Powered by OpenAIRE graph
Found an issue? Give us feedback
ZENODOarrow_drop_down
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
versions View all 4 versions
addClaim

OG'IZ SUYUQLIGIDAGI BIOMARKERLAR ORQALI TIZIMLI KASALLIKLARNI (DIABET, SARATON, IMMUN TIZIMI KASALLIKLARI) ERTA ANIQLASH

Authors: Usmonov Burhonjon Bahodirjon ogli; Worldly Knowledge Publishing Centre;

OG'IZ SUYUQLIGIDAGI BIOMARKERLAR ORQALI TIZIMLI KASALLIKLARNI (DIABET, SARATON, IMMUN TIZIMI KASALLIKLARI) ERTA ANIQLASH

Abstract

Salivary biomarkers have gained significant attention as non-invasive diagnostic tools for the early detection of systemic diseases such as diabetes, cancer, and immune system disorders. Saliva contains a wide range of biological molecules, including proteins, enzymes, hormones, antibodies, and nucleic acids, which reflect both oral and systemic health status. Recent studies demonstrate that changes in salivary biomarker profiles can indicate metabolic dysregulation, inflammatory processes, and malignant transformations at early stages of disease development [1, 2]. The use of saliva-based diagnostics offers advantages such as easy sample collection, cost-effectiveness, and patient comfort. Advances in proteomics, genomics, and biosensor technologies further enhance the sensitivity and specificity of salivary biomarker detection, supporting their potential role in preventive and personalized medicine [3,4].

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Cancer Research