Mental Health: Global Challenges Journal
https://www.sciendo.com/journal/MHGCJ
ISSN 2612-2138
Literature review
The association between Autism Spectrum Disorder
and Chronic Fatigue Syndrome. A Care Plan
Perspective
Nida Khubaib
Children & Young People Mental Health Services, Leeds Community Healthcare Trust, Leeds, England
Abstract
Introduction:
Autism spectrum disorder (ASD) is a neurodevelopmental condition that shares
clinical features with chronic fatigue syndrome (CFS), a condition affecting the neurological
and immune systems. Emerging evidence suggests a potential link between the two conditions,
including shared genetics and neuropathology. However, there is a paucity of data and lack of
conclusive evidence to draw any definite associations.
Purpose This review aims to gather available evidence to determine whether an association
exists between autism and CFS and to report on published findings.
Methodology:
The search was conducted on databases PUBMED, MEDLINE and Google
Scholar. Eligibility criteria included studies examining the association between autism spectrum
disorder (ASD) and chronic fatigue syndrome (CFS). Exclusion criteria included 1) studies that
reported on autism and chronic fatigue syndrome separately 2) studies that evaluated the
association of autism with conditions other than CFS and 3) and studies that looked at the
association of CFS with conditions other than autism. Non-Engl
ish language studies were
excluded.
Results: A total of eight articles were reviewed for the study and the reported findings indicates
the complex relationship between autism and co-morbid physical health conditions.
Conclusion: This study highlights the need for enhanced awareness among
mental health
practitioners regarding the complex interplay between autism and co-occurring physical health
conditions like CFS presenting in children and young people and appropriate management of
physical health symptoms as part of the overall care plan.
Keywords
Mental Health, autism, autism spectrum disorder, chronic fatigue syndrome, myalgic
encephalomyelitis, care plan.
Address for correspondence:
Nida Khubaib, MBBS, MSc Public Health, MRCPsych; Children & Young People Mental Health
Services, Leeds Community Healthcare Trust, Leeds, England
Address: Parkside Community Health Centre, Leeds, LS11 5LQ
E-mail: nida.khubaib@nhs.net
This work is licensed under a Creative Commons Attribution- 4.0 International License (CC
BY 4.0).
©Copyright: Khubaib, 2025
Publisher: Sciendo (De Gruyter)
DOI: https://doi.org/10.56508/mhgcj.v8i1.265
Submitted for publication:
01 May 2025
Revised: 16 June 2025
Accepted for publication:
23 June 2025
6
60
Mental Health: Global Challenges Journal
https://www.sciendo.com/journal/MHGCJ
ISSN 2612-2138
Introduction
Autism spectrum disorder (ASD) is a
neurodevelopmental condition, characterized by
social interaction and communication difficulties,
repetitive and restricted interests, and sensory
behaviours (DSM-5, 2013). On the other hand,
chronic fatigue syndrome (CFS), also referred to
as myalgic encephalomyelitis (ME), is a complex
disease involving widespread inflammation and
dysregulation of the central nervous system (CNS)
and immune system (Carruthers et al, 2011).
There is evidence to suggest that people with ASD
and CFS share overlapping clinical
characteristics, including fatigue, low mood,
anxiety, and reduced self-efficacy, which
impacts upon their overall functioning (Rogers et
al, 2017). It has been reported that unexplained
chronic fatigue and increased sensitivity to pain
are common in both ASD and CFS (Forde et al,
2022, Mariman et al, 2013 and Keville et al,
2021). In addition, sleep difficulties, brain fog and
variable deficits in emotional awareness have
also been observed in both groups (Maroti et al,
2017, Mariman et al, 2013, Devnani et al, 2015,
and Ocon, 2013).
However, some recent explorations have ruled
out a direct link between ASD and CFS
(Bileviciute-Ljungar et al, 2018). Although CFS and
ASD are distinct diagnoses, certain situations can
be challenging; for instance, when a person with
social interaction difficulties presents with
unexplained fatigue at a young age. Although
autism typically presents in early childhood (DSM-
5, 2013) and CFS usually affects middle-aged
adults (Chu et al, 2019 and Bakken et al, 2014), it
is not uncommon for a fatigued, emotionally
detached CFS patient to be referred for an ASD
assessment. On the other hand, patients with ASD
are often evaluated in physical health clinics to
assess for a CFS co-morbidity that could explain
their chronic mental and physical fatigue.
Purpose
There is currently very limited data on the
association between ASD and CFS. The aim of
this review is to gather evidence and examine
potential associations between autism and
chronic fatigue syndrome and explore the
possibility of shared genetic influences and similar
neuropathology between the two conditions.
Additionally, the study also aims to review recent
findings around the possible role of anti-
inflammatory drugs in the treatment of ASD and
CFS considering the role of inflammatory
processes involved in the pathogenesis of both
conditions.
Methodology
Literature search was performed on
databases PUBMED, MEDLINE and Google
Scholar. Eligibility criteria included all studies that
looked at the association between autism
spectrum disorder (ASD) and chronic fatigue
syndrome (CFS). Exclusion criteria included 1)
studies that reported on autism and chronic
fatigue syndrome separately 2) studies that
evaluated the association of autism with
conditions other than CFS and 3) and studies that
looked at the association of CFS with conditions
other than autism. Studies published in a
language other than English were also excluded.
On PUBMED, searching with MeSH terms
"autism"[MeSH] AND "chronic fatigue
syndrome"[MeSH] yielded 47 articles. After
applying filters for English language, full text
availability and search field (abstract/title), 28
articles were short listed. Out of those, only 4
articles met the eligibility criteria. Full text was not
available for 1 article. This completed the search
with 3 articles. Further advanced search on
PUBMED using key words “autism spectrum
disorder”, “autism spectrum condition” and
“myalgic encephalomyelitis” did not yield any
additional results. On MEDLINE, search was
conducted using the key words “autism” AND
“chronic fatigue syndrome”. The initial search
yielded 26 results. After applying the
inclusion/exclusion criteria, search was narrowed
down to 3 articles, out of which only 2 were new
searches. Google Scholar was searched using
key words “autism spectrum condition” AND
“chronic fatigue syndrome”. Initial search yielded
79 results. No additional articles were retrieved
after searching with MeSH terms “autism”[MeSH]
AND “myalgic encephalomyelitis”[MeSH] and
after applying advanced search filters for time
(anytime), relevance, and type of articles (any
type). 7 articles were shortlisted after excluding
books and applying inclusion/exclusion criteria.
Out of these, 4 were new searches, and full text
was available for only 3 articles, which were
added to the search. This concluded the
literature search with a total of 8 articles for review
(see Figure 1. Flow chart). No systematic reviews
or meta-analyses on the topic of interest were
identified during the literature search.
Ethical considerations
The review was conducted in a responsible
and respectful manner, ensuring transparency,
honesty and integrity of the research process.
Although no direct patient data was collected for
the purpose of this review, all efforts were made
to ensure that the publicly available data and
published papers were collected and reviewed
ethically.
61
Mental Health: Global Challenges Journal
https://www.sciendo.com/journal/MHGCJ
ISSN 2612-2138
Figure 1: Search strategy for selection of studies
Flowchart
PUBMED
n=47
(Filters applied)
English
language n= 47
Full text n= 47
Title/Abstract containing
meSH terms
autism
and
CFS
n= 28
n=3
n=4
Old searches
New searches
Old searches n=1
New
searches n=2
Full text available n=3
After applying inclusion/
exclusion criteria
n= 3
After applying inclusion/
exclusion criteria
n= 3
After applying inclusion/
exclusion criteria (books
were excluded)
n= 7
MEDLINE n= 26
(Filters applied)
English Language n= 26
Studies on humans n=26
Abstract available n=26
Full text available n=4
Google Scholar n= 79
(Advanced Search filters
applied)
Articles containing MeSH terms
autism and CFS n=79
Articles containing MeSH terms
autism and ME n=79
Time: anytime
Type of articles: any type
Sort by relevance
PUBMED
n= 47
MEDLINE n= 26
Google Scholar n= 79
Total number of articles
n= 8
62
Mental Health: Global Challenges Journal
https://www.sciendo.com/journal/MHGCJ
ISSN 2612-2138
Results
A total of eight articles explored the
association between autism spectrum disorder
and chronic fatigue syndrome. Research
indicates that autistic individuals have a higher
prevalence of co-occurring medical conditions
compared to the general population (Grant et al,
2022), however, the underlying mechanisms are
not well understood. There is evidence to suggest
that central sensitivity syndromes (CSS), which
include chronic fatigue syndrome (CFS), are
more prevalent among people with autism
(Grant et al, 2022). Grant et al (2022) investigated
the occurrence of CSS diagnoses and symptoms
in autistic individuals using a Central Sensitization
Inventory (CSI). They reported that in a large
sample of 973 participants, about 4.5% of
people with autism reported a co-occurring
diagnosis of CFS. Although higher scores on the
CSI appeared to be related to stronger autistic
traits, the path analysis suggested that this
relationship was mediated by sensory sensitivity
and anxiety, implying that these two variables
could increase the vulnerability to conditions like
CFS, rather than autism per se (Grant et al, 2022).
Kentrou et al (2024) explored the frequency of
perceived psychiatric misdiagnoses in autistic
individuals before receiving an autism diagnosis.
They reported that about 4% of autistic individuals
who had received a diagnosis of CFS prior to
autism diagnosis, perceived it as a misdiagnosis.
It is interesting to note that most patients were
diagnosed with autism after the age of 18; this
was attributed to autistic traits being potentially
misinterpreted as symptoms of other conditions
like anxiety disorders, CFS/burnout-related
disorders and fibromyalgia etc (Kentrou et al,
2024).
Keville et al captured the mothers’
experiences of co-occurring fatigue in children
with autism spectrum disorder (Keville et al, 2021).
They analyzed semi-structured interviews from
mothers of children with ASD aged 419 who also
had severe levels of co-occurring fatigue.
Mothers reported that their children’s fatigue was
mostly a result of culmination of everyday life,
social interactions and sensory demands (Keville
et al, 2021). It is interesting to note that even
when the child had a formal diagnosis of CFS,
their mother continued to seek their own
explanations for fatigue and did not agree with
the diagnosis (Keville et al, 2021). The study
reported that children with ASD experienced
excessive tiredness and intense day time fatigue
which was more unusual than the general
population and significantly affected the
children’s ability to function (Keville et al, 2021).
They argued that the autistic fatigue was different
from the fatigue seen in CFS and that individuals
diagnosed with CFS (in the absence of a known
medical explanation for fatigue) did not show
autistic traits (Bileviciute-Ljungar et al,2018 and
Keville et all, 2021).
Bileviciute-Ljungar et al (2018) examined
whether there was an association between ASD
and CFS and whether individuals with CFS would
score higher on the autism-spectrum quotient
(AQ) when compared to healthy controls. They
found that patients with ASD scored significantly
higher on the AQ as compared to the CFS and
control groups. However, no differences in AQ
scores were found between patients with CFS
and healthy controls (Bileviciute-Ljungar et al,
2018).
Konyenburg (2006), on the other hand,
studied the genetic susceptibility and similarities
between autism and CFS including shared
immune response pathways. He reported that
glutathione metabolism, through its impact on
redox environment, exerts a significant impact on
neuroinflammation and neural apoptosis in both
ASD and CFS, thus providing a link between both
conditions and glutathione depletion. Similar
findings have been validated by other studies
(Bjørklund et al, 2020 and Paul et al, 2021).
Theoharides and Tsilioni (2018) also studied the
neuroimmune and genetic link between ASD and
CFS and aimed to explore the inflammatory
processes involved in the pathogenesis of both
conditions. They reported that ASD and CFS both
involve focal inflammation in hypothalamus and
amygdala which could explain most symptoms
in both conditions (Theoharides and Tsilioni, 2018).
They reported that neuropeptides and cytokine
stimulation of mast cells and microglia during
early development adversely affects the brain in
ASD and that similar neuroimmune dysfunction
and neuroinflammation has also been proposed
in CFS (Theoharides and Tsilioni, 2018). Since
intranasal administration of anti-inflammatory
drugs has shown to reduce inflammation in mice
models (Sun et al, 2010 and Zhuang et al, 2011),
they proposed treatment with
tetramethoxyluteolin, a mast-cell inhibitor, which
could potentially reduce inflammation by directly
reaching the diencephalon through the cribriform
plexus. Theoharides and Tsilioni (2018) also
reported that tetramethoxyluteolin has shown to
improve attention and sociability in children with
ASD. They quoted evidence that treatment with
flavonoids/luteolin has improved symptoms of
ASD in children (Taliou et al, 2013) and has also
shown to reduce symptoms of CFS in
experimental models (Sachdeva et al, 2009 and
Kuo et al, 2009). However, because of limited
data on its use in humans, they did not draw
63
Mental Health: Global Challenges Journal
https://www.sciendo.com/journal/MHGCJ
ISSN 2612-2138
definite conclusions rather suggested it as an
area of further research in future.
Lintas et al (2011) and Satterfield et al (2010)
aimed to explore the association between
xenotropic murine leukaemia virus-related virus
(XMRV), CFS and autism. They based their study
on the evidence that XMRV had been implicated
in chronic fatigue syndrome (Lombardi et al,
2009) and queried whether XMRV could be found
in individuals with ASD, establishing a link between
the two conditions. They screened blood samples
from autistic children born to mothers with CFS
using PCR and antibody assays but none of the
samples found any evidence of XMRV infection in
blood cells from patients (Satterfield et al, 2010).
Lintas et al (2011) also screened DNA samples
from ASD patients but no XMRV or other MLV-
related virus was detected in blood and brain
samples of ASD patients. Both studies reported
that infection with XMRV or other MLV-related
viruses was not related to either autism or CFS
pathogenesis (Lintas et al, 2011 and Satterfield et
al, 2010). Three European studies that tried to
validate Lombardi et al (2009) findings also failed
to find XMRV in blood or CSF samples (Erlwein et
al, 2010, Groom et al, 2010 and van Kuppeveld
et al, 2010), refuting the link between the XMRV
and CFS and autism. The primary study (Lombardi
et al, 2009) was later retracted from the
publishing journal because of concerns around
the validity of its results and failure to disclose
important information pertaining to study
methods.
Discussion
Previous research has shown clinical overlap
between autism and various psychiatric and
medical conditions (Kentrou et al, 2024). Grant et
al (2022) published that 21% of autistic individuals
in their study reported having a CSS diagnosis,
including CFS. There are several theoretical
explanations that link autism and CFS to each
other; a core feature common to both autism
and CFS is fatigue and sensory sensitivity (Maroti
et al, 2017, Grant et al, 2022 and Keville et al,
2021). Established evidence indicates that
sensory processing difficulties are a primary
feature of autism (Grant et al, 2022), while similar
sensory sensitivity/amplification is observed in
individuals with CFS (Geisser et al, 2008).
However, research indicates that there remains a
risk of diagnostic overshadowing as clinicians are
often uninformed about co-occurring conditions
in autism (Micai et al, 2021); unexplained fatigue
is often attributed to autistic masking (Pearson
and Rose, 2021) or burnout (Higgins et al, 2021)
when actually it could be a symptom of an
underlying condition like CFS (Grant et al, 2022).
On the other hand, some autistic individuals who
were diagnosed with a co-occurring medical
condition reported that their symptoms resulted
from the challenges of living with undiagnosed
autism rather than distinct co-occurring condition
(Baron-Cohen et al, 2001). The complex
relationship between autism and co-morbid
physical health conditions including CFS warrants
a thorough assessment of people with ASD to
ascertain whether the functional
impairment/fatigue is a part of autism itself or
could be attributed to a particular co-morbid
diagnosis.
On another note, there is growing evidence
around the possible role of neuroinflammation in
the pathogenesis of both ASD and CFS and the
role of anti-inflammatory drugs in treating the two
conditions (Theoharides & Tsilioni, 2018). There are
currently no FDA approved drugs to treat either
CFS or ASD (Tsilioni et al, 2015) however, research
has shown that naturally occurring flavonoids
have potent anti-inflammatory and
neuroprotective actions and have been
discussed as a possible treatment of ASD and
CFS (Theoharides & Tsilioni, 2018). Tailou et al
(2013) conducted an open label trial and
reported significant improvements in
communication, adaptive functioning and
overall behaviours in children with ASD treated
with luteolin capsules for 26 weeks. Another open
label trial replicated similar results and reported
significant improvements in adaptive functioning
in autistic children treated with dietary formulation
containing luteolin (Tsilioni et al, 2015). However,
this is an area of growing research and further
RCTs are needed to validate the reported results.
Limitations
In terms of hierarchy of evidence, reviewed
studies indicate low level of evidence (Melnyk et
al, 2023) and are of not sufficient significance to
make any recommendations or draw definite
conclusions around association between ASD
and CFS (see Table 1). The lack of randomized-
controlled trials contributes to the uncertainty
regarding the efficacy of emerging anti-
inflammatory treatments for ASD and CFS.
Practical Value
This review shows that there is a paucity of
data on the association between autism
spectrum disorder and chronic fatigue syndrome
despite the co-occurrence of physical health
conditions like CFS being increasingly seen in
autistic children and young people in clinical
practice. The review presents a comprehensive
overview of existing research on the topic
highlighting the need for more extensive and
64
Mental Health: Global Challenges Journal
https://www.sciendo.com/journal/MHGCJ
ISSN 2612-2138
larger scale studies to further explore and
establish the association between the two
conditions.
Conclusions
The findings highlight the critical need for
enhanced training and awareness of mental
health practitioners regarding the presentation of
autism and the complex relationship between
ASD and co-occurring physical health conditions
like CFS. Physicians should be aware that these
conditions are common in autistic individuals and
recognizing and treating overlapping clinical
symptoms can significantly improve their quality
of life and wellbeing. Additional epidemiological
studies based on larger and more representative
samples of autistic individuals are needed to
replicate current findings and provide more
accurate estimates of association between
autism and CFS.
Funding statement
The author has no funding to declare. No
specific grant from any funding agency in the
public, commercial or not-for-profit sector was
received for this research. The publication fee
was personally covered by the author.
Conflict of interest
The author declares no conflict of interests
References
American Psychiatric Association. (2013).
Diagnostic and statistical manual of
mental disorders (5th ed.).
https://doi.org/10.1176/appi.books.978089
0425596
Bakken, I. J., Tveito, K., Gunnes, N., Ghaderi, S.,
Stoltenberg, C., Trogstad, L., Håberg, S. E.,
& Magnus, P. (2014). Two age peaks in the
incidence of chronic fatigue
syndrome/myalgic encephalomyelitis: A
population-based registry study from
Norway 20082012. BMC Medicine,
12(167). https://doi.org/10.1186/s12916-
014-0167-5
Baron-Cohen, S., Wheelwright, S., Skinner, R.,
Martin, J., & Clubley, E. (2001). The autism-
spectrum quotient (AQ): Evidence from
Asperger syndrome/high-functioning
autism, males and females, scientists and
mathematicians. Journal of Autism and
Developmental Disorders, 31(1), 517.
https://doi.org/10.1023/a:1005653411471
Bileviciute-Ljungar, I., Maroti, D., & Bejerot, S.
(2018). Patients with chronic fatigue
syndrome do not score higher on the
autism-spectrum quotient than healthy
controls: Comparison with autism spectrum
disorder. Scandinavian Journal of
Psychology, 59(4), 428432.
https://doi.org/10.1111/sjop.12451
Bjørklund, G., Tinkov, A. A., Hosnedlová, B., Kizek,
R., Ajsuvakova, O. P., Chirumbolo, S.,
Skalnaya, M. G., Peana, M., Dadar, M., El-
Ansary, A., Qasem, H., Adams, J. B.,
Aaseth, J., & Skalny, A. V. (2020). The role of
glutathione redox imbalance in autism
spectrum disorder: A review. Free Radical
Biology & Medicine, 160, 149162.
https://doi.org/10.1016/j.freeradbiomed.20
20.07.017
Carruthers, B. M., van de Sande, M. I., De Meirleir,
K.L., Klimas, N. G., Broderick, G., Mitchell,
T., Staines, D., Powles, A. C., Speight, N.,
Vallings, R., Bateman, L., Baumgarten-
Austrheim, B., Bell, D. S., Carlo-Stella, N.,
Chia, J., Darragh, A., Jo, D., Lewis, D., Light,
A. R., Marshall-Gradisnik, S., & Stevens, S.
(2011). Myalgic encephalomyelitis:
International consensus criteria. Journal of
Internal Medicine, 270(4), 327338.
https://doi.org/10.1111/j.1365-
2796.2011.02428.x
Chu, L., Valencia, I. J., Garvert, D. W., & Montoya,
J. G. (2019). Onset patterns and course of
myalgic encephalomyelitis/chronic fatigue
syndrome. Frontiers in Pediatrics, 7(12).
https://doi.org/10.3389/fped.2019.00012
Devnani, P. A., & Hegde, A. U. (2015). Autism and
sleep disorders. Journal of Pediatric
Neurosciences, 10(4), 304307.
https://doi.org/10.4103/1817-1745.174438
Erlwein, O., Kaye, S., McClure, M. O., Weber, J.,
Wills, G., Collier, D., Wessely, S., & Cleare,
A. (2010). Failure to detect the novel
retrovirus XMRV in chronic fatigue
syndrome. PLOS ONE, 5(1).
https://doi.org/10.1371/journal.pone.00085
19
Forde, J., Bonilla, P. M., Mannion, A., Coyne, R.,
Haverty, R., & Leader, G. (2022). Health
65
Mental Health: Global Challenges Journal
https://www.sciendo.com/journal/MHGCJ
ISSN 2612-2138
status of adults with autism spectrum
disorder. Review Journal of Autism &
Developmental Disorders, 9, 427437.
https://doi.org/10.1007/s40489-021-00267-
6
Geisser, M. E., Strader Donnell, C., Petzke, F.,
Gracely, R. H., Clauw, D. J., & Williams, D.
A. (2008). Comorbid somatic symptoms
and functional status in patients with
fibromyalgia and chronic fatigue
syndrome: Sensory amplification as a
common mechanism. Psychosomatics,
49(3), 235242.
https://doi.org/10.1176/appi.psy.49.3.235
Grant, S., Norton, S., Weiland, R. F., Scheeren, A.
M., Begeer, S., & Hoekstra, R. A. (2022).
Autism and chronic ill health: An
observational study of symptoms and
diagnoses of central sensitivity syndromes
in autistic adults. Molecular Autism, 13(1),
7. https://doi.org/10.1186/s13229-022-
00486-6
Groom, H. C., Boucherit, V. C., Makinson, K.,
Randal, E., Baptista, S., Hagan, S., Gow, J.
W., Mattes, F. M., Breuer, J., Kerr, J. R.,
Stoye, J. P., & Bishop, K. N. (2010). Absence
of xenotropic murine leukaemia virus-
related virus in UK patients with chronic
fatigue syndrome. Retrovirology, 7, 10.
https://doi.org/10.1186/1742-4690-7-10
Higgins, J. M., Arnold, S. R., Weise, J., Pellicano,
E., & Trollor, J. N. (2021). Defining autistic
burnout through experts by lived
experience: Grounded Delphi method
investigating #AutisticBurnout. Autism: The
International Journal of Research and
Practice, 25(8), 23562369.
https://doi.org/10.1177/1362361321101985
8
Kentrou, V., Livingston, L. A., Grove, R., Hoekstra,
R. A., & Begeer, S. (2024). Perceived
misdiagnosis of psychiatric conditions in
autistic adults. EClinicalMedicine, 71.
https://doi.org/10.1016/j.eclinm.2024.1025
86
Keville, S., Meek, C., & Ludlow, A. K. (2021).
Mothers’ perspectives of co-occurring
fatigue in children with autism spectrum
disorders. Fatigue: Biomedicine, Health &
Behavior, 9(4), 209226.
https://doi.org/10.1080/21641846.2021.200
8169
Kuo, Y. H., Tsai, W. J., Loke, S. H., Wu, T. S., &
Chiou, W. F. (2009). Astragalus
membranaceus flavonoids (AMF)
ameliorate chronic fatigue syndrome
induced by food intake restriction plus
forced swimming. Journal Of
Ethnopharmacology, 122(1), 2834.
https://doi.org/10.1016/j.jep.2008.11.025
Lintas, C., Guidi, F., Manzi, B., Mancini, A.,
Curatolo, P., & Persico, A. M. (2011). Lack
of infection with XMRV or other MLV-related
viruses in blood, post-mortem brains and
paternal gametes of autistic individuals.
PLOS ONE, 6(2).
https://doi.org/10.1371/journal.pone.00166
09
Lombardi, V. C., Ruscetti, F. W., Das Gupta, J.,
Pfost, M. A., Hagen, K. S., Peterson, D. L.,
Ruscetti, S. K., Bagni, R. K., Petrow-
Sadowski, C., Gold, B., Dean, M.,
Silverman, R. H., & Mikovits, J. A. (2009).
Detection of an infectious retrovirus, XMRV,
in blood cells of patients with chronic
fatigue syndrome. Science (New York,
N.Y.), 326(5952), 585589.
https://doi.org/10.1126/science.1179052
(Retraction published Science, 2011 Dec
23;334(6063):1636. doi:
10.1126/science.334.6063.1636-a)
van Kuppeveld, F. J., de Jong, A. S., Lanke, K. H.,
Verhaegh, G. W., Melchers, W. J., Swanink,
C. M., Bleijenberg, G., Netea, M. G.,
Galama, J. M., & van der Meer, J. W.
(2010). Prevalence of xenotropic murine
leukaemia virus-related virus in patients with
chronic fatigue syndrome in the
Netherlands: Retrospective analysis of
samples from an established cohort. BMJ
(Clinical Research Ed.), 340, c1018.
https://doi.org/10.1136/bmj.c1018
Zhuang, X., Xiang, X., Grizzle, W., Sun, D., Zhang,
S., Axtell, R. C., Ju, S., Mu, J., Zhang, L.,
Steinman, L., Miller, D., & Zhang, H. G.
(2011). Treatment of brain inflammatory
diseases by delivering exosome-
encapsulated anti-inflammatory drugs
from the nasal region to the brain.
Molecular Therapy: The Journal of the
American Society of Gene Therapy, 19(10),
17691779.
https://doi.org/10.1038/mt.2011.164
66