Evidence map›Paper›PMID 35779152›Full record

ArticleBotanical studies2022

Identification of the high-yield monacolin K strain from Monascus spp. and its submerged fermentation using different medicinal plants.

Yu-Pei Chen, Hong-Tan Wu, Ing-Er Hwang, Fang-Fang Chen, Jeng-Yuan Yao, Yiling Yin, Meng-Yun Chen, Li-Ling Liaw, Yang-Cheng Kuo

Open access · goldAbstract read
In one paragraph

Article in Botanical studies, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Yu-Pei ChenDepartment of Public Health and Medical Technology, Xiamen Medical College, Xiamen, 361023, Fujian, China.
Hong-Tan WuDepartment of Public Health and Medical Technology, Xiamen Medical College, Xiamen, 361023, Fujian, China.
Ing-Er HwangBioresource Collection and Research Center, Food Industry Research and Development Institute, HsinChu, Taiwan.
Fang-Fang ChenDepartment of Public Health and Medical Technology, Xiamen Medical College, Xiamen, 361023, Fujian, China.
Jeng-Yuan YaoInstitute of Respiratory Diseases Xiamen Medical College, Xiamen Medical College, Xiamen, 361023, Fujian, China.
Yiling YinEngineering Research Center of Natural Cosmeceuticals College of Fujian Province, Xiamen Medical College, Xiamen, 361023, Fujian, China.
Meng-Yun ChenEngineering Research Center of Natural Cosmeceuticals College of Fujian Province, Xiamen Medical College, Xiamen, 361023, Fujian, China.
Li-Ling LiawBioresource Collection and Research Center, Food Industry Research and Development Institute, HsinChu, Taiwan.
Yang-Cheng KuoBioresource Collection and Research Center, Food Industry Research and Development Institute, HsinChu, Taiwan. yck24@firdi.org.tw.ORCID http://orcid.org/0000-0001-7477-0727
Food Industry Research and Development Institute · TWXiamen Medical CollegeZhongshan Hospital of Xiamen University · CN

Funding

Fujian Provincial Health Commission 2019-ZQNB-20Ministry of Science and Technology, Taiwan 110WFA0911781
6 · The paper itself

Abstract

backgroundMedical plants confer various benefits to human health and their bioconversion through microbial fermentation can increase efficacy, reduce toxicity, conserve resources and produce new chemical components. In this study, the cholesterol-lowering monacolin K genes and content produced by Monascus species were identified. The high-yield monacolin K strain further fermented with various medicinal plants. The antioxidant and anti-inflammatory activities, red pigment and monacolin K content, total phenolic content, and metabolites in the fermented products were analyzed.

resultsMonacolin K was detected in Monascus pilosus (BCRC 38072), and Monascus ruber (BCRC 31533, 31523, 31534, 31535, and 33323). It responded to the highly homologous mokA and mokE genes encoding polyketide synthase and dehydrogenase. The high-yield monacolin K strain, M. ruber BCRC 31535, was used for fermentation with various medicinal plants. A positive relationship between the antioxidant capacity and total phenol content of the fermented products was observed after 60 days of fermentation, and both declined after 120 days of fermentation. By contrast, red pigment and monacolin K accumulated over time during fermentation, and the highest monacolin K content was observed in the fermentation of Glycyrrhiza uralensis, as confirmed by RT-qPCR. Moreover, Monascus-fermented medicinal plants including Paeonia lactiflora, Alpinia oxyphylla, G. uralensis, and rice were not cytotoxic. Only the product of Monascus-fermented G. uralensis significantly exhibited the anti-inflammatory capacity in a dose-dependent manner in lipopolysaccharide-induced Raw264.7 cells. The metabolites of G. uralensis with and without fermentation (60 days) were compared by LC/MS. 2,3-Dihydroxybenzoic acid, 3,4-dihydroxyphenylglycol, and 3-amino-4-hydroxybenzoate were considered to enhance the antioxidant and anti-inflammatory ability.

conclusionsGiven that highly homologous monacolin K and citrinin genes can be observed in Monascus spp., monacolin K produced by Monascus species without citrinin genes can be detected through the complementary methods of PCR and HPLC. In addition, the optimal fermentation time was important to the acquisition of antioxidants, red pigment and monacolin K. These bioactive substances were significantly affected by medicinal plants over fermentation time. Consequently, Monascus-fermented G. uralensis had a broad spectrum of biological activities.

Indexed as

Anti-inflammatory capacityAntioxidant capacityGlycyrrhiza uralensisMonacolin KMonascus

Identifiers

PMID35779152
PMCPMC9250582
OpenAlexW4283780189

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.