Uncovering potential 'herbal probiotics' in Juzen-taiho-to through the study of associated bacterial populations.

Juzen-taiho-to (JTT) is an immune-boosting formulation of ten medicinal herbs. It is used clinically in East Asia to boost the human immune functions. The active factors in JTT have not been clarified. But, existing evidence suggests that lipopolysaccharide (LPS)-like factors contribute to the activity. To examine this possibility, JTT was subjected to a series of analyses, including high resolution mass spectrometry, which suggested the presence of structural variants of LPS. This finding opened a possibility that JTT contains immune-boosting bacteria. As the first step to characterize the bacteria in JTT, 16S ribosomal RNA sequencing was carried out for Angelica sinensis (dried root), one of the most potent immunostimulatory herbs in JTT. The sequencing revealed a total of 519 bacteria genera in A. sinensis. The most abundant genus was Rahnella, which is widely distributed in water and plants. The abundance of Rahnella appeared to correlate with the immunostimulatory activity of A. sinensis. In conclusion, the current study provided new pieces of evidence supporting the emerging theory of bacterial contribution in immune-boosting herbs.

Two-dimensional combinatorial screening identifies specific 6'-acylated kanamycin A- and 6'-acylated neamine-RNA hairpin interactions.

Herein, we report the RNA hairpin loops from a six-nucleotide hairpin library that bind 6'-acylated kanamycin A (1) and 6'-acylated neamine (2) identified by two-dimensional combinatorial screening (2DCS). Hairpins selected to bind 1 have K(d)'s ranging from 235 to 1035 nM, with an average K(d) of 618 nM. For 2, the selected hairpins bind with K(d)'s ranging from 135 to 2300 nM, with an average K(d) of 1010 nM. The selected RNA hairpin-ligand interactions are also specific for the ligand that they were selected to bind compared with the other arrayed ligand. For example, the mixture of hairpins selected for 1 on average bind 33-fold more tightly to 1 than to 2, while the mixtures of hairpins selected for 2 on average bind 11-fold more tightly to 2 than to 1. Secondary structure prediction of the selected sequences was completed to determine the motifs that each ligand binds, and the hairpin loop preferences for 1 and 2 were computed. For 1, the preferred hairpin loops contain an adenine separated by at least two nucleotides from a cytosine, for example, ANNCNN (two-tailed p-value = 0.0010) and ANNNCN (two-tailed p-value <0.0001). For 2, the preferred hairpin loops contain both 5'GC and 5'CG steps (two-tailed p-value <0.0001). These results expand the information available on the RNA hairpin loops that bind small molecules and could prove useful for targeting RNA.