1
|
Lee CEC, Subramani P, Ananth P, Bhalraam U, Victor C, Venkatesan R, Prathiba V, Anjana RM, Palmer CNA, Struthers AD, Singh JS, Mordi IR, Mohan V, Lang CC. High prevalence of asymptomatic left ventricular diastolic dysfunction and its detection among South Asian patients with Type 2 Diabetes Mellitus compared with White Europeans. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
Heart failure (HF) is an important manifestation of Type 2 Diabetes (T2D). The development of HF in T2D may be preceded by Stage B HF. Asymptomatic left ventricular impairment, especially left ventricular diastolic dysfunction (LVDD), is a defining early feature of Stage B HF. Detection of Stage B HF is crucial as it provides an opportune target for intervention with cardio-protective therapy to prevent the development of symptomatic HF in T2D. The risk of T2DM is higher in South Asian populations resulting in increased risk of macrovascular and microvascular complications. The prevalence of Stage B HF in South Asian patients with T2DM is not known.
Purpose
(i) To compare the prevalence of Stage B HF in South Asians in India compared with White Europeans in Scotland; (ii) To test the role of NT-proBNP in identifying Stage B HF
Methods
This study involved the comparison between two independently conducted, cross-sectional studies. The patients were asymptomatic patients with T2DM with no prior history of cardiovascular disease from Chennai, India (n=246) and Tayside, Scotland (n=246). All patients underwent transthoracic echocardiogram (echo) examination to detect the presence of structural and functional echo features of Stage B HF: left atrial enlargement (LAE), left ventricular hypertrophy (LVH), LVDD and LV systolic dysfunction (LVSD). Receiver operating curves (ROC) were used to determine the predictive ability of NT-proBNP to predict LAE/LVDD/LVD/LVSD.
Results
The prevalence of Stage B HF was high in South-Asian patients with T2DM (median age of 55 [49, 62] with a high prevalence of LVDD (5% had LVH, 7.3% had LAE, 70% had LVDD and 0% had LVSD (Figure 1B). 10% of the South Asian patients had at least 2 factors contributing to Stage B HF and these patients had higher NT-proBNP titres (703.4 [500.0, 949.2] vs 423.7 [35.0, 754.2], p<0.001). ROC curves show that NT-proBNP can predict these participants with 2 or more echo features [Figure 2B, AUC: 0.7043 (0.6159, 0.7928) p<0.05]. The prevalence of Stage B HF among White Europeans (median age of 67 [61, 72].) was lower compared with South Asian patients: 15% had LVH, 13% had LAE, 19% had LVDD and 2% had LVSD (Figure 1A). 8% of White Europeans had at least 2 factors contributing to Stage B HF and these had higher NT-proBNP titres (368.9 [154.6, 1087.8] vs 186.8 [79.7, 411.5], p=0.02). ROC curves show that NT-proBNP can predict participants with 2 or more factors [Figure 2A, AUC: 0.6399 (0.5122, 0.7676) p<0.05].
Conclusion
Our study has shown that South Asian patients with T2DM have a high prevalence of Stage B HF compared with White Europeans and that the predominant Stage B HF feature is LVDD.
We also found that NTproBNP could potentially be used to detect Stage B HF and help identify at-risk patients for cardio-protective therapy such as SGLT2 inhibitor therapy that has been shown to prevent the development of future HF events.
Funding Acknowledgement
Type of funding sources: None.
Collapse
Affiliation(s)
- C E C Lee
- University of Dundee, Division of Molecular and Clinical Medicine , Dundee , United Kingdom
| | - P Subramani
- Madras Diabetes Research Foundation , Chennai , India
| | - P Ananth
- Madras Diabetes Research Foundation , Chennai , India
| | - U Bhalraam
- University of Dundee, Division of Molecular and Clinical Medicine , Dundee , United Kingdom
| | - C Victor
- University of Dundee, Division of Molecular and Clinical Medicine , Dundee , United Kingdom
| | - R Venkatesan
- Madras Diabetes Research Foundation , Chennai , India
| | - V Prathiba
- Madras Diabetes Research Foundation , Chennai , India
| | - R M Anjana
- Madras Diabetes Research Foundation , Chennai , India
| | - C N A Palmer
- University of Dundee, Division of Molecular and Clinical Medicine , Dundee , United Kingdom
| | - A D Struthers
- University of Dundee, Division of Molecular and Clinical Medicine , Dundee , United Kingdom
| | - J S Singh
- University of Dundee, Division of Molecular and Clinical Medicine , Dundee , United Kingdom
| | - I R Mordi
- University of Dundee, Division of Molecular and Clinical Medicine , Dundee , United Kingdom
| | - V Mohan
- Madras Diabetes Research Foundation , Chennai , India
| | - C C Lang
- University of Dundee, Division of Molecular and Clinical Medicine , Dundee , United Kingdom
| |
Collapse
|
2
|
Rawal K, Sinha R, Abbasi BA, Chaudhary A, Nath SK, Kumari P, Preeti P, Saraf D, Singh S, Mishra K, Gupta P, Mishra A, Sharma T, Gupta S, Singh P, Sood S, Subramani P, Dubey AK, Strych U, Hotez PJ, Bottazzi ME. Identification of vaccine targets in pathogens and design of a vaccine using computational approaches. Sci Rep 2021; 11:17626. [PMID: 34475453 PMCID: PMC8413327 DOI: 10.1038/s41598-021-96863-x] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 08/10/2021] [Indexed: 02/07/2023] Open
Abstract
Antigen identification is an important step in the vaccine development process. Computational approaches including deep learning systems can play an important role in the identification of vaccine targets using genomic and proteomic information. Here, we present a new computational system to discover and analyse novel vaccine targets leading to the design of a multi-epitope subunit vaccine candidate. The system incorporates reverse vaccinology and immuno-informatics tools to screen genomic and proteomic datasets of several pathogens such as Trypanosoma cruzi, Plasmodium falciparum, and Vibrio cholerae to identify potential vaccine candidates (PVC). Further, as a case study, we performed a detailed analysis of the genomic and proteomic dataset of T. cruzi (CL Brenner and Y strain) to shortlist eight proteins as possible vaccine antigen candidates using properties such as secretory/surface-exposed nature, low transmembrane helix (< 2), essentiality, virulence, antigenic, and non-homology with host/gut flora proteins. Subsequently, highly antigenic and immunogenic MHC class I, MHC class II and B cell epitopes were extracted from top-ranking vaccine targets. The designed vaccine construct containing 24 epitopes, 3 adjuvants, and 4 linkers was analysed for its physicochemical properties using different tools, including docking analysis. Immunological simulation studies suggested significant levels of T-helper, T-cytotoxic cells, and IgG1 will be elicited upon administration of such a putative multi-epitope vaccine construct. The vaccine construct is predicted to be soluble, stable, non-allergenic, non-toxic, and to offer cross-protection against related Trypanosoma species and strains. Further, studies are required to validate safety and immunogenicity of the vaccine.
Collapse
Affiliation(s)
- Kamal Rawal
- Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India.
| | - Robin Sinha
- Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India
| | - Bilal Ahmed Abbasi
- Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India
| | - Amit Chaudhary
- Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India
| | - Swarsat Kaushik Nath
- Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India
| | - Priya Kumari
- Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India
| | - P Preeti
- Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India
| | - Devansh Saraf
- Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India
| | - Shachee Singh
- Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India
| | - Kartik Mishra
- Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India
| | - Pranjay Gupta
- Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India
| | - Astha Mishra
- Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India
| | - Trapti Sharma
- Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India
| | - Srijanee Gupta
- Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India
| | - Prashant Singh
- Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India
| | - Shriya Sood
- Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India
| | - Preeti Subramani
- Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India
| | - Aman Kumar Dubey
- Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India
| | - Ulrich Strych
- Texas Children's Hospital Center for Vaccine Development, Departments of Pediatrics and Molecular Virology and Microbiology, National School of Tropical Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Peter J Hotez
- Texas Children's Hospital Center for Vaccine Development, Departments of Pediatrics and Molecular Virology and Microbiology, National School of Tropical Medicine, Baylor College of Medicine, Houston, TX, USA
- Department of Biology, Baylor University, Waco, TX, USA
| | - Maria Elena Bottazzi
- Texas Children's Hospital Center for Vaccine Development, Departments of Pediatrics and Molecular Virology and Microbiology, National School of Tropical Medicine, Baylor College of Medicine, Houston, TX, USA
- Department of Biology, Baylor University, Waco, TX, USA
| |
Collapse
|
3
|
Rangi P, Minz PS, Deshmukh GP, Subramani P, Singh R. Application of image analysis technique to determine cleaning of ohmic heating system for milk. J Food Sci Technol 2019; 56:5405-5414. [PMID: 31749488 DOI: 10.1007/s13197-019-04011-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Revised: 08/01/2019] [Accepted: 08/07/2019] [Indexed: 10/26/2022]
Abstract
Cleaning of equipment is one of the major areas of concern in food industry. Image analysis technique was used to assess the cleaning effectiveness and optimize the CIP protocol for ohmic heating setup. Process parameters selected for optimization of cleaning were caustic concentration (1.0, 1.5, 2.0 and 2.5%), caustic temperature (70, 75, 80 and 85 °C), acid concentration (0.00, 0.25, 0.5 and 0.75%), and acid temperature (40, 50, 60 and 70 °C). Time for caustic treatment was varied from 5 to 20 min at an interval of 5 min, while time acid treatment was kept at a constant of 10 min. Taguchi orthogonal array design was used generate different combinations of acid and alkali concentration and temperature. Images of ohmic heating plates were taken before and after the cleaning procedure. MATLAB program was developed to analyze and extract Gray-Level Co-occurrence (GLCM) matrix properties from the image. Optimized combination was selected based on the highest value of desirability factor among all the experimental set of trials. Treatment with 1.5% caustic concentration at 70 °C for 5 min followed by 0.5% nitric acid concentration at 60 °C was found optimum effective CIP of the heating plates used in ohmic heating setup. GLCM properties correlation, cluster prominence, cluster shade, entropy, homogeneity and inverse difference moment normalized were found suitable for analysis of cleaning effectiveness and optimization of the CIP protocol.
Collapse
Affiliation(s)
- Priyanka Rangi
- 1Dairy Engineering Section, ICAR-National Dairy Research Institute, SRS, Bangalore, Karnataka 560030 India
| | - P S Minz
- 2Dairy Engineering Section, ICAR-National Dairy Research Institute, Karnal, Haryana 132001 India
| | - Gajanan P Deshmukh
- 1Dairy Engineering Section, ICAR-National Dairy Research Institute, SRS, Bangalore, Karnataka 560030 India
| | - P Subramani
- Karnataka Milk Federation, Bengaluru, Karnataka India
| | | |
Collapse
|
5
|
Sundaraganesan N, Ilakiamani S, Subramani P, Joshua BD. Comparison of experimental and ab initio HF and DFT vibrational spectra of benzimidazole. Spectrochim Acta A Mol Biomol Spectrosc 2007; 67:628-35. [PMID: 16979935 DOI: 10.1016/j.saa.2006.08.020] [Citation(s) in RCA: 87] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2006] [Revised: 08/15/2006] [Accepted: 08/15/2006] [Indexed: 05/11/2023]
Abstract
In this work, we will report a combined experimental and theoretical study on molecular and vibrational structure of benzimidazole. The laser Raman and Fourier transform infrared spectra of benzimidazole were recorded in the solid phase. The equilibrium geometry, harmonic vibrational frequencies, infrared intensities, Raman scattering activities, depolarization ratios and reduced masses were calculated by HF and density functional B3LYP method with the 6-311G(d,p) basis set. The scaled theoretical wavenumbers showed very good agreement with the experimental values. The thermodynamic functions of the title compound were also performed at HF/6-31G(d,p)/6-311G(d,p) and B3LYP/6-31G(d,p)/6-311G(d,p) levels of theory. A detailed interpretations of the infrared and Raman spectra of benzimidazole is reported. The theoretical spectrograms for FT-IR spectra of the title molecule have been constructed.
Collapse
Affiliation(s)
- N Sundaraganesan
- Department of Physics (Engineering), Annamalai University, Annamalai Nagar 608 002, India.
| | | | | | | |
Collapse
|