Journal Articles

Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915

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    Exploring geographic differences in IgE response through network and manifold analyses
    (Elsevier Inc. on behalf of the American Academy of Allergy, Asthma & Immunology, 2026-01-01) Cucco A; Pearce N; Simpson A; Pembrey L; Mpairwe H; Figueiredo CA; Cooper PJ; Douwes J; Brooks C; Adcock IM; Kermani NZ; Roberts GDM; Murray CS; Custovic A; Fontanella S; WASP Study Group; STELAR/UNICORN Consortium; U-BIOPRED Consortium
    Background: Component-resolved diagnostics allow detailed assessment of IgE sensitization to multiple allergenic molecules (component-specific IgEs, or c-sIgEs) and may be useful for asthma diagnosis. However, to effectively use component-resolved diagnostics across diverse settings, it is crucial to account for geographic differences. Objective: We investigated spatial determinants of c-sIgE networks to facilitate development of diagnostic algorithms applicable globally. Methods: We used multiplex component-resolved diagnostics array to measure c-sIgE to 112 proteins in an international collaboration of several studies: WASP (World Asthma Phenotypes; United Kingdom, New Zealand, Brazil, Ecuador, and Uganda), U-BIOPRED (Unbiased Biomarkers for the Prediction of Respiratory Disease Outcomes; 7 European countries), and MAAS (Manchester Asthma and Allergy Study, a UK population-based birth cohort). Hierarchical clustering on low-dimensional representation of co-occurrence networks ascertained sensitization and c-sigE clusters across populations. Cross-country comparisons focused on a common subset of 18 c-sIgEs. We investigated sensitization networks across regions in relation to asthma severity. Results: Sensitization profiles shared similarities across regions. For 18 c-sIgEs shared across study populations, the response structure enabled differentiation between different geographic areas and study designs, revealing 3 clusters: (1) Uganda, Ecuador, and Brazil, (2) U-BIOPRED children and adults, and (3) New Zealand, United Kingdom, and MAAS. Spectral clustering identified differences between clusters. We observed constant, almost parallel shifts between severe and nonsevere asthma in each country. Conclusions: Patterns of c-sIgE response reflect geographic location and study design. However, despite geographic differences in c-sIgE networks, there is a remarkably consistent shift between networks of subjects with nonsevere and severe asthma.
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    Centrality statistics of symptom networks of schizophrenia: a systematic review
    (Cambridge University Press, 2024-01-04) Buchwald K; Narayanan A; Siegert RJ; Vignes M; Arrowsmith K; Sandham M
    The network theory of psychological disorders posits that systems of symptoms cause, or are associated with, the expression of other symptoms. Substantial literature on symptom networks has been published to date, although no systematic review has been conducted exclusively on symptom networks of schizophrenia, schizoaffective disorder, and schizophreniform (people diagnosed with schizophrenia; PDS). This study aims to compare statistics of the symptom network publications on PDS in the last 21 years and identify congruences and discrepancies in the literature. More specifically, we will focus on centrality statistics. Thirty-two studies met the inclusion criteria. The results suggest that cognition, and social, and occupational functioning are central to the network of symptoms. Positive symptoms, particularly delusions were central among participants in many studies that did not include cognitive assessment. Nodes representing cognition were most central in those studies that did. Nodes representing negative symptoms were not as central as items measuring positive symptoms. Some studies that included measures of mood and affect found items or subscales measuring depression were central nodes in the networks. Cognition, and social, and occupational functioning appear to be core symptoms of schizophrenia as they are more central in the networks, compared to variables assessing positive symptoms. This seems consistent despite heterogeneity in the design of the studies.
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    Network analysis applied to post-concussion symptoms in two mild traumatic brain injury samples.
    (Frontiers Media S.A., 2023-07-20) Faulkner JW; Theadom A; Snell DL; Williams MN; Andelic N
    OBJECTIVE: A latent disease explanation cannot exclusively explain post-concussion symptoms after mild traumatic brain injury (mTBI). Network analysis offers an alternative form of explanation for relationships between symptoms. The study aimed to apply network analysis to post-concussion symptoms in two different mTBI cohorts; an acute treatment-seeking sample and a sample 10 years post-mTBI. METHOD: The treatment-seeking sample (n = 258) were on average 6 weeks post-injury; the 10 year post mTBI sample (n = 193) was derived from a population-based incidence and outcomes study (BIONIC). Network analysis was completed on post-concussion symptoms measured using the Rivermead Post-Concussion Questionnaire. RESULTS: In the treatment-seeking sample, frustration, blurred vision, and concentration difficulties were central to the network. These symptoms remained central in the 10 year post mTBI sample. A Network Comparison Test revealed evidence of a difference in network structure across the two samples (p = 0.045). However, the only symptoms that showed significant differences in strength centrality across samples were irritability and restlessness. CONCLUSION: The current findings suggest that frustration, blurred vision and concentration difficulties may have an influential role in the experience and maintenance of post-concussion symptoms. The impact of these symptoms may remain stable over time. Targeting and prioritising the management of these symptoms may be beneficial for mTBI rehabilitation.
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    Comparative Transcriptomics of Multi-Stress Responses in Pachycladon cheesemanii and Arabidopsis thaliana.
    (MDPI (Basel, Switzerland), 2023-07-11) Dong Y; Gupta S; Wargent JJ; Putterill J; Macknight RC; Gechev TS; Mueller-Roeber B; Dijkwel PP; You FM
    The environment is seldom optimal for plant growth and changes in abiotic and biotic signals, including temperature, water availability, radiation and pests, induce plant responses to optimise survival. The New Zealand native plant species and close relative to Arabidopsis thaliana, Pachycladon cheesemanii, grows under environmental conditions that are unsustainable for many plant species. Here, we compare the responses of both species to different stressors (low temperature, salt and UV-B radiation) to help understand how P. cheesemanii can grow in such harsh environments. The stress transcriptomes were determined and comparative transcriptome and network analyses discovered similar and unique responses within species, and between the two plant species. A number of widely studied plant stress processes were highly conserved in A. thaliana and P. cheesemanii. However, in response to cold stress, Gene Ontology terms related to glycosinolate metabolism were only enriched in P. cheesemanii. Salt stress was associated with alteration of the cuticle and proline biosynthesis in A. thaliana and P. cheesemanii, respectively. Anthocyanin production may be a more important strategy to contribute to the UV-B radiation tolerance in P. cheesemanii. These results allowed us to define broad stress response pathways in A. thaliana and P. cheesemanii and suggested that regulation of glycosinolate, proline and anthocyanin metabolism are strategies that help mitigate environmental stress.
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    Nature Connection, Mindfulness, and Wellbeing: A Network Analysis
    (LIDSEN Publishing Inc., 2023-11-06) Capizzi R; Kempton HM; Conboy LA
    Relationships between nature connection, mindfulness and wellbeing have been observed through nature based therapeutic interventions, where mindfulness and nature appear to reciprocally influence each other in relation to wellbeing and is potentially consistent with attention restoration theory. However, previous studies have relied on examining nature based interventions rather than the role of nature connection in everyday lives. This investigation explored the relationship between nature connection, mindfulness, and wellbeing within a general population sample in Auckland, New Zealand during the COVID-19 pandemic. Participants (n = 472) completed a survey questionnaire measuring nature connectedness (CNS), hedonic and eudemonic wellbeing (PANAS and MLQ), stress (PSS), and mindfulness (FFMQ). Given mindfulness consists of interrelated practices and the relationship between mindfulness and nature connection is thought to be reciprocal, an EBIC GLASSO network was constructed to investigate the pathways between nature connection, mindfulness, and wellbeing. The FFMQ subscale of Observing was central to the network in terms of closeness and betweenness and had a strong correlation with CNS where it bridged CNS and wellbeing scales. This study demonstrates that individuals in their daily lives show relationships between nature connection, mindfulness, and wellbeing, and indicates that the Observing aspect of mindfulness might be useful for harnessing nature connection and wellbeing effects.