Home calligraphic exercises as manual dexterity training in patients with Parkinson's disease: a pilot feasibility study.

PURPOSE: To assess the feasibility and effects on manual dexterity and the quality of life (QoL) of a 12-week home calligraphic training program in patients with Parkinson's disease (PD). METHODS: A pilot study with participants recruited from the Movement Disorders consultation at the Hospital 12 de Octubre (Madrid). The main outcome, manual dexterity, was assessed using the Purdue Pegboard Test (PPT). Secondary outcomes included clinical rating scales that contemplate aspects related to manual dexterity (DextQ-24, UPDRSII, UPDRSIII), and QoL (PDQ-39 and EuroQoL-5D). RESULTS: Thirty PD patients (57% males) with a mean age of 66.11 (9.76) years and 93% adherence rate. The PPT scores improved significantly (p < 0.0001) from T0 (start of the study) to T1 (after 24 weeks). No statistically significant change was found in DextQ-24, UPDRS-II and UPDRS-III, but a clear improvement was observed in the QoL measurement: EuroQoL-5D (p < 0.0001), PDQ-39 (p < 0.0001) and modified PDQ-39 (p = 0.022). CONCLUSIONS: This is the first study to demonstrate the feasibility and improvement in hand dexterity assessed by the PPT for patients diagnosed with PD after a 12-week home calligraphic training program. A significant improvement was noted in the QoL measurements, such as the PDQ-39, modified PDQ-39, and EuroQoL-5D.Implications for RehabilitationMost patients with Parkinson's disease suffer from impaired manual dexterity, making it difficult to perform activities of daily living such as eating, buttoning, or shaving.A 12-week home calligraphic training program could improve hand dexterity in these patients.The advantage of this home calligraphic trainingis is that it is an easy-to-perform, low-cost and no side effects.This training also improves their quality of life.

Adaptation of the Human Gut Microbiota Metabolic Network During the First Year After Birth.

Predicting the metabolic behavior of the human gut microbiota in different contexts is one of the most promising areas of constraint-based modeling. Recently, we presented a supra-organismal approach to build context-specific metabolic networks of bacterial communities using functional and taxonomic assignments of meta-omics data. In this work, this algorithm is applied to elucidate the metabolic changes induced over the first year after birth in the gut microbiota of a cohort of Spanish infants. We used metagenomics data of fecal samples and nutritional data of 13 infants at five time points. The resulting networks for each time point were analyzed, finding significant alterations once solid food is introduced in the diet. Our work shows that solid food leads to a different pattern of output metabolites that can be potentially released from the gut microbiota to the host. Experimental validation is presented for ferulate, a neuroprotective metabolite involved in the gut-brain axis.