This document summarizes research on the browning of white adipose tissue by gut microbiota. It describes white adipose tissue and its functions, as well as gut microbiota and their impact on host metabolism. Specifically, it discusses how gut microbiota modulate white adipose tissue through the production of metabolites and components that promote browning. Studies in mice found that microbiota depletion increased browning, while certain bacteria and their short chain fatty acid products were linked to higher browning and improved metabolic outcomes in mice and some human studies. The document reviews various mechanisms and factors involved in the relationship between gut microbiota and white adipose tissue browning.
substances released by one microorganism, stimulating the growth of another microorganism.”Live microbial supplements which beneficially affects the host animal by improving it’s microbial balance.”
Microbiota, leaky gut syndrome and gut-related diseasesMaurizio Salamone
Lecture on "Microbiota, Leaky gut Syndrome and gut-related disease" at the 7° International workshop on Immunonutrition "Eating for preventing" Carovigno (BA) May 1st-3th 2014
substances released by one microorganism, stimulating the growth of another microorganism.”Live microbial supplements which beneficially affects the host animal by improving it’s microbial balance.”
Microbiota, leaky gut syndrome and gut-related diseasesMaurizio Salamone
Lecture on "Microbiota, Leaky gut Syndrome and gut-related disease" at the 7° International workshop on Immunonutrition "Eating for preventing" Carovigno (BA) May 1st-3th 2014
Diabetes mellitus (DM):- It is a metabolicdisorder characterized by hyperglycaemia, (fasting plasma glucose ≥ 126 mg/dl and/or ≥ 200 mg/dl 2 hours after 75 g oral glucose),glycosuria, hyperlipidaemia, negative nitrogen balance and sometimes ketonaemia.
Diabetes mellitus, one of the major public health problems worldwide, is a metabolic disorder of multiple etiologies distinguished by a failure of glucose homeostasis with disturbances of carbohydrate, fat and protein metabolism as a result of defects in insulin secretion and/or insulin action.
According to International Diabetes Federation (IDF) report, elevated blood glucose is the third uppermost risk factor for premature mortality, following high blood pressure and tobacco use globally
Cardiovascular diseases, neuropathy, nephropathy, and retinopathy are among the major risks that are associated with diabetes.These chronic complications may lead to hardening and narrowing of arteries (atherosclerosis) that could advance to stroke, coronary heart disease, and other blood vessel diseases, nerve damage, kidney failure, and blindness with time
Two major types of diabetes mellitus are
1. Insulin-dependent diabetes mellitus (IDDM) / juvenile onset diabetes mellitus
2. Noninsulin-dependent diabetes mellitus (NIDDM) / maturity onset diabetes mellitus
Insulin-dependent diabetes mellitus (IDDM) / juvenile onset diabetes mellitus
There is β cell destruction in pancreatic islets; majority of cases are autoimmune (type 1A) antibodies that destroy β cells are detectable in blood, but some are idiopathic (type 1B)-no βcell antibody is found.
2.Noninsulin-dependent diabetes mellitus (NIDDM) / maturity onset diabetes mellitus
Type 2 diabetes mellitus (T2DM) is the most prevalent metabolic disease worldwide.
There is no loss or moderate reduction in β cell mass: insulin in circulation is low. normal or even high. no anti-β -cell antibody is demonstrable: has a high degree of genetic predisposition: generally has a late onset (past middle age). Over 90% cases of diabetes are type 2 DM
Abnormality in gluco-receptor of β cells so that they respond at higher glucose concentration or relative β cell deficiency. In either way. insulin secretion is impaired: may progress to β cells failure.
Reduced sensitivity of peripheral tissues to insulin: reduction in number of insulin receptors, “down regulation” of insulin receptors.
Insulin history:
Insulin was discovered in 1921 by Banting and Best who demonstrated the hypoglycaemic action of an extract of pancreas prepared after degeneration of the exocrine part due to ligation of pancreatic duct.
It was first obtained in pure crystalline form in 1926 and the chemical structure was fully worked out in 1956 by Sanger.
Insulin is a two chain polypeptide having 51 amino acids and MW about 6000.
The A-chain has 21 while B-chain has 30 amino acids.
Insulin is synthesized in the β cells of pancreatic islets as a single chain peptide Preproinsulin (110 AA) from which
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Diabetes mellitus (DM):- It is a metabolicdisorder characterized by hyperglycaemia, (fasting plasma glucose ≥ 126 mg/dl and/or ≥ 200 mg/dl 2 hours after 75 g oral glucose),glycosuria, hyperlipidaemia, negative nitrogen balance and sometimes ketonaemia.
Diabetes mellitus, one of the major public health problems worldwide, is a metabolic disorder of multiple etiologies distinguished by a failure of glucose homeostasis with disturbances of carbohydrate, fat and protein metabolism as a result of defects in insulin secretion and/or insulin action.
According to International Diabetes Federation (IDF) report, elevated blood glucose is the third uppermost risk factor for premature mortality, following high blood pressure and tobacco use globally
Cardiovascular diseases, neuropathy, nephropathy, and retinopathy are among the major risks that are associated with diabetes.These chronic complications may lead to hardening and narrowing of arteries (atherosclerosis) that could advance to stroke, coronary heart disease, and other blood vessel diseases, nerve damage, kidney failure, and blindness with time
Two major types of diabetes mellitus are
1. Insulin-dependent diabetes mellitus (IDDM) / juvenile onset diabetes mellitus
2. Noninsulin-dependent diabetes mellitus (NIDDM) / maturity onset diabetes mellitus
Insulin-dependent diabetes mellitus (IDDM) / juvenile onset diabetes mellitus
There is β cell destruction in pancreatic islets; majority of cases are autoimmune (type 1A) antibodies that destroy β cells are detectable in blood, but some are idiopathic (type 1B)-no βcell antibody is found.
2.Noninsulin-dependent diabetes mellitus (NIDDM) / maturity onset diabetes mellitus
Type 2 diabetes mellitus (T2DM) is the most prevalent metabolic disease worldwide.
There is no loss or moderate reduction in β cell mass: insulin in circulation is low. normal or even high. no anti-β -cell antibody is demonstrable: has a high degree of genetic predisposition: generally has a late onset (past middle age). Over 90% cases of diabetes are type 2 DM
Abnormality in gluco-receptor of β cells so that they respond at higher glucose concentration or relative β cell deficiency. In either way. insulin secretion is impaired: may progress to β cells failure.
Reduced sensitivity of peripheral tissues to insulin: reduction in number of insulin receptors, “down regulation” of insulin receptors.
Insulin history:
Insulin was discovered in 1921 by Banting and Best who demonstrated the hypoglycaemic action of an extract of pancreas prepared after degeneration of the exocrine part due to ligation of pancreatic duct.
It was first obtained in pure crystalline form in 1926 and the chemical structure was fully worked out in 1956 by Sanger.
Insulin is a two chain polypeptide having 51 amino acids and MW about 6000.
The A-chain has 21 while B-chain has 30 amino acids.
Insulin is synthesized in the β cells of pancreatic islets as a single chain peptide Preproinsulin (110 AA) from which
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The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
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BROWNING OF WHITE ADIPOSE TISSUE BY GUT-MICROBIOTA.pdf
1. BROWNING OF WHITE ADIPOSE
TISSUE BY GUT-MICROBIOTA
BY
PALADI RAMYA
2020MSSB007
M.SC SPORTS BIOCHEMISTRY
CENTRAL UNIVERSITY OF RAJASTHAN
UNDER GUIDANCE OF
Dr. SHAILENDRA PRATAP SINGH
2. WHITE ADIPOSE TISSUE
White adipose tissue (WAT) refers to a type of loose connective tissue
composed of white, lipid-filled cells.
*WAT is the most common type of adipose tissue in the body. 20% of the
total weight of a man is White adipose tissue.
* Theyhave receptorsfor insulin, sex hormones, nor epinephrine,
and glucocorticoids.
* White adipose tissue isused for energystorage. Upon releaseof
insulin fromthepancreas, white adiposecells' insulin receptorscause a
dephosphorylation cascadethat leadstothe inactivation of hormone-
sensitive lipase.
Trigger
Glucagon Glycogenolysis and glucogenesis
(in liver)
*The triggers for this process in white adipose tissue is adrenocarticotropic
harmone, adrenaline and noradrenaline.
3. • The hormone leptin is primarily manufactured in the adipocytes of white
adipose tissue, which also produces another hormone, asprosin.
• DEVELPOMENT:-
In humans, white adipose tissue starts to develop during early to mid-
gestation period.
* White adipose tissue consists of white adipocytes, which are the lipid
storage cells. They are differentiated from undifferentiated preadipocytes
through transcriptional cascade.
*This process is regulated by the nuclear receptor peroxisome proliferator-
activated receptor γ (PPARγ), a protein regulating gene involved in
regulation of fatty acid storage and glucose metabolism and members of
the CCAAT/enhancer-bindingprotein family, type of transcription
factors that promotes gene expression.
* PPARγ is required for both the adipogenesis and maintenance of the
adipocytes.
4.
5. GUT-MICROBIOTA
• Gut microbiota are the microorganisms including bacteria, and archaea that
live in the digestive tracts of vertebrates including human and insects.
*The gastrointestinal metagenome (sometimes defined as the microbiome) is
the aggregate of all the genomes of gut microbiota.
*In the human, the gut is the main location of human microbiota.
• The gut microbiota has broad impacts,
1. Including effects on colonization,
2. Resistance to pathogens,
3. Maintaining the intestinal epithelium,
4. Metabolizing dietary and pharmaceutical compounds,
5. Controllingimmune function, and
6. Even behavior through the gut-brain axis.
EXAMPLES OF GUT MICROBIOTA:- Bacteroides fragilis, Bacteroides
melaninogenicus, Enterobacter sp. Pseudomonas aeruginosa, Faecalibacterium
prausnitzii, Peptococcus sp. Peptostreptococcus sp.etc.,
6. THE MAIN BACTERIAL PHYLA IN GUT ARE 6:-
• 1. Firmicutes (gram positive){ex- colistridium, mycoplasma and
bacillus}.
2.Bacteroidetes(gram negative){bacteroides and prevotella}.
3.Actinobacteria (gram-positive){bifidobacterium}.
4. Proteobacteria
5.Verrucomicrobia
6. Fusobacteria.
7.
8. GUT MICROBIOTA ON WHITE ADIPOSE TISSUE
*Gut microbiota is an important modulator of host metabolic
homeostasis and energy balance.
*Gut microbiota activity results in the production of specific
microbial-derived metabolites (short-chain fatty acids) and structural
components (LPS and peptidoglycans), named postbiotic components.
*The gut microbiota is also an important endogenous factor
modulating BAT activity and browning of WAT.
*Microbiota depletion promoted the development of functional WAT
browning in subcutaneous and visceral fat depots, increasing
expression of brown fat markers (Ucp1, Cidea, Pgc1a, Ppara).
10. • EFFECTS OF INTERMITTENT FASTING:-
*The importance of gut microbiota on caloric restriction-metabolic
improvement demonstrating compositional and functional changes in
gut microbiota that were required to promote browning of WAT
and associated metabolic improvements.
*During caloric restriction, reduced LPS atten- uated inflammatory
process in WAT, increasing browning and insulin sensitivity, whereas
the reconstitution of LPS prevented these positive effects on
metabolism.
*In fact, geneteic and pharmacological depletion of LPS-TLR4
signalling pathway resulted in decreased WAT inflammation in
parallel to increased WAT browning, and improved insulin sensitivity
and hepatic steatosis .
11.
12. Gut microbiota - WAT browning relationship in humans
• In obese pa- tients, Firmicutes family Ruminococcaceae, which is also in-
creased after cold exposure, was associated with elevated plasma acetate
levels, and was positively linked to the expres- sion of PRDM16,a marker
of beige/brown adipocytes, in subcutaneousWAT and insulinsensitivity .
*Acetate in- creases the activity of brown fat and induces the formation of
“beiges adipocytes”.
*An important consideration in humans is the extremely low expression of
brown/beige adipose tissue markers, indicating that browning of WAT in
humans may have less relevance than in mice
*In fact, the positive effects of diet-induced weight loss were not associat-
ed with the expression of brown/beige-related genes in human subcutaneous
WAT [94].