Clinical Significance of Haptoglobin, an Acute Phase Protein | Chapter 3 | Research Aspects in Biological Science Vol. 5

In the blood plasma, haptoglobin is an acute phase protein that has a high affinity for binding haemoglobin released from erythrocytes, reducing iron loss and renal injury while also inhibiting its oxidative activity. The acute phase response is modulated in a variety of ways by haptoglobin, which also possesses antibacterial properties. Since haptoglobin also has clinical relevance, it can be utilised to identify a variety of medical disorders. Humans can have one of three different haptoglobin phenotypes: Hp 1-1, Hp 2-1, or Hp 2-2. The Haptoglobin groups can be used in forensic research in cases of disputed paternity. We are all aware of how crucial it is to get trustworthy data for forensic science and study. Any inference made from a wealth of available evidence is trustworthy and unchallengeable. The gene frequency of these three haptoglobin phenotypes has been the subject of population studies all throughout the world. The study is an effort in this regard; it compares newly available data to changes in the percentage of distinct Haptoglobin types.

 

Author (s) Details

K. J. Joshi

Forensic Science Laboratory, Kalina, Mumbai, India.

B. T. Shah

Forensic Science Laboratory, Kalina, Mumbai, India.

V. R. Rathod

Forensic Science Laboratory, Kalina, Mumbai, India.

 

View Book :-  https://stm.bookpi.org/RABS-V5/article/view/7612

 

Keywords -  Electrophoresis, genotype, gene frequency, haptoglobin, page, phenotype, population study

Analysis of High-Resolution Computed Tomography Phenotypes and Pulmonary Function in Chronic Obstructive Pulmonary Disease | Chapter 8 | Current Practice in Medical Science Vol. 2

Introduction: Using high-resolution computed tomography (HRCT), many aspects of chronic obstructive pulmonary disease (COPD) may be diagnosed. FEV1) was seen with lower lobe and overall average MLD whereas a weak linear association of post-FEV1 was observed with (HRCT). This research aimed to evaluate COPD patients' HRCT features.

Materials and Methods: Of the 50 patients with COPD who satisfied the GOLD guidelines 2014 criteria for inclusion based on spirometry, 35 had an HRCT. The Philips lung densitometry computer application was used to calculate densities using these restrictions (-800/-1, 024 Hounsfield unit [HU]) after densitometry data were verified using phantoms. In order to quantify the attenuation as mean lung density (MLD) of the lower and upper lobes, we first designated the region of interest using a free-hand drawing, established restrictions (in HUs), and then utilised a computer programme.

Results: There was a significant correlation between the smoking index and the anterior-posterior tracheal diameter (P = 0.036). The tracheal index dropped with increasing disease severity, which was statistically significant (P = 0.037). Pre-forced expiratory volume in the first second (both coronal (P = 0.042) and sagittal (P = 0.001) lower lobes MLD) showed a weak linear connection. Additionally, there was a linear connection between sagittal lower lobe MLD and pre (P = 0.050) and post (P = 0.024) FEV1/forced vital capacity.

In conclusion, HRCT could be a helpful addition to the total COPD examination.

Author(s) Details:

Ravi Bhaskar,

Department of Pulmonary Medicine, Career Institute of Medical Sciences, Lucknow (UP), India.

Seema Singh,

Department of Respiratory Medicine, King Georges Medical University, Lucknow (UP), India.

Pooja Singh,

Department of Pulmonary Medicine, Career Institute of Medical Sciences, Lucknow (UP), India.

Sandeep K. Singh,

Govt. Pharmacy College, BRD Medical College Campus, Gorakhpur, UP, India.

Please see the link here: https://stm.bookpi.org/CPMS-V2/article/view/7347

New Direction for Autism Research: A Review | Chapter 7 | Recent Developments in Medicine and Medical Research Vol. 5

 The goal of this research is to see if there is a need for a major shift in autism research strategy. Autism prevalence appears to have risen from 0.62 percent in 2012 to 1.85 percent in 2020 at first appearance. However, no rise in the prevalence of any of the other illnesses listed in the DSM-5 has been documented over the same 8-year period. This threefold surge in autism diagnoses corresponds to the development of the autism spectrum disorder (ASD) umbrella category in 2013, which now encompasses a wide range of confusingly comparable illnesses. As a result, it appears that 75% of persons labelled with ASD may not be autistic. If that's the case, current research on the genetic causes and dangers of autism seems suspect. There's no way of knowing if the links discovered by researchers are related to autism or to other illnesses.

Author (S) Details

David Rowland

Independent Researcher, Canada

View Book :- https://stm.bookpi.org/RDMMR-V5/article/view/4194