Study on Computer Screening and Drug Properties of Herbs Intervening in Copper Death

Dayuan, Zhong; Lan, Li; Hui, Cheng; Huanjie, Li; Yumei, Liu; Yumiao, Luo; Deliang, Liu; Dingxiang, Li; Yihui, Deng

doi:https://doi.org/10.1155/2023/3311834

Computational and Mathematical Methods in Medicine

On this page

Abstract Introduction Results Discussion Limitations Conclusion Abbreviations Data Availability Conflicts of Interest Authors’ Contributions Acknowledgments References Copyright Related Articles

Research Article | Open Access

Volume 2023 | Article ID 3311834 | https://doi.org/10.1155/2023/3311834

Study on Computer Screening and Drug Properties of Herbs Intervening in Copper Death

Zhong Dayuan,¹Li Lan,²Cheng Hui,¹Li Huanjie,³Liu Yumei,⁴Luo Yumiao,¹Liu Deliang,¹Li Dingxiang,²and Deng Yihui²

Academic Editor: John Mitchell

Received27 Jul 2022

Revised15 Dec 2022

Accepted23 Dec 2022

Published11 Jan 2023

Abstract

Objective. The objective of this study was to explore the medicinal properties of herbal medicines that can interfere with the copper death pathway. Methods. The Human Gene Database, Chemical Interactions in Comparative Toxicogenomics Database, Encyclopedia of Traditional Chinese Medicine, China Medical Information Platform, and Cytoscape software were used to find target and chemicals that interfere with copper death targets, as well as herbal medicines containing these chemicals and their four natures and five flavors (basic properties of herbal medicines). Results. 27 copper death-related targets were finally retrieved, as well as 2143 chemicals that could interfere with them, including 180 herbal compounds. The compounds with the highest degree values (number of nodes connected to this node) were folic acid, resveratrol, and quercetin. The 180 compounds were related to 278 herbs; those with the highest degree values (number of nodes connected to this node) were Jujubae Fructus, Ginkgo biloba L, and Acanthopanax senticosus. The 27 copper death targets were indirectly associated with 278 herbs; those with the highest degree values (number of nodes connected to this node) were Achyranthis Bidentatae Radix, Polygonum cuspidatum Sieb. et Zucc, and Mori Folium. Among the 278 herbs, 6 had incomplete information. A pharmacological analysis showed that among the 272 Chinese herbs, the most frequent meridians were the liver (133), lung (104), and spleen (91). Of the four natures, the most frequent were cold (73), warm (68), and flat (45). Of the five flavors, the most frequent were bitter (165), pungent (116), and sweet (99). Conclusion. This study preliminarily discussed the material basis and medicinal properties of herbs that can intervene in copper death, which can provide reference for the theoretical discussion, drug development, and clinical research of Chinese medicine regulating copper death.

1. Introduction

Programmed cell death (PCD) is ubiquitous in the development of organisms and is an ordered death initiated by genes. PCD includes apoptosis, pyroptosis, iron death, autophagy, and the newly discovered copper death [1, 2]. Copper is a metal element widely present in nature; it is also a necessary trace element for the human body and participates in various physiological activities such as energy metabolism, antioxidant processes, neurotransmitter formation, iron metabolism, and other important life activities [3]. The valence of copper is usually +1 or +2. The copper ingested by mammals enters the tissue fluid and plasma in the state of Cu²⁺, which is reduced to Cu⁺ by epithelial cell reductase and then bound to the cell with ceruloplasmin (CP) [4]. Copper ions play an important role in the normal function and physiological activity of copper proteins. When the copper ion content is too low, the function of copper ion-related enzymes is damaged. On the contrary, apoptosis and oxidative stress are activated, resulting in tissue and organ damage [5, 6]. Excessive copper ions can even directly lead to cell death without apoptosis, as seen in excessive accumulation of copper ions in cells to produce copper toxicity, resulting in cell death. The mechanism of copper ionophore-induced cytotoxicity has not been clearly studied. Recently, Tsvetkov et al. found that when known cell death modes (e.g., apoptosis, iron death, pyroptosis, and necrotizing apoptosis) were blocked, abnormally elevated copper ions in human cells could still induce cell death. This copper-dependent regulated cell death pattern is closely related to mitochondrial respiration. It occurs mainly through the direct combination of copper with the fatty acylation components of the tricarboxylic acid cycle, where the accumulation of fatty acylation proteins and the subsequent loss of Fe-S cluster proteins lead to protein toxicity stress and ultimately cell death [2]. This process is related to the ferredoxin 1 (FDX1), lipoic acid synthetase (LIAS), lipoyltransferase 1 (LIPT1), dihydrolipoamide dehydrogenase (DLD), dihydrolipoamide S-acetyl transferase (DLAT), pyruvate dehydrogenase E1 subunit alpha 1 (PDHA1), pyruvate dehydrogenase E1 subunit beta (PDHB), metal regulatory transcription factor 1 (MTF1), glutaminase (GLS), and cyclin-dependent kinase inhibitor 2A (CDKN2A) proteins, as well as the protein acylation mechanism. FDX1 and protein acylation are key regulators of copper death. Protein acylation is a highly conserved posttranslational modification of lysine, which regulates protein function by attaching lipoic acid groups to lysine residues of substrate proteins. Protein acylation only occurs in the important components of pyruvate dehydrogenase complexes such as dihydrothiooctamide S-succinyl transferase (DLST) and DLAT. Protein acylation modification of these enzymes is necessary for regulating and exerting enzymatic functions [7]. By knocking out FDX1, the expressions of DLAT and DLST in cells are completely lost, suggesting that FDX1 is the upstream regulator of protein acylation [2].

The biological effect of copper ions is U-shaped (nonlinear) [8], where high or low copper ion concentrations are not conducive to cell survival. Lack of copper ions will lead to the decrease of serum copper and CP levels and low immune response. Experimentally, severe copper deficiency has been shown to damage the innate and acquired immune functions of animals. Excessive copper can also cause cytotoxicity and damage to immune function [9]. Therefore, copper ions have bidirectional regulatory effects, and their metabolic stability is closely related to the normal functioning of intracellular functions [10]. Studies have shown that copper death is related to intracellular copper ion overload [2]. The stability of copper metabolism in vivo is not only related to food intake, gastrointestinal absorption, blood transport, hepatobiliary excretion, and distribution, but it involves also a series of processes such as intracellular copper uptake, distribution, storage, and efflux [11]. The dysfunction of the functional proteins and their modification and chaperones in each process will cause abnormal copper metabolism, leading to copper deficiency or copper overload disease [12, 13].

Copper in food is first taken by intestinal epithelial cells (IECs) and then bound to Cu-related proteins after entering the cells. It enters the peripheral circulation through the intestinal lateral membrane. Copper is then transported to the liver and integrated into the CP of the liver cells [4, 9]. CP is the most important copper transporter, as more than 90% of copper in blood is transported to various organs through CP [14]. When entering cells, copper needs the help of human copper transporter 1 (hCtr1) [15], which is a high-affinity Cu⁺ transporter that can transport Cu⁺ into the cytoplasm. In addition, Cu⁺ transport can also be achieved by ATPase copper transporting alpha (ATP7A) and beta (ATP7B) in peripheral and liver tissue cells [16]. Copper can be transported to the trans-Golgi network and vesicles by ATP7A. When copper is abundant, any excess is bound by antioxidant 1 copper chaperone (ATOX1) and then transferred to the bile duct membrane through the N-terminal metal binding domain of ATP7B to enter the bile and discharge out of the cells [17, 18]. Copper enters cells, binds to copper chaperones, and is assembled into functional proteins to prevent free copper ions from catalyzing the oxidation of intracellular biomolecules to produce reactive oxygen species [9]. Common copper chaperones are copper chaperone for superoxide dismutase (CCS), ATOX1, and cytochrome C oxidase copper chaperone COX17 (COX17) [19–21].

The regulation of cell death through copper ion metabolism has important strategic significance for the prevention and treatment of diseases. Chinese medicine has a history spanning more than 5000 years, and its role in improving disease has been verified by historical experience and current clinical research evidence. Traditional Chinese medicine involves many chemical components that can be associated with multiple targets and systems. Therefore, it is difficult to study the pathogenesis of traditional Chinese medicines. At present, the mechanisms of such medicines for treating diseases have not been clearly studied. However, the copper-induced cell death pathway broadens the application of traditional Chinese medicine in treating diseases. Therefore, the systematic summary of herbs that can regulate copper death and their properties and tastes has important strategic significance for the subsequent selection, theoretical discussion, and development of innovative medicines that can intervene in copper death.

2. Information and Methodology

2.1. Collection of Copper Death Targets

With “copper death” as the search term, the search function of the Human Gene Database (GeneCards) was used to retrieve copper death-related targets [22]. Relevance score refers to the correlation between proteins and related diseases, where the larger the relevance score, the stronger the correlation, and vice versa. In this study, a relevance score of >30 was used as the screening condition. Targets with a relevance score of 30 were included. Proteins related to copper death were supplemented through a literature collection and then through the STRING database and UniProt database query targets and UniProt numbers [23, 24]. Targets without information were removed.

2.2. Collection of Compounds That Interfere with Copper Death-Related Proteins

Information on the copper death targets was searched for through the gene search function of the Comparative Toxicogenomics Database (CTD) [25]. Chemicals that interfere with the targets were retrieved through the Chemical Interactions function. Then, the chemicals that could interfere with copper death targets were retrieved one by one from the Encyclopedia of Traditional Chinese Medicine (ETCM), and the retrieved chemicals were recorded as herbal compounds. Chemicals that could not be retrieved were excluded [26]. Then, a relationship network between the copper death targets and the herbal compounds was constructed by the Cytoscape software. The key compounds with the highest degree values (number of nodes connected to this node) were screened out through the network analysis function of Cytoscape 3.6.1.

2.3. Collection and Analysis of Herbal Medicines Related to Compounds

By searching the ETCM, the compounds’ information was found one by one. Information about the compounds contained in herbal medicine was found using the Herbs Containing This Ingredient function. Then, a network of herbal compounds and herbal medicines was constructed by Cytoscape 3.6.1. The herbal medicines with the highest degree values (number of nodes connected to this node) were screened out by the network analysis function of Cytoscape. The information on Latin names, medicinal properties, meridian, four natures, and five flavors (https://www.dayi.org.cn/) of the herbs was searched for in the China Medical Information Platform (CMIP). Through the book Chinese Materia Medica [27], herbal information was supplemented, and herbal medicines that could not be found were eliminated.

3. Results

3.1. Collection of Copper Death-Related Targets

A total of 2133 copper death-related targets were found through the GeneCards database. Seventeen copper death-related targets were obtained (with relevance scores greater than 30). Ten additional targets related to copper death were added based on the latest literature published in Nature [2]. Thus, 27 copper death-related targets were entered, as shown in Table 1.

3.2. Collection of Compounds Regulating Copper Death Targets

The information of the 27 copper death targets was searched for one by one through the Gene Search function of CTD. Chemicals that can interfere with the target were obtained by the Chemical Interactions function. A total of 2143 chemicals were found in the CTD database that could interfere with the 27 copper death targets, as shown in Figure 1(a). Information for these chemicals was retrieved one by one through the ETCM database, and chemicals that were not found in the database were eliminated. The results showed that the 2143 chemicals were contained in 180 herbal compounds. A relationship network between the 27 copper death targets and 180 herbal compounds was constructed by Cytoscape, as shown in Figure 1(b).

(a)

(b)

3.3. Screening of Core Herbal Compounds

The network analysis function of Cytoscape was used to analyze the relationship between the 27 copper death targets and 180 herbal compounds. The results showed that the 10 herbal compounds with the highest degree values (number of nodes connected to this node) were folic acid (FA), resveratrol, quercetin, genistein, dibutyl phthalate, rotenone, glucose, abrine, triptonide, and toluene. A network was constructed for these 10 core herbal compounds and their related targets, which indicated their association with 26 targets, as shown in Figure 2(a). Among them, 21 copper death-related proteins can be regulated by FA, 15 can be regulated by resveratrol, and 15 can be regulated by quercetin, as shown in Figures 2(b)–2(d).

(a)

(b)

(c)

(d)

3.4. Collection of Herbs Related to Herbal Compounds

The information of the abovementioned 180 herbal compounds was searched for one by one by ETCM, and 278 herbal compounds were collected. 180 herbal compound and 278 herbal medicine relationship networks were constructed by Cytoscape, as shown in Figure 3(a). An indirect network analysis was carried out on the network, and the 10 herbal compounds with the highest degree values (number of nodes connected to this node) were sorted in a descending order as follows: Jujubae Fructus, Ginkgo biloba L, Acanthopanax senticosus, Polygonum cuspidatum Sieb. et Zucc, Folium Artemisiae Argyi, Apocynum venetum L, Perillae Fructus, Exocarpium Citri Grandis, Aloe, and Ginseng Radix et Rhizoma. A relationship network of the 10 core herbs and their related herbal compounds was constructed, as shown in Figure 3(b).

(a)

(b)

3.5. Screening of Core Herbal Medicines

Relationship networks between 27 copper death targets and 278 herbal medicines were constructed by Cytoscape, as shown in Figure 4(a). An indirect network analysis was carried out on the network, and the 10 herbs with the highest degree values (number of nodes connected to this node) were sorted in a descending order as follows: Achyranthis Bidentatae Radix, Polygonum cuspidatum Sieb. et Zucc, Mori Folium, Rhapontici Radix, Cyathulae Radix, Ecliptae Herba, Sophorae Flos, Folium Artemisiae Argyi, Sophorae Fructus, and Eriocauli Flos, as shown in Figure 4(b).

(a)

(b)

3.6. Analysis of the Meridian Tropism, Four Flavors, and Five Flavors of the Herbs

Information about the meridian tropism, four natures, and five flavors of the herbs was obtained through the CMIP system and Chinese Materia Medica [27]. Information could not be found for six of the herbs. For example, the meridian tropism of Chelidonium majus L, Solanum nigrum L, Tupistra chinensis Bak, and Gleditsia sinensis Lam [G. officinalis Hemsl] could not be found, nor could the meridian tropism, four natures, and five flavors of Geum japonicum var. chinense F. Bolle and Smilacina japonica A. Gray. After the six drugs were excluded, the remaining 272 herbs were analyzed for meridian tropism, four natures, and five flavors. The results showed that the most frequent meridians found were those of the liver (133), lung (104), and spleen (91), as shown in Figure 5(a). Of the four natures, the most frequent were cold (73), warm (68), and flat (45), as shown in Figure 5(b). Of the five flavors, the most frequent were bitter (165), pungent (116), and sweet (99), as shown in Figure 5(c).

(a)

(b)

(c)

4. Discussion

Systematic pharmacology is a new model for studying the molecular mechanism of drugs through big data analysis [28]. By integrating multiple database resources, the process of traditional Chinese medicine research can be simplified and more accurate. By using the systematic pharmacology method, we found 180 herbal compounds that could interfere with copper death. Most of the copper death targets could be regulated by FA, resveratrol, and quercetin. FA, also known as vitamin B9, is a completely oxidized synthetic form of polyglutamate monoglutamine and a water-soluble vitamin [29]. FA is involved in many reactions, which are related to many biosynthetic pathways that allow the correct synthesis of proteins and nucleic acids in different organisms [30, 31]. So FA metabolism is essential to ensure the correct function of all living cells. Resveratrol is a kind of estradiol, a natural phenol, and plant antitoxin produced by several plants in response to injury or when plants are attacked by pathogens (e.g., bacteria or fungi). It has antioxidant, anti-inflammatory, myocardial protection, antimutation, anticancer, and other effects. It can also inhibit platelet aggregation and the activities of several deoxyribonucleic acid helicases in vitro. Quercetin is a flavonol that is widely distributed in plants and acts as an antioxidant. In this study, FA was found to regulate the expression of 21 copper death targets, including FDX1. Resveratrol can regulate the expression of 15 copper death targets, including FDX1. Similarly, quercetin can also regulate the expression of 15 copper death targets, including FDX1. In fact, current studies have shown that the regulation of FDX1 expression by these three compounds is mainly achieved by mRNA. Lin et al. found that 1,2-dimethylhydrazine and FA can lower FDX1 mRNA expression [32], as can resveratrol, according to Sadi et al. [33], and quercetin, according to Cormier et al. [34]. The important role of FDX1 in the regulation of copper death suggests that these three compounds have regulatory effects.

Through systematic pharmacological methods, we found 278 herbs containing compounds that can regulate copper death proteins. Among them, Jujubae Fructus, Ginkgo biloba L, and Acanthopanax senticosus contained the most compounds that could regulate copper death proteins. Jujubae Fructus is the mature fruit of Ziziphus jujuba Mill. Ginkgo biloba L is the seed of Ginkgo biloba L. Both of these two herbs have great medicinal and nutritional value and are currently recommended by the Ministry of Health of China as “dual-use resources.” Modern studies have found that Jujubae Fructus, which has important applications in clinical medicine, contains abundant nutrients, various trace elements, and a large number of nucleotide derivatives. Clinical studies have shown that Jujubae Fructus has a good adjuvant therapeutic effect on tumors, hypertension, hypercholesterolemia, and other diseases. The research and development of compounds in Ginkgo biloba L have mainly focused on flavonoids, terpene lactones, phenolic acids, polysaccharides, and other components. Modern studies have shown that Jujubae Fructus has the effects of antiaging, antioxidation, improving immunity, and liver protection [35]. Ginkgo biloba L has antioxidant, anti-inflammatory, neuroprotective, antitumor, antibacterial, and other pharmacological activities [36]. Whether these effects are related to the copper death pathway is unknown. By integrating traditional Chinese medicine-compound and compound-copper death target networks, we found that Achyranthis Bidentatae Radix, Polygonum cuspidatum Sieb. et Zucc, and Mori Folium could interfere with the most targets related to copper death. The reason may be that Achyranthis Bidentatae Radix contains FA compounds. Polygonum cuspidatum Sieb .et Zucc contains two compounds, resveratrol and quercetin. Mori Folium contains FA compounds. FA, resveratrol, and quercetin could regulate the most copper death-related targets. Therefore, the study of Achyranthis Bidentatae Radix, Polygonum cuspidatum Sieb. et Zucc, and Mori Folium regulating copper death can start with these three compounds.

This study found that most herbs that can regulate copper death are liver, lung, and spleen meridians. Of the four natures, the most frequent are cold, warm, and peaceful. Of the five flavors, the most frequent are bitter, pungent and sweet. Our previous studies have found that the meridian tropism of herbal medicine may be related to the expression differences of regulated targets in different organs [37, 38]. Considering that the number of adjustable targets of herbs is far more than the number of copper death targets, it is difficult to clarify the relationship between copper death-related targets and meridian attribution. Traditional Chinese medicine believes that the liver is the “basis of regulation” of the human body, which is similar to the neurohumoral regulation function in modern medicine [39]. Current studies on copper metabolism suggest that CP is very important in copper metabolism. As the most important copper transporter, more than 90% of copper in blood is transported to various organs via CP. CP is produced by liver cells [9], which may be the reason for the association between liver meridian and copper death. However, there are differences in the understanding of Chinese and Western medicine, particularly that of organs, as both approaches are not completely unified [40]. The relationship between liver meridian and copper death still needs a lot of rigorous experiments to study and verify.

5. Limitations

The data in this study are obtained from databases, lacking experimental data support. Compounds regulating copper death targets have been supported by experiments, but these studies are few and not comprehensive. It is not clear whether compounds directly bind to copper death targets or act upstream or downstream. Moreover, this study only considered the relationship and quantity among targets, compounds, and herbs. Multiple influencing factors have not been thoroughly analyzed, such as the strength of efficacy between compounds and targets, the content of compounds in different Chinese medicines, the effect of different origins on the content of compounds contained in herbs, and the effect of different boiling methods on Chinese medicine compounds. The information of the medicinal properties of some herbs is missing. Information on the medicinal properties of the herbs was collected but not statistically analyzed, and it is unclear whether there are differences in the medicinal properties of the herbs that crudely interfere with copper death.

6. The Direction of Future Research

Based on copper death-related proteins, this study screened 2143 factors that could interfere with 27 copper death-related proteins by searching multiple databases. Then, we searched the information of intervention factors one by one through the ETCM database and finally obtained 180 herbal compounds that could interfere with copper death-related proteins and found herb information containing the compound through the compound information. However, there are two core steps involved in this process. One is to determine that copper death-related proteins can be intervened by herbal compounds. Another is to identify the herbal compound associated with the herb. However, it is not sufficient to determine the strength of the evidence for these two steps solely in the form of a database. Future experimental studies should therefore be carried out to provide evidence that copper death-associated proteins can be intervened by herbal compounds and that herbal compounds are herb-related, for example, the category of chemical substances contained in each herb, the detection of content, bioavailability, and other related experiments. Studies on the relationship between each compound and copper death-associated protein content have included in vivo and in vitro experiments. It is also necessary to understand the mechanism of each compound interfering with copper death-related proteins, including verifying the upstream and downstream molecules of copper death-related proteins.

7. Conclusion

In summary, this study systematically explored the herbal compounds and the potential herbs that can regulate the mechanism of copper death from the view of copper death-related targets by systematic pharmacological methods and discussed their medicinal properties. However, the results of this study still need further experiments for verification.

Abbreviations

AOC3:	Amine oxidase copper containing 3
APP:	Amyloid beta precursor protein
ATOX1:	Antioxidant 1 copper chaperone
ATP7A:	ATPase copper transporting alpha
ATP7B:	ATPase copper transporting beta
CASP8:	Caspase 8
CAV3:	Caveolin 3
CCS:	Copper chaperone for superoxide dismutase
CDKN2A:	Cyclin-dependent kinase inhibitor 2A
CMIP:	China Medical Information Platform
COMMD1:	Copper metabolism domain containing 1
COX17:	Cytochrome C oxidase copper chaperone COX17
CP:	Ceruloplasmin
CTD:	Comparative Toxicogenomics Database
DLAT:	Dihydrolipoamide S-acetyl transferase
DLD:	Dihydrolipoamide dehydrogenase
DLST:	Dihydrothiooctamide S-succinyl transferase
ETCM:	Encyclopedia of Traditional Chinese Medicine
FA:	Folic acid
FAS:	Fas cell surface death receptor
FDX1:	Ferredoxin 1
GeneCards:	Human Gene Database
GLS:	Glutaminase
hCtr1:	Human copper transporter 1
IECs:	Intestinal epithelial cells
KCNQ1:	Potassium voltage-gated channel subfamily Q member 1
LIAS:	Lipoic acid synthetase
LIPT1:	Lipoyltransferase 1
MTF1:	Metal regulatory transcription factor 1
PCD:	Programmed cell death
PDHA1:	Pyruvate dehydrogenase E1 subunit alpha 1
PDHB:	Pyruvate dehydrogenase E1 subunit beta
SCN5A:	Sodium voltage-gated channel alpha subunit 5
SCO2:	Synthesis of cytochrome C oxidase 2
SLC31A1:	Solute carrier family 31 member 1
SOD1:	Superoxide dismutase 1.

Data Availability

Requests for additional data may be granted upon reasonable request by contacting the author (Dayuan Zhong, [email protected]).

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Authors’ Contributions

Determination of the direction of the topic was performed by Deng Yihui, Zhong Dayuan, Li Dingxiang, and Liu Deliang. Data curation was performed by Zhong Dayuan, Li Lan, Li Huanjie, Liu Yumei, and Luo Yumiao. Data analysis was performed by Zhong Dayuan. Writing original draft was performed by Zhong Dayuan. Article translation was performed by Zhong Dayuan. Revision of the manuscript was performed by Zhong Dayuan and Cheng Hui.

Acknowledgments

This study was funded by the National Natural Science Foundation of China (81874416); Science, Technology Innovation Team Project of Hunan (2020RC4050); and Hunan Provincial Innovation Foundation for Postgraduate (CX20220788).

References

D. Moujalled, A. Strasser, and J. R. Liddell, “Molecular mechanisms of cell death in neurological diseases,” Cell Death and Differentiation, vol. 28, no. 7, pp. 2029–2044, 2021.
View at: Publisher Site | Google Scholar
P. Tsvetkov, S. Coy, B. Petrova et al., “Copper induces cell death by targeting lipoylated TCA cycle proteins,” Science, vol. 375, no. 6586, pp. 1254–1261, 2022.
View at: Publisher Site | Google Scholar
M. T. Lorincz, “Wilson disease and related copper disorders,” Handbook of Clinical Neurology, vol. 147, pp. 279–292, 2018.
View at: Publisher Site | Google Scholar
B. Liu, W. Y. Yang, and L. Y. Yang, “Research progress on regulation mechanism of copper intestinal homeostasis,” Zhongguo Xumu Shouyi, vol. 44, pp. 2662–2667, 2017.
View at: Google Scholar
S. A. Tsymbal, A. A. Moiseeva, N. A. Agadzhanian et al., “Copper-containing nanoparticles and organic complexes: metal reduction triggers rapid cell death via oxidative burst,” International Journal of Molecular Sciences, vol. 22, no. 20, article 11065, 2021.
View at: Publisher Site | Google Scholar
A. T. Gordon, O. O. Abosede, S. N. Ntsimango et al., “Synthesis and anticancer evaluation of copper(II)- and manganese(II)- theophylline mixed ligand complexes,” Polyhedron, vol. 214, article 115649, 2022.
View at: Publisher Site | Google Scholar
E. A. Rowland, C. K. Snowden, and I. M. Cristea, “Protein lipoylation: an evolutionarily conserved metabolic regulator of health and disease,” Current Opinion in Chemical Biology, vol. 42, pp. 76–85, 2018.
View at: Publisher Site | Google Scholar
B. R. Stern, “Essentiality and toxicity in copper health risk assessment: overview, update and regulatory considerations,” Journal of Toxicology and Environmental Health. Part A, vol. 73, no. 2-3, pp. 114–127, 2010.
View at: Publisher Site | Google Scholar
S. J. Xiang and Y. Z. Liu, “Trace element copper and human physiological functions and diseases,” Daxue Huaxue, vol. 37, pp. 7–17, 2022.
View at: Google Scholar
E. J. Ge, A. I. Bush, A. Casini et al., “Connecting copper and cancer: from transition metal signalling to metalloplasia,” Nature Reviews Cancer, vol. 22, no. 2, pp. 102–113, 2022.
View at: Publisher Site | Google Scholar
S. G. Kaler, “Inborn errors of copper metabolism,” Handbook of Clinical Neurology, vol. 113, pp. 1745–1754, 2013.
View at: Publisher Site | Google Scholar
W. Hermann, “Classification and differential diagnosis of Wilson's disease,” Annals of Translational Medicine, vol. 7, Supplement 2, p. S63, 2019.
View at: Publisher Site | Google Scholar
E. Madsen and J. D. Gitlin, “Copper and iron disorders of the brain,” Annual Review of Neuroscience, vol. 30, no. 1, pp. 317–337, 2007.
View at: Publisher Site | Google Scholar
E. A. Roberts and M. L. Schillsky, “Diagnosis and treatment of Wilson disease: an update,” Hepatology, vol. 47, no. 6, pp. 2089–2111, 2008.
View at: Publisher Site | Google Scholar
C. J. De Feo, S. G. Aller, G. S. Siluvai, N. J. Blackburn, and V. M. Unger, “Three-dimensional structure of the human copper transporter hCTR1,” Proceedings of the National Academy of Sciences, vol. 106, no. 11, pp. 4237–4242, 2009.
View at: Publisher Site | Google Scholar
Y. Wang, V. Hodgkinson, S. Zhu, G. A. Weisman, and M. J. Petris, “Advances in the understanding of mammalian copper transporters,” Advances in Nutrition, vol. 2, no. 2, pp. 129–137, 2011.
View at: Publisher Site | Google Scholar
Y. Li, “Copper homeostasis: emerging target for cancer treatment,” IUBMB Life, vol. 72, no. 9, pp. 1900–1908, 2020.
View at: Publisher Site | Google Scholar
S. Narindrasorasak, X. Zhang, E. A. Roberts, and B. Sarkar, “Comparative analysis of metal binding characteristics of copper chaperone proteins, Atx1 and ATOX1,” Bioinorganic Chemistry and Applications, vol. 2, no. 1-2, pp. 105–123, 2004.
View at: Publisher Site | Google Scholar
T. D. Rae, P. J. Schmidt, R. A. Pufahl, V. C. Culotta, and T. V. O'Halloran, “Undetectable intracellular free copper: the requirement of a copper chaperone for superoxide dismutase,” Science, vol. 284, no. 5415, pp. 805–808, 1999.
View at: Publisher Site | Google Scholar
S. Itoh, H. W. Kim, O. Nakagawa et al., “Novel role of antioxidant-1 (Atox1) as a copper-dependent transcription factor involved in cell proliferation,” The Journal of Biological Chemistry, vol. 283, no. 14, pp. 9157–9167, 2008.
View at: Publisher Site | Google Scholar
K. Kako, A. Takehara, H. Arai et al., “A selective requirement for copper-dependent activation of cytochrome c oxidase by Cox17p,” Biochemical and Biophysical Research Communications, vol. 324, no. 4, pp. 1379–1385, 2004.
View at: Publisher Site | Google Scholar
S. Fishilevich, R. Nudel, N. Rappaport et al., “GeneHancer: genome-wide integration of enhancers and target genes in GeneCards,” Database: The Journal of Biological Databases and Curation, vol. 2017, article bax028, 2017.
View at: Publisher Site | Google Scholar
D. Szklarczyk, A. L. Gable, K. C. Nastou et al., “Correction to ‘The STRING database in 2021: customizable protein-protein networks, and functional characterization of user-uploaded gene/measurement sets’,” Nucleic Acids Research, vol. 49, no. 18, p. 10800, 2021.
View at: Publisher Site | Google Scholar
T. U. P. Consortium, “UniProt: a worldwide hub of protein knowledge,” Nucleic Acids Research, vol. 47, no. D1, pp. D506–D515, 2019.
View at: Publisher Site | Google Scholar
A. P. Davis, C. J. Grondin, R. J. Johnson et al., “Comparative Toxicogenomics Database (CTD): update 2021,” Nucleic Acids Research, vol. 49, no. D1, pp. D1138–D1143, 2021.
View at: Publisher Site | Google Scholar
H. Y. Xu, Y. Q. Zhang, Z. M. Liu et al., “ETCM: an encyclopaedia of traditional Chinese medicine,” Nucleic Acids Research, vol. 47, no. D1, pp. D976–D982, 2019.
View at: Publisher Site | Google Scholar
G. S. Zhong, Chinese Materia Medica, China Press of Traditional Chinese Medicine, Beijing, 2012.
A. L. Liu and G. H. Du, “Network pharmacology: new ideas of drug discover,” Yaoxue Xuebao, vol. 45, pp. 1472–1477, 2010.
View at: Google Scholar
N. Shelke and L. Keith, “Folic acid supplementation for women of childbearing age versus supplementation for the general population: a review of the known advantages and risks,” International Journal of Family Medicine, vol. 2011, Article ID 173705, 4 pages, 2011.
View at: Publisher Site | Google Scholar
M. Lucock, “Folic acid: nutritional biochemistry, molecular biology, and role in disease processes,” Molecular Genetics and Metabolism, vol. 71, no. 1-2, pp. 121–138, 2000.
View at: Publisher Site | Google Scholar
D. Fernández-Villa, M. J. Gómez-Lavín, C. Abradelo, J. S. Román, and L. Rojo, “Tissue engineering therapies based on folic acid and other vitamin b derivatives. Functional mechanisms and current applications in regenerative medicine,” International Journal of Molecular Sciences, vol. 19, no. 12, p. 4068, 2018.
View at: Publisher Site | Google Scholar
Y. W. Lin, J. L. Wang, H. M. Chen et al., “Folic acid supplementary reduce the incidence of adenocarcinoma in a mouse model of colorectal cancer: microarray gene expression profile,” Journal of Experimental & Clinical Cancer Research, vol. 30, no. 1, 2011.
View at: Publisher Site | Google Scholar
G. Sadi, M. C. Baloglu, and M. B. Pektas, “Differential gene expression in liver tissues of streptozotocin-induced diabetic rats in response to resveratrol treatment,” PLoS One, vol. 10, no. 4, article e0124968, 2015.
View at: Publisher Site | Google Scholar
M. Cormier, F. Ghouili, P. Roumaud, L. J. Martin, and M. Touaibia, “Influence of flavonols and quercetin derivative compounds on MA-10 Leydig cells steroidogenic genes expressions,” Toxicology In Vitro, vol. 44, pp. 111–121, 2017.
View at: Publisher Site | Google Scholar
G. T. Wu, X. F. He, T. H. Niu, X. F. Wang, Y. P. Wu, and Y. Ren, “Chemical constituents, pharmacology and application of jujube,” Zhongguo Guocai, vol. 36, pp. 25–28, 2016.
View at: Google Scholar
M. Y. Xia, X. Zhang, Y. Wang, Y. L. Ma, and C. Zhang, “Research progress on processing methods, chemical constituents, pharmacological activities and clinical application of white fruit,” Zhongguo Yaofang, vol. 31, pp. 123–128, 2020.
View at: Google Scholar
D. Y. Zhong, L. Li, C. T. Jiang, and Y. H. Deng, “Study on the molecular mechanism of salvia miltiorrhiza in treating diabetic neuropathy and its essence of channelization,” Zhongyi Xuebao, vol. 36, pp. 608–613, 2021.
View at: Google Scholar
D. Y. Zhong, L. Li, C. T. Jiang, R. M. Ma, and Y. Deng, “Molecular mechanism of Angelica sinensis in treating diabetic neuropathy and its essence,” Zhonghua Zhongyiyao Xuekan, vol. 39, pp. 293–2261, 2021.
View at: Google Scholar
N. D. Lv, Z. G. Jiao, and S. Y. Liu, “Comparison and understanding of liver anatomy between Chinese and western medicine,” Neimengu Zhongyiyao, vol. S1, pp. 86-87, 2001.
View at: Google Scholar
Q. Zhang, R. Xue, R. J. Xu et al., “Processing theory of “leading vinegar-processing Chinese medicine into liver”,” Zhongguo Zhongyao Zazhi, vol. 47, no. 18, pp. 4854–4862, 2022.
View at: Publisher Site | Google Scholar

Copyright

Copyright © 2023 Zhong Dayuan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

PDF Download Citation

Download other formats

Order printed copies

Views

396

Downloads

501

Citations