Publications by authors named "Tiina Karla"

Article Synopsis
  • Gastric adenocarcinoma is linked to H. pylori infection and changes in gut microbiota, but the relationship with different tumor types and intestinal microbiota is not well understood, prompting a study of Finnish patients' stool samples.
  • Results indicated that patients with diffuse adenocarcinoma had the lowest gut microbiota diversity, while significant differences in microbiota composition were found across all tumor types compared to healthy controls, particularly with increased Enterobacteriaceae.
  • The study suggests that higher levels of Enterobacteriaceae could serve as a potential marker for gastric tumors, and reduced gut microbiota diversity may indicate more aggressive cancer forms, serving as a possible prognostic indicator.
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Background/aim: Gut microbiota plays an important role in colorectal cancer (CRC) and its composition in CRC patients can be influenced by ethnicity and tumour genomics. Herein, the aim was to study the possible associations of ethnicity and gene mutations with the gut microbiota in CRC patients.

Materials And Methods: Bacterial composition in stool samples of 83 CRC patients and 60 controls from Iran and Finland was studied by 16S rRNA gene sequencing.

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Background: Microbial ecosystems that inhabit the human gut form central component of our physiology and metabolism, regulating and modulating both health and disease. Changes or disturbances in the composition and activity of this gut microbiota can result in altered immunity, inflammation, and even cancer.

Aim: To compare the composition and diversity of gut microbiota in stool samples from patient groups based on the site of neoplasm in the gastrointestinal tract (GIT) and to assess the possible contribution of the bacterial composition to tumorigenesis.

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The actual mobilities and dissociation constants of acidic and basic pharmaceuticals were determined in methanol. Actual mobilities were derived from the dependence of the effective mobilities of the analytes on the pH of the methanolic background electrolyte solution (pH(MeOH)). The pKa values of the pharmaceuticals in methanol (pK(a,MeOH)) were calculated by non-linear curve fitting to the measured mobility values.

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