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Antibiotics Formaldehyde Similar reports in different - PDF document

Indoor air pollution hits EPA too close to home tified. The EPA wont By Aaron Epstein publicly say so, but we Knight-Ridder News Service definitely have Sick Building Syndrome right here. Sick Building Syndrome, or Washington


  1. Indoor air pollution hits EPA too close to home tified. “The EPA won’t By Aaron Epstein publicly say so, but we Knight-Ridder News Service definitely have Sick Building Syndrome right here.” Sick Building Syndrome, or Washington – The pollution SBS, is an unscientific term experts at the Environmental used to describe a pattern of Protection Agency should health symptoms linked to know a sick building when poor indoor air quality in they see it. They work in one. workplaces, schools, homes Yet, despite all their and other buildings – but expertise and expenditures, difficult to trace to any they have not yet found a particular source. It is cure. believed to be the cause Evidence for Toxicant-induced Loss of Tolerance Solvents Glues Indoor Air Volatile Organic Paints Drugs/Medical Devices Compounds (VOCs) Gasoline Vaccines Nail polish/remover New carpet Anesthetics Plasticizers Implants • Antibiotics Formaldehyde Similar reports in different regions/countries Fragrances Chemotherapy Mold VOCs • TOXICANT-INDUCED Complaints of new intolerances for foods, alcoholic LOSS OF drinks, caffeine, and medications, not only TOLERANCE chemicals ? Combustion-related Products Cleaning Agents • Engine exhaust Phenolic disinfectants Resemblance to addiction Tobacco smoke Ammonia Pesticides Oil well fire smoke Bleach Natural gas Organophosphates Carbamates, pyridostigmine Tar/asphalt • Pentachlorophenol Plausible anatomic locus Pyrethrins • Recent animal models U.S. Pesticide Production, Historical Development of Ventilation All types, 1927-1988 Standards in the U.S. Occurring over the Past Several Decades, In Indoor Air and Human Health. Mage and Gammage 1985, Evaluation of Changes in Outdoor Air Quality Gammage and Kaye Eds., Chelsea, MI, Lewis Publishers, p. 13) Source: EPA Market Estimates, 1986, 1988; Pimentel & Andow, 1984; Metcalf, 1980.

  2. Nail polish remover Perfumes New carpeting Cigarette smoke Detergent aisle in grocery store Diesel exhaust Insecticides Asphalt or tar Fresh newspaper/newsprint Restroom deodorizers Felt-tip dry marking pen Particle board Poorly ventilated meeting room Traffic exhaust New automobile interior Cigar smoke Fabric stores Hairspray Hotel rooms Fresh paint Neuropsychological Attention Deficit Hyperactivity Disorder (ADHD) depression bipolar disorder Ear, Nose and Throat Cardiovascular panic disorder sinusitis migraines and other headaches arrhythmias polyps seizures hypertension tinnitus autism hypotension recurrent otitis Raynaud's phenomenon Miscellaneous Syndromes Chronic Fatigue Syndrome Respiratory implant syndromes TOXICANT-INDUCED asthma ''Gulf War Syndrome“ LOSS OF Reactive Airways Dysfunction Post/other disaster TOLERANCE Syndrome (RADS) syndromes toluene dlisocyanate ? (TDI) hypersensitivity Skin eczema Gastrointestinal hives other rashes, irritable bowel Connective Tissue/Musculoskeletal reflux eruptions fibromyalgia carpal tunnel syndrome temporomandibular joint dysfunction (TMJ) syndrome arthritis lupus and other auto-immune diseases

  3. Relationship between TILT, Addiction and Abdiction TILT (Loss of Tolerance) Avoid Withdrawal (2 strategies) Avoid substance Take substance altogether regularly Abdiction Addiction Chemical Intolerance: Postulates

  4. Frequency of New-onset Intolerances Reported by New-Onset Intolerances the First 59 Consecutive Gulf War Veterans Reported by 59 Consecutive Gulf Veterans Seen at the Houston VA Regional Referral Center Chemical Inhalants 78% Intolerances n=52 No Intolerances n=7 Chemical Inhalants 40% of those who took Medications drugs 1 Alcoholic beverages 66% of alcohol users 3 6 Caffeine 25% of caffeine users 36 Foods 78% 2 2 2 Specific foods 64% Foods Drugs Illness after meals 49% (medications, alcohol, nicotine,caffeine) Tobacco use 74% of tobacco users Frequency of “Severe” Symptoms Among Three Exposure Groups versus Controls (%) Chemical Intolerance – Genotypes Gulf War Pesticide- Remodeling- • Canadian case control study to determine whether Controls Veterans Exposed Exposed chemically intolerant individuals differ from controls for Symptom n=59 n=37 n=75 N=112 genetic polymorphisms in drug-metabolizing enzymes • Fatigue 78 68 52 3 Caucasian female cases (203) and controls (162) • CYP2D6, NAT1, NAT2, PON1, PON2, MTHFR were Depression 29 49 33 6 genotyped • Significant difference found in cases vs. controls for 53 38 31 5 Headaches CYP2D6 (p=0.02) • OR CYP2D6 homozygous active=3.36 (p=0.01) Shortness of 38 43 31 2 • breath OR NAT2 rapid metabolizer=4.14 (p=0.01) Asthma or 12 27 15 0 wheezing Source: McKeown-Essen et al, Int J Epidemiol 2004; 33:1-8 Chemical Intolerance – Genotypes Chemical Intolerance – Genotypes • Cases were more likely to be heterozygous for PON1-55 (OR=2.05, p=0.04) and PON1-192 (OR=1.57, p=0.04) • CPY2D6 metabolizes centrally acting drugs and toxins • PON genes have been linked to Gulf War veterans’ such as tricyclic antidepressants, selective serotonin re- illnesses (Haley et al., 1999) uptake inhibitors, monoamine oxidase inhibitors, • Post hoc analysis showed significant effect of being a amphetamines, codeine, neuroleptics, neurotoxins, and rapid metabolizer for both NAT2 and CYP2D6: endogenous neurotransmitters • OR for rapid/rapid vs. slow/slow combination of CYP2D6 Latter finding may be relevant to observations that poor and NAT2 was 18.7 metabolizers score higher on anxiety scales and lower • Conclusion: chemically intolerant individuals differ from on socialization scales • controls for genetic polymorphisms in enzymes that NAT2 expresses arylamine transferase which metabolize drugs/toxins/endogenous neurotransmitters determines susceptibility to aromatic amines Source: McKeown-Essen et al, Int J Epidemiol 2004; 33:1-8 Source: McKeown-Essen et al, Int J Epidemiol 2004; 33:1-8

  5. QEESI Symptom Star Pre- and Post-Exposure High validity, reliability Sensitivity 92%, specificity 95% Symptom scale derived by factor analysis “Symptom star” (Miller and Prihoda, Tox Industr Health 15:370-385, 1999) Before exposure event Since exposure event Germ Theory of Disease Theories of Disease Host 1 Germs “Germ” Clinical Response Reproduce Host Agent Clinical Response Later, Host 2 Germ Clinical Response Germs Reproduce Theories of disease are our attempt to explain what is going on inside a “host” by postulating a general mechanism 1. Many different kinds of germs cause response 2. Many different responses involving any and every organ system A “theory of disease” is a yet-to-be proven general mechanism 3. Specific mechanisms may vary greatly (cholera vs. AIDS vs. for a class of disease shingles) 4. No single biomarker. Identification of specific germs took years 5. Prevention—avoidance, antiseptics, sanitation, use of gloves— preceded our knowledge of specific mechanisms Immune Theory of Disease Host 1 “Antigen” Antibodies Later, Antigen Host 1 Clinical Response 1. Many different kinds of antigens cause response 2. Many different responses involving any and every organ system 3. Specific mechanisms vary greatly (poison ivy vs. allergic rhinitis vs. serum sickness) 4. No single biomarker, identification of specific antibodies took years 5. Prevention—avoidance, allergy shots—preceded our knowledge of specific mechanisms

  6. TILT Theory of Disease The 7 A’s Host 1 Loss of Chemical Tolerance • Asthma • Later, Autoimmune diseases Host 1 Other Chemicals Clinical Response • Affective disorder • Attention deficit/hyperactivity disorders 1. Many different kinds of chemicals cause response • Autism spectrum disorders 2. Many different responses involving any and every organ system • 3. Specific mechanisms may vary greatly Allergies 4. Currently no biomarker • Addiction (masking) 5. Prevention—avoidance—may precede our knowledge of specific mechanisms What is plausible depends upon the biological knowledge of the time.

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