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Background: Biotechnology is a multidisciplinary field based on the expertise of molecular biology, chemistry, biochemistry, chemical and biological engineering, and digital computing. Biotechnology plays an important role in modern forensic science, driving advances in analytical tools and techniques.This review study provides a brief overview of applications, highlighting advances in forensic biotechnology and key technologies involved in the domains of genomics and DNA analysis, microbial forensics, forensic medicine, and forensic serology. The integration of forensic expertise with technology has increased the accuracy, sensitivity, and efficiency of forensic casework.Conclusions: This interdisciplinary field extends beyond its usual association with biology to also include chemistry, fingerprint analysis, and toxicology, among others. Continued progress and innovation in this advanced field will further enhance investigative capabilities and facilitate the pursuit of justice.

Objective: Assessment of heart rate variability (HRV) is a non-invasive and reliable method to evaluate autonomic disorders after cerebral ischemia. The present study was conducted to investigate the therapeutic potential of IC87201 in reducing post-stroke cardiac dysfunction. Materials and methods: Cerebral ischemia was induced by the middle cerebral artery occlusion (MCAO) method in 15 anesthetized adult male rats in three MCAO, MCAO+ DXM, and MCAO+ IC87201 groups, for one hour. Electrocardiogram was recorded before, and 48 hours after ischemia and drug administration, and HRV parameters were calculated from R-R intervals. In the treatment groups, IC87201 and Dextromethorphan hydrobromide monohydrate (DXM) were injected after an ischemic period. Results: After brain ischemia, the R-R interval decreased and consequently heart rate increased. The R-R intervals were used to extract the HRV frequency and time domains, including normalized low frequency (LF), high frequency (HF), LF/HF ratio, and standard deviation of R-R interval (SDRR). Normalized LF and LF/HF ratio enhanced 48 hours after ischemia, while normalized HF and SDRR significantly reduced compared to the pre-ischemic state. All HRV parameters had returned to their pre-ischemic level 48 hours after IC87201 and DXM administration, except SDRR, which recovered only in the IC87201 administered group. Conclusion: Based on our findings, it can be concluded that cerebral ischemia significantly worsens HRV parameters as a result of sympathetic overactivity. These changes were reversed by administering DXM and IC87201, but IC87201 has generally been more effective in lowering lesions. As a result, IC87201 can be introduced as an effective substance for the treatment of post-ischemic cardiac side effects.

Currently brain connectivity modelling, constructed from data acquired by non-invasive technique such as functional magnetic resonance imaging (fMRI), is a well-received approach to illustrate brain function. However, not all connectivity models contains equal amount of information. There are two types of connectivity model that could be constructed from fMRI data, functional and effective connectivity. Effective connectivity includes information about the direction of the connection, while functional connectivity does not. This makes interpretation of effective connectivity more meaningful than functional connectivity. The objective of this study is to show the improvement in interpretability of effective connectivity model in comparison to functional connectivity model. In this study, we show how the difference in the information contained within these two model impacts the interpretation of the resulting connectivity model by analyzing resting-state fMRI data on episodic memory-related cognitive function using CONN Toolbox bivariate correlation measurement for functional connectivity analysis and Tigramite causal discovery framework for effective connectivity analysis on an episodic memory related resting-state fMRI dataset. The comparison between functional and effective connectivity results show that effective connectivity contains more information than the functional connectivity, and the difference in the information contained within these two types of model could significantly impact the intepretation of true brain function. In conclusion, we show that for the connectivity between specific pair of brain regions, effective connectivity analysis reveals more informative characteristic of the connectivity in comparison to functional connectivity where the depicted connectivity lack any additional characteristic information such as the direction of the connection or whether it is a unidirectional or bidirectional. These additional information improve interpretability of brain connectivity study. Thus, we would like to emphasis the important of brain function study using effective connectivity modelling to obtain valid interpretation of true brain function as currently a large body of research in this field focuses only on functional connectivity model.

Eye donation and eye banking are a boon in eye health care services for visual rehabilitation and corneal tattooing aesthetic purpose in post-trauma corneal opacities.A young female reported to our hospital with a complaint of corneal opacity and difficulty in closing her left eye. On examination, she was diagnosed with a “Corneal scar with an Inadvertent bleb”. The patient reported a history of corneoscleral injury for more than four years. A slit lamp examination showed a corneal scar with a micro leak at the inferotemporal scleral region.

Cataracts may be described as the opacity of crystalline lenses present in the eye. The translucent crystalline lens is a part of the human eye. It possesses all the physical characteristics of a biconvex lens. The eye’s lens performs similar functions to a camera’s lens. The lens directs light rays entering the eye to the retina’s sensitive layers. Any factor that increases the absorption of scattering of light by the lens reduces its transparency. The opacity of the lens or its capsule, whether developmental or acquired, is called a cataract. Cataracts vary in degree of density and site and assume various forms. Cataract is the leading cause of reversible visual impairment and blindness globally. There are several classifications of cataracts based on morphologic and/or etiologic criteria. However, in epidemiologic studies, the simplified system of three types based on localization of lens opacities is most commonly used: Nuclear cataract is the most common type, followed by cortical cataract and posterior subcapsular cataract. This most prevalent form of acquired cataract, also known as an “age-related cataract,” affects people of both sexes equally and typically develops after age 50. More than 90% of people experience senile cataracts by age 70. Although one eye is almost always afflicted before the other, the disorder is typically bilateral. In the available literature, there is no mention of any such drug that could reverse the opacity of the lens (cataract) once it occurred and make it clear and transparent again.Only replacement of opaque lenses with artificial transparent Intraocular lens (IOL) is successful treatment of cataracts. This review focuses on senile cataracts and the best possible management of senile cataracts.

Objective: Atlantoaxial subluxation (AAS) occurs when there is misalignment of the atlantoaxial joint. Several etiologies confer increased risk of AAS in children, including neck trauma, inflammation, infection, or inherent ligamentous laxity of the cervical spine. Methods: A single-center, retrospective case review was performed. Thirty-four patients with an ICD-10 diagnosis of S13.1 were identified. Demographics and clinical data were reviewed for etiology, imaging techniques, treatment, and clinical outcome. Results: Out of thirty-four patients, twenty-two suffered cervical spine trauma, seven presented with Grisel’s Syndrome, four presented with ligamentous laxity, and one had an unrecognizable etiology. Most diagnoses of cervical spine subluxation and/or instability were detected on computerized tomography (CT), while radiography and magnetic resonance imaging (MRI) were largely performed for follow-up monitoring. Six patients underwent cervical spine fusion, five had halo traction, twelve wore a hard and/or soft collar without having surgery or halo traction, and eight were referred to physical therapy without other interventions. Conclusion: Pediatric patients with atlantoaxial subluxation may benefit from limited 3D CT scans of the upper cervical spine for accurate diagnosis. Conservative treatment with hard cervical collar and immobilization after reduction may be attempted, but halo traction and halo vest immobilization may be necessary. If non-operative treatment fails, cervical spine internal reduction and fixation may be necessary to maintain normal C1-C2 alignment.

Specific quantification of therapeutic tissue stem cells (TSCs) is a major challenge. We recently described a computational simulation method for accurate and specific counting of TSCs. The method quantifies TSCs based on their unique asymmetric cell kinetics, which is rate-limiting for TSCs’ production of transiently-amplifying lineage-committed cells and terminally arrested cells during serial cell culture. Because of this basis, the new method is called kinetic stem cell (KSC) counting. Here, we report further validations of the specificity and clinical utility of KSC counting. First, we demonstrate its quantification of the expected increase in the hematopoietic stem cell (HSC) fraction of CD34+-selected preparations of human-mobilized peripheral blood cells, an approved treatment product routinely used for HSC transplantation therapies. Previously, we also used the KSC counting technology to define new mathematical algorithms with the potential for rapid determination of TSC-specific fractions without the need for serial culture. A second important HSC transplantation treatment, CD34+-selected umbilical cord blood (UCB) cells, was used to investigate this prediction. We show that, with an input of only simple population doubling time (PDT) data, the KSC counting-derived “Rabbit algorithms” can be used to rapidly determine the specific HSC fraction of CD34+-selected UCB cell preparations with a high degree of statistical confidence. The algorithms define the stem cell fraction half-life (SCFHL), a new parameter that projects stem cell numbers during expansion culture. These findings further validate KSC counting’s potential to meet the long-standing unmet need for a method to determine stem cell-specific dosage in stem cell medicine.

Cardiovascular diseases are the leading cause of death worldwide. There are many evidences that the dysfunctioning lipotoxicity is the one of major factors of cardiovascular diseases such as, atherosclerosis, hypertension, and coronary heart disease. Obesity and diabetes increase circulating lipids that are likely with more generation of toxic intermediates, which leading to the complications associated with cardiovascular diseases. Indeed, lipotoxicity is a metabolic syndrome caused by abnormal lipid accumulation, which leads to cellular dysfunction and necrosis. Here we review the factors that induced pathogenesis of cardiovascular diseases by lipid accumulation and the mechanisms underlying the lipotoxicity.

Chronic Kidney Disease (CKD) by definition is a disease characterized by irreversible elimination of renal function, which keeps propagating as corroborated by an estimated glomerular filtration rate (eGFR) of < 60 ml/min/1.73m2, the constant existence of presentation which pointed to Kidney injury (proteinuria, active sediments of urine, histological injury, structural aberrations or prior history with regards to Kidney transplantation) or both that are persistent for greaterthan 3 mths [1].

NAFLD is characterized by accumulation of fat in the liver that can lead to health complications. Previous studies have found the obesity phenotype and its components to be risk factors for the development of NAFLD. This study aims to examine the relationship between the obesity phenotype and NAFLD among each racial-ethnic group. We analyzed data from the NHANES III survey (1988-1994). The obesity phenotype was defined based on BMI and metabolic syndrome. NAFLD was defined by abdominal ultrasounds among non-alcoholics with no infection or taking drugs affecting the liver. A higher prevalence of NAFLD was found among the metabolically unhealthy obese group (43.1%) and the metabolically unhealthy overweight (29.4%) than the metabolically unhealthy normal weight (11.8%). Mexicans-Americans had higher odds of NAFLD relative to whites (adjusted odds ratio (AOR) = 1.3, 95% confidence interval (CI) = 1.01-1.9, p = 0.04). The metabolically healthy obese phenotype was associated with NAFLD (p > 0.05) in the overall sample and in Whites. The metabolically healthy overweight was associated with NAFLD only among Mexican-American (p < 0.05). Metabolically unhealthy overweight or obese had higher odds of NAFLD relative to the metabolically healthy normal weight and this relation is consistent in all the racial/ethnic groups (p < 0.05). Metabolically healthy overweight and obese individuals had a high chance of NAFLD and it varied by race/ethnicity. Healthcare providers should pay more attention to care for those who are part of the metabolically healthy overweight or obese group especially among the Mexican-American population.