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Article ; Online: Aldosterone in chronic kidney disease and renal outcomes.

Verma, Ashish / Vaidya, Anand / Subudhi, Sonu / Waikar, Sushrut S

2023 Volume 43, Issue 38, Page(s) 3781–3791

Abstract: Aims: Randomized controlled trials have demonstrated the efficacy of mineralocorticoid receptor (MR) antagonism in delaying chronic kidney disease (CKD) progression in diabetes; however, they have not investigated the role of aldosterone or whether ... ...

Abstract	Aims: Randomized controlled trials have demonstrated the efficacy of mineralocorticoid receptor (MR) antagonism in delaying chronic kidney disease (CKD) progression in diabetes; however, they have not investigated the role of aldosterone or whether these beneficial effects could be achieved in individuals without diabetes. Methods and results: The association between serum aldosterone concentrations and kidney disease progression was investigated among 3680 participants in the Chronic Renal Insufficiency Cohort. The primary outcome was CKD progression [defined as the composite of 50% decline in estimated glomerular filtration rate (eGFR) or end-stage kidney disease, whichever occurred first]. The associations between serum aldosterone and kidney disease outcomes were assessed using Cox proportional hazard models. At baseline, higher aldosterone concentrations were associated with a lower eGFR, lower serum potassium, greater urinary potassium, and protein excretion. Over a median follow-up of 9.6 years, 1412 participants developed CKD progression. In adjusted models, each doubling of serum aldosterone was associated with a 11% increased risk of CKD progression [hazard ratio (HR) 1.11, 95% confidence interval (CI) 1.04-1.18]. Individuals with the highest quartile of serum aldosterone had a 45% increased risk of CKD progression (HR 1.45, 95% CI 1.22-1.73) compared with the lowest quartile. The risk for CKD progression was similar regardless of whether patients had concomitant diabetes (P-interaction = 0.10). Conclusion: Higher serum aldosterone levels among individuals with CKD are independently associated with an increased risk for kidney disease progression, irrespective of concomitant diabetes. These findings provide mechanistic support for MR antagonists in delaying CKD progression and suggest that they may also have a role in those without diabetes.
MeSH term(s)	Aldosterone ; Diabetes Mellitus ; Disease Progression ; Glomerular Filtration Rate ; Humans ; Kidney ; Mineralocorticoid Receptor Antagonists/therapeutic use ; Potassium ; Receptors, Mineralocorticoid ; Renal Insufficiency, Chronic/complications ; Risk Factors
Chemical Substances	Mineralocorticoid Receptor Antagonists ; Receptors, Mineralocorticoid ; Aldosterone (4964P6T9RB) ; Potassium (RWP5GA015D)
Language	English
Publishing date	2023-02-06
Publishing country	England
Document type	Journal Article
ZDB-ID	603098-1
ISSN	1522-9645 ; 0195-668X
ISSN (online)	1522-9645
ISSN	0195-668X
DOI	10.1093/eurheartj/ehac352
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Article ; Online: Prognostic machine learning models for COVID-19 to facilitate decision making.

Subudhi, Sonu / Verma, Ashish / Patel, Ankit B

International journal of clinical practice

2020 Volume 74, Issue 12, Page(s) e13685

Abstract: An increasing number of COVID-19 cases worldwide has overwhelmed the healthcare system. Physicians are struggling to allocate resources and to focus their attention on high-risk patients, partly because early identification of high-risk individuals is ... ...

Abstract	An increasing number of COVID-19 cases worldwide has overwhelmed the healthcare system. Physicians are struggling to allocate resources and to focus their attention on high-risk patients, partly because early identification of high-risk individuals is difficult. This can be attributed to the fact that COVID-19 is a novel disease and its pathogenesis is still partially understood. However, machine learning algorithms have the capability to analyse a large number of parameters within a short period of time to identify the predictors of disease outcome. Implementing such an algorithm to predict high-risk individuals during the early stages of infection would be helpful in decision making for clinicians such that irreversible damage could be prevented. Here, we propose recommendations to develop prognostic machine learning models using electronic health records so that a real-time risk score can be developed for COVID-19.
MeSH term(s)	Algorithms ; COVID-19/epidemiology ; Clinical Decision-Making ; Humans ; Machine Learning ; Pandemics ; Prognosis
Keywords	covid19
Language	English
Publishing date	2020-09-29
Publishing country	India
Document type	Journal Article
ZDB-ID	1386246-7
ISSN	1742-1241 ; 1368-5031
ISSN (online)	1742-1241
ISSN	1368-5031
DOI	10.1111/ijcp.13685
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Article ; Online: Tissue-Resident Memory T Cells in the Liver-Unique Characteristics of Local Specialists.

Bartsch, Lea M / Damasio, Marcos P S / Subudhi, Sonu / Drescher, Hannah K

Cells

2020 Volume 9, Issue 11

Abstract: T cells play an important role to build up an effective immune response and are essential in the eradication of pathogens. To establish a long-lasting protection even after a re-challenge with the same pathogen, some T cells differentiate into memory T ... ...

Abstract	T cells play an important role to build up an effective immune response and are essential in the eradication of pathogens. To establish a long-lasting protection even after a re-challenge with the same pathogen, some T cells differentiate into memory T cells. Recently, a certain subpopulation of memory T cells at different tissue-sites of infection was detected-tissue-resident memory T cells (T
MeSH term(s)	Animals ; Humans ; Immunologic Memory ; Liver/immunology ; Phenotype ; T-Lymphocytes/immunology ; Transcription, Genetic ; Vaccination
Language	English
Publishing date	2020-11-11
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't ; Review
ZDB-ID	2661518-6
ISSN	2073-4409 ; 2073-4409
ISSN (online)	2073-4409
ISSN	2073-4409
DOI	10.3390/cells9112457
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Article ; Online: Immune System Modulation and Viral Persistence in Bats: Understanding Viral Spillover.

Subudhi, Sonu / Rapin, Noreen / Misra, Vikram

Viruses

2019 Volume 11, Issue 2

Abstract: Bats harbor a myriad of viruses and some of these viruses may have spilled over to other species including humans. Spillover events are rare and several factors must align to create the "perfect storm" that would ultimately lead to a spillover. One of ... ...

Abstract	Bats harbor a myriad of viruses and some of these viruses may have spilled over to other species including humans. Spillover events are rare and several factors must align to create the "perfect storm" that would ultimately lead to a spillover. One of these factors is the increased shedding of virus by bats. Several studies have indicated that bats have unique defense mechanisms that allow them to be persistently or latently infected with viruses. Factors leading to an increase in the viral load of persistently infected bats would facilitate shedding of virus. This article reviews the unique nature of bat immune defenses that regulate virus replication and the various molecular mechanisms that play a role in altering the balanced bat⁻virus relationship.
MeSH term(s)	Animals ; Chiroptera/immunology ; Chiroptera/virology ; Disease Reservoirs/virology ; Immune Tolerance ; Viral Load ; Virus Latency/immunology ; Virus Replication ; Virus Shedding ; Viruses/immunology ; Viruses/pathogenicity
Keywords	covid19
Language	English
Publishing date	2019-02-23
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't ; Review
ZDB-ID	2516098-9
ISSN	1999-4915 ; 1999-4915
ISSN (online)	1999-4915
ISSN	1999-4915
DOI	10.3390/v11020192
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Article ; Online: Prognostic machine learning models for COVID‐19 to facilitate decision making

Subudhi, Sonu / Verma, Ashish / Patel, Ankit B.

International Journal of Clinical Practice ; ISSN 1368-5031 1742-1241

2020

Keywords	General Medicine ; covid19
Language	English
Publisher	Wiley
Publishing country	us
Document type	Article ; Online
DOI	10.1111/ijcp.13685
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Normalizing granuloma vasculature and matrix improves drug delivery and reduces bacterial burden in tuberculosis-infected rabbits.

Datta, Meenal / Via, Laura E / Dartois, Véronique / Weiner, Danielle M / Zimmerman, Matthew / Kaya, Firat / Walker, April M / Fleegle, Joel D / Raplee, Isaac D / McNinch, Colton / Zarodniuk, Maksym / Kamoun, Walid S / Yue, Changli / Kumar, Ashwin S / Subudhi, Sonu / Xu, Lei / Barry, Clifton E / Jain, Rakesh K

Proceedings of the National Academy of Sciences of the United States of America

2024 Volume 121, Issue 14, Page(s) e2321336121

Abstract: Host-directed therapies (HDTs) represent an emerging approach for bacterial clearance during tuberculosis (TB) infection. While most HDTs are designed and implemented for immuno-modulation, other host targets-such as nonimmune stromal components found in ...

Abstract	Host-directed therapies (HDTs) represent an emerging approach for bacterial clearance during tuberculosis (TB) infection. While most HDTs are designed and implemented for immuno-modulation, other host targets-such as nonimmune stromal components found in pulmonary granulomas-may prove equally viable. Building on our previous work characterizing and normalizing the aberrant granuloma-associated vasculature, here we demonstrate that FDA-approved therapies (bevacizumab and losartan, respectively) can be repurposed as HDTs to normalize blood vessels and extracellular matrix (ECM), improve drug delivery, and reduce bacterial loads in TB granulomas. Granulomas feature an overabundance of ECM and compressed blood vessels, both of which are effectively reduced by losartan treatment in the rabbit model of TB. Combining both HDTs promotes secretion of proinflammatory cytokines and improves anti-TB drug delivery. Finally, alone and in combination with second-line antitubercular agents (moxifloxacin or bedaquiline), these HDTs significantly reduce bacterial burden. RNA sequencing analysis of HDT-treated lung and granuloma tissues implicates up-regulated antimicrobial peptide and proinflammatory gene expression by ciliated epithelial airway cells as a putative mechanism of the observed antitubercular benefits in the absence of chemotherapy. These findings demonstrate that bevacizumab and losartan are well-tolerated stroma-targeting HDTs, normalize the granuloma microenvironment, and improve TB outcomes, providing the rationale to clinically test this combination in TB patients.
MeSH term(s)	Humans ; Animals ; Rabbits ; Mycobacterium tuberculosis ; Bevacizumab/pharmacology ; Losartan/pharmacology ; Tuberculosis/microbiology ; Antitubercular Agents/pharmacology ; Granuloma ; Latent Tuberculosis/microbiology
Chemical Substances	Bevacizumab (2S9ZZM9Q9V) ; Losartan (JMS50MPO89) ; Antitubercular Agents
Language	English
Publishing date	2024-03-26
Publishing country	United States
Document type	Journal Article
ZDB-ID	209104-5
ISSN	1091-6490 ; 0027-8424
ISSN (online)	1091-6490
ISSN	0027-8424
DOI	10.1073/pnas.2321336121
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Article: Wnt inhibition alleviates resistance to immune checkpoint blockade in glioblastoma.

Jain, Rakesh / Krishnan, Shanmugarajan / Lee, Somin / Amoozgar, Zohreh / Subudhi, Sonu / Kumar, Ashwin / Posada, Jessica / Lindeman, Neal / Lei, Pinji / Duquette, Mark / Roberge, Sylvie / Huang, Peigen / Andersson, Patrik / Datta, Meenal / Munn, Lance / Fukumura, Dai

Research square

2023

Abstract: Wnt signaling plays a critical role in the progression and treatment outcome of glioblastoma (GBM). Here, we identified WNT7b as a heretofore unknown mechanism of resistance to immune checkpoint inhibition (αPD1) in GBM patients and murine models. ... ...

Abstract	Wnt signaling plays a critical role in the progression and treatment outcome of glioblastoma (GBM). Here, we identified WNT7b as a heretofore unknown mechanism of resistance to immune checkpoint inhibition (αPD1) in GBM patients and murine models. Acquired resistance to αPD1 was found to be associated with the upregulation of Wnt7b and β-catenin protein levels in GBM in patients and in a clinically relevant, stem-rich GBM model. Combining the porcupine inhibitor WNT974 with αPD1 prolonged the survival of GBM-bearing mice. However, this combination had a dichotomous response, with a subset of tumors showing refractoriness. WNT974 and αPD1 expanded a subset of DC3-like dendritic cells (DCs) and decreased the granulocytic myeloid-derived suppressor cells (gMDSCs) in the tumor microenvironment (TME). By contrast, monocytic MDSCs (mMDSCs) increased, while T-cell infiltration remained unchanged, suggesting potential TME-mediated resistance. Our preclinical findings warrant the testing of Wnt7b/β-catenin combined with αPD1 in GBM patients with elevated Wnt7b/β-catenin signaling.
Language	English
Publishing date	2023-12-26
Publishing country	United States
Document type	Preprint
DOI	10.21203/rs.3.rs-3707472/v1
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Article ; Online: Nutrients enriched biochar production through Co-Pyrolysis of poultry litter with banana peduncle and phosphogypsum waste.

Vimal, Vineet / Karim, Adnan Asad / Kumar, Manish / Ray, Arati / Biswas, Kushalindu / Maurya, Sonu / Subudhi, Debadutta / Dhal, Nabin Kumar

Chemosphere

2022 Volume 300, Page(s) 134512

Abstract: Poultry litter (PL) utilisation has been widely studied for production of phosphorus (P) rich biochars. Recent research documented co-pyrolysis of PL with nutrient rich chemical additives like rock phosphate, phosphoric acid and magnesium (Mg) salts for ... ...

Abstract	Poultry litter (PL) utilisation has been widely studied for production of phosphorus (P) rich biochars. Recent research documented co-pyrolysis of PL with nutrient rich chemical additives like rock phosphate, phosphoric acid and magnesium (Mg) salts for production of P-Mg enriched biochar with improved P use efficiency. However, research is highly scarce on utilisation of waste materials for production of PL biochar enriched in P, potassium (K) and sulphur (S). In this context, present work investigated co-pyrolysis (700°C, 10°C/min, 1h residence time) of PL with banana peduncle (BP) and phosphogypsum (PG) in different w/w ratios (1:1:1, 1:2:1, 1:3:1) of BP-PL-PG for production of K-P-S enriched biochars composites. These biochars mainly showed variations in their K-P-S contents. The K (5.1%) and S (11.35%) enrichment was relatively higher in BP-PL-PG (1:1:1) biochar than PL biochar (K-3.70% and S-0.96%). However, P content was higher in PL biochar (4.48%) and was reduced in biochar composites. The P contents were 3.84, 2.84, and 2.44% in BP-PL-PG (1:3:1), BP-PL-PG (1:2:1) and BP-PL-PG (1:1:1) composites respectively. In biochars, P was present predominantly as Ca-Mg bound form. Furthermore, best fit of second order kinetic model indicated slow-release behaviour of P from biochars and composites. These results highlight the scope of co-pyrolysis of PL with selected wastes for production of multi-nutrients enriched biochars with improved nutrient availability for soil application.
MeSH term(s)	Animals ; Calcium Sulfate ; Charcoal/chemistry ; Musa ; Nutrients ; Phosphorus ; Poultry ; Pyrolysis ; Soil/chemistry
Chemical Substances	Soil ; biochar ; phosphogypsum (13397-24-5) ; Charcoal (16291-96-6) ; Phosphorus (27YLU75U4W) ; Calcium Sulfate (WAT0DDB505)
Language	English
Publishing date	2022-04-06
Publishing country	England
Document type	Journal Article
ZDB-ID	120089-6
ISSN	1879-1298 ; 0045-6535 ; 0366-7111
ISSN (online)	1879-1298
ISSN	0045-6535 ; 0366-7111
DOI	10.1016/j.chemosphere.2022.134512
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Article: Prognostic machine learning models for COVID-19 to facilitate decision making

Subudhi, Sonu / Verma, Ashish / Patel, Ankit B

Int J Clin Pract

Abstract	An increasing number of COVID-19 cases worldwide has overwhelmed the healthcare system. Physicians are struggling to allocate resources and to focus their attention on high-risk patients, partly because early identification of high-risk individuals is difficult. This can be attributed to the fact that COVID-19 is a novel disease and its pathogenesis is still partially understood. However, machine learning algorithms have the capability to analyse a large number of parameters within a short period of time to identify the predictors of disease outcome. Implementing such an algorithm to predict high-risk individuals during the early stages of infection would be helpful in decision making for clinicians such that irreversible damage could be prevented. Here, we propose recommendations to develop prognostic machine learning models using electronic health records so that a real-time risk score can be developed for COVID-19.
Keywords	covid19
Publisher	WHO
Document type	Article
Note	WHO #Covidence: #719372
Database	COVID19

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Article: Nutrients enriched biochar production through Co-Pyrolysis of poultry litter with banana peduncle and phosphogypsum waste

Vimal, Vineet / Karim, Adnan Asad / Kumar, Manish / Ray, Arati / Biswas, Kushalindu / Maurya, Sonu / Subudhi, Debadutta / Dhal, Nabin Kumar

Chemosphere. 2022 Aug., v. 300

2022

Abstract	Poultry litter (PL) utilisation has been widely studied for production of phosphorus (P) rich biochars. Recent research documented co-pyrolysis of PL with nutrient rich chemical additives like rock phosphate, phosphoric acid and magnesium (Mg) salts for production of P–Mg enriched biochar with improved P use efficiency. However, research is highly scarce on utilisation of waste materials for production of PL biochar enriched in P, potassium (K) and sulphur (S). In this context, present work investigated co-pyrolysis (700°C, 10°C/min, 1h residence time) of PL with banana peduncle (BP) and phosphogypsum (PG) in different w/w ratios (1:1:1, 1:2:1, 1:3:1) of BP-PL-PG for production of K–P–S enriched biochars composites. These biochars mainly showed variations in their K–P–S contents. The K (5.1%) and S (11.35%) enrichment was relatively higher in BP-PL-PG (1:1:1) biochar than PL biochar (K-3.70% and S-0.96%). However, P content was higher in PL biochar (4.48%) and was reduced in biochar composites. The P contents were 3.84, 2.84, and 2.44% in BP-PL-PG (1:3:1), BP-PL-PG (1:2:1) and BP-PL-PG (1:1:1) composites respectively. In biochars, P was present predominantly as Ca–Mg bound form. Furthermore, best fit of second order kinetic model indicated slow-release behaviour of P from biochars and composites. These results highlight the scope of co-pyrolysis of PL with selected wastes for production of multi-nutrients enriched biochars with improved nutrient availability for soil application.
Keywords	bananas ; biochar ; kinetics ; magnesium ; nutrient availability ; peduncle ; phosphogypsum ; phosphoric acid ; phosphorus ; potassium ; poultry manure ; pyrolysis ; rock phosphate ; soil treatment ; sulfur
Language	English
Dates of publication	2022-08
Publishing place	Elsevier Ltd
Document type	Article
ZDB-ID	120089-6
ISSN	1879-1298 ; 0045-6535 ; 0366-7111
ISSN (online)	1879-1298
ISSN	0045-6535 ; 0366-7111
DOI	10.1016/j.chemosphere.2022.134512
Database	NAL-Catalogue (AGRICOLA)

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