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Comparative proteomics reveals a diagnostic signature for pulmonary head‐and‐neck cancer metastasis
(2018)
Patients with head‐and‐neck cancer can develop both lung metastasis and primary lung cancer during the course of their disease. Despite the clinical importance of discrimination, reliable diagnostic biomarkers are still lacking. Here, we have characterised a cohort of squamous cell lung (SQCLC) and head‐and‐neck (HNSCC) carcinomas by quantitative proteomics. In a training cohort, we quantified 4,957 proteins in 44 SQCLC and 30 HNSCC tumours. A total of 518 proteins were found to be differentially expressed between SQCLC and HNSCC, and some of these were identified as genetic dependencies in either of the two tumour types. Using supervised machine learning, we inferred a proteomic signature for the classification of squamous cell carcinomas as either SQCLC or HNSCC, with diagnostic accuracies of 90.5% and 86.8% in cross‐ and independent validations, respectively. Furthermore, application of this signature to a cohort of pulmonary squamous cell carcinomas of unknown origin leads to a significant prognostic separation. This study not only provides a diagnostic proteomic signature for classification of secondary lung tumours in HNSCC patients, but also represents a proteomic resource for HNSCC and SQCLC.
Cataract surgery is one of the oldest and the most frequent outpatient clinic operations in medicine performed worldwide. The clouded human crystalline lens is replaced by an artificial intraocular lens implanted into the capsular bag. During the last six decades, cataract surgery has undergone rapid development from a traumatic, manual surgical procedure with implantation of a simple lens to a minimally invasive intervention increasingly assisted by high technology and a broad variety of implants customized for each patient’s individual requirements. This review discusses the major advances in this field and focuses on the main challenge remaining – the treatment of presbyopia. The demand for correction of presbyopia is increasing, reflecting the global growth of the ageing population. Pearls and pitfalls of currently applied methods to correct presbyopia and different approaches under investigation, both in lens implant technology and in surgical technology, are discussed.
Early maternal care may counteract familial liability for psychopathology in the reward circuitry
(2018)
Reward processing is altered in various psychopathologies and has been shown to be susceptible to genetic and environmental influences. Here, we examined whether maternal care may buffer familial risk for psychiatric disorders in terms of reward processing. Functional magnetic resonance imaging during a monetary incentive delay task was acquired in participants of an epidemiological cohort study followed since birth (N = 172, 25 years). Early maternal stimulation was assessed during a standardized nursing/playing setting at the age of 3 months. Parental psychiatric disorders (familial risk) during childhood and the participants’ previous psychopathology were assessed by diagnostic interview. With high familial risk, higher maternal stimulation was related to increasing activation in the caudate head, the supplementary motor area, the cingulum and the middle frontal gyrus during reward anticipation, with the opposite pattern found in individuals with no familial risk. In contrast, higher maternal stimulation was associated with decreasing caudate head activity during reward delivery and reduced levels of attention deficit hyperactivity disorder (ADHD) in the high-risk group. Decreased caudate head activity during reward anticipation and increased activity during delivery were linked to ADHD. These findings provide evidence of a long-term association of early maternal stimulation on both adult neurobiological systems of reward underlying externalizing behavior and ADHD during development.
Hintergrund: Im Rahmen der Erforschung von Mechanismen der Presbyopie-Entstehung hat das Interesse an Methoden zur Linsendensitometrie wieder zugenommen. Für spezielle Fragestellungen sind flexible Untersuchungsmethoden notwendig.
Methoden: Basierend auf Aufnahmen mit der Scheimpflug-Kamera Pentacam HR (Oculus, Wetzlar) wurde ein MATLAB-Programm (V7.0, The MathWorks) erstellt, um größere Datenmengen automatisiert auszuwerten. Die Erkennung der Pupillenmitte als Referenzpunkt erfolgt mittels eines Randerkennungsalgorithmus. Als Kennzahlen dienen klassische Parameter der beschreibenden Statistik (Mittel, Minimum, Maximum, Standardabweichung und Variationskoeffizient) für einen definierten rechteckigen Bereich und für die zentrale vertikale Achse.
Ergebnisse: In einer Präliminarserie von 18 Augen war eine automatisierte Messung mit korrekter Pupillenerkennung in 80% der Fälle möglich. Verglichen mit der hersteller-eigenen Software (Pentacam 6.03r11) besitzt das eigene Programm eine erweiterte Spannweite der Messwerte. Die Messwerte können automatisch nach Excel (Microsoft) exportiert werden. Ein modularer Aufbau ermöglicht eine flexible Erweiterung für weitere Fragestellungen (z.B. Quantifizierung von Kern- und Rindentrübungen).
Schlussfolgerungen: Mittels eines selbst programmierten MATLAB-basierten Programmes kann eine automatisierte Messung und Analyse von linsndensitometrischen Parametern durchgeführt werden.