-
Proceedings. Biological Sciences Aug 2021Interactions among parasites and other microbes within hosts can impact disease progression, yet study of such interactions has been mostly limited to pairwise...
Interactions among parasites and other microbes within hosts can impact disease progression, yet study of such interactions has been mostly limited to pairwise combinations of microbes. Given the diversity of microbes within hosts, indirect interactions among more than two microbial species may also impact disease. To test this hypothesis, we performed inoculation experiments that investigated interactions among two fungal parasites, and and a systemic fungal endophyte, within the grass, tall fescue (). Both direct and indirect interactions impacted disease progression. While the endophyte did not directly influence disease progression or symptom development, the endophyte modified the interaction between the two parasites The magnitude of the facilitative effect of on the growth of tended to be greater when the endophyte was present. Moreover, this interaction modification strongly affected leaf mortality. For plants lacking the endophyte, parasite co-inoculation did not increase leaf mortality compared to single-parasite inoculations. By contrast, for endophyte-infected plants, parasite co-inoculation increased leaf mortality compared to inoculation with or alone by 1.9 or 4.9 times, respectively. Together, these results show that disease progression can be strongly impacted by indirect interactions among microbial symbionts.
Topics: Animals; Colletotrichum; Disease Progression; Endophytes; Epichloe; Parasites; Rhizoctonia
PubMed: 34375557
DOI: 10.1098/rspb.2021.1313 -
Deutsches Arzteblatt International Feb 2016
Topics: Disease Progression; Humans
PubMed: 26940782
DOI: 10.3238/arztebl.2016.0116a -
Clinical Rheumatology Jul 2021
Topics: B-Lymphocytes; Disease Progression; Fibrosis; Humans; Inflammation; Scleroderma, Systemic
PubMed: 34021841
DOI: 10.1007/s10067-021-05733-4 -
Cancer Discovery May 2022MDS HSCs display two separate differentiation patterns that expand at disease progression.
MDS HSCs display two separate differentiation patterns that expand at disease progression.
Topics: Disease Progression; Humans; Myelodysplastic Syndromes
PubMed: 35491631
DOI: 10.1158/2159-8290.CD-RW2022-045 -
The Plant Cell May 2020
Topics: Arabidopsis; Disease Progression; Humans; Mycoses; Phosphatidylinositols
PubMed: 32169956
DOI: 10.1105/tpc.20.00193 -
Parkinsonism & Related Disorders Apr 2024Long-term Parkinson's disease (PD) progression is not a homogeneous process and manifests in diverse ways over the lifetime. Recognition of progression benchmarks and...
Long-term Parkinson's disease (PD) progression is not a homogeneous process and manifests in diverse ways over the lifetime. Recognition of progression benchmarks and their substrates is important for treatment and addressing the expectations of patients, as well as for PD research planning.
Topics: Humans; Parkinson Disease; Benchmarking; Disease Progression; Recognition, Psychology
PubMed: 38360506
DOI: 10.1016/j.parkreldis.2024.106037 -
Revue Medicale Suisse Oct 2023
Topics: Humans; Disease Progression; Penicillins; Hypersensitivity
PubMed: 37791697
DOI: 10.53738/REVMED.2023.19.844.1810 -
Bioinformatics (Oxford, England) Mar 2020The time evolution or dynamic change of many biological systems during disease progression is not always smooth but occasionally abrupt, that is, there is a tipping...
MOTIVATION
The time evolution or dynamic change of many biological systems during disease progression is not always smooth but occasionally abrupt, that is, there is a tipping point during such a process at which the system state shifts from the normal state to a disease state. It is challenging to predict such disease state with the measured omics data, in particular when only a single sample is available.
RESULTS
In this study, we developed a novel approach, i.e. single-sample landscape entropy (SLE) method, to identify the tipping point during disease progression with only one sample data. Specifically, by evaluating the disorder of a network projected from a single-sample data, SLE effectively characterizes the criticality of this single sample network in terms of network entropy, thereby capturing not only the signals of the impending transition but also its leading network, i.e. dynamic network biomarkers. Using this method, we can characterize sample-specific state during disease progression and thus achieve the disease prediction of each individual by only one sample. Our method was validated by successfully identifying the tipping points just before the serious disease symptoms from four real datasets of individuals or subjects, including influenza virus infection, lung cancer metastasis, prostate cancer and acute lung injury.
AVAILABILITY AND IMPLEMENTATION
https://github.com/rabbitpei/SLE.
SUPPLEMENTARY INFORMATION
Supplementary data are available at Bioinformatics online.
Topics: Algorithms; Databases, Genetic; Disease Progression; Entropy; Humans; Neoplasms
PubMed: 31598632
DOI: 10.1093/bioinformatics/btz758 -
Nature Reviews. Neurology Jun 2019
Topics: Disease Progression; Humans; Nervous System Diseases; Parkinson Disease; Tremor
PubMed: 31048773
DOI: 10.1038/s41582-019-0198-9 -
Journal of Neurology May 2023Actigraphy has been proposed as a measure for tracking functional decline and disease progression in patients with Motor Neuron Disease (MND). There is, however, little...
BACKGROUND
Actigraphy has been proposed as a measure for tracking functional decline and disease progression in patients with Motor Neuron Disease (MND). There is, however, little evidence to show that wrist-based actigraphy measures correlate with functional decline, and no consensus on how best to implement actigraphy. We report on the use of wrist actigraphy to show decreased activity in patients compared to controls, and compared the utility of wrist- and hip-based actigraphy for assessing functional decline in patients with MND.
METHODS
In this multi-cohort, multi-centre, natural history study, wrist- and hip-based actigraphy were assessed in 139 patients with MND (wrist, n = 97; hip, n = 42) and 56 non-neurological control participants (wrist, n = 56). For patients with MND, longitudinal measures were contrasted with clinical outcomes commonly used to define functional decline.
RESULTS
Patients with MND have reduced wrist-based actigraphy scores when compared to controls (median differences: prop. active = - 0.053 [- 0.075, - 0.026], variation axis 1 = - 0.073 [- 0.112, - 0.021]). When comparing wrist- and hip-based measures, hip-based accelerometery had stronger correlations with disease progression (prop. active: τ = 0.20 vs 0.12; variation axis 1: τ = 0.33 vs 0.23), whereas baseline wrist-based accelerometery was better related with future decline in fine-motor function (τ = 0.14-0.23 vs 0.06-0.16).
CONCLUSIONS
Actigraphy outcomes measured from the wrist are more variable than from the hip and present differing sensitivity to specific functional outcomes. Outcomes and analysis should be carefully constructed to maximise benefit, should wrist-worn devices be used for at-home monitoring of disease progression in patients with MND.
Topics: Humans; Wrist; Actigraphy; Motor Neuron Disease; Disease Progression
PubMed: 36740646
DOI: 10.1007/s00415-023-11584-7