Objective: This study aims to evaluate plasma S100A9 levels in tuberculosis (TB) patients with admission to the ICU as a marker to predict the risk of death for pulmonary severe TB.
Methods: This study enrolled 256 severe TB patients admitted to Beijing Chest Hospital from Jan to Dec 2019. The S100A9 levels were measured by ELISA. Standard clinical parameters were collected. The non-parametric Mann-Whitney test, -test, and chi-square test were applied to statistical comparison. A multivariable analysis was performed to identify risk factors for death.
Results: The plasma S100A9 levels were higher in non-survivors (25.88, 16.77-44.64) compared to survivors (15.51, 13.67-19.94). S100A9 performed better than Acute Physiology and Chronic Health Evaluation (APACHE II) score in predicting death, with AUC of 0.725, sensitivity of 65.5%, and specificity of 80.3%. By combining APACHE II score together with the S100A9 levels we got an AUC of 0.754 (95% CI 0.68 to 0.82) in predicting death. Lastly, S100A9 levels were significantly higher in patients with APACHE II score >17.5, sputum smear-positive, early death, and high cavitary lesions numbers, all of which were related to TB progression.
Conclusion: Measurement and monitoring levels of plasma S100A9 in severe TB patients could facilitate the evaluation of patients with high risk at the early stage, which may help to improve the treatment outcome for TB patients.
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http://dx.doi.org/10.1016/j.jctube.2021.100270 | DOI Listing |
Cell
January 2025
Department of Systems Immunology, Weizmann Institute of Science, Rehovot, Israel; Division of Microbiome & Cancer, DKFZ, Heidelberg, Germany. Electronic address:
Host-microbiome-dietary interactions play crucial roles in regulating human health, yet their direct functional assessment remains challenging. We adopted metagenome-informed metaproteomics (MIM), in mice and humans, to non-invasively explore species-level microbiome-host interactions during commensal and pathogen colonization, nutritional modification, and antibiotic-induced perturbation. Simultaneously, fecal MIM accurately characterized the nutritional exposure landscape in multiple clinical and dietary contexts.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Allergy and Respiratory Medicine, Okayama University Hospital, 2-5-1 Shikata-cho, Kita-ku, Okayama, Japan.
Blood-based predictive markers for the efficacy of immune checkpoint inhibitors (ICIs) have not yet been established. We investigated the association of the plasma level of S100A8/A9 with the efficacy of immunotherapy. We evaluated patients with unresectable stage III/IV or recurrent non-small cell lung cancer (NSCLC) who were treated with ICIs at Okayama University Hospital.
View Article and Find Full Text PDFiScience
January 2025
INSERM U1287, Université Paris-Saclay, Gustave Roussy Cancer Center, Villejuif, France.
Elevated circulating levels of calprotectin (CAL), the S100A8/A9 heterodimer, are biomarkers of severe systemic inflammation. Here, we investigate the effects of CAL on early human hematopoiesis. CAL demonstrates limited impact on gene expression in stem and progenitor cells, in contrast with interleukin-6 (IL6), which promotes the expression of the and genes in hematopoietic progenitors and the generation of monocytes that release CAL.
View Article and Find Full Text PDFInvest Ophthalmol Vis Sci
January 2025
Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin, China.
Purpose: To investigate the role of S100A8/A9 in the pathogenesis of Sjögren's dry eye disease (SjDED) and explore its potential mechanism of action.
Methods: S100A8/A9 expression was determined by western blot and quantitative real-time polymerase chain reaction (qRT-PCR). Tear secretion, corneal fluorescein staining, and hematoxylin and eosin staining were used to evaluate the effect of paquinimod, a S100A8/A9 inhibitor, on dry eye disease in nonobese diabetic (NOD) mice.
Int J Mol Sci
January 2025
Division of Reproductive Sciences, Department of Obstetrics and Gynecology, Duke University School of Medicine, 701 West Main Street, Suite 510, Duke, P.O. Box 90534, Durham, NC 27701, USA.
The mortality rate of ovarian cancer (OC) remains the highest among female gynecological malignancies. Advanced age is the highest risk factor for OC development and progression, yet little is known about the role of the aged tumor microenvironment (TME). We conducted RNA sequencing and lipidomic analysis of young and aged gonadal adipose tissue from rat xenografts before and after OC formation.
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