three batches of the original process (66.49±1.02)%, the recovery of Pg antigen in the affinity chromatography eluent of the modified process [five batches; (77.43±4.43)%] was significantly improved. Furthermore, the potency recovery was (86.80±4.28)%, the relative purity was (81.99±1.25)%, the specific activity was (8.679±1.073)U/mg, and the process was reproducible. Conclusion: The addition of Q chromatography could improve the recovery of Pg affinity chromatography in the full chromatography process.
2.Changes and distribution of antibodies in plasma before and after infection of SARS-CoV-2 Omicron strain
Zhijun ZHOU ; Shenglan YUE ; Yan PENG ; Jun LIU ; Yunfen WU ; Kun DENG ; Yun ZHANG ; Juan LI ; Kejin CHEN ; Cesheng LI ; Shuangying ZENG ; Yong HU ; Jin ZHANG
Chinese Journal of Blood Transfusion 2023;36(7):578-583
【Objective】 To determine the best collection time period of plasma which can be used for human COVID-19 immunoglobulin for intravenous injection through SARS-CoV-2-IgG change and neutralizing antibody distribution against different virus strain in representative mixed plasma before and after Omicron strain infection by ELISA and pseudovirus neutralization test. 【Methods】 An ELISA method for quantitative detection of SARS-CoV-2-IgG was established and its linear range,accuracy and precision was verified. SARS-CoV-2-IgG potency was detected in 25 convalescent plasma which were collected 20-40 days after confirmed Omicron infection, two groups of mixed plasma samples WP1 and WP2 were prepared according to the SARS-CoV-2-IgG results, and pseudovirus neutralization experiments with different virus strain (prototype strain, BA. 1,BA.2, BA.4/5, BF.7, BQ.1.1) were carried out to determine the distribution of neutralizing antibodies against different virus strain. SARS-CoV-2-IgG potency of representative mixed plasma collected from 14 plasma stations subordinate to the company before and after Omicron strain infection was detected, including Omicron convalescent plasma (OP) collected from different plasma stations from December 2022 to May 2023 and normal pool plasma (VN) feed in March 2023 which collected from March 2022 to December 2022. According to the results, the difference and the change rule with time of SARS-CoV-2-IgG before and after Omicron strain infection were analyzed. 【Results】 The linearity of SARS-CoV-2-IgG ranged from 6.25 to 200 EIU/mL, the accuracy in-batch ranged from 81.793% to 106.985%, the precision in-batch ranged from 1. 100% to 13.000%, and the total error in-batch ranged from 2.988% to 22.679%. The accuracy between batches ranged from 90.788%to 96.893%, the precision between batches ranged from 4.870% to 6.272%, and the total error between batches ranged from 9.192% to 15.399%. The results of pseudovirus neutralizing antibody showed that the potency of different virus strain neutralizing antibodies were in the order of prototype strain>BA.2>BA.4/5>BF.7≈ BQ.1.1>BA.1 and the correlation between WP1 and WP2 was high (Pearson r=0. 931 1, P=0.002 3) which indicated that the potency distribution of neutralizing antibodies of different virus strain in Omicron convalescent plasma was basically stable. Compared with the mixed convalescent plasma sample G128 collected in June 2022, the potency of Omicron neutralizing antibodies of WP series were significantly higher, the ratio of BA.2 antibody to prototype antibody increased from 26.9% (before infection) to 82.6%-87.5% (after infection). The results of VN series before Omicron infection were < 100 EIU/mL, and the results of OP series after Omicron infection showed that the plasma collected from the beginning of December 2022 was the peak of antibody in the same month,and then dropped sharply, entering a short plateau in February-March 2023 (potency was about 40% of the peak value),and then dropped sharply again in April (potency was about 20% of the peak value). 【Conclusion】 The potency and proportion of neutralizing antibody against Omicron subtype in convalescent plasma after COVID-19 Omicron strain infection increased significantly. IgG antibody of plasma donors in different regions reached its peak in the month of infection, then continued to dropped sharply. The best collection period of plasma that can be used for human COVID-19 immunoglobulin for intravenous injection was 1 to 2 months after infection.
3.Effect of renal failure on docetaxel exposure and adverse reactions in breast cancer patients
Juxiang ZHOU ; Shuangying WANG ; Jiantao SHE ; Xianliang ZENG ; Jihong ZHANG
Journal of Pharmaceutical Practice and Service 2022;40(6):571-575
Objective To investigate the influence of renal failure on the area under curve (AUC) and adverse reactions of docetaxel in breast cancer patients, and provide evidence for the dosage of docetaxel in renal failure patients. Methods A retrospective study was conducted on 24 patients with breast cancer who had undergone radical mastectomy and received AC-T adjuvant chemotherapy in our hospital from January 2019 to November 2021. According to renal function cases, the patients were divided into two groups: renal failure group (n=5) and normal renal function group (n=19). The clinical characteristics such as gender, age, body weight and body surface area of patients in two groups, docetaxel dose, blood concentration, area under the curve, liver and kidney function, white blood cell count and absolute value of neutrophil before chemotherapy were collected. Single factor linear regression was used to analyze the influencing factors of the AUC of docetaxel. Adverse reactions after chemotherapy with docetaxel including nausea and vomiting, bone marrow suppression, constipation and liver function injury were collected. CTCAE 4.0 evaluation standard was used to evaluate adverse reactions. Results The clinical characteristics of creatinine [908.0 (819.0, 1018.0) μmol/L vs 54.8 (52.0, 65.0) μmol/L] and creatinine clearance rate [4.9 (4.3, 5.4) ml /min vs 86.3 (59.3, 92.5) ml/min] of the renal failure group and the normal renal function group have significant difference (P<0.001), while no significant difference (P>0.05) were found in the body surface area [1.4 (1.4, 1.5) m2 vs 1. 6 (1.5, 1.6) m2], docetaxel dose [70.4 (69.4, 73.0) mg/m2 vs 74.4 (72.3, 91.2) mg/m2], body weight [(51.4±3.8) kg vs (51.5±5.5) kg]. Liver function, white blood cells and neutrophils were within the normal range before chemotherapy with docetaxel. There was no significant difference in AUC value [(1.6±0.6) mg·h/L vs (1.8±0.8) mg·h/L] between the two groups after chemotherapy with docetaxel (P>0.05). Linear univariate regression analysis indicated that the blood concentration at the end of docetaxel infusion was significantly associated with AUC of docetaxel (P<0.001), while the body surface area, dose of docetaxel, body weight, liver and kidney function were not correlated with AUC of docetaxel (P>0.05). After chemotherapy with docetaxel, adverse reactions of patients in the two groups: nausea and vomiting (grade I incidence: 40% vs. 57.9%, grade II incidence: 60% vs. 42.1%), myelosuppression (grade I incidence: 60% vs. 84.2%, grade II incidence: 20% vs 15.8%) and constipation (all mild constipation) had no significant difference (P>0.05). Conclusion Renal failure did not affect the exposure of docetaxel and the adverse reactions after chemotherapy with docetaxel in breast cancer patients.

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