Back

Extended Absorption Of Liothyronine From Poly-Zinc Liothyronine (Pzl) In Humans

Dumitrescu, A.; Hanlon, E. C.; Arosema, M.; Duchon, O.; Ettleson, M.; Giurcanu, M.; Bianco, A.

2021-06-15 endocrinology
10.1101/2021.06.14.21258437 medRxiv
Show abstract

BackgroundLiothyronine (LT3) has been increasingly used in combination with levothyroxine (LT4) in the treatment of hypothyroidism. A metal coordinated form of LT3, known as poly-zinc-liothyronine (PZL), avoided in rats the typical T3 peak seen after oral administration of LT3. ObjectivesTo evaluate in healthy volunteers (i) the pharmacokinetics of PZL-derived T3 after a single dose, (ii) the pharmacodynamics of PZL-derived T3, (iii) monitoring for the adverse events; (iv) exploratory analysis of the sleep patterns after LT3, PZL or placebo administration. Methods12 healthy volunteers 18 to 50 years of age were recruited for a Phase 1, double-blind, randomized, single-dose placebo-controlled, cross-over study to compare PZL against LT3 or placebo. Subjects were admitted three separate times to receive a randomly assigned capsule containing placebo, 50-mcg LT3, or 50-mcg-PZL, and were observed for 48h. A 2-week washout period separated each admission. ResultsLT3-derived serum T3 levels exhibited the expected profile, with a Tmax at 2h and return to basal levels by 24-36h. PZL-derived serum T3 levels exhibited a [~]30% lower Cmax that was 1 h delayed and extended into a plateau that lasted up to 6h. This was followed by a lower but much longer plateau; by 24 hours serum T3 levels still exceeded [1/2] of Cmax. TSH levels were similarly reduced indistinguishably in both groups. ConclusionPZL possesses the necessary properties to achieve a much improved T3 pharma-cokinetic. Drug product development of PZL should improve the delivery of T3 even further. PZL is on track to provide hypothyroid patients with stable levels of serum T3.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.