Opinion

Different Disciplines in the Field of Suicide Study

Shan Cao¹, Da-Yong Lu²*, Ting-Ren Lu² and Nagendra Sastry Yarla³

¹Department of Art & Design, Kyoto University, Japan

²Department of Art & Design, Shanghai University, PR China

³Department of Art & Design, GITAM University, India

Submission: May 24, 2017; Published: June 13, 2017

*Corresponding author: Da-Yong Lu, Department of Art & Design, Shanghai University, Shanghai PR China, Email: ludayong@shu.edu.cn

How to cite this article: Shan C, Da-Yong L, Ting-Ren L, Nagendra S Y .Different Disciplines in the Field of Suicide Study. Nov Appro Drug Des Dev. 2017; 1(4): 555568. DOI: 10.19080/NAPDD.2017.01.555568

Abstract

Human suicide risks and mortality predictions and preventions may be transformed from symptom-based prediction systems into pathogenic profiling-supportive diagnostic systems. In addition, specific, highly active and low-toxicity drug may be developed from the wide-spectra parameters of objective clinical data (genomics/bioinformatics/morphology systems). To attain this goal, updating pathways tailored for suicide/mental illness therapeutic improvements may be noticed and established in this article.

Keywords: Human suicide; Human genome; Pathology; Neuropsychology; Mood disorder; Disease diagnostics; Neural pharmacology

Introduction

Human suicide is a long-noticed medical problem [1]. Currently, suicide prediction, prevention and therapeutics have a number of limitations [2]. To overcome these limitations, genetic/molecular pathogenesis studies are indispensable [3-8]. Genetic/molecular pathogenesis study is the priority [9]. In future, human suicide risks and mortality predictions and clinical diagnostics may be transformed from symptom-based score-index into pathogenic profiling supportive diagnostics. In addition, high specific, low-risk drug therapeutics might be established via parameters of genomics/bioinformatics/ morphology systems [10]. This summary offers possible routes for further scientific investigations.

Present Overview

a. In future, following scientific avenues are inevitable; including

b. Genetic, molecular and brain visualizing from pathologic/diagnostic study must be undergone. Without clarifying these patterns of pathogenic information, highly effective target drugs cannot be developed; finding these lines of genetic evidence is the top priority [3-8].

c. In-vitro genetic or molecular models available for basic neural researches and large-scale in-vivo pharmacological study must be established [7].

d. Seek medications from multidisciplinary; a relatively new medication idea might be suitable to solve the therapeutic deficiency from wide-range symptom-based diagnostics into pathogenic dysfunction evaluations by modern technology and finalizing comprehensive therapeutics [8-11].

e. Previous clinical applications for bipolar II disorder patients show some drug therapeutic beneficial outcomes, further scientific and medical work is needed [12-14].

Roadmap for Translational Study

Integration of suicide/mental illness conditions (DSM-V, suicidal ideation risks and self-injures)-disease progression (patients’ depression)-score index into one system (pharmacogenetics) [3-7]. Support new generation of medical hypotheses and objective in clinical diagnostics [8]. Finding effective patents that help implementing drug treatment and risk/response evaluating and therapeutic prediction systems before suicide/mental illness medications [6]. Investigate neural genes, biological molecules and visual dysfunctions by new techniques such as opto-genetics, genetic engineering mice (GEM) and so on [7]. Systems biology, mathematics and computational network, models and systems may play magic role for in-depth understanding of intrinsic relationships between diagnosis and therapies [15,16]. Growing sample size of human genomes (larger individuals and populations) and relationship between different genetics/bioinformatics and visual data by different types of drugs and pathogenesis pathways are underway [1]. Interplay relationship between genetics, molecular, chemical, environmental factors and drug(such as antidepressant) efficacies and neural toxicities (suicide risks) must be established [17].

Genome-wide association study (GWAS) between depressed patients and normal persons, ethnic groups/races, family inheritable diseases, genders or ages of different pathogenic conditions will be rapidly undergone [3]. Undertaking high intelligent animal models, such as primates in pathogenesis and therapeutic studies [3- 6]. Genetic or genomic study of repeated DNA in human genomes and make new discoveries from wider human genome studies [7]. Perfect the joint-specialists participation therapeutics for suicide/mental illness study and clinical applications [11]. Budget control and cost-effective studies of all these scientific investigations, clinical utilities and therapeutic prediction and evaluations [10].

Conclusion

By these kinds of scientific and medical investigations, we can make a big difference in the near future. We hope new breakthroughs will be under way soon.

References

1. Lu DY, Wu HY, Cao S, Lu Y, Yarla NS, et al. (2017) Historical analysis of suicide/mental disorder and current diagnostics in clinics. In: Da- Yong Lu[Eds.], Suicide Risks and Treatments, New Ideas and Future Perspectives (1^st edn), Nova Science Publishers, New York, US, pp. 1-12.
2. Lu DY, Lu TR, Zhu PP, Yarla NS, Wu HY (2017) Current suicide predictions, preventions and treatments. In: Da-Yong Lu[Eds.], Suicide Risks and Treatments, New Ideas and Future Perspectives (3^rd edn), Nova Science Publishers, New York, US pp. 25-38.
3. Lu DY, Lu TR, Zhu PP, Che JY (2015) Genetics and bioinformatics study of antidepressant drugs, recent advancements and future trends. In: Bradly Weaver[Eds.], Suicide Ideation: Predictions, Prevalence and Prevention (3^rd edn), Nava Science Publishing, US, pp. 57-71.
4. Serafini G, Salano P, Amore M (2015) Suicide ideation: a comprehensive overview. In: Bradly Weaver (Eds.), Suicide ideation: Predictions, Prevalence and Prevention (1^st edn), Nava Science Publishing, US, pp. 1-42.
5. Read J, Runciman O, Dillon J (2016) In search of an evidence-based role for psychiatry. FSOA, 2(2): FSOA-2016-0011
6. Lu DY, Lu TR, Che JY, Zhu PP (2014) Genetics and bioinformatics studies of antidepressant drug therapeutic efficacies and toxicities, a current overview. Recent Pat CNS Drug Discov 9(3): 193-199.
7. Lu DY, Lu TR, Zhu PP (2013) Pharmacogenetics in neural toxicities of drugs. Pharmacogenomics 14(10): 1129-1131
8. Lu DY, Zhu PP, Wu HY, Lu Y, Che JY (2017) New modes of suicide/ mental disorder diagnostics and therapeutics. In: Da-Yong Lu (Eds.), Suicide Risks and Treatments, New Ideas and Future Perspectives (5^th edn), Nova Science Publishers, New York, US pp. 51-62.
9. Lu DY, Che JY, Cao S, Chen Y, Wu HY (2017) Suicide risks and pathogenesis studies. In: Da-Yong Lu (Eds.), Suicide Risks and Treatments, New Ideas and Future Perspectives (4^th edn), Nova Science Publishers, New York, US, pp. 39-50.
10. Lu DY (2017) Suicide Risks and Treatments, New Ideas and Future Perspectives. In: Da-Yong Lu (Eds.), Nova Science Publishers, New York, US.
11. Lu DY, Zhu PP, Lu TR, Che JY (2017) The suicidal risks and treatments, seek medications from multi-disciplinary. Cent Nerv Syst Agents Med Chem 16(3): 231-239.
12. McAllister-Williams R, Ferrier IN (2009) Pharmacological management of unipolar affective disorder. Psychiatry 8(4): 113-119.
13. McAllister-Williams R, Ferrier IN (2009) Pharmacological management of bipolar affective disorder. Psychiatry 8(6): 120-124.
14. Lu DY, Lu TR, Ding J, Wu HY, Yarla, et al. (2017) Therapeutic drug developments and clinical utilities. In: Da-Yong Lu [Eds.], Suicide Risks and Treatments, New Ideas and Future Perspectives (6^th edn), Nova Science Publishers, New York, US, pp. 63-72.
15. Lu DY, Lu TR (2015) Mathematics or physics-majored students on the biomedical fields, insiders or outsiders? Metabolomics 5(4): e142.
16. Lu DY, Wu HY, Lu TR, Che JY, Lu Y (2016) Updating biomedical studies by recruiting more mathematics or physics-majored talents. Metabolomics 6(2): e148.
17. Lu DY, Lu TR, Zhu PP, Cao S (2017) Different ranges of outside factors upon human suicidal rates and mortalities. In: Da-Yong Lu (Eds.), Suicide Risks and Treatments, New Ideas and Future Perspectives (2^nd edn), Nova Science Publishers, New York, US, pp. 13-24.