Background: Apart from massive weight loss, metabolic and bariatric surgery, especially gastric bypass (Roux-en-Y gastric bypass [RYGB]), can cause nutritional deficiencies. Proton pump inhibitors (PPI), relatively often used after RYGB, are associated with reduced calcium absorption. We have studied the long-term impact of PPI upon calcium homeostasis among RYGB patients.
Methods: In the Scandinavian Obesity Surgery Registry (SOReg), 550 primary RYGB patients, with eGFR > 60 mL/min/1.73 m, had PTH and 25-OH D levels registered at 10 years. To avoid the impact of hypovitaminosis D, those with 25-OH D > 75 nmol/L were selected.
Results: At 10 years, 10.3% of patients reported continuous PPI treatment, i.e., daily use during the last month. In an age adjusted logistic regression model, continuous PPI treatment was associated with a quadruple risk (OR: 4.65 [1.54-14.04]) of having a pathological PTH level (> 7 pmol/L).
Conclusion: This unique study has shown a correlation between continuous PPI use and pathological PTH levels, thereby inferring that the medication may have detrimental effects upon calcium homeostasis among gastric bypass patients. The risk of having pathological PTH levels was more than tripled among those with PPI treatment, highlighting the importance of specialized follow-up while also suggesting that a limited duration of PPI treatment is preferable.
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http://dx.doi.org/10.1007/s11695-025-07692-0 | DOI Listing |
Front Immunol
January 2025
Department of Neuro-oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Introduction: Glioma is the most common primary malignant brain tumor. Despite advances in surgical techniques and treatment regimens, the therapeutic effects of glioma remain unsatisfactory. Immunotherapy has brought new hope to glioma patients, but its therapeutic outcomes are limited by the immunosuppressive nature of the tumor microenvironment (TME).
View Article and Find Full Text PDFWorld J Clin Oncol
January 2025
Department of Supportive Oncology, Atrium Health Levine Cancer, Charlotte, NC 28204, United States.
Background: Proton pump inhibitors (PPIs) are widely used, including among cancer patients, to manage gastroesophageal reflux and other gastric acid-related disorders. Recent evidence suggests associations between long-term PPI use and higher risks for various adverse health outcomes, including greater mortality.
Aim: To investigate the association between PPI use and all-cause mortality among cancer patients by a comprehensive analysis after adjustment for various confounders and a robust methodological approach to minimize bias.
Front Genet
January 2025
Department of Orthopedics, First Hospital of Jiaxing, Jiaxing, China.
Background: Ferroptosis-related genes have been reported to play important roles in many diseases, but their molecular mechanisms in osteoporosis have not been elucidated.
Methods: Based on two independent GEO datasets (GSE35956 and GSE35958), and GSE35959 as the validation dataset, we comprehensively elucidated the pathological mechanism of ferroptosis-related genes in osteoporosis by GO analyses, KEGG analyses and a PPI network. Then, We used Western Blot (WB) and Quantitative real-time polymerase chain reaction (qPCR) to verify the expression level of KMT2D, a ferroptosis-related hub gene, in clinical samples.
Rationale: Individuals homozygous for the Alpha-1 Antitrypsin (AAT) Z allele (Pi*ZZ) exhibit heterogeneity in COPD risk. COPD occurrence in non-smokers with AAT deficiency (AATD) suggests inflammatory processes may contribute to COPD risk independently of smoking. We hypothesized that inflammatory protein biomarkers in non-AATD COPD are associated with moderate-to-severe COPD in AATD individuals, after accounting for clinical factors.
View Article and Find Full Text PDFPrediction-powered inference (PPI) [1] and its subsequent development called PPI++ [2] provide a novel approach to standard statistical estimation leveraging machine learning systems to enhance unlabeled data with predictions. We use this paradigm in clinical trials. The predictions are provided by disease progression models, providing prognostic scores for all the participants as a function of baseline covariates.
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