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Investigating the Impact of Sex Hormones in Multiple Sclerosis

M

Milap Sandhu

Status

Not yet enrolling

Conditions

Multiple Sclerosis

Study type

Observational

Funder types

Other

Identifiers

NCT07081594
STU00224323

Details and patient eligibility

About

Emerging evidence indicates that females with MS experience worsened symptoms during the luteal phase (post ovulation) of the menstrual cycle when progesterone levels rise and estradiol fluctuate. The rapid hormonal swings may disrupt hypothalamic regulation, leading to an increase in body temperature - a well-established trigger for MS symptom exacerbation. These hormonal changes could also affect neuromuscular function, as estradiol and progesterone receptors are present in the nervous system and skeletal muscles.

Three critical aspects of motor rehabilitation are corticospinal excitability, motor learning, and fatigability. Previous research indicates that corticospinal excitability and the capacity to learn fine motor tasks fluctuate across menstrual cycles, indicating hormonal influences on neuroplasticity. However, it remains unclear how these hormonal fluctuations specifically affect corticospinal excitability, motor learning, and motor fatigability in females with MS. Understanding these relationships could significantly improve rehabilitation approaches. For example, pre-menopause females with MS may experience a more optimal state for neuroplasticity during the follicular phase of their cycles, therefore providing a potential window for greater rehabilitation efficacy.

Full description

The objective of this project is to systematically examine how hormonal fluctuations pre-menopause influence corticospinal excitability, motor learning, and motor fatigability in females with MS. The study is structured around the following specific aims:

Aim 1: Quantify the effects of estradiol and progesterone levels on corticospinal excitability in pre- menopausal females with MS. We will elicit motor evoked potentials by cortical and subcortical stimulation of corticospinal axons using transcranial magnetic stimulation (TMS).

Aim 2: Evaluate how hormonal fluctuations across menstrual phases impact motor learning ability in pre-menopause females with MS. Participants will be asked to perform a finger sequence motor learning task using visual feedback. The task will be performed using a computer keyboard. Participants will be asked to copy the numerical sequence on a monitor in front of them that pertains to a number on the keyboard with their fingers. Participants will be given three different sequences with equivalent difficulty at each session to avoid carry-over effects between visits.

Aim 3: Determine the relationship between hormonal fluctuations and motor fatigability in pre-menopause females with MS. Participants will perform a maximal voluntary force (MVF). Participants will then be asked to pinch to 80% of their MVF, and maintain this hold for as long as possible1. The trial will end when the force drops below 40% MVF. Two trials in total will be performed. Average time to fatigue (40% MVF) and slope of the drop-off will be calculated as a measure of overall fatigue.

Enrollment

14 estimated patients

Sex

Female

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Age ≥18 years
  • Diagnosis of relapsing-remitting, primary progressive or secondary progressive MS with no minimum years since diagnosis
  • Stable disease modifying therapies for at least 6 months
  • Eumenorrheic females

Exclusion criteria

  • Another diagnosis (e.g., peripheral neuropathies or orthopedic)
  • Pregnancy as confirmed by urine test
  • Irregular menstrual cycles
  • Diagnosis of premenstrual dysphoric disorder or polycystic ovary syndrome
  • Taking antipsychotic medications / does not pass the TMS safety checklist

Trial design

14 participants in 1 patient group

Pre-Menopausal Women
Description:
Naturally cycling women with multiple sclerosis

Trial contacts and locations

0

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Central trial contact

Kailynn Mannella, PhD; Milap Sandhu, PT, PhD

Data sourced from clinicaltrials.gov

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