Health Wearable Tools and Health Promotion

The application of wearable technology for health purposes is a multidisciplinary research topic. To summarize key contributions and simultaneously identify outstanding gaps in research, the input-mechanism-output (I-M-O) framework was applied to synthesize findings from 275 relevant papers in the period 2010–2021. Eighteen distinct cross-disciplinary themes were identified and organized under the I-M-O framework. Studies that covered input factors have largely been technocentric, exploring the design of various health wearables, with less emphasis on usability. While studies on user acceptance and engagement are increasing, there remains room for growth in user- centric aspects such as engagement. While measurement of physiological health indictors has grown more sophisticated due to sensitivity of sensors and the advancements in predictive algorithms, a rapidly growing area of research is that of measuring and tracking mental states and emotional health.Relatively few studies explore theoretically backed explanations of the role of health wearables, with technocentric theories predicting adoption favored. These mainly focused on mechanisms of adoption, while postadoption use and health behavior change were less explored. As a consequence, compared to adoption mechanisms, there is an opportunity to increase our understanding of the continued use of wearables and their effects on sustained health behavior change. While a range of incentives such as social, feedback, financial, and gamification are being tested, it is worth noting that negative attitudes, such as privacy concerns, are being paid much more attention as well. Output factors were studied in both individual and organizational settings, with the former receiving considerably more attention than the latter. The progress of research on health wearables was discussed from an interdisciplinary angle, and the role of social scientists was highlighted for the advancement of research on wearable health

Cooperative Interaction between the MUC1-C Oncoprotein and the Rab31 GTPase in Estrogen Receptor-Positive Breast Cancer Cells

Rab31 is a member of the Ras superfamily of small GTPases that has been linked to poor outcomes in patients with breast cancer. The MUC1-C oncoprotein is aberrantly overexpressed in most human breast cancers and also confers a poor prognosis. The present results demonstrate that MUC1-C induces Rab31 expression in estrogen receptor positive (ER+) breast cancer cells. We show that MUC1-C forms a complex with estrogen receptor α (ERα) on the Rab31 promoter and activates Rab31 gene transcription in an estrogen-dependent manner. In turn, Rab31 contributes to the upregulation of MUC1-C abundance in breast cancer cells by attenuating degradation of MUC1-C in lysosomes. Expression of an inactive Rab31(S20N) mutant in nonmalignant breast epithelial cells confirmed that Rab31 regulates MUC1-C expression. The functional significance of the MUC1-C/Rab31 interaction is supported by the demonstration that Rab31 confers the formation of mammospheres by a MUC1-C-dependent mechanism. Analysis of microarray databases further showed that (i) Rab31 is expressed at higher levels in breast cancers as compared to that in normal breast tissues, (ii) MUC1+ and ER+ breast cancers have increased levels of Rab31 expression, and (iii) patients with Rab31-positive breast tumors have a significantly decreased ten-year overall survival as compared to those with Rab31-negative tumors. These findings indicate that MUC1-C and Rab31 function in an autoinductive loop that contributes to overexpression of MUC1-C in breast cancer cells

Wearable activity trackers for promoting physical activity : a systematic meta-analytic review

Purpose: Although wearable activity trackers hold a promise of nudging people toward a more active lifestyle, current research reveals inconsistent findings regarding their effectiveness. The objectives of this paper are two-fold: (1) to synthesize evidence on the effects of wearable activity trackers for improving physical activities, and (2) to identify potential moderators of effect size. Methods: A systematic meta-analytic review was conducted. Forty-eight eligible papers based on forty-four distinct trials were identified through a systematic literature search process. Two authors independently extracted information from each study based on predefined data fields. Random-effects meta-analysis, subgroup analysis, and meta-regression analysis were employed. Results: First, interventions with wearable activity trackers significantly increased daily steps and weekly moderate-to-vigorous physical activity but had no impact on light physical activity or sedentary behavior. Second, daily steps and weekly moderate-to-vigorous physical activity were associated with participants’ characteristics (i.e., gender, age, medical condition, and baseline physical activity level) and intervention features (i.e., sensors, modes of expert support, and intervention duration). The identified factors explained 53% of the total variance for weekly moderate-to-vigorous physical activity. Conclusions: The use of wearable activity trackers effectively improves conscious exercise behavior, including daily steps and weekly moderate-to-vigorous physical activity, but not effective for modifying habitual behavior, such as light physical activity and sedentary behavior. We also explicitly show that the extent to which the interventions with wearable activity trackers help users is contingent on the type of users and the design and delivery of interventions. Future studies are called to validate the findings and to offer theoretical explanations.Accepted versionThis work is partly supported by the China Scholarship Council (CSC No.: 201906170120)

The state of wearable health technologies : a transdisciplinary literature review

This review evaluated transdisciplinary empirical research on wearable health technologies using the input-mechanism-output model and addressed a major concern relating to the invasiveness of wearables. The dataset consisted of 250 published papers that investigated wearables for health-related purposes. Papers focused on technological inputs and health output factors, de-emphasizing theoretical mechanisms that could effectively translate the former into the latter. The lack of transdisciplinary research in the field is limiting both identification of effectiveness and evidence of beneficial health outcomes, with a considerable divide between technologists and public health researchers. Privacy concerns relate to increasing trends in collecting data for mental health and physical health, with the latter escalating exponentially. Invasiveness of wearables has increased over time in terms of collected signals and the derived health information, monitoring both users and their social and physical environments. We conclude with reflections for conceptual development, commercial application and policy regulation

Cooperative Interaction between the MUC1-C Oncoprotein and the Rab31 GTPase in Estrogen Receptor-Positive Breast Cancer Cells

Rab31 is a member of the Ras superfamily of small GTPases that has been linked to poor outcomes in patients with breast cancer. The MUC1-C oncoprotein is aberrantly overexpressed in most human breast cancers and also confers a poor prognosis. The present results demonstrate that MUC1-C induces Rab31 expression in estrogen receptor positive (ER+) breast cancer cells. We show that MUC1-C forms a complex with estrogen receptor α (ERα) on the Rab31 promoter and activates Rab31 gene transcription in an estrogen-dependent manner. In turn, Rab31 contributes to the upregulation of MUC1-C abundance in breast cancer cells by attenuating degradation of MUC1-C in lysosomes. Expression of an inactive Rab31(S20N) mutant in nonmalignant breast epithelial cells confirmed that Rab31 regulates MUC1-C expression. The functional significance of the MUC1-C/Rab31 interaction is supported by the demonstration that Rab31 confers the formation of mammospheres by a MUC1-C-dependent mechanism. Analysis of microarray databases further showed that (i) Rab31 is expressed at higher levels in breast cancers as compared to that in normal breast tissues, (ii) MUC1+ and ER+ breast cancers have increased levels of Rab31 expression, and (iii) patients with Rab31-positive breast tumors have a significantly decreased ten-year overall survival as compared to those with Rab31-negative tumors. These findings indicate that MUC1-C and Rab31 function in an autoinductive loop that contributes to overexpression of MUC1-C in breast cancer cells.</p

The Effects of Bagging on Color Change and Chemical Composition in ‘Jinyan’ Kiwifruit (<i>Actinidia chinensis</i>)

To explore the effect of bagging on the nutritional quality and color of kiwifruit (Actinidia spp.), the fruits of yellow-fleshed kiwifruit cultivars were analyzed after bagging treatment. Bagging treatment promoted the degreening of mesocarp and increased brightness. Bagging significantly reduced the accumulation of dry matter, titratable acids, starch, sucrose, fructose, and glucose during kiwifruit development. Additionally, bagging significantly reduced the accumulation of chlorophyll and carotenoids during development, whereas after debagging, the chlorophyll and carotenoid contents were significantly increased. Gene expression analysis showed that during most of the fruit development periods, the chlorophyll biosynthesis genes AcRCBS, AcGLUTR, and AcCHLG, and degradation genes AcCBR, AcPAO, AcPPH, AcCLH, and AcSGR had significantly lower expression levels in bagged fruit. Bagging also inhibited the expression of carotenoid metabolism genes, especially AcSGR and AcLCYB, which may play a key role in the process of fruit development during bagging by decreasing the accumulation of chlorophyll and carotenoids in kiwifruit. Additionally, bagging significantly reduced the content of AsA. The expression of the AsA biosynthesis genes AcPMI2, AcGPP2, and AcGalDH in bagged fruit was significantly lower than in the control, indicating that these may be the key genes responsible for the difference in the accumulation of AsA after bagging

Osteoclast-targeted delivery of anti-miRNA oligonucleotides by red blood cell extracellular vesicles

Osteoporosis (OP) affects millions worldwide but currently cannot be cured. Suppressing the level of miR-214 in osteoclasts by the anti-miRNA oligonucleotide (AMO) anti-miR-214 reverses bone absorption and provides a potential treatment. Here we report a peptide-guided delivery strategy using red blood cell extracellular vesicles (RBCEVs) as the vehicle to realize osteoclast-targeted delivery of anti-miR-214. A bi-functional peptide, TBP-CP05, which binds to both the CD63 on RBCEVs and receptors on osteoclasts, acts as the guide. TBP-CP05 binds with RBCEVs through CP05, displays the TRAP-binding peptide (TBP) on the surface of EVs, and endows RBCEVs with osteoclast-targeting capability both in vitro and in vivo. Intravenous injection of the osteoclast-targeting RBCEVs (OT-RBCEVs) led to the enrichment of EVs in the bone skeleton, significant inhibition of the osteoclast activity, elevated osteoblast activity, and improved bone density in osteoporotic mice. Altogether, this work demonstrates efficient guidance of drug-loaded EVs to the targeted cells in vivo using bi-functional fusion peptides, and showcases that targeted delivery of anti-miR-214 by OT-RBCEVs may be a viable method for OP treatment. SIGNIFICANCE STATEMENT. Surface functionalization of EVs endows these nanovesicles cell-specific targeting property which guides the drug cargos to specific tissues and cells with higher accuracy, longer retention, and minimal off-target effects. Methods to functionalize EVs with minimal procedures are highly desired for clinical applications. Here we present a facile method using a bifunctional fusion peptide to guide RBCEVs to osteoclasts. A simple incubation of the bifunctional peptide and RBCEVs results in osteoclast-targeting RBCEVs (OT-RBCEVs) that effectively deliver anti-miR-214 to osteoclasts in vivo in a mouse model of osteoporosis, bringing a potential therapy to osteoporotic patients. This is, to our knowledge, the first report on peptide functionalization of RBCEVs and osteoclast-targeted delivery using RBCEVs.</p

MUC1-C associates with ERα on the <i>Rab31</i> promoter.

<p>A and B. Lysates from MCF-7 (A) and ZR-75-1 (B) cells left untreated or stimulated with E2 for 24 h were immunoprecipitated with anti-ERα or a control IgG. The precipitates were immunoblotted with anti-MUC1-C or anti-ERα. C. Schema of the <i>Rab31</i> promoter highlighting the positions of the control region (CR) and the proximal region encompassing estrogen response elements (EREs). D and E. Soluble chromatin from MCF-7 (D) and ZR-75-1 (E) cells left untreated or stimulated with E2 for 24 h was precipitated with a control IgG or anti-ERα. The precipitates were analyzed for <i>Rab31</i> promoter ERE or CR sequences (left). The results (mean±SD of three determinations) are expressed as the relative fold enrichment compared to that obtained with the IgG control. In re-ChIP experiments, the anti-ERα precipitates were released, reimmunoprecipitated with anti-MUC1-C, and then analyzed for <i>Rab31</i> promoter sequences (right). The results (mean±SD of three determinations) are expressed as the relative fold enrichment compared to that obtained with the unstimulated control.</p

MUC1 induces Rab31 expression.

<p>A and B. RNA from the indicated MCF-7 (A) and ZR-75-1 (B) cells was analyzed by RT-PCR using primers designed to detect the indicated transcripts (left). RNA was also analyzed for Rab31 mRNA levels by qRT-PCR (right). The results (mean±SD of three determinations) are expressed as relative Rab31 mRNA levels compared to that obtained in the vector cells. C and D. Lysates from the indicated MCF-7 (C) and ZR-75-1 (D) cells were immunoblotted with the indicated antibodies.</p