Background: Delirium Tremens (DT) is known to be a serious complication of alcohol withdrawal syndrome (AWS). Neurotransmitter abnormalities, inflammation, and increased permeability are associated with the pathogenesis of AWS and DT. However, the biomarkers of these conditions are still poorly understood. Methods: In this work, biochemical, hematologic, inflammatory, and gut permeability biomarkers were investigated in the following three groups: healthy controls (n = 75), severe AWS patients with DT (n = 28), and mild/moderate AWS without DT (n = 97). Blood sampling was performed after resolution of the acute condition (on 5 ± 1 day after admission) to collect clinical information from patients and to investigate associations with clinical scales. Biomarker analysis was performed using automated analyzers and ELISA. Inflammatory biomarkers included the erythrocyte sedimentation rate (ESR), high-sensitivity C-reactive protein (hsCRP), and platelet-to-lymphocyte ratio (PLR). Results: Among the biochemical biomarkers, only glucose, total cholesterol, and alanine aminotransferase (ALT) changed significantly in the analyzed groups. A multiple regression analysis showed that age and ALT were independent predictors of the CIWA-Ar score. Hematologic biomarker analysis showed an increased white blood cell count, and the elevated size and greater size variability of red blood cells and platelets (MCV, RDWc, and PDWc) in two groups of patients. Gut permeability biomarkers (FABP2, LBP, and zonulin) did not change, but were associated with comorbid pathologies (alcohol liver disease and pancreatitis). The increase in inflammatory biomarkers (ESR and PLR) was more evident in AWS patients with DT. Cluster analysis confirmed the existence of a subgroup of patients with evidence of high inflammation, and such a subgroup was more frequent in DT patients. Conclusions: These findings contribute to the understanding of biomarker variability in AWS patients with and without DT and support the heterogeneity of patients by the level of inflammation.

UNASSIGNED: The transcription factor 7-like 2 gene (TCF7L2) is associated with a predisposition to type 2 diabetes mellitus (T2DM) in different ethnic populations. This article investigated the relationship between TCF7L2 gene expression and several biochemical indexes among different age categories of T2DM in a sample of the Iraqi population.
UNASSIGNED: One hundred and fifty blood samples were collected from three groups: young T2DM (10-35 years), old T2DM (40-80 years), and healthy control (10-65 years) groups. Both sexes were enrolled. qPCR was performed to explore the expression of the TCF7L2 gene. Biochemical tests were performed to assess hemoglobin A1C (HbA1c), triglyceride (TG), low-density lipoprotein (LDL), and high-density lipoprotein (HDL) levels. The body mass index (BMI) was calculated. The results were statistically analyzed.
UNASSIGNED: Patients with T2DM had higher BMI, TG, and LDL, and lower HDL than the control group. There was a strong positive correlation between hemoglobin A1C (HbA1c) and BMI, TG, and LDL and a negative correlation between HbA1c and HDL. Expression of the TCF7L2 gene showed a significant difference between old and young patients by 1.68 and 0.207 fold, respectively. These results showed that old patients had higher gene expression than young patients.
UNASSIGNED: TCF7L2 gene expression was affected by age, with higher expression in old T2DM patients. This may influence beta cell functions and insulin secretion.
UNASSIGNED: يعتبر جين \"عامل الانتساخ 7-مثل 2\" من الجينات المهمة التي وجد أنها مرتبطة بالاستعداد لمرض السكري من النوع الثاني في مختلف المجموعات العرقية. هدف هذا البحث هو التحقيق في العلاقة بين التعبير الجيني جين \"عامل الانتساخ 7-مثل 2\" وعدة مؤشرات كيميائية حيوية بين فئات عمرية مختلفة من مرضى السكري من النوع الثاني في عينة من السكان العراقيين.
UNASSIGNED: تم جمع 150 عينة دم بالتساوي من 3 مجموعات: مرضى السكري من النوع الثاني الشباب (10-35 سنة)، مرضى السكري من النوع الثاني المسنين (40-80 سنة)، ومجموعة ضابطة صحية (10-65 سنة). تم إشراك كلا الجنسين. تم إجراء تفاعل البلمرة المتسلسل في الوقت الفعلي لاستكشاف التعبير الجيني جين \"عامل الانتساخ 7-مثل 2\". تم إجراء الاختبارات الكيميائية الحيوية: نسبة الهيموجلوبين السكري، والدهون الثلاثية، والبروتين الدهني منخفض الكثافة، والبروتين الدهني عالي الكثافة. تم احتساب مؤشر كتلة الجسم. تم تحليل النتائج إحصائيا.
UNASSIGNED: كان لدى مرضى السكري من النوع الثاني سجلات أعلى فيما يتعلق بمؤشر كتلة الجسم، والدهون الثلاثية، والبروتين الدهني منخفض الكثافة، ونتائج البروتين الدهني عالي الكثافة أقل من مجموعة الضبط. هناك ارتباط إيجابي قوي بين نسبة الهيموجلوبين السكري ومؤشر كتلة الجسم، والدهون الثلاثية، والبروتين الدهني منخفض الكثافة. كان هناك ارتباط سلبي بين نسبة الهيموجلوبين السكري والبروتين الدهني عالي الكثافة. أظهر التعبير الجيني جين \"عامل الانتساخ 7-مثل 2\" اختلافا كبيرا بين المرضى المسنين والشباب بنسبة 1.68 و 0.207 على التوالي. أظهرت هذه النتائج أن المرضى المسنين لديهم تعبير جيني أعلى مقارنة بالمرضى الشباب.
UNASSIGNED: تأثر التعبير الجيني جين \"عامل الانتساخ 7-مثل 2 \"بالعمر، وكانت السجلات الأعلى للمرضى المسنين من النوع الثاني من السكري. قد يؤثر ذلك على وظائف خلايا بيتا وإفراز الأنسولين.

I present a patient with trisomy 18 associated with neuroblastoma. To the best of my knowledge, this is the second report of such an individual in the relevant literature. A 19-month-old girl known to have trisomy 18 presented with respiratory distress secondary to pleural effusion. Work-up showed metastatic neuroblastoma to multiple sites, and the patient\'s clinical situation was critical. The physician-parent\'s decision was not to proceed with treatment of the malignancy. Based on this report, I recommend that physicians remain vigilant and have a high level of suspicion about the potential association between neuroblastoma and trisomy 18. Accordingly, it may be necessary to consider performing serial abdominal ultrasounds and biochemical tests to screen children with trisomy 18 who survive beyond infancy.

Annona muricata is a common plant used in Africa and South America to manage various types of disease. However, there is insufficient toxicological information or published standard available regarding repeated dose animal toxicity data. As part of the safety assessment, we exposed Sprague Dawley rats to an acute oral toxicity of A. muricata. The intent of the current study was to use advanced proton nuclear magnetic resonance (1H NMR) in serum and urinary metabolomics evaluation techniques to provide the in vivo acute toxicological profile of A. muricata leaf ethanol extract in accordance with the Organization for Economic Co-operation and Development\'s (OECD) 423 guidelines. A single 2000 mg/kg dose of A. muricata leaf ethanol extract was administered to Sprague Dawley rats over an observational period of 14 days. The toxicity evaluation (physical and behavior observation, body weight, renal function test, liver function test and 1H NMR analysis) showed no abnormal toxicity. Histopathological analysis manifested mild changes, i.e., the treated kidney manifested mild hypercellularity of mesangial cells and mild red blood cell congestion. In addition, there was mild hemorrhage into tissue with scattered inflammatory cells and mild dilated central vein with fibrosis in the liver. However, the changes were very mild and not significant which correlate with other analyses conducted in this study (biochemical test and 1H NMR metabolomic analysis). On the other hand, urinary 1H NMR analysis collected on day 15 revealed high similarity on the metabolite variations for both untreated and treated groups. Importantly, the outcomes suggest that A. muricata leaf ethanol extract can be safely consumed at a dose of 2000 mg/kg and the LD50 must be more than 2000 mg/kg.

Chronic diseases, because of insidious onset and long latent period, have become the major global disease burden. However, the current chronic disease diagnosis methods based on genetic markers or imaging analysis are challenging to promote completely due to high costs and cannot reach universality and popularization. This study analyzed massive data from routine blood and biochemical test of 32 448 patients and developed a novel framework for cost-effective chronic disease prediction with high accuracy (AUC 87.32%). Based on the best-performing XGBoost algorithm, 20 classification models were further constructed for 17 types of chronic diseases, including 9 types of cancers, 5 types of cardiovascular diseases and 3 types of mental illness. The highest accuracy of the model was 90.13% for cardia cancer, and the lowest was 76.38% for rectal cancer. The model interpretation with the SHAP algorithm showed that CREA, R-CV, GLU and NEUT% might be important indices to identify the most chronic diseases. PDW and R-CV are also discovered to be crucial indices in classifying the three types of chronic diseases (cardiovascular disease, cancer and mental illness). In addition, R-CV has a higher specificity for cancer, ALP for cardiovascular disease and GLU for mental illness. The association between chronic diseases was further revealed. At last, we build a user-friendly explainable machine-learning-based clinical decision support system (DisPioneer: http://bioinfor.imu.edu.cn/dispioneer) to assist in predicting, classifying and treating chronic diseases. This cost-effective work with simple blood tests will benefit more people and motivate clinical implementation and further investigation of chronic diseases prevention and surveillance program.

UNASSIGNED: Preeclampsia has a deleterious effect on renal and liver function, which results in alterations of various biochemical tests. Therefore, the main aim of this study was to evaluate the role of some hepatic and renal biochemical tests in the diagnosis of preeclampsia.
UNASSIGNED: A comparative cross-sectional study was carried out on a total of 126 pregnant women after 20th week of gestation who attended at the University of Gondar Comprehensive Specialized Hospital. The participants were divided into two groups as cases and controls. The case group consisted of 63 preeclamptic women, whereas the control group had 63 age and gestational week matched normotensive pregnant women. From each participant, three milliliters of blood was collected, the serum part was separated, and selected biochemical tests were measured using Humastar 800 chemistry analyzer. An independent t-test and receiver operating characteristics were done using SPSS 20 for comparison and diagnostic value determination of different biochemical tests between the study groups.
UNASSIGNED: The maternal serum aminotransferases, total bilirubin, Creatinine, and Urea levels were all significantly elevated in preeclamptic women compared to normotensive pregnant women. The receiver operating characteristics plots revealed that serum aspartate aminotransferase level had area under the curve of 0.89 (95% CI: 0.84-0.95) and can distinguish preeclampsia patients from normotensive pregnant women at cut-off value of ≥58.5 U/l with 74.6% sensitivity, 87.3% specificity, and 80.9% diagnostic accuracy. Serum Creatinine level had area under the curve of 0.91 (95% CI: 0.86-0.96), which enabled to indicate preeclampsia at a cut-off value ≥0.90 mg/dl with 77.8% sensitivity and 85.7% specificity.
UNASSIGNED: An increased serum aminotransferases, total bilirubin, creatinine, and Urea levels in pregnant women could indicate the development of preeclampsia, and needs to be investigated. Among biochemical tests, serum Creatinine level was the best diagnostic marker of preeclampsia, followed by serum aspartate aminotransferase level.

Facile, efficient, and inexpensive biosensing systems are in high demand for biomedical test. In recent years, numerous smartphone-based biosensing systems have been developed to match demand for biomedical test in source-limited environment. However, application of these smartphone-based biosensing systems was limited because of performance gap between the smartphone-based systems and commercial plate readers. In this study, we have developed a smart tablet-phone-based colorimetric plate reader (STPCPR) with intelligent and dynamic light modulation for broad-range colorimetric assays. The STPCPR allows controllable modulation of exciting light in three different color channels that is lack in conventional smartphone-based system. Using optimized exciting modulation, the STPCPR shows higher sensitivities, lower detection limits, and broader detection ranges in test of pigments, proteins, and cells when compared to conventional plate readers and smartphone-based system. Therefore, the developed STPCPR can serve as an ideal next-generation smartphone-based biosensing system for point-of-care colorimetric test in diverse biomedical applications in source-limited environment.

Edwardsiella spp. is a gram-negative, facultatively anaerobic, intracellular bacteria threatening the aquaculture industry worldwide. Noticeably, E. tarda is now genotypically classified into three distinct groups (E. tarda, E. piscicida and E. anguillarum), but morphologically, it is unclear due to varying degrees of virulence in different fish hosts. Hence, to reclassify E. tarda, we investigated differences in genotypes, phenotypes and pathogenicity. We collected Edwardsiella isolates from five different counties of Taiwan between 2017 and 2021. At first, gyrB gene was amplified for a phylogenetic tree from 40 isolates from different fish and one reference isolate, BCRC10670, from the human. Thirty-nine strains clustered into E. anguillarum, 1 strain into E. piscicida and 1 strain into E. tarda from human strain. Second, all isolates were characterized using various phenotypic (API 20E biochemical profiles) and genotypic (pulsed-field gel electrophoresis [PFGE], and virulence-related gene detection). SpeI digestion revealed 10 pulsotypes and I-CeuI into 7 pulsotypes. Virulent genes (citC, gadB, katB, mukF and fimA) confirmed in 35, 31, 28, 37 and 38 isolates, respectively. Finally, in vivo challenge test in milkfish (Chanos chanos) indicated the highest mortality from E. anguillarum. Overall, results revealed unique features with Edwardsiella spp. genotypes and pathogenicity, which are relevant to the host and provide useful insights for future vaccine development.

In recent years, 16S ribosomal DNA (16S rDNA) sequencing has been widely developed. In the present study, we investigated the changes of fecal flora analyzed by sequencing of 16S rDNA and the alteration of blood biochemical indexes in cats during diarrhea. Seven normal fecal samples and seven fecal samples of British Shorthair cats with bacterial diarrhea about 6 months old were collected. The 16S rDNA V3 region of the bacteria was amplified for high-throughput sequencing. Finally, species analysis at various levels was performed. At the same time, samples of blood were taken to examine the changes of biochemical indexes in cats with diarrhea. The abundance and diversity of microflora in the healthy group were greater than those in the diarrhea group. The normal floras in the feces of healthy cats were Firmicutes, Actinobacteria, Bacteroidetes and Proteobacteria. The content of Proteobacteria and Firmicutes varied greatly in diarrheal cats. In addition, the number of white blood cells, lymphocytes, neutrophils, and globulin were increased in cats with diarrhea, whereas albumin level was decreased in diarrheal cats. In conclusion, the present study suggests 16SrDNA technology showed that the intestinal Proteus was abundant, and the content of Firmicutes was scarce in cats with diarrhea. Escherichia-Shigella was the main pathogens in this sample. Rapid blood biochemical tests may help clinicians to assess the severity and prognosis of cats with diarrhea.

Oral cavity is a diverse ecosystem which harbors immense diversity of microorganisms like fungi, virus and bacteria. Some of these microorganisms are involved in causing multiple infections. Oral flora is continuously changing due to connection with the external environment and produce bacteriocin against each other to compete for nutrient in this mini ecosystem. Current study was aimed to explore and compare the bacterial fauna of both healthy and non-healthy dental samples, by isolation and identification with biochemical tests to characterize the bacteriocin production. During study 120 swabs were taken from both healthy and unhealthy subjects. Samples were collected from the dental clinics of Makkah City, in sterile eppendorfs containing 1 ml nutrient broth, and were incubated overnight using shaking incubator. Bacteria were isolated following identification through Gram staining, microscopy and biochemical test. Total 15 strains of bacteria were isolated during the study amongst which 8 strains were gram positive and 7 strains were gram negative. The most dominant species of the gram positive strains was Streptococcus pneumoniae (n = 26). On the other hand, Escherichia coli (n = 26) was the prominent specie amongst the gram negative strains. Overall, the dominated family was Enterobacteriaceae (19.36%) followed by Streptococcaceae with 13.83% abundance. One of the most cariogenic strain Klebsiella pneumoniae (n = 14) was also isolated. The bacterial strain diversity between these two type of ecosystem was approximately the same, with slight variation in Shannon (HS:2.627187, NHS:2.653594) and Simpson diversity (HS:0.923461, NHS: 0.92684) index. The current research revealed that bacteriocin production in the Enterobacter species was prominent against Escherichia coli and Klebsiella pneumoniae. Apart from this other strains like Klebsiella pneumoniae and Exiguobacterium spp were also able to produce bacteriocin against Enterobacter species and Bacillus cereus respectively.