Editorial: Advancing therapeutic strategies: exploring ABC transporters and chemicals affecting their expression and function for disease treatment
Bibliographic record
Abstract
ATP-binding cassette (ABC) transporters are ubiquitously expressed multipass membrane proteins that transport ligands across biological membranes, providing multiple critical functions for cellular and organismal physiology. In humans, 48 members of this superfamily are present, of which at least 21 are linked to rare monogenetic disorders, and many are implicated in complex diseases (Moore et al., 2023). These monogenetic disorders result from loss-of-function caused by nonsense or frameshift causing mutations that lead to loss of protein expression, or missense mutations that either cause folding/processing defects or defects in protein function (Dean et al., 2022;Moore et al., 2023).For the cystic fibrosis transmembrane conductance regulator (CFTR/ABCC7), the more than 2100 identified mutants have been classified according to their molecular cell biological and functional phenotypes into six distinct classes: Class I -protein synthesis defect, Class II -maturation defect, Class III -gating defect, Class IV -conductance defect, Class V -reduced quantity, and Class VI -reduced PM stability, with many mutants exhibiting characteristics of more than one class (Veit et al., 2016). CFTR is so far the only ABC transporter targeted by approved modulator drugs that either promote the folding (correctors) or the function (potentiators) of cystic fibrosis (CF)-causing mutants carrying missense mutations. The most efficacious of these modulator drugs, Trikafta, containing the folding corrector tezacaftor, the gating potentiator ivacaftor, and the dual-acting corrector and potentiator elexacaftor, provides unprecedented clinical benefit to patients carrying the most common CF causing mutation F508del and has also been FDA-approved for >170 rare missense mutants (Heijerman et al., 2019;Middleton et al., 2019;Lopes-Pacheco et al., 2021;Veit et al., 2021). The physiological effects of Trikafta therapy are so far incompletely understood, and some rare missense mutants attain no or insufficient correction, thus requiring further modulator development. For CFTR nonsense mutants, predominantly owed to their complex molecular therapeutic phenotypes, modulator therapy is not yet available.It is hoped that similar strategies as for the development of CFTR modulators can be employed to isolate gain-of-function modulators for other ABC transporters. This is exemplified by the responsiveness of a variety of mutant ABC transporters to approved CFTR modulator drugs and 4phenylbutyrate in cell assays (Vauthier et al., 2017). A prerequisite for the wide adoption of such approaches, however, is a better understanding of the structure-function relationship of ABC transporters.In this special Research Topic we collected four studies that use different perspectives on advancing therapeutic strategies for ABC transporters. Three of these studies explore different aspects of modulator therapy for CF.Zajac et al. (Zajac et al., 2023) reported that Trikafta rescues the defective HCO 3 -secretion in F508del homozygous CF airway epithelia to a level corresponding to 80% of that of wild-type (WT) epithelia, which, however did not result in an increase in the airway-surface liquid pH to the WT level. In contrast, treatment with the pro-inflammatory cytokines TNFα and IL-17 dramatically increased the mRNA expression of the Cl -/HCO 3 -exchanger SLC26A4 as well as normalized HCO 3 --secretion and ASL pH, which was further augmented by Trikafta. These results therefore provide further insights into the mechanism that underlies increased CFTR modulator efficacy in the presence of inflammation (Gentzsch et al., 2021;Rehman et al., 2021).Taniguchi et al. isolated novel corrector molecules that are additive to Trikafta for the correction of F508del and rare CFTR missense mutants. The authors used a training set of known CFTR modulators and a machine-learning model to virtually screen over 4 million compounds. This approach identified one compound (FR3) with a distinct mechanism to approved modulators, stabilizing the nucleotidebinding domain 1 of CFTR. FR3 also corrected the defective PM expression of a misfolded mutant ABCB1, thus providing further credence to the idea that modulators can target multiple ABC transporters. FR3 may also show efficacy for ABCA3 mutants with established responsiveness to CFTR correctors (Kinting et al., 2018). Therefore, evaluating the FR3 effect on various misfolded ABC transporters could prove valuable.To study a subset of nonsense mutations, Premchandar et al. developed an affinity purification tandem mass spectrometry pipeline that allows the selective isolation of full-length CFTR molecules to determine the read-through efficacy and to determine the relative incorporation percentages of nearcognate amino acids at the premature termination codons. The authors observed different amino acid misincorporation ratios compared to those found in short reporter constructs, suggesting that the transcript sequence beyond the proximity of PTCs can impact the amino acid incorporation. The consequence of misincorporated amino acids on the CFTR folding and function was investigated and aided in optimizing CFTR modulator combinations. The study, therefore, provides a basis for refined mutation-dependent therapeutic strategies for various CF-causing nonsense mutations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.014 | 0.015 |
| Insufficient payload (model declined to judge) | 0.033 | 0.023 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".