Early and differential diagnosis of Alzheimer's disease (AD) is a problem that puzzled many doctors. Reliable markers in easy-assembling samples are of considerable clinical diagnostic value. In this work, laser Raman spectroscopy (LRS) was developed a new method that potentially allows early and differential diagnosis of AD from the platelet sample. Raman spectra of platelets isolated from different ages of AD transgenic mice and non-transgenic controls were collected and analyzed. Multilayer perceptron networks (MLP) classification method was used to classify spectra and establish the diagnostic models. For differential diagnosis, spectra of platelets isolated from AD, Parkinson's disease (PD) and vascular dementia (VD) mice were also discriminated. Two notable spectral differences at 740 and 1654 cm −1 were revealed in the mean spectrum of platelets isolated from AD transgenic mice and the controls. MLP displayed a powerful ability in the classifying of early, advanced AD and the control group, and in differential diagnosis of PD and advanced AD, as well as VD and advanced AD. The results suggest that platelet detecting by LRS coupled with MLP analysis appears to be an easy and accurate method for early and differential diagnosis of AD. This technique could be rapidly promoted from laboratory to the hospital.

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To study the relationship between the local and systemic aerobic fitness parameters, and between the muscle oxygenation and aerobic performance, 16 female finswimmers were recruited and divided into high-level (HL) group and low-level group. Cardiorespiratory function, blood lactate concentration and near infrared spectroscopy muscle oxygenation in the vastus lateralis (VL) were monitored simultaneously during a maximal incremental exercise. We found that the break point (Bp) of the oxygenation index (OI) in the VL (BpVL) had significant correlations with lactate threshold (LT) and gas exchange threshold (GET), and the appearance sequence of the three thresholds was BpVL ≈ LT ≤ GET. When considering different levels, the [Formula: see text] at BpVL, LT and GET were higher in the HL group. During intensive exercise, there were significantly faster [Formula: see text] increase and evidently slower OI decrease in the HL group, suggesting that faster [Formula: see text] increase in the HL group slowed down the muscle deoxygenation and facilitated subjects to cycle to higher workloads. In conclusion, multi-modality approaches combining local and systemic physiological monitoring technologies might provide better explanations of the relationship between local and systemic aerobic fitness parameters, and might be a novel way to analyze the difference between groups of different levels.