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Abstract Background Climate change poses a significant threat to agricultural production worldwide, with developing countries being particularly vulnerable to its negative impacts. Agriculture, which is a crucial factor in ensuring food security and livelihoods, is particularly vulnerable to changes in climate patterns, such as increased temperatures, drought, and extreme weather events. One approach to addressing these challenges is by promoting the adoption of climate‐smart agriculture (CSA) practices among farmers. CSA combines traditional agricultural practices with innovative techniques and technologies to adapt to and mitigate the impacts of climate change. infrastructure. By adopting CSA practices, farmers can enhance their resilience to climate variability and improve their productivity. Objectives This review examines the effectiveness of interventions promoting CSA to enhance farmers' knowledge of the benefits of CSA approaches, subsequent adoption of CSA, and disadoption of harmful agricultural practices in low‐ and middle‐income countries (LMICs). Search Methods We searched 39 academic and online databases, websites, and repositories and screened over 19,000 experimental and quasi‐experimental publications to identify studies promoting CSA practices to women farmers. We conducted a citation tracking process on included studies and contacted experts to ensure a thorough search. Selection Criteria The review focused on studies that included interventions promoting climate‐smart agricultural approaches. Using EPPI Reviewer 4, two review authors independently screened the impact evaluation using a standardized screening tool. Data Collection and Analysis Information about participant characteristics, intervention characteristics, control conditions, research design, sample size, bias risk, outcomes, and results were gathered. Data collection and quantitative analysis were conducted using standard Campbell Collaboration methods. Main Results Eight impact evaluations were found (two randomized controlled trials) evaluating the effects of CSA practices on farmer's knowledge gains of the benefits of CSA practices and subsequent adoption. Knowledge dissemination approaches such as Farmer Field Schools and weather and climate information services were found to positively impact farmers' knowledge and adoption of specific CSA practices. However, the evidence supporting this claim is uncertain as a high risk of bias was assessed for five of the eight included studies. However, we found no effects on the disadoption of harmful practices such as pesticide overuse. Authors' Conclusions The evidence base for studies promoting climate‐smart agricultural approaches (CSA) to farmers in LMICs is small, and there is a lack of studies reporting sex‐disaggregated data and studies explicitly targeting women farmers. The review suggests that knowledge dissemination techniques are significantly effective in improving CSA knowledge and adoption, including integrated pest management techniques and their benefits, adoption of climate‐resilient rice seed varieties (STRVs), and use of botanical pesticides by farmers. More and better confidence studies are needed to inform policy and programming, including those that look at a wider range of interventions, including changing norms, values, and institutional arrangements.

Abstract Background Value chain interventions have become widespread throughout the international development sector over the last 20 years, and there is a need to evaluate their effectiveness in improving women's welfare across multiple dimensions. Agricultural value chains are influenced by socio‐cultural norms and gender dynamics that have an impact on the distribution of resources, benefits, and access to opportunities. While women play a critical role in agriculture, they are generally confined to the least‐valued parts of the value chain with the lowest economic returns, depending on the local, social and institutional contexts. Objectives The review assesses the effectiveness of approaches, strategies and interventions focused on women's engagement in agricultural value chains that lead to women's economic empowerment in low‐ and middle‐income countries. It explores the contextual barriers and facilitators that determine women's participation in value chains and ultimately impact their effectiveness. Search Methods We searched completed and on‐going studies from Scopus, Web of Science Core Collection (Social Sciences Citation Index [SSCI], Science Citation Index Expanded [SCI‐EXPANDED], Conference Proceedings Citation Index – Science [CPCI‐S], Conference Proceedings Citation Index – Social Science & Humanities [CPCI‐SSH], and Emerging Sources Citation Index [ESCI]), International Bibliography of the Social Sciences, EconLit, Business Source Premier, APA PsycInfo, Cochrane Central Register of Controlled Trials, Cochrane, Database of Systematic Reviews, CAB Abstracts and Sociological Abstracts. We also searched relevant websites such as Consortium of International Agricultural Research Centers (CGIAR); the International Fund for Agricultural Development (IFAD); AgriProFocus; the Bill & Melinda Gates Foundation (BMGF); Donor Committee for Enterprise Development; the UN Food and Agriculture Organisation (FAO); the International Labour Organisation (ILO); the Netherlands Development Organisation; USAID; the Swiss Agency for Development and Cooperation; the International Food Policy Research Institute; World Agroforestry; the International Livestock Research Institute; the Foreign, Commonwealth & Development Office; the British Library for Development Studies (BLDS); AGRIS; the IMMANA grant database; the 3ie impact evaluation database; Innovations for Poverty Action (IPA); The Abdul Latif Jameel Poverty Action Lab (J‐PAL); the World Bank IEG evaluations; the USAID Development Data Library; Experience Clearinghouse; the proceedings of the Agriculture, Nutrition and Health Academy conference; the proceedings of the Centre for the Study of African Economies (CSAE) Conference; the proceedings of the North East Universities Development Consortium (NEUDC) Conference; and the World Bank Economic Review. The database search was conducted in March 2022, and the website search was completed in August 2022. Selection Criteria The review includes value chain interventions evaluating the economic empowerment outcomes. The review includes effectiveness studies (experimental and non‐experimental studies with a comparison group) and process evaluations. Data Collection and Analysis Two review authors independently assessed studies for inclusion, extracted data, critically appraised the studies, and synthesised findings. Results We found that value chain interventions are successful in improving the economic conditions of their intended beneficiaries. The interventions were found to improve women's economic outcomes such as income, assets holdings, productivity, and savings, but these effects were small in size and limited by low confidence in methodological quality. The meta‐analysis suggests that this occurs more via the acquisition of skills and improved inputs, rather than through improvement in access to profitable markets. The qualitative evidence on interventions points to the persistence of cultural barriers and other constraints. Those interventions implemented in Sub‐Saharan Africa and South Asia are consistently more successful for all outcomes considered, although there are few studies conducted in other areas of the world. Conclusions The review concludes that value chain interventions empower women, but perhaps to a lesser extent than expected. Economic empowerment does not immediately translate into empowerment within families and communities. Interventions should either moderate their expectations of empowerment goals, or they should be implemented in a way that ensures higher rates of participation among women and the acquisition of greater decision‐making power.

Climate change poses a greater threat for more exposed and vulnerable countries, communities and social groups. People whose livelihood depends on the agriculture and food sector, especially in low- and middle-income countries (LMICs), face significant risk. In contexts with gendered roles in agri-food systems or where structural constraints to gender equality underlie unequal access to resources and services and constrain women’s agency, local climate hazards and stressors, such as droughts, floods, or shortened crop-growing seasons, tend to negatively affect women more than men and women’s adaptive capacities tend to be more restrained than men’s. Transformation toward just and sustainable agri-food systems in the face of climate change will not only depend on reducing but also on averting aggravated gender inequality in agri-food systems. In this paper, we developed and applied an accessible and versatile methodology to identify and map localities where climate change poses high risk especially for women in agri-food systems because of gendered exposure and vulnerability. We label these localities climate-agriculture-gender inequality hotspots. Applying our methodology to LMICs reveals that the countries at highest risk are majorly situated in Africa and Asia. Applying our methodology for agricultural activity-specific hotspot subnational areas to four focus countries, Mali, Zambia, Pakistan and Bangladesh, for instance, identifies a cluster of districts in Dhaka and Mymensingh divisions in Bangladesh as a hotspot for rice. The relevance and urgency of identifying localities where climate change hits agri-food systems hardest and is likely to negatively affect population groups or sectors that are particularly vulnerable is increasingly acknowledged in the literature and, in the spirit of leaving no one behind, in climate and development policy arenas. Hotspot maps can guide the allocation of scarce resources to most-at-risk populations. The climate-agriculture-gender inequality hotspot maps show where women involved in agri-food systems are at high climate risk while signaling that reducing this risk requires addressing the structural barriers to gender equality.

Abstract This is the protocol for a Campbell systematic review. The main objective of the review is to answer the following questions: What is the impact of mechanisation on agriculture? What is the impact of mechanisation on women's economic empowerment? The study will review the impact of mechanisation on labour demand and supply, land and labour productivity, farmers' incomes, health and women's empowerment. All literature will be considered, including nonintervention studies and studies not reporting gender‐disaggregated results.

Abstract This is the protocol for a Campbell systematic review. The objectives are as follows: The primary objective of this review is to understand as well as evaluate what approaches, strategies or interventions focused on women's engagement in agricultural value chains and markets that have led to women's economic empowerment in low‐and‐middle‐income countries. The secondary objective of this review is to examine in which contexts are these approaches effective (or ineffective)? What are the contextual barriers and facilitators, determining the participation of women in, and benefits from, engagement in the value chain in low‐and middle‐income countries programme effectiveness. Finally, this review aims to refine the theory of change that describes how value chain interventions lead to women's economic empowerment using evidence drawn from both rigorous quantitative impact evaluation studies and qualitative studies.

Abstract This is the protocol for a Campbell systematic review. The objectives are as follows: the primary objective of this review is to synthesise evidence of the effectiveness of interventions to promote climate‐smart agriculture to enhance agricultural outcomes and resilience of women farmers in low‐and‐middle‐income countries (research question 1). The secondary objective is to examine evidence along the causal pathway from access to interventions to promote climate‐smart agriculture to empowering women so that they can use climate‐smart technology. And such outcomes include knowledge sharing, agency improvement, resource access and decision‐making (research question 2).

Abstract This is the protocol for a Campbell systematic review. The objective of this systematic review is to assess the effectiveness of interventions with gender transformative approach (GTA) components in improving women's empowerment in low‐ and middle‐income countries, and to curate evidence on the mechanisms through which GTA works to improve women's empowerment in agriculture.

IL-17C is an epithelial cell-derived proinflammatory cytokine whose transcriptional regulation remains unclear. Analysis of the IL17C promoter region identified TCF4 as putative regulator, and siRNA knockdown of TCF4 in human keratinocytes (KCs) increased IL17C. IL-17C stimulation of KCs (along with IL-17A and TNF-α stimulation) decreased TCF4 and increased NFKBIZ and ZC3H12A expression in an IL-17RA/RE-dependent manner, thus creating a feedback loop. ZC3H12A (MCPIP1/Regnase-1), a transcriptional immune-response regulator, also increased following TCF4 siRNA knockdown, and siRNA knockdown of ZC3H12A decreased NFKBIZ, IL1B, IL36G, CCL20, and CXCL1, revealing a proinflammatory role for ZC3H12A. Examination of lesional skin from the KC-Tie2 inflammatory dermatitis mouse model identified decreases in TCF4 protein concomitant with increases in IL-17C and Zc3h12a that reversed following the genetic elimination of Il17c, Il17ra, and Il17re and improvement in the skin phenotype. Conversely, interference with Tcf4 in KC-Tie2 mouse skin increased Il17c and exacerbated the inflammatory skin phenotype. Together, these findings identify a role for TCF4 in the negative regulation of IL-17C, which, alone and with TNF-α and IL-17A, feed back to decrease TCF4 in an IL-17RA/RE-dependent manner. This loop is further amplified by IL-17C-TCF4 autocrine regulation of ZC3H12A and IL-17C regulation of NFKBIZ to promote self-sustaining skin inflammation.

Interferon (IFN) activity exhibits a gender bias in human skin, skewed toward females. We show that HERC6, an IFN-induced E3 ubiquitin ligase, is induced in human keratinocytes through the epidermal type I IFN; IFN-κ. HERC6 knockdown in human keratinocytes results in enhanced induction of interferon-stimulated genes (ISGs) upon treatment with a double-stranded (ds) DNA STING activator cGAMP but not in response to the RNA-sensing TLR3 agonist. Keratinocytes lacking HERC6 exhibit sustained STING-TBK1 signaling following cGAMP stimulation through modulation of LATS2 and TBK1 activity, unmasking more robust ISG responses in female keratinocytes. This enhanced female-biased immune response with loss of HERC6 depends on VGLL3, a regulator of type I IFN signature. These data identify HERC6 as a previously unrecognized negative regulator of ISG expression specific to dsDNA sensing and establish it as a regulator of female-biased immune responses through modulation of STING signaling.

Hidradenitis suppurativa (HS) is a chronic inflammatory disease characterized by abscesses, nodules, dissecting/draining tunnels, and extensive fibrosis. Here, we integrate single-cell RNA sequencing, spatial transcriptomics, and immunostaining to provide an unprecedented view of the pathogenesis of chronic HS, characterizing the main cellular players and defining their interactions. We found a striking layering of the chronic HS infiltrate and identified the contribution of 2 fibroblast subtypes (SFRP4+ and CXCL13+) in orchestrating this compartmentalized immune response. We further demonstrated the central role of the Hippo pathway in promoting extensive fibrosis in HS and provided preclinical evidence that the profibrotic fibroblast response in HS can be modulated through inhibition of this pathway. These data provide insights into key aspects of HS pathogenesis with broad therapeutic implications.

Climate change will continue to have a largely detrimental impact on the agricultural sector worldwide because of predicted rising temperatures, variable rainfall, and an increase in extreme weather events. Reduced crop yields will lead to higher food prices and increased hardship for low income populations, especially in urban areas. Action on climate change is one of the Sustainable Development Goals (SDG 13) and is linked to the Paris Climate Agreement. The research challenge posed by climate change is so complex that a trans-disciplinary response is required, one that brings together researchers, practitioners, and policy-makers in networks where the lines between “research” and “development” become deliberately blurred. Fostering such networks will require researchers, throughout the world, not only to work across disciplines but also to pursue new South−North and South−South partnerships incorporating policy-makers and practitioners. We use our diverse research experiences to describe the emergence of such networks, such as the Direct Seeded Rice Consortium (DSRC) in South and Southeast Asia, and to identify lessons on how to facilitate and strengthen the development of trans-disciplinary responses to climate change.

The aim of the paper is to better understand how various social and policy issues constrain the adoption of innovations among dairy farmers and presents the observations of the relationship between the adoption of green fodder feeding to dairy cattle and marketing of milk in Puducherry. Though there are some isolated successes of promoting fodder entrepreneurs by the development departments in Puducherry, these approaches could not be sustained due to lack of complementary or supportive institutional arrangements. Adoption of an innovation (fodder transaction) is more constrained by social, economic and policy issues, which include transportation of fodder, relations between the fodder growers, buyers, secretary, Milk Cooperative Society, leaders of Women Self Help Groups, government policy on milk pricing, urbanization and, industrialization, rather than technological issues. The insights offered in this paper could be useful in the design of policies to address complex economic and social issues associated with fodder usage by the dairy farmers in general and landless dairy farmers in particular.

The epidermis is the outermost layer of skin. Here, we used targeted lipid profiling to characterize the biogeographic alterations of human epidermal lipids across 12 anatomically distinct body sites, and we used single-cell RNA-Seq to compare keratinocyte gene expression at acral and nonacral sites. We demonstrate that acral skin has low expression of EOS acyl-ceramides and the genes involved in their synthesis, as well as low expression of genes involved in filaggrin and keratin citrullination (PADI1 and PADI3) and corneodesmosome degradation, changes that are consistent with increased corneocyte retention. Several overarching principles governing epidermal lipid expression were also noted. For example, there was a strong negative correlation between the expression of 18-carbon and 22-carbon sphingoid base ceramides. Disease-specific alterations in epidermal lipid gene expression and their corresponding alterations to the epidermal lipidome were characterized. Lipid biomarkers with diagnostic utility for inflammatory and precancerous conditions were identified, and a 2-analyte diagnostic model of psoriasis was constructed using a step-forward algorithm. Finally, gene coexpression analysis revealed a strong connection between lipid and immune gene expression. This work highlights (a) mechanisms by which the epidermis is uniquely adapted for the specific environmental insults encountered at different body surfaces and (b) how inflammation-associated alterations in gene expression affect the epidermal lipidome.

Tape stripping is a minimally invasive, nonscarring method that can be utilized to assess gene expression in the skin but is infrequently used given technical constraints. By comparing different tape stripping technologies and full-thickness skin biopsy results of lesional and nonlesional psoriatic skin from the same patients, we demonstrate that tape stripping with optimized high-resolution transcriptomic profiling can be used to effectively assess and characterize inflammatory responses in the skin. Upon comparison with single-cell RNA-sequencing data from psoriatic full-thickness skin biopsies, we illustrate that tape-stripping efficiently captures the transcriptome of the upper layers of the epidermis with sufficient resolution to assess the molecular components of the feed-forward immune amplification pathway in psoriasis. Notably, nonlesional psoriatic skin sampled by tape stripping demonstrates activated, proinflammatory changes when compared to healthy control skin, suggesting a prepsoriatic state, which is not captured on full-thickness skin biopsy transcriptome profiling. This work illustrates an approach to assess inflammatory response in the epidermis by combining noninvasive sampling with high throughput RNA-sequencing, providing a foundation for biomarker discoveries and mechanism of action studies for inflammatory skin conditions.

BackgroundA major issue with the current management of psoriasis is our inability to predict treatment response.ObjectiveOur aim was to evaluate the ability to use baseline molecular expression profiling to assess treatment outcome for patients with psoriasis.MethodsWe conducted a longitudinal study of 46 patients with chronic plaque psoriasis treated with anti-TNF agent etanercept, and molecular profiles were assessed in more than 200 RNA-seq samples.ResultsWe demonstrated correlation between clinical response and molecular changes during the course of the treatment, particularly for genes responding to IL-17A/TNF in keratinocytes. Intriguingly, baseline gene expressions in nonlesional, but not lesional, skin were the best marker of treatment response at week 12. We identified USP18, a known regulator of IFN responses, as positively correlated with Psoriasis Area and Severity Index (PASI) improvement (P = 9.8 × 10-4) and demonstrate its role in regulating IFN/TNF responses in keratinocytes. Consistently, cytokine gene signatures enriched in baseline nonlesional skin expression profiles had strong correlations with PASI improvement. Using this information, we developed a statistical model for predicting PASI75 (ie, 75% of PASI improvement) at week 12, achieving area under the receiver-operating characteristic curve value of 0.75 and up to 80% accurate PASI75 prediction among the top predicted responders.ConclusionsOur results illustrate feasibility of assessing drug response in psoriasis using nonlesional skin and implicate involvement of IFN regulators in anti-TNF responses.