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Metabolomics unleashed: transforming disease diagnosis and treatment with molecular insights
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Introduction: Metabolism is a vital technique in the field of medical research. It offers an insight into the etiopathogenesis of diseases and the formulation of personalized treatment regimens. Biochemical and metabolic alterations require innovative therapeutic approaches in polycystic ovarian syndrome (PCOS). Trace elements, like copper and zinc, may help treat PCOS due to their relation to metabolism. Objective: The aim of this work was to explore the metabolic impact of copper and zinc supplementation in women with PCOS using state-of-the-art metabolomics technologies. Methods: This study included fifty PCOS patients and fifty healthy subjects. High-resolution mass spectrometry (HRMS) and nuclear magnetic resonance spectroscopy (NMR) was used for the metabolic analysis of the participants before and after obtained standard copper and zinc exposure, extracted from the blood samples of the analysis. Results: Compared with the control group, significant metabolic changes were noted post-supplementation in the PCOS patients. Fasting glucose was lower (85.2 mg/ dL to 79.1 mg/dL, p < 0.05), suggesting enhanced glucose metabolism. Higher lactate (12.5 µmol/L to 15.3 µmol/L, p < 0.05) indicated a higher energy utilization. Studies show increased levels of leucine (85.7 µg/mL to 92.3 µg/mL, p < 0.01) and palmitic acid (120.6 µg/mL to 136.2 µg/mL, p < 0.001) that mirrored alterations in amino acid and lipid metabolism. Glutamine (85.7 µg/mL vs. 78.9 µg/mL, p < 0.05) and creatinine (1.2 mg/dL vs. 0.9 mg/dL, p < 0.01) were elevated, while choline (45.8 µmol/L vs. 52.4 µmol/L, p < 0.001) decreased, highlighting supplementation's metabolic impact. Conclusion: Metabolomics showed that zinc and copper supplements could be used therapeutically to adjust PCOS-related metabolic pathways. These effects highlight the significance of metabolomics in precision medicine by allowing the introduction of customized therapeutic techniques catered to unique metabolic profiles for advanced sickness manipulation and therapeutic consequences. Graphical Abstract

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Publication Date
Wed Apr 25 2018
Journal Name
Oriental Journal Of Chemistry
Diagnosis, Structure, and In vitro Antimicrobial and Antifungal Evaluation of some Amino benzoic acids, derived Ligand Schiff base and their Mixed Complexes with Cu(II), Hg(II), Mn(II), Ni(II) and Co(II)
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Publication Date
Sun Mar 04 2012
Journal Name
Baghdad Science Journal
Replication and attenuation of foot and mouth disease virus in chick embryo
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This study includes replication and attenuation of foot and mouth disease virus type O which isolated from infected calves. Many passages for the virus in chick-Embryo were established as a substitute method to the tissue culture which is highly caustic in contrast to the chick embryo. The virus passed ten consequent passages which lead to the reduce of the titer of the virus from 106.53 TCID50/ 0.1 ml in cattle testis tissue culture to 103 TCID50/ 0.1 ml. the pathogenecity of attenuated FMD virus were also studied in both chick-embryo and guinea pigs. Using agar gel diffusion test precipitation antibodies was detected in guinea pig serum after 14 and 21 days post exposure to the attenuated virus. The inoculated guine

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Publication Date
Fri Jan 05 2024
Journal Name
Oral Diseases
E-cadherin and TAC in GCF accurately discriminate periodontal health and disease
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Objective To investigate the accuracy of gingival crevicular fluid (GCF) E-cadherin and total antioxidant capacity (TAC) to discriminate periodontal health from disease. Subjects and Methods GCF samples were collected from participants with periodontal health (control), gingivitis, and periodontitis (n = 25 each group). The latter group was further subdivided according to stage (S) and grade. Periodontal parameters were recorded then levels of biomarkers were assayed using ELISA and antioxidant status by use of the Total Antioxidant Capacity Assay for E-cadherin and TAC, respectively. Results All periodontal parameters were significantly higher in periodontally diseased groups than controls. The GCF E-cadherin significantly increased

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Publication Date
Sun Dec 31 2023
Journal Name
Sumer Journal For Pure Science
COVID-19Disease Diagnosis using Artificial Intelligence based on Gene Expression: A Review
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Publication Date
Mon Jun 30 2014
Journal Name
Al-kindy College Medical Journal
Evaluation of D-Dimer in the diagnosis of suspected deep vein thrombosis
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Background: Deep vein thrombosis is a multi causal disease and its one of most common venous disorder, but only one quarter of the patients who have signs and symptoms of a clot in the vein actually have thrombosis and need treatment .The disease can be difficult to diagnose. Venous ultrasound in combination with clinical finding is accurate for venous thromboembolism, its costly because a large number of patients with suspicious signs and symptoms. Venography still the gold standard for venous thromboembolism but it is invasive. The D-dimer increasingly is being seen as valuable tool rolling out venous thromboembolism and sparing low risk patients for further workup.Objectives: this study has designed the role of D-dimer to confirm diag

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Publication Date
Sat Sep 15 2018
Journal Name
Journal Of Baghdad College Of Dentistry
Evaluation of the efficacy of ultrasound in the diagnosis of cervical lymphadenopathy
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Background: Cervical lymph nodes are prone to involved by a number of pathologic processes. They are common sites for lymphoma, metastasis, and reactive enlargement in a number of conditions. Aims of the study:-Clinical evaluation of patients with cervical lymphadenopathy. Differentiation between benign and malignant lymph nodes by means of ultra sounds (US) and Correlate the US findings with cytological and/or histopathological findings of cervical lymph nodes. Subjects, Materials and Methods:-The present study was carried out over a period of 6 months and included 81 patients of different age groups presenting with cervical lymphadenopathy. Each patient was examined clinically, then comprehensive sonographic examination of the neck for

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Publication Date
Sun Feb 08 2009
Journal Name
Ibn Al- Haitham J. For Pure & Appl. Sci.
Evaluation of Dot. ELISA test for Diagnosis Visceral Leishmaniasis in Infected Children
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Evaluation of Dot. ELISA test for Diagnosis Visceral Leishmaniasis in Infected Children

Publication Date
Thu Jan 30 2020
Journal Name
Al-kindy College Medical Journal
Accuracy of Fine Needle Aspiration Biopsy (F.N.A.B) in Diagnosis of Breast Lump
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Background: Breast cancer is the first one among Iraqi females. Most of them present later for diagnosis. Early detection center in tertiary hospital practice uses FNAB for early diagnosis. Publications on accuracy of this detection are scarce.

Objective:  To test the accuracy of FNAB in breast lump diagnosis.

Methods: Diagnostic test accuracy study, on 204 women with breast lump, attending the oncology department in 2017.

Results: Fine-needle aspiration biopsy diagnosis of histologically malignant cases were, malignant in 89 (87.3%), suspicious of malignancy in 5 (4.9%), and benign in 4 (3.9%). Complete sensitivity was 87.3%, and specificity

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Publication Date
Thu Jul 01 2021
Journal Name
Mustansiriya Medical Journal
Evaluation of some biomarkers in diagnosis of bacterial bloodstream infection in children
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Background Bloodstream infection (BSI) is a life-threatening condition caused by the presence of microorganisms, generally caused by a range of bacteria in the blood. Objectives The aim of this study was to evaluate the possible role of procalcitonin (PCT) and C-reactive protein (CRP) as biomarkers of pediatric BSI. Methodology The study was conducted on 150 blood samples collected from the patient who admitted to Children Welfare Teaching Hospital, Medical City, Baghdad. During the period from November 2020 to March 2021, ninety blood samples from them were positive culture and 60 blood samples were negative culture (control group). The isolates were identified depending on the morphological, microscopic examination, and biochemical tests.

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Publication Date
Mon Nov 21 2022
Journal Name
Sensors
Deep Learning-Based Computer-Aided Diagnosis (CAD): Applications for Medical Image Datasets
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Computer-aided diagnosis (CAD) has proved to be an effective and accurate method for diagnostic prediction over the years. This article focuses on the development of an automated CAD system with the intent to perform diagnosis as accurately as possible. Deep learning methods have been able to produce impressive results on medical image datasets. This study employs deep learning methods in conjunction with meta-heuristic algorithms and supervised machine-learning algorithms to perform an accurate diagnosis. Pre-trained convolutional neural networks (CNNs) or auto-encoder are used for feature extraction, whereas feature selection is performed using an ant colony optimization (ACO) algorithm. Ant colony optimization helps to search for the bes

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