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Rangamani S, Huliyappa D, Kulothungan V, Saravanan S, Murugan P, Mahadevan R, Rachel Packiaseeli C, Bobby E, Sunitha K, Mallick AK, Nayak SD, Swain SK, Behera M, Nath BK, Swami A, Kalwar AK, Difoesa B, Sardana V, Maheshwari D, Bhushan B, Mittal D, Chaurasia RN, Meena L, Vinay Urs KS, Koli RR, Suresh Kumar N, Mathur P. Stroke incidence, mortality, subtypes in rural and urban populations in five geographic areas of India (2018-2019): results from the National Stroke Registry Programme. Lancet Reg Health Southeast Asia 2024; 23:100308. [PMID: 38404513 PMCID: PMC10884975 DOI: 10.1016/j.lansea.2023.100308] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 09/30/2023] [Accepted: 10/11/2023] [Indexed: 02/27/2024]
Abstract
Background Increasing stroke burden in India demands a long-term stroke surveillance framework. Earlier studies in India were urban-based, short term and provided limited data on stroke incidence and its outcomes. This gap is addressed by the establishment of five population-based stroke registries (PBSRs) of the National Stroke Registry Programme, India. This paper describes stroke incidence, mortality and age, sex, and subtypes distribution in the five PBSRs with urban and rural populations. Methods First-ever incident stroke patients in age group ≥18 years, resident for at least one year in the defined geographic area, identified from health facilities were registered. Death records with stroke as the cause of death from the Civil Registration System (CRS) were included. Transient ischemic attack (TIA) was excluded. Three PBSRs (Cuttack, Tirunelveli, Cachar) included urban and rural populations. PBSRs in Kota and Varanasi were urban areas. The crude and age-standardized incidence rate (ASR) by age, sex, and residence (urban and rural), rate ratios of ASR, case fatality proportions and rates at day 28 after onset of stroke were calculated for years 2018-2019. Findings A total of 13,820 registered first-ever stroke cases that included 985 death certificate-only cases (DCOs) were analysed. The pooled crude incidence rate was 138.1 per 100,000 population with an age-standardized incidence rate (ASR) of 103.4 (both sexes), 125.7 (males) and 80.8 (females). The risk of stroke among rural residents was one in seven (Cuttack), one in nine (Tirunelveli), and one in 15 (Cachar). Ischemic stroke was the most common type in all PBSRs. Age-standardized case fatality rates (ASCFR) per 100,000 population for pooled PBSRs was 30.0 (males) and 18.8 (females), and the rate ratio (M/F) ranged from 1.2 (Cuttack) to 2.0 (Cachar). Interpretation Population-based registries have provided a comprehensive stroke surveillance platform to measure stroke burden and outcomes by age, sex, residence and subtype across India. The rural-urban pattern of stroke incidence and mortality shall guide health policy and programme planning to strengthen stroke prevention and treatment measures in India. Funding The National Stroke Registry Programme is funded through the intramural funding of the Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, India.
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Affiliation(s)
- Sukanya Rangamani
- ICMR-National Centre for Disease Informatics and Research, II Floor of Nirmal Bhawan, ICMR Complex Kannamangala Post, Bengaluru, 562 110, India
| | - Deepadarshan Huliyappa
- ICMR-National Centre for Disease Informatics and Research, II Floor of Nirmal Bhawan, ICMR Complex Kannamangala Post, Bengaluru, 562 110, India
| | - Vaitheeswaran Kulothungan
- ICMR-National Centre for Disease Informatics and Research, II Floor of Nirmal Bhawan, ICMR Complex Kannamangala Post, Bengaluru, 562 110, India
| | | | - P.K. Murugan
- Tirunelveli Medical College, Tirunelveli, 627011, India
| | | | | | - Esakki Bobby
- Tirunelveli Medical College, Tirunelveli, 627011, India
| | | | - Ashok Kumar Mallick
- SCB Medical College & Hospital, Cuttack, Behera Colony, Mangalabag, Cuttack, Odisha, 753001, India
| | - Soumya Darshan Nayak
- SCB Medical College & Hospital, Cuttack, Behera Colony, Mangalabag, Cuttack, Odisha, 753001, India
| | - Santosh Kumar Swain
- SCB Medical College & Hospital, Cuttack, Behera Colony, Mangalabag, Cuttack, Odisha, 753001, India
| | - Manoranjan Behera
- SCB Medical College & Hospital, Cuttack, Behera Colony, Mangalabag, Cuttack, Odisha, 753001, India
| | - Bhaskar Kanti Nath
- Silchar Medical College, Beside Indian Post, Ghungoor, Masimpur, Silchar, Assam, 788014, India
| | - Abhijit Swami
- Silchar Medical College, Beside Indian Post, Ghungoor, Masimpur, Silchar, Assam, 788014, India
| | - Amit Kumar Kalwar
- Silchar Medical College, Beside Indian Post, Ghungoor, Masimpur, Silchar, Assam, 788014, India
| | - Bijush Difoesa
- Silchar Medical College, Beside Indian Post, Ghungoor, Masimpur, Silchar, Assam, 788014, India
| | - Vijay Sardana
- Govt Medical College, MBS Hospital, Nayapura, Kota, Rajasthan, 324001, India
| | - Dilip Maheshwari
- Govt Medical College, MBS Hospital, Nayapura, Kota, Rajasthan, 324001, India
| | - Bharat Bhushan
- Govt Medical College, MBS Hospital, Nayapura, Kota, Rajasthan, 324001, India
| | - Deepika Mittal
- Govt Medical College, MBS Hospital, Nayapura, Kota, Rajasthan, 324001, India
| | - Rameshwar Nath Chaurasia
- Department of Neurology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, 221005, India
| | - L.P. Meena
- Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, 221005, India
| | - K S Vinay Urs
- ICMR-National Centre for Disease Informatics and Research, II Floor of Nirmal Bhawan, ICMR Complex Kannamangala Post, Bengaluru, 562 110, India
| | - Rahul Rajendra Koli
- ICMR-National Centre for Disease Informatics and Research, II Floor of Nirmal Bhawan, ICMR Complex Kannamangala Post, Bengaluru, 562 110, India
| | - Natesan Suresh Kumar
- ICMR-National Centre for Disease Informatics and Research, II Floor of Nirmal Bhawan, ICMR Complex Kannamangala Post, Bengaluru, 562 110, India
| | - Prashant Mathur
- ICMR-National Centre for Disease Informatics and Research, II Floor of Nirmal Bhawan, ICMR Complex Kannamangala Post, Bengaluru, 562 110, India
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2
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Esakki B, Kandasamy S, Mahadevan R, Subbiah P, Jayaraman Y, Gopal M, Kalyanaraman S. Methodology for the early identification of neurodevelopmental disorders in the primary and preschool children in rural India by applying intervention module developed for teachers. J Neurosci Rural Pract 2023; 14:165-169. [PMID: 36891089 PMCID: PMC9944657 DOI: 10.25259/jnrp-2022-2-8] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 10/05/2022] [Indexed: 12/24/2022] Open
Abstract
Objective Neurodevelopmental disorders NDD are neurologic processing problems that interfere with learning in children. Primary and preschool teachers who are essential links in public health reach out to such children do not receive any formal training to identify these disorders. Hence, a primary and preschool level intervention addressing the issue is proposed. Materials and Methods Primary and preschool teachers of government and government-aided schools and Anganwadi/preschools in the Model Rural Health Research Unit Tirunelveli field practice area will be assigned into two groups. The training module will be developed and validated using neurodevelopmental screening tool (NDST). Before identifying the students using the NDST, the teachers in Group A will get training using the module. Group B is the control group, in which untrained teachers administer the NDST to the children and then will be trained. Neurologists will assess the same children over 1 year. Results The effectiveness of teacher training for the early detection of children with NDD will be assessed. Thus, the validity of the screening for NDD by the teachers will be estimated. Conclusion If successful, the module can be incorporated into the Rashtriya Bal Swasthya Karyakram program of India for the early identification of children with NDD.
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Affiliation(s)
- Bobby Esakki
- Department of Community Medicine, Tirunelveli Medical college, Tirunelveli, Tamil Nadu, India
| | - Sunitha Kandasamy
- Department of Community Medicine, Tuticorin Medical College, Thoothukudi, Tamil Nadu, India
| | - Radha Mahadevan
- Department of Neurology, Tirunelveli Medical College, Tirunelveli, Tamil Nadu, India
| | | | | | - Muthu Gopal
- Model Rural Health Research Unit, Tirunelveli, Tamil Nadu, India
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3
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Jain A, Bhoyar RC, Pandhare K, Mishra A, Sharma D, Imran M, Senthivel V, Divakar MK, Rophina M, Jolly B, Batra A, Sharma S, Siwach S, Jadhao AG, Palande NV, Jha GN, Ashrafi N, Mishra PK, A K V, Jain S, Dash D, Kumar NS, Vanlallawma A, Sarma RJ, Chhakchhuak L, Kalyanaraman S, Mahadevan R, Kandasamy S, B M P, Rajagopal RE, Ramya J E, Devi P N, Bajaj A, Gupta V, Mathew S, Goswami S, Mangla M, Prakash S, Joshi K, Meyakumla, S S, Gajjar D, Soraisham R, Yadav R, Devi YS, Gupta A, Mukerji M, Ramalingam S, B K B, Scaria V, Sivasubbu S. Genetic epidemiology of autoinflammatory disease variants in Indian population from 1029 whole genomes. J Genet Eng Biotechnol 2021; 19:183. [PMID: 34905135 PMCID: PMC8671593 DOI: 10.1186/s43141-021-00268-2] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 10/13/2021] [Indexed: 11/16/2022]
Abstract
Background Autoinflammatory disorders are the group of inherited inflammatory disorders caused due to the genetic defect in the genes that regulates innate immune systems. These have been clinically characterized based on the duration and occurrence of unprovoked fever, skin rash, and patient’s ancestry. There are several autoinflammatory disorders that are found to be prevalent in a specific population and whose disease genetic epidemiology within the population has been well understood. However, India has a limited number of genetic studies reported for autoinflammatory disorders till date. The whole genome sequencing and analysis of 1029 Indian individuals performed under the IndiGen project persuaded us to perform the genetic epidemiology of the autoinflammatory disorders in India. Results We have systematically annotated the genetic variants of 56 genes implicated in autoinflammatory disorder. These genetic variants were reclassified into five categories (i.e., pathogenic, likely pathogenic, benign, likely benign, and variant of uncertain significance (VUS)) according to the American College of Medical Genetics and Association of Molecular pathology (ACMG-AMP) guidelines. Our analysis revealed 20 pathogenic and likely pathogenic variants with significant differences in the allele frequency compared with the global population. We also found six causal founder variants in the IndiGen dataset belonging to different ancestry. We have performed haplotype prediction analysis for founder mutations haplotype that reveals the admixture of the South Asian population with other populations. The cumulative carrier frequency of the autoinflammatory disorder in India was found to be 3.5% which is much higher than reported. Conclusion With such frequency in the Indian population, there is a great need for awareness among clinicians as well as the general public regarding the autoinflammatory disorder. To the best of our knowledge, this is the first and most comprehensive population scale genetic epidemiological study being reported from India. Supplementary Information The online version contains supplementary material available at 10.1186/s43141-021-00268-2.
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Affiliation(s)
- Abhinav Jain
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Rahul C Bhoyar
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India
| | - Kavita Pandhare
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India
| | - Anushree Mishra
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India
| | - Disha Sharma
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India
| | - Mohamed Imran
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Vigneshwar Senthivel
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Mohit Kumar Divakar
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Mercy Rophina
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Bani Jolly
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Arushi Batra
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Sumit Sharma
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India
| | - Sanjay Siwach
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India
| | - Arun G Jadhao
- Department of Zoology, RTM Nagpur University, Nagpur, Maharashtra, 440033, India
| | - Nikhil V Palande
- Department of Zoology, Shri Mathuradas Mohota College of Science, Nagpur, Maharashtra, 440009, India
| | - Ganga Nath Jha
- Department of Anthropology, Vinoba Bhave University, Hazaribag, Jharkhand, 825301, India
| | - Nishat Ashrafi
- Department of Anthropology, Vinoba Bhave University, Hazaribag, Jharkhand, 825301, India
| | - Prashant Kumar Mishra
- Department of Biotechnology, Vinoba Bhave University, Hazaribag, Jharkhand, 825301, India
| | - Vidhya A K
- Department of Biochemistry, Dr. Kongu Science and Art College, Erode, Tamil Nadu, 638107, India
| | - Suman Jain
- Thalassemia and Sickle Cell Society, Hyderabad, Telangana, 500052, India
| | - Debasis Dash
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | | | - Andrew Vanlallawma
- Department of Biotechnology, Mizoram University, Aizawl, Mizoram, 796004, India
| | - Ranjan Jyoti Sarma
- Department of Biotechnology, Mizoram University, Aizawl, Mizoram, 796004, India
| | | | | | - Radha Mahadevan
- TVMC, Tirunelveli Medical College, Tirunelveli, Tamil Nadu, 627011, India
| | - Sunitha Kandasamy
- TVMC, Tirunelveli Medical College, Tirunelveli, Tamil Nadu, 627011, India
| | - Pabitha B M
- TVMC, Tirunelveli Medical College, Tirunelveli, Tamil Nadu, 627011, India
| | | | - Ezhil Ramya J
- TVMC, Tirunelveli Medical College, Tirunelveli, Tamil Nadu, 627011, India
| | - Nirmala Devi P
- TVMC, Tirunelveli Medical College, Tirunelveli, Tamil Nadu, 627011, India
| | - Anjali Bajaj
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Vishu Gupta
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Samatha Mathew
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Sangam Goswami
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Mohit Mangla
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Savinitha Prakash
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India
| | - Kandarp Joshi
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India
| | - Meyakumla
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India
| | - Sreedevi S
- Department of Microbiology, St.Pious X Degree & PG College for Women, Hyderabad, Telangana, 500076, India
| | - Devarshi Gajjar
- Department of Microbiology, The Maharaja Sayajirao University of Baroda, Vadodara, Gujarat, 390002, India
| | - Ronibala Soraisham
- Department of Dermatology, Venereology and Leprology, Regional Institute of Medical Sciences, Imphal, Manipur, 795004, India
| | - Rohit Yadav
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Yumnam Silla Devi
- CSIR- North East Institute of Science and Technology, Jorhat, Assam, 785006, India
| | - Aayush Gupta
- Department of Dermatology, Dr. D.Y. Patil Medical College, Pune, Maharashtra, 411018, India
| | - Mitali Mukerji
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Sivaprakash Ramalingam
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Binukumar B K
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Vinod Scaria
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India. .,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India.
| | - Sridhar Sivasubbu
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India. .,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India.
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4
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Kapadia D, Dongre P, Mahadevan R. Strategies for mitigating the effects of a pandemic on Indian medical tourism. CM 2021. [DOI: 10.18137/cardiometry.2021.20.144150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
India is a favorable destination for medical tourism because ofits quality healthcare services and affordable treatment costs. Itis a continuously growing industry across the globe. But wheneverany pandemic situation arises, it adversely affects the industry.Currently, COVID-19 has a severe negative impact onthe medical tourism sector. This paper discusses the effects of apandemic, critical issues, SWOT analysis, and components thatmitigate the adverse effects of pandemic diseases on medicaltourism in India. During this phase, it is crucial to encouragedomestic medical tourism for the sustainability of this sector. India’sheritage of ancient medicine promotion, along with modernmedicine can captivate the medical tourists. The destinationcountry requires meeting the expectations of tourists throughquality services. With India entering this unexpected downturnin this sector, destination country it must emphasize the slowand steady growth of medical tourism against the current andpotential future pandemics.
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5
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Sahana S, Sivadas A, Mangla M, Jain A, Bhoyar RC, Pandhare K, Mishra A, Sharma D, Imran M, Senthivel V, Divakar MK, Rophina M, Jolly B, Batra A, Sharma S, Siwach S, Jadhao AG, Palande NV, Jha GN, Ashrafi N, Mishra PK, Vidhya AK, Jain S, Dash D, Kumar NS, Vanlallawma A, Sarma RJ, Chhakchhuak L, Kalyanaraman S, Mahadevan R, Kandasamy S, Devi P, Rajagopal RE, Ramya JE, Devi PN, Bajaj A, Gupta V, Mathew S, Goswami S, Prakash S, Joshi K, Kumla M, Sreedevi S, Gajjar D, Soraisham R, Yadav R, Devi YS, Gupta A, Mukerji M, Ramalingam S, Binukumar BK, Sivasubbu S, Scaria V. Pharmacogenomic landscape of COVID-19 therapies from Indian population genomes. Pharmacogenomics 2021; 22:603-618. [PMID: 34142560 PMCID: PMC8216321 DOI: 10.2217/pgs-2021-0028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Aim: Numerous drugs are being widely prescribed for COVID-19 treatment without any direct evidence for the drug safety/efficacy in patients across diverse ethnic populations. Materials & methods: We analyzed whole genomes of 1029 Indian individuals (IndiGen) to understand the extent of drug–gene (pharmacogenetic), drug–drug and drug–drug–gene interactions associated with COVID-19 therapy in the Indian population. Results: We identified 30 clinically significant pharmacogenetic variants and 73 predicted deleterious pharmacogenetic variants. COVID-19-associated pharmacogenes were substantially overlapped with those of metabolic disorder therapeutics. CYP3A4, ABCB1 and ALB are the most shared pharmacogenes. Fifteen COVID-19 therapeutics were predicted as likely drug–drug interaction candidates when used with four CYP inhibitor drugs. Conclusion: Our findings provide actionable insights for future validation studies and improved clinical decisions for COVID-19 therapy in Indians.
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Affiliation(s)
- S Sahana
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India
| | - Ambily Sivadas
- Division of Nutrition, St. John's Research Institute, St. John's National Academy of Health Sciences, Bangalore, India
| | - Mohit Mangla
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India.,Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Abhinav Jain
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India.,Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Rahul C Bhoyar
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India
| | - Kavita Pandhare
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India
| | - Anushree Mishra
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India
| | - Disha Sharma
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India
| | - Mohamed Imran
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India.,Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Vigneshwar Senthivel
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India.,Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Mohit Kumar Divakar
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India.,Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Mercy Rophina
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India.,Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Bani Jolly
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India.,Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Arushi Batra
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India.,Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Sumit Sharma
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India
| | - Sanjay Siwach
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India
| | - Arun G Jadhao
- Department of Zoology, RTM Nagpur University, Nagpur, Maharashtra, 440033, India
| | - Nikhil V Palande
- Department of Zoology, Shri Mathuradas Mohota College of Science, Nagpur, Maharashtra, 440009, India
| | - Ganga Nath Jha
- Department of Anthropology, Vinoba Bhave University, Hazaribag, Jharkhand, 825301, India
| | - Nishat Ashrafi
- Department of Anthropology, Vinoba Bhave University, Hazaribag, Jharkhand, 825301, India
| | - Prashant Kumar Mishra
- Department of Biotechnology, Vinoba Bhave University, Hazaribag, Jharkhand, 825301, India
| | - A K Vidhya
- Department of Biochemistry, Dr. Kongu Science & Art College, Erode, Tamil Nadu, 638107, India
| | - Suman Jain
- Thalassemia & Sickle cell Society, Hyderabad, Telangana, 500052, India
| | - Debasis Dash
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India.,Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | | | - Andrew Vanlallawma
- Department of Biotechnology, Mizoram University, Aizawl, Mizoram, 796004, India
| | - Ranjan Jyoti Sarma
- Department of Biotechnology, Mizoram University, Aizawl, Mizoram, 796004, India
| | | | | | - Radha Mahadevan
- TVMC, Tirunelveli Medical College, Tirunelveli, Tamil Nadu, 627011, India
| | - Sunitha Kandasamy
- TVMC, Tirunelveli Medical College, Tirunelveli, Tamil Nadu, 627011, India
| | - Pabitha Devi
- TVMC, Tirunelveli Medical College, Tirunelveli, Tamil Nadu, 627011, India
| | | | - J Ezhil Ramya
- TVMC, Tirunelveli Medical College, Tirunelveli, Tamil Nadu, 627011, India
| | - P Nirmala Devi
- TVMC, Tirunelveli Medical College, Tirunelveli, Tamil Nadu, 627011, India
| | - Anjali Bajaj
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India.,Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Vishu Gupta
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India.,Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Samatha Mathew
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India.,Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Sangam Goswami
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India.,Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Savinitha Prakash
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India
| | - Kandarp Joshi
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India
| | - Meya Kumla
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India
| | - S Sreedevi
- Department of Microbiology, St. Pious X Degree & PG College for Women, Hyderabad, Telangana, 500076, India
| | - Devarshi Gajjar
- Department of Microbiology, The Maharaja Sayajirao University of Baroda, Vadodara, Gujarat, 390002, India
| | - Ronibala Soraisham
- Department of Dermatology, Venereology & Leprology, Regional Institute of Medical Sciences, Imphal, Manipur, 795004, India
| | - Rohit Yadav
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India.,Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Yumnam Silla Devi
- CSIR- North East Institute of Science & Technology, Jorhat, Assam, 785006, India
| | - Aayush Gupta
- Department of Dermatology, Dr. D.Y. Patil Medical College, Pune, Maharashtra, 411018, India
| | - Mitali Mukerji
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India.,Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Sivaprakash Ramalingam
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India.,Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - B K Binukumar
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India.,Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Sridhar Sivasubbu
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India.,Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Vinod Scaria
- CSIR Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India.,Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
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6
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Huyer LD, Mandla S, Wang Y, Campbell S, Yee B, Euler C, Lai BF, Bannerman D, Lin DSY, Montgomery M, Nemr K, Bender T, Epelman S, Mahadevan R, Radisic M. Macrophage immunomodulation through new polymers that recapitulate functional effects of itaconate as a power house of innate immunity. Adv Funct Mater 2021; 31:2003341. [PMID: 33708036 PMCID: PMC7942808 DOI: 10.1002/adfm.202003341] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Indexed: 05/12/2023]
Abstract
Itaconate (ITA) is an emerging powerhouse of innate immunity with therapeutic potential that is limited in its ability to be administered in a soluble form. We developed a library of polyester materials that incorporate ITA into polymer backbones resulting in materials with inherent immunoregulatory behavior. Harnessing hydrolytic degradation release from polyester backbones, ITA polymers resulted in the mechanism specific immunoregulatory properties on macrophage polarization in vitro. In a functional assay, the polymer-released ITA inhibited bacterial growth on acetate. Translation to an in vivo model of biomaterial associated inflammation, intraperitoneal injection of ITA polymers demonstrated a rapid resolution of inflammation in comparison to a control polymer silicone, demonstrating the value of sustained biomimetic presentation of ITA.
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Affiliation(s)
- L. Davenport Huyer
- Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
- Toronto General Research Institute, University Health Network, Toronto, Ontario, Canada
| | - S. Mandla
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
- Toronto General Research Institute, University Health Network, Toronto, Ontario, Canada
| | - Y. Wang
- Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario, Canada
- Toronto General Research Institute, University Health Network, Toronto, Ontario, Canada
| | - S. Campbell
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
- Toronto General Research Institute, University Health Network, Toronto, Ontario, Canada
| | - B. Yee
- Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario, Canada
- Toronto General Research Institute, University Health Network, Toronto, Ontario, Canada
| | - C. Euler
- Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario, Canada
| | - B. F. Lai
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
| | - D. Bannerman
- Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
- Toronto General Research Institute, University Health Network, Toronto, Ontario, Canada
| | - D. S. Y. Lin
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
| | - M. Montgomery
- Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
- Toronto General Research Institute, University Health Network, Toronto, Ontario, Canada
| | - K. Nemr
- Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario, Canada
| | - T. Bender
- Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario, Canada
| | - S. Epelman
- Toronto General Research Institute, University Health Network, Toronto, Ontario, Canada
| | - R. Mahadevan
- Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
| | - M. Radisic
- Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
- Toronto General Research Institute, University Health Network, Toronto, Ontario, Canada
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7
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Mahadevan R, Bhoyar RC, Viswanathan N, Rajagopal RE, Essaki B, Suroliya V, Chelladurai R, Sankaralingam S, Shanmugam G, Vayanakkan S, Shamim U, Mathur A, Jain A, Imran M, Faruq M, Scaria V, Sivasubbu S, Kalyanaraman S. Genomic analysis of patients in a South Indian Community with autosomal dominant cortical tremor, myoclonus and epilepsy suggests a founder repeat expansion mutation in the SAMD12 gene. Brain Commun 2021; 3:fcaa214. [PMID: 33501421 PMCID: PMC7811760 DOI: 10.1093/braincomms/fcaa214] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 10/15/2020] [Accepted: 10/25/2020] [Indexed: 12/11/2022] Open
Abstract
Autosomal Dominant Cortical Tremor, Myoclonus and Epilepsy is a non-progressive disorder characterized by distal tremors. Autosomal Dominant Cortical Tremor, Myoclonus and Epilepsy has been reported globally with different genetic predispositions of autosomal dominant inheritance with a high degree of penetrance. In south India, Autosomal Dominant Cortical Tremor, Myoclonus and Epilepsy has been reported in a large cohort of 48 families, in which the genetic defect was not identified. This report pertains to the whole-genome analysis of four individuals followed by repeat-primed PCR for 102 patients from a familial cohort of 325 individuals. All the patients underwent extensive clinical evaluation including neuropsychological examinations. The whole-genome sequencing was done for two affected and two unaffected individuals, belonging to two different families. The whole-genome sequencing analysis revealed the repeat expansion of TTTTA and TTTCA in intron 4 of the SAMD12 gene located on chromosome 8 in the patients affected with Autosomal Dominant Cortical Tremor, Myoclonus and Epilepsy, whereas the unaffected family members were negative for the similar expansion. Further, the repeat-primed PCR analysis of 102 patients showed the expansion of the TTTCA repeats in the intron 4 of SAMD12 gene. All patients registered for this study belong to a single community called “Nadar” whose nativity is confined to the southern districts of India, with reported unique genetic characteristics. This is the largest and most comprehensive single report on clinically and genetically characterized Autosomal Dominant Cortical Tremor, Myoclonus and Epilepsy patients belonging to a unique ethnic group worldwide.
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Affiliation(s)
- Radha Mahadevan
- Department of Neurology, Tirunelveli Medical College, Tirunelveli 627011, Tamil Nadu, India
| | - Rahul C Bhoyar
- Genomics and Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi 110025, India
| | | | - Raskin Erusan Rajagopal
- Multidisciplinary Research Unit, Tirunelveli Medical College, Tirunelveli 627011, Tamil Nadu, India
| | - Bobby Essaki
- Department of Neurology, Tirunelveli Medical College, Tirunelveli 627011, Tamil Nadu, India
| | - Varun Suroliya
- Genomics and Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi 110025, India
| | - Rachel Chelladurai
- Department of Neurology, Tirunelveli Medical College, Tirunelveli 627011, Tamil Nadu, India
| | | | | | | | - Uzma Shamim
- Genomics and Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi 110025, India
| | - Aradhana Mathur
- Genomics and Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi 110025, India
| | - Abhinav Jain
- Genomics and Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi 110025, India
| | - Mohamed Imran
- Genomics and Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi 110025, India
| | - Mohammed Faruq
- Genomics and Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi 110025, India
| | - Vinod Scaria
- Genomics and Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi 110025, India
| | - Sridhar Sivasubbu
- Genomics and Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi 110025, India
| | - Shantaraman Kalyanaraman
- Multidisciplinary Research Unit, Tirunelveli Medical College, Tirunelveli 627011, Tamil Nadu, India
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8
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Jain A, Bhoyar RC, Pandhare K, Mishra A, Sharma D, Imran M, Senthivel V, Divakar MK, Rophina M, Jolly B, Batra A, Sharma S, Siwach S, Jadhao AG, Palande N, Jha GN, Ashrafi N, Mishra PK, A. K. V, Jain S, Dash D, Kumar NS, Vanlallawma A, Sarma R, Chhakchhuak L, Kalyanaraman S, Mahadevan R, Kandasamy S, B. M. P, Rajagopal RE, J. ER, P. ND, Bajaj A, Gupta V, Mathew S, Goswami S, Mangla M, Prakash S, Joshi K, S. S, Gajjar D, Soraisham R, Yadav R, Devi YS, Gupta A, Mukerji M, Ramalingam S, B. K. B, Scaria V, Sivasubbu S. IndiGenomes: a comprehensive resource of genetic variants from over 1000 Indian genomes. Nucleic Acids Res 2021; 49:D1225-D1232. [PMID: 33095885 PMCID: PMC7778947 DOI: 10.1093/nar/gkaa923] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 10/01/2020] [Accepted: 10/22/2020] [Indexed: 12/15/2022] Open
Abstract
With the advent of next-generation sequencing, large-scale initiatives for mining whole genomes and exomes have been employed to better understand global or population-level genetic architecture. India encompasses more than 17% of the world population with extensive genetic diversity, but is under-represented in the global sequencing datasets. This gave us the impetus to perform and analyze the whole genome sequencing of 1029 healthy Indian individuals under the pilot phase of the 'IndiGen' program. We generated a compendium of 55,898,122 single allelic genetic variants from geographically distinct Indian genomes and calculated the allele frequency, allele count, allele number, along with the number of heterozygous or homozygous individuals. In the present study, these variants were systematically annotated using publicly available population databases and can be accessed through a browsable online database named as 'IndiGenomes' http://clingen.igib.res.in/indigen/. The IndiGenomes database will help clinicians and researchers in exploring the genetic component underlying medical conditions. Till date, this is the most comprehensive genetic variant resource for the Indian population and is made freely available for academic utility. The resource has also been accessed extensively by the worldwide community since it's launch.
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Affiliation(s)
- Abhinav Jain
- CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh 201002, India
| | - Rahul C Bhoyar
- CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India
| | - Kavita Pandhare
- CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India
| | - Anushree Mishra
- CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India
| | - Disha Sharma
- CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India
| | - Mohamed Imran
- CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh 201002, India
| | - Vigneshwar Senthivel
- CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh 201002, India
| | - Mohit Kumar Divakar
- CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh 201002, India
| | - Mercy Rophina
- CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh 201002, India
| | - Bani Jolly
- CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh 201002, India
| | - Arushi Batra
- CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh 201002, India
| | - Sumit Sharma
- CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India
| | - Sanjay Siwach
- CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India
| | - Arun G Jadhao
- Department of Zoology, RTM Nagpur University, Nagpur, Maharashtra 440033, India
| | - Nikhil V Palande
- Department of Zoology, Shri Mathuradas Mohota College of Science, Nagpur, Maharashtra 440009, India
| | - Ganga Nath Jha
- Department of Anthropology, Vinoba Bhave University, Hazaribag, Jharkhand 825301, India
| | - Nishat Ashrafi
- Department of Anthropology, Vinoba Bhave University, Hazaribag, Jharkhand 825301, India
| | - Prashant Kumar Mishra
- Department of Biotechnology, Vinoba Bhave University, Hazaribag, Jharkhand 825301, India
| | - Vidhya A. K.
- Department of Biochemistry, Dr. Kongu Science and Art College, Erode, Tamil Nadu 638107, India
| | - Suman Jain
- Thalassemia and Sickle cell Society, Hyderabad, Telangana 500052, India
| | - Debasis Dash
- CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh 201002, India
| | | | - Andrew Vanlallawma
- Department of Biotechnology, Mizoram University, Aizawl, Mizoram 796004, India
| | - Ranjan Jyoti Sarma
- Department of Biotechnology, Mizoram University, Aizawl, Mizoram 796004, India
| | | | | | - Radha Mahadevan
- TVMC, Tirunelveli Medical College, Tirunelveli, Tamil Nadu 627011, India
| | - Sunitha Kandasamy
- TVMC, Tirunelveli Medical College, Tirunelveli, Tamil Nadu 627011, India
| | - Pabitha B. M.
- TVMC, Tirunelveli Medical College, Tirunelveli, Tamil Nadu 627011, India
| | | | - Ezhil Ramya J.
- TVMC, Tirunelveli Medical College, Tirunelveli, Tamil Nadu 627011, India
| | - Nirmala Devi P.
- TVMC, Tirunelveli Medical College, Tirunelveli, Tamil Nadu 627011, India
| | - Anjali Bajaj
- CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh 201002, India
| | - Vishu Gupta
- CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh 201002, India
| | - Samatha Mathew
- CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh 201002, India
| | - Sangam Goswami
- CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh 201002, India
| | - Mohit Mangla
- CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh 201002, India
| | - Savinitha Prakash
- CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India
| | - Kandarp Joshi
- CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India
| | - Sreedevi S.
- Department of Microbiology, St.Pious X Degree & PG College for Women, Hyderabad, Telangana 500076, India
| | - Devarshi Gajjar
- Department of Microbiology, The Maharaja Sayajirao University of Baroda, Vadodara, Gujarat 390002, India
| | - Ronibala Soraisham
- Department of Dermatology, Venereology and Leprology, Regional Institute of Medical Sciences, Imphal, Manipur 795004, India
| | - Rohit Yadav
- CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh 201002, India
| | - Yumnam Silla Devi
- CSIR- North East Institute of Science and Technology, Jorhat, Assam 785006, India
| | - Aayush Gupta
- Department of Dermatology, Dr. D.Y. Patil Medical College, Pune, Maharashtra 411018, India
| | - Mitali Mukerji
- CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh 201002, India
| | - Sivaprakash Ramalingam
- CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh 201002, India
| | - Binukumar B. K.
- CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh 201002, India
| | - Vinod Scaria
- CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh 201002, India
| | - Sridhar Sivasubbu
- CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh 201002, India
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9
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Mahadevan R, Viswanathan N, Shanmugam G, Sankaralingam S, Essaki B, Chelladurai RP. Autosomal dominant cortical tremor, myoclonus, and epilepsy (ADCME) in a unique south Indian community. Epilepsia 2016; 57:e56-9. [DOI: 10.1111/epi.13303] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/02/2015] [Indexed: 11/29/2022]
Affiliation(s)
- Radha Mahadevan
- Department of Neurology; Tirunelveli Medical College; Tirunelveli Tamilnadu India
| | | | - Ganesan Shanmugam
- Department of Neurology; Tirunelveli Medical College; Tirunelveli Tamilnadu India
| | | | - Bobby Essaki
- Department of Neurology; Tirunelveli Medical College; Tirunelveli Tamilnadu India
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10
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Nayar S, Bhuminathan S, Mahadevan R. Combination restoration in full mouth rehabilitation. J Pharm Bioallied Sci 2015; 7:S288-90. [PMID: 26015735 PMCID: PMC4439695 DOI: 10.4103/0975-7406.155959] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2014] [Revised: 10/31/2014] [Accepted: 11/09/2014] [Indexed: 11/08/2022] Open
Abstract
Successful restoration of the dentition requires plenty of contemporary and conventional treatment techniques and planning and attachment retained partial dentures are one such kind of treatment modality in prosthodontics. Satisfactory restoration in a patient with a partially edentulous situation can be challenging especially when unilateral or bilateral posterior segment of teeth is missing. One such treatment modality is attachment-retained cast partial dentures. The purpose of this article is to provide an overview of a case with maxillary complete denture and opposing cast partial denture with precision attachment.
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Affiliation(s)
- Sanjna Nayar
- Department of Prsothodontics, Sree Balaji Dental College and Hospital, Chennai, Tamil Nadu, India
| | - S Bhuminathan
- Department of Prsothodontics, Sree Balaji Dental College and Hospital, Chennai, Tamil Nadu, India
| | - R Mahadevan
- Department of Prsothodontics, Sree Balaji Dental College and Hospital, Chennai, Tamil Nadu, India
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11
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Nayar S, Bhuminathan S, Bhat WM, Mahadevan R. Relationship between occlusal plane and ala-tragus line in dentate individuals: A Clinical pilot study. J Pharm Bioallied Sci 2015; 7:S95-7. [PMID: 26015765 PMCID: PMC4439725 DOI: 10.4103/0975-7406.155822] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2014] [Revised: 10/31/2014] [Accepted: 11/09/2014] [Indexed: 11/06/2022] Open
Abstract
Many methods have been used to establish the occlusal plane in complete denture prosthodontics. However, no single method seems to be fully accepted. Anteriorly, esthetic considerations help define the occlusal plane, and posteriorly the tongue, retromolar pad, and Stenson's duct are considered. Some dentists bisect the space between the residual ridges. The technique of using the ala-tragus line (Camper's line) to establish the occlusal plane is well documented. However, definitions of the ala-tragus line cause confusion, because the exact points of reference do not agree. For example, the glossary of prosthodontic terms states that the ala-tragus line runs from the inferior border of the ala of the nose to the superior border of the tragus of the ear while Spratley’ describes it as running from the center of the ala to the center of the tragus. This article concerns us the exact relationship between the occlusal plane and ala-tragus line in dentate individuals.
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Affiliation(s)
- Sanjna Nayar
- Department of Prosthodontics, Sree Balaji Dental College and Hospital, Bharath University, Chennai, Tamil Nadu, India
| | - S Bhuminathan
- Department of Prosthodontics, Sree Balaji Dental College and Hospital, Bharath University, Chennai, Tamil Nadu, India
| | - Wasim Manzoor Bhat
- Department of Prosthodontics, Sree Balaji Dental College and Hospital, Bharath University, Chennai, Tamil Nadu, India
| | - R Mahadevan
- Department of Prosthodontics, Sree Balaji Dental College and Hospital, Bharath University, Chennai, Tamil Nadu, India
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12
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Nayar S, Mahadevan R. A Paradigm shift in the concept for making dental impressions. J Pharm Bioallied Sci 2015; 7:S213-5. [PMID: 26015714 PMCID: PMC4439674 DOI: 10.4103/0975-7406.155910] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2014] [Revised: 10/31/2014] [Accepted: 11/09/2014] [Indexed: 11/05/2022] Open
Abstract
Digital dental impression is a revolutionary technological advancement that so surpasses the accuracy and efficiency of former techniques for obtaining replicas of prepared teeth for the purpose of fabricating restorations that its adoption by dentists is rapidly eclipsing the use of elastomeric impression materials. The ultimate goals of dentists dedicated to quality restorative dentistry are to make their treatment of patients as accurate, stressless, and efficient as possible. By elimination of the everyday problems described above, there is no question that the significant advantages of digital impressions will make intraoral digital scanning standard procedure in most dental offices within the next several years. Furthermore, digital impressions have proven to reduce remakes and returns, as well as increase overall efficiency. The patient also benefits by being provided a far more positive experience. Finally, through the use of digital impression making, it has been determined that laboratory products become more consistent and require less chair time at insertion.
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Affiliation(s)
- Sanjna Nayar
- Department of Prsothodontics, Sree Balaji Dental College and Hospital, Chennai, Tamil Nadu, India
| | - R. Mahadevan
- Department of Prsothodontics, Sree Balaji Dental College and Hospital, Chennai, Tamil Nadu, India
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13
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Mohsin S, Mahadevan R, Muraleedhara Kurup G. Free-radical-scavenging activity and antioxidant effect of ascophyllan from marine brown algae Padina tetrastromatica. ACTA ACUST UNITED AC 2014. [DOI: 10.1016/j.bionut.2013.08.006] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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14
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Mohsin S, Kurup GM, Mahadevan R. Effect of ascophyllan from brown algae Padina tetrastromatica on inflammation and oxidative stress in carrageenan-induced rats. Inflammation 2013; 36:1268-78. [PMID: 23760559 DOI: 10.1007/s10753-013-9665-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Sulfated polysaccharide ascophyllan was isolated from the brown algae Padina tetrastromatica and purified by ion-exchange chromatography. Anti-inflammatory effect of ascophyllan fraction against carrageenan-induced paw edema in rats was studied. Paw edema in rats was induced by injecting 0.1 ml, 1 % carrageenan suspension in 0.9 % NaCl solution into the sub-plantar tissue of the right hind paw. Carrageenan caused a significant increase in the activity of inflammatory marker enzymes like lipoxygenases and cyclooxygenase in peripheral blood mononuclear cells and paw tissue and also increased the concentration of prostaglandin E2 (PGE2) and myeloperoxidase (MPO) in paw tissue. When compared to the reference drug diclofenac, ascophyllan fraction-3 (AF3) treatment significantly reduced the activities of anti-inflammatory enzymes, concentration of PGE2 and MPO. AF3 treatment decreased the mRNA level expression of TNF-α and IL-6. Concentration of thiobarbituric acid reactive substances was decreased. Activities of antioxidant enzymes and reduced glutathione level were increased on treatment with AF3. Histopathology of paw tissue showed decreased edema formation and cellular infiltration on supplementation with AF3. Thus the results demonstrated the potential beneficiary effect of ascophyllan fraction on carrageenan-treated rats.
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Affiliation(s)
- Sulaiman Mohsin
- Department of Biochemistry, University of Kerala, Kariavattom, Thiruvananthapuram, 695 581, India
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Venugopal V, Mahadevan R. Disappearing ring in chest cavity. Ann Card Anaesth 2012; 15:163. [PMID: 22508212 DOI: 10.4103/0971-9784.95084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Affiliation(s)
- Vijish Venugopal
- Department of Cardiac Anaesthesia, Moulana Heart Foundation, Ooty Road, Perintalmanna, Kerala, Perintalmanna, India.
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Zhao J, Scheibe TD, Mahadevan R. Model-based analysis of the role of biological, hydrological and geochemical factors affecting uranium bioremediation. Biotechnol Bioeng 2011; 108:1537-48. [DOI: 10.1002/bit.23096] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2010] [Revised: 01/20/2011] [Accepted: 01/24/2011] [Indexed: 11/09/2022]
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Zhao J, Fang Y, Scheibe TD, Lovley DR, Mahadevan R. Modeling and sensitivity analysis of electron capacitance for Geobacter in sedimentary environments. J Contam Hydrol 2010; 112:30-44. [PMID: 19892431 DOI: 10.1016/j.jconhyd.2009.10.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2009] [Revised: 08/07/2009] [Accepted: 10/04/2009] [Indexed: 05/28/2023]
Abstract
In situ stimulation of the metabolic activity of Geobacter species through acetate amendment has been shown to be a promising bioremediation strategy to reduce and immobilize hexavalent uranium [U(VI)] as insoluble U(IV). Although Geobacter species are reducing U(VI), they primarily grow via Fe(III) reduction. Unfortunately, the biogeochemistry and the physiology of simultaneous reduction of multiple metals are still poorly understood. A detailed model is therefore required to better understand the pathways leading to U(VI) and Fe(III) reduction by Geobacter species. Based on recent experimental evidence of temporary electron capacitors in Geobacter we propose a novel kinetic model that physically distinguishes planktonic cells into electron-loaded and -unloaded states. Incorporation of an electron load-unload cycle into the model provides insight into U(VI) reduction efficiency, and elucidates the relationship between U(VI)- and Fe(III)-reducing activity and further explains the correlation of high U(VI) removal with high fractions of planktonic cells in subsurface environments. Global sensitivity analysis was used to determine the level of importance of geochemical and microbial processes controlling Geobacter growth and U(VI) reduction, suggesting that the electron load-unload cycle and the resulting repartition of the microbes between aqueous and attached phases are critical for U(VI) reduction. As compared with conventional Monod modeling approaches without inclusion of the electron capacitance, the new model attempts to incorporate a novel cellular mechanism that has a significant impact on the outcome of in situ bioremediation.
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Affiliation(s)
- Jiao Zhao
- Department of Chemical Engineering and Applied Chemistry, University of Toronto, 200 College Street, Toronto, Canada M5S 3E5
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O'Hara R, Schröder CM, Mahadevan R, Schatzberg AF, Lindley S, Fox S, Weiner M, Kraemer HC, Noda A, Lin X, Gray HL, Hallmayer JF. Serotonin transporter polymorphism, memory and hippocampal volume in the elderly: association and interaction with cortisol. Mol Psychiatry 2007; 12:544-55. [PMID: 17353910 PMCID: PMC2084475 DOI: 10.1038/sj.mp.4001978] [Citation(s) in RCA: 110] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
The s allele variant of the serotonin transporter gene (5-HTT) has recently been observed to moderate the relationship of stress to depression and anxiety. To date no study has considered interactive effects of 5-HTT genotype, stress and hypothalamic-pituitary-adrenal (HPA) function on cognition in healthy, older adults, which may reflect developmental, functional or neurodegenerative effects of the serotonin transporter polymorphism. We investigated whether 5-HTT genotype interacts with cumulative life stress and HPA-axis measures of waking and diurnal cortisol slope to impact cognition in 154 non-depressed, older adults. Structural images of hippocampal volume were acquired on a subsample of 56 participants. The 5-HTT s allele was associated with both significantly lower delayed recall and higher waking cortisol levels. Presence of the s allele interacted with higher waking cortisol to negatively impact memory. We also observed a significant interaction of higher waking cortisol and the s allele on lower hippocampal volume. Smaller hippocampi and higher cortisol were associated with lower delayed recall only in s allele carriers. No impact or interactions of cumulative life stress with 5-HTT or cortisol were observed. This is the first investigation to identify an association of the 5-HTT s allele with poorer memory function in older adults. The interactive effects of the s allele and waking cortisol levels on reduced hippocampal volume and lower memory suggest that the negative effect of the serotonin polymorphism on memory is mediated by the HPA axis. Further, given the significant association of the s allele with higher waking cortisol in our investigation, future studies may be needed to evaluate the impact of the serotonin transporter polymorphism on any neuropsychiatric or behavioral outcome which is influenced by HPA axis function in older adults.
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Affiliation(s)
- R O'Hara
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford University, Stanford, CA 94305-5550, USA.
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Mahadevan R, Bond DR, Butler JE, Esteve-Nuñez A, Coppi MV, Palsson BO, Schilling CH, Lovley DR. Characterization of metabolism in the Fe(III)-reducing organism Geobacter sulfurreducens by constraint-based modeling. Appl Environ Microbiol 2006; 72:1558-68. [PMID: 16461711 PMCID: PMC1392927 DOI: 10.1128/aem.72.2.1558-1568.2006] [Citation(s) in RCA: 246] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Geobacter sulfurreducens is a well-studied representative of the Geobacteraceae, which play a critical role in organic matter oxidation coupled to Fe(III) reduction, bioremediation of groundwater contaminated with organics or metals, and electricity production from waste organic matter. In order to investigate G. sulfurreducens central metabolism and electron transport, a metabolic model which integrated genome-based predictions with available genetic and physiological data was developed via the constraint-based modeling approach. Evaluation of the rates of proton production and consumption in the extracellular and cytoplasmic compartments revealed that energy conservation with extracellular electron acceptors, such as Fe(III), was limited relative to that associated with intracellular acceptors. This limitation was attributed to lack of cytoplasmic proton consumption during reduction of extracellular electron acceptors. Model-based analysis of the metabolic cost of producing an extracellular electron shuttle to promote electron transfer to insoluble Fe(III) oxides demonstrated why Geobacter species, which do not produce shuttles, have an energetic advantage over shuttle-producing Fe(III) reducers in subsurface environments. In silico analysis also revealed that the metabolic network of G. sulfurreducens could synthesize amino acids more efficiently than that of Escherichia coli due to the presence of a pyruvate-ferredoxin oxidoreductase, which catalyzes synthesis of pyruvate from acetate and carbon dioxide in a single step. In silico phenotypic analysis of deletion mutants demonstrated the capability of the model to explore the flexibility of G. sulfurreducens central metabolism and correctly predict mutant phenotypes. These results demonstrate that iterative modeling coupled with experimentation can accelerate the understanding of the physiology of poorly studied but environmentally relevant organisms and may help optimize their practical applications.
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Affiliation(s)
- R Mahadevan
- Genomatica, 5405 Morehouse Dr., Ste. 210, San Diego, CA 92121, USA.
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Abstract
Biological data from high-throughput technologies describing the network components (genes, proteins, metabolites) and their associated interactions have driven the reconstruction and study of structural (topological) properties of large-scale biological networks. In this article, we address the relation of the functional and structural properties by using extensively experimentally validated genome-scale metabolic network models to compute observable functional states of a microorganism and compare the "structure versus function" attributes of metabolic networks. It is observed that, functionally speaking, the essentiality of reactions in a node is not correlated with node connectivity as structural analyses of other biological networks have suggested. These findings are illustrated with the analysis of the genome-scale biochemical networks of three species with distinct modes of metabolism. These results also suggest fundamental differences among different biological networks arising out of their representation and functional constraints.
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Affiliation(s)
- R. Mahadevan
- Genomatica Inc., San Diego, California 92121; and Department of Bioengineering, University of California, La Jolla, California 92093
| | - B. O. Palsson
- Genomatica Inc., San Diego, California 92121; and Department of Bioengineering, University of California, La Jolla, California 92093
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Abstract
Genome-scale constraint-based models of several organisms have now been constructed and are being used for model driven research. A key issue that may arise in the use of such models is the existence of alternate optimal solutions wherein the same maximal objective (e.g., growth rate) can be achieved through different flux distributions. Herein, we investigate the effects that alternate optimal solutions may have on the predicted range of flux values calculated using currently practiced linear (LP) and quadratic programming (QP) methods. An efficient LP-based strategy is described to calculate the range of flux variability that can be present in order to achieve optimal as well as suboptimal objective states. Sample results are provided for growth predictions of E. coli using glucose, acetate, and lactate as carbon substrates. These results demonstrate the extent of flux variability to be highly dependent on environmental conditions and network composition. In addition we examined the impact of alternate optima for growth under gene knockout conditions as calculated using QP-based methods. It was observed that calculations using QP-based methods can show significant variation in growth rate if the flux variability among alternate optima is high. The underlying biological significance and general source of such flux variability is further investigated through the identification of redundancies in the network (equivalent reaction sets) that lead to alternate solutions. Collectively, these results illustrate the variability inherent in metabolic flux distributions and the possible implications of this heterogeneity for constraint-based modeling approaches. These methods also provide an efficient and robust method to calculate the range of flux distributions that can be derived from quantitative fermentation data.
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Affiliation(s)
- R Mahadevan
- Genomatica, Inc., Bioprocessing Division, 5405 Morehouse Drive, Suite 210, San Diego, CA 92121, USA.
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Mahadevan R, Karthikeyan K, Bhat BV, Thappa DM. Restrictive dermopathy - a case report. Indian Pediatr 2002; 39:1149-52. [PMID: 12522278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/28/2023]
Affiliation(s)
- R Mahadevan
- Department of Pediatrics, JIPMER, Pondicherry, India
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Mahadevan R, Lee D, Sakurai H, Zachariah MR. Measurement of Condensed-Phase Reaction Kinetics in the Aerosol Phase Using Single Particle Mass Spectrometry. J Phys Chem A 2002. [DOI: 10.1021/jp025784c] [Citation(s) in RCA: 57] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- R. Mahadevan
- Center for NanoEnergetics Research, Departments of Mechanical Engineering and Chemistry, University of Minnesota, Minneapolis, Minnesota 55455
| | - D. Lee
- Center for NanoEnergetics Research, Departments of Mechanical Engineering and Chemistry, University of Minnesota, Minneapolis, Minnesota 55455
| | - H. Sakurai
- Center for NanoEnergetics Research, Departments of Mechanical Engineering and Chemistry, University of Minnesota, Minneapolis, Minnesota 55455
| | - M. R. Zachariah
- Center for NanoEnergetics Research, Departments of Mechanical Engineering and Chemistry, University of Minnesota, Minneapolis, Minnesota 55455
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Tejani A, Dobias B, Mahadevan R. Osmolar relationships in infantile dehydration. Am J Dis Child 1981; 135:1000-5. [PMID: 7294002 DOI: 10.1001/archpedi.1981.02130350004003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
We studied serum osmolality in 167 consecutive infants admitted for gastroenteritis with 5% or more dehydration. Osmolality was determined by the freezing-point method in a 0.2-mL sample of serum immediately on admission. Forty-one patients (24.6%) had hypo-osmolar dehydration, with a mean osmolality of 257 mOsm/kg (range, 234 to 270 mOsm/kg). Eleven patients (6.5%) had hyperosmolar dehydration, with a mean osmolality of 329 mOsm/kg (range, 312 to 369 mOsm/kg). Simultaneous serum and CSF osmolalities were determined in 14 patients with hypo-osmolar and eight with hyperosmolar dehydration. In patients with hyperosmolar dehydration, serum osmolality correlated well with CSF osmolality, but a poor correlation was seen between serum and CSF sodium levels. Convulsions occurred in two patients in whom the CSF osmolality was greater than the serum osmolality by more than 10 mOsm/kg. Convulsions also occurred in two patients with hypo-osmolar dehydration in whom the CSF osmolality was lower than the serum osmolality by more than 13 mOsm/kg.
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Abstract
We have studied 50 Caucasoid children under 7 years of age with Haemophilus influenzae b disease. Half of the patients (Group A) had invasive disease shown by positive blood and/or spinal fluid culture. The other half (Group B) had noninvasive disease characterized by fever, nasopharyngitis, negative blood culture, and positive throat culture. Age, number of other siblings under 12 years old in the family, immune response, antibody production and genetic markers were compared in the two groups. Significant difference between the two groups was only seen in their genetic markers. HLA-B12 was present in 52% of Group A patients as opposed to 16% in Group B patients (P less than .01). HLA-Bw40 was present in 24% of group B patients and absent in all Group A patients (P less than .01). These findings would suggest that susceptibility and resistance towards developing invasive type b disease may be genetically determined.
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Tejani A, Dobias B, Nangia BS, Mahadevan R. Growth, health, and development after neonatal gut surgery: a long-term follow-up. Pediatrics 1978; 61:685-93. [PMID: 96416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Growth and development data on 19 children who survived gut surgery in the immediate newborn period are presented. The follow-up period ranges from seven months to seven years six months, with a mean of three years eight months. Neonates who undergo gut resection are at a higher risk for delay in height and weight gain compared to those who have gut surgery without resection. Six of the 12 children who had gut resection showed delay in height gain and seven showed delay in weight gain. Of the seven children who had gut surgery but no resection, only one showed delay in height and weight gain after the age of 1 year. An individual approach and careful serial follow-ups are recommended for all children undergoing gut resection in the newborn period. Of the eight children who had psychometric testing in the gut-resected group, only two are normal. Three of the four older children in this group show signs of perceptuomotor defects, suggesting the need for subtesting such children at about 6 years of age so that remedial help, if necessary, may be provided when formal schooling begins.
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Mahadevan R. Cardiothoracic surgery at Stanley Hospital during 1948-53. J Indian Med Assoc 1975; 65:160-3. [PMID: 1214075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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Mahadevan R. Pancreatic Lithiasis. West J Med 1961. [DOI: 10.1136/bmj.2.5248.381-b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Mahadevan R. Pancreatic Cyst Treated by Primary Anastomosis to the Stomach. Ind Med Gaz 1943; 78:278-281. [PMID: 29012254 PMCID: PMC5158519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Affiliation(s)
- R. Mahadevan
- Professor of Operative Surgery, Andhra Medical College, and Surgeon, King George Hospital, Vizagapatam
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Bradfield EWC, Barnard TW, Mahadevan R. Compression Fractures of the Spine. Ind Med Gaz 1928; 63:302-303. [PMID: 29011666 PMCID: PMC5235807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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