Estimating the Health Effects of Greenhouse Gas Mitigation Strategies: Addressing Parametric,Model, and Valuation Challenges

Background: Policy decisions regarding climate change mitigation are increasingly incorporating the beneficial and adverse health impacts of greenhouse gas emission reduction strategies. Studies of such co-benefits and co-harms involve modeling approaches requiring a range of analytic decisions that affect the model output.Objective: Our objective was to assess analytic decisions regarding model framework, structure, choice of parameters, and handling of uncertainty when modeling health co-benefits, and to make recommendations for improvements that could increase policy uptake.Methods: We describe the assumptions and analytic decisions underlying models of mitigation co-benefits, examining their effects on modeling outputs, and consider tools for quantifying uncertainty.Discussion: There is considerable variation in approaches to valuation metrics, discounting methods, uncertainty characterization and propagation, and assessment of low-probability/high-impact events. There is also variable inclusion of adverse impacts of mitigation policies, and limited extension of modeling domains to include implementation considerations. Going forward, co-benefits modeling efforts should be carried out in collaboration with policy makers; these efforts should include the full range of positive and negative impacts and critical uncertainties, as well as a range of discount rates, and should explicitly characterize uncertainty. We make recommendations to improve the rigor and consistency of modeling of health co-benefits.Conclusion: Modeling health co-benefits requires systematic consideration of the suitability of model assumptions, of what should be included and excluded from the model framework, and how uncertainty should be treated. Increased attention to these and other analytic decisions has the potential to increase the policy relevance and application of co-benefits modeling studies, potentially helping policy makers to maximize mitigation potential while simultaneously improving health.Citation: Remais JV, Hess JJ, Ebi KL, Markandya A, Balbus JM, Wilkinson P, Haines A, Chalabi Z. 2014. Estimating the health effects of greenhouse gas mitigation strategies: addressing parametric, model, and valuation challenges. Environ Health Perspect 122:447–455; http://dx.doi.org/10.1289/ehp.1306744     

CD4/CD8 ratio is a promising candidate for non-invasive measurement of liver fibrosis in chronic HCV-monoinfected patients

The extent of liver fibrosis is an important factor in prognosis and clinical decision-making in chronic hepatitis C virus (HCV) infection. We investigated CD4/CD8 ratio in HCV-monoinfected and HIV/HCV-coinfected patients, in order to reveal its relation with liver fibrosis. CD4/CD8 ratio in the peripheral blood was assessed by flow cytometry in a cohort of 19 HCV-monoinfected, 14 HIV/HCV-coinfected, ten HIV-monoinfected patients and 15 healthy controls. Liver fibrosis was assessed by transient elastography (n?=?25) or by liver biopsy (n?=?8). Coinfection with HIV was associated with decreased CD4/CD8 ratios in chronic HCV-infected patients, despite adequate antiretroviral treatment. Furthermore, HCV-monoinfected patients with F3-F4 liver fibrosis demonstrated much lower CD4/CD8 ratios than patients with F0-F2 fibrosis (1.4 versus 2.5, p?=?0.023). Similarly, we observed a strong negative correlation between the CD4/CD8 ratio and liver stiffness measured by transient elastography (R?=??0.78, p?=?0.0006). ROC analysis revealed that CD4/CD8 ratio as a non-invasive marker for fibrosis is very promising (area under the curve 0.8). Although our study was performed with a relatively small number of patients, our findings suggest that the CD4/CD8 ratio is a promising candidate for non-invasive evaluation of liver fibrosis in HCV-monoinfected patients.     

Reciprocal regulation of TREK-1 channels by arachidonic acid and CRH in mouse corticotropes

Arachidonic acid (AA) is generated in the anterior pituitary gland upon stimulation by the ACTH secretagogue, CRH. Using the patch clamp technique, we examined the action of AA on the excitability of single pituitary corticotropes obtained from a transgenic mouse strain that expresses the enhanced green fluorescent protein driven by the proopiomelanocortin promoter. CRH evoked depolarization, but AA caused hyperpolarization. Under voltage clamp condition, AA caused a rapid inhibition of the delayed rectifier K(+) current and then increased a background K(+) current. Inhibition of AA metabolism did not prevent the activation of the K(+) current by AA, suggesting a direct action of AA. The sensitivity of the AA-activated K(+) current to fluoxetine, chlorpromazine, extracellular acidification, diphenylbutylpiperidine antipsychotics, and the membrane permeable cAMP analog [8-(4-chlorophenylthio)-cAMP] suggest that the current is mediated via TWIK-related K(+) channel (TREK)-1 channels. Activation of the CRH receptors that are coupled to the adenylate cyclase pathway suppressed the activation of TREK-1 current by AA and reversed the AA-mediated hyperpolarization. Intracellular acidification (pH 7.0) increased the basal amplitude of TREK-1 current and resulted in hyperpolarizaton. CRH suppressed the basal TREK-1 current in cells with intracellular acidification and caused depolarization. Our finding indicates that TREK-1 channels are important in setting the resting potential in corticotropes. The opposing actions of CRH and AA on the excitability of corticotropes raise the possibility that AA may act as a negative feedback regulator to reduce the stimulatory action of CRH and thus prevent excessive ACTH release during chronic stress.     

Inherited predisposition to CLL is detectable as subclinical monoclonal B-lymphocyte expansion

Monoclonal chronic lymphocytic leukemia (CLL)-phenotype cells are detectable in 3.5% of otherwise healthy persons using flow cytometric analysis of CD5/CD20/CD79b expression on CD19-gated B cells. To determine whether detection of such CLL-phenotype cells is indicative of an inherited predisposition, we examined 59 healthy, first-degree relatives of patients from 21 families with CLL. CLL-phenotype cells were detected in 8 of 59 (13.5%) relatives, representing a highly significant increase in risk (P =.00002). CLL-phenotype cell levels were stable with time and had the characteristics of indolent CLL. Indolent and aggressive clinical forms were found in family members, suggesting that initiation and proliferation involves distinct factors. The detection of CLL-phenotype cells provides a surrogate marker of carrier status, potentially facilitating gene identification through mapping in families and direct analysis of isolated CLL-phenotype cells.     

Collagen IV differentially regulates planarian stem cell potency and lineage progression

The extracellular matrix (ECM) provides a precise physical and molecular environment for cell maintenance, self-renewal, and differentiation in the stem cell niche. However, the nature and organization of the ECM niche is not well understood. The adult freshwater planarian Schmidtea mediterranea maintains a large population of multipotent stem cells (neoblasts), presenting an ideal model to study the role of the ECM niche in stem cell regulation. Here we tested the function of 165 planarian homologs of ECM and ECM-related genes in neoblast regulation. We identified the collagen gene family as one with differential effects in promoting or suppressing proliferation of neoblasts. col4-1, encoding a type IV collagen α-chain, had the strongest effect. RNA interference (RNAi) of col4-1 impaired tissue maintenance and regeneration, causing tissue regression. Finally, we provide evidence for an interaction between type IV collagen, the discoidin domain receptor, and neuregulin-7 (NRG-7), which constitutes a mechanism to regulate the balance of symmetric and asymmetric division of neoblasts via the NRG-7/EGFR pathway.

Across the animal kingdom, stem cell function is regulated by the microenvironment in the surrounding niche (1), where the concentration of molecular signals for self-renewal and differentiation can be precisely regulated (2). The niche affects stem cell biology in many processes, such as aging and tissue regeneration, as well as pathological conditions such as cancer (3). Most studies have been done in tissues with large stem cell populations, such as the intestinal crypt (4) and the hair follicle (5) in mice. Elucidation of the role of the stem cell niche in tissue regeneration requires the study of animals with high regenerative potential, such as freshwater planarians (flatworms) (6). Dugesia japonica and Schmidtea mediterranea are two well-studied species that possess the ability to regenerate any missing body part (6, 7).Adult S. mediterranea maintain a high number of stem cells (neoblasts)—∼10 to 30% of all somatic cells in the adult worm—with varying potency, including pluripotent cells (8–14). Neoblasts are the only proliferating somatic cells: they are molecularly heterogeneous, but all express piwi-1 (15–18). Lineage-committed neoblasts are “progenitors” that transiently express both piwi-1 and tissue-specific genes (15, 19). Examples include early intestinal progenitors (γ neoblast, piwi-1⁺/hnf4⁺) (8, 10, 15, 19–21) and early epidermal progenitors (ζ neoblast, piwi-1⁺/zfp-1⁺) (8, 15). Other progenitor markers include collagen for muscles (22), ChAT for neurons (23), and cavII for protonephridia (24, 25). During tissue regeneration, neoblasts are recruited to the wound site, where they proliferate then differentiate to replace the missing cell types (16, 26). Some neoblasts express the pluripotency marker tgs-1, and are designated as clonogenic neoblasts (cNeoblasts) (10, 11). cNeoblasts are located in the parenchymal space adjacent to the gut (11).Neoblasts are sensitive to γ-irradiation and can be preferentially depleted in the adult planarian (27). After sublethal γ-irradiation, remaining cNeoblasts can repopulate the stem cell pool within their niche (10, 11). The close proximity of neoblasts to the gut suggests gut may be a part of neoblast niche (28, 29). When gut integrity was impaired by silencing gata4/5/6, the egfr-1/nrg-1 ligand-receptor pair, or wwp1, maintenance of non–γ-neoblasts were also disrupted (20, 30, 31), but whether that indicates the gut directly regulates neoblast remains unclear. There is evidence indicating the dorsal-ventral (D/V) transverse muscles surrounding the gut may promote neoblast proliferation and migration, with the involvement of matrix metalloproteinase mt-mmpB (32, 33). The central nervous system has also been implicated in influencing neoblast maintenance through the expression of EGF homolog neuregulin-7 (nrg-7), a ligand for EGFR-3, affecting the balance of neoblast self-renewal (symmetric or asymmetric division) (34).In other model systems, an important component of the stem-cell niche is the extracellular matrix (ECM) (35). Germline stem cells in Drosophila are anchored to niche supporting cells with ECM on one side, while the opposite side is exposed to differentiation signals, allowing asymmetric cell fate outcomes for self-renewal or differentiation following division (36–38). Few studies have addressed the ECM in planarians, largely due to the lack of genetic tools to manipulate the genome, the absence of antibodies to specific planarian ECM homologs, or the tools required to study cell fate changes. However, the genomes of D. japonica (39–41) and S. mediterranea (41–45), and single-cell RNA-sequencing (scRNA-seq) datasets for S. mediterranea are now available (11, 46–50). A recent study of the planarian matrisome demonstrated that muscle cells are the primary source of many ECM proteins (51), which, together with those produced by neoblasts and supporting parenchymal cells, may constitute components of the neoblast niche. For example, megf6 and hemicentin restrict neoblast’s localization within the parenchyma (51, 52). Functional studies also implicate ECM-modifiers, such as matrix metalloproteases (MMPs) in neoblast migration and regeneration. For example, reducing the activity of the ECM-degrading enzymes mt-mmpA (26, 33), mt-mmpB (53), or mmp-1 (33) impaired neoblast migration, proliferation, or overall tissue growth, respectively. Neoblasts are also likely to interact with ECM components of the niche via cell surface receptors, such as β1 integrin, inactivation of which impairs brain regeneration (54, 55).Here, we identified planarian ECM homologs in silico, followed by systematic functional assessment of 165 ECM and ECM-related genes by RNA interference (RNAi), to determine the effect on neoblast repopulation in planarians challenged by a sublethal dose of γ-irradiation (10). Surprisingly, multiple classes of collagens were shown to have the strongest effects. In particular, we show that the type IV collagens (COLIV) of basement membranes (BMs), were required to regulate the repopulation of neoblasts as well as lineage progression to progenitor cells. Furthermore, our data support an interaction between COLIV and the discoidin domain receptor (DDR) in neurons that activates signaling of NRG-7 in the neoblasts to regulate neoblast self-renewal versus differentiation. Together, these data demonstrate multifaceted regulation of planarian stem cells by ECM components.