23 research outputs found
Optimisation des réacteurs microfluidiques microbiens en contrÎlant la croissance et l'homogénéité du biofilm
Les biofilms microbiens soit des communautĂ©s multicellulaires formĂ©es de bactĂ©ries, adhĂ©rant Ă une surface, entourĂ©s d'une couche de polymĂšre extracellulaire (EPS). Parce qu'ils sont naturels, les biofilms bactĂ©riens sont de plus en plus Ă©tudiĂ©s et utilisĂ©s pour des applications en biocatalyse, en autorĂ©paration et en tant que systĂšmes pouvant fonctionner efficacement dans des conditions ambiantes. La structure du biofilm est Ă©galement importante, car elle peut protĂ©ger les bactĂ©ries sous les contraintes physiques, chimiques et biologiques rencontrĂ©es lors de l'opĂ©ration du biorĂ©acteur. Parmi les principaux facteurs entrant dans la rĂ©gulation du dĂ©veloppement du biofilm et de ses propriĂ©tĂ©s Ă maturitĂ©, on trouve les conditions hydrodynamiques et les concentrations d'Ă©lĂ©ments nutritifs appliquĂ©es. La microfluidique connait une popularitĂ© croissante parmi la communautĂ© de recherche sur les biofilms en raison de sa capacitĂ© Ă mieux contrĂŽler ces paramĂštres en fonction de d'autres propriĂ©tĂ©s physicochimiques importantes et mĂȘme le taux de croissance. Dans ce travail, nous nous appuyons sur les travaux antĂ©rieurs de notre groupe pour rĂ©soudre deux principales limites. Tout d'abord, la tendance des biofilms Ă contaminer les canaux et les tubes en amont peut Ă©roder les spĂ©cifications prĂ©cises des conditions expĂ©rimentales dans les positions en aval d'oĂč des mesures analytiques sont rĂ©alisĂ©es. La premiere partie ce travail, nous prĂ©sentons un dispositif microfluidique qui varie la vitesse d'Ă©coulement en amont pour arrĂȘter la croissance vers l'arriĂšre et la contamination de l'entrĂ©e pour les expĂ©riences de longue durĂ©e. Le deuxiĂšme point d'intĂ©rĂȘt est liĂ© Ă des facteurs qui provoquent une hĂ©tĂ©rogĂ©nĂ©itĂ© dans les modĂšles de croissance du biofilm. On a notĂ© que les bulles formĂ©es pendant et aprĂšs l'inoculation augmentaient la croissance locale du biofilm et rĂ©duisaient l'uniformitĂ© et l'homogĂ©nĂ©itĂ© globale. Ce mĂ©moire Ă©tudie Ă©galement les effets des bulles sur le taux de croissance et le dĂ©veloppement secondaire du biofilm
GBA variants in REM sleep behavior disorder: a multicenter study
To study the role of GBA variants in the risk for isolated rapid-eye-movement (REM)-sleep behavior disorder (iRBD) and conversion to overt neurodegeneration
Genome-wide association study of REM sleep behavior disorder identifies polygenic risk and brain expression effects
Rapid-eye movement (REM) sleep behavior disorder (RBD), enactment of dreams during REM sleep, is an early clinical symptom of alpha-synucleinopathies and defines a more severe subtype. The genetic background of RBD and its underlying mechanisms are not well understood. Here, we perform a genome-wide association study of RBD, identifying five RBD risk loci near SNCA, GBA, TMEM175, INPP5F, and SCARB2. Expression analyses highlight SNCA-AS1 and potentially SCARB2 differential expression in different brain regions in RBD, with SNCA-AS1 further supported by colocalization analyses. Polygenic risk score, pathway analysis, and genetic correlations provide further insights into RBD genetics, highlighting RBD as a unique alpha-synucleinopathy subpopulation that will allow future early intervention
Genome-wide association study of {REM} sleep behavior disorder identifies polygenic risk and brain expression effects
AbstractRapid-eye movement (REM) sleep behavior disorder (RBD), enactment of dreams during REM sleep, is an early clinical symptom of alpha-synucleinopathies and defines a more severe subtype. The genetic background of RBD and its underlying mechanisms are not well understood. Here, we perform a genome-wide association study of RBD, identifying five RBD risk loci near SNCA, GBA, TMEM175, INPP5F, and SCARB2. Expression analyses highlight SNCA-AS1 and potentially SCARB2 differential expression in different brain regions in RBD, with SNCA-AS1 further supported by colocalization analyses. Polygenic risk score, pathway analysis, and genetic correlations provide further insights into RBD genetics, highlighting RBD as a unique alpha-synucleinopathy subpopulation that will allow future early intervention
Dopamine Pathway and Parkinson's Risk Variants Are Associated with Levodopa-Induced Dyskinesia.
peer reviewedBACKGROUND: Levodopa-induced dyskinesia (LID) is a common adverse effect of levodopa, one of the main therapeutics used to treat the motor symptoms of Parkinson's disease (PD). Previous evidence suggests a connection between LID and a disruption of the dopaminergic system as well as genes implicated in PD, including GBA1 and LRRK2.
OBJECTIVES: Our goal was to investigate the effects of genetic variants on risk and time to LID.
METHODS: We performed a genome-wide association study (GWAS) and analyses focused on GBA1 and LRRK2 variants. We also calculated polygenic risk scores (PRS) including risk variants for PD and variants in genes involved in the dopaminergic transmission pathway. To test the influence of genetics on LID risk we used logistic regression, and to examine its impact on time to LID we performed Cox regression including 1612 PD patients with and 3175 without LID.
RESULTS: We found that GBA1 variants were associated with LID risk (odds ratio [OR]â=â1.65; 95% confidence interval [CI],â1.21-2.26; Pâ=â0.0017) and LRRK2 variants with reduced time to LID onset (hazard ratio [HR]â=â1.42; 95% CI,â1.09-1.84; Pâ=â0.0098). The fourth quartile of the PD PRS was associated with increased LID risk (ORfourth_quartileâ=â1.27; 95% CI,â1.03-1.56; Pâ=â0.0210). The third and fourth dopamine pathway PRS quartiles were associated with a reduced time to development of LID (HRthird_quartile =â1.38; 95% CI,â1.07-1.79; Pâ=â0.0128; HRfourth_quartile =â1.38; 95% CIâ=â1.06-1.78; Pâ=â0.0147).
CONCLUSIONS: This study suggests that variants implicated in PD and in the dopaminergic transmission pathway play a role in the risk/time to develop LID. Further studies will be necessary to examine how these findings can inform clinical care.3. Good health and well-bein
HLA in isolated REM sleep behavior disorder and Lewy body dementia
peer reviewedSynucleinopathies-related disorders such as Lewy body dementia (LBD) and isolated/idiopathic REM sleep behavior disorder (iRBD) have been associated with neuroinflammation. In this study, we examined whether the human leukocyte antigen (HLA) locus plays a role in iRBD and LBD. In iRBD, HLA-DRB1*11:01 was the only allele passing FDR correction (ORâ=â1.57, 95 CIâ=â1.27â1.93, pâ=â2.70e-05). We also discovered associations between iRBD and HLA-DRB1 70D (ORâ=â1.26, 95\%CIâ=â1.12â1.41, pâ=â8.76e-05), 70Q (ORâ=â0.81, 95\%CIâ=â0.72â0.91, pâ=â3.65e-04) and 71R (ORâ=â1.21, 95\%CIâ=â1.08â1.35, pâ=â1.35e-03). Position 71 (pomnibusâ=â0.00102) and 70 (pomnibusâ=â0.00125) were associated with iRBD. Our results suggest that the HLA locus may have different roles across synucleinopathies
Microfluidic flow confinement to avoid chemotaxis-based upstream growth in a biofilm flow cell reactor
Introduction of a bacterial inoculant into a chemostat bioreactor can lead to unwanted contamination of upstream elements via chemotaxis. This can result in biofilm growth in connective tubing, valves and even the medium source reservoir itself, thus complicating the conditions of the applied liquid phase and impeding proper chemostat functionality. Applied to biofilm forming Pseudomonas fluorescens bacteria, we tested two different microfluidic flow confinement methods designed to impede upstream contamination. The first isolated biofilm growth from the relatively stagnant zones within the microchannel corners, and in the second a flow enhancement element was introduced to increase flow velocities and shear forces. Both methods showed improvement over a control design, but flow enhancement showed the best performance by delaying or preventing bacterial contamination of upstream elements, ensuring stability of the applied liquid media conditions for the entire duration of the experiments. This simple passive element has the potential for wide use as it is easy to implement and can be optimised for different experimental requirements
Association study of DNAJC13, UCHL1, HTRA2, GIGYF2, and EIF4G1 with Parkinson's disease
International audienceRare mutations in genes originally discovered in multigenerational families have been associated with increased risk of Parkinson's disease (PD). The involvement of rare variants in DNAJC13, UCHL1, HTRA2, GIGYF2, and EIF4G1 loci has been poorly studied or has produced conflicting results across cohorts. However, they are still being often referred to as "PD genes" and used in different models. To further elucidate the role of these 5 genes in PD, we fully sequenced them using molecular inversion probes in 2408 patients with PD and 3444 controls from 3 different cohorts. A total of 788 rare variants were identified across the 5 genes and 3 cohorts. Burden analyses and optimized sequence Kernel association tests revealed no significant association between any of the genes and PD after correction for multiple comparisons. Our results do not support an association of the 5 tested genes with PD. Combined with previous studies, it is unlikely that any of these genes plays an important role in PD. Their designation as "PARK" genes should be reconsidered
Fine mapping of the HLA locus in Parkinsonâs disease in Europeans
We fine mapped the leukocyte antigen (HLA) region in 13,770 Parkinsonâs disease (PD) patients, 20,214 proxy-cases, and 490,861 controls of European origin. Four HLA types were associated with PD after correction for multiple comparisons, HLA-DQA1*03:01, HLA-DQB1*03:02, HLA-DRB1*04:01, and HLA-DRB1*04:04. Haplotype analyses followed by amino acid analysis and conditional analyses suggested that the association is protective and primarily driven by three specific amino acid polymorphisms present in most HLA-DRB1*04 subtypesâ11V, 13H, and 33H (OR = 0.87, 95% CI: 0.83â0.90, p < 8.23 Ă 10â9 for all three variants). No other effects were present after adjustment for these amino acids. Our results suggest that specific HLA-DRB1 variants are associated with reduced risk of PD, providing additional evidence for the role of the immune system in PD. Although effect size is small and has no diagnostic significance, understanding the mechanism underlying this association may lead to the identification of new targets for therapeutics development
Dopamine pathway and Parkinson's risk variants are associated with levodopa-induced dyskinesia.
[en] BACKGROUND: Levodopa-induced dyskinesia (LID) is a common adverse effect of levodopa, one of the main therapeutics used to treat the motor symptoms of Parkinson's disease (PD). Previous evidence suggests a connection between LID and a disruption of the dopaminergic system as well as genes implicated in PD, including GBA1 and LRRK2.
OBJECTIVES: To investigate the effects of genetic variants on risk and time to LID.
METHODS: We performed a genome-wide association study (GWAS) and analyses focused on GBA1 and LRRK2 variants. We also calculated polygenic risk scores including risk variants for PD and variants in genes involved in the dopaminergic transmission pathway. To test the influence of genetics on LID risk we used logistic regression, and to examine its impact on time to LID we performed Cox regression including 1,612 PD patients with and 3,175 without LID.
RESULTS: We found that GBA1 variants were associated with LID risk (OR=1.65, 95% CI=1.21-2.26, p=0.0017) and LRRK2 variants with reduced time to LID onset (HR=1.42, 95% CI=1.09-1.84, p=0.0098). The fourth quartile of the PD PRS was associated with increased LID risk (ORfourth_quartile=1.27, 95% CI=1.03-1.56, p=0.0210). The third and fourth dopamine pathway PRS quartiles were associated with a reduced time to development of LID (HRthird_quartile=1.38, 95% CI=1.07-1.79, p=0.0128; HRfourth_quartile=1.38, 95% CI=1.06-1.78, p=0.0147).
CONCLUSIONS: This study suggests that variants implicated in PD and in the dopaminergic transmission pathway play a role in the risk/time to develop LID. Further studies will be necessary to examine how these findings can inform clinical care.3. Good health and well-bein