Heart Disease, Diabetes, Gut Immune Suppression and Epidemiology Studies

The consumption of cow's milk containing the &#103 -casein variant A1 has been linked with type 1 diabetes (insulin-dependent diabetes mellitus; IDDM) in both NOD mice and BB rats. Supporting this, epidemiological studies that include both inter- and intra-country data yield a strong associ...

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Veröffentlicht in:Journal of nutritional & environmental medicine 2002-01, Vol.12 (3), p.197-206
Hauptverfasser: McLachlan, C. N. S., Clarke, A. J.
Format: Artikel
Sprache:eng
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Zusammenfassung:The consumption of cow's milk containing the &#103 -casein variant A1 has been linked with type 1 diabetes (insulin-dependent diabetes mellitus; IDDM) in both NOD mice and BB rats. Supporting this, epidemiological studies that include both inter- and intra-country data yield a strong association of this protein's presence in milk with the incidence of IDDM. A stronger association can be observed when correlating &#103 -casein A1 consumption with ischaemic heart disease (IHD) mortality, with a significant regression correlation coefficient (r2=0.86) . This suggests that the rate of &#103 -casein A1 consumption, excluding that contained in cheese, is a more accurate predictor of heart disease between and within countries than that reported for traditional risk factors. It is often assumed that the response rates of illness to dietary inputs are dose specific. Should this not be the case, as animal studies of both IHD and IDDM indicate, then positive, null or negative outcomes will be achieved depending on the approach of the sample to a genetically at-risk group, or to the general population. In diseases such as those noted above where immune dysfunction or gut immune suppression appear to play a major role, failure to compare immune response may skew the data analysis and hide causality. Thus, the failure to detect strong associations between consumption of specific dietary components and diseases in studies of individuals, as is the case with both IHD and IDDM in the population at large, may reflect a non-linear relationship between dietary components and disease.
ISSN:1359-0847
1364-6907
DOI:10.1080/1359084021000006858