Albumin excretion in olders with and without MetS in exercise

INTRODUCTION: Exercising modifies renal function such as decreased kidney circulation and glomerular filtration in healthy conditions. In young and adults microalbuminuria could be induced by strenuous exercise however the effects of maximal and submaximal exercise on microalbuminuria in elderly (≥65 years) are not well known. We evaluated the effect of different intensities of acute exercise on microalbuminuria in elderly. PURPOSE: We evaluated the effect of different intensities of acute exercise on microalbuminuria in elderly. METHODS: The study involved 20 subjects, 13 men and 7 women (70 ± 5 years-old); they performed 3 bicycle exercise test a week apart of each other: maximal physical exercise (Maxcap-B), and two submaximal tests (Submax-B 80% and Submax-B 60%). In the first session after a 10 h fast, a blood sample was taken to determine serum glucose, creatinine, uric acid, cholesterol and triglycerides and clinical record and basal electrocardiogram and BMI (kg/m2) were also obtained. Urine samples were collected before, immediately after, one hour and 24 hours after exercise to determine microalbuminuria (cutoff, 20-200 mg/l). RESULTS: Healthy old adults were 4 male, the rest of the sample bear metabolic syndrome (MetS). Transient microalbuminuria was observed immediately after all three exercise tests, and 1 hour post-exercise in all individuals; however, it was higher in those with MetS. After 24 hours of exercise, no microalbuminuria was detected. CONCLUSION: Conclusion: The maximal and submaximal exercise (Submax-B 80% and Submax-B 60%) transiently affected renal function in old adults, more importantly in those with metabolic syndrome

Identification of the dynamics of biofouled underwater gliders

Marine growth has been observed to cause a drop in the horizontal and vertical velocities of underwater gliders, thus making them unresponsive and needing immediate recovery. Currently, no strategies exist to correctly identify the onset of marine growth for gliders and only limited datasets of biofouled hulls exist. Here, a field test has been run to investigate the impact of marine growth on the dynamics of underwater gliders. A Slocum glider was deployed first for eight days with drag stimulators to simulate severe biofouling; then the vehicle was redeployed with no additions to the hull for a further 20 days. The biofouling caused a speed reduction due to a significant increase in drag. Additionally, the lower speed causes the steadystate flight stage to last longer and thus a shortening of mission duration. As actual biofouling due to p. pollicipes happened during the deployment, it was possible to develop and test a system that successfully detects and identifies high levels of marine growth on the glider using steady-state flight data. The system will greatly help pilots re-plan missions to safely recover the vehicle if significant biofouling is detected

Apéndice cecal en el saco herniario: Hernia de Garengeot vs Hernia de Amyand. Presentación de casos clínicos

La hernia constituye una consulta frecuente en cirugía. La presencia del apéndice cecal dentro del saco herniario inguinal se denomina hernia de Garengeot. Al contrario, la hernia de Amyand, contiene al apéndice inflamado, simulando una hernia estrangulada. Exponemos dos casos de hernias inguinales que presentaron el apéndice dentro del saco herniario, haciendo una revisión bibliográfica y sugiriendo pautas de tratamiento

Differences in the Use and Opinions About New eHealth Technologies Among Patients With Psychosis: Structured Questionnaire

[EN] Background: Despite a growing interest in the use of technology in order to support the treatment of psychotic disorders, limited knowledge exists about the viability and acceptability of these eHealth interventions in relation to the clinical characteristics of patients. Objective: The objective of this study was to assess the access and use of, as well as experiences and interest in, new technologies using a survey of patients diagnosed with early psychosis compared with a survey of patients diagnosed with chronic psychotic disorders. Methods: We designed a structured questionnaire. This questionnaire was divided into five parts: (1) clinical and demographic information, (2) access and use of the internet, (3) use of the internet in relation to mental health, (4) experiences with technology, and (5) patients¿ interest in eHealth services. In total, 105 patients were recruited from early psychosis units (n=65) and recovery units (n=40). Results: In this study, 84.8% (89/105) of the patients had access to the internet and 88.6% (93/105) owned an electronic internet device. In total, 71.3% (57/80) of patients who owned a mobile phone were interested in eHealth systems and 38.2% (37/97) reported negative experiences related to the internet usage. We observed differences between the groups in terms of device ownership (P=.02), the frequency of internet access (P<.001), the use of social media (P=.01), and seeking health information (P=.04); the differences were found to be higher in the early psychosis group. No differences were found between the groups in terms of the use of internet in relation to mental health, experiences and opinions about the internet, or interest in eHealth interventions (P=.43). Conclusions: The availability and use of technology for the participants in our survey were equivalent to those for the general population. The differences found between the groups in relation to the access or use of technology seemed to due to age-related factors. The use of technology involving mental health and the interest in eHealth interventions were mainly positive and equivalent between the groups. Accordingly, this group of patients is a potential target for the emerging eHealth interventions, regardless of their clinical status. However, 28.7% (23/80) of the studied patients rejected the use of internet interventions and 38.2% (37/97) had unpleasant experiences related to its usage; thus, more in-depth studies are needed to better define the profile of patients with psychosis who may benefit from eHealth treatments.This study was supported by Generalitat Valenciana (PROMETEO/2016/082 grant) and CIBERSAM and Fondo de Investigacion Sanitaria (PI01399, PI13/00447; PI17/00402, Cofunded FEDER).Bonet, L.; Llácer, B.; Hernandez-Viadel, M.; Arce Grilo, AD.; Blanquer Espert, I.; Cañete, C.; Escartí, MJ.... (2018). Differences in the Use and Opinions About New eHealth Technologies Among Patients With Psychosis: Structured Questionnaire. JMIR Mental Health. 5(3):1-12. https://doi.org/10.2196/mental.9950S11253Perkins, D. O., Gu, H., Boteva, K., & Lieberman, J. A. (2005). Relationship Between Duration of Untreated Psychosis and Outcome in First-Episode Schizophrenia: A Critical Review and Meta-Analysis. American Journal of Psychiatry, 162(10), 1785-1804. doi:10.1176/appi.ajp.162.10.1785Marshall, M., & Rathbone, J. (2011). Early intervention for psychosis. Cochrane Database of Systematic Reviews. doi:10.1002/14651858.cd004718.pub3Amos, A. (2012). Assessing the cost of early intervention in psychosis: A systematic review. Australian & New Zealand Journal of Psychiatry, 46(8), 719-734. doi:10.1177/0004867412450470Bonet, L., Izquierdo, C., Escartí, M. J., Sancho, J. V., Arce, D., Blanquer, I., & Sanjuan, J. (2017). Utilización de tecnologías móviles en pacientes con psicosis: una revisión sistemática. Revista de Psiquiatría y Salud Mental, 10(3), 168-178. doi:10.1016/j.rpsm.2017.01.003World Health Organization2007Global Observatory for eHealth http://www.who.int/goe/en/Bucci, S., Barrowclough, C., Ainsworth, J., Morris, R., Berry, K., Machin, M., … Haddock, G. (2015). Using mobile technology to deliver a cognitive behaviour therapy-informed intervention in early psychosis (Actissist): study protocol for a randomised controlled trial. Trials, 16(1). doi:10.1186/s13063-015-0943-3Schlosser, D., Campellone, T., Kim, D., Truong, B., Vergani, S., Ward, C., & Vinogradov, S. (2016). Feasibility of PRIME: A Cognitive Neuroscience-Informed Mobile App Intervention to Enhance Motivated Behavior and Improve Quality of Life in Recent Onset Schizophrenia. JMIR Research Protocols, 5(2), e77. doi:10.2196/resprot.5450Garety, P. A., Ward, T., Freeman, D., Fowler, D., Emsley, R., Dunn, G., … Hardy, A. (2017). SlowMo, a digital therapy targeting reasoning in paranoia, versus treatment as usual in the treatment of people who fear harm from others: study protocol for a randomised controlled trial. Trials, 18(1). doi:10.1186/s13063-017-2242-7Depp, C. A., Harmell, A. L., Vahia, I. V., & Mausbach, B. T. (2015). Neurocognitive and functional correlates of mobile phone use in middle-aged and older patients with schizophrenia. Aging & Mental Health, 20(1), 29-35. doi:10.1080/13607863.2015.1008987National Alliance on Mental Illness (NAMI)2017-10-10Health and Technology Study 2014https://www.nami.org/About-NAMI/Publications-Reports/Survey-Reports/Health-and-Technology-Study-(2014)SmithAThe Smartphone difference: U.S. Smartphone Use in2015Washington, DCPew Research Centrehttp://www.pewinternet.org/2015/04/01/us-smartphone-use-in-2015Tobitt, S., & Percival, R. (2017). Switched on or switched off? A survey of mobile, computer and Internet use in a community mental health rehabilitation sample. Journal of Mental Health, 28(1), 4-10. doi:10.1080/09638237.2017.1340623Firth, J., Cotter, J., Torous, J., Bucci, S., Firth, J. A., & Yung, A. R. (2015). Mobile Phone Ownership and Endorsement of «mHealth» Among People With Psychosis: A Meta-analysis of Cross-sectional Studies. Schizophrenia Bulletin, 42(2), 448-455. doi:10.1093/schbul/sbv132Thomas, N., Foley, F., Lindblom, K., & Lee, S. (2017). Are people with severe mental illness ready for online interventions? Access and use of the Internet in Australian mental health service users. Australasian Psychiatry, 25(3), 257-261. doi:10.1177/1039856217689913Gitlow, L., Abdelaal, F., Etienne, A., Hensley, J., Krukowski, E., & Toner, M. (2017). Exploring the Current Usage and Preferences for Everyday Technology among People with Serious Mental Illnesses. Occupational Therapy in Mental Health, 33(1), 1-14. doi:10.1080/0164212x.2016.1211061Trefflich, F., Kalckreuth, S., Mergl, R., & Rummel-Kluge, C. (2015). Psychiatric patients׳ internet use corresponds to the internet use of the general public. Psychiatry Research, 226(1), 136-141. doi:10.1016/j.psychres.2014.12.037Gay, K., Torous, J., Joseph, A., Pandya, A., & Duckworth, K. (2016). Digital Technology Use Among Individuals with Schizophrenia: Results of an Online Survey. JMIR Mental Health, 3(2), e15. doi:10.2196/mental.5379Berry, N., Lobban, F., Emsley, R., & Bucci, S. (2016). Acceptability of Interventions Delivered Online and Through Mobile Phones for People Who Experience Severe Mental Health Problems: A Systematic Review. Journal of Medical Internet Research, 18(5), e121. doi:10.2196/jmir.5250Birnbaum, M. L., Rizvi, A. F., Correll, C. U., Kane, J. M., & Confino, J. (2015). Role of social media and the Internet in pathways to care for adolescents and young adults with psychotic disorders and non-psychotic mood disorders. Early Intervention in Psychiatry, 11(4), 290-295. doi:10.1111/eip.12237Ben-Zeev, D., Scherer, E. A., Gottlieb, J. D., Rotondi, A. J., Brunette, M. F., Achtyes, E. D., … Kane, J. M. (2016). mHealth for Schizophrenia: Patient Engagement With a Mobile Phone Intervention Following Hospital Discharge. JMIR Mental Health, 3(3), e34. doi:10.2196/mental.6348Kannisto, K. A., Adams, C. E., Koivunen, M., Katajisto, J., & Va lima ki, M. (2015). Feedback on SMS reminders to encourage adherence among patients taking antipsychotic medication: a cross-sectional survey nested within a randomised trial. BMJ Open, 5(11), e008574-e008574. doi:10.1136/bmjopen-2015-008574Instituto Nacional de EstadísticaEncuesta sobre equipamiento y uso de tecnologías de información y comunicación en los hogares2016 http://www.ine.es/dyngs/INEbase/es/operacion.htm?c=Estadistica_C&cid=1254736176741&menu=ultiDatos&idp=1254735976608Robotham, D., Satkunanathan, S., Doughty, L., & Wykes, T. (2016). Do We Still Have a Digital Divide in Mental Health? A Five-Year Survey Follow-up. Journal of Medical Internet Research, 18(11), e309. doi:10.2196/jmir.6511Miller, B. J., Stewart, A., Schrimsher, J., Peeples, D., & Buckley, P. F. (2015). How connected are people with schizophrenia? Cell phone, computer, email, and social media use. Psychiatry Research, 225(3), 458-463. doi:10.1016/j.psychres.2014.11.067Borzekowski, D. L. G., Leith, J., Medoff, D. R., Potts, W., Dixon, L. B., Balis, T., … Himelhoch, S. (2009). Use of the Internet and Other Media for Health Information Among Clinic Outpatients With Serious Mental Illness. Psychiatric Services, 60(9), 1265-1268. doi:10.1176/ps.2009.60.9.1265Aref-Adib, G., O’Hanlon, P., Fullarton, K., Morant, N., Sommerlad, A., Johnson, S., & Osborn, D. (2016). A qualitative study of online mental health information seeking behaviour by those with psychosis. BMC Psychiatry, 16(1). doi:10.1186/s12888-016-0952-0Baup, H., & Verdoux, H. (2017). Frequency and pattern of Internet use in patients with schizophrenia or bipolar disorders seeking medical information. Psychiatry Research, 247, 152-154. doi:10.1016/j.psychres.2016.11.028Digital Marketing Trends (DiTrendia)MT(Informe mobile en España y en el mundo20162018-07-122016 http://www.amic.media/media/files/file_352_1050.pdfLal, S., Dell’Elce, J., Tucci, N., Fuhrer, R., Tamblyn, R., & Malla, A. (2015). Preferences of Young Adults With First-Episode Psychosis for Receiving Specialized Mental Health Services Using Technology: A Survey Study. JMIR Mental Health, 2(2), e18. doi:10.2196/mental.4400Schrank, B., Sibitz, I., Unger, A., & Amering, M. (2010). How Patients With Schizophrenia Use the Internet: Qualitative Study. Journal of Medical Internet Research, 12(5), e70. doi:10.2196/jmir.1550Asociaciónpara la Investigación de Medios de Comunicación (AIMC)Encuesta AIMC a usuarios de internet2017-10-192017 http://www.aimc.es/-Navegantes-en-la-Red-.htmlNowland, R., Necka, E. A., & Cacioppo, J. T. (2017). Loneliness and Social Internet Use: Pathways to Reconnection in a Digital World? Perspectives on Psychological Science, 13(1), 70-87. doi:10.1177/1745691617713052Heinz, A., Deserno, L., & Reininghaus, U. (2013). Urbanicity, social adversity and psychosis. World Psychiatry, 12(3), 187-197. doi:10.1002/wps.20056Alvarez-Jimenez, M., Priede, A., Hetrick, S. E., Bendall, S., Killackey, E., Parker, A. G., … Gleeson, J. F. (2012). Risk factors for relapse following treatment for first episode psychosis: A systematic review and meta-analysis of longitudinal studies. Schizophrenia Research, 139(1-3), 116-128. doi:10.1016/j.schres.2012.05.007Berry, N., Bucci, S., & Lobban, F. (2017). Use of the Internet and Mobile Phones for Self-Management of Severe Mental Health Problems: Qualitative Study of Staff Views. JMIR Mental Health, 4(4), e52. doi:10.2196/mental.8311Bhugra, D., Tasman, A., Pathare, S., Priebe, S., Smith, S., Torous, J., … Ventriglio, A. (2017). The WPA- Lancet Psychiatry Commission on the Future of Psychiatry. The Lancet Psychiatry, 4(10), 775-818. doi:10.1016/s2215-0366(17)30333-4Lachmann, B., Sindermann, C., Sariyska, R. Y., Luo, R., Melchers, M. C., Becker, B., … Montag, C. (2018). The Role of Empathy and Life Satisfaction in Internet and Smartphone Use Disorder. Frontiers in Psychology, 9. doi:10.3389/fpsyg.2018.00398Stodt, B., Brand, M., Sindermann, C., Wegmann, E., Li, M., Zhou, M., … Montag, C. (2018). Investigating the Effect of Personality, Internet Literacy, and Use Expectancies in Internet-Use Disorder: A Comparative Study between China and Germany. International Journal of Environmental Research and Public Health, 15(4), 579. doi:10.3390/ijerph1504057

The cold-sensing ion channel TRPM8 regulates central and peripheral clockwork and the circadian oscillations of body temperature

[Abstract] Aim: Physiological functions in mammals show circadian oscillations, synchronized by daily cycles of light and temperature. Central and peripheral clocks participate in this regulation. Since the ion channel TRPM8 is a critical cold sensor, we investigated its role in circadian function. Methods: We used TRPM8 reporter mouse lines and TRPM8-deficient mice. mRNA levels were determined by in situ hybridization or RT-qPCR and protein levels by immunofluorescence. A telemetry system was used to measure core body temperature (Tc). Results: TRPM8 is expressed in the retina, specifically in cholinergic amacrine interneurons and in a subset of melanopsin-positive ganglion cells which project to the central pacemaker, the suprachiasmatic nucleus (SCN) of the hypothalamus. TRPM8-positive fibres were also found innervating choroid and ciliary body vasculature, with a putative function in intraocular temperature, as shown in TRPM8-deficient mice. Interestingly, Trpm8-/- animals displayed increased expression of the clock gene Per2 and vasopressin (AVP) in the SCN, suggesting a regulatory role of TRPM8 on the central oscillator. Since SCN AVP neurons control body temperature, we studied Tc in driven and free-running conditions. TRPM8-deficiency increased the amplitude of Tc oscillations and, under dim constant light, induced a greater phase delay and instability of Tc rhythmicity. Finally, TRPM8-positive fibres innervate peripheral organs, like liver and white adipose tissue. Notably, Trpm8-/- mice displayed a dysregulated expression of Per2 mRNA in these metabolic tissues. Conclusion: Our findings support a function of TRPM8 as a temperature sensor involved in the regulation of central and peripheral clocks and the circadian control of Tc.Ministerio de Ciencia e Innovación (España); RT2018-099995-B100Ministerio de Ciencia e Innovación (España); AEI/10.13039/501100011033Generalitat Valenciana; PROMETEO/2021/031Ministerio de Asuntos Económicos y Transformación Digital (España); BES-2011-04706

Stevens Johnson´s syndrome induced by leflunomide and methotrexate in a young patient with rheumatoid arthritis

We report a case of StevensJohson´s syndrome secondary to the use os leflunomideand methotrexate in a patient dignosed with rheumatoid arthritis. Treatment withcorticosteroids and cyclosporine were successful and mucose and skin lesions relievedin less than a month. A review of the StevensJohnson´s syndrome in terms ofmanagement is also presented

Antibacterial and Antifungal Activity of Functionalized Cotton Fabric with Nanocomposite Based on Silver Nanoparticles and Carboxymethyl Chitosan

Cotton is the most widely used natural fiber for textiles; however, the capacity of cotton fibers to absorb large amounts of moisture, retain oxygen, and have a high specific surface area makes them more prone to microbial contamination, becoming an appropriate medium for the growth of bacteria and fungi. In recent years, the incorporation of silver nanoparticles in textile products has been widely used due to their broad-spectrum antibacterial activity and low toxicity towards mammalian cells. The aim of the current study is to continue the assessment of our developed nanocomposite and evaluate the antibacterial and antifungal activity of the nanocomposite based on silver nanoparticles and carboxymethyl chitosan (AgNPs-CMC) against Escherichia coli, Staphylococcus aureus, and Candida albicans, evaluated by the well diffusion method. The antibacterial activity against E. coli and S. aureus was also evaluated by the qualitative method of inhibition zone and the quantitative method of colony counting. Likewise, the antifungal activity of the functionalized fabric against Candida albicans and Aspergillus niger was determined by the inhibition zone method and the antifungal activity method GBT 24346-2009, respectively. The functionalized fabric showed 100% antibacterial activity against E. coli and S. aureus and good antifungal activity against C. albicans and A. niger. Our results indicate that the functionalized fabric could be used in garments for hospital use to reduce nosocomial infections

Report of the Special-purpose Committee on Virtual Participation in the Nomenclature Section

The Special-purpose Committee on Virtual Participation in the Nomenclature Section was established by the XIX International Botanical Congress (IBC) in Shenzhen, China in 2017, with the mandate “to investigate the possibility of and mechanisms for virtual participation and voting in the Nomenclature Section of an International Botanical Congress via the internet” and to report to the XX IBC. The wide access to the World Wide Web and availability of software for virtual meetings makes the possibility for virtual (online) attendance and voting at a Nomenclature Section seem attainable and advisable. In order to make informed recommendations, we discussed various aspects of online attendance and voting, such as: who should be able to observe?; what would qualify a person to cast institutional votes and personal votes?; if the accumulation of institutional votes should be allowed by an online voter; registration of online voters; how costs would be covered; and recommendations for online attendees. This report provides a synthesis of our discussions and is necessary for interpreting the proposals of this Special-purpose Committee to change aspects of Div. III (Provisions for governance) of the Code (Landrum & al. in Taxon 70: 1397–1398. 2021). This report and those proposals should be consulted together.Fil: Landrum, Leslie R.. Arizona State University; Estados UnidosFil: Fortunato, Renee Hersilia. Universidad de Morón. Facultad de Agronomía y Ciencias Agroalimentarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Botánica Darwinion. Academia Nacional de Ciencias Exactas, Físicas y Naturales. Instituto de Botánica Darwinion; ArgentinaFil: Barkworth, Mary. State University of Utah; Estados UnidosFil: Breitwieser, Ilse. Manaaki Whenua – Landcare Research; Nueva ZelandaFil: Demissew, Sebsebe. Addis Ababa University; EtiopíaFil: Dönmez, Ali A.. Hacettepe University; TurquíaFil: Dutta, Suchandra. Rishi Dayaram And Seth Hassaram National College And Seth Wassiamull Assomull Science College; IndiaFil: Freire Fierro, Alina. Universidad Regional Amazónica Ikiam; EcuadorFil: Kim, Young Dong. Hallym University; Corea del SurFil: León, Blanca. Universidad Nacional Mayor de San Marcos; PerúFil: Moore, Gerry. United States Department of Agriculture; Estados UnidosFil: Mosyakin, Sergei L.. Academy of Sciences of Ukraine; UcraniaFil: Oh, Sang Hun. Daejeon University; Corea del SurFil: Parra-O, Carlos. Universidad Nacional de Colombia; ColombiaFil: Prado, Jefferson. Instituto de Botânica de Sao Paulo; BrasilFil: Rico Arce, Lourdes. Comisión Nacional para el Conocimiento y Uso de la Biodiversidad; México. Royal Botanic Gardens; Reino UnidoFil: Sennikov, Alexander N.. Russian Academy of Sciences; Rusia. University of Helsinki; FinlandiaFil: Smith, Gideon F.. Nelson Mandela University; Sudáfric

Clinical-epidemiologic variation in patients treated in the first and second wave of COVID-19 in Lambayeque, Peru: A cluster analysis

"Objectives: To identify differences in the clinical and epidemiologic characteristics of patients during the first and second waves of the COVID-19 pandemic at the EsSalud Lambayeque health care network, Peru. Methods: An analytical cross-sectional study of 53,912 patients enrolled during the first and second waves of COVID-19 was conducted. Cluster analysis based on clustering large applications (CLARA) was applied to clinical-epidemiologic data presented at the time of care. The two pandemic waves were compared using clinical-epidemiologic data from epidemiologic surveillance. Results: Cluster analysis identified four COVID-19 groups with a characteristic pattern. Cluster 1 included the largest number of participants in both waves, and the participants were predominantly female. Cluster 2 included patients with gastrointestinal, respiratory, and systemic symptoms. Cluster 3 was the “severe” cluster, characterized by older adults and patients with dyspnea or comorbidities (cardiovascular, diabetes, obesity). Cluster 4 included asymptomatic, pregnant, and less severe patients. We found differences in all clinical-epidemiologic characteristics according to the cluster to which they belonged. Conclusion: Using cluster analysis, we identified characteristic patterns in each group. Respiratory, gastrointestinal, dyspnea, anosmia, and ageusia symptoms were higher in the second COVID-19 wave than the first COVID-19 wave