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Dr Frederick Miller
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Conference Report printed in Newsletter 55, December 2003 based on the talk given by Dr Fred Miller at the Myositis Support Group Conference 2003.
News and Views on Myositis
Dr Frederick Miller is Chief of the Environmental
Autoimmunity Group at the National Institutes of Health in America.
He is also on the medical advisory panel of the Myositis Association
(America).
Myositis is the collective name given to a group of systemic muscle
diseases that are thankfully rare. The annual incidence is estimated
to be between 5 and 10 new cases per million people and its frequency
of incidence may be on the increase. In general, the prevalence
of polymyositis and dermatomyositis peaks in childhood (between
the ages of 5-15 years) and adult midlife (between 30-50 years of
age), whereas, IBM peaks after 50 years of age. Females are preferentially
affected (~3:1) in all forms except in IBM (female:male ~1:3).The
prevalence, frequency of clinical forms, and risk factors (genetic
and environmental) for developing myositis are likely to differ
in different parts of the world. African-Americans may have an increased
risk of developing a myositis and poorer outcomes compared to Caucasians.
Genetic risk factor associations have been identified for certain
types of myositis however anecdotal clusterings of myositis suggest
strong environmental influences as well.
Myositis refers to a group of systemic diseases that can be defined
by clinical presentation, pathology, genetics, and serology. Myositis
is typically categorised by clinical-pathologic characteristics.
This gives rise to four main groups [1] dermatomyositis, [2] polymyositis,
[3] inclusion body myositis and [4] other forms. Group [4] other
forms of myositis includes myositis associated with another connective
tissue disease, cancer-associated myositis, focal/nodular myositis,
ocular/orbital myositis, eosinophilic myositis, and granulomatous
myositis.
It is necessary to group specific types of myositis as this facilitates
prediction of problems that may arise and influence treatment regimens
adopted. Classification of myositis by serological characteristics
is one such way to group the diseases that may provide predictive
factors. Serological classification refers to the detection of antibodies
that can be found in the blood and provides an insight into how
a sufferer’s immune system is responding. It is thought that
the majority of polymyositis and dermatomyositis sufferers will
have some autoantibodies (estimated ~90%) and inclusion body myositis
sufferers (estimated ~70%). Serological groups of interest in myositis
involve Myositis-Specific Autoantibodies (MSAs) and Myositis-Associated
Autoantibodies (MAAs). MSAs are autoantibodies that are only detected
in myositis and not in any other inflammatory disease, which include;
anti-aminoacyl-tRNA synthetases (anti-synthetase), anti-signal recognition
particle (anti-SRP) and anti-SNF2-superfamily nuclear helicase (anti-Mi-2).
Myositis-Associated Autoantibodies (MAAs) are autoantibodies that
may be detected in myositis but may also be present in other diseases.
MAAs include anti-U-RNP (U1, U2, U5), anti-Ro52, anti-PM/Scl, anti-Ku,
anti-155kD, anti-MJ, anti-PMS-1, PMS-2. It must be reiterated that
myositis can be present without MSAs and MAAs present. This may
be because MSAs and MAAs are present but have yet to be identified.
Interestingly, serological groups differ in clinical features and
disease course. Thus defining a sufferer’s serological group
at the time of diagnosis may provide the required ‘clues’
to predict disease course, problems likely to arise, and suitable
treatments that the patient may respond to. Sufferers with anti-synthetase
autoantibodies have a greater likelihood to also suffer with interstitial
lung disease, arthritis, mechanic’s hands, and fever. Myositis
sufferers who have anti-signal recognition particle autoantibodies
generally have an acute severe muscle weakness often associated
with cardiac involvement and myalgias. Whereas, myositis sufferers
with anti-Mi-2 antibodies have a greater skin involvement typically
a V-sign rash, shawl-sign rash (across the shoulders) and cuticular
overgrowth.
Unlike inherited myopathies and muscular dystrophies, myositis is
not a pure genetic disease. There is however likely to be genetic
heterogeneity amongst myositis groups. Genetic studies can be used
not to diagnose myositis but to look at candidate genes to help
our understanding of how the disease may have come about. The table
below highlights genetic mutations of two genes, HLA-DRB1 and HLA-DQ1
which have been identified as potential risk factors in certain
types or serological groups of myositis.
| Group |
HLA-DRB1 |
HLA-DQ1 |
Comments |
| White (DM, PM, IBM) |
*301 |
*501 |
HVR1motif |
| JDM |
*301 |
*501 |
Il1A1/A2 |
| AntiJo-1 |
*301 |
*0501 |
In whites |
| Anti-SRP |
*05 |
*0301 |
In blacks |
| Anti-Mi-2 |
*07(B9-trp) |
*0201 |
In Hispanics |
| D-Penacillamine |
*04 |
? |
In whites |
| Silicone Implant |
? |
*0102 |
In whites |
Genetic risk factors alone can not explain
why some people develop myositis and others do not. Additional factors
are likely to play an important role. It is this convergence of
a genetic risk (rather than a genetic certainty) and environment
trigger(s) at a specific moment in time that leads to an individual
developing myositis. The ethnogeography of disease conceptualises
that many diseases vary in prevalence and clinical expression in
different ethnic groups around the world. The reasons for these
differences remain unknown but natural global variations in genetics
and environmental factors may play roles. Developing an understanding
of the causes of these differences may give insight into disease
pathogenesis.
The International Myositis Collaborative Study Group was established
in 1991 to utilise the natural genetic and environmental variations
around the world to begin to define and understand differences in
the clinical expression, risk factors and pathogeneses of the myositis
syndromes. Currently, involving 39 investigators at 15 centres on
four continents and over 1100 patients enrolled on various studies
focusing on cluster analyses of phenotypes, genetics, immune responses
and exposures. Genetic risk and protective factors for myositis
are likely to differ in ethnogeographic populations. There are many
possible environment triggers that can be investigated as potential
risk factors for myositis syndromes. Possible environmental risk
factors that have been suggested include; infectious agents (bacteria,
parasites, viruses), non-infectious agents, drugs (e.g. D-penicillamine,
statins), biologics (e.g. vaccines, cytokines), foods (e.g. L-tryptophan,
adulterated rapeseed oil), medical devices (e.g. collagen and silicone
implants), occupational exposures (e.g. silica, superglues), other
exposures (e.g. stress, mercury, petrochemicals), and ultraviolet
radiation (UVR).
The objectives of the first worldwide myositis study were to determine
if differences in clinical and antibody expression of myositis occur
at different global locations and to determine if geoclimatic factors
may influence the nature and frequency of dermatomyositis, polymyositis,
and associated autoantibodies around the world. The relationship
of 13 geoclimatic variables that may modulate disease were assessed
with the proportion of dermatomyositis and anti-Mi-2 autoantibodies
in 919 patients in centres across the world.
An initial observation made was that the proportion of dermatomyositis
patients in the total inflammatory myositis populations varied at
the global centres, i.e. the frequency of dermatomyositis versus
polymyositis sufferers varies throughout the world. Of the geoclimatic
variables investigated very few associations were drawn with the
exception of ultraviolet light. Global ultra violet light levels
strongly correlated with the proportion of dermatomyositis (and
also anti-Mi-2 autoantibodies) around the world. Where ultraviolet
light exposure was less there were fewer cases of dermatomyositis
and where ultraviolet light exposure was greater there were more
cases of dermatomyositis.
The primary findings of this worldwide study demonstrates that global
surface ultraviolet radiation intensity at many points on the earth
appears to be able to predict the proportion of dermatomyositis
and dermatomyositis-autoantibodies. This study highlights that environmental
data is just as important as genetic data. The proportion of dermatomyositis
and dermatomyositis-autoantibodies observed around the world are
not the sole result of inherent global variations of known genetic
risk factors (HLA DRB1*0701 and the linked DQA1*0201 in Caucasians,
and DRB1*0401 and the linked DQA1*0301 in Mesoamericans for anti-Mi-2)
but also an environmental trigger too. These findings suggest that
ultraviolet radiation may induce dermatomyositis or shift some polymyositis
to dermatomyositis. A simple message for dermatomyositis sufferers
from this observation is that they should avoid ultraviolet radiation
as this may induce a flare of disease.
Many diseases, including myositis, are likely to develop as a result
of the combination of genes and environmental exposures. By understanding
how environment factors and genes interact we may be able to prevent
disease. If we knew what made us susceptible we may be able to avoid
the environmental risk factors.
Other recent developments in our understanding of myositis include;
confirmation of an increased risk of certain cancers in dermatomyositis
(~3 fold increased risk) and polymyositis (~1.5 fold increased risk)
which typically occur within two years of diagnosis and thereafter
the likelihood decreases; despite different pathology, there are
remarkable similar cytokine (IL-1a/ß, TNFa, TGFß, MIP-1a/ß
and MCP-1) profiles observed in the muscle biopsies of dermatomyositis,
polymyositis and inclusion body myositis sufferers; increased maternal-fetal
microchimerism in the peripheral blood and in target organs in juvenile
myositis.
Interest and growing expertise in myositis amongst professionals
from many fields of science and medicine should improve its management.
Management goals include assuring an accurate diagnosis, identification
of all manifestations of myositis, identification and attempts to
minimise risk factors that may lead to poor prognosis, define the
extent of disease activity and disease damage (table below), develop
with the patient’s input, a holistic individualised treatment
plan taking into account expectations, manifestations, prognosis
and risk factors for adverse events to therapies.
| Measure |
IIM Activity |
IIM
Damage |
| Examination |
Rash, arthritis, fever, tenderness |
Pigment loss, contractures, atrophy |
| Laboratory |
↑CK LD ALT AST aldolase |
↑creatinine enzymes normal |
| Biopsy |
Inflammation ?MHC |
Scar, fibrosis |
| MRI |
↑STIR or T2 signal |
↑T1 fat or atrophy |
| EMG |
↑fibrillations |
Normal |
| Immunology |
↑Ig, amino acids, cytokines |
Normal |
| MDAAT |
High score |
Low score |
| MDI |
Low score |
High score |
To help define the disease pattern of a
sufferer it is important to attempt to define characteristics present
that may lead to poor prognosis. Identification of poor prognosis
factors helps the clinician and the patient define suitable treatment(s)
and management. Poor prognostic factors in myositis based on demographic
features include; age: older versus younger, gender (?): female
versus male, race(?): black versus white. Poor prognostic factors
based on sign-symptom-disease complex include; fever, dysphagia,
cardiac, pulmonary, or gastrointestinal involvement, delay to diagnosis
and treatment, and failure to induce remission. Poor prognosis features
based on clinical groups include; polymyositis, cancer-associated,
or inclusion body myositis (versus dermatomyositis) and based on
serologic groups; anti-synthetase or anti-SRP autoantibodies (versus
anti-Mi-2 or anti-MAS).
The treatment of myositis should encompass the whole disease and
not just treating active disease. Rehabilitation and physical therapy
are critical to maintain range of movement and to improve strength
and endurance during disease remission. Drug treatment typically
involves steroids as a central therapy, but methotrexate and azathioprine
are frequently prescribed in corticosteroid-resistant patients and
combination therapy is increasingly used. Photoprotection, topical
steroids and hydroxychloroquine are important adjunct therapies
in severe dermatomyositis. Some inclusion body myositis patients
may benefit from corticosteroid and cytotoxic therapy through slowing
the rate of disease progression. Cyclophosphamide, Chlorambucil,
Cyclosporin A, FK 506, Mycophenolate (CellCept), Etanercept (Enbrel),
Infliximab (Remicade) or Rituximab (Rituxan) may help some patients
refractory to other agents.
There are potential new therapies for myositis for which there have
been case reports demonstrating an improvement. These include; Mycophenolate
(CellCept), anti-TNF agents (etanercept [Enbrel] infliximab [Remicade]),
autologous stem cell transplantation, anti-B cell therapies (rituximab
[Rituxan]).
The International Myositis Assessment and Clinical Studies Group
(IMACS) formed three years ago is a collaboration that focuses on
improving the management of myositis by developing a consensus on
the conduct and reporting of myositis clinical studies. This multi-speciality
group of over 100 experts in adult and juvenile myositis have set
out to define core set outcome measures, develop new assessment
tools and achieve consensus on many clinical trial design issues.
Interest and expertise in myositis is growing and the formation
of multi-speciality groups hopes to address in the future many myositis
questions, which include; what are all the prognostic predictors
for poor outcomes? Which therapies work best in which patients?
What mechanisms induce and sustain myositis? What new better therapies
can block these mechanisms? How many "elemental disorders"
- defined by the necessary and sufficient genetic and environmental
risk factors that lead to myositis - comprise these syndromes? Can
we prevent some forms of myositis?
Future approaches into researching and treating myositis should
be multifaceted. To achieve this we should encourage, international
collaborations among basic researchers to optimise the use of existing
clinical databases, repositories and resources, international collaborations
among clinical researchers to standardise the conduct and reporting
of clinical trials, make better utilisation of registries, patient
support groups and information technology, initiate and promote
large simple trials with long term follow-up, provide more support
of research into risks, pathogeneses, and treatment.
In summary, myositis syndromes are a clinically, pathologically,
genetically and serologically heterogeneous group of systemic diseases.
Primary genetic risk factors for myositis are HLA and immunoglobulin
genes, some ethnic groups, serologic and environmental exposure
groups differ in the specific alleles of these risk factors. Environmental
triggers are poorly understood, but temporal associations have been
noted with infectious agents and selected drugs, biologics, foods,
devices, UVR and other exposures. Therapy needs to be individualised
to the medical history, disease course and prognostic risks of each
patient. Recent advances in immunology and molecular biology, as
well as new international collaborations, promise more rapid progress
in basic and clinical research in the future.
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