Combined DNA, toxicological and heavy metal analyses provides an auditing toolkit to improve pharmacovigilance of traditional Chinese medicine (TCM).

Globally, there has been an increase in the use of herbal remedies including traditional Chinese medicine (TCM). There is a perception that products are natural, safe and effectively regulated, however, regulatory agencies are hampered by a lack of a toolkit to audit ingredient lists, adulterants and constituent active compounds. Here, for the first time, a multidisciplinary approach to assessing the molecular content of 26 TCMs is described. Next generation DNA sequencing is combined with toxicological and heavy metal screening by separation techniques and mass spectrometry (MS) to provide a comprehensive audit. Genetic analysis revealed that 50% of samples contained DNA of undeclared plant or animal taxa, including an endangered species of Panthera (snow leopard). In 50% of the TCMs, an undeclared pharmaceutical agent was detected including warfarin, dexamethasone, diclofenac, cyproheptadine and paracetamol. Mass spectrometry revealed heavy metals including arsenic, lead and cadmium, one with a level of arsenic >10 times the acceptable limit. The study showed 92% of the TCMs examined were found to have some form of contamination and/or substitution. This study demonstrates that a combination of molecular methodologies can provide an effective means by which to audit complementary and alternative medicines.

Polymorphisms at positions -22 and -348 in the promoter of the BAT1 gene affect transcription and the binding of nuclear factors.

BAT1 (D6S81E, UAP56) lies in the central MHC between TNF and HLA-B, a region containing genes that affect susceptibility to immunopathologic disorders. BAT1 protein may be directly responsible for the genetic association, as antisense studies show it can down-regulate inflammatory cytokines. Here we investigate polymorphisms at positions -22 and -348 relative to the BAT1 transcription start site. DNA samples from healthy donors were used to confirm haplotypic associations with the type 1 diabetes-susceptible 8.1 ancestral haplotype (AH; HLA-A1,B8,BAT1-22*C,BAT1-348*C,DR3 ) and the diabetes-resistant 7.1 AH (HLA-A3,B7,BAT1-22*G,BAT1-348*T,DR15). Alleles carried at BAT1-22 and -348 were in linkage disequilibrium. Electrophoretic mobility shift assays using nuclear proteins from T-cells (Jurkat and HT2), monocytes (THP1, U937) and epithelial cells (HeLa and MDA468) demonstrated DNA : protein complexes binding oligonucleotides spanning positions -22 and -348 on the 7.1 AH only. Competition assays, supershifts and molecular weight determinations suggest the complexes include the transcription factors YY1 (at -348) and Oct1 (at -22). Promoter activity was demonstrated using 520 bp and 336 bp fragments cloned from immediately upstream of the transcription start site and carrying all combinations of -22 and -348 alleles, suggesting an unidentified non-polymorphic sequence within 336 bp of the start site drives transcription. The 520 bp fragment of the BAT1 promoter cloned from the 8.1 AH was slightly less efficient than the equivalent from the 7.1 AH, whilst the reverse was observed with 336 bp fragments. This suggests BAT1 transcription on the 7.1 AH is modified by interactions involving DNA flanking positions -22 and -348.