Publications by authors named "T A Pillai"

Recently, the red cotton bug has become a significant menace to cotton in India. With the potential for increased habitat suitability due to predicted temperature rise of 2.5 °C under future climate change in India, this pest could become even more severe in certain regions.

View Article and Find Full Text PDF

Background: Glioblastoma (GBM) is the most aggressive primary brain malignancy with <45% living a year beyond diagnosis. Previously published investigations of long-term survivors (LTS) provided clinical data but rarely incorporated a comprehensive clinical and molecular analysis. Herein, we identify clinical, imaging, molecular, and outcome features for 23 GBM-LTS patients and compare them with a matched cohort of short-term survivors (STS).

View Article and Find Full Text PDF

Influenza A virus (IAV) circulation patterns differ in North America and South America, with influenza seasons often characterized by different subtypes and strains. However, South America is relatively undersampled considering the size of its population. To address this gap, we sequenced the complete genomes of 220 IAVs collected between 2009 and 2016 from hospitalized patients in southern Brazil.

View Article and Find Full Text PDF

Background: This study has analysed the pattern of gut microbiota during the first and third trimesters among pregnant Malay women.

Methods: This was a pilot prospective observational study involving 12 pregnant Malay women without any endocrine disorders and on neither antibiotics nor probiotics. Demographic details and anthropometric measurements were obtained, and the faecal 16S ribosomal ribonucleic acid (rRNA) metagenome microbiota of the first and third trimesters (T1 and T3) were analysed.

View Article and Find Full Text PDF
Article Synopsis
  • Precision health strategies are essential for managing symptom burden in primary brain tumor patients, addressing the complex and diverse nature of their symptoms.
  • The study used network analysis and unsupervised clustering on data from 1,128 patients to uncover symptoms' interconnections, revealing four key dimensions of symptom burden: cognitive, physical, focal neurologic, and affective.
  • The results indicated four patient subgroups, with notable distinctions in their symptom patterns and severities, potentially guiding the development of personalized symptom management approaches in the future.
View Article and Find Full Text PDF