Environmental Stressors and the PINE Network: Can Physical Environmental Stressors Drive Long-Term Physical and Mental Health Risks?

Traffic-related pollution and symptoms of depression and anxiety among Chinese adults: A population-based study

BACKGROUND

Limited understanding exists regarding the associations of traffic-related pollution with depression and anxiety symptoms in individuals residing within low- and middle-income countries.

METHODS

Data for this study were extracted from the Psychology and Behavior Investigation of Chinese Residents (PBICR) survey, implemented between June 20 and August 31, 2023. We determined residential proximity to major roadways through self-reports and evaluated depression symptoms using the Patient Health Questionnaire-9 (PHQ-9), along with anxiety symptoms assessed through the Generalized Anxiety Disorder-7 (GAD-7). We examined the associations between residential proximity to major roadways and depression and anxiety symptoms using logistic regressions and generalized linear models, while controlling for potential confounding variables.

RESULTS

This study comprised a total of 22,723 participants. The adjusted odds ratios (OR) for depression symptoms were 1.34 (95 % confidence interval (CI) 1.20, 1.51), 1.29 (95 % CI 1.17, 1.43), 1.34 (95 % CI 1.20, 1.49), and 1.32 (95 % CI 1.17, 1.49) among individuals residing within <50 m, 50-100 m, 101-200 m, and 201-300 m, respectively, in comparison to those residing >300 m from a major roadway. Individuals residing <50 m, 50-100 m, 101-200 m, and 201-300 m from a major roadway exhibited adjusted OR for anxiety symptoms of 1.49 (95 % CI 1.30, 1.69), 1.21 (95 % CI 1.07, 1.37), 1.38 (95 % CI 1.21, 1.56), and 1.38 (95 % CI 1.20, 1.59), respectively, in contrast to those residing >300 m.

CONCLUSIONS

This study provides valuable insights into the associations between environmental factors and mental health. The findings underscore the importance of integrating environmental considerations into comprehensive mental health frameworks, especially for individuals residing near high-traffic areas.

The Phytoneuroendocrine System: Connecting Plants to Human Systems Biology

Traditional medicine, exemplified by systems such as Ayurveda, inherently adopts a holistic framework. This framework extends beyond mere consideration of the human body to encompass broader systems of health, integrating elements of nature, particularly plants. Over time, there has been a notable integration between traditional medical philosophies and modern scientific methodologies. This integration is evident in published works that blend these disciplines, resulting in the creation of innovative terminology, such as «Ayurnutrigenomics». Concurrently, the lexicon within medical science has evolved to highlight the connection of body systems, as illustrated by terms like «gut-brain axis», which emphasize the relationship between physiological and psychological factors. This integration of perspectives is further demonstrated by terms such as «psychoneuroendocrine» and «mind-heart-body», reflecting a holistic approach to health. Alongside the emergence of these novel terms, there has been a proliferation of literature exploring the diverse functions of plants, particularly focusing on phytonutrients such as those found in the polyphenol category of compounds. In many ways, these emerging findings suggest a fundamental relationship between humans and plants, aligning with the principles of traditional medicine and indicating a profound connection between the two. Thus, in harmony with the increasing recognition of the interconnectedness between human systems biology, the study of phytochemicals, and the ability of plants to influence neuroendocrine responses, this article proposes a new term: the phytoneuroendocrine system.

Forgetful, sad and old: Do vascular cognitive impairment and depression share a common pre-disease network and how is it impacted by ageing?

Vascular cognitive impairment (VCI) and depression frequently coexist in geriatric populations and reciprocally increase disease risks. We assert that a shared pre-disease state of the psycho-immune-neuroendocrine (PINE) network model mechanistically explains bidirectional associations between VCI and depression. Five pathophysiological sub-networks are identified that are shared by VCI and depression: neuroinflammation, kynurenine pathway imbalance, hypothalamic-pituitary-adrenal (HPA) axis overactivity, impaired neurotrophic support and cerebrovascular dysfunction. These do not act independently, and their complex interactions necessitate a systems biology approach to better define disease pathogenesis. The PINE network is already established in the context of non-communicable diseases (NCDs) such as depression, hypertension, atherosclerosis, coronary heart disease and type 2 diabetes mellitus. We build on previous literature to specifically explore mechanistic links between MDD and VCI in the context of PINE pathways and discuss key mechanistic commonalities linking these comorbid conditions and identify a common pre-disease state which precedes transition to VCI and MDD. We expand the model to incorporate bidirectional interactions with biological ageing. Diathesis factors for both VCI and depression feed into this network and the culmination of shared mechanisms (on an ageing substrate) lead to a critical network transition to one or both disease states. A common pre-disease state underlying VCI and depression can provide clinicians a unique opportunity for early risk assessment and intervention in disease development. Establishing the mechanistic elements and systems biology of this network can reveal early warning or predictive biomarkers together with novel therapeutic targets. Integrative studies are recommended to elucidate the dynamic networked biology of VCI and depression over time.