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Record W4288034424 · doi:10.1097/preprints.20338020.v1

On Various Investigations of the Organ of Corti, from the Effects of Quinine and Quinidine on the Electrical Signature of Outer Hair Cells, to a Method to Prevent Cisplatin Ototoxicity and a New Theory of the Physiological Basis of Electromotility, and the X-Ray Crystalography of Prestin

2022· preprint· en· W4288034424 on OpenAlexfundno aff
Jorge Delgado-Hachmeister, Cindy Shope, Danny Chelius, John S. Oghalai, Raye Lynn Alford, Bobby R. Alford, Brenda S Farrell, Lucy Handscomb, Jonathan Ashmore, Dan Jagger, Issam Saliba, Anat Shahar, Sengyoth Vilaysane, Thomas Lenarz

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldNeuroscience
TopicHearing, Cochlea, Tinnitus, Genetics
Canadian institutionsnot available
FundersFonds de Recherche du Québec - Santé
KeywordsChemistryQuinineHair cellQuinidineMolecular biologyAnatomyMedicineInternal medicineBiologyCochleaPathologyMalaria

Abstract

fetched live from OpenAlex

Jorge Enrique Delgado-Hachmeister, M.D., M.P.H, M.Sc., Ph.D. 1,2, Cindy Shope 5, Daniel Chelius 3, M.D., John S. Oghalai 4, M.D., Raye L. Alford, Ph.D. 5, Bobby R. Alford† 5, M.D., Brenda Farrell, Ph.D 5, Lucy Handscomb, Ph.D. 2, Jonathan Ashmore, Ph.D. 2, Dan Jagger, Ph.D. 2, Issam Saliba, M.D. 7, Sengyoth Vilaysane, M.D. 1, Thomas Lenarz, MD 8, Anat Shahar, Ph.D. 6 Jorge E. Delgado-Hachmeister, M.D. La Salle University Mexican Faculty of Medicine Islas Marianas No. 9, Fracc. Residencial Campestre Chiluca, Atizapán de Zaragoza, C.P. 52930, Edo. de Mex., México Mobile: + 52 55 10 52 81 58 Home Phone: + 52 55 50 19 17 36 e-mail: jorgeenriquedelgadoh@hotmail.com Abstract We decided to investigate if quinine modifies the nonlinear capacitance of the mammalian outer hair cell of the hearing organ of Corti. We used isolated outer hair cells of guinea pigs and performed electrophysiological recordings. We tracked the Voltage at Peak Capacitance of the outer hair cell at different quinine concentrations and also measured the modifications of the bell-shaped curve of the outer hair cell under different quinine concentrations. We also studied if quinine induces apoptosis of the outer hair cell. We show that quinine shifts this bell-shaped curve towards depolarized potentials (>90 mV) and induces a small reduction on the gain (up to 13%). The shifts are fully reversible at low concentrations (< 1 mM) but only partially reversible at high concentrations (> 5 mM). A histological study of guinea pig OHCs confirms that quinine triggers apoptosis in a concentration dependent manner and produces large pores in the plasma membrane at high concentrations. At therapeutic concentrations of quinine that are used to treat malaria (0.04 mM) we find that quinine shifts the voltage at peak capacitance by 1.5 to 3.5 mV. This is significantly greater than observed for chloropromazine ( < 1 mV) and furosemide (no shift) at their relevant clinical concentrations. We demonstrate for the first time that the plausible mechanism by which quinine increases hearing thresholds is by partitioning into the membrane of OHCs where it affects the membrane-based motor mechanism underlying electromotility. Key Words: outer hair cells, voltage at peak capacitance, electromotility, apoptosis, quinine, amphipaths While the actions of quinine on outer hair cell physiology of mammalians have been previously investigated, it remains unknown, the precise mechanism by which quinine induces reversible tinnitus and hearing loss. Also it is unknown why quinine produces in some rare cases irreversible hearing loss. Here we provide definitive evidence that quinine at therapeutic levels for the treatment of Falciparum malaria modifies outer hair cell physiology and electromotilty and also triggers apoptosis in outer hair cells. Proving that the main mechanism by which quinine modifies hearing thresholds is by modifying outer hair cell physiology, probably by interacting with prestin. Level of Evidence: NA

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.004
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.004

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.

Opus teacher head0.027
GPT teacher head0.269
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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