ReviewEvolution, medicine, and public health2018
Why monkeys do not get multiple sclerosis (spontaneously): An evolutionary approach.
Review in Evolution, medicine, and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 17 citations in OpenAlex.
- Buried Treasure? Overlooked and Newly Discovered Evolutionary Contributions to Human Brain Diseases.Annals of neurology · 2025Review
- A prospective investigation of the effects of soccer heading on cognitive and sensorimotor performances in semi-professional female players.Frontiers in human neuroscience · 2024Article
- Multiple sclerosis and the microbiota: Progress in understanding the contribution of the gut microbiome to disease.Evolution, medicine, and public health · 2022Review
- Secondary Prevention in Radiologically Isolated Syndromes and Prodromal Stages of Multiple Sclerosis.Frontiers in neurology · 2022Review
- State and trait of finger tapping performance in multiple sclerosis.Scientific reports · 2021Article
- Inpatient Rehabilitation: Prediction of Changes in Sensorimotor Performance in Multiple Sclerosis: A Pilot Study.Journal of clinical medicine · 2021Article
- Unraveling Human Brain Development and Evolution Using Organoid Models.Frontiers in cell and developmental biology · 2021Review
- Reverse engineering human brain evolution using organoid models.Brain research · 2020Review
- Thyroid Hormone and Neural Stem Cells: Repair Potential Following Brain and Spinal Cord Injury.Frontiers in neuroscience · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The goal of this review is to apply an evolutionary lens to understanding the origins of multiple sclerosis (MS), integrating three broad observations. First, only humans are known to develop MS spontaneously. Second, humans have evolved large brains, with characteristically large amounts of metabolically costly myelin. This myelin is generated over long periods of neurologic development-and peak MS onset coincides with the end of myelination. Third, over the past century there has been a disproportionate increase in the rate of MS in young women of childbearing age, paralleling increasing westernization and urbanization, indicating sexually specific susceptibility in response to changing exposures. From these three observations about MS, a life history approach leads us to hypothesize that MS arises in humans from disruption of the normal homeostatic mechanisms of myelin production and maintenance, during our uniquely long myelination period. This review will highlight under-explored areas of homeostasis in brain development, that are likely to shed new light on the origins of MS and to raise further questions about the interactions between our ancestral genes and modern environments.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.