RESEARCH PUBLICATIONS

GPMS Transportal Digital ACF Survey:

A Game-Changer in TB Control.

Indian CST Teams, in collaboration with Karnataka State TB Division Teams and NTEP, pioneered the GPMS Transportal Digital ACF Survey Pilot.
This innovative approach leverages ICT for Active Case Finding (ACF), drastically reducing costs and improving data accuracy.

Key Achievements:

1. Screening Coverage: 39,854 people screened across 4 districts (Bengaluru Urban, BBMP, Tumakuru, Chikkaballapura, Kolar)
2. Presumptive TB Cases: 5,414 identified and reported to NIKSHAY
3. Confirmed TB Cases: 5,343 patients confirmed positive and treated
4. Cure Rate: 84% of patients cured after two years (verified by Karnataka Health Department)

Real-Time Dashboard:

The digital ACF survey features a real-time dashboard, enabling:
1. Periodic updates on TB cases reporting on NTEP
2. Real-time tracking of patients and treatments across India

Benefits:

1. Enhanced data accuracy
2. Reduced costs
3. Scalable and low-cost model
4. Improved patient tracking and follow-up
5. Enhanced TB control and elimination efforts

Integration with NTEP:

The GPMS Transportal Digital ACF Survey Pilot's success underscores the importance of integrating technology with public health initiatives.
Regular updates on TB cases and treatment outcomes will facilitate:
1. Data-driven decision-making
2. Effective resource allocation
3. Enhanced patient care

Future Directions:

1. Scale up the GPMS Transportal Digital ACF Survey across India
2. Integrate with existing health information systems
3. Develop predictive analytics for TB case detection
4. Enhance community engagement and awareness

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Breakthrough Research Advances Tuberculosis Surveillance in India:

A groundbreaking research study led by Hon. Dr. Raja Seevan, Chairman and Founder Trustee of the Indian Centre for Social Transformation,
has made significant strides in transforming tuberculosis (TB) surveillance in India.

Key Highlights:

1. Developed a conceptual and methodological framework for a learning surveillance system for TB.
2. Validated the ontology using binary coding of dimensions and elements with metadata from GPMS TB Transportal.
3. Identified enhanced surveillance strategies for GPMS, enumerated as pathways in the ontology.
4. Revealed potential for embedding learning surveillance pathways in digital applications for Direct Benefit Transfer and Drug Resistance Treatment.

Implications:

This research has far-reaching implications for TB surveillance in India, enabling:
1. Real-time data collection and analysis.
2. Enhanced patient outcomes.
3. Improved decision-making for policymakers and healthcare professionals.
4. Support for India's efforts to eliminate TB.

Quote:

"Our research aims to revolutionize TB surveillance in India by developing a learning surveillance system.
We believe this breakthrough will significantly improve patient outcomes and support India's efforts to eliminate TB."
- Hon. Dr. Raja Seevan

Research Publication:

Envisioning a Learning Surveillance System for Tuberculosis PONE-D-20-18176R1.

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Indian CST Research Publication:

Structure based drug discovery for designing leads for the non-toxic metabolic targets in multi drug resistant Mycobacterium tuberculosis.

Abstract:

Tuberculosis (TB) remains a significant global health threat, exacerbated by the emergence of multi-drug resistant (MDR) Mycobacterium tuberculosis strains.
This study employs structure-based drug discovery (SBDD) to identify non-toxic metabolic targets in MDR M. tuberculosis.

Research Highlights

1. Identification of Novel Targets: We identified non-toxic metabolic targets in MDR M. tuberculosis through a comprehensive analysis of its genome and proteome.
2. Structure-Based Drug Design: We employed SBDD techniques to design lead compounds against the identified targets, ensuring optimal binding affinity and specificity.
3. Virtual Screening and Validation: We performed virtual screening of a large compound library and validated the top hits through molecular dynamics simulations and binding free energy calculations.

Implications

This study provides a promising approach for designing effective treatments against MDR M. tuberculosis.
The identified targets and lead compounds offer a valuable starting point for further optimization and development of novel anti-TB therapeutics.

Publication Details

- Title: Structure-Based Drug Discovery for Designing Leads Against Multi-Drug Resistant Mycobacterium tuberculosis
- Authors: Indian Centre for Social Transformation
- Publication Date: 2017 Dec 21

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Indian CST Scientific Publications:

Identification of 20 novel lead molecules including 4 FDA approved drugs.(Click here)

Identified proteins belonging to 81 biological pathways, are targeted by 34 known FDA approved drugs for neuropsychiatric disorders.
(Click here)

Open Source Drug Discovery Consortium. Open source drug discovery(Click here)

Open source drug discovery A new paradigm of collaborative research in tuberculosis drug development(Click here)

Recognition and analysis of protein-coding genes in severe acute respiratory syndrome-associated coronavirus(Click here)

GenoCluster: A novel platform for Comparative Genomics(Click here)

Information technology governance and local public financial management reform : the case of Bangalore, India (Click here)