Genetic variability, associations, and path analysis of chemical and morphological traits in Indian ginseng [Withania somnifera (L.) Dunal] for selection of higher yielding genotypes

The impact of non-environmental factors on the chemical variation of Radix Scrophulariae

Radix Scrophulariae is a commonly used Chinese herb derived from the dried root of Scrophularia ningpoesis Hemsl. (S. ningpoensis). It is difficult to accurately estimate the dosage of Chinese medicinal materials used in the prescription because of the chemical variation caused by various factors. To analyze the non-environmental factors affecting the chemical variation of Radix Scrophulariae, we planted nine different cultivated varieties of S. ningpoensis in the same plantation. Based on sequence-related amplified polymorphism (SRAP), simple sequence repeats (SSR) markers and high-performance liquid chromatography (HPLC) analysis, we found that the materials from the cultivated varieties could be divided into two groups, the Zhejiang group, and the southwest China group. The genetic distance based on molecular data between the two groups was above 0.3882, and the Euclidean distance based on chemical data between the two groups was above 5.312. The correlation analysis between the genetic distance matrix based on SRAP and the Euclidean distance matrix based on 18 HPLC peaks of the whole underground part revealed that the genetic differentiation and chemical variation were positively related, r = 0.7196 (p < 0.05). The genetic background, different part of the roots and the different development of the roots are the three non-environmental factors causing the chemical variation. The coefficient of variation (C.V) of chemical composition of Radix Scrophulariae with different genetic background reached to 93.62 %, the C.V of the chemical composition of Radix Scrophulariae derived from the same variety reached to 64.21 %, the C.V of the chemical composition of Radix Scrophulariae derived from the middle part of the roots of S. ningpoensis from the same variety reached to 45.55 %. The C.V of chemical composition of Radix Scrophulairae produced in the same plantation could be controlled to 38.43 % by using the same variety of roots with the approximate mass derived from the middle part of the roots under 20 g. Our findings provided insights to decrease the chemical variation of Chinese medicinal materials by controlling non-environmental factors.

Nootropic Herbs, Shrubs, and Trees as Potential Cognitive Enhancers

Plant-based nootropics are a diverse group of natural drugs that can improve cognitive abilities through various physiological mechanisms, especially in cases where these functions are weakened or impaired. In many cases, the nootropics enhance erythrocyte plasticity and inhibit aggregation, which improves the blood's rheological properties and increases its flow to the brain. Many of these formulations possess antioxidant activity that protects brain tissue from neurotoxicity and improves the brain's oxygen supply. They can induce the synthesis of neuronal proteins, nucleic acids, and phospholipids for constructing and repairing neurohormonal membranes. These natural compounds can potentially be present in a great variety of herbs, shrubs, and even some trees and vines. The plant species reviewed here were selected based on the availability of verifiable experimental data and clinical trials investigating potential nootropic effects. Original research articles, relevant animal studies, meta-analyses, systematic reviews, and clinical trials were included in this review. Selected representatives of this heterogeneous group included Bacopa monnieri (L.) Wettst., Centella asiatica (L.) Urban, Eleutherococcus senticosus (Rupr. & Maxim.) Maxim., Ginkgo biloba L., Lepidium meyenii Walp., Panax ginseng C.A. Meyer, Paullinia cupana Kunth, Rhodiola rosea L., Schisandra chinensis (Turcz.) Baill., and Withania somnifera (L.) Dunal. The species are depicted and described, together with their active components and nootropic effects, and evidence of their efficacy is presented. The study provides brief descriptions of the representative species, their occurrence, history, and the chemical composition of the principle medicinal compounds, with uses, indications, experimental treatments, dosages, possible side effects, and contraindications. Most plant nootropics must be taken at optimal doses for extended periods before measurable improvement occurs, but they are generally very well tolerated. Their psychoactive properties are not produced by a single molecule but by a synergistic combination of several compounds. The available data suggest that including extracts from these plants in medicinal products to treat cognitive disorders can have substantial potential therapeutic benefits.

Soluble Protein Content, Bioactive Compounds and the Antioxidant Activity in Seeds of Ten Rheum tanguticum Lines from Qinghai-Tibet Plateau

Rheum tanguticum (Rh. tanguticum) is a Chinese medicinal plant traditionally used in the treatment of constipation. As a byproduct, the seeds of this plant are rich in nutrients and phytochemicals. This study aimed to determine and assess seed germination ability, seed physical characteristics, soluble protein content, chemical constituents and antioxidant capacity from different breeding lines, to promote the development and utilization of seed resources. Significant differences were observed for the soluble protein content and antioxidant assays among the ten lines. The contents of aloe-emodin, rhein and catechins accumulated in seeds were extremely low and significantly different from those in roots. In contrast, emodin and chrysophanol were abundant in seeds, and significant differences were observed between seeds and roots. It was found that associations between gallic acid and catechins were not significant for either soluble protein or antioxidant capacity. There was a significantly positive correlation between the contents of four anthraquinones (aloe-emodin, rhein, emodin and chrysophanol) and soluble protein. Seeds have potent antioxidative capacity and relatively high levels of soluble protein content. The rich chemical composition of seeds can be widely used in the medical industry for further development.

Identification of anti-adipogenic withanolides from the roots of Indian ginseng (Withania somnifera)

Background

Withania somnifera (Solanaceae), generally known as Indian ginseng, is a medicinal plant that is used in Ayurvedic practice for promoting health and longevity. This study aims to identify the bioactive metabolites from Indian ginseng and elucidate their structures.

Methods

Withanolides were purified by chromatographic techniques, including HPLC coupled with LC/MS. Chemical structures of isolated withanolides were clarified by analyzing the spectroscopic data from 1D and 2D NMR, and HR-ESIMS experiment. Absolute configurations of the withanolides were established by the application of NMR chemical shifts and ECD calculations. Anti-adipogenic activities of isolates were evaluated using 3T3-L1 preadipocytes with Oil Red O staining and quantitative real-time PCR (qPCR).

Results

Phytochemical examination of the roots of Indian ginseng afforded to the isolation of six withanolides (1–6), including three novel withanolides, withasilolides G–I (1–3). All the six compounds inhibited adipogenesis and suppressed the enlargement of lipid droplets, compared to those of the control. Additionally, the mRNA expression levels of Fabp4 and Adipsin, the adipocyte markers decreased noticeably following treatment with 25 μM of 1–6. The active compounds (1–6) also promoted lipid metabolism by upregulating the expression of the lipolytic genes HSL and ATGL and downregulating the expression of the lipogenic gene SREBP1.

Conclusion

The results of our experimental studies suggest that the withasilolides identified herein have anti-adipogenic potential and can be considered for the development of therapeutic strategies against adipogenesis in obesity. Our study also provides a mechanistic rationale for using Indian ginseng as a potential therapeutic agent against obesity and related metabolic diseases.

Effect of Ashwagandha (Withania somnifera) extract on sleep: A systematic review and meta-analysis

OBJECTIVE

To determine the effect of Ashwagandha extract on sleep.

METHODS

A comprehensive search was conducted in CENTRAL, MEDLINE, SCOPUS, Google Scholars, World Health Organization Trials Portal, ClinicalTrials.gov, Clinical Trial Registry of India, and AYUSH Research Portal for all appropriate trials. Randomized controlled trials that examined the effect of Ashwagandha extract versus placebo on sleep in human participants 18 years old and above were considered. Two authors independently read all trials and independently extracted all relevant data. The primary outcomes were sleep quantity and sleep quality. The secondary outcomes were mental alertness on rising, anxiety level, and quality of life.

RESULTS

A total of five randomized controlled trials containing 400 participants were analyzed. Ashwagandha extract exhibited a small but significant effect on overall sleep (Standardized Mean Difference -0.59; 95% Confidence Interval -0.75 to -0.42; I2 =  62%). The effects on sleep were more prominent in the subgroup of adults diagnosed with insomnia, treatment dosage ≥600 mg/day, and treatment duration ≥8 weeks. Ashwagandha extract was also found to improve mental alertness on rising and anxiety level, but no significant effect on quality of life. No serious side effects were reported.

CONCLUSION

Ashwagandha extract appears to has a beneficial effect in improving sleep in adults. However, data on the serious adverse effects of Ashwagandha extract are limited, and more safety data would be needed to assess whether it would be safe for long-term use.

Molecular characterization of India Ginseng Withania somnifera (L) using ISSR markers

BACKGROUND

Ashwagandha (Withania somnifera (L.) Dunal), popularly known as Indian ginseng or winter cherry is a multipurpose plant of immense therapeutic value in the ayurvedic and indigenous medicine system and distributed in wide geographic locations and exhibiting extensive phenotypic and chemical variability.

METHODS AND RESULTS

The present study was carried out to assess the molecular genetic diversity among 4 CIMAP varieties and five local cultivars of ashwagandha and cluster dendrograms were created by using 20 ISSR primers. A total of 224 bands of varied length were produced, out of which 193 (86.1%) products were polymorphic and 31 (13.8%) products were monomorphic. Where each ISSR arbitrary primer had 5-16 valuable bands with an average of 11.2 bands per primer, of which 86.16% bands were polymorphic. The PIC values ranged from 0.16 to 0.36 with an average PIC value of 0.29 and RP values ranged from 2.22 to 7.99. The UPGMA cluster analysis of 20 ISSR primers grouped the nine accessions into 2 major clusters. The first and second major cluster consists of seven and two accessions respectively.

CONCLUSION

Therefore, this study provides evidence that ISSR based molecular diversity assessment can be used as an efficient tool for detecting similarity and phylogenetic relationships among genotypes of Withania somnifera collected from different geographical locations. This information can be used to improve root and other characteristics of ashwagandha genotypes and there is also scope for the development of high-yielding varieties by selecting diverse parents for crossing (based on the molecular diversity) from the present accessions.

Metabolomics of Withania somnifera (L.) Dunal: Advances and applications

ETHNOPHARMACOLOGICAL RELEVANCE

Withania somnifera L. (Solanaceae), commonly known as Ashwagandha or Indian ginseng, is used in Ayurveda (Indian system of traditional medicine) for vitality, cardio-protection and treating other ailments, such as neurological disorders, gout, and skin diseases.

AIM OF THE REVIEW

We present a critical overview of the information on the metabolomics of W. somnifera and highlight the significance of the technique for use in quality control of medicinal products. We have also pointed out the use of metabolomics to distinguish varieties and to identify best methods of cultivation, collection, as well as extraction.

MATERIAL AND METHODS

The relevant information on medicinal value, phytochemical studies, metabolomics of W. somnifera, and their applications were collected from a rigorous electronic search through scientific databases, including Scopus, PubMed, Web of Science and Google Scholar. Structures of selected metabolites were from the PubChem.

RESULTS

The pharmacological activities of W. somnifera were well documented. Roots are the most important parts of the plant used in Ayurvedic preparations. Stem and leaves also have a rich content of bioactive phytochemicals like steroidal lactones, alkaloids, and phenolic acids. Metabolomic studies revealed that metabolite profiles of W. somnifera depended on plant parts collected and the developmental stage of the plant, besides the season of sample collection and geographical location. The levels of withanolides were variable, depending on the morpho/chemotypes within the species of W. somnifera. Although studies on W. somnifera were initiated several years ago, the complexity of secondary metabolites was not realized due to the lack of adequate and fool-proof technology for phytochemical fingerprinting. Sophistications in chromatography coupled to mass spectrometry facilitated the discovery of several new metabolites. Mutually complementary techniques like LC-MS, GC-MS, HPTLC, and NMR were employed to obtain a comprehensive metabolomic profile. Subsequent data analyses and searches against spectral databases enabled the annotation of signals and dereplication of metabolites in several numbers without isolating them individually.

CONCLUSIONS

The present review provides a critical update of metabolomic data and the diverse application of the technique. The identification of parameters for standardization and quality control of herbal products is essential to facilitate mandatory checks for the purity of formulation. Such studies would enable us to identify the best geographical location of plants and the time of collection. We recommend the use of metabolomic analysis of herbal products based on W. somnifera for quality control as well as the discovery of novel bioactive compounds.