@article{GoepfertTraubSelletal.2023,
  author    = {G{\"o}pfert, Dennis and Traub, Jan and Sell, Roxane and Homola, Gy{\"o}rgy A. and Vogt, Marius and Pham, Mirko and Frantz, Stefan and St{\"o}rk, Stefan and Stoll, Guido and Frey, Anna},
  title     = {Profiles of cognitive impairment in chronic heart failure—A cluster analytic approach},
  series = {Frontiers in Human Neuroscience},
  volume    = {17},
  journal   = {Frontiers in Human Neuroscience},
  doi       = {10.3389/fnhum.2023.1126553},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-313429},
  year      = {2023},
  abstract  = {Background Cognitive impairment is a major comorbidity in patients with chronic heart failure (HF) with a wide range of phenotypes. In this study, we aimed to identify and compare different clusters of cognitive deficits. Methods The prospective cohort study "Cognition.Matters-HF" recruited 147 chronic HF patients (aged 64.5 ± 10.8 years; 16.2\% female) of any etiology. All patients underwent extensive neuropsychological testing. We performed a hierarchical cluster analysis of the cognitive domains, such as intensity of attention, visual/verbal memory, and executive function. Generated clusters were compared exploratively with respect to the results of cardiological, neurological, and neuroradiological examinations without correction for multiple testing. Results Dendrogram and the scree plot suggested three distinct cognitive profiles: In the first cluster, 42 patients (28.6\%) performed without any deficits in all domains. Exclusively, the intensity of attention deficits was seen in the second cluster, including 55 patients (37.4\%). A third cluster with 50 patients (34.0\%) was characterized by deficits in all cognitive domains. Age (p = 0.163) and typical clinical markers of chronic HF, such as ejection fraction (p = 0.222), 6-min walking test distance (p = 0.138), NT-proBNP (p = 0.364), and New York Heart Association class (p = 0.868) did not differ between clusters. However, we observed that women (p = 0.012) and patients with previous cardiac valve surgery (p = 0.005) prevailed in the "global deficits" cluster and the "no deficits" group had a lower prevalence of underlying arterial hypertension (p = 0.029). Total brain volume (p = 0.017) was smaller in the global deficit cluster, and serum levels of glial fibrillary acidic protein were increased (p = 0.048). Conclusion Apart from cognitively healthy and globally impaired HF patients, we identified a group with deficits only in the intensity of attention. Women and patients with previous cardiac valve surgery are at risk for global cognitive impairment when suffering HF and could benefit from special multimodal treatment addressing the psychosocial condition.},
  language  = {en}
}
@article{TraubGrondeyGassenmaieretal.2022,
  author    = {Traub, Jan and Grondey, Katja and Gassenmaier, Tobias and Schmitt, Dominik and Fette, Georg and Frantz, Stefan and Boivin-Jahns, Val{\´e}rie and Jahns, Roland and St{\"o}rk, Stefan and Stoll, Guido and Reiter, Theresa and Hofmann, Ulrich and Weber, Martin S. and Frey, Anna},
  title     = {Sustained increase in serum glial fibrillary acidic protein after first ST-elevation myocardial infarction},
  series = {International Journal of Molecular Sciences},
  volume    = {23},
  journal   = {International Journal of Molecular Sciences},
  number    = {18},
  issn      = {1422-0067},
  doi       = {10.3390/ijms231810304},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-288261},
  year      = {2022},
  abstract  = {Acute ischemic cardiac injury predisposes one to cognitive impairment, dementia, and depression. Pathophysiologically, recent positron emission tomography data suggest astroglial activation after experimental myocardial infarction (MI). We analyzed peripheral surrogate markers of glial (and neuronal) damage serially within 12 months after the first ST-elevation MI (STEMI). Serum levels of glial fibrillary acidic protein (GFAP) and neurofilament light chain (NfL) were quantified using ultra-sensitive molecular immunoassays. Sufficient biomaterial was available from 45 STEMI patients (aged 28 to 78 years, median 56 years, 11\% female). The median (quartiles) of GFAP was 63.8 (47.0, 89.9) pg/mL and of NfL 10.6 (7.2, 14.8) pg/mL at study entry 0-4 days after STEMI. GFAP after STEMI increased in the first 3 months, with a median change of +7.8 (0.4, 19.4) pg/mL (p = 0.007). It remained elevated without further relevant increases after 6 months (+11.7 (0.6, 23.5) pg/mL; p = 0.015), and 12 months (+10.3 (1.5, 22.7) pg/mL; p = 0.010) compared to the baseline. Larger relative infarction size was associated with a higher increase in GFAP (ρ = 0.41; p = 0.009). In contrast, NfL remained unaltered in the course of one year. Our findings support the idea of central nervous system involvement after MI, with GFAP as a potential peripheral biomarker of chronic glial damage as one pathophysiologic pathway.},
  language  = {en}
}
@article{ZwirnerBohnertFrankeetal.2021,
  author    = {Zwirner, Johann and Bohnert, Simone and Franke, Heike and Garland, Jack and Hammer, Niels and M{\"o}bius, Dustin and Tse, Rexson and Ondruschka, Benjamin},
  title     = {Assessing protein biomarkers to detect lethal acute traumatic brain injuries in cerebrospinal fluid},
  series = {Biomolecules},
  volume    = {11},
  journal   = {Biomolecules},
  number    = {11},
  issn      = {2218-273X},
  doi       = {10.3390/biom11111577},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-248587},
  year      = {2021},
  abstract  = {Diagnosing traumatic brain injury (TBI) from body fluids in cases where there are no obvious external signs of impact would be useful for emergency physicians and forensic pathologists alike. None of the previous attempts has so far succeeded in establishing a single biomarker to reliably detect TBI with regards to the sensitivity: specificity ratio in a post mortem setting. This study investigated a combination of body fluid biomarkers (obtained post mortem), which may be a step towards increasing the accuracy of biochemical TBI detection. In this study, serum and cerebrospinal fluid (CSF) samples from 30 acute lethal TBI cases and 70 controls without a TBI-related cause of death were evaluated for the following eight TBI-related biomarkers: brain-derived neurotrophic factor (BDNF), ferritin, glial fibrillary acidic protein (GFAP), interleukin 6 (IL-6), lactate dehydrogenase, neutrophil gelatinase-associated lipocalin (NGAL), neuron-specific enolase and S100 calcium-binding protein B. Correlations among the individual TBI biomarkers were assessed, and a specificity-accentuated threshold value analysis was conducted for all biomarkers. Based on these values, a decision tree modelling approach was performed to assess the most accurate biomarker combination to detect acute lethal TBIs. The results showed that 92.45\% of acute lethal TBIs were able to be diagnosed using a combination of IL-6 and GFAP in CSF. The probability of detecting an acute lethal TBI was moderately increased by GFAP alone and considerably increased by the remaining biomarkers. BDNF and NGAL were almost perfectly correlated (p = 0.002; R\(^2\) = 0.944). This study provides evidence that acute lethal TBIs can be detected to a high degree of statistical accuracy using forensic biochemistry. The high inter-individual correlations of biomarkers may help to estimate the CSF concentration of an unknown biomarker, using extrapolation techniques.},
  language  = {en}
}