| Literature DB >> 33861634 |
Saket Agarwal1, Ruth Allard1, Justin Darcy1, Samantha Chigas1, Yongli Gu1, Tuyen Nguyen1, Sarah Bond1, Saeho Chong1, Jing-Tao Wu1, Maja M Janas1.
Abstract
Serum protein interactions are evaluated during the drug development process since they determine the free drug concentration in blood and thereby can influence the drug's pharmacokinetic and pharmacodynamic properties. While the impact of serum proteins on the disposition of small molecules is well understood, it is not yet well characterized for a new modality, RNA interference therapeutics. When administered systemically, small interfering RNAs (siRNAs) conjugated to the N-acetylgalactosamine (GalNAc) ligand bind to proteins present in circulation. However, it is not known if these protein interactions may impact the GalNAc-conjugated siRNA uptake into hepatocytes mediated through the asialoglycoprotein receptor (ASGPR) and thereby influence the activity of GalNAc-conjugated siRNAs. In this study, we assess the impact of serum proteins on the uptake and activity of GalNAc-conjugated siRNAs in primary human hepatocytes. We found that a significant portion of the GalNAc-conjugated siRNAs is bound to serum proteins. However, ASGPR-mediated uptake and activity of GalNAc-conjugated siRNAs were minimally impacted by the presence of serum relative to their uptake and activity in the absence of serum. Therefore, in contrast to small molecules, serum proteins are expected to have minimal impact on pharmacokinetic and pharmacodynamic properties of GalNAc-conjugated siRNAs.Entities:
Keywords: ASGPR; GalNAc conjugate; RNAi; protein binding; siRNA
Mesh:
Substances:
Year: 2021 PMID: 33861634 PMCID: PMC8377513 DOI: 10.1089/nat.2020.0919
Source DB: PubMed Journal: Nucleic Acid Ther ISSN: 2159-3337 Impact factor: 5.486
Designs, Sequences, and Target Messenger RNAs of the Small Interfering RNAs Used in This Study
| Compound | Strand | Sequence (5′–3′) | Target | Target accession number |
|---|---|---|---|---|
| AD-60519 | S | c•a•gaaaGaGuGuCuCaucuuaL | NM_000688 | |
| AS | u•A•AGaUgAgAcAcUcUuUcUg•g•u | |||
| siRNA2 | S | Proprietary[ | NM_001127701 | |
| AS | Proprietary[ | |||
| AD-65644 | S | g•a•auguGaaAGucaucgacaaL | NM_017545 | |
| AS | u•U•gucGaUGacuuUcAcauuc•u•g | |||
| AD-64543 | S | c•a•CuGuGaCUGuGgCcUcCaAL | NM_153609 | |
| AS | u•U•gGaGgCcAcagUcAcAgUg•c•u | |||
| AD-68435 | S | u•g•ugcaAuGAAaggcaaauauL | NM_000133 | |
| AS | a•U•auuUgCCuuucAuUgcaca•c•u |
L
S and AS represent sense and antisense strands; uppercase and lowercase letters indicate 2′-deoxy-2′-fluoro (2′-F) and 2′-O-methyl (2′-OMe) ribosugar modifications, respectively.
Design similar to GalNAc-conjugated siRNAs described in this table; • indicates phosphorothioate linkage; L indicates the trivalent GalNAc ligand (structure above).
AAT, alpha-1 antitrypsin; ALAS1, aminolevulinic acid synthase; F9, coagulation factor IX; GalNAc, N-acetylgalactosamine; HAO1, hydroxy acid oxidase 1; siRNA, small interfering RNA; TMPRSS6, transmembrane serine protease 6.
Reverse Transcription–Quantitative Polymerase Chain Reaction Primer and Probe Designs for Small Interfering RNA Quantification
| siRNA | Primer | Sequence (5′–3′) |
|---|---|---|
| AD-60519 | Stem–loop | GTCGTATCCAGTGCAGGGTCCGAGGTATTCGCACTGGATACGACACCAGAAAGA |
| Forward qPCR | GCCGCGCTAAGATGAGACA | |
| TaqMan probe | CTGGATACGACACCAGAAA | |
| siRNA2 | Stem–loop | Proprietary |
| Forward qPCR | Proprietary | |
| TaqMan probe | Proprietary | |
| AD-65644 | Stem–loop | GTCGTATCCAGTGCAGGGTCCGAGGTATTCGCACTGGATACGACCAGAATGTGA |
| Forward qPCR | GCCGTTGTCGATGACTTT | |
| TaqMan probe | TGGATACGACCAGAATG | |
| AD-64543 | Stem–loop | GTCGTATCCAGTGCAGGGTCCGAGGTATTCGCACTGGATACGACAGCACTGTGA |
| Forward qPCR | GCTTGGAGGCCACAGTC | |
| TaqMan probe | TGGATACGACAGCACT | |
| AD-68435 | Stem–loop | GTCGTATCCAGTGCAGGGTCCGAGGTATTCGCACTGGATACGACAGTGTGCAATG |
| Forward qPCR | GCCGCGCATATTTGCCTTTC | |
| TaqMan probe | CTGGATACGACAGTGTGC | |
| Universal | Reverse qPCR | GTGCAGGGTCCGAGGT |
qPCR, quantitative polymerase chain reaction.
Reverse Transcription–Quantitative Polymerase Chain Reaction Primer and Probe Designs for Messenger RNA Knockdown Assessment
| siRNA | Target | Catalog no. (Thermo Fisher Scientific) |
|---|---|---|
| AD-60519 | Hs00963537_m1 | |
| siRNA2 | Hs00165475_m1 | |
| AD-65644 | Hs00213909_m1 | |
| AD-64543 | Hs00542191_m1 | |
| AD-68435 | Hs01592597_m1 |
Percent of N-acetylgalactosamine-Conjugated Small Interfering RNA Bound to Proteins in Varying Concentrations of Fetal Bovine or Human Serum
| GalNAc-conjugated siRNA | Serum | 20% | 40% | 60% | 80% | 100% |
|---|---|---|---|---|---|---|
| AD-60519 | Bovine | 11.7 ± 7.0 | 58.4 ± 6.9 | 71.4 ± 3.4 | 75.4 ± 1.8 | 81.8 ± 2.8 |
| AD-65644 | Human | NT | NT | 65.5 ± 1.2 | NT | NT |
| AD-64543 | Human | NT | NT | 71.8 ± 0.6 | NT | NT |
NT, not tested.
FIG. 1.Minimal impact of human serum proteins on GalNAc-conjugated siRNA uptake in human hepatocytes. Primary human hepatocytes were treated with 16 nM (∼0.26 μg/mL) or 200 nM (∼3.2 μg/mL) AD-60519 (A), siRNA2 (B), AD-65644 (C), AD-64543 (D), or AD-68435 (E) by free uptake in the absence of human serum or presence of 60% human serum. After 48 h of incubation, the siRNA level in the lysate was assessed by stem–loop RT-qPCR and absolute values obtained were plotted. Each bar represents the average of three replicates. Error bars represent standard deviation. GalNAc, N-acetylgalactosamine; RT-qPCR, reverse transcription–quantitative polymerase chain reaction; siRNA, small interfering RNA. Color images are available online.
FIG. 2.Minimal impact of human serum proteins on GalNAc-conjugated siRNA activity in human hepatocytes. Primary human hepatocytes were treated with increasing concentrations of AD-60519 (A), AD-61444 (B), AD-65644 (C), AD-64543 (D), or AD-68435 (E) by free uptake in the presence of varying concentrations of human serum (0%, 10%, 40%, or 60%, v/v). After 48 h, ALAS1 (A), AAT (B), HAO1 (C), TMPRSS6 (D), or F9 (E) mRNA levels, respectively, were assessed by RT-qPCR and percent of mRNA remaining was plotted. The range of the tested concentrations for each of these GalNAc-conjugated siRNAs was adjusted based on their varying potencies. Each data point is the mean of three replicates, which is represented relative to the average of the no GalNAc-conjugated siRNA treatment group (mock). Each percent serum treatment group was analyzed and compared with its respective mock. Error bars represent standard deviation. AAT, alpha-1 antitrypsin; ALAS1, aminolevulinic acid synthase; F9, coagulation factor IX; HAO1, hydroxy acid oxidase 1; mRNA, messenger RNA; TMPRSS6, transmembrane serine protease 6. Color images are available online.