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  • articleNo Access

    Geographical, Molecular, and Computational Analysis of Migraine-Causing Genes

    Migraine is a re-occurring type of headache and causes moderate-to-severe pain that is troubling or pulsing. The pain occurs in half of the head, and common symptoms are photophobia, phonophobia, nausea, depression, anxiety, vomiting, etc. This study evaluates the prevalence of migraine and responsible genes through molecular modeling in the region of Bahawalpur, Pakistan. This research was aimed to determine the prevalence of migraine-causing genes in the population of Bahawalpur and also to do molecular and in-silico analysis of migraine-causing gene as no similar research was conducted before. The disease was characterized and diagnosed under the criteria of the Second Edition of the International Classification of Headache Disorders and molecular identification of migraine-causing genes, i.e. GRIA1, GRIA3, and ESR1, by PCR amplification. The total number of samples collected for migraine patients was 230, out of which 30 were positive for PCR amplification of the genes GRIA1, GRIA3, and ESR1. Therapeutic potentials of commercial drugs, namely Cyclobenzaprine, Divalproex, Ergotamine, and Sumatriptan, were analyzed in silico through molecular docking. Ergotamine demonstrated the highest binding affinity of 8.4 kcal/mol for the target molecule and, hence, the highest potential. The bivariate analysis showed that the prevalence of migraine concerning gender and age was significantly correlated (α=0.01, p=0.212). It was observed that almost 31.4% of women suffered from headaches daily, 70% weekly, 28.1% monthly, and 23.5% rarely. Comparatively, only 8.3% of males suffered from daily headaches, 34% weekly, 12.8% monthly, and 14.9% rarely. The study shows promising results and encourages future researchers to conduct such a comprehensive epidemiological study on an even larger population to justify a more precise association of risk factors involved in migraine pathophysiology.

  • articleNo Access

    A RETROSPECTIVE STUDY OF PATHOLOGICAL FINDINGS IN ENDANGERED FORMOSAN PANGOLINS (MANIS PENTADACTYLA PENTADACTYLA) FROM SOUTHEASTERN TAIWAN

    Formosan pangolin, a sub-species of Chinese pangolin is a critically endangered insectivorous mammal found only in Taiwan. Pathological studies are helpful in the diagnosis and investigation of wildlife diseases. Pathological findings in pangolins have not been well documented. The present paper reports the pathological findings of 14 free-ranging Formosan pangolins. External injuries and superficial wounds (6/14) were common finding in gross examination and were mostly found in the legs. Respiratory system (78%, 11/14) lesions included interstitial pneumonia, atelectasis and emphysema. Hepatic changes (43%, 6/14) included necrosis, bile duct hyperplasia, lipidosis and extensive hepatocyte degeneration. Parasites were detected in 57% of pangolins (8/14) studied and included both endoparasites and ectoparasites. Urinary system (21%, 3/14) lesions were interstitial nephritis and nephrolithiasis. Brain lesions were found in three pangolins and included cerebral edema and hemorrhage and ventriculitis. Additional pathological lesions included thyroid gland hyperplasia and left ventricular hypertrophy. The presented pathological findings can aid in the understanding of diseases of pangolins and will contribute knowledge to future investigations on diseases of pangolins.

  • articleNo Access

    CLASSIFICATION OF BINARY SPATIAL TEXTURES USING STOCHASTIC GEOMETRY, NONLINEAR DETERMINISTIC ANALYSIS AND ARTIFICIAL NEURAL NETWORKS

    Stereology and stochastic geometry can be used as auxiliary tools for diagnostic purposes in tumour pathology. The role of first-order parameters and stochastic–geometric functions for the classification of the texture of biological tissues has been investigated recently. The volume fraction and surface area per unit volume, the pair correlation function and the centred quadratic contact density function of epithelium were estimated in three case series of benign and malignant lesions of glandular tissues. This approach was further extended by applying the Laslett test, i.e. a point process statistic computed after transformation of the convex tangent points of sectioned random sets from planar images. This method has not yet been applied to histological images so far. Also the nonlinear deterministic approach to tissue texture was applied by estimating the correlation dimension as a function of embedding dimension. We used the stochastic–geometric functions, the first-order parameters and the correlation dimensions for the classification of cases using various algorithms. Learning vector quantization was applied as neural paradigm. Applications included distinction between mastopathy and mammary cancer, between benign prostatic hyperplasia and prostatic cancer, and between chronic pancreatitis and pancreatic cancer. The same data sets were also classified with discriminant analysis and support vector machines. The stereological estimates provided high accuracy in the classification of individual cases. The question: which category of estimator is the most informative, cannot be answered globally, but must be explored empirically for each specific data set. The results obtained by the three algorithms were similar.

  • articleNo Access

    Anatomical Variations of the Extensor Carpi Ulnaris Groove: A New Computed Tomography-based Evaluation

    Background: This study aimed to develop a classification that precisely describes the extensor carpi ulnaris (ECU) groove morphology.

    Methods: Reconstructed axial plane computed tomography scans of the wrists of 200 patients were reviewed. Three groups of groove shape were created based on the position of the deepest point: deviated to the ulnar side (Type U), in the middle of the groove (Type M), and deviated to the radial side (Type R). Groove depth, width, carrying angle, and radius of the curvature were measured using the Picture Archiving and Communication System in a slice in which the ulnar head was the largest.

    Results: Type U was present in 88 patients (44%), Type M in 74 patients (37%), and Type R in 38 patients (19%). The average depth, width, carrying angle, and radius of curvature were 2.2 mm, 9.2 mm, 135.8° and 7.0 mm, respectively. Depth, width, and carrying angle were normally distributed. Both depth and width were statistically correlated with the carrying angle; groove depth and width were not correlated. ECU groove shape and depth showed excellent intra- and inter-observer reliabilities; the reliabilities for the width were poor. Therefore, depth subgroups were defined using cutoffs of ±2 standard deviations (SD): d1 (≤-2 SD), ≤1.0 mm; d2 (±SD), 1.1–3.3 mm; and d3 (≥+2 SD), ≥3.4 mm. The 200 wrists were classified as follows: 0.5% Ud1, 40.2% Ud2, 1.3% Ud3, 0.8% Md1, 38.3% Md2, 0.8% Md3, 1.5% Rd1, 16.4% Rd2, and 0.2% Rd3.

    Conclusions: The detailed morphology of the ECU groove was classified using three major types and depth subgroups. The Type R ECU groove, which lacks a medial bony buttress, might be more prone to ECU-related injuries. This classification helps to understand the ECU tendon-related injury pathologies and may provide valuable information for treatment decisions; however, further research is necessary.

  • articleNo Access

    TURKEY CORONAVIRUS: AN UPDATED REVIEW

    Turkey coronavirus (TCoV) causes acute atrophic enteritis and uneven flock growth in turkey farms leading to economic loss. Since 1990's, turkey flocks have kept experiencing coronaviral enteritis sporadically in the United States, Canada, Europe, and Brazil. Poult enteritis and mortality syndrome (PEMS) caused by the co-infection of TCoV, astrovirus, and other viruses or bacteria resulted in significantly high mortality. Diagnosis of TCoV depends on reverse transcription polymerase chain reaction (RT-PCR), quantitative real-time PCR, immunohistochemistry (IHC), immunofluorescent antibody assay and virus isolation (VI). Genomic organization of TCoV is as follows: 5′ UTR-1a-1b-S-3a-3b-E-M-5a-5b-N-UTR 3′. Genomic analysis suggests the emergence of TCoV from infectious bronchitis virus (IBV) through the recombination of spike (S) gene. Both TCoV and IBV belong to species Avian coronavirus in genus Gammacoronavirus and have a single stranded RNA genome with a size about 27 kb. High similarity of S genes has been found between TCoV isolates in contrast to low similarity between IBV strains. TCoV infection induced strong humoral and cellular immune responses, characterized by high levels of antibody and interferon gamma. The fragment containing neutralizing epitopes in the S protein has been identified. Vaccines conferring protection against TCoV have not been developed and used in the fields but live attenuated, killed, DNA, and fowlpox virus vectored vaccines have been generated and their efficacies were evaluated. Molecular epidemiology of TCoV in recent outbreaks sheds more information on the evolution and transmission of TCoV, which will aid in developing effective vaccines or treatment to prevent, control, or eliminate TCoV infection.

  • articleNo Access

    JOINT LESIONS IN TAIWAN NATIVE COLORED BROILER CHICKEN WITH NATURAL AND EXPERIMENTAL STAPHYLOCOCCUS AUREUS OR S. COHNII INFECTION

    A total of 14 isolates of Staphylococcus aureus and 10 isolates of Staphylococcus cohnii subsp. urealyticum were isolated from 90 field cases of arthritis. Joint lesions that were induced by both staphylococci could not be distinguished and were characterized by fibrinopurulent arthritis and tenosynovitis, associated with synovial cell hyperplasia. Additional changes included chondronecrosis and osteomyelitis. Similar lesions were induced by artificial intravenous inoculation of native colored broilers with the two pathogens. Both species were identified using API Staph kits and detection of 16S rRNA genes. Based on a phylogenetic analysis of gap, our isolates of S. cohnii subsp. urealyticum could be divided into two groups. This study is the first report on joint lesions due to S. cohnii subsp. urealyticum infection in broiler chickens.