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Does Proteomic Mirror Reflect Clinical Characteristics of Obesity?

Institute of Biomedical Chemistry, Pogodinskaya Street 10/8, 119121 Moscow, Russia
Federal Research Centre of Nutrition, Biotechnology and Food Safety, Russian Academy of Sciences, Ustinsky Passage 2/14, 109240 Moscow, Russia
Russian Medical Academy of Continuing Professional Education, Ministry of Health of the Russian Federation, Barrikadnaya Street 2/1, 125993 Moscow, Russia
I.M. Sechenov First Moscow State Medical University (Sechenov University), Ministry of Health of the Russian Federation, Trubetskaya Street 8/2, 119991 Moscow, Russia
Author to whom correspondence should be addressed.
Academic Editor: Mikhail Ivanovich Voevoda
J. Pers. Med. 2021, 11(2), 64;
Received: 10 December 2020 / Revised: 14 January 2021 / Accepted: 15 January 2021 / Published: 21 January 2021
Obesity is a frightening chronic disease, which has tripled since 1975. It is not expected to slow down staying one of the leading cases of preventable death and resulting in an increased clinical and economic burden. Poor lifestyle choices and excessive intake of “cheap calories” are major contributors to obesity, triggering type 2 diabetes, cardiovascular diseases, and other comorbidities. Understanding the molecular mechanisms responsible for development of obesity is essential as it might result in the introducing of anti-obesity targets and early-stage obesity biomarkers, allowing the distinction between metabolic syndromes. The complex nature of this disease, coupled with the phenomenon of metabolically healthy obesity, inspired us to perform data-centric, hypothesis-generating pilot research, aimed to find correlations between parameters of classic clinical blood tests and proteomic profiles of 104 lean and obese subjects. As the result, we assembled patterns of proteins, which presence or absence allows predicting the weight of the patient fairly well. We believe that such proteomic patterns with high prediction power should facilitate the translation of potential candidates into biomarkers of clinical use for early-stage stratification of obesity therapy. View Full-Text
Keywords: obesity; BMI; blood tests; proteomics; mass spectrometry obesity; BMI; blood tests; proteomics; mass spectrometry
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    Description: Table 1. Anthropometrical and clinical characteristic of individuals under study Note 1. Principal Components Analysis of clinical parameters and proteins identified in the samples of blood plasma.
MDPI and ACS Style

Kiseleva, O.I.; Arzumanian, V.A.; Poverennaya, E.V.; Pyatnitskiy, M.A.; Ilgisonis, E.V.; Zgoda, V.G.; Plotnikova, O.A.; Sharafetdinov, K.K.; Lisitsa, A.V.; Tutelyan, V.A.; Nikityuk, D.B.; Archakov, A.I.; Ponomarenko, E.A. Does Proteomic Mirror Reflect Clinical Characteristics of Obesity? J. Pers. Med. 2021, 11, 64.

AMA Style

Kiseleva OI, Arzumanian VA, Poverennaya EV, Pyatnitskiy MA, Ilgisonis EV, Zgoda VG, Plotnikova OA, Sharafetdinov KK, Lisitsa AV, Tutelyan VA, Nikityuk DB, Archakov AI, Ponomarenko EA. Does Proteomic Mirror Reflect Clinical Characteristics of Obesity? Journal of Personalized Medicine. 2021; 11(2):64.

Chicago/Turabian Style

Kiseleva, Olga I., Viktoriia A. Arzumanian, Ekaterina V. Poverennaya, Mikhail A. Pyatnitskiy, Ekaterina V. Ilgisonis, Victor G. Zgoda, Oksana A. Plotnikova, Khaider K. Sharafetdinov, Andrey V. Lisitsa, Victor A. Tutelyan, Dmitry B. Nikityuk, Alexander I. Archakov, and Elena A. Ponomarenko. 2021. "Does Proteomic Mirror Reflect Clinical Characteristics of Obesity?" Journal of Personalized Medicine 11, no. 2: 64.

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