# US 11,896,639 B2 · Mechanism based quality control for botanical medicine

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- Number: US 11,896,639 B2
- Document ID: US11896639B2
- Status: Granted
- Kind: B2
- Application number: 18/058,042
- Filed: 2022-11-22
- Published: 2023-10-12
- Granted: 2024-02-13
- Earliest claimed: 2016-06-22
- Assignees: Yale University
- Applicants: Yale University
- Inventors: Yung-Chi Cheng
- Web page: https://patentgrep.com/patent/US11896639B2

## CPC

- A61K 36/539: Scutellaria (skullcap)
- A61K 36/484: Glycyrrhiza (licorice)
- A61K 36/65: Paeoniaceae (Peony family), e.g. Chinese peony
- A61K 36/725: Ziziphus, e.g. jujube
- A61P 35/00: Antineoplastic agents
- A61K: PREPARATIONS FOR MEDICAL, DENTAL OR TOILETRY PURPOSES (devices or methods specially adapted for bringing pharmaceutical products into particular physical or administering forms A61J3/00; chemical aspects of, or use of materials for deodorisation of air, for disinfection or sterilisation, or for bandages, dressings, absorbent pads or surgical articles A61L; soap compositions C11D)
- A61P: SPECIFIC THERAPEUTIC ACTIVITY OF CHEMICAL COMPOUNDS OR MEDICINAL PREPARATIONS

## Abstract

The invention relates to methods of evaluating the quality of a batch of an herbal composition, the method comprising subjecting a test batch of the herbal composition to one or more biological analysis methods and comparing the results derived from the test batch to the results of a known batch of herbal composition which has a known in vivo effect.

## Claims

### Claim 1

A method of treating a subject with cancer, the method comprising evaluating the quality and potential in vivo efficacy of a test batch of an herbal composition by subjecting the test batch of the herbal composition to one or more biological analysis methods selected from:
(a) a signaling transduction activity response assay; and
(b) a gene expression assay;
comparing the results of the biological analysis method(s) with results derived from a known batch of the herbal composition which has a known level of in vivo activity;
wherein if the test batch results have a correlation coefficient of between 0.90 and 1.0 with the known batch results, then the test batch is determined to have sufficiently similar quality as the known batch and potential in vivo activity,
wherein if the test batch of the herbal composition is determined to have sufficiently similar quality as the known batch, administering a therapeutically effective amount of the test batch of the herbal composition to the subject; and
wherein the herbal composition comprises one or more compositions selected from the group consisting of herbal extracts of Scutellaria baicalensis (S), Glycyrrhiza uralensis (G), Paeonia lactiflora (P), and Ziziphus jujuba (Z), and any fractions thereof.

### Claim 2 (depends on 1)

The method of claim 1, wherein the herbal composition is PHY906, wherein PHY906 comprises herbal extracts of Scutellaria baicalensis (S), Glycyrrhiza uralensis (G), Paeonia lactiflora (P), and Ziziphus jujuba (Z) in a 3:2 2:2 (S:G:P:Z) ratio.

### Claim 3 (depends on 1)

The method of claim 1, wherein the signal transduction activity response assay comprises one or more assays selected from the group consisting of luciferase reporter assays and enzymatic assays.

### Claim 4 (depends on 1)

The method of claim 1, wherein the gene expression assay comprises: treating hepatoma G2 (HepG2) cells with the herbal composition for 24 h, extracting the messenger ribonucleic acid (mRNA) produced and quantifying the mRNA through real-time quantitative reverse transcription-polymerase chain reaction (qRT-PCR) analysis.

### Claim 5 (depends on 1)

The method of claim 1, wherein the signaling transduction activity response assay omprises measuring the signal transduction activity response against one or more signaling pathways selected from the group consisting of: Tumor necrosis factor alpha-Nuclear factor kappa-light-chain-enhancer of activated B cells (TNFa-NFkB), Toll like receptor 2-Nuclear factor kappa-light-chain-enhancer of activated B cells (TLR2-NFkB), Toll like receptor 4-Nuclear factor kappa-light-chain-enhancer of activated B cells (TLR4-NFkB), Interleukin 6-Signal transducer and activator of transcription 3 (IL6-stat3), Interferon gamma-Signal transducer and activator of transcription 1/1(IFNg-stat1/1), Interferon alpha-Signal transducer and activator of transcription 1/1(IFNa-statl/2), Dexamethasone-Glucocorticoid receptor (DEX-GR), Cyclooxygenase-2 (COX-2), Inducible nitric oxide synthase (iNOS), Nuclear factor-erythroid factor 2-related factor 2(NRF2), Transforming growth factor beta-Mothers against decapentaplegic homolog 3(TGFb-Smad2/3), Tissue plasminogen activator-Activator protein 1(TPA-AP1), cAMP response element-binding protein (CREB), Wingless/Integrated 3a-Lymphoid enhancer factor/beta catenin (wnt3a-Lef/b-cat), Vitamin D3-vitamin D receptor (VD3-VDR), Estrogen receptors alpha (ER-alpha), Estrogen receptors beta (ER-beta), Dihydrotestosterone-Androgen receptor (DHT-AR), and Aldosterone-Mineralocorticoid receptor (aldosterone-MR).

### Claim 6 (depends on 1)

The method of claim 1, wherein the gene expression assay comprises measuring one or more protein-encoding genes selected from the group consisting of Intercellular adhesion molecule(ICAM), Interferon regulatory factor 5(IRF5), Aldo-keto reductase family 1 member C1(AKR1C1), heme oxygenase 1 (HO1), Glutamate—cysteine ligase catalytic subunit (GCLC), Glutamate-cysteine ligase modifier Subunit (GCLM), axis inhibition protein 2 (Axin2), Growth/differentiation factor-15(GDF15), Insulin like growth factor binding protein 3(IGFBP3), oxidative stress induced growth inhibitor 1 (OKL38), Pim-1 proto-oncogene, serine/threonine kinase (PIM1), SEI-1, RBT-1, and TARA domain (SERTAD), SOS Ras/Rac guanine nucleotide exchange factor 1 (SOS1), betaine--homocysteine S-methyltransferase 2 (BHMT2), carnitine palmitoyltransferase 1A (CPT1A), solute carrier family 7 member 11(SLC7A11), cluster of differentiation 24 (CD24), Epithelial Membrane Protein 2 (EMP2), and Keratin 23 (KRT23).

### Claim 7 (depends on 1)

The method of claim 1, wherein the one or more biological analysis methods differentiate between active batches of the herbal composition and inactive batches of the herbal composition better than chemical composition analysis methods.

### Claim 8 (depends on 7)

The method of claim 7, wherein the chemical composition analysis methods include LC-MS (liquid chromatography-mass spectrometry).

### Claim 9 (depends on 1)

The method of claim 1, wherein the quality of the test batch of the herbal composition is further analyzed by LC-MS.

### Claim 10 (depends on 1)

The method of claim 1, wherein the subject is a mammal.

### Claim 11 (depends on 10)

The method of claim 10, wherein the subject is a human subject.