This document summarizes the results of an experiment measuring the molecular changes in cells exposed to either acute or gradual environmental changes in hypertonicity. The study found that 1) acute increases in hypertonicity activated caspase signaling and caused cell death, while gradual increases did not activate caspase signaling. 2) Gradual increases instead caused accumulation of proline, which protects cells from death during hypertonic stress. 3) Proline may explain how immune cells can survive in environments within the body where osmolarity changes over time, such as the renal papilla or intestine.
Regulation of gene expression in prokaryotes and virusesNOOR ARSHIA
Regulation of gene expression in prokaryotes and viruses includes gene expression mechanism of prokaryotes such as lac operon ,trp operon, feedback inhibition, types of temporal response, positive and negative gene regulation. It also includes mechanisms such as reverse transcriptase in viruses.
Regulation of gene expression in prokaryotes and virusesNOOR ARSHIA
Regulation of gene expression in prokaryotes and viruses includes gene expression mechanism of prokaryotes such as lac operon ,trp operon, feedback inhibition, types of temporal response, positive and negative gene regulation. It also includes mechanisms such as reverse transcriptase in viruses.
Polymorphism affecting Drug Metabolism.pptxAnagha R Anil
Genetic polymorphisms can profoundly influence drug metabolism, impacting how medications are processed in the body. Variations in genes encoding drug-metabolizing enzymes, like cytochrome P450 (CYP) enzymes, can lead to differences in drug efficacy and safety among individuals. This presentation provides a concise overview of how polymorphisms affect drug metabolism.
Quantification of a Novel Peptide, CPT31 in Rat and Monkey Plasma by LC-MSCovance
ASMS 2019 -- CPT31, a novel D-peptide, is being investigated in the treatment and prevention of HIV by inhibiting the viral entry of HIV. To evaluate the properties of CPT31, an accurate highly reproducible method to quantitate CPT31 in plasma was required. To this end, a robust LC-MS assay for the quantification of CPT31 in rat and monkey plasma samples is reported here. The method follows extraction and clean-up of two plasma matrices, encompasses a range of 90.0 to 45,000 ng/mL, and completes LC-MS analysis in 7.50 minutes.
Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, S...Oleg Kshivets
RESULTS: Overall life span (LS) was 2252.1±1742.5 days and cumulative 5-year survival (5YS) reached 73.2%, 10 years – 64.8%, 20 years – 42.5%. 513 LCP lived more than 5 years (LS=3124.6±1525.6 days), 148 LCP – more than 10 years (LS=5054.4±1504.1 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (78.1% vs.63.7%, P=0.00001 by log-rank test). AT significantly improved 5YS (66.3% vs. 34.8%) (P=0.00000 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3, histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.038). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0—N12 (rank=2), thrombocytes/CC (3), erythrocytes/CC (4), eosinophils/CC (5), healthy cells/CC (6), lymphocytes/CC (7), segmented neutrophils/CC (8), stick neutrophils/CC (9), monocytes/CC (10); leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0).
CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) LC cell dynamics; 10) surgery type: lobectomy/pneumonectomy; 11) anthropometric data. Optimal diagnosis and treatment strategies for LC are: 1) screening and early detection of LC; 2) availability of experienced thoracic surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for LCP with unfavorable prognosis.
Polymorphism affecting Drug Metabolism.pptxAnagha R Anil
Genetic polymorphisms can profoundly influence drug metabolism, impacting how medications are processed in the body. Variations in genes encoding drug-metabolizing enzymes, like cytochrome P450 (CYP) enzymes, can lead to differences in drug efficacy and safety among individuals. This presentation provides a concise overview of how polymorphisms affect drug metabolism.
Quantification of a Novel Peptide, CPT31 in Rat and Monkey Plasma by LC-MSCovance
ASMS 2019 -- CPT31, a novel D-peptide, is being investigated in the treatment and prevention of HIV by inhibiting the viral entry of HIV. To evaluate the properties of CPT31, an accurate highly reproducible method to quantitate CPT31 in plasma was required. To this end, a robust LC-MS assay for the quantification of CPT31 in rat and monkey plasma samples is reported here. The method follows extraction and clean-up of two plasma matrices, encompasses a range of 90.0 to 45,000 ng/mL, and completes LC-MS analysis in 7.50 minutes.
Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, S...Oleg Kshivets
RESULTS: Overall life span (LS) was 2252.1±1742.5 days and cumulative 5-year survival (5YS) reached 73.2%, 10 years – 64.8%, 20 years – 42.5%. 513 LCP lived more than 5 years (LS=3124.6±1525.6 days), 148 LCP – more than 10 years (LS=5054.4±1504.1 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (78.1% vs.63.7%, P=0.00001 by log-rank test). AT significantly improved 5YS (66.3% vs. 34.8%) (P=0.00000 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3, histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.038). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0—N12 (rank=2), thrombocytes/CC (3), erythrocytes/CC (4), eosinophils/CC (5), healthy cells/CC (6), lymphocytes/CC (7), segmented neutrophils/CC (8), stick neutrophils/CC (9), monocytes/CC (10); leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0).
CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) LC cell dynamics; 10) surgery type: lobectomy/pneumonectomy; 11) anthropometric data. Optimal diagnosis and treatment strategies for LC are: 1) screening and early detection of LC; 2) availability of experienced thoracic surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for LCP with unfavorable prognosis.
Mastering Wealth: A Path to Financial FreedomFatimaMary4
### Understanding Wealth: A Comprehensive Guide
Wealth is a multifaceted concept that extends beyond mere financial assets. It encompasses a range of elements including money, investments, property, and other valuable resources. However, true wealth also includes non-material aspects such as health, relationships, and personal fulfillment. This guide delves into the various dimensions of wealth, exploring how it can be created, sustained, and enjoyed.
#### Defining Wealth
Traditionally, wealth is defined as the abundance of valuable resources or material possessions. It includes financial assets like cash, savings, stocks, bonds, and real estate. However, a broader understanding of wealth considers factors such as personal well-being, emotional health, social connections, and intellectual growth. This holistic view recognizes that true wealth is not solely about accumulating money but also about enhancing one's quality of life.
#### The Importance of Financial Wealth
Financial wealth remains a critical component of overall wealth. It provides security, freedom, and the ability to pursue opportunities. Key elements of financial wealth include:
1. **Savings**: Money set aside for future use. It is crucial for emergencies, large purchases, and financial goals.
2. **Investments**: Assets purchased with the expectation that they will generate income or appreciate over time. Common investments include stocks, bonds, mutual funds, real estate, and businesses.
3. **Income**: Regular earnings from work, investments, or other sources. Consistent income is essential for maintaining and growing wealth.
4. **Debt Management**: Effectively managing debt ensures that it does not erode financial wealth. This includes paying off high-interest debt and using credit wisely.
#### Creating Wealth
Creating wealth involves generating and accumulating financial and non-financial resources. The process can be broken down into several key strategies:
1. Education and Skill Development: Investing in education and skills enhances earning potential. Higher education, professional certifications, and continuous learning can lead to better job opportunities and higher salaries.
2. Entrepreneurship: Starting and running a successful business can be a significant source of wealth. Entrepreneurship requires innovation, risk-taking, and effective management.
3. Investing: Making smart investments is essential for wealth creation. This involves understanding different types of investments, assessing risks, and making informed decisions. Diversifying investments can reduce risk and increase potential returns.
4. Saving and Budgeting: Effective saving and budgeting help accumulate wealth over time. Setting financial goals, creating a budget, and sticking to it are foundational steps in wealth creation.
5. Real Estate: Investing in property can provide rental income and capital appreciation. Real estate is a tangible asset that can hedge against inflation
TEST BANK For Wong’s Essentials of Pediatric Nursing, 11th Edition by Marilyn...kevinkariuki227
TEST BANK For Wong’s Essentials of Pediatric Nursing, 11th Edition by Marilyn Hockenberry, Cheryl Rodgers, Verified Chapters 1 - 31, Complete Newest Version.pdf
TEST BANK For Wong’s Essentials of Pediatric Nursing, 11th Edition by Marilyn Hockenberry, Cheryl Rodgers, Verified Chapters 1 - 31, Complete Newest Version.pdf
TEST BANK For Williams' Essentials of Nutrition and Diet Therapy, 13th Editio...kevinkariuki227
TEST BANK For Williams' Essentials of Nutrition and Diet Therapy, 13th Edition Schlenker & Gilbert, Verified Chapters 1 - 25, Complete Newest Version.pdf
TEST BANK For Williams' Essentials of Nutrition and Diet Therapy, 13th Edition Schlenker & Gilbert, Verified Chapters 1 - 25, Complete Newest Version.pdf
Report Back from SGO 2024: What’s the Latest in Cervical Cancer?bkling
Are you curious about what’s new in cervical cancer research or unsure what the findings mean? Join Dr. Emily Ko, a gynecologic oncologist at Penn Medicine, to learn about the latest updates from the Society of Gynecologic Oncology (SGO) 2024 Annual Meeting on Women’s Cancer. Dr. Ko will discuss what the research presented at the conference means for you and answer your questions about the new developments.
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Couples presenting to the infertility clinic- Do they really have infertility...Sujoy Dasgupta
Dr Sujoy Dasgupta presented the study on "Couples presenting to the infertility clinic- Do they really have infertility? – The unexplored stories of non-consummation" in the 13th Congress of the Asia Pacific Initiative on Reproduction (ASPIRE 2024) at Manila on 24 May, 2024.
New Directions in Targeted Therapeutic Approaches for Older Adults With Mantl...i3 Health
i3 Health is pleased to make the speaker slides from this activity available for use as a non-accredited self-study or teaching resource.
This slide deck presented by Dr. Kami Maddocks, Professor-Clinical in the Division of Hematology and
Associate Division Director for Ambulatory Operations
The Ohio State University Comprehensive Cancer Center, will provide insight into new directions in targeted therapeutic approaches for older adults with mantle cell lymphoma.
STATEMENT OF NEED
Mantle cell lymphoma (MCL) is a rare, aggressive B-cell non-Hodgkin lymphoma (NHL) accounting for 5% to 7% of all lymphomas. Its prognosis ranges from indolent disease that does not require treatment for years to very aggressive disease, which is associated with poor survival (Silkenstedt et al, 2021). Typically, MCL is diagnosed at advanced stage and in older patients who cannot tolerate intensive therapy (NCCN, 2022). Although recent advances have slightly increased remission rates, recurrence and relapse remain very common, leading to a median overall survival between 3 and 6 years (LLS, 2021). Though there are several effective options, progress is still needed towards establishing an accepted frontline approach for MCL (Castellino et al, 2022). Treatment selection and management of MCL are complicated by the heterogeneity of prognosis, advanced age and comorbidities of patients, and lack of an established standard approach for treatment, making it vital that clinicians be familiar with the latest research and advances in this area. In this activity chaired by Michael Wang, MD, Professor in the Department of Lymphoma & Myeloma at MD Anderson Cancer Center, expert faculty will discuss prognostic factors informing treatment, the promising results of recent trials in new therapeutic approaches, and the implications of treatment resistance in therapeutic selection for MCL.
Target Audience
Hematology/oncology fellows, attending faculty, and other health care professionals involved in the treatment of patients with mantle cell lymphoma (MCL).
Learning Objectives
1.) Identify clinical and biological prognostic factors that can guide treatment decision making for older adults with MCL
2.) Evaluate emerging data on targeted therapeutic approaches for treatment-naive and relapsed/refractory MCL and their applicability to older adults
3.) Assess mechanisms of resistance to targeted therapies for MCL and their implications for treatment selection
7. Results
2. A functional temporal screen identifies
regulators of cell viability in step and ramp
conditions.
• 27 well-established and validated markers of cell state and signaling that
contribute to cell viability.
8. Results
2. A functional temporal screen identifies
regulators of cell viability in step and ramp
conditions.
9. Results
2. A functional temporal screen identifies
regulators of cell viability in step and ramp
conditions.
11. • Activation of the initiator caspases 8
(magenta) and 9 (cyan) after caspase 3
and cPARP.
• These results suggest that caspase 3
contributes to the induction of apoptosis
but not cleaved caspases 8 and 9.
3. Caspases differentially regulate step
and ramp conditions. Results
15. Summary
• Step increases in hypertonicity activate caspase signaling,
PARP cleavage, and cause cell death.
• In contrast, slowly increasing hypertonicity did not
activate caspase signaling but instead caused
accumulation of intracellular proline.
• Proline is known to be up-regulated during hypertonic
stress in plants and bacteria and to have an
osmoprotective function.
• Proline has an underestimated and critical role in
protecting human cells from cell death in hypertonic
conditions and could explain how immune cells can
survive in microenvironments within the body that have
extreme osmolarities that change over time such as the
renal papilla or the intestine.
Editor's Notes
Why:
This paper has attracted me since I’m interested in the salt’s mechanisms in affecting the viability and function of cells. And what attracted me is the specific conditions they used in this article like the osmolarity material which is salt and and the immune cell lines used so I can have an overview on how salt can affect immune cells viability?
Is it an osmolarity effect or the salt toxicity .
INTRODUCTION
All cells use signal transduction pathways to respond to physiologically relevant changes in extracellular stressors, nutrient levels, hormones, and morphogens. These environments vary as functions of both concentration and time in healthy and diseased states (1).
Cell signaling and cell fate responses to the environment are commonly studied using acute concentration changes (1). Only a few pioneering studies have explored the effects of the concentration and time, which is a gradual change of stimuli as a function of time on cell signaling. We address this lack in knowledge by thoroughly measuring molecular changes in cells exposed to gradual environmental changes.
To begin to understand how the rate of environmental change regulates human cell fate decisions, they systematically expose cells to varying temporal profiles of increasing NaCl concentrations. NaCl is a ubiquitous osmolyte in the human body and causes cells to experience hypertonic stress at concentrations that change over time . While all tissues can experience increased NaCl concentrations in their microenvironment, measurements of osmolytes in the kidney have revealed very high physiological NaCl concentrations (5). Hypertonicity changes over time are also known to occur in the intestinal system (7), the cerebrovascular discs (8), and the skin (9).
In many of these high osmolarity tissues, resident immune cells provide basal protection or require migration upon an immune response of additional immune cells (10). Therefore, immune cells need to have the ability to survive such harsh high osmolarity environments that change over time. We choose immune cells as a model to systematically investigate how both rapidly and slowly increasing hypertonic yet physiological environments affect cell survival, signaling, and metabolism.
They compared cell viability, cell signaling, and metabolism in cells exposed to either linear (ramp) or acute (step) concentration changes in the environments in which the final concentration and the total amount of osmotic stress [area under the curve (AUC)] is identical
Thye identified the dynamic range of cell viability by determining the tolerance of monocytes (THP1 cell line, male, and acute monocytic leukemia), T cells (Jurkat, male, and acute T cell leukemia), and cervical cells [HeLa, female, and cervical adenocarcinoma (11)] to step increases in NaCl concentrations (Fig. 1B).
To distinguish the effect on cell viability between NaCl toxicity and changes in external osmolarity, they repeated the experiments with mannitol in the Jurkat cell line at the same osmolar concentrations [Fig. 1, C and D (dark gray), and fig. S1D]. Mannitol is not able to easily pass through the cell membrane and is known to have low cell toxicity.
This comparison shows no difference between cells treated with NaCl or mannitol, indicating that extracellular hypertonicity and not NaCl-specific toxicity drives these effects. These results strongly suggest that cell viability improvements while slowly increasing NaCl concentration are a robust cell type– and cell line–independent hypertonic stress response.
Authors of previous studies argued that up-regulation of genes encoding proteins responsible for the accumulation of cell internal osmolytes such as taurine (TauT), betaine (BGT1), sorbitol (AR), and inositol (SMIT) is the cause for improved viability in kidney cells exposed to a linear increase in osmolarity (12). To address whether indeed these osmolytes are increased in our experiments, we determined the change in osmolyte levels in the cell by mass spectrometry measured in 5-hour step and 10-hour ramp conditions both to a final osmolarity of additional 300 mosmol/liter NaCl. We found that sorbitol, inositol, betaine, taurine, and urea do not change compared to unstimulated cells.
To understand which cellular mechanisms contribute to improved viability during the slow ramp, we performed a temporal functional
screen using a selected set of 27 well-established and validated markers of cell state and signaling that contribute to cell viability (Fig. 2B).
We grouped these into four cellular processes known to have an impact on cellular viability: stress signaling (blue), caspase signaling
(magenta), DNA damage (orange), and growth/survival and inflammation (green) (Fig. 2B). Each of these processes is known to be affected by increased NaCl concentrations (4).
They used fluorescent cell barcoding for multiplex quantitative flow cytometry to identify differentially regulated markers over time in step or ramp conditions (27). This functional temporal screen allows us to uniquely encode each time point sample with a combination of two dye concentrations. They pooled barcoded samples and then split them again into different tubes to stain each split sample with specific antibodies.
Using this approach, we screened protein markers in Jurkat cells for their change over time in step versus 10 hours of ramp experiments to an additional concentration of 300 mosmol/liter NaCl. After data collection, we demultiplexed each sample with one or two protein markers to extract the individual time points (Fig. 2, C and D). To quantify each marker’s response, we next computed the fraction of positive cells for this marker and called this population “ON-fraction” (Fig. 2, D and E). We then plotted the ON-fraction of each marker at the end of the time course experiment between the ramp and the step treatment to understand the correlation between the markers in each group.
With multiple sizes of beads and multiple levels of fluorescence intensity in each bead size,the multiplex technology can measure up to up to 27 analytes simultaneously in a single reaction.
This analysis revealed several distinct response patterns: (i) they observed strong activation in step but not ramp condition of proteins of the caspase signaling group and p38 of the stress signaling group (Fig. 2G and fig. S2). (ii) they observed minimal activation in step but strong activation in ramp conditions for some markers of stress response (pASK, NFAT5, and HSP70) [Fig. 2G (blue) and fig. S3], growth (Ki67), antiapoptotic (Bcl-XL), inflammation (IFN and NLRP3) [Fig. 2H (green) and fig. S4], and markers of DNA damage [Fig. 2H (orange) and fig. S5]. (iii) A screen for other markers of cell survival, growth, and DNA damage reveals no substantial differential changes over time. On the basis of this temporal functional screen, they focused on protein markers of the caspase signaling group.
Activated caspases 3, 8, 9, cPARP, and H2AX all showed strong activation (ON-fraction) during the 300 mosmol/liter NaCl step treatment [Fig. 3
To test whether the time of exposure to the final concentration is critical for caspase-dependent apoptosis, we measured caspase activation for 5 hours after the 10-hour ramp. These results demonstrate that caspases and PARP cleavage are not activated after the ramp supporting our hypothesis that ramp treatment prevents caspase activation.
To better understand the induction of caspase-mediated apoptosis during step increase of NaCl, we added 200 and 400 mosmol/liter NaCl as a 5-hour step and measured caspase 3 and cPARP activation After adding 400 mosmol/liter NaCl, we see a stronger induction of caspase 3 activation and PARP cleavage [fig. S2, K and L (gray lines)], explaining the strongly reduced viability observed for this condition
Next, they investigated the contributions of caspases 3, 8, and 9 to the cell viability phenotype by quantifying the time course of activation for each member of the caspase signaling group relative to cleavage of PARP (Fig. 3F). We found that caspase 3 (gray) is activated slightly before its target cPARP (purple), as expected (Fig. 3F). Unexpectedly, we found activation of the initiator caspases 8 (magenta) and 9 (cyan) after caspase 3 and cPARP. These results suggest that caspase 3 contributes to the induction of apoptosis but not cleaved caspases 8 and 9.
We next tested whether these different caspases contributed to cell viability and addressed their mechanism in an attempt to link dynamics in caspase activation to apoptosis and cell phenotype (Fig. 4E).
In our ramp treatment condition to additional 300 mosmol/liter NaCl in 10 hours, we found that cell viability increases about twoto threefold to 40% in comparison to 15% in step treatment of the same final concentration and the total amount of NaCl relative to cells grown in control conditions (100% viability).
We asked whether this increase in viability is entirely related to the lack of caspase activation and PARP cleavage, as observed in Figs. 3 and 4. To test this idea, we treated cells with a step of 300 mosmol/liter NaCl in the presence of different, potent pancaspase inhibitors
To better understand the protective mechanisms contributing to improved viability during the ramp condition, they analyzed the abundance and fold changes of metabolites that may function as cell internal osmolytes (Fig. 6A and fig. S7). We found that among the most abundant metabolites are the amino acid proline, glutamic acid, and arginine. Of these amino acids, only proline is differentially regulated in step and ramp conditions,
We then tested whether intracellular proline levels are independent of the activation of the caspase pathway or whether preventing caspase-mediated cell death results in higher levels of proline in the cells. In these experiments, we exposed cells to a step treatment of NaCl with or without pan-caspase inhibitor Z-VADFMK (Fig. 6B). As in previous experiments, we exposed cells to the same cumulative exposure of NaCl for the same final NaCl concentration and compared the results. We found that regardless of pan-caspase inhibition, cells accumulated significantly less proline during the step treatment than cells exposed to the ramp treatment (Fig. 6B). We conclude that caspase inhibition during hypertonic stress does not result in additional proline accumulation during the step treatment. This result indicates that caspase activation and proline accumulation are independent.
In summary, they proposed a model in which step increases in hypertonicity activate caspase signaling, PARP cleavage, and cause cell death. In contrast, slowly increasing hypertonicity did not activate caspase signaling but instead caused accumulation of intracellular proline.
Proline functions as an organic osmolyte, molecular chaperone, metal chelator, and reactive oxygen species scavenger independent of caspase activation. These properties make proline an efficient stress response molecule. So here they argue that proline has an underestimated and critical role in protecting human cells from cell death in hypertonic conditions and could explain how immune cells can survive in microenvironments within the body that have extreme osmolarities that change over time such as the renal papilla or the intestine.