Humans ; Coronary Artery Disease/therapy* ; Lipoprotein(a) ; Blood Component Removal ; Treatment Outcome

OBJECTIVE: To investigate the changes of platelet count (PLT), plateletcrit (PCT), mean platelet volume (MPV) and platelet distribution width (PDW) before and after apheresis platelet transfusion, the correlation between the parameters and their clinical significance. METHODS: A total of 38 patients who received apheresis platelet transfusion were selected, their results of blood routine test closest to the time point of apheresis platelet transfusion were consulted from hospital information system and the changes of PLT, PCT, MPV and PDW were compared before and after transfusion. The correlation between above parameters was analyzed. The correlation of body mass index (BMI) with the increased multiple and increased value after platelet infusion was also analyzed. RESULTS: Compared with pre-infusion, PLT and PCT significantly increased (both P <0.001) while MPV and PDW showed no significant difference after apheresis platelet transfusion (P >0.05). The difference of PLT and PCT before and after apheresis platelet transfusion had no correlation with PLT and PCT before transfusion (r =0.002, r =0.001), while the difference of MPV and PDW was negatively correlated with MPV and PDW before transfusion (r =-0.462, r =-0.610). The PLT growth rate was positively correlated with PCT growth rate before and after apheresis platelet transfusion (r =0.819). BMI was positively correlated with the increased multiple of PLT after infusion (r =0.721), but not with the increased value of PLT after infusion (r =0.374). CONCLUSION Apheresis platelet transfusion can cause platelet parameters change and shows different characteristics. Characteristic changes of platelet parameters and their correlation can be used as reference indices to evaluate the efficacy of apheresis platelet transfusion.
Humans ; Mean Platelet Volume ; Platelet Transfusion ; Blood Platelets ; Platelet Count/methods* ; Blood Component Removal

OBJECTIVE: To study the expression profiles changes of miRNA in apheresis platelets after 1, 3 and 5 days of storage. METHODS: The apheresis platelets were collected from 20 volunteer blood donors. After mixing fully, the platelets were stored in a shaker with (22±2) ℃ horizontal oscillation. The samples were taken on the 1st, 3rd and 5th day, and used to sequence for miRNAs by DNA nanoball (DNB) sequencing technology, which were named as C_1, C_3 and C_5, respectively. The expression level of platelets miRNA was standardized by transcripts per kilobase million (TPM) algorithm. MiRNAs with P-value < 0.001 and the expression difference of more than two times were considered as significant difference between two groups. The expression of miRNAs was verified by real-time fluorescence quantitative PCR (RT-qPCR). RESULTS: By DNB sequencing, there were 688, 730, and 679 platelet miRNAs expressed in C_1, C_3 and C_5 group, respectively. Cluster analysis showed that the expression profile of miRNAs changed significantly. The expression level of the first 20 high abundance miRNAs was about 4/5 of the total amounts of expressed miRNAs in each group, which the top five miRNAs were miR-21-5p, miR-26a-5p, miR-199a-3p, miR-126-3p, and let-7f-5p. The correlation of high abundance platelet miRNAs among the three groups was high (R2=0.876, R2=0.979, R2=0.937, respectively) and the differences were not statistically significant (P>0.05). Compared with the differential expression of platelet miRNAs with more than 1 000 TPM in the C_3 and C_1 group, there were 6 differentially expressed miRNAs, including 3 up-regulated (miR-146a-5p, miR-379-5p, and miR-486-5p) and 3 down-regulated (miR-652-3p, miR-142-5p, and miR-7-5p). While in the C_5 and C_1 group, there were 4 differentially expressed miRNAs, including 2 up-regulated (miR-146a-5p and let-7b-5p) and 2 down-regulated (miR-30d-5p and miR-142-5p). Compared with the differentially expression of platelet miRNAs between 1-1 000 TPM in the C_3 and C_1 group, there were 133 differentially expressed miRNAs, in which 99 were up-regulated and 34 were down-regulated. While in the C_5 and C_1 group, there were 77 differentially expressed miRNAs, in which 31 were up-regulated and 46 were down-regulated. The six selected differentially expressed miRNAs verified by RT-qPCR were consistent with those of sequencing. CONCLUSION The expression profiles of platelets miRNAs change significantly among 1, 3, and 5 d of storage in vitro.
Blood Component Removal ; Blood Platelets ; Cluster Analysis ; Gene Expression Profiling ; Humans ; MicroRNAs/genetics*

OBJECTIVE: To investigate the changes of gene sequencing and proteomics of apheresis platelet (AP) exosomes in different storage periods and predict the function of AP exosomes in different storage periods. METHODS: Platelets at different storage periods of 0 day (D0), 3 day (D3) and 5 day (D5) were collected, exosomes were extracted with Gradient centrifugation; gene sequencing and proteomic analysis were used to analyze the exosomes, and biological functions of platelet exosomes were analyzed and predicted by bioinformatics. Liquid mass spectrometry (LMS) was used to detect the changes and function prediction of exosomes proteins. The small RNA sequencing library was prepared, and the constructed library was sequenced and bioinformatics technology was used for data analysis. RESULTS: AP exosome iTRAQ protein analysis showed that AP exosomes stored in D3 with 55 up-regulated proteins and 94 down-regulated proteins (P<0.05, FC<0.83 or FC>1.2), while AP exosomes stored in D5 with 292 up-regulated proteins and 53 down-regulated proteins (P<0.05, FC<0.83 or FC>1.2) as compared with D0. KEGG pathway analysis showed that the proteins were mainly involved in transport and metabolism, immune system, cancer, membrane transport and other processes. There were statistically significant differences between AP exosome miRNAs in different storage days (P<0.01). The number of miRNA up-regulated and down-regulated was 374 and 255 as compared with the number of platelet exosomes miRNA stored in D3 and D0, while that was 297 and 242 in D5 and D0, and 252 and 327 in D5 and D3, respectively. The target genes of differential platelet exosome miRNAs were analyzed by GO enrichment. Target genes of differential miRNA were mainly involved in membrane composition, mainly played molecular functions binding to proteins, and participated in biological processes of transcriptional regulation. CONCLUSION The exosome differential proteins and miRNAs in D5 are significantly different from those in the D0 of APs, and they are involved in various biological processes.
Blood Component Removal ; Blood Platelets/metabolism* ; Exosomes/metabolism* ; Humans ; MicroRNAs/genetics* ; Proteomics

Objective: We evaluated the safety and efficacy of lipoprotein apheresis (LA) in patients with familial hypercholesterolemia (FH) who can't reach low-density lipoprotein cholesterol(LDL-C) target goals with the maximal tolerated dose of lipid-lowering agents. Methods: This was a retrospective cross-sectional study. Between February 2015 and November 2019, patients with FH who were admitted in Fuwai hospital and treated with LA were consecutively enrolled. Based on intensive lipid-lowering agents, these patients received LA by double filtration plasma pheresis (DFPP) method. The changes of lipid levels such as LDL-C and lipoprotein(a)[Lp(a)] were compared before and after LA treatment, and the changes of immunoglobulin (Ig) concentration and LA-related adverse effects were also discussed. Results: A total of 115 patients with FH were enrolled in this study, of which 8 cases were homozygous FH and 107 cases were heterozygous FH. The age was (43.9±12.2) years and there were 75 (65.2%) males, and 108 (93.8%) with coronary artery disease. For pre-and immediately after LA treatment, the LDL-C was (5.20±2.94) mmol/L vs. (1.83±1.08) mmol/L, Lp(a) concentration was 428.70(177.00, 829.50)mg/L vs. 148.90(75.90, 317.00) mg/L (P<0.001), with a decrease of 64.2% and 59.8% respectively. The levels of IgG and IgA measured 1 day after LA treatment were both in the normal range and IgM concentration was below the reference value, the reductions of which were 15.1%, 25.0% and 58.7% respectively (P<0.001). Six patients had mild symptoms of nausea, hypotension dyspnea and palpitation, the symptoms were relieved by symptomatic treatment. Conclusion: For patients with FH who do not achieve LDL-C target goal with the maximal tolerated lipid-lowering agents, especially those with elevated Lp(a) levels, LA, which can significantly further reduce LDL-C and Lp(a) levels, is an effective and safe option.
Adult ; Blood Component Removal/methods* ; Cholesterol, LDL ; Cross-Sectional Studies ; Female ; Humans ; Hyperlipoproteinemia Type II/therapy* ; Lipoprotein(a)/chemistry* ; Lipoproteins/chemistry* ; Male ; Middle Aged ; Retrospective Studies

BACKGROUND: It is very important to accurately enumerate CD34-positive (CD34+) cells for successful hematopoietic stem cell transplantation (HSCT). We evaluated the ability of the newly developed image based-immunofluorescence cell counter ADAMII (NanoEntek, Seoul, Korea) to enumerate CD34+ cells, which was improved through simultaneous CD45 analysis. METHODS: We enumerated CD34+ cells with ADAMII using 19 peripheral blood (PB) and 91 leukapheresis samples from HSCT donors. Analytical performance, including precision and linearity, was analyzed, and sample stability during storage was evaluated. Viable CD34+ cell count (vCD34) and viable CD45+ cell count (vCD45) and the percentage of viable CD34+ cells among viable CD45+ cells (CD34/CD45) as measured by ADAMII were compared with the corresponding values from two flow cytometry assays, using regression analysis. RESULTS: ADAMII demonstrated acceptable precision, as CV values of vCD34 from six samples with different counts were all < 10% (range: 3.49–9.51%). CV values of the vCD45 and CD34/45 ranged from 4.03% to 9.67% and from 2.48% to 10.07%, respectively. The linearity of vCD34 showed an excellent R 2 value (0.99) when analyzed using the intended count and flow cytometry data. The ADAMII and two flow cytometry-based assays generated very similar data for the PB and leukapheresis samples. CONCLUSIONS: ADAMII demonstrated excellent performance for use as a routine clinical assay in terms of CD34+ cell enumeration from PB and leukapheresis samples. Moreover, it could be used as a point-of-care-test for determining mobilization time and predicting an adequate apheresis stem cell product.
Blood Component Removal ; Cell Count ; Flow Cytometry ; Fluorescence ; Hematopoietic Stem Cell Transplantation ; Humans ; Leukapheresis ; Seoul ; Stem Cells ; Tissue Donors

BACKGROUND: Granulocyte transfusion (GTx) is performed as a supportive therapy in severe neutropenic patients caused by various conditions. The study aimed to analyze the hematologic parameters of donors, patients, and granulocyte concentrates to predict successful GTx. METHODS: This study was performed in 281 donors, with their granulocyte concentrates being collected through apheresis, and in 54 severe neutropenic patients who had various hematologic diseases. Complete blood cell counts of donors pre- and post-apheresis, granulocyte concentrates, and patients pre- and post-GTx were analyzed. Patients were divided into two groups according to survival at discharge (Group S, survival; Group D, dead) to compare various factors including age, infection status, pre- and post-GTx total white blood cell counts (TWBCC) and absolute neutrophil counts (ANC), total number of GTx, infused TWBCC and ANC per weight, and use of G-CSF during therapy. RESULTS: Overall data of patients showed that both TWBCC and ANC were significantly increased after GTx (median values at pre-GTx, TWBCC=0.40×109/L, ANC=0.14×109/L; post-GTx, TWBCC=0.57×109/L, ANC=0.29×109/L, both P<0.0001). After GTx, Group S (N=25) showed significantly higher TWBCC and ANC than Group D (N=29) (P=0.01 and P=0.04, respectively). Using different cutoff levels, post-GTx TWBCC greater than 0.5×109/L showed statistically significant difference between the two groups (P<0.01). None of the other factors showed statistically significant differences. CONCLUSION: The TWBCC and ANC after GTx were significant factors to predict patients' outcome. Therefore, follow-up of those two parameters may be helpful to select or consider other therapeutic modalities including additional GTx.
Blood Cell Count ; Blood Component Removal ; Follow-Up Studies ; Granulocyte Colony-Stimulating Factor ; Granulocytes ; Hematologic Diseases ; Humans ; Leukocyte Count ; Neutropenia ; Neutrophils ; Tissue Donors

Transfusion-related acute lung injury (TRALI) is defined as a new episode of acute lung injury that occurs during or within 6 hours of a completed transfusion, which is one of the leading causes of transfusion-related morbidity and mortality. We present a case of TRALI in a 29-year-old parturient with myelodysplastic syndrome scheduled for cesarean section. The parturient developed hypoxemia and dyspnea after preoperative transfusion of platelets following apheresis to eliminate a unit of leucocyte in order to correct thrombocytopenia. She underwent emergent caesarean section for fetal distress. After surgery, the chest radiograph showed diffuse haziness of both lung fields. Direct and indirect antiglobulin tests were negative, and hemolytic transfusion reaction was ruled out. Pro-BNP 347.3 pg/ml also excluded transfusion-associated circulatory overload. The parturient completely recovered after oxygen support for 2 days. It is important to recognize TRALI as soon as possible to minimize perioperative morbidity and mortality.
Acute Lung Injury* ; Adult ; Anoxia ; Blood Component Removal ; Cesarean Section ; Coombs Test ; Dyspnea ; Female ; Fetal Distress ; Humans ; Lung ; Mortality ; Myelodysplastic Syndromes* ; Oxygen ; Pregnancy ; Radiography, Thoracic ; Thrombocytopenia ; Transfusion Reaction

BACKGROUND: Smoking, alcohol use, performing regular physical exercise, dietary habits, and anxiety level may cause platelet activation. We aimed to evaluate the anxiety levels, smoking status, alcohol intake, and sportive habits of donors, and determine their impact on the quality of apheresis-platelets.METHODS: State and Transient Anxiety Inventory (STAI) was used to determine the level of donors' anxiety. STAI has two subscales: S-anxiety scale (STAI-I) and T-anxiety scale (STAI-II), each comprising 20 questions rated on a 4-point Likert scale. Data on smoking, alcohol consumption, and performing regular physical exercise were obtained from a questionnaire filled out before donation. Flow cytometric analysis was used to quantify activated platelets.RESULTS: The STAI-I level of 86 participants was normal, while that of 12 was higher. No significant difference was found in the active platelet absolute count [1.8×10¹¹ (2.7) and 1.4×10¹¹ (1.3), respectively; P=0.665] between donors with normal STAI-I levels and those with higher STAI-I levels. Of 98 donors, 42 had normal STAI-II levels, while 56 had higher STAI-II levels. No significant difference was found in the active platelet absolute count [2.3×10¹¹ (3.1) and 1.5×10¹¹ (2.3), respectively; P=0.224] between donors with normal STAI-II levels and those with higher STAI-II levels. Platelet counts of individuals who perform regular physical exercise were significantly higher than those of individuals who did not perform regular physical exercise (6.3±1.4×10¹¹ vs. 5.5±1.4×10¹¹).CONCLUSION: The quality of apheresis platelets is not affected by anxiety levels and lifestyle characteristics of blood donors. There is no need to organize apheresis blood donor pool considering with these subjects.
Alcohol Drinking ; Anxiety ; Blood Component Removal ; Blood Donors ; Blood Platelets ; Exercise ; Food Habits ; Humans ; Life Style ; Platelet Activation ; Platelet Count ; Smoke ; Smoking ; Tissue Donors

BACKGROUND: Bendamustine is a chemotherapeutic agent that has shown broad activity in patients with lymphoid malignancies. It contains both alkylating and nucleoside analog moieties, and thus, is not commonly used for stem cell mobilization due to concerns that it may adversely affect stem cell collection. Here we describe the lymphoma subset of a prospective, non-randomized phase II study of bendamustine, etoposide, and dexamethasone (BED) as a mobilization agent for lymphoid malignancies. METHODS: This subset analysis includes diffuse large B-cell lymphoma (N=3), follicular lymphoma (N=1), primary mediastinal B-cell lymphoma (N=1), and NK/T-cell lymphoma (N=1). Patients received bendamustine (120 mg/m² IV d 1, 2), etoposide (200 mg/m² IV d 1–3), and dexamethasone (40 mg PO d 1–4) followed by filgrastim (10 mcg/kg/d sc. through collection). RESULTS: We successfully collected stem cells from all patients, with a median of 7.9×10⁶/kg of body weight (range, 4.4 to 17.3×10⁶/kg) over a median of 1.5 days (range, 1 to 3) of apheresis. All patients who received transplants were engrafted using kinetics that were comparable to those of other mobilization regimens. Three non-hematologic significant adverse events were observed in one patient, and included bacterial sepsis (grade 3), tumor lysis syndrome (grade 3), and disease progression (grade 5). CONCLUSION: For non-Hodgkin lymphoma, mobilization with bendamustine is safe and effective.
Autografts* ; Bendamustine Hydrochloride* ; Blood Component Removal ; Body Weight ; Dexamethasone* ; Disease Progression ; Etoposide* ; Filgrastim ; Hematopoietic Stem Cell Mobilization ; Hematopoietic Stem Cells* ; Humans ; Kinetics ; Lymphoma ; Lymphoma, B-Cell ; Lymphoma, Follicular ; Lymphoma, Non-Hodgkin* ; Prospective Studies ; Sepsis ; Stem Cells ; Transplantation, Autologous* ; Tumor Lysis Syndrome