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1.
Noncoding RNA Res ; 9(4): 1009-1022, 2024 Dec.
Article in English | MEDLINE | ID: mdl-39022684

ABSTRACT

Progress in the identification of core multi-protein modules within JAK/STAT pathway has enabled researchers to develop a better understanding of the linchpin role of deregulated signaling cascade in carcinogenesis and metastasis. More excitingly, complex interplay between JAK/STAT pathway and non-coding RNAs has been shown to reprogramme the outcome of signaling cascade and modulate immunological responses within tumor microenvironment. Wealth of information has comprehensively illustrated that most of this complexity regulates the re-shaping of the immunological responses. Increasingly sophisticated mechanistic insights have illuminated fundamental role of STAT-signaling in polarization of macrophages to M2 phenotype that promotes disease aggressiveness. Overall, JAK/STAT signaling drives different stages of cancer ranging from cancer metastasis to the reshaping of the tumor microenvironment. JAK/STAT signaling has also been found to play role in the regulation of infiltration and activity of natural killer cells and CD4/CD8 cells by PD-L1/PD-1 signaling. In this review, we have attempted to set spotlight on regulation of JAK/STAT pathway by microRNAs, long non-coding RNAs and circular RNAs in primary tumors and metastasizing tumors. Therefore, existing knowledge gaps need to be addressed to propel this fledgling field of research to the forefront and bring lncRNAs and circRNAs to the frontline of clinical practice. Leveraging the growing momentum will enable interdisciplinary researchers to gain transition from segmented view to a fairly detailed conceptual continuum.

2.
Biomed Res Int ; 2021: 5519436, 2021.
Article in English | MEDLINE | ID: mdl-34395616

ABSTRACT

Bacterial meningitis (BM) is a public health burden in developing countries, including Central Asia. This disease is characterized by a high mortality rate and serious neurological complications. Delay with the start of adequate therapy is associated with an increase in mortality for patients with acute bacterial meningitis. Cerebrospinal fluid culture, as a gold standard in bacterial meningitis diagnosis, is time-consuming with modest sensitivity, and this is unsuitable for timely decision-making. It has been shown that bacterial meningitis differentiation from viral meningitis could be done through different parameters such as clinical signs and symptoms, laboratory values, such as PCR, including blood and cerebrospinal fluid (CSF) analysis. In this study, we proposed the method for distinguishing the bacterial form of meningitis from enteroviral one. The method is based on the machine learning process deriving making decision rules. The proposed fast-and-frugal trees (FFTree) decision tree approach showed an ability to determine procalcitonin and C-reactive protein (CRP) with cut-off values for distinguishing between bacterial and enteroviral meningitis (EVM) in children. Such a method demonstrated 100% sensitivity, 96% specificity, and 98% accuracy in the differentiation of all cases of bacterial meningitis in this study. These findings and proposed method may be useful for clinicians to facilitate the decision-making process and optimize the diagnostics of meningitis.


Subject(s)
C-Reactive Protein/metabolism , Enterovirus Infections/diagnosis , Meningitis, Bacterial/diagnosis , Meningitis, Viral/diagnosis , Procalcitonin/blood , Biomarkers/blood , C-Reactive Protein/cerebrospinal fluid , Child , Child, Preschool , Clinical Decision-Making/methods , Decision Trees , Diagnosis, Differential , Enterovirus Infections/blood , Female , Humans , Infant , Machine Learning , Male , Meningitis, Bacterial/blood , Meningitis, Viral/blood , Procalcitonin/cerebrospinal fluid , Sensitivity and Specificity
3.
Asian Pac J Cancer Prev ; 22(4): 1295-1304, 2021 04 01.
Article in English | MEDLINE | ID: mdl-33906325

ABSTRACT

OBJECTIVE: The epidemiological features of the cervical cancer (CC) incidence and its spatial and temporal assessment in Kazakhstan were studied. METHODS: The retrospective study was done for the period 2009-2018. Descriptive and analytical methods of oncoepidemiology were used. RESULTS: During the study period, 16,441 new cases of CC were registered. The average annual crude and age-standardized incidence rate were 18.6±0.5 and 17.7±0.4 cases per 100,000 population of female, respectively, and their trends tended to increase (Тup=+2.3%; R2=0.708 and Тup=+1.9%; R2=0.615, respectively). The analysis of ASIR showed unimodal growth with a peak at 50-54 years - 45.3±1.1 cases per 100,000 population of female. Trends of ASIR decreased up to 30 years (Tdown=-1.8%; R2=0.111) and 35-59 years (Tdown=-0.9%; R2=0.103), in other age groups the trends increased, and were most pronounced in 40-44 (Тup=+4.1%; R2=0.878) and 65-69 years (Тup=+4.4%; R2=0.537). Trends in ASR of СС tended to grow in almost all regions, with higher levels in Mangystau (Тup=+4.1%; R2=0.482) and Aktobe (Тup=+6.3%; R2=0.846) regions. The cartograms of ASR per 100,000 population of female were allocated according to the following criteria: low - up to 16.3, average - from 16.3 to 19.2, high - above 19.2. The results of the spatial analysis showed the regions with a higher levels of CC incidence rate per 100,000 population of female: East Kazakhstan (19.8), Aktobe (20.0), Almaty (20.1), Kostanay region (20.9), Atyrau (21.7) regions and Almaty city (22.0). CONCLUSION: The study of trends of the cervical cancer incidence has the theoretical and practical value:  monitoring and evaluation of screening programmes, which are implemented in the country, and conduction of secondary prevention of cervical pathology. Health authorities should consider the obtained results in the in the organization of anti-cancer activities.


Subject(s)
Uterine Cervical Neoplasms/epidemiology , Adult , Age Distribution , Aged , Aged, 80 and over , Female , Humans , Incidence , Kazakhstan/epidemiology , Middle Aged , Retrospective Studies , Uterine Cervical Neoplasms/diagnosis
4.
Int J Telemed Appl ; 2020: 8830200, 2020.
Article in English | MEDLINE | ID: mdl-33343657

ABSTRACT

BACKGROUND: The implementation of medical digital technologies can provide better accessibility and flexibility of healthcare for the public. It encompasses the availability of open information on the health, treatment, complications, and recent progress on biomedical research. At present, even in low-income countries, diagnostic and medical services are becoming more accessible and available. However, many issues related to digital health technologies remain unmet, including the reliability, safety, testing, and ethical aspects. PURPOSE: The aim of the review is to discuss and analyze the recent progress on the application of big data, artificial intelligence, telemedicine, block-chain platforms, smart devices in healthcare, and medical education. Basic Design. The publication search was carried out using Google Scholar, PubMed, Web of Sciences, Medline, Wiley Online Library, and CrossRef databases. The review highlights the applications of artificial intelligence, "big data," telemedicine and block-chain technologies, and smart devices (internet of things) for solving the real problems in healthcare and medical education. Major Findings. We identified 252 papers related to the digital health area. However, the number of papers discussed in the review was limited to 152 due to the exclusion criteria. The literature search demonstrated that digital health technologies became highly sought due to recent pandemics, including COVID-19. The disastrous dissemination of COVID-19 through all continents triggered the need for fast and effective solutions to localize, manage, and treat the viral infection. In this regard, the use of telemedicine and other e-health technologies might help to lessen the pressure on healthcare systems. Summary. Digital platforms can help optimize diagnosis, consulting, and treatment of patients. However, due to the lack of official regulations and recommendations, the stakeholders, including private and governmental organizations, are facing the problem with adequate validation and approbation of novel digital health technologies. In this regard, proper scientific research is required before a digital product is deployed for the healthcare sector.

5.
Oxid Med Cell Longev ; 2020: 7145656, 2020.
Article in English | MEDLINE | ID: mdl-32655772

ABSTRACT

Skin aging has been associated with a higher dietary intake of carbohydrates, particularly glucose and galactose. In fact, the carbohydrates are capable of damaging the skin's vital components through nonenzymatic glycation, the covalent attachment of sugar to a protein, and subsequent production of advanced glycation end products (AGEs). This review is focused on the role of D-galactose in the development of skin aging and its relation to oxidative stress. The interest in this problem was dictated by recent findings that used in vitro and in vivo models. The review highlights the recent advances in the underlying molecular mechanisms of D-galactose-mediated cell senescence and cytotoxicity. We have also proposed the possible impact of galactosemia on skin aging and its clinical relevance. The understanding of molecular mechanisms of skin aging mediated by D-galactose can help dermatologists optimize methods for prevention and treatment of skin senescence and aging-related skin diseases.


Subject(s)
Galactose/toxicity , Oxidative Stress/physiology , Skin Aging/drug effects , Animals , Antioxidants/metabolism , Antioxidants/pharmacology , Cellular Senescence/drug effects , Collagen/metabolism , Galactosemias/etiology , Galactosemias/metabolism , Galactosemias/pathology , Galactosemias/therapy , Glycosylation , Humans , Oxidative Stress/drug effects , Skin/drug effects , Skin/metabolism , Skin/pathology , Skin Aging/pathology
6.
Iran J Public Health ; 48(7): 1257-1264, 2019 Jul.
Article in English | MEDLINE | ID: mdl-31497546

ABSTRACT

BACKGROUND: Breast cancer is the most common malignant disease among the female population of Kazakhstan like in many developed countries of the world (Canada, UK, US, Western Europe), and it accounts for every 5th tumor. We aimed to assess the epidemiological aspects of breast cancer incidence and mortality among Almaty and Astana (Now Nur-Sultan), Kazakhstan residents in 2009-2018. METHODS: A retrospective study using modern descriptive and analytical methods of epidemiology was conducted to evaluate the breast cancer incidence and mortality in megapolises of Kazakhstan. RESULTS: The average annual age-standardized incidence rate of breast cancer amounted to 61.9 0 0000 (95% CI=56.2-67.6) in Almaty and 61.2 0 0000 (95% CI=56.765.7) in Astana. The average age-standardized mortality was 19.2 0 0000 (95% CI=17.3-21.1) in Almaty and 19.3 0 0000 (95% CI=17.1-21.4) in Astana. The standardized incidence in the megapolises tended to increase (Tgr=+0.8% in Almaty and Tgr=+1.4% in Astana), while the mortality was decreasing (Tdec=-4.2% in Almaty and Tdec=-1.1% in Astana). According to the component analysis, the growth in the number of breast cancer cases was due to a population increase (ΔP=+130.4% in Almaty and ΔP=+93.2% in Astana), with a notable decrease of factors related to the risk of getting sick (ΔR=-27.9% in Almaty, ΔR=-6.1% in Astana). CONCLUSION: This is the first epidemiological study to assess the changes in incidence and mortality from breast cancer in megapolises of Kazakhstan because of screening. The results of this study can be used to improve the government program to combat breast cancer.

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