- Alcohol is metabolized in the liver by alcohol dehydrogenase and acetaldehyde dehydrogenase. When too much alcohol is consumed, these enzymes can become saturated, leading to a buildup of the toxic acetaldehyde.
- Acetaldehyde can damage biomolecules and tissues like neurons. It is also responsible for many of alcohol's effects. A buildup can cause nausea and vomiting and Asian flush syndrome in some people.
- Consuming too much alcohol increases fatty acid biosynthesis and cholesterol synthesis, which can lead to fatty liver disease. It also increases NADH levels and decreases NAD+, altering metabolism and potentially causing issues like lactic acidosis, hypoglycemia, and fatty deposits in tissues.
GLYCOGEN STORAGE DISEASE , GSD , Von Gierke DiseaseRAHUL KATARIA
Detailed presentation about glycogen storage disease.
description about all types of GSDs like .
1. GSD I
2.GSD III
3. GSD IV
4. GSD VI
5. GSD IX
6. GSD 0
Alcoholic liver disease is a result of over-consuming alcohol that damages the liver, leading to a buildup of fats, inflammation, and scarring. It can be fatal.
A mbbs 1st year presentation about alcohol metabolism that covers some about alcohols effect its elimination in body
It's long term effect of body and internal redox environment created by it
And lastly about methanol poisoning
And it's treatment
GLYCOGEN STORAGE DISEASE , GSD , Von Gierke DiseaseRAHUL KATARIA
Detailed presentation about glycogen storage disease.
description about all types of GSDs like .
1. GSD I
2.GSD III
3. GSD IV
4. GSD VI
5. GSD IX
6. GSD 0
Alcoholic liver disease is a result of over-consuming alcohol that damages the liver, leading to a buildup of fats, inflammation, and scarring. It can be fatal.
A mbbs 1st year presentation about alcohol metabolism that covers some about alcohols effect its elimination in body
It's long term effect of body and internal redox environment created by it
And lastly about methanol poisoning
And it's treatment
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...
Alcohol metabolism
1.
2. • Alcohol, ie. Ethanol is a drug. It has high
energy content, yielding about 7.1 kcal/g on
oxidation.
• Liver is the major site of ethanol oxidation.
• 5% alcohol absorbed in mouth and esophagus
and 95% in portal circulation and from here,
goes to the liver, where alcohol gets
metabolized.
3.
4. • Alcohol dehydrogenase (cytoplasmic enzyme) has
higher affinity for alcohol, means km value low.
• So, if a person drinks too much alcohol, all the
enzymes gets saturated and ethanol is not
converted to acetyl coA and there is
accumulation of acetylaldehyde.
• Now, acetylaldehyde gets out from the cytoplasm
into blood and from blood, they enter into tissues
of any kind, especially neurons.
• Effect of alcohol is mainly based on the action of
acetylaldehyde.
5. • Acetylaldehyde is toxic molecule and damage
most of the biomolecules in our body, i.e.
DNA/RNA/ proteins.
• And when acetylaldehyde is converted into
acetyl- coA and also NAD is converted into
NADH+H, alters all the metabolism in cells and
shortage of NAD.
• Some of the acetate is converted into the acetyl-
coA with the help of enzyme acetyl-coA
synthetase and some of the acetate in blood goes
to the peripheral tissues where it is converted
into acetyl-coA.
6. • And this acetyl-coA is used for energy
purpose/ fatty acid biosynthesis/ cholesterol
synthesis.
• If a person takes too much alcohol, fatty acid
biosynthesis and cholesterol synthesis
increases and it gives rise to fatty liver disease.
• If there is deficient of enzyme acetylaldehyde
dehyrogenase, there is accumulation of
acetylaldehyde, which can be toxic and give
rise to nausea and vomiting and called as
Asian flush syndrome.
• Mostly seen in Chinese and Korean.
7. • Excess intake of alcohol leads to excessive
production of NADH, with a concomitancy
decrease in NAD+, produces metabolic
changes as follows:
1. Increased lactic acid production also can
result in hyperlactacidemia. The
hyperlactacidemia reduces the capacity of
the kidney to excrete uric acid, leading to
secondary hyperuricemia and causes
aggravation of gout.
8. • The increased availability of NADH favors the
reduction of pyruvate to lactate and oxaloacetate
to malate and decreasing its availability for
gluconeogensis and decreased synthesis of
glucose. This can lead to hypoglycemia.
• The increased ratio of NADH/NAD also inhibit
oxidation of fatty acids and citric acid cycle and
promotes lipogenesis and cholesterol synthesis
from acetyl-coA.
• Accumulation of lipid in most tissues results in
fatty liver, fatty renal tubules.
• The drug called disulfiram, going to inhibit the
activity of acetylaldehyde dehydrogenase