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Metabolomics (3): The specificity of host-invasion interaction/新陈代谢组学之三

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发表于 2021-1-4 15:33:35 | 显示全部楼层 |阅读模式
This is the article 8 in the theme 'Environmental Physiology/环境生理学' of Journal of Environment and Health Science.

2021. Copyrights Certificate Registered by Brock Chain Technology: Certificate NO. (TTAS_S.0.2_59219420417750767569193429606804864193707323) ; Certificate Verification Web: https://ttas.ntsc.ac.cn

2016. Copyrights Register Information: The majority of these materials are registered as book '著作权人:刘焕;作品:《研究生文凭进展(第三版)》' 2016, which can be cataloged in National Copyright Database: http://qgzpdj.ccopyright.com.cn/

2016. 版权注册信息:本文大多数内容已经以图书形式登记注册在全国版权数据库,登记入库信息:著作权人:刘焕;作品:《研究生文凭进展(第三版)》 2016;可在全国版权登记数据库检索 http://qgzpdj.ccopyright.com.cn/

The formally published serials is the printing <Journal of Environment and Health Science (ISSN 2314-1628)>, and the serials NO. is the month/year when the materials accessible on this website, authorized by publisher;
正式发表的期刊是印刷版《环境与卫生科学杂志(ISSN 2314-1628)》,期刊期号为文章内容在本网站上网年/月,出版人许可自行正式发表。

Originality Certificate: The originality of text in English is 98% tested by Turnitin (International). The Turnitin Originality Report is attached in PDF summary.

All Copyrights Reserved.



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 楼主| 发表于 2021-2-6 17:34:49 | 显示全部楼层
Article 8. Metabolomics and Application on The Specificity of Host-Invasion Interaction/新陈代谢组学在宿主细胞与生物入侵关系的专一性机制中的应用研究

Author: Liu Huan, MSc (First Class Honours), The University of Auckland Published after graduation on data 26/08/2015, Revised on 28/01/2021.

There is the original experiment method designed to examine and diagnose the immunology of host cells against microbial pathogens (including virus and bacteria), based on the metabolomics test designed in my previous article. The intended conclusion is drown and relevant discussion is presented correspondingly. In addition to the genetics of host body, the ‘memory’ of host cells, which allows host cells to fastly and accurately identify the bio-signals of specifically invasive pathogens so that the immunological reaction of host cells functions punctually, also plays a significant role in immunology. However, this ‘memory’ of host cells can be inherent, which is passed on from parental generation, or acquired skills which are cultivated through the past ‘battle’ against disease. The inherent ‘memory’ has been discussed in other article of this journal.

The isozyme families, associated with the pathology (or immunology), include the AST, CK, LDH, B-ALP and G6PD,... etc[1]. Specificity of host-invasion interaction examination:

1.There are two different genetic strains of host cells (sample 1 and sample 2) in the same tissue (such as the blood samples abstracted from parallel rat samples) selected and cultivated in this research;
2.Before bacteria invasion simulation, the samples of host cells are cultivated in the same environmental conditions (named as pre-invasion samples). After this, bacteria invasion simulation is conducted in a proportion of host cell samples (However, the other environmental condition for cell cultivation is not changed during bacteria invasion simulation).
3.The bacteria (or virus) invasion targeting the cells of host tissue is simulated in Lab.
4.The host cells with apparent antibiotics specifically against a strain of invasive bacteria is identified and cultivated during bacteria invasion simulation (named as after-invasion samples), and the other host cells without apparent antibiotics are also cultivated during bacteria invasion simulation for comparison; Please note: it is important to ensure the uniform pathogenicity of a bacteria (or virus) strain for the invasion simulation;
5.The systematic metabolomics test (both experiment and data analysis methods are listed by other articles of this journal) is conducted after bacteria invasion process against host cells (in both pre-invasion and after-invasion samples), as well as in invasive bacteria/virus samples (Please note: the bacteria samples collected are cultivated during invasive simulation process); Please note: differed from the other articles of this journal, the metabolomics test is applicable on virus classification in this research, due to the uniform virus cultivated in simulation process, and the cultivation and separation procedure of virus can be found in relevant references;

6.By the comparison between pre-invasion and after-invasion samples, the isozyme families, involved in the synthesis of antibiotics, are identified consequently (named as antibiotic isozymes); through UPGMA (unweighted pair group method with arithmetic averages) analysis, the patterns of antibiotic isozyme zymograms in host cell groups with apparent antibiotics specifically correspond to the zymograms of a specific invasive bacteria strain, regardless of genetic difference between sample 1  and sample 2, which means that the host cells in both sample 1 and sample 2 with apparent antibiotics are classified into the same group by UPGMA analysis, regardless of genetic difference. Consequently, the effectiveness of gene expression patterns in host cells is mainly determined by the specific phenotype of a bacteria or virus strain.

7.The patterns of zymograms in host cells without apparent antibiotics vary. Similarly, for the other strains of invasive bacteria (or the other phenotypes of the bacteria or virus within the same genetic strain), the patterns of antibiotic isozyme zymograms react differently and specifically in host cells with apparent antibiotics. This study does not only help to diagnose the pathology and invasive bacteria strain, but also provides the indicators of ‘training’ host cells in future, establishing the ‘memory’ of triggering the antibiotics, to improve the immunology by biophysical ‘learning’ in site. Then ‘exchange transfusion’ is applicable on the medical treatment (For example, if the cancerous blood cells of a rat is caused by virus, then blood cells from other healthy rats with better immunology can be trained by biophysics technology, discussed in next chapter, for exchange transfusion). So far there is a number of case reports with regards to exchange transfusion such as Yu (2011)[2], and the recommended volume of bloods per exchange is no more than 10% of total bloods. However, the volume of 'trained' bloods per exchange should be less than this recommended value, due to the allo-antibiotcs of trained cells.

8.This metabolomic test on invasive pathogens with correlation to the pathological indicators would more specifically and reasonably diagnose the invasive pathogen strains, compared with DNA markers. The metabolomics test would more reasonably identify if the impacts of pathogen gene mutation significantly increases the risks of epidemic disease, because not all the gene mutation patterns of pathogen significantly alter its gene expression as physiological pathways directly related to the invasive biology, so that it may not increase the risks of epidemic disease, which avoids the public panic.      

Discussion:
Compared with the bio-signal simulation in other article of this journal, the bio-signal of biotic factor identified by cells is specific, whereas the bio-signals of abiotic factors show the patterns of ‘environmental gradient’(the gene expression patterns vary gradually in response to the gradual change of environmental factors along the environmental gradient).

Please note: The characteristics of host cells with apparent antibiotics can be  identified as: relatively active cell division rate; And constant and healthy ratio between erythrocyte and leukocyte cells. Usually the ratio between erythrocyte and leukocyte tends to be identical in the long term when cells are cultivated in the same environmental conditions of Lab, regardless of genetic variation. However, when enzyme activity is ignored and only variation in enzyme species is considered in this research, the difference in the ratio of erythrocyte to leukocyte between two different genetic strains can be ignored in UPGMA analysis too.

Conclusion of Metabolomics and Application on the Vaccine Production/新陈代谢组学结论与在疫苗生产中的应用

Recently, I have read the biochemical characteristics of some News reports about new drugs, and presented the following academic viewpoints: in the previous academic paper of metabolomics, it is proposed that the selection of isozymes as the indicative biochemical molecules for pathological analysis mostly relates its phenotype characteristics, which is stable and less environmental sensitive in the long-term. If medicines research chooses mRNA or tRNA as biochemical indicator, it is not expected to show a long-term stable and positive correlation to the eventual phenotype of antibody against virus, and is susceptible to environmental conditions (such as diet and physiological work-rest timetable may significantly influence the results of bio-tests on mRNA) , and this is especially for the analysis of immunology generated by vaccine inoculation. The vaccine produced on the basis of the later indicator is similar to biochemical medicines only, which plays the role in remedy in the short term.

最近看了一些关于新药的新闻报道的特征描述,提出以下学术观点:本文在之前学术论文《新陈代谢组学》中一直提出使用同工酶最为指示性生化指标对病理进行分析才保证其长期稳定、可靠的表现型特征,不容易受制于环境条件的影响。如果是选用mRNA或是tRNA作为指示性生化分子,在此基础上对最终表现出来的抗体是否呈现阳性进行相关性分析,不会有长期稳定的正相关特性,而且容易受制于环境条件的影响(比如测试前期的饮食、生理作息时间等也可能会对mRNA测试结果产生显著影响)。这对于疫苗抗体的有效性分析尤其重要。因此这类疫苗抗体仅仅类似于西药,产生短期治疗效果。






This is the revised materials in book “Proceedings for Degree of Postgraduate Diploma in Environmental Science (3rd Edition).” Published in 2016. The ‘chapter’ content mentioned in this article is in previous book. Revised on 05/01/2021.

References:
[1]. 周延清, 张改娜与杨清香, 生物遗传标记与应用, 2008, 化学工业出版社.
[2]. 余 敏 新生儿换血疗法的治疗及护理 2011 年第 9 卷第 9 期 《中华现代临床医学杂志》
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 楼主| 发表于 2021-1-4 15:33:54 | 显示全部楼层
Article 8. The specificity of host-invasion interaction and its application on immunology of cell/宿主细胞与生物入侵关系的专一性机制及在细胞免疫学的应用研究
Author: Liu Huan, MSc (First Class Honours), The University of Auckland Published after graduation on data 26/08/2015

There is some personal thoughts about the immunology of host cells against microbial pathogens (including virus and bacteria). In addition to the genetics of host body, the ‘memory’ of host cells, which allows host cells to fastly and accurately identify the bio-signals of specifically invasive pathogens so that the immunological reaction of host cells functions punctually, also plays a significant role in immunology. However, this ‘memory’ of host cells can be inherent, which is passed on from parental generation, or acquired skills which are cultivated through the past ‘battle’ against disease. The inherent ‘memory’ has been discussed in other article of this journal.

The isozyme families, associated with the pathology (or immunology), include the AST, CK, LDH, B-ALP and G6PD,... etc[5]. Specificity of host-invasion interaction examination:
1.There are two different genetic strains of host cells (sample 1 and sample 2) in the same tissue (such as the blood samples abstracted from parallel rat samples) selected and cultivated in this research;
2.Before bacteria invasion simulation, the samples of host cells are cultivated in the same environmental conditions (named as pre-invasion samples). After this, bacteria invasion simulation is conducted in a proportion of host cell samples (However, the other environmental condition for cell cultivation is not changed during bacteria invasion simulation).
3.The bacteria (or virus) invasion targeting the cells of host tissue is simulated in Lab.
4.The host cells with apparent antibiotics specifically against a strain of invasive bacteria is identified and cultivated during bacteria invasion simulation (named as after-invasion samples), and the other host cells without apparent antibiotics are also cultivated during bacteria invasion simulation for comparison; Please note: it is important to ensure the uniform pathogenicity of a bacteria (or virus) strain for the invasion simulation;
5.The systematic metabolomics test (both experiment and data analysis methods are listed by the appendix 2 of Chapter 1 in this book) is conducted after bacteria invasion process in host cells (in both pre-invasion and after-invasion samples), as well as in invasive bacteria samples (Please note: the bacteria samples collected are cultivated during invasive simulation process); Please note: differed from the appendix 1 of chapter 1 in this book, the metabolomics test is applicable on virus classification in this research, due to the uniform virus cultivated in simulation process, and the cultivation and separation procedure of virus can be found in relevant references;

6.By the comparison between pre-invasion and after-invasion samples, the isozyme families, involved in the synthesis of antibiotics, are identified consequently (named as antibiotic isozymes); through UPGMA (unweighted pair group method with arithmetic averages) analysis, the patterns of antibiotic isozyme zymograms in host cell groups with apparent antibiotics specifically correspond to the zymograms of a specific invasive bacteria strain, regardless of genetic difference between sample 1  and sample 2, which means that the host cells in both sample 1 and sample 2 with apparent antibiotics are classified into the same group by UPGMA analysis, regardless of genetic difference. Consequently, the effectiveness of gene expression patterns in host cells is mainly determined by the specific phenotype of a bacteria or virus strain.
7.The patterns of zymograms in host cells without apparent antibiotics vary. Similarly, for the other strains of invasive bacteria (or the other phenotypes of the bacteria or virus within the same genetic strain), the patterns of antibiotic isozyme zymograms react differently and specifically in host cells with apparent antibiotics. This study does not only help to diagnose the pathology and invasive bacteria strain, but also provides the indicators of ‘training’ host cells in future, establishing the ‘memory’ of triggering the antibiotics, to improve the immunology by biophysical ‘learning’ in site. Then ‘exchange transfusion’ is applicable on the medical treatment (For example, if the cancerous blood cells of a rat is caused by virus, then blood cells from other healthy rats with better immunology can be trained by biophysics technology, discussed in next chapter, for exchange transfusion). So far there is a number of case reports with regards to exchange transfusion such as Yu (2011)[6], and the recommended volume of bloods per exchange is no more than 10% of total bloods. However, the volume of 'trained' bloods per exchange should be less than this recommended value, due to the allo-antibiotcs of trained cells.

Discussion:
Compared with the bio-signal simulation in other article of this journal, the bio-signal of biotic factor identified by cells is specific, whereas the bio-signals of abiotic factors show the patterns of ‘environmental gradient’(the gene expression patterns react gradually with the gradual change of environmental factors along the environmental gradient).

Please note: The characteristics of host cells with apparent antibiotics can be  identified as: relatively active cell division rate; And constant and healthy ratio between erythrocyte and leukocyte cells. Usually the ratio between erythrocyte and leukocyte tends to be identical in the long term when cells are cultivated in the same environmental conditions of Lab, regardless of genetic variation. However, when enzyme activity is ignored and only variation in enzyme species is considered in this research, the difference in the ratio of erythrocyte to leukocyte between two different genetic strains can be ignored in UPGMA analysis too.

To be continued ...

This is the revised materials in book “Proceedings for Degree of Postgraduate Diploma in Environmental Science (3rd Edition).” published in 2016. Revised on 04/01/2021.  

References:
[1]. 唐银栋(1987)。重金属的结构与其环境污染和毒性的关系。《内蒙古医学院学报》。
第 9 卷,第 1 期。
[2]许国章,樊军明(1995)。重金属中毒性肾脏病。《新医学》。
[3]. 陈文慧, 袁嘉丽, 韩妮萍, 姚政, 张英凯, 赵鹏 (2005)。 春季时令病邪与空气微生物及呼吸道微生态相关性初步研究。《云南中医学院学报》。第 28 卷第 4 期。
[4].Liu Huan (2015). Review of Biological Control: The Population Biology of Microbial Ecosystem/种群生物学原理在微生物生态系统和生物控制技术中的应用研究(英文). Journal of Environmental & Health Science.
[5]. 周延清, 张改娜与杨清香, 生物遗传标记与应用, 2008, 化学工业出版社.
[6]. 余 敏 新生儿换血疗法的治疗及护理 2011 年第 9 卷第 9 期 《中华现代临床医学杂志》
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 楼主| 发表于 2021-1-5 09:38:43 | 显示全部楼层
Article 8. Metabolomics and Application on The Specificity of Host-Invasion Interaction/新陈代谢组学在宿主细胞与生物入侵关系的专一性机制中的应用研究
Author: Liu Huan, MSc (First Class Honours), The University of Auckland Published after graduation on data 26/08/2015

There is some personal thoughts about the immunology of host cells against microbial pathogens (including virus and bacteria). In addition to the genetics of host body, the ‘memory’ of host cells, which allows host cells to fastly and accurately identify the bio-signals of specifically invasive pathogens so that the immunological reaction of host cells functions punctually, also plays a significant role in immunology. However, this ‘memory’ of host cells can be inherent, which is passed on from parental generation, or acquired skills which are cultivated through the past ‘battle’ against disease. The inherent ‘memory’ has been discussed in other article of this journal.

The isozyme families, associated with the pathology (or immunology), include the AST, CK, LDH, B-ALP and G6PD,... etc[5]. Specificity of host-invasion interaction examination:
1.There are two different genetic strains of host cells (sample 1 and sample 2) in the same tissue (such as the blood samples abstracted from parallel rat samples) selected and cultivated in this research;
2.Before bacteria invasion simulation, the samples of host cells are cultivated in the same environmental conditions (named as pre-invasion samples). After this, bacteria invasion simulation is conducted in a proportion of host cell samples (However, the other environmental condition for cell cultivation is not changed during bacteria invasion simulation).
3.The bacteria (or virus) invasion targeting the cells of host tissue is simulated in Lab.
4.The host cells with apparent antibiotics specifically against a strain of invasive bacteria is identified and cultivated during bacteria invasion simulation (named as after-invasion samples), and the other host cells without apparent antibiotics are also cultivated during bacteria invasion simulation for comparison; Please note: it is important to ensure the uniform pathogenicity of a bacteria (or virus) strain for the invasion simulation;
5.The systematic metabolomics test (both experiment and data analysis methods are listed by other articles of this journal) is conducted after bacteria invasion process in host cells (in both pre-invasion and after-invasion samples), as well as in invasive bacteria samples (Please note: the bacteria samples collected are cultivated during invasive simulation process); Please note: differed from the other articles of this journal, the metabolomics test is applicable on virus classification in this research, due to the uniform virus cultivated in simulation process, and the cultivation and separation procedure of virus can be found in relevant references;

6.By the comparison between pre-invasion and after-invasion samples, the isozyme families, involved in the synthesis of antibiotics, are identified consequently (named as antibiotic isozymes); through UPGMA (unweighted pair group method with arithmetic averages) analysis, the patterns of antibiotic isozyme zymograms in host cell groups with apparent antibiotics specifically correspond to the zymograms of a specific invasive bacteria strain, regardless of genetic difference between sample 1  and sample 2, which means that the host cells in both sample 1 and sample 2 with apparent antibiotics are classified into the same group by UPGMA analysis, regardless of genetic difference. Consequently, the effectiveness of gene expression patterns in host cells is mainly determined by the specific phenotype of a bacteria or virus strain.
7.The patterns of zymograms in host cells without apparent antibiotics vary. Similarly, for the other strains of invasive bacteria (or the other phenotypes of the bacteria or virus within the same genetic strain), the patterns of antibiotic isozyme zymograms react differently and specifically in host cells with apparent antibiotics. This study does not only help to diagnose the pathology and invasive bacteria strain, but also provides the indicators of ‘training’ host cells in future, establishing the ‘memory’ of triggering the antibiotics, to improve the immunology by biophysical ‘learning’ in site. Then ‘exchange transfusion’ is applicable on the medical treatment (For example, if the cancerous blood cells of a rat is caused by virus, then blood cells from other healthy rats with better immunology can be trained by biophysics technology, discussed in next chapter, for exchange transfusion). So far there is a number of case reports with regards to exchange transfusion such as Yu (2011)[6], and the recommended volume of bloods per exchange is no more than 10% of total bloods. However, the volume of 'trained' bloods per exchange should be less than this recommended value, due to the allo-antibiotcs of trained cells.

Discussion:
Compared with the bio-signal simulation in other article of this journal, the bio-signal of biotic factor identified by cells is specific, whereas the bio-signals of abiotic factors show the patterns of ‘environmental gradient’(the gene expression patterns react gradually with the gradual change of environmental factors along the environmental gradient).

Please note: The characteristics of host cells with apparent antibiotics can be  identified as: relatively active cell division rate; And constant and healthy ratio between erythrocyte and leukocyte cells. Usually the ratio between erythrocyte and leukocyte tends to be identical in the long term when cells are cultivated in the same environmental conditions of Lab, regardless of genetic variation. However, when enzyme activity is ignored and only variation in enzyme species is considered in this research, the difference in the ratio of erythrocyte to leukocyte between two different genetic strains can be ignored in UPGMA analysis too.

Conclusion of Metabolomics and Application on the Vaccine Production/新陈代谢组学结论与在疫苗生产中的应用

Recently, I have read the biochemical characteristics of some News reports about new drugs, and presented the following academic viewpoints: in the previous academic paper of metabolomics, it is proposed that the selection of isozymes as the indicative biochemical molecules for pathological analysis mostly relates its phenotype characteristics, which is stable and less environmental sensitive in the long-term. If medicines research chooses mRNA or tRNA as biochemical indicator, it is not expected to show a long-term stable and positive correlation to the eventual phenotype of antibody against virus, and is suscitible to environmental conditions (such as diet and physiological work-rest timetable may significantly influence the results of bio-tests on mRNA) , and this is especially for the analysis of immunology generated by vaccine inoculation. The vaccine produced on the basis of the later indicator is similar to biochemical medicines only, which plays the role in remedy in the short term.

最近看了一些关于新药的新闻报道的特征描述,提出以下学术观点:本文在之前学术论文《新陈代谢组学》中一直提出使用同工酶最为指示性生化指标对病理进行分析才保证其长期稳定、可靠的表现型特征,不容易受制于环境条件的影响。如果是选用mRNA或是tRNA作为指示性生化分子,在此基础上对最终表现出来的抗体是否呈现阳性进行相关性分析,不会有长期稳定的正相关特性,而且容易受制于环境条件的影响(比如测试前期的饮食、生理作息时间等也可能会对mRNA测试结果产生显著影响)。这对于疫苗抗体的有效性分析尤其重要。因此这类疫苗抗体仅仅类似于西药,产生短期治疗效果。













This is the revised materials in book “Proceedings for Degree of Postgraduate Diploma in Environmental Science (3rd Edition).” published in 2016. Revised on 04/01/2021.  

References:
[1]. 唐银栋(1987)。重金属的结构与其环境污染和毒性的关系。《内蒙古医学院学报》。
第 9 卷,第 1 期。
[2]许国章,樊军明(1995)。重金属中毒性肾脏病。《新医学》。
[3]. 陈文慧, 袁嘉丽, 韩妮萍, 姚政, 张英凯, 赵鹏 (2005)。 春季时令病邪与空气微生物及呼吸道微生态相关性初步研究。《云南中医学院学报》。第 28 卷第 4 期。
[4].Liu Huan (2015). Review of Biological Control: The Population Biology of Microbial Ecosystem/种群生物学原理在微生物生态系统和生物控制技术中的应用研究(英文). Journal of Environmental & Health Science.
[5]. 周延清, 张改娜与杨清香, 生物遗传标记与应用, 2008, 化学工业出版社.
[6]. 余 敏 新生儿换血疗法的治疗及护理 2011 年第 9 卷第 9 期 《中华现代临床医学杂志》
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 楼主| 发表于 2021-1-6 10:18:15 | 显示全部楼层
Article 8. Metabolomics and Application on The Specificity of Host-Invasion Interaction/新陈代谢组学在宿主细胞与生物入侵关系的专一性机制中的应用研究
Author: Liu Huan, MSc (First Class Honours), The University of Auckland Published after graduation on data 26/08/2015

There is some personal thoughts about the immunology of host cells against microbial pathogens (including virus and bacteria). In addition to the genetics of host body, the ‘memory’ of host cells, which allows host cells to fastly and accurately identify the bio-signals of specifically invasive pathogens so that the immunological reaction of host cells functions punctually, also plays a significant role in immunology. However, this ‘memory’ of host cells can be inherent, which is passed on from parental generation, or acquired skills which are cultivated through the past ‘battle’ against disease. The inherent ‘memory’ has been discussed in other article of this journal.

The isozyme families, associated with the pathology (or immunology), include the AST, CK, LDH, B-ALP and G6PD,... etc[5]. Specificity of host-invasion interaction examination:
1.There are two different genetic strains of host cells (sample 1 and sample 2) in the same tissue (such as the blood samples abstracted from parallel rat samples) selected and cultivated in this research;
2.Before bacteria invasion simulation, the samples of host cells are cultivated in the same environmental conditions (named as pre-invasion samples). After this, bacteria invasion simulation is conducted in a proportion of host cell samples (However, the other environmental condition for cell cultivation is not changed during bacteria invasion simulation).
3.The bacteria (or virus) invasion targeting the cells of host tissue is simulated in Lab.
4.The host cells with apparent antibiotics specifically against a strain of invasive bacteria is identified and cultivated during bacteria invasion simulation (named as after-invasion samples), and the other host cells without apparent antibiotics are also cultivated during bacteria invasion simulation for comparison; Please note: it is important to ensure the uniform pathogenicity of a bacteria (or virus) strain for the invasion simulation;
5.The systematic metabolomics test (both experiment and data analysis methods are listed by other articles of this journal) is conducted after bacteria invasion process in host cells (in both pre-invasion and after-invasion samples), as well as in invasive bacteria samples (Please note: the bacteria samples collected are cultivated during invasive simulation process); Please note: differed from the other articles of this journal, the metabolomics test is applicable on virus classification in this research, due to the uniform virus cultivated in simulation process, and the cultivation and separation procedure of virus can be found in relevant references;

6.By the comparison between pre-invasion and after-invasion samples, the isozyme families, involved in the synthesis of antibiotics, are identified consequently (named as antibiotic isozymes); through UPGMA (unweighted pair group method with arithmetic averages) analysis, the patterns of antibiotic isozyme zymograms in host cell groups with apparent antibiotics specifically correspond to the zymograms of a specific invasive bacteria strain, regardless of genetic difference between sample 1  and sample 2, which means that the host cells in both sample 1 and sample 2 with apparent antibiotics are classified into the same group by UPGMA analysis, regardless of genetic difference. Consequently, the effectiveness of gene expression patterns in host cells is mainly determined by the specific phenotype of a bacteria or virus strain.
7.The patterns of zymograms in host cells without apparent antibiotics vary. Similarly, for the other strains of invasive bacteria (or the other phenotypes of the bacteria or virus within the same genetic strain), the patterns of antibiotic isozyme zymograms react differently and specifically in host cells with apparent antibiotics. This study does not only help to diagnose the pathology and invasive bacteria strain, but also provides the indicators of ‘training’ host cells in future, establishing the ‘memory’ of triggering the antibiotics, to improve the immunology by biophysical ‘learning’ in site. Then ‘exchange transfusion’ is applicable on the medical treatment (For example, if the cancerous blood cells of a rat is caused by virus, then blood cells from other healthy rats with better immunology can be trained by biophysics technology, discussed in next chapter, for exchange transfusion). So far there is a number of case reports with regards to exchange transfusion such as Yu (2011)[6], and the recommended volume of bloods per exchange is no more than 10% of total bloods. However, the volume of 'trained' bloods per exchange should be less than this recommended value, due to the allo-antibiotcs of trained cells.

Discussion:
Compared with the bio-signal simulation in other article of this journal, the bio-signal of biotic factor identified by cells is specific, whereas the bio-signals of abiotic factors show the patterns of ‘environmental gradient’(the gene expression patterns react gradually with the gradual change of environmental factors along the environmental gradient).

Please note: The characteristics of host cells with apparent antibiotics can be  identified as: relatively active cell division rate; And constant and healthy ratio between erythrocyte and leukocyte cells. Usually the ratio between erythrocyte and leukocyte tends to be identical in the long term when cells are cultivated in the same environmental conditions of Lab, regardless of genetic variation. However, when enzyme activity is ignored and only variation in enzyme species is considered in this research, the difference in the ratio of erythrocyte to leukocyte between two different genetic strains can be ignored in UPGMA analysis too.

  
  






Conclusion of Metabolomics and Application on the Vaccine Production/新陈代谢组学结论与在疫苗生产中的应用

Recently, I have read the biochemical characteristics of some News reports about new drugs, and presented the following academic viewpoints: in the previous academic paper of metabolomics, it is proposed that the selection of isozymes as the indicative biochemical molecules for pathological analysis mostly relates its phenotype characteristics, which is stable and less environmental sensitive in the long-term. If medicines research chooses mRNA or tRNA as biochemical indicator, it is not expected to show a long-term stable and positive correlation to the eventual phenotype of antibody against virus, and is suscitible to environmental conditions (such as diet and physiological work-rest timetable may significantly influence the results of bio-tests on mRNA) , and this is especially for the analysis of immunology generated by vaccine inoculation. The vaccine produced on the basis of the later indicator is similar to biochemical medicines only, which plays the role in remedy in the short term.

最近看了一些关于新药的新闻报道的特征描述,提出以下学术观点:本文在之前学术论文《新陈代谢组学》中一直提出使用同工酶最为指示性生化指标对病理进行分析才保证其长期稳定、可靠的表现型特征,不容易受制于环境条件的影响。如果是选用mRNA或是tRNA作为指示性生化分子,在此基础上对最终表现出来的抗体是否呈现阳性进行相关性分析,不会有长期稳定的正相关特性,而且容易受制于环境条件的影响(比如测试前期的饮食、生理作息时间等也可能会对mRNA测试结果产生显著影响)。这对于疫苗抗体的有效性分析尤其重要。因此这类疫苗抗体仅仅类似于西药,产生短期治疗效果。













This is the revised materials in book “Proceedings for Degree of Postgraduate Diploma in Environmental Science (3rd Edition).” Published in 2016. The ‘chapter’ content mentioned in this article is in previous book. Revised on 05/01/2021.

References:
[1]. 唐银栋(1987)。重金属的结构与其环境污染和毒性的关系。《内蒙古医学院学报》。
第 9 卷,第 1 期。
[2]许国章,樊军明(1995)。重金属中毒性肾脏病。《新医学》。
[3]. 陈文慧, 袁嘉丽, 韩妮萍, 姚政, 张英凯, 赵鹏 (2005)。 春季时令病邪与空气微生物及呼吸道微生态相关性初步研究。《云南中医学院学报》。第 28 卷第 4 期。
[4].Liu Huan (2015). Review of Biological Control: The Population Biology of Microbial Ecosystem/种群生物学原理在微生物生态系统和生物控制技术中的应用研究(英文). Journal of Environmental & Health Science.
[5]. 周延清, 张改娜与杨清香, 生物遗传标记与应用, 2008, 化学工业出版社.
[6]. 余 敏 新生儿换血疗法的治疗及护理 2011 年第 9 卷第 9 期 《中华现代临床医学杂志》
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 楼主| 发表于 2021-1-28 14:46:14 | 显示全部楼层
Article 8. Metabolomics and Application on The Specificity of Host-Invasion Interaction/新陈代谢组学在宿主细胞与生物入侵关系的专一性机制中的应用研究

Author: Liu Huan, MSc (First Class Honours), The University of Auckland Published after graduation on data 26/08/2015, Revised on 28/01/2021.

There is the original experiment method designed to examine and diagnose the immunology of host cells against microbial pathogens (including virus and bacteria), based on the metabolomics test designed in my previous article. The intended conclusion is drown and relevant discussion is presented correspondingly. In addition to the genetics of host body, the ‘memory’ of host cells, which allows host cells to fastly and accurately identify the bio-signals of specifically invasive pathogens so that the immunological reaction of host cells functions punctually, also plays a significant role in immunology. However, this ‘memory’ of host cells can be inherent, which is passed on from parental generation, or acquired skills which are cultivated through the past ‘battle’ against disease. The inherent ‘memory’ has been discussed in other article of this journal.

The isozyme families, associated with the pathology (or immunology), include the AST, CK, LDH, B-ALP and G6PD,... etc[1]. Specificity of host-invasion interaction examination:

1.There are two different genetic strains of host cells (sample 1 and sample 2) in the same tissue (such as the blood samples abstracted from parallel rat samples) selected and cultivated in this research;
2.Before bacteria invasion simulation, the samples of host cells are cultivated in the same environmental conditions (named as pre-invasion samples). After this, bacteria invasion simulation is conducted in a proportion of host cell samples (However, the other environmental condition for cell cultivation is not changed during bacteria invasion simulation).
3.The bacteria (or virus) invasion targeting the cells of host tissue is simulated in Lab.
4.The host cells with apparent antibiotics specifically against a strain of invasive bacteria is identified and cultivated during bacteria invasion simulation (named as after-invasion samples), and the other host cells without apparent antibiotics are also cultivated during bacteria invasion simulation for comparison; Please note: it is important to ensure the uniform pathogenicity of a bacteria (or virus) strain for the invasion simulation;
5.The systematic metabolomics test (both experiment and data analysis methods are listed by other articles of this journal) is conducted after bacteria invasion process against host cells (in both pre-invasion and after-invasion samples), as well as in invasive bacteria samples (Please note: the bacteria samples collected are cultivated during invasive simulation process); Please note: differed from the other articles of this journal, the metabolomics test is applicable on virus classification in this research, due to the uniform virus cultivated in simulation process, and the cultivation and separation procedure of virus can be found in relevant references;

6.By the comparison between pre-invasion and after-invasion samples, the isozyme families, involved in the synthesis of antibiotics, are identified consequently (named as antibiotic isozymes); through UPGMA (unweighted pair group method with arithmetic averages) analysis, the patterns of antibiotic isozyme zymograms in host cell groups with apparent antibiotics specifically correspond to the zymograms of a specific invasive bacteria strain, regardless of genetic difference between sample 1  and sample 2, which means that the host cells in both sample 1 and sample 2 with apparent antibiotics are classified into the same group by UPGMA analysis, regardless of genetic difference. Consequently, the effectiveness of gene expression patterns in host cells is mainly determined by the specific phenotype of a bacteria or virus strain.

7.The patterns of zymograms in host cells without apparent antibiotics vary. Similarly, for the other strains of invasive bacteria (or the other phenotypes of the bacteria or virus within the same genetic strain), the patterns of antibiotic isozyme zymograms react differently and specifically in host cells with apparent antibiotics. This study does not only help to diagnose the pathology and invasive bacteria strain, but also provides the indicators of ‘training’ host cells in future, establishing the ‘memory’ of triggering the antibiotics, to improve the immunology by biophysical ‘learning’ in site. Then ‘exchange transfusion’ is applicable on the medical treatment (For example, if the cancerous blood cells of a rat is caused by virus, then blood cells from other healthy rats with better immunology can be trained by biophysics technology, discussed in next chapter, for exchange transfusion). So far there is a number of case reports with regards to exchange transfusion such as Yu (2011)[2], and the recommended volume of bloods per exchange is no more than 10% of total bloods. However, the volume of 'trained' bloods per exchange should be less than this recommended value, due to the allo-antibiotcs of trained cells.

Discussion:
Compared with the bio-signal simulation in other article of this journal, the bio-signal of biotic factor identified by cells is specific, whereas the bio-signals of abiotic factors show the patterns of ‘environmental gradient’(the gene expression patterns vary gradually in response to the gradual change of environmental factors along the environmental gradient).

Please note: The characteristics of host cells with apparent antibiotics can be  identified as: relatively active cell division rate; And constant and healthy ratio between erythrocyte and leukocyte cells. Usually the ratio between erythrocyte and leukocyte tends to be identical in the long term when cells are cultivated in the same environmental conditions of Lab, regardless of genetic variation. However, when enzyme activity is ignored and only variation in enzyme species is considered in this research, the difference in the ratio of erythrocyte to leukocyte between two different genetic strains can be ignored in UPGMA analysis too.

Conclusion of Metabolomics and Application on the Vaccine Production/新陈代谢组学结论与在疫苗生产中的应用

Recently, I have read the biochemical characteristics of some News reports about new drugs, and presented the following academic viewpoints: in the previous academic paper of metabolomics, it is proposed that the selection of isozymes as the indicative biochemical molecules for pathological analysis mostly relates its phenotype characteristics, which is stable and less environmental sensitive in the long-term. If medicines research chooses mRNA or tRNA as biochemical indicator, it is not expected to show a long-term stable and positive correlation to the eventual phenotype of antibody against virus, and is suscitible to environmental conditions (such as diet and physiological work-rest timetable may significantly influence the results of bio-tests on mRNA) , and this is especially for the analysis of immunology generated by vaccine inoculation. The vaccine produced on the basis of the later indicator is similar to biochemical medicines only, which plays the role in remedy in the short term.

最近看了一些关于新药的新闻报道的特征描述,提出以下学术观点:本文在之前学术论文《新陈代谢组学》中一直提出使用同工酶最为指示性生化指标对病理进行分析才保证其长期稳定、可靠的表现型特征,不容易受制于环境条件的影响。如果是选用mRNA或是tRNA作为指示性生化分子,在此基础上对最终表现出来的抗体是否呈现阳性进行相关性分析,不会有长期稳定的正相关特性,而且容易受制于环境条件的影响(比如测试前期的饮食、生理作息时间等也可能会对mRNA测试结果产生显著影响)。这对于疫苗抗体的有效性分析尤其重要。因此这类疫苗抗体仅仅类似于西药,产生短期治疗效果。






This is the revised materials in book “Proceedings for Degree of Postgraduate Diploma in Environmental Science (3rd Edition).” Published in 2016. The ‘chapter’ content mentioned in this article is in previous book. Revised on 05/01/2021.

References:
[1]. 周延清, 张改娜与杨清香, 生物遗传标记与应用, 2008, 化学工业出版社.
[2]. 余 敏 新生儿换血疗法的治疗及护理 2011 年第 9 卷第 9 期 《中华现代临床医学杂志》
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