Advanced Techniques in Biology & Medicine

Advanced Techniques in Biology & Medicine
Open Access

ISSN: 2379-1764

Review - (2020)Volume 8, Issue 2

High Quality Treatments for Human Suicidal Events and Mortality

Da-Yong Lu1*, Ying Shen2 and Shan Cao3
 
*Correspondence: Da-Yong Lu, School of Life Sciences, Shanghai University, P.R. China, Email:

Author info »

Abstract

Human suicide study currently is unable to show close associations between pathogenic stages and therapeutic outcomes. A wide variety of factors coming from both insiders (human genetic predispositions, plasma levels of hormones and concentrations of neural transmitters) and outsiders (social, culture, environmental, cognitive, habitual and physical handicaps and so on) may equally determine suicide ideation and human mortality. This Editorial emphasizes these items of environmental and biological factors in suicide prediction, preventions and therapeutics. 

Keywords

Psychiatric disorders; Suicide risk; Environmental factors; Economic conditions; Human cognitive; Neural science; Mood disorder; Suicide mortality

Background

Unlike other diseases, a great variety of environmental and biological factors may affect suicide rates, medical intervention outcomes and human mortality [1-4]. Human suicide events and episodes are commonly affected by outsider insults-including social, economic, culture, legal, cognitive, past trauma, substancedependent, bad living habits, physical handicaps and so on. As a result, building the relationship between insider (genetics/ chemical) and outsiders (different ranges of environmental factors) is an indispensable path of future scientific and medical investigations [3].

Methods

Currently, clinical medications and therapeutics for suicide attempts need to be established into a higher level and therapeutic paradigms [5-7]. Since mental illnesses are commonly diagnosed by general clinicians or psychiatrists [8], they analyze patient’s psychiatric conditions (different types of psychiatric symptoms, such as depressive, mania or neuro-degeneration. Few psychiatrists go into details of patient’s environmental or economic conditions. Unveiling the interplay between insider (human genetics and chemical structures of drugs) and outsider (multi-factorial economic, social, past bad habits, trauma and so on) is in-depth diagnostic promotion [3]. New insights must be used for knowledge and therapeutic updating and human suicide reductions.

Results

Large proportion of human beings suffers depressive or manic symptoms from this highly competitive world [9,10]. Every environmental pressure and persistence will induce sequence of suicide ideations, self-harm, further suicide events or mortality. Better understanding about these pathological cascades in ongoing and progressed. The different environmental factors for the induction of human suicide are enlisted in Table 1 and Table 2. It is somewhat diversity between males and females in causative factors.

Male Female
Depression Divorced
Alcohol- or drug-related problems Under 25 years old
Separated, widowed, or divorced Social class (i.e. unskilled workers)
Social isolation Unsuitable, overcrowded accommodation
Recent discharge from psychiatric care Unemployment
Serious physical illness Debt
Impending or recent job loss At present address for less than 1 year
Current involvement with police
Prison
Certain occupations (e.g. farmer, doctor or lawyer)
-

Table 1: Major environmental factors associated with suicide in UK.

Different category Individual causations
Disease histories Types of onset
Precipitance episode and cycle length
Suicide and mortality
Comorbidity
Bad human habits Habitual alcoholism
Drug abuse
Tobacco utility
Substance-dependent
Social phobia
Obsessive-to-something (such as gambling or computer)
Past bad experiences Past trauma
Child-abuse
Sexual attack (rape)
War-veterans
And many others

Table 2: Different aspects of the suicide causations.

Since the suicide ideation and events might be through multifactorial processes, scientific investigations of each factor and different interaction are indispensable. Apart from this, patient’s insider factors, such as vitamin, hormone or neural transmitter levels also play roles in suicide formations and mortalities [11].

Suicide ideations, self-injures and self-harms are frequently met [10-12]. Great bodies of clinical suicide events are coming from past bad experience, such as war-time trauma [12], child-abuse, rape or attacks [10,11]. As a result, probing and determining these types of outside insults can help us predict suicide origin, symptoms, syndromes and mental illnesses.

Generally speaking, it is widely known that treatment of mood disorders is not easy. In many cases, mental disorder origins and progresses are complex and last life-long. A relationship between insider (genetic/molecular/visual/chemicals) and outsider insults (social, culture, environmental, cognitive, habitual and physical handicaps and so on) are future trends [3]. Theoretically, can it be possibly solved by mathematical/computer network in future? However it requires many updating evaluations and analyses models for all statistically valuable factors. Thus, we need to seek medications into multi-disciplinary or hire more mathematic- or physics-majored talents in the field of suicide environmental condition studies [13,14].

Therapeutic Improvements

The final stages of suicide preventions and therapeutics is commonly the drug therapy utilities [15,16]. The risks and beneficial outcomes of drug therapies are also affected by outside insults and human genetic predispositions [1-4,15-20]. Integration system for overall degrees of environmental insults is the first step for suicide prevention and managements (Figure 1).

advanced-techniqes-biology-medicine-mathematic-models

Figure 1. The Mathematic Models of Suicide Knowledge and formation.

Since a lot of environmental factors can affect patient’s mental conditions, one possibility of complete environmental information integrations for suicide predictions is through mathematic or computational network. These kinds of mathematic or computational network (in silico) are out of our biomedical majored researcher’s curricula now [21-27]. Joining hands with mathematics or physic-majored talents is an inevitable pathway for updating suicide predictions and prevention systems [26,27]. These types of medical researchers are rarely in psychiatric studies nowadays.

This is a very preliminary study, expanding cooperation between psychiatrists, mathematicians, pharmacologists, neurologists, technicians, pathologists, biochemists and scientists of other multidisciplinary must welcome to create new generations of medical decision-makings [7]. Interaction between insiders and outsider is quite necessary because they play unique role in suicide predictions and preventions.

Human personalities are greatly diversified. For examples, many people are optimistic, yet some other human beings are pessimistic. To these different personality types of human populations, same environmental insults will have different suicide risks and therapeutic outcomes among a variety of human beings personality and populations.

To improve healthcare of suicide risk patients, high quality nursery work is also important [28-30]. Only optimized nursery services and assists, patients may be improved completely.

Testing and comparisons of different algorithm or calculation systems and customizing several workable systems for clinical applications and medical interventions (commonly used in genetics, bioinformatics and a lot of outsider factors and so on) must be established [31-41].

Conclusion

The clinical suicidal episodes of patients may not only determined by chemical structures and genetic predisposition in humans. Environmental factors (such as fantastic failure, divorce or loss of work or family members) may also be important. More sophisticated techniques, statistical analysis systems for growing number of patients are needed. In the future, more attentions should be focused on different possibilities between chemical, genetic, molecular, environmental, neuropathy and therapeutics.

References

  1. Kapur N, Gask L. Introduction to suicide and self-harm. Psychiatry.2009;8(7):233-236.
  2. Lu DY, Lu TR, Zhu PP. Genetics and bioinformatics study of antidepressant drugs, recent advancements and future trends. Suicidal Ideation: Predictors, Prevalence and Prevention. Ed. Bradley Weaver. pp57-71, Nova Science Publishing, US, 2015.
  3. Lu DY, Lu TR, Zhu PP. The efficacies and toxicities of antidepressant drugs in clinics, building the relationship between Chemo-Genetics and Socio-Environments. Cent Nerv Syst Agents Med Chem. 2016;16(1): 12-18.
  4. Serafini G, Salano P, Amore M. Suicidal ideation: a comprehensive overview. Suicidal Ideation: Predictors, Prevalence and Prevention. Ed. Bradley Weaver.  pp1-42, Nova Science Publishing, US,2015.
  5. Lu DY, Lu TR, Che JY. Genetics and bioinformatics studies of antidepressant drug therapeutic efficacies and toxicities, a current overview. Recent Pat CNS Drug Discov. 2014; 9(3):193-199.
  6. Menchetti M, Rucci P, Bortolotti B. Moderators of remission with interpersonal counseling or drug treatment in primary care patients with depression: randomized controlled trial. Br J Psychiatry. 2014;204(2): 144-150.
  7. Lu DY, Zhu PP, Lu TR. The suicidal risks and treatments, seek medications from multi-disciplinary. Cent Nerv Syst Agents Med Chem. 2016;16(3): 231-239.
  8. Haddad M, Walters P, Tylee A. Mood disorders in primary care. Psychiatry. 2009; 8(2): 71-75.
  9. Morriss R. Psychological models of mood disorders. Psychiatry. 2009; 8(3): 82-86.
  10. Kerfoot M. Managing suicidal behavior in adolescents. Psychiatry. 2009; 8(7): 252-256.
  11. Cornelius JR, Walker JD, Klima G. Suicidal symptoms among veterans with chronic PTSD evaluated for treatment at a VA hospital. Suicidal Ideation: Predictors, Prevalence and Prevention. Ed. Bradley Weaver.  pp43-56, Nova Science Publishing, USA, 2015.
  12. Lu DY, Lu TR. Mathematics or physics-majored students on the biomedical fields, insiders or outsiders? Metabolomics. 2015; 5(4): e142.
  13. Lu DY, Wu HY, Lu TR. Updating biomedical studies by recruiting more mathematics or physics-majored talents. Metabolomics. 2016; 6(2): e148.
  14. McAllister-Williams R, Ferrier IN. Pharmacological management of unipolar affective disorder. Psychiatry.2009; 8(4):113-119.
  15. McAllister-Williams, R, Ferrier IN. Pharmacological management of bipolar affective disorder. Psychiatry. 2009;8(6):120-124.
  16. Rubino A, Roskell N, Tennis P. Andrews E. Risk of suicide during treatment with venlafaxine, citalopram, fluoxetine, and dothiepin: retrospective cohort study. BMJ. 2007: 334(7587): 242-247.
  17. Lu DY, Lu TR, Zhu PP. Undesired neural side-effects of a drug, a chemical and genetic interrelated problem. Central Nervous Sys Agent Med Chem. 2010;10(2): 108-112.
  18. Lu DY, Lu TR. Importance of genomic studies for drug withdrawal with mental illness. Drug Therapy Stud. 2011; 1(1): e11.
  19. Lilley R, Owens D. Services for assessment, after care, and psychological treatment following self-harm. Psychiatry. 2009;8(7): 246-251.
  20. Viana JDO, Felix MB, Maia MDS. Drug discovery and computational strategies in the multitarget drugs era. Braz J Pharmaceut Sci. 2018;54:e01010.
  21. Scotti L, Ishiki H, Mendonca-Junior FJB. In-silico analyses of natural products on Leishmania enzyme targets. Mini Rev Med Chem. 2015;15(3):253-269.
  22. Wallis C. How artificial intelligence will change medicine. Nature. 2019;576:s48.
  23. Lu DY, Lu TR, Wu HY.. The hypotheses for the pathogeny of drug-induced mania and suicide. Adv Pharmacoepidemiol Drug Safety. 2012;1(5):e114.
  24. Lu DY, Lu TR, Zhu PP. Genetics in neural toxicities of drugs. Central Nervous System Agent Medicinal Chemistry.2012;12(4):250-253.
  25. Lu DY, Chen YZ, Lu DF, Che JY. Patient’s care and nursery in different diseases. Hospice & Palliative Medicine International Journal. 2019, 3 (1), 28-30
  26. Lu DY, Chen YZ, Lu DF. Patient’s care and nursery in modern medicine. Nursery Practice and Health Care. 2019;1(1):101.
  27. Lu DY, Chen YZ, Lu DF. Nursery education, capability and service promotion. Open Access J Nursery. 2019; 2 (3):1-4.
  28. Kovacs D, Gonda X, Petschner P. Antidepressant treatment response is modulated by genetic and environmental factors and their interactions. Annals Gen Psychiatry. 2014;13(1): 17.
  29. Steiner M. Female-specific mood disorder. Psychiatry. 2009;8(2): 61-66.
  30. Kendell R. Diagnosis and classification of mood disorders. Psychiatry. 2006;5(4):112-114.
  31. Lu DY, Lu TR, Zhu PP. The hypotheses for the pathogens of antimicrobial-induced mania and suicide. Suicidal Ideation: Predictors, Prevalence and Prevention. Ed. Bradley Weaver, pp73-83, Nova Science Publishing, US, 2015.
  32. Davison K. Historical aspects of mood disorders. Psychiatry. 2006;5(4):115-118.
  33. Frangou S. Functional neuroimaging in mood disorders. Psychiatry. 2008;6(3):102-104.
  34. Frangou S. Brain structural changes in mood disorders. Psychiatry. 2009;8(3):105-106.
  35. Lu DY, Che JY, Wu HY, Lu TR, Putta S. Suicide risks and prevention, neuropathogenic study. EDEWEISS: Psychiatry. 2020;4(1):124.
  36. Sueki H. Suicide prevention using the Internet; mini-review and case study in online gate-keeping activity. Suicidal Ideation: Predictors, Prevalence and Prevention. Ed. Bradley Weaver. pp85-100, Nova Science Publishing. US, 2015.
  37. Lu DY, Zhu PP, Wu HY. Human suicide risk and treatment study. Cent Nerv Syst Agents Med Chem. 2018;18(3):206-212.
  38. Lu DY. Suicide Risks and Treatments, New Ideas and Future Perspectives. Ed Da-Yong Lu, Nova Science Publishers, New York, US,2017.

Author Info

Da-Yong Lu1*, Ying Shen2 and Shan Cao3
 
1School of Life Sciences, Shanghai University, Shanghai-200444, P.R. China
2Medical School, Shanghai Jiao-Tong University, Shanghai, P.R. China
3Kyoto University of Art & Design, Kyoto, Japan
 

Citation: Da-Yong L (2020) High quality treatments for human suicidal events and mortality. Adv Tech Biol Med. 8:270. doi:10.35248/23791764.8.2.270.

Received: 17-Apr-2020 Accepted: 07-May-2020 Published: 14-May-2020 , DOI: 10.35248/2379-1764.20.8.270

Copyright: 2020 Da-Yong L. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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