The nanotechnological arena has revolutionized the diagnostic
efficacies
by investigating the protein corona. This displays provoking proficiencies
in determining biomarkers and diagnostic fingerprints for early detection
and advanced therapeutics. The green synthesized iron oxide nanoparticles
were prepared via Withania coagulans and were well characterized using UV–visible spectroscopy,
X-ray diffraction analysis, Fourier transform infrared spectroscopy,
and nano-LC mass spectrophotometry. Iron oxides were rod-shaped with
an average size of 17.32 nm and have crystalline properties. The as-synthesized
nanotool mediated firm nano biointeraction with the proteins in treatment
with nine different cancers. The resultant of the proteome series
was filtered oddly that highlighted the variant proteins within the
differentially expressed proteins on behalf of nano-bioinformatics.
Further magnification focused on S13_N, RS15, RAB, and 14_3_3 domains
and few abundant motifs that aid scanning biomarkers. The entire set
of variant proteins contracting to common proteins elucidates the
underlining mechanical proteins that are marginally assessed using
the robotic nanotechnology. Additionally, the iron rods indirectly
possess a prognostic effect in manipulating expression of proteins
through a smarter route. Thereby, such biologically designed nanotools
provide a dual approach for medical studies.
In the current era, cancer is a critical health problem. Purpose of the study was symptomatic analysis of cancer patients and medical evaluation of hematological and biochemical parameters of patients from different geographical areas of district Bahawalpur. A crosssectional study was done to find out the diagnostic timeliness in cancer patients. Out of 150 cancer patients, 53% patients were males and 47% females with age from 15 years to 75 years. It has been shown that 76% of patients represent major symptoms of cancer while 24% of patients were showing minor symptoms. Furthermore, cancer patients were disturbed metabolical, hematological, and biochemical profiling. There were 83% of patients with anemia and 17% patients have normal hemoglobin count in males and 85 % of total female patients have low hemoglobin level while rest of 15% have normal hemoglobin count. Illiteracy is positively influencing the factors responsible for causing cancer with 53%, whereas 23% less than primary level education and only 1% of patients had completed their graduation. There were 31% of the patients lies in upper lower class of society, 28% lower class, Lower middle class 19%, middle class 14%, upper middle class 7% and only 1 % patients belong to high social status. This study will help to diagnosis the early cancer detection via biochemical and metabolic profiling.
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