'That would have been the perfect thing after diagnosis': development of a digital lifestyle management application in multiple sclerosis.

Background: A multiple sclerosis (MS) diagnosis urges decision-making on immunotherapies, while persons with MS (PwMS) need to develop a coping concept in parallel. At this stage, PwMS ask how they themselves may contribute to controlling the disease. Evidence suggests that maintaining a healthy lifestyle (e.g. physical activity and stress management) is a key factor for healthy aging and preserving activity, while data on MS are complex. Objectives: Following the Medical Research Council framework, this study aimed to develop and investigate the feasibility of a new digital health application that conveys evidence-based patient information about lifestyle factors in MS and engages PwMS in relevant behaviour change techniques. Methods: Based on a digital health application promoting lifestyle management in breast cancer survivors, an MS-specific adaptation ('levidex') was developed. Feasibility was tested with 15 PwMS and eight MS experts. Subsequently, a six-week pilot study with eight PwMS was conducted. All participants provided feedback on practicability and acceptability via a questionnaire and took part in a semi-structured telephone interview. Levidex was revised after each test phase. Results: The final levidex tool includes 16 modules, 177 references and several other functions. Feasibility results showed that PwMS and MS experts perceived levidex as understandable (14 out of 15; 6 out of 8), trustworthy (15 out of 15; 8 out of 8), and relevant (10 out of 15; 8 out of 8). Interviews revealed potential for improvement regarding the length and complexity of some content. Piloting of the revised version confirmed good feasibility and high acceptance. Most participants felt inspired to initiate (7 out of 8) or had already implemented (5 out of 8) lifestyle changes after working with levidex. Conclusion: Results suggest that levidex is feasible and well-accepted by PwMS and MS experts. It might be a useful tool to support PwMS in adapting to their diagnosis and initiating health-promoting lifestyle changes.

Sociodemographic Characteristics Associated With an eHealth System Designed to Reduce Depressive Symptoms Among Patients With Breast or Prostate Cancer: Prospective Study.

BACKGROUND: eHealth interventions have become a topic of interest in the field of mental health owing to their increased coordination and integration of different elements of care, in treating and preventing mental ill health in patients with somatic illnesses. However, poor usability, learnability, and user engagement might affect the effectiveness of an eHealth intervention. Identifying different sociodemographic characteristics that might be associated with higher perceived usability can help improve the usability of eHealth interventions. OBJECTIVE: This study aimed to identify the sociodemographic characteristics that might be associated with the perceived usability of the NEVERMIND (Neurobehavioural Predictive and Personalised Modelling of Depressive Symptoms During Primary Somatic Diseases) eHealth system, comprising a mobile app and a sensorized shirt, in reducing comorbid depressive symptoms in patients with breast or prostate cancer. METHODS: The study included a total of 129 patients diagnosed with breast (n=80, 62%) or prostate (n=49, 38%) cancer, who received a fully automated mobile app and sensorized shirt (NEVERMIND system). Sociodemographic data on age, sex, marital status, education level, and employment status were collected at baseline. Usability outcomes included the System Usability Scale (SUS), a subjective measure that covers different aspects of system usability; the user version of the Mobile App Rating Scale (uMARS), a user experience questionnaire; and a usage index, an indicator calculated from the number of days patients used the NEVERMIND system during the study period. RESULTS: The analysis was based on 108 patients (n=68, 63%, patients with breast cancer and n=40, 37%, patients with prostate cancer) who used the NEVERMIND system for an average of 12 weeks and completed the study. The overall mean SUS score at 12 weeks was 73.4 (SD 12.5), which indicates that the NEVERMIND system has good usability, with no statistical differences among different sociodemographic characteristics. The global uMARS score was 3.8 (SD 0.3), and women rated the app higher than men (ß=.16; P=.03, 95% CI 0.02-0.3), after adjusting for other covariates. No other sociodemographic characteristics were associated with higher uMARS scores. There was a statistical difference in the use of the NEVERMIND system between women and men. Women had significantly lower use (ß=-0.13; P=.04, 95% CI -0.25 to -0.01), after adjusting for other covariates. CONCLUSIONS: The findings suggest that the NEVERMIND system has good usability according to the SUS and uMARS scores. There was a higher favorability of mobile apps among women than among men. However, men had significantly higher use of the NEVERMIND system. Despite the small sample size and low variability, there is an indication that the NEVERMIND system does not suffer from the digital divide, where certain sociodemographic characteristics are more associated with higher usability. TRIAL REGISTRATION: German Clinical Trials Register RKS00013391; https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00013391.

The NEVERMIND e-health system in the treatment of depressive symptoms among patients with severe somatic conditions: A multicentre, pragmatic randomised controlled trial.

Background: This study assessed the effectiveness of the NEVERMIND e-health system, consisting of a smart shirt and a mobile application with lifestyle behavioural advice, mindfulness-based therapy, and cognitive behavioural therapy, in reducing depressive symptoms among patients diagnosed with severe somatic conditions. Our hypothesis was that the system would significantly decrease the level of depressive symptoms in the intervention group compared to the control group. Methods: This pragmatic, randomised controlled trial included 425 patients diagnosed with myocardial infarction, breast cancer, prostate cancer, kidney failure, or lower limb amputation. Participants were recruited from hospitals in Turin and Pisa (Italy), and Lisbon (Portugal), and were randomly assigned to either the NEVERMIND intervention or to the control group. Clinical interviews and structured questionnaires were administered at baseline, 12 weeks, and 24 weeks. The primary outcome was depressive symptoms at 12 weeks measured by the Beck Depression Inventory II (BDI-II). Intention-to-treat analyses included 425 participants, while the per-protocol analyses included 333 participants. This trial is registered in the German Clinical Trials Register, DRKS00013391. Findings: Patients were recruited between Dec 4, 2017, and Dec 31, 2019, with 213 assigned to the intervention and 212 to the control group. The sample had a mean age of 59·41 years (SD=10·70), with 44·24% women. Those who used the NEVERMIND system had statistically significant lower depressive symptoms at the 12-week follow-up (mean difference=-3·03, p<0·001; 95% CI -4·45 to -1·62) compared with controls, with a clinically relevant effect size (Cohen's d=0·39). Interpretation: The results of this study show that the NEVERMIND system is superior to standard care in reducing and preventing depressive symptoms among patients with the studied somatic conditions. Funding: The NEVERMIND project received funding from the European Union's Horizon 2020 Research and Innovation Programme under grant agreement No. 689691.

Results of the Optimune trial: A randomized controlled trial evaluating a novel Internet intervention for breast cancer survivors.

INTRODUCTION: After the acute treatment phase, breast cancer patients often experience low quality of life and impaired mental health, which could potentially be improved by offering cognitive behavioural therapy (CBT) and addressing exercise and dietary habits. However, CBT and other behavioural interventions are rarely available beyond the acute treatment phase. Internet-based interventions could bridge such treatment gaps, given their flexibility and scalability. In this randomized controlled trial (RCT), we investigated the effects of such an intervention ("Optimune") over three months. METHODS: This RCT included 363 female breast cancer survivors (age range = 30-70), recruited from the community, who had completed the active treatment phase. Inclusion criteria were: breast cancer diagnosis less than 5 years ago and acute treatment completion at least 1 month ago. Participants were randomly assigned to (1) an intervention group (n = 181), in which they received care as usual (CAU) plus 12-month access to Optimune immediately after randomization, or (2) a control group (n = 182), in which they received CAU and Optimune after a delay of 3 months. Primary endpoints were quality of life (QoL), physical activity, and dietary habits at three months. We hypothesized that intervention group participants would report better QoL, more physical activity, and improved dietary habits after 3 months. RESULTS: Intention-to-treat (ITT) analyses revealed significant effects on QoL (d = 0.27, 95% CI: 0.07-0.48) and dietary habits (d = 0.36, 95% CI: 0.15-0.56), but the effect on physical exercise was not significant (d = 0.30; 95% CI: 0.10-0.51). DISCUSSION: These findings suggest the effectiveness of Optimune, a new CBT-based Internet intervention for breast cancer survivors, in facilitating improvements in quality of life and dietary habits. Efforts to disseminate this intervention more broadly may be warranted. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03643640. Registered August 23rd 2018, https://clinicaltrials.gov/ct2/show/NCT03643640.

Who seeks Internet-based interventions for depression in Brazil? / Quem procura intervenções baseadas na Internet para a depressão no Brasil?

Specific psychological treatments for depressive disorders delivered on the Internet have shown effectiveness and presented advantages over face-to-face treatments (potentially less expensive, flexible schedules, available in remote areas). This paper aims to describe the characteristics of those who sought help from an online self-guided intervention for depression and to explore hypotheses about predictors of enrollment to the program. Based on a sample of 282 of individuals who filled in screening questionnaires, we verified that the respondents were mainly female, were on average 34.36 years old, were primarily recruited through Facebook, had been previously diagnosed by mental health professionals, presented moderate self-efficacy perception, and had moderately severe symptoms of depression. Respondents who reported comorbid conditions were more likely to attend enrollment interviews, and being in treatment or not did not influence attendance. Such characterization may provide strategies to reach more people and to optimize the design of interventions targeting help-seeking depressed individuals in Brazil.

Alguns tratamentos para a depressão baseados na Internet se mostraram efetivos e apresentaram vantagens em relação a tratamentos presenciais (potencialmente menos caros, com horários mais flexíveis e com disponibilidade em áreas remotas). Este artigo descreve as características de indivíduos que procuraram ajuda de uma intervenção autoguiada on-line e explora hipóteses sobre preditores de adesão ao programa. Baseado em uma amostra de 282 indivíduos que preencheram questionários de triagem, verificou-se que os participantes eram majoritariamente mulheres, tinham em média 34,36 anos, foram recrutados em sua maioria pelo Facebook, apresentaram diagnóstico psiquiátrico prévio feito por algum profissional de saúde mental, apresentaram percepção de autoeficácia moderada e sintomas depressivos moderadamente severos. Os respondentes que relataram condições comórbidas apresentaram mais chances de avançar para as entrevistas diagnósticas, e estar ou não em tratamento não influenciou a chegada às entrevistas. Estas descrições podem auxiliar na identificação de estratégias para se atingir mais indivíduos e para otimizar o desenho das intervenções on-line para brasileiros que as buscam.

Selecting optimal spectral bands for improved detection of autofluorescent biomarkers in multiphoton microscopy.

SIGNIFICANCE: In multiphoton microscopy, two-photon excited fluorescence (TPEF) spectra carry valuable information on morphological and functional biological features. For measuring these biomarkers, separation of different parts of the fluorescence spectrum into channels is typically achieved by the use of optical band pass filters. However, spectra from different biomarkers can be unknown or overlapping, creating a crosstalk in between the channels. Previously, establishing these channels relied on prior knowledge or heuristic testing. AIM: The presented method aims to provide spectral bands with optimal separation between groups of specimens expressing different biomarkers. APPROACH: We have developed a system capable of resolving TPEF with high spectral resolution for the characterization of biomarkers. In addition, an algorithm is created to simulate and optimize optical band pass filters for fluorescence detection channels. To demonstrate the potential improvements in cell and tissue classification using these optimized channels, we recorded spectrally resolved images of cancerous (HT29) and normal epithelial colon cells (FHC), cultivated in 2D layers and in 3D to form spheroids. To provide an example of an application, we relate the results with the widely used redox ratio. RESULTS: We show that in the case of two detection channels, our system and algorithm enable the selection of optimized band pass filters without the need of knowing involved fluorophores. An improvement of 31,5% in separating different 2D cell cultures is achieved, compared to using established spectral bands that assume NAD(P)H and FAD as main contributors of autofluorescence. The compromise is a reduced SNR in the images. CONCLUSIONS: We show that the presented method has the ability to improve imaging contrast and can be used to tailor a given label-free optical imaging system using optical band pass filters targeting a specific biomarker or application.

Effectiveness of an internet-based self-guided program to treat depression in a sample of Brazilian users: a study protocol

Although psychological treatments for depressive disorders are available, they are often expensive or inaccessible for many. Web-based interventions that require minimal or no contact with therapists have been shown effective. To the best of our knowledge, no study using this treatment format has been conducted in Brazil. The Deprexis program was designed using empirically established principles of cognitive-behavioral therapy to reduce depressive symptoms. The objective of this study was to evaluate the effectiveness of Deprexis in Brazil. This randomized controlled trial will include 128 Brazilians with clinically significant depression symptoms or who have been diagnosed with depressive disorder (major depressive disorder or dysthymia), recruited over the internet (Brazilian forums, social networks, or e-mail lists). Individuals with other psychiatric diagnoses that require significant attention (e.g., bipolar disorder, psychosis) will not be included in the trial. Participants will be randomly assigned to 1) treatment as usual plus immediate access to Deprexis or 2) treatment as usual plus delayed access to Deprexis (after 8 weeks). Participants will be able to obtain other treatment types in addition to the online intervention. If found effective, this web-based intervention would increase the evidence-based care options for depression treatment in Brazil. Clinical trial registration: RBR-6kk3bx, UTN U1111-1212-8998

A protocol for a multicentre, parallel-group, pragmatic randomised controlled trial to evaluate the NEVERMIND system in preventing and treating depression in patients with severe somatic conditions.

BACKGROUND: Depressive symptoms are common in individuals suffering from severe somatic conditions. There is a lack of interventions and evidence-based interventions aiming to reduce depressive symptoms in patients with severe somatic conditions. The aim of the NEVERMIND project is to address these issues and provide evidence by testing the NEVERMIND system, designed to reduce and prevent depressive symptoms in comparison to treatment as usual. METHODS: The NEVERMIND study is a parallel-groups, pragmatic randomised controlled trial to assess the effectiveness of the NEVERMIND system in reducing depressive symptoms among individuals with severe somatic conditions. The NEVERMIND system comprises a smart shirt and a user interface, in the form of a mobile application. The system is a real-time decision support system, aiming to predict the severity and onset of depressive symptoms by modelling the well-being condition of patients based on physiological data, body movement, and the recurrence of social interactions. The study includes 330 patients who have a diagnosis of myocardial infarction, breast cancer, prostate cancer, kidney failure, or lower limb amputation. Participants are randomised in blocks of ten to either the NEVERMIND intervention or treatment as usual as the control group. Clinical interviews and structured questionnaires are administered at baseline, at 12 weeks, and 24 weeks to assess whether the NEVERMIND system is superior to treatment as usual. The endpoint of primary interest is Beck Depression Inventory II (BDI-II) at 12 weeks defined as (i) the severity of depressive symptoms as measured by the BDI-II. Secondary outcomes include prevention of the onset of depressive symptoms, changes in quality of life, perceived stigma, and self-efficacy. DISCUSSION: There is a lack of evidence-based interventions aiming to reduce and prevent depressive symptoms in patients with severe somatic conditions. If the NEVERMIND system is effective, it will provide healthcare systems with a novel and innovative method to attend to depressive symptoms in patients with severe somatic conditions. TRIAL REGISTRATION: DRKS00013391. Registered 23 November 2017.

Protocol for the Optimune trial: a randomized controlled trial evaluating a novel Internet intervention for breast cancer survivors.

INTRODUCTION: Depression and fatigue are common in breast cancer survivors, and their presence is associated with personal suffering and worse prognosis. While many women receive short-term psychological support in the acute treatment phase, this is rarely available in subsequent phases. Internet interventions for breast cancer survivors could provide additional psychological support, as they are easily accessible and may be effective. However, no trial has yet examined the effectiveness of an Internet intervention that provides cognitive behavioural therapy techniques plus lifestyle advice for this population. This trial aims to test whether Optimune, a novel Internet intervention we developed for that purpose, leads to improvements in quality of life and relevant lifestyle habits over the course of 3 to 6 months. METHODS: This randomized controlled trial (RCT) will include 360 female breast cancer survivors who have completed the active tumour eradication phase. Participants will be recruited from various settings, including web-based advertisements and Internet forums in German-speaking countries. The main inclusion criteria are a breast cancer diagnosis less than 5 years ago and completion of acute treatment at least 1 month ago, as verified by discharge letter from an oncology treatment centre. Participants will be randomly assigned to either (1) a control group, in which they receive care as usual (CAU) and are given access to Optimune after a delay of 3 months (CAU/wait list control), or (2) a treatment group that may also use CAU and will receive 12-month access to Optimune immediately after randomization. The three primary endpoints are quality of life, physical activity and diet quality, assessed with the World Health Organization Quality of Life Questionnaire, the International Physical Activity Questionnaire and the Food Quality Questionnaire, at 3 months post-baseline; secondary outcomes include cancer-related fatigue, emotional stress, depression, anxiety, fear of progression, insomnia, usefulness of the programme and negative treatment effects. Online assessments are conducted at baseline (T0), 3 months (T1) and 6 months (T2). DISCUSSION: Results of this RCT are expected to extend the body of knowledge with regard to the effectiveness of CBT-based Internet interventions for female breast cancer survivors. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03643640. Registered on 23 August 2018.

Inhibition of Rho-Associated Kinase 1/2 Attenuates Tumor Growth in Murine Gastric Cancer.

Gastric cancer (GC) remains a malignant disease with high mortality. Patients are frequently diagnosed in advanced stages where survival prognosis is poor. Thus, there is high medical need to find novel drug targets and treatment strategies. Recently, the comprehensive molecular characterization of GC subtypes revealed mutations in the small GTPase RHOA as a hallmark of diffuse-type GC. RHOA activates RHO-associated protein kinases (ROCK1/2) which regulate cell contractility, migration and growth and thus may play a role in cancer. However, therapeutic benefit of RHO-pathway inhibition in GC has not been shown so far. The ROCK1/2 inhibitor 1-(5-isoquinoline sulfonyl)-homopiperazine (HA-1077, fasudil) is approved for cerebrovascular bleeding in patients. We therefore investigated whether fasudil (i.p., 10 mg/kg per day, 4 times per week, 4 weeks) inhibits tumor growth in a preclinical model of GC. Fasudil evoked cell death in human GC cells and reduced the tumor size in the stomach of CEA424-SV40 TAg transgenic mice. Small animal PET/CT confirmed preclinical efficacy. Mass spectrometry imaging identified a translatable biomarker for mouse GC and suggested rapid but incomplete in situ distribution of the drug to gastric tumor tissue. RHOA expression was increased in the neoplastic murine stomach compared with normal non-malignant gastric tissue, and fasudil reduced (auto) phosphorylation of ROCK2 at THR249 in vivo and in human GC cells in vitro. In sum, our data suggest that RHO-pathway inhibition may constitute a novel strategy for treatment of GC and that enhanced distribution of future ROCK inhibitors into tumor tissue may further improve efficacy.

Standardized processing of MALDI imaging raw data for enhancement of weak analyte signals in mouse models of gastric cancer and Alzheimer's disease.

Conventional mass spectrometry image preprocessing methods used for denoising, such as the Savitzky-Golay smoothing or discrete wavelet transformation, typically do not only remove noise but also weak signals. Recently, memory-efficient principal component analysis (PCA) in conjunction with random projections (RP) has been proposed for reversible compression and analysis of large mass spectrometry imaging datasets. It considers single-pixel spectra in their local context and consequently offers the prospect of using information from the spectra of adjacent pixels for denoising or signal enhancement. However, little systematic analysis of key RP-PCA parameters has been reported so far, and the utility and validity of this method for context-dependent enhancement of known medically or pharmacologically relevant weak analyte signals in linear-mode matrix-assisted laser desorption/ionization (MALDI) mass spectra has not been explored yet. Here, we investigate MALDI imaging datasets from mouse models of Alzheimer's disease and gastric cancer to systematically assess the importance of selecting the right number of random projections k and of principal components (PCs) L for reconstructing reproducibly denoised images after compression. We provide detailed quantitative data for comparison of RP-PCA-denoising with the Savitzky-Golay and wavelet-based denoising in these mouse models as a resource for the mass spectrometry imaging community. Most importantly, we demonstrate that RP-PCA preprocessing can enhance signals of low-intensity amyloid-ß peptide isoforms such as Aß1-26 even in sparsely distributed Alzheimer's ß-amyloid plaques and that it enables enhanced imaging of multiply acetylated histone H4 isoforms in response to pharmacological histone deacetylase inhibition in vivo. We conclude that RP-PCA denoising may be a useful preprocessing step in biomarker discovery workflows.

Label-free in situ monitoring of histone deacetylase drug target engagement by matrix-assisted laser desorption ionization-mass spectrometry biotyping and imaging.

Measurements of target activation in cells or tissues are key indicators of efficacy during drug development. In contrast to established methods that require reagents and multiple preprocessing steps, reagent-free in situ analysis of engaged drug targets or target-proximal pharmacodynamic signatures in solid tumors remains challenging. Here, we demonstrate that label-free quantification of histone acetylation-specific mass shifts by matrix-assisted laser desorption ionization (MALDI) mass spectrometry biotyping can be used for measurement of cellular potency of histone deacetylase inhibitors in intact cells. Furthermore, we employ MALDI mass spectrometry imaging of these mass shifts to visualize the spatiotemporal distribution of acetylated histones and thus the tumor-selective pharmacodynamic responses in a mouse model of gastrointestinal cancer. Taken together, our study suggests that the monitoring of drug-induced mass shifts in protein ion intensity fingerprints or images may be a powerful analytical tool in pharmacology and drug discovery.

DMSO-enhanced MALDI MS imaging with normalization against a deuterated standard for relative quantification of dasatinib in serial mouse pharmacology studies.

Matrix-assisted laser desorption/ionization mass spectrometry imaging is an emerging powerful technique in drug metabolism and pharmacokinetics research. Despite recent progress in mass-spectrometry-based localization and relative quantification of small-molecule drugs and their metabolites in tissue, improved methods for drug extraction/ionization are required. Furthermore, relative quantification of drugs by mass spectrometry imaging in larger rodent cohorts is a necessary proof-of-concept study to demonstrate the utility of such a workflow in an industrial setting. Using as an example the tyrosine kinase inhibitor dasatinib, a leukemia drug, we demonstrate that inclusion of dimethyl sulfoxide in standard matrix solutions significantly improves ion intensity in mass spectrometry images and reveals enrichment of the drug in mouse kidney medulla. We furthermore show in a time-course study in multiple mice that normalization against a deuterated internal standard, dasatinib-D8, which is applied together with the matrix, makes possible relative quantification of the drug that correlates well with canonical liquid chromatography­tandem mass spectrometry based drug quantification.

Quantitative characterization of tissue globotetraosylceramides in a rat model of polycystic kidney disease by PrimaDrop sample preparation and indirect high-performance thin layer chromatography-matrix-assisted laser desorption/ionization-time-of-flight-mass spectrometry with automated data acquisition.

Glycosphingolipids (GSL) have been associated with a variety of diseases, including cancer and autosomal dominant polycystic kidney disease (ADPKD). In contrast to glucosylceramide and gangliosides, alterations in complex neutral GSLs such as globotetraosylceramide (Gb4Cer) have not been investigated in ADPKD yet, and mass spectrometry analysis of Gb4Cer from tissue extracts remains challenging. To this end, we introduce PrimaDrop as an improved and widely applicable sample preparation method for automated matrix-assisted laser desorption/ionization-mass spectrometry (MALDI-MS) analysis of lipid extracts, which promotes homogeneous cocrystallization and enables relative quantification by indirect thin layer chromatography (TLC)-MALDI-time-of-flight (TOF)-MS against an internal bradykinin standard. Application of the method for detailed investigation of Gb4Cer isoforms in kidneys of an ADPKD rat model revealed increased levels of sphingoid base-containing isoforms in cystic kidneys, whereas changes were subtle for Gb4Cer-containing phytosphingoid bases. We furthermore established an absolute LC-ESI-MS/MS quantification method and demonstrate that absolute quantities of Gb4Cer correlate well with relative quantities obtained by indirect TLC-MALDI-TOF-MS. Taken together, our study proposes an effective sample preparation method for automated analysis of lipid extracts and TLC eluates and suggests that indirect high-performace (HP)TLC-MALDI-TOF-MS with automated data acquisition is a viable option for analysis of neutral glycosphingolipids and that Gb4Cer may play a role in the pathogenesis of ADPKD.

Adsorption of plasma proteins on uncoated PLGA nanoparticles.

The biodistribution of nanoparticles is significantly influenced by their interaction with plasma proteins. In order to optimize and possibly monitor the delivery of drugs bound to nanoparticles across the blood-brain barrier (BBB), the protein adsorption pattern of uncoated poly(lactic-co-glycolic acid) (PLGA) nanoparticles after their incubation in human plasma was studied by mass spectrometry. After washing of the particles with water, the proteins were directly digested on the nanoparticle surface using trypsin and then analyzed by nLC MALDI-TOF/TOF. Up to now, the standard method for investigation into the plasma protein adsorption to the particles was 2D gel electrophoresis (2D-PAGE), in certain cases followed by mass spectrometry. The non-gel-based method proposed in the present study provides novel insights into the protein corona surrounding the nanoparticles. The proteins adsorbed on the PLGA nanoparticles after incubation that gave the best signal in terms of quality (high MASCOT score) in human plasma were apolipoprotein E, vitronectin, histidine-rich glycoprotein and kininogen-1. These proteins also are constituents of HDL.

Identification of the mitochondrial ND3 subunit as a structural component involved in the active/deactive enzyme transition of respiratory complex I.

Mitochondrial complex I (NADH:ubiquinone oxidoreductase) undergoes reversible deactivation upon incubation at 30-37 degrees C. The active/deactive transition could play an important role in the regulation of complex I activity. It has been suggested recently that complex I may become modified by S-nitrosation under pathological conditions during hypoxia or when the nitric oxide:oxygen ratio increases. Apparently, a specific cysteine becomes accessible to chemical modification only in the deactive form of the enzyme. By selective fluorescence labeling and proteomic analysis, we have identified this residue as cysteine-39 of the mitochondrially encoded ND3 subunit of bovine heart mitochondria. Cysteine-39 is located in a loop connecting the first and second transmembrane helix of this highly hydrophobic subunit. We propose that this loop connects the ND3 subunit of the membrane arm with the PSST subunit of the peripheral arm of complex I, placing it in a region that is known to be critical for the catalytic mechanism of complex I. In fact, mutations in three positions of the loop were previously reported to cause Leigh syndrome with and without dystonia or progressive mitochondrial disease.

Identification of two proteins associated with mammalian ATP synthase.

Bovine mitochondrial ATP synthase commonly is isolated as a monomeric complex that contains 16 protein subunits and the natural IF(1) inhibitor protein in substoichiometric amounts. Alternatively ATP synthase can be isolated in dimeric and higher oligomeric states using digitonin for membrane solubilization and blue native or clear native electrophoresis for separation of the native mitochondrial complexes. Using blue native electrophoresis we could identify two ATP synthase-associated membrane proteins with masses smaller than 7 kDa and isoelectric points close to 10 that previously had been removed during purification. We show that in the mitochondrial membrane both proteins are almost quantitatively bound to ATP synthase. Both proteins had been identified earlier in a different context, but their association with ATP synthase was unknown. The first one had been named 6.8-kDa mitochondrial proteolipid because it can be isolated by chloroform/methanol extraction from mitochondrial membranes. The second one had been denoted as diabetes-associated protein in insulin-sensitive tissue (DAPIT), which may provide a clue for further functional and clinical investigations.

A dedicated haem lyase is required for the maturation of a novel bacterial cytochrome c with unconventional covalent haem binding.

In bacterial c-type cytochromes, the haem cofactor is covalently attached via two cysteine residues organized in a haem c-binding motif. Here, a novel octa-haem c protein, MccA, is described that contains only seven conventional haem c-binding motifs (CXXCH), in addition to several single cysteine residues and a conserved CH signature. Mass spectrometric analysis of purified MccA from Wolinella succinogenes suggests that two of the single cysteine residues are actually part of an unprecedented CX15CH sequence involved in haem c binding. Spectroscopic characterization of MccA identified an unusual high-potential haem c with a red-shifted absorption maximum, not unlike that of certain eukaryotic cytochromes c that exceptionally bind haem via only one thioether bridge. A haem lyase gene was found to be specifically required for the maturation of MccA in W. succinogenes. Equivalent haem lyase-encoding genes belonging to either the bacterial cytochrome c biogenesis system I or II are present in the vicinity of every known mccA gene suggesting a dedicated cytochrome c maturation pathway. The results necessitate reconsideration of computer-based prediction of putative haem c-binding motifs in bacterial proteomes.

Mass spectrometric analysis of glycine receptor-associated gephyrin splice variants.

Gephyrin is an ubiquitously expressed protein that, in the nervous system, is essential for synaptic anchoring of glycine receptors (GlyRs) and major GABAA receptor subtypes. The binding of gephyrin to the GlyR depends on an amphipathic motif within the large intracellular loop of the GlyRbeta subunit. The mouse gephyrin gene consists of 30 exons. Ten of these exons, encoding cassettes of 5-40 amino acids, are subject to alternative splicing (C1-C7, C4'-C6'). Since one of the cassettes, C5', has recently been reported to exclude GlyRs from GABAergic synapses, we investigated which cassettes are found in gephyrin associated with the GlyR. Gephyrin variants were purified from rat spinal cord, brain, and liver by binding to the glutathione S-transferase-tagged GlyRbeta loop or copurified with native GlyR from spinal cord by affinity chromatography and analyzed by mass spectrometry. In addition to C2 and C6', already known to be prominent, C4 was found to be abundant in gephyrin from all tissues examined. The nonneuronal cassette C3 was easily detected in liver but not in GlyR-associated gephyrin from spinal cord. C5 was present in brain and spinal cord polypeptides, whereas C5' was coisolated mainly from liver. Notably C5'-containing gephyrin bound to the GlyRbeta loop, inconsistent with its proposed selectivity for GABAA receptors. Our data show that GlyR-associated gephyrin, lacking C3, but enriched in C4 without C5, differs from other neuronal and nonneuronal gephyrin isoforms.