scholarly journals Evaluating the Risk of Metabolic Syndrome Based on an Artificial Intelligence Model

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Hui Chen ◽  
Shenghua Xiong ◽  
Xuan Ren

Metabolic syndrome is worldwide public health problem and is a serious threat to people's health and lives. Understanding the relationship between metabolic syndrome and the physical symptoms is a difficult and challenging task, and few studies have been performed in this field. It is important to classify adults who are at high risk of metabolic syndrome without having to use a biochemical index and, likewise, it is important to develop technology that has a high economic rate of return to simplify the complexity of this detection. In this paper, an artificial intelligence model was developed to identify adults at risk of metabolic syndrome based on physical signs; this artificial intelligence model achieved more powerful capacity for classification compared to the PCLR (principal component logistic regression) model. A case study was performed based on the physical signs data, without using a biochemical index, that was collected from the staff of Lanzhou Grid Company in Gansu province of China. The results show that the developed artificial intelligence model is an effective classification system for identifying individuals at high risk of metabolic syndrome.

Author(s):  
Elena Korneeva ◽  
Mikhail Voevoda ◽  
Sergey Semaev ◽  
Vladimir Maksimov

Results of the study related to polymorphism of ACE gene (rs1799752)‎, integrin αIIbβ3, and CSK gene (rs1378942) influencing development of arterial hypertension in young patients with metabolic syndrome are presented. Hypertension as a component of the metabolic syndrome was detected in 15.0% of young patients. Prevalence of mutant alleles of the studied genes among the examined patients was quite high, so homozygous DD genotype was found in 21.6%, and mutant D allele of the ACE gene in 47.4%. A high risk of hypertension in patients with MS was detected in carriers of the T allele of the CSK (rs1378942) gene – 54.8%, which was most often observed in a combination of polymorphic ACE and CSK gene loci (p = 0.0053).


Author(s):  
Makadia Krishna ◽  
Ronakgiri V. Gosai ◽  
Virpariya Jignesh ◽  
Chabhadiya Nilesh ◽  
Katrodiya Jayesh ◽  
...  

Oral leukoplakia (OL) is a premalignant lesion described as “a predominant white lesion of the oral mucosa which cannot be defined as any other known lesion”. OL located on the floor of the mouth, soft palate and tongue are considered as high-risk lesions, while, in other areas, they may be considered as of low malignancy risk. A Forty five years old male patient had complaints of white lesion on left lat. Surface of tongue, along with burning sensation since 4-5 months. He was diagnosed with Leukoplakia and he had taken allopathic medicine for 4 to 5 times, but it was inversely relapsed, so he was treated with Pratisarana of Bibhitaka Churna and Rasayana Churna, Yastimadhu Ghanavati as lozenges along with Rasayana tablets orally for a period of 6 months. After 6 month therapy, white lesion became disappear and no burning sensation. Thus this patient was successfully treated with above therapy with no recurrence or any complications till date.


Author(s):  
Timothy Gibbs

This article focuses on M15 organization and Klaus Fuchs, a German-born physicist and Soviet “Atom Spy” who was arrested in 1950 and served fourteen years for offences related to atomic espionage. It examines how Fuchs was identified as an “Atom Spy” in 1949 and describes the MI5's investigation, which ended in the early 1950 with the successful arrest, prosecution, and imprisonment of this highly significant Cold War figure. Key issues discussed in this article include the difficulties encountered by MI5 and the budding British atomic program in the sphere of security. It also discusses the role of Signals intelligence (SIGINT) in the investigation of Fuchs, and the high-risk but ultimately successful approach taken by MI5's key interrogator, William Skardon. This case study highlights both the unparalleled level of international intelligence cooperation between the British agencies and their American counterparts, which made the resolution of this case possible, and some of the frailties in the Anglo-American alliance that were brought to the fore by the exposure of Fuchs as an Atom Spy.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Akouélé P. Kuassi-Kpede ◽  
Essolakina Dolou ◽  
Théodora M. Zohoncon ◽  
Ina Marie Angèle Traore ◽  
Gnatoulma Katawa ◽  
...  

Abstract Background The causative agent of cervical cancer referred to as Human papillomavirus (HPV) remains a real public health problem. Many countries in West Africa, such as Togo have no data on the high-risk HPV (HR-HPV) infection and genotypes distribution. In order to fill the knowledge gap in the field in Togo, the main objective of this study was to determine the prevalence of pre-cancerous lesions of the cervix and HR-HPV genotypes among Togolese women. Methods Samples were collected from 240 women by introducing a swab in the cervix. Then, the screening of precancerous cervical lesions using the visual inspection with acetic acid and lugol (VIA / VIL) was conducted. The HR-HPV genotypes were characterised by real-time multiplex PCR. Results Out of 240 women recruited, 128 (53.3%) were infected by HR-HPV. The most common genotypes were HPV 56 (22.7%), followed by HPV 51 (20.3%), HPV 31 (19.5%), HPV 52 (18.8%) and HPV 35 (17.2%). The least common genotypes were HPV 33 (2.3%) and HPV 16 (2.3%). Among the women, 1.3% (3/240) were positive to VIA/VIL. Conclusion This study allowed HR-HPV genotypes to be characterised for the first time in Lomé, Togo. This will help in mapping the HR-HPV genotypes in West Africa.


Molecules ◽  
2021 ◽  
Vol 26 (5) ◽  
pp. 1393
Author(s):  
Ralitsa Robeva ◽  
Miroslava Nedyalkova ◽  
Georgi Kirilov ◽  
Atanaska Elenkova ◽  
Sabina Zacharieva ◽  
...  

Catecholamines are physiological regulators of carbohydrate and lipid metabolism during stress, but their chronic influence on metabolic changes in obese patients is still not clarified. The present study aimed to establish the associations between the catecholamine metabolites and metabolic syndrome (MS) components in obese women as well as to reveal the possible hidden subgroups of patients through hierarchical cluster analysis and principal component analysis. The 24-h urine excretion of metanephrine and normetanephrine was investigated in 150 obese women (54 non diabetic without MS, 70 non-diabetic with MS and 26 with type 2 diabetes). The interrelations between carbohydrate disturbances, metabolic syndrome components and stress response hormones were studied. Exploratory data analysis was used to determine different patterns of similarities among the patients. Normetanephrine concentrations were significantly increased in postmenopausal patients and in women with morbid obesity, type 2 diabetes, and hypertension but not with prediabetes. Both metanephrine and normetanephrine levels were positively associated with glucose concentrations one hour after glucose load irrespectively of the insulin levels. The exploratory data analysis showed different risk subgroups among the investigated obese women. The development of predictive tools that include not only traditional metabolic risk factors, but also markers of stress response systems might help for specific risk estimation in obesity patients.


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