Disruption of Plasmodium falciparum kinetochore proteins destabilises the nexus between the centrosome equivalent and the mitotic apparatus.

Plasmodium falciparum is the causative agent of malaria and remains a pathogen of global importance. Asexual blood stage replication, via a process called schizogony, is an important target for the development of new antimalarials. Here we use ultrastructure-expansion microscopy to probe the organisation of the chromosome-capturing kinetochores in relation to the mitotic spindle, the centriolar plaque, the centromeres and the apical organelles during schizont development. Conditional disruption of the kinetochore components, PfNDC80 and PfNuf2, is associated with aberrant mitotic spindle organisation, disruption of the centromere marker, CENH3 and impaired karyokinesis. Surprisingly, kinetochore disruption also leads to disengagement of the centrosome equivalent from the nuclear envelope. Severing the connection between the nucleus and the apical complex leads to the formation of merozoites lacking nuclei. Here, we show that correct assembly of the kinetochore/spindle complex plays a previously unrecognised role in positioning the nascent apical complex in developing P. falciparum merozoites.

Blood-based inflammatory protein biomarker panel for the prediction of relapse and severity in patients with neuromyelitis optica spectrum disorder: A prospective cohort study.

BACKGROUND: To date, most existing models for predicting neuromyelitis optica spectrum disorder (NMOSD) are based primarily on clinical characteristics. Blood-based NMOSD severity and prognostic predictive immune- and inflammation-related biomarkers are needed. We aimed to investigate the associations between plasma inflammatory biomarkers and relapse and attack severity in NMOSD. METHODS: This two-step, single-center prospective cohort study included discovery and validation cohorts. We quantified 92 plasma inflammatory proteins by using Olink's proximity extension assay and identified differentially expressed proteins in the relapse group (relapse within 1 year of follow-up) and severe attack group. To define a new molecular prognostic model, we calculated the risk score of each patient based on the key protein signatures and validated the results in the validation cohort. RESULTS: The relapse prediction model, including FGF-23, DNER, GDNF, and SLAMF1, predicted the 1-year relapse risk. The severe attack prediction model, including PD-L1 and MCP-2, predicted the severe clinical attack risk. Both the relapse and severe attack prediction models demonstrated good discriminative ability and high accuracy in the validation cohort. CONCLUSIONS: Our discovered biomarker signature and prediction models may complement current clinical risk stratification approaches. These inflammatory biomarkers could contribute to the discovery of therapeutic interventions and prevent NMOSD progression.

Score-based generative model-assisted information compensation for high-quality limited-view reconstruction in photoacoustic tomography.

Photoacoustic tomography (PAT) regularly operates in limited-view cases owing to data acquisition limitations. The results using traditional methods in limited-view PAT exhibit distortions and numerous artifacts. Here, a novel limited-view PAT reconstruction strategy that combines model-based iteration with score-based generative model was proposed. By incrementally adding noise to the training samples, prior knowledge can be learned from the complex probability distribution. The acquired prior is then utilized as constraint in model-based iteration. The information of missing views can be gradually compensated by cyclic iteration to achieve high-quality reconstruction. The performance of the proposed method was evaluated with the circular phantom and in vivo experimental data. Experimental results demonstrate the outstanding effectiveness of the proposed method in limited-view cases. Notably, the proposed method exhibits excellent performance in limited-view case of 70° compared with traditional method. It achieves a remarkable improvement of 203% in PSNR and 48% in SSIM for the circular phantom experimental data, and an enhancement of 81% in PSNR and 65% in SSIM for in vivo experimental data, respectively. The proposed method has capability of reconstructing PAT images in extremely limited-view cases, which will further expand the application in clinical scenarios.

Probing ligand conformation and net dimensionality in a series of tetraphenylethene-based metal-organic frameworks.

Tetraphenylethene-based ligands with lowered symmetry are promising building blocks for the construction of novel luminescent metal-organic frameworks (MOFs). However, few examples have been reported, and predicting the ligand conformation and the dimensionality of the resulting MOF remains challenging. In order to uncover how synthetic conditions and accessible ligand conformations may affect the resulting MOF structure, four new MOF structures were synthesized under solvothermal conditions using the meta-coordinated tetraphenylethene-based ligand m-ETTC and paddlewheel SBUs composed of Co(II), Cu(II), and Zn(II). WSU-10 (WSU = Washington State University) is formed with either Zn or Cu comprising stacked psuedo-2D layers. The dimensionality of WSU-10 can be intentionally increased through the addition of pyrazine as a pillar ligand into the synthesis, forming the 3D structure WSU-11. The third structure, WSU-20, is formed by the combination of Zn or Co with m-ETTC and is intrinsically 3D without the use of a pillar ligand; interestingly, this is the result of a distortion in the paddlewheel SBU. Finally, Cu was also found to form a new structure (WSU-12), which displays an m-ETTC conformation unique from that found in the other isolated MOFs. Structural features are compared across the series and a mechanistic relationship between WSU-10 and -20 is proposed, providing insight into the factors that can encourage the generation of frameworks with increased dimensionality.

Phase-separated porous nanocomposite with ultralow percolation threshold for wireless bioelectronics.

Realizing the full potential of stretchable bioelectronics in wearables, biomedical implants and soft robotics necessitates conductive elastic composites that are intrinsically soft, highly conductive and strain resilient. However, existing composites usually compromise electrical durability and performance due to disrupted conductive paths under strain and rely heavily on a high content of conductive filler. Here we present an in situ phase-separation method that facilitates microscale silver nanowire assembly and creates self-organized percolation networks on pore surfaces. The resultant nanocomposites are highly conductive, strain insensitive and fatigue tolerant, while minimizing filler usage. Their resilience is rooted in multiscale porous polymer matrices that dissipate stress and rigid conductive fillers adapting to strain-induced geometry changes. Notably, the presence of porous microstructures reduces the percolation threshold (Vc = 0.00062) by 48-fold and suppresses electrical degradation even under strains exceeding 600%. Theoretical calculations yield results that are quantitatively consistent with experimental findings. By pairing these nanocomposites with near-field communication technologies, we have demonstrated stretchable wireless power and data transmission solutions that are ideal for both skin-interfaced and implanted bioelectronics. The systems enable battery-free wireless powering and sensing of a range of sweat biomarkers-with less than 10% performance variation even at 50% strain. Ultimately, our strategy offers expansive material options for diverse applications.

Depression, anxiety, and insomnia symptoms among Chinese college students: A network analysis across pandemic stages.

BACKGROUND: As the stages of the COVID-19 pandemic evolved, the symptoms of depression, anxiety, and insomnia have increasingly manifested among Chinese college students. The aim of this study is to investigate the relationships between these symptoms through network analysis among Chinese college students during COVID-19. METHOD: A three-wave cross-sectional survey was conducted at 22 colleges in Guangdong Province, involving 381,152 students during three specific time intervals: T1 (baseline, February 3 to 10, 2020), T2 (19 months after baseline, June 10 to 18, 2021), and T3 (37 months after baseline, March 15 to April 22, 2023). Depression (PHQ-9), anxiety (GAD-7), and insomnia (YSIS) were used separately. We analyzed two key network indices: "Expected influence" and "Bridge expected influence". Network stability was assessed through a case-dropping bootstrap program. RESULT: The effective sample sizes for the three periods were as follows: T1 - 164,101 (103,645 females, 63.2 %), T2 - 86,767 (52,146 females, 60.1 %), and T3 - 130,284 (76,720 females, 58.9 %). Across these three periods, the key central symptoms were "Fatigue" (PHQ4), "Restlessness" (GAD5), "Uncontrollable worrying" (GAD2), "Worry too much" (GAD3) and "Sleep insufficiency" (YSIS6). Notably, "Fatigue" (PHQ4), "Restlessness" (GAD5) and "Irritability" (GAD6) consistently served as bridge symptoms. In the T1 and T2 period, "Motor" (PHQ8) acted as a bridge symptom but weakened in T3. CONCLUSION: Throughout the three periods, the mental health issues among Chinese college students displayed characteristics of somatization within the depression-anxiety-insomnia comorbidity network. Over time, anxiety symptoms appeared to become more prominent. Consequently, this study highlights the importance of accurately identifying and promptly intervening in these core symptoms of mental health among college students, as these symptoms may evolve across different stages of a pandemic.

GPR41 deficiency aggravates type 1 diabetes in streptozotocin-treated mice by promoting dendritic cell maturation.

Disturbances in intestinal immune homeostasis predispose susceptible individuals to type 1 diabetes (T1D). G-protein-coupled receptor 41 (GPR41) is a receptor for short-chain fatty acids (SCFAs) mainly produced by gut microbiota, which plays key roles in maintaining intestinal homeostasis. In this study, we investigated the role of GPR41 in the progression of T1D. In non-obese diabetic (NOD) mice, we found that aberrant reduction of GPR41 expression in the pancreas and colons was associated with the development of T1D. GPR41-deficient (Gpr41-/-) mice displayed significantly exacerbated streptozotocin (STZ)-induced T1D compared to wild-type mice. Furthermore, Gpr41-/- mice showed enhanced gut immune dysregulation and increased migration of gut-primed IFN-γ+ T cells to the pancreas. In bone marrow-derived dendritic cells from Gpr41-/- mice, the expression of suppressor of cytokine signaling 3 (SOCS) was significantly inhibited, while the phosphorylation of STAT3 was significantly increased, thus promoting dendritic cell (DC) maturation. Furthermore, adoptive transfer of bone marrow-derived dendritic cells (BMDC) from Gpr41-/- mice accelerated T1D in irradiated NOD mice. We conclude that GPR41 is essential for maintaining intestinal and pancreatic immune homeostasis and acts as a negative regulator of DC maturation in T1D. GPR41 may be a potential therapeutic target for T1D.

A physicochemical-sensing electronic skin for stress response monitoring.

Approaches to quantify stress responses typically rely on subjective surveys and questionnaires. Wearable sensors can potentially be used to continuously monitor stress-relevant biomarkers. However, the biological stress response is spread across the nervous, endocrine, and immune systems, and the capabilities of current sensors are not sufficient for condition-specific stress response evaluation. Here we report an electronic skin for stress response assessment that non-invasively monitors three vital signs (pulse waveform, galvanic skin response and skin temperature) and six molecular biomarkers in human sweat (glucose, lactate, uric acid, sodium ions, potassium ions and ammonium). We develop a general approach to prepare electrochemical sensors that relies on analogous composite materials for stabilizing and conserving sensor interfaces. The resulting sensors offer long-term sweat biomarker analysis of over 100 hours with high stability. We show that the electronic skin can provide continuous multimodal physicochemical monitoring over a 24-hour period and during different daily activities. With the help of a machine learning pipeline, we also show that the platform can differentiate three stressors with an accuracy of 98.0%, and quantify psychological stress responses with a confidence level of 98.7%.

Effectiveness of mindfulness-based intervention in schizophrenia: A meta-analysis of randomized controlled trials.

Schizophrenia poses significant societal challenges, including interpersonal tension, an increased risk of suicide, and soaring medical costs. Although antipsychotics can prevent relapses, they often give rise to adverse effects and do not provide lasting relief. Mindfulness-based interventions (MBI) emerge as a hopeful avenue for improving outcomes. However, existing research and meta-analyses of the efficacy of MBI in schizophrenia remain limited. This study aimed to evaluate the efficacy of MBI as an adjunctive therapy for schizophrenia. Relevant randomized controlled trials (RCTs) were searched across PubMed, Embase, Web of Science, and Cochrane Library from inception dates up to January 12, 2023. Statistical analyses were conducted using Stata software (version 15.0) and Review Manager 5.4. The quality of the included RCTs was assessed using the revised Cochrane risk of bias tool. A total of 18 RCTs were included, with 675 patients and 704 health controls. Our meta-analysis revealed that MBI significantly improved psychosocial function, insight, and mindfulness in individuals with schizophrenia. The quality of the included RCTs had a low to moderate risk of bias. These findings suggest that MBI holds promise for improving the mental health of individuals with schizophrenia.

Surface thermodynamics of yttrium titanate pyrochlore nanomaterials.

Nanocrystalline pyrochlore materials have been investigated for their enhanced radiation tolerance as ceramic nuclear waste hosts. In this work, we study the thermodynamic driving force of nano-scale materials for radiation resistance. The size dependent thermodynamic properties of a series of Y2Ti2O7 nanoparticles were investigated. Samples were synthesized by a sol-gel method and characterized by synchrotron X-ray diffraction, BET analysis, and thermogravimetric analysis. The surface and interface enthalpies of Y2Ti2O7 were determined by high temperature oxide melt drop solution calorimetry to be 4.07 J m-2 and 3.04 J m-2, respectively. The experimentally obtained surface energy is in good agreement with computationally derived average surface energies for yttrium and other rare-earth titanate pyrochlores. Theoretical links between nanoparticle stability, surface energy, and radiation resistance of pyrochlore materials were then explored.

Uranyl uptake into metal-organic frameworks: a detailed X-ray structural analysis.

Metal-organic frameworks (MOF) are a subclass of porous framework materials that have been used for a wide variety of applications in sensing, catalysis, and remediation. Among these myriad applications is their remarkable ability to capture substances in a variety of environments ranging from benign to extreme. Among the most common and problematic substances found throughout the world's oceans and water supplies is [UO2]2+, a common mobile ion of uranium, which is found both naturally and as a result of anthropogenic activities, leading to problematic environmental contamination. While some MOFs possess high capability for the uptake of [UO2]2+, many more of the thousands of MOFs and their modifications that have been produced over the years have yet to be studied for their ability to uptake [UO2]2+. However, studying the thousands of MOFs and their modifications presents an incredibly difficult task. As such, a way to narrow down the numbers seems imperative. Herein, we evaluate the binding behaviors as well as identify the specific binding sites of [UO2]2+ incorporated into six different Zr MOFs to elucidate specific features that improve [UO2]2+ uptake. In doing so, we also present a method for the determination and verification of these binding sites by Anomalous wide-angle X-ray scattering, X-ray fluorescence, and X-ray absorption spectroscopy. This research not only presents a way for future research into the uptake of [UO2]2+ into MOFs to be conducted but also a means to evaluate MOFs more generally for the uptake of other compounds to be applied for environmental remediation and improvement of ecosystems globally.

Exploitation of inland salt lake water by dilution and nutrient enrichment to cultivate Vischeria sp. WL1 (Eustigmatophyceae) for biomass and oil production.

Salt lakes are significant components of global inland waters. Salt lake (SL) water can provide precious mineral resource for microbial growth. The prospect of utilizing diluted SL water for cultivation of a terrestrial oil-producing microalga Vischeria sp. WL1 was evaluated under laboratory conditions. Based on the detected mineral element composition, the water from Gouchi Salt Lake was diluted 2, 4, 6 and 8 folds and used with supplementation of additional nitrogen, phosphorus and iron (SL+ water). It was found that 4 folds diluted SL+ water was most favorable for biomass and oil production. When cultivated in this condition, Vischeria sp. WL1 gained a biomass yield of 0.82 g L-1 and an oil yield of 0.56 g L-1 after 24 days of cultivation, which is comparable to the optimum productivity we previously established. In addition, total monounsaturated fatty acid contents (64.4∼68.1 %) of the oils resulted from cultures in diluted SL+waters were higher than that in the control (55.5 %). It was also noteworthy that in all these cultures the oil contents (652.0∼681.0 mg g-1) accounted for the most of the biomass, which are far more than the protein and starch contents. This study demonstrates the feasibility of using SL water as a cost-effective mineral resource to cultivate microalgae for biomass and oil production.

D-dimer, C-reactive protein and matrix metalloproteinase 9 for prediction of type A aortic dissection patient survival.

AIMS: Acute type A aortic dissection (ATAAD) is a life-threatening condition requiring prompt diagnosis and treatment. Surgery is an effective treatment for ATAAD, but the in-hospital mortality rate in the 30 day perioperative period is still as high as 9-30%. It is critical to identify biological factors for preoperative assessment of post-operative survival in patients with ATAAD. METHODS AND RESULTS: This is a retrospective study, investigating the association of combined measurements of d-dimer, C-reactive protein (CRP), and matrix metalloproteinase 9 (MMP9) for 1 year of survival in patients with ATAAD. Data from 247 patients who underwent surgery were analysed, including 89 patients who did not survive and 158 patients who survived within 1 year after surgery. Pearson's correlation analysis was carried out to determine the correlations between CRP in whole blood, d-dimer in plasma, and CRP in whole blood. Receiver operating characteristic (ROC) analysis was used to analyse the value of preoperative whole blood CRP, plasma d-dimer, and serum MMP9 concentration and the combined detection model in predicting death of patients with ATAAD. Deceased patients with ATAAD exhibited higher age, hypertension prevalence, systolic blood pressure, white blood cell count, whole blood CRP, plasma d-dimer, and serum MMP9 levels compared with survivors. Preoperative CRP, d-dimer, and MMP9 levels were significantly higher in patients with ATAAD compared with healthy controls. Positive correlations were observed between CRP and d-dimer, CRP and MMP9, and d-dimer and MMP9 in patients with ATAAD. ROC analysis showed that the combined detection model of CRP, d-dimer, and MMP9 had the highest predictive value for 1 year of survival (area under the curve = 0.88). CONCLUSIONS: Combined measurement of CRP, d-dimer, and MMP9 is associated with 1 year of survival in patients with ATAAD.

A wearable aptamer nanobiosensor for non-invasive female hormone monitoring.

Personalized monitoring of female hormones (for example, oestradiol) is of great interest in fertility and women's health. However, existing approaches usually require invasive blood draws and/or bulky analytical laboratory equipment, making them hard to implement at home. Here we report a skin-interfaced wearable aptamer nanobiosensor based on target-induced strand displacement for automatic and non-invasive monitoring of oestradiol via in situ sweat analysis. The reagentless, amplification-free and 'signal-on' detection approach coupled with a gold nanoparticle-MXene-based detection electrode offers extraordinary sensitivity with an ultra-low limit of detection of 0.14 pM. This fully integrated system is capable of autonomous sweat induction at rest via iontophoresis, precise microfluidic sweat sampling controlled via capillary bursting valves, real-time oestradiol analysis and calibration with simultaneously collected multivariate information (that is, temperature, pH and ionic strength), as well as signal processing and wireless communication with a user interface (for example, smartphone). We validated the technology in human participants. Our data indicate a cyclical fluctuation in sweat oestradiol during menstrual cycles, and a high correlation between sweat and blood oestradiol was identified. Our study opens up the potential for wearable sensors for non-invasive, personalized reproductive hormone monitoring.

Intimate partner violence and its associations among HIV-infected MSM with new drug abuse in Jinan, China.

BACKGROUND: Intimate Partner Violence (IPV) is prevalent among HIV-infected men who have sex with men (MSM), with well-established risk factors and adverse outcomes. However, there is a lack of comprehensive investigation of both upstream risk factors and downstream adverse outcomes among HIV-infected MSM in a Chinese context. This study aimed to examine IPV and its associations among a Chinese sample of HIV-infected MSM. METHODS: A cross-sectional study was conducted among 294 HIV-infected MSM in Jinan City from June to December 2020. All data were collected through an online questionnaire, which included IPV, sexual risk behavior, antiretroviral therapy (ART) adherence, depression, anxiety, and suicidal ideation. Chi-square tests and multivariate logistic regressions were performed to examine risk factors and adverse outcomes of IPV. RESULTS: Of the 294 HIV-infected MSM, 71.1% experienced any IPV, including control (37.1%), threat of public identity (30.6%), emotional violence (25.2%), security threat (18.4%), and physical violence (13.9%). The prevalence of sexual risk behavior, good ART adherence, depression, anxiety, and suicidal ideation was 55.1%, 53.4%, 48.3%, 32.3%, and 65.0%, respectively. Abuse of methamphetamine (METH) (aOR:2.79; 95%CI:1.43 ~ 5.45), capsule 0 or stimulating liquid (aOR:2.68; 95%CI:1.31 ~ 5.47), Magu (aOR:3.16; 95%CI:1.51 ~ 6.60), and other new drugs (aOR:2.87; 95%CI:1.52 ~ 5.43), disclosing HIV infection to partners (aOR:2.03; 95%CI:1.10 ~ 3.78), and gay sexual orientation (aOR = 3.32; 95%CI: 1.82 ~ 6.05) were significantly correlated with the experience of IPV. In addition, IPV was significantly associated with sexual risk behavior (aOR = 2.02; 95%CI:1.16 ~ 3.53), ART adherence (aOR = 2.63; 95%CI:1.46 ~ 4.74), depression (aOR = 3.83; 95%CI:2.09 ~ 7.02), anxiety (aOR = 2.27; 95%CI:1.19 ~ 4.35), and suicidal ideation (aOR = 3.78; 95%CI:2.11 ~ 6.80). CONCLUSIONS: IPV is prevalent among HIV-infected MSM and is associated with poor behavioral and mental health, highlighting more efforts are needed to address this issue. The finding that new drug abuse, HIV disclosure, and gay sexual orientation are associated with increased risk of IPV provides essential insights for the development of comprehensive and targeted IPV prevention and intervention programs in the future.

Sestrin2 in diabetes and diabetic complications.

Diabetes is a global health problem which is accompanied with multi-systemic complications. It is of great significance to elucidate the pathogenesis and to identify novel therapies of diabetes and diabetic complications. Sestrin2, a stress-inducible protein, is primarily involved in cellular responses to various stresses. It plays critical roles in regulating a series of cellular events, such as oxidative stress, mitochondrial function and endoplasmic reticulum stress. Researches investigating the correlations between Sestrin2, diabetes and diabetic complications are increasing in recent years. This review incorporates recent findings, demonstrates the diverse functions and regulating mechanisms of Sestrin2, and discusses the potential roles of Sestrin2 in the pathogenesis of diabetes and diabetic complications, hoping to highlight a promising therapeutic direction.

[Effectiveness of robot-guided percutaneous fixation and decompression via small incision for advanced thoracolumbar metastases].

Objective: To evaluate the effectiveness of robot-guided percutaneous fixation and decompression via small incision in treatment of advanced thoracolumbar metastases. Methods: A clinical data of 57 patients with advanced thoracolumbar metastases admitted between June 2017 and January 2021 and met the selection criteria was retrospectively analyzed. Among them, 26 cases were treated with robot-guided percutaneous fixation and decompression via small incision (robot-guided group) and 31 cases with traditional open surgery (traditional group). There was no significant difference in gender, age, body mass index, lesion segment, primary tumor site, and preoperative Tokuhashi score, Tomita score, Spinal Instability Neoplastic Score (SINS), visual analogue scale (VAS) score, Oswestry disability index (ODI), Karnofsky score, and Frankel grading between groups ( P>0.05). The operation time, hospital stays, hospital expenses, intraoperative blood loss, postoperative drainage volume, duration of intensive care unit (ICU) stay, blood transfusion, complications, and survival time were compared. The pedicle screw placement accuracy was evaluated according to the Gertzbein-Robbins grading by CT within 4 days after operation. The pain, function, and quality of life were evaluated by VAS score, ODI, Karnofsky score, and Frankel grading. Results: During operation, 257 and 316 screws were implanted in the robot-guided group and the traditional group, respectively; and there was no significant difference in pedicle screw placement accuracy between groups ( P>0.05). Compared with the traditional group, the operation time, hospital stays, duration of ICU stay were significantly shorter, and intraoperative blood loss and postoperative drainage volume were significantly lesser in the robot-guided group ( P<0.05). There was no significant difference in hospital expenses, blood transfusion rate, and complications between groups ( P>0.05). All patients were followed up 8-32 months (mean, 14 months). There was no significant difference in VAS scores between groups at 7 days after operation ( P>0.05), but the robot-guided group was superior to the traditional group at 1 and 3 months after operation ( P<0.05). The postoperative ODI change was significantly better in the robot-guided group than in the traditional group ( P<0.05), and there was no significant difference in the postoperative Karnofsky score change and Frankel grading change when compared to the traditional group ( P>0.05). Median overall survival time was 13 months [95% CI (10.858, 15.142) months] in the robot-guided group and 15 months [95% CI (13.349, 16.651) months] in the traditional group, with no significant difference between groups ( χ 2=0.561, P=0.454) . Conclusion: Compared with traditional open surgery, the robot-guided percutaneous fixation and decompression via small incision can reduce operation time, hospital stays, intraoperative blood loss, blood transfusion, and complications in treatment of advanced thoracolumbar metastases.

3D-printed epifluidic electronic skin for machine learning-powered multimodal health surveillance.

The amalgamation of wearable technologies with physiochemical sensing capabilities promises to create powerful interpretive and predictive platforms for real-time health surveillance. However, the construction of such multimodal devices is difficult to be implemented wholly by traditional manufacturing techniques for at-home personalized applications. Here, we present a universal semisolid extrusion-based three-dimensional printing technology to fabricate an epifluidic elastic electronic skin (e3-skin) with high-performance multimodal physiochemical sensing capabilities. We demonstrate that the e3-skin can serve as a sustainable surveillance platform to capture the real-time physiological state of individuals during regular daily activities. We also show that by coupling the information collected from the e3-skin with machine learning, we were able to predict an individual's degree of behavior impairments (i.e., reaction time and inhibitory control) after alcohol consumption. The e3-skin paves the path for future autonomous manufacturing of customizable wearable systems that will enable widespread utility for regular health monitoring and clinical applications.