Diagnosis of chondrosarcoma in a noninvasive way using volatile organic compounds in exhaled breath: a pilot study.

Aim: Aim of this explorative pilot study was to evaluate the capability of an electronic nose (aeoNose, the eNose Company) to classify healthy individuals and patients with chondrosarcoma, based on their volatile organic compound profiles in exhaled breath. Materials & methods: Fifty-seven patients (25 healthy controls, 24 chondrosarcoma and 8 different benign lesions) were included in the study from 2018 to 2023. An artificial neural network was used as classifier. Results: The developed model had a sensitivity of 75%, and a specificity of 65% with an AUC of 0.66. Conclusion: Results show that there is not enough evidence to include the aeoNose as diagnostic biomarker for chondrosarcoma in daily practice. However, the aeoNose might play an additional role alongside MRI, in questionable chondrosarcoma cases.

Noninvasive detection of soft tissue sarcoma using volatile organic compounds in exhaled breath: a pilot study.

Aim: The aim of this pilot study was to assess whether an electronic nose can detect patients with soft tissue sarcoma (STS) based on volatile organic compound profiles in exhaled breath. Patients & methods: In this cross-sectional pilot study, patients with primary STS and healthy controls, matched on sex and age, were included for breath analysis. Machine learning techniques were used to develop the best-fitting model. Results: Fifty-nine breath samples were collected (29 STS and 30 control) from March 2018 to March 2022. The final model yielded a c-statistic of 0.85 with a sensitivity of 83% and specificity of 60%. Conclusion: This study suggests that exhaled volatile organic compound analysis could serve as a noninvasive diagnostic biomarker for the detection of STS with a good performance.

Diagnosing soft tissue sarcoma (STS) among the large number of benign soft tissue tumors is challenging. There is a serious need for a novel and easy tool that could accurately detect patients with STS. This study aimed to assess how well an easy-to-use electronic nose could differentiate between patients with STS and those without STS based on their exhaled breath. This is the first pilot study to reveal that an electronic nose could serve as a diagnostic tool for the detection of STS with a good performance. Future studies are needed to validate the findings in larger cohorts.

An information theoretic approach to insulin sensing by human kidney podocytes.

Podocytes are key components of the glomerular filtration barrier (GFB). They are insulin-responsive but can become insulin-resistant, causing features of the leading global cause of kidney failure, diabetic nephropathy. Insulin acts via insulin receptors to control activities fundamental to GFB integrity, but the amount of information transferred is unknown. Here we measure this in human podocytes, using information theory-derived statistics that take into account cell-cell variability. High content imaging was used to measure insulin effects on Akt, FOXO and ERK. Mutual Information (MI) and Channel Capacity (CC) were calculated as measures of information transfer. We find that insulin acts via noisy communication channels with more information flow to Akt than to ERK. Information flow estimates were increased by consideration of joint sensing (ERK and Akt) and response trajectory (live cell imaging of FOXO1-clover translocation). Nevertheless, MI values were always <1Bit as most information was lost through signaling. Constitutive PI3K activity is a predominant feature of the system that restricts the proportion of CC engaged by insulin. Negative feedback from Akt supressed this activity and thereby improved insulin sensing, whereas sensing was robust to manipulation of feedforward signaling by inhibiting PI3K, PTEN or PTP1B. The decisions made by individual podocytes dictate GFB integrity, so we suggest that understanding the information on which the decisions are based will improve understanding of diabetic kidney disease and its treatment.

A psychometric evaluation of the Chinese version of the Cardiovascular Limitations and Symptoms Profile in patients with coronary heart disease.

AIMS AND OBJECTIVES: The aim of this study was to translate from English and evaluate the validity, reliability and cultural relevance of the Cardiovascular Limitations and Symptoms Profile (CLASP) as a health-related quality-of-life (HRQL) measure in Chinese patients with coronary heart disease. BACKGROUND: Improvement in HRQL is increasingly used as a primary outcome in determining the treatment benefit using a generic instrument. However, disease-specific instruments are being cited as more responsive and sensitive in detecting even the smallest changes in health status. Therefore, valid and reliable disease-specific measures for patients with coronary heart disease are now being developed and evaluated. DESIGN: Questionnaire design. METHODS: The translation equivalence and content validity of the Chinese version of CLASP were evaluated by an expert panel. Measurement performance was tested on a convenience sample of 369 Chinese coronary heart disease patients. RESULTS: The instrument demonstrated good content validity (content validity index 0.94), acceptable internal consistency (>0.70), except for two subscales of angina and tiredness and significant positive correlations among the subscales of CLASP, Hospital Anxiety Depression Scale and the Short Form 36 Health Survey. Principal components analysis revealed nine factors that together explained 69% of the variance. CONCLUSIONS: The results of this study support that CLASP is a valid and reliable disease-specific health status measure for Chinese patients with coronary heart disease. However, further item modifications and testings are needed when considering the cross-cultural context. RELEVANCE TO CLINICAL PRACTICE: The use of disease-specific HRQL measures could effectively evaluate nursing interventions in clinical practice. Further validations of CLASP among different diagnostic groups, such as patients with heart failure and those who have survived an acute myocardial infarction, would provide further empirical support for its use with all patients with heart disorders.

A straightforward modular approach to NLO-active beta-amino vinyl nitrothiophenes

Secondary amines add very efficiently to 2-ethynyl-5-nitrothiophene to give beta-amino vinyl nitrothiophenes, a novel class of push-pull chromophores. According to first HRS measurements these highly solvochromic compounds with relatively short dipole axes display remarkably high static first hyperpolarizabilities = 29-31 x 10(-)(30) esu.

A Boron-Bridged Tetrathiaporphyrinogen.

Lewis acid and Lewis base centers are simultaneously present in the boron-bridged thiophene-containing porphyrinogen 1 that has been synthesized in high yield. Its crystal structure reveals a nonplanar macrocycle; this and the colorless aspect suggest the absence of a delocalized π-electron system. R = NiPr2 .