Small RNA sequencing of small extracellular vesicles secreted by umbilical cord mesenchymal stem cells following replicative senescence.

BACKGROUND: Umbilical cord mesenchymal stem cells (UCMSC) are subsets of multipotent stem cells involved in immune modulation, tissue regeneration, and antimicrobial defense. Cellular senescence is associated with the onset of aging-related diseases and small extracellular vesicles (sEVs) are important mediators of senescence and aging. OBJECTIVE: However, little is known about the role and function of microRNAs (miRNAs) carried by UCMSC-derived sEVs. To analyze the expression profiles of miRNAs secreted by senescent UCMSC, small RNA sequencing of the miRNAs within the sEVs was performed in this study. METHODS: UCMSC cultures underwent serial passaging beyond passage number 20 to achieve replicative senescence, which was confirmed by various methods, including increased senescence-associated ß-gal staining and cytokine secretion levels. sEVs derived from non-senescent and senescent UCMSC were isolated and characterized by nanoparticle tracking analysis, transmission electron microscopy, and immunoblot analysis. RESULTS: Small RNA sequencing of the miRNAs within the sEVs revealed senescence-associated differences in the miRNA composition, as shown by the upregulation of miR-122-5p and miR-146a-5p, and downregulation of miR-125b-5p and miR-29-3p. In addition, total RNA sequencing analysis showed that PENK, ITGA8, and TSIX were upregulated, whereas AKR1B10, UNC13D, and IL21R were downregulated by replicative senescence in UCMSC. In sEVs, upregulated genes were linked to downregulated miRNAs, and vice versa. In the gene-concept network analysis, five gynecologic terms were retrieved. CONCLUSIONS: The study provides an insight into the cellular characteristics of UCMSC following replicative senescence and emphasizes the importance of monitoring passage numbers of UCMSC for further therapeutic use.

A new allele, HLA-C*08:228, identified by sequence-based typing in a Korean individual.

The new allele C*08:228 showed one nucleotide difference from C*08:01:01 in codon 36 (TTC -> TTG).

Humoral and Cellular Immune Responses to Vector, Mix-and-Match, or mRNA Vaccines against SARS-CoV-2 and the Relationship between the Two Immune Responses.

We investigated how differences in age, sex, or vaccine type can affect humoral and cellular immune responses after vaccination with vector (ChAdOx1 nCoV-19), mix-and-match (first, ChAdOx1 nCoV-19, and second, BNT162b2), or mRNA (BNT162b2 or mRNA-1273) vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Venous blood was collected from 573 subjects (vector, 396; mix-and-match, 96; and mRNA, 81) before the first vaccination (T0), 7 to 8 weeks (vector) or 3 to 4 weeks (mRNA) after the first vaccination (T1), and 3 to 4 weeks after the second vaccination (T2). The humoral and cellular immune responses were evaluated using Elecsys anti-SARS-CoV-2 (Roche), Alinity SARS-CoV-2 IgG II Quant (Abbott), cPass SARS-CoV-2 neutralization antibody detection (GenScript), and QuantiFERON SARS-CoV-2 (Qiagen) kits. At T1, the levels of the receptor-binding domain antibodies (RBD Ab) and neutralizing antibodies (NAb) decreased with aging, but interferon gamma release (IGR) levels increased. The RBD Ab, NAb, and IGR levels were higher in females than in males at T1 and T2. The NAb levels were higher in the mix-and-match and mRNA vaccine groups than in the vector vaccine group at T2. The RBD Ab and IGR levels were higher in the mRNA vaccine group than in the vector or mix-and-match vaccine groups at T2. The optimal cutoffs for RBD Ab and NAb, which were used to determine the presence of T cell responses, were 5.7 binding antibody units per milliliter (BAU mL-1) and 12.0 IU mL-1, respectively. Age, sex, and vaccine type affected the humoral and cellular immune responses, and T cell responses could be estimated from RBD Ab and NAb levels. IMPORTANCE There have been few studies that comprehensively evaluated factors affecting immune responses and the correlation between humoral and cellular immune responses after vector, mix-and-match, and mRNA vaccines against SARS-CoV-2. Therefore, we analyzed the effects of age, sex, and the different vaccine regimens on the immune responses to vaccination against SARS-CoV-2. The correlation between humoral and cellular immune responses and the cutoffs were derived for RBD antibodies and neutralizing antibodies to predict the presence of the cellular immune responses. In this comprehensive study, we demonstrated that there were differences in the immune responses induced after vaccination depending on the age and sex of an individual. Among the three vaccine regimens, the mix-and-match and mRNA vaccines induced the most robust immune responses. Finally, the proposed optimal cutoffs for RBD and neutralizing antibodies may be useful for predicting cellular immune responses when assays for cellular immune responses are not available.