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	<title>Longitudinal &#8211; Science</title>
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	<title>Longitudinal &#8211; Science</title>
	<link>https://scienmag.com</link>
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		<title>Blood immune signatures predict which alopecia areata patients will relapse</title>
		<link>https://scienmag.com/blood-immune-signatures-predict-which-alopecia-areata-patients-will-relapse/</link>
		
		<dc:creator><![CDATA[Ophelia Keating]]></dc:creator>
		<pubDate>Sat, 12 Sep 2026 15:48:18 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[alopecia areata]]></category>
		<category><![CDATA[alopecia areata relapse prediction]]></category>
		<category><![CDATA[autoimmune hair loss biomarkers]]></category>
		<category><![CDATA[blood immune signatures in alopecia]]></category>
		<category><![CDATA[circulating immune signals in autoimmune diseases]]></category>
		<category><![CDATA[cytokine roles in alopecia areata]]></category>
		<category><![CDATA[cytokines]]></category>
		<category><![CDATA[cytokines and alopecia prognosis]]></category>
		<category><![CDATA[disease monitoring in autoimmune hair loss]]></category>
		<category><![CDATA[disease progression]]></category>
		<category><![CDATA[eosinophils]]></category>
		<category><![CDATA[IFN-γ]]></category>
		<category><![CDATA[IL-10]]></category>
		<category><![CDATA[IL-17]]></category>
		<category><![CDATA[immune biomarkers]]></category>
		<category><![CDATA[immune markers for hair loss relapse]]></category>
		<category><![CDATA[immune profiling in hair loss disorders]]></category>
		<category><![CDATA[immune system's role in alopecia progression]]></category>
		<category><![CDATA[Longitudinal]]></category>
		<category><![CDATA[predictive blood tests for alopecia areata]]></category>
		<category><![CDATA[prospective cohort]]></category>
		<category><![CDATA[prospective study on alopecia relapse]]></category>
		<category><![CDATA[relapse]]></category>
		<category><![CDATA[risk prediction]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=196023</guid>

					<description><![CDATA[A prospective cohort study of 250 patients found that blood levels of interferon-gamma, IL-17, eosinophils, and IL-10 can predict the risk of alopecia areata progression or relapse.]]></description>
										<content:encoded><![CDATA[<p>Alopecia areata is one of the most common autoimmune diseases in the world, striking suddenly and often without warning, as the immune system turns against the hair follicles and strips away hair in patches that can spread to the scalp, eyebrows, and entire body. For patients and dermatologists alike, the most frustrating feature of the condition has never been the initial flare but the uncertainty that follows. Some patients recover spontaneously or respond well to treatment, while others progress to extensive hair loss or relapse repeatedly over years, with no reliable way to know in advance which path any individual will take. A new prospective cohort study published in Archives of Dermatological Research now offers the strongest evidence yet that a simple blood test measuring circulating immune signals may help forecast that trajectory, potentially transforming how clinicians monitor and manage the disease.</p>
<p>The study, led by Yuanning Jia and Weiling Chen of Dongzhimen Hospital at Beijing University of Chinese Medicine, together with colleagues including Ye Tian, followed 250 adults with alopecia areata for up to 24 months. At enrollment, the researchers measured a panel of peripheral immune markers, including the cytokines interferon-gamma, interleukin-17, interleukin-10, and interleukin-4, alongside eosinophil counts and total immunoglobulin E. The team then tracked participants over a median follow-up of 18 months to see who would experience disease progression or relapse, the study&#8217;s primary outcome. The work was supported by the Young Teachers Project of Beijing University of Chinese Medicine and approved by the hospital&#8217;s ethics committee, with written informed consent obtained from all participants.</p>
<p>The results were striking. During follow-up, 90 patients, or 36 percent of the cohort, experienced progression or relapse of their disease. After adjusting for other variables in multivariable Cox regression models, the researchers found that each one-standard-deviation increase in baseline interferon-gamma was associated with a 58 percent higher risk of progression or relapse, with a hazard ratio of 1.58 and a confidence interval of 1.25 to 2.00, a highly significant association. Interleukin-17, a signature cytokine of the Th17 immune pathway, told a similar story: higher baseline levels corresponded to a 46 percent increase in risk, with a hazard ratio of 1.46. Eosinophil counts, a marker of innate immune and allergic-type activity, were also linked to worse outcomes, with each standard-deviation increase raising the risk by 33 percent.</p>
<p>Not all immune signals pointed in the same direction. Interleukin-10, an anti-inflammatory cytokine that helps restrain immune responses, was inversely associated with disease progression, with a hazard ratio of 0.79, meaning higher levels appeared protective. This finding aligns with a growing body of evidence that regulatory immune activity, including interleukin-10 production by blood B cells, correlates with a more favorable course in alopecia areata. Taken together, the data suggest that the balance between pro-inflammatory drivers such as interferon-gamma and interleukin-17 on one side, and anti-inflammatory regulators such as interleukin-10 on the other, may encode critical information about the future behavior of the disease in an individual patient.</p>
<p>Perhaps the most compelling findings came from the longitudinal analysis. The researchers observed that interferon-gamma and interleukin-17 levels rose over time in patients who went on to progress or relapse, while the same cytokines declined in those who remained stable. The group-by-time interactions were statistically significant, indicating that the divergent trajectories were unlikely to be chance findings. This dynamic pattern suggests that peripheral blood does not merely reflect a static snapshot of immune activity but tracks the evolving immunological battle occurring around the hair follicles, offering clinicians a potential window into disease activity before clinical hair loss becomes visible.</p>
<p>To translate these biological signals into clinical utility, the team built predictive models and evaluated them with rigorous statistical methods, including time-dependent area under the curve, Harrell&#8217;s C-index, calibration plots, and bootstrap validation. A clinical model based on standard patient characteristics alone achieved a 24-month AUC of 0.75, indicating moderate discrimination. When baseline interferon-gamma and interleukin-17 were added, the AUC rose significantly to 0.84, a statistically meaningful improvement with a p-value of 0.004. The combined model achieved an optimism-corrected C-index of 0.81 and showed acceptable calibration, meaning its predicted risks aligned reasonably well with observed outcomes across the cohort.</p>
<p>The mechanistic backdrop for these findings is well established. Alopecia areata has long been understood as a T-cell-mediated autoimmune disease in which the collapse of immune privilege around the hair follicle allows cytotoxic CD8-positive T cells and helper T cells to attack the follicle. Interferon-gamma, the hallmark cytokine of Th1 immunity, is considered a central driver of this attack, promoting chemokine signaling that recruits more immune cells into the follicle. Preclinical work in the C3H/HeJ mouse model has shown the functional relevance of interferon-gamma, and recent studies have demonstrated that Th1 effector CD4 T cells rely on interferon-gamma production to induce alopecia areata. Interleukin-17 and the broader IL-23 axis have also been implicated in lesional inflammation, although their precise role has been debated.</p>
<p>What sets the new study apart is its longitudinal design. Much of the existing evidence on peripheral immune profiles in alopecia areata comes from cross-sectional studies, which can show that patients with severe disease have different cytokine levels but cannot establish whether those differences precede and predict worsening. By measuring immune markers at baseline and following patients forward in time, the Beijing team directly addressed the question that matters most clinically: can blood immune profiles identify patients at risk before the disease progresses? Their affirmative answer, supported by rigorous survival analysis and model validation, moves the field closer to prognostic rather than merely descriptive immunology.</p>
<p>The clinical implications are considerable. JAK inhibitors such as tofacitinib and baricitinib have revolutionized alopecia areata treatment by damping interferon-gamma and related cytokine signaling, but treatment decisions are currently made largely on disease extent and duration rather than biological risk. If validated, a biomarker panel combining interferon-gamma, interleukin-17, eosinophil counts, and interleukin-10 could help clinicians identify high-risk patients early, justify more aggressive or earlier intervention, tailor monitoring frequency, and stratify patients in clinical trials. The finding that interleukin-17 adds prognostic value may also renew interest in IL-17-targeted therapies, which have shown mixed results in alopecia areata to date but could theoretically benefit the subset of patients with a strong Th17 signature.</p>
<p>The authors are appropriately cautious, noting that external validation in independent cohorts is required before such models enter routine practice. Questions remain about how these peripheral markers relate to intracellular and lesional immune activity, whether the findings generalize across ancestries, ages, and disease severities, and whether serial cytokine measurements could guide treatment response monitoring as well as prognosis. Nevertheless, this prospective cohort study represents a significant step toward personalized medicine in a disease that has long defied prediction. For the millions of people living with the unpredictable course of alopecia areata, the prospect that a routine blood draw could reveal what the future holds, and allow clinicians to act on that knowledge before hair is lost, marks an encouraging advance at the intersection of immunology, dermatology, and predictive analytics.</p>
<p><strong>Subject of Research:</strong> Peripheral immune profiles as prognostic biomarkers for disease progression in alopecia areata</p>
<p><strong>Article Title:</strong> Longitudinal cohort study on peripheral immune profiles and risk of disease progression in alopecia areata</p>
<p><strong>Article References:</strong> Jia, Y., Chen, W., Zhao, Y., Long, Y., &amp; Tian, Y. (2026). Longitudinal cohort study on peripheral immune profiles and risk of disease progression in alopecia areata. <em>Archives of Dermatological Research, 318</em>(1), Article 411. <a href="https://doi.org/10.1007/s00403-026-04865-4" rel="noopener noreferrer">https://doi.org/10.1007/s00403-026-04865-4</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s00403-026-04865-4" rel="noopener noreferrer">10.1007/s00403-026-04865-4</a></p>
<p><strong>Keywords:</strong> alopecia areata, IFN-γ, IL-17, IL-10, eosinophils, immune biomarkers, disease progression, relapse, risk prediction, prospective cohort, cytokines, Longitudinal</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">196023</post-id>	</item>
		<item>
		<title>Deforestation Opens New Schistosomiasis Hotspots in Western Uganda</title>
		<link>https://scienmag.com/deforestation-opens-new-schistosomiasis-hotspots-in-western-uganda/</link>
		
		<dc:creator><![CDATA[Kristina Jarvis]]></dc:creator>
		<pubDate>Sat, 29 Aug 2026 00:31:11 +0000</pubDate>
				<category><![CDATA[Climate]]></category>
		<category><![CDATA[Biomphalaria]]></category>
		<category><![CDATA[Bugoma Forest]]></category>
		<category><![CDATA[Bulinus]]></category>
		<category><![CDATA[deforestation]]></category>
		<category><![CDATA[deforestation and freshwater hotspots]]></category>
		<category><![CDATA[disease expansion beyond shoreline communities]]></category>
		<category><![CDATA[ecological impact of forest loss]]></category>
		<category><![CDATA[environmental monitoring for disease prevention]]></category>
		<category><![CDATA[freshwater wetlands and parasite habitat]]></category>
		<category><![CDATA[impact of forest clearance on disease ecology]]></category>
		<category><![CDATA[land use change]]></category>
		<category><![CDATA[land-use change and disease spread]]></category>
		<category><![CDATA[Longitudinal]]></category>
		<category><![CDATA[malacological]]></category>
		<category><![CDATA[monitoring]]></category>
		<category><![CDATA[One Health]]></category>
		<category><![CDATA[parasite lifecycle and snail hosts]]></category>
		<category><![CDATA[satellite analysis of landscape change]]></category>
		<category><![CDATA[Schistosoma cercariae emergence]]></category>
		<category><![CDATA[schistosomiasis]]></category>
		<category><![CDATA[schistosomiasis transmission]]></category>
		<category><![CDATA[snail surveillance]]></category>
		<category><![CDATA[Uganda]]></category>
		<category><![CDATA[zoonotic disease risk in Uganda]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=184209</guid>

					<description><![CDATA[Forest clearance in western Uganda has created warmer freshwater habitats where disease-carrying snails and human schistosomiasis were detected beyond the traditional Lake Albert transmission zone.]]></description>
										<content:encoded><![CDATA[<p>Forest loss in western Uganda has been linked to the emergence of new freshwater hotspots for schistosomiasis, a parasitic disease that can cause chronic illness in people and animals. The finding comes from an 18-month investigation around Bugoma Forest in Kikuube District, where researchers combined repeated surveys of disease-carrying snails, molecular testing of parasites, screening of nearby children and satellite analysis of landscape change. The study suggests that transmission is no longer confined to the familiar shoreline communities of Lake Albert. Instead, it may be expanding into upland areas roughly 15 kilometres away as forest clearance creates warmer, more open wetlands and streams suitable for intermediate host snails. The results offer a detailed example of how land-use change can reshape the geography of an infectious disease. They also show why monitoring the environment, rather than relying only on clinical case data, may provide an early warning of transmission before infections become widely recognized. In this setting, the warning came from snails shedding <i>Schistosoma</i> cercariae, the free-swimming parasite larvae that infect people or other hosts after leaving their aquatic intermediaries.</p>
<p>Schistosomiasis is caused by trematode worms in the genus <i>Schistosoma</i>. The parasites require freshwater snails to complete part of their life cycle. Infected humans or animals release parasite eggs into water, where the eggs hatch and infect compatible snails. The parasites multiply inside the molluscs and eventually emerge as cercariae, which can penetrate human skin during contact with contaminated water. <i>Schistosoma mansoni</i> is associated primarily with intestinal disease, while <i>S. haematobium</i> causes urogenital schistosomiasis. Other species, including <i>S. bovis</i> and <i>S. rodhaini</i>, generally circulate among livestock and wildlife. The distinction matters because cercariae from different species can look alike under a microscope, while their public-health implications differ. In the Ugandan study, researchers therefore used molecular methods to identify parasite DNA rather than relying solely on appearance. Their approach connected ecological observations with human health and animal infection, providing a One Health view of a disease system shaped by people, wildlife, livestock, snails and changing water bodies.</p>
<p>From June 2023 through October 2024, the team visited nine sites every two months, collecting snails during standardized 30-minute sampling periods. Two collectors used long-handled scoops with a 2-millimetre mesh, recording the location and examining the animals in a field laboratory. They identified 2,524 <i>Biomphalaria</i> snails at seven sites and 422 <i>Bulinus forskalii</i> snails at one site. The distribution was strongly associated with the history of forest clearance. Three sites cleared earlier contained 74 percent of all <i>Biomphalaria</i> collected, while more recently encroached sites contained the remaining 26 percent. The abundance of these snails was significantly higher in older cleared areas, with a statistical value of <i>p</i> = 0.002. No snails were found at a forest-edge site that retained tree cover. Across the monitoring period, 0.4 percent of <i>Biomphalaria</i> and 1.9 percent of <i>Bulinus</i> shed schistosome cercariae. The highest monthly shedding rates occurred in December 2023, reaching 3.1 percent among <i>Biomphalaria</i> and 3.7 percent among <i>Bulinus</i>.</p>
<p>The researchers also detected a physical transformation in the water environments where the snails lived. Average water temperature across the monitoring sites was 23.5 degrees Celsius, with a mean conductivity of 235.0 microsiemens and a mean pH of 6.9. Water at sites cleared more than a decade earlier averaged 24.4 degrees Celsius, compared with 22.8 degrees Celsius at recently cleared sites. That difference was statistically significant, with <i>p</i> = 0.0001 and a 95 percent confidence interval of 0.811 to 2.34 degrees. The contrast is consistent with the loss of the forest canopy’s cooling and shading effects. As trees are removed, sunlight reaches shallow water directly, while agricultural activity, settlement and altered drainage can create or enlarge swamps, marshes and pools. These habitats may provide food, shelter and stable conditions for snails that were previously limited by cooler, shaded environments. The study does not claim that deforestation alone caused every infection, but its findings show a close geographic and environmental association between forest conversion, snail colonization and parasite transmission.</p>
<p>Molecular testing revealed an unexpectedly complex parasite community. DNA from cercariae shed by two <i>Biomphalaria pfeifferi</i> snails at one site identified <i>S. rodhaini</i>, a species associated with rodents. Tissue from two other infected snails at the same site identified <i>Biomphalaria sudanica</i> carrying <i>S. mansoni</i>, the human parasite responsible for intestinal schistosomiasis. No coinfections were detected in the examined <i>Biomphalaria</i> snails. At another site, genetic analysis of a cercaria-shedding <i>B. forskalii</i> identified <i>S. bovis</i>, a parasite typically associated with cattle. The analyses used different molecular tools, including polymerase chain reaction, DNA sequencing and high-resolution melting assays. For <i>S. rodhaini</i>, researchers compared partial sequences from mitochondrial <i>cox1</i>, nuclear internal transcribed spacer DNA and 18S ribosomal DNA. These tests are important because species that appear similar during microscopic inspection may follow different transmission routes and pose different risks to humans, livestock or wildlife.</p>
<p>The environmental signal was accompanied by evidence of human infection. In August 2024, health workers and community teams screened school-aged children living within 200 metres of sites where infected snails had been found. Near the site containing <i>S. mansoni</i>-positive snails, 41 children provided stool samples for examination using the Kato-Katz method, which detects and estimates parasite eggs in feces. Twenty-three children tested positive, producing a prevalence of 56.1 percent. Infection intensity ranged from 12 to 900 eggs per gram, with an overall mean of 109 eggs per gram. The children were between six and 14 years old. By contrast, urine screening of 41 children near the site where <i>Bulinus</i> snails carried <i>S. bovis</i> found no evidence of urogenital schistosomiasis. The absence of <i>S. haematobium</i> infection in that small group does not eliminate future risk, particularly if infected people move into the area and introduce parasite eggs into water where compatible snails are present. The study team treated children found to have <i>S. mansoni</i> with praziquantel through local health services.</p>
<p>Satellite imagery helped place these findings in a longer environmental timeline. Comparing land-cover data from 2000 and 2021, the researchers found that central Bugoma Forest had declined by 18.0 percent, while surrounding shrubland had fallen by 57.0 percent. Cropland and grassland expanded as forest was converted for subsistence and commercial agriculture. Field observations recorded settlement growth, sugarcane cultivation, cattle grazing, charcoal production and the cutting of poles for housing. The Kyangwali refugee settlement, which began in a cleared portion of forest in 1967, expanded after 2012 as displaced populations arrived from the Democratic Republic of the Congo and South Sudan. Internal migration and agricultural encroachment also contributed to land conversion. The researchers describe these changes as plausible drivers of new aquatic habitats and increased contact between people, animals and contaminated water. Their satellite analysis used the Global Land Cover 2000 dataset and the ESA WorldCover 2021 product, with the higher-resolution imagery resampled to a common one-kilometre scale before comparison.</p>
<p>The study’s central message is that schistosomiasis surveillance must track ecological change as well as human illness. Detecting infected snails can identify a transmission focus while it is still geographically limited, allowing health teams to investigate nearby communities and consider treatment or other interventions. The authors recommend finer-scale monitoring by Uganda’s Ministry of Health and stronger attention from the National Forestry Authority, particularly as forest loss continues and population movement connects previously separated disease systems. They also emphasize the limits of the evidence. Children were screened only around two villages, and molecular identification was performed on a small number of infected snails, meaning additional parasite species or transmission sites may have been missed. The researchers did not demonstrate every step of transmission from the detected snails to the surrounding population. Even so, the combination of infected intermediate hosts, high local prevalence of intestinal schistosomiasis and substantial landscape change presents a compelling public-health warning. In Bugoma, the disappearance of forest cover is not only altering biodiversity and water temperature; it may also be redrawing the map of a neglected tropical disease.</p>
<p>The study’s repeated sampling is important because both snail abundance and cercarial shedding can vary over time. A single visit might miss infected snails or mistake a temporary absence for a stable pattern. By returning every other month for 18 months, the investigators could compare sites across changing environmental conditions and identify a December 2023 peak in shedding. This does not establish a fixed seasonal cycle, but it demonstrates why surveillance based on occasional collection may underestimate transmission potential.</p>
<p>The findings also distinguish ecological suitability from confirmed human transmission. More <i>Biomphalaria</i> snails were found where forest clearance was greater, and some carried <i>S. mansoni</i>, but snail abundance alone is not a measure of disease risk. Transmission additionally depends on contamination of water with parasite eggs, compatibility between parasite and snail, survival of the parasite in the environment and frequency of human or animal contact with water. The detection of <i>S. bovis</i> and <i>S. rodhaini</i> therefore broadens the surveillance question: the same modified wetlands may support parasite cycles involving people, livestock or wildlife, even when a particular human infection is not detected.</p>
<p>The child survey provides a strong signal but remains a preliminary snapshot. It involved school-aged children living near selected sites and used a limited sample, so the reported prevalence should not be treated as a district-wide estimate. It does, however, justify extending screening and snail investigations beyond the sampled villages, especially along connections among farms, settlements, streams and permanent swamps. Molecular testing of cercariae is likewise valuable for targeting follow-up, because morphology cannot reliably separate several schistosome species. Together, these approaches can help health authorities identify which water bodies require urgent attention and whether control efforts should address human infection, animal reservoirs, environmental exposure or several of these pathways at once.</p>
<p><strong>Subject of Research:</strong> Deforestation-driven expansion of schistosomiasis transmission in Western Uganda</p>
<p><strong>Article Title:</strong> Longitudinal malacological monitoring, with a parasitological survey, reveals new schistosomiasis transmission foci in deforested sites in Western Uganda</p>
<p><strong>Article References:</strong> Oguttu, D. W., Nkolokosa, C., Kiberu, D., Odongo, M., Besigye, F., Juhasz, A., Barungi, W., Huyse, T., Kabatereine, N. B., Tolo, C. U., Elliott, A. M., Webster, B. L., &amp; Stothard, J. R. (2026). Longitudinal malacological monitoring, with a parasitological survey, reveals new schistosomiasis transmission foci in deforested sites in Western Uganda. <em>BMC Environmental Science, 3</em>(1), Article 21. <a href="https://doi.org/10.1186/s44329-026-00061-x" rel="noopener noreferrer">https://doi.org/10.1186/s44329-026-00061-x</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1186/s44329-026-00061-x" rel="noopener noreferrer">10.1186/s44329-026-00061-x</a></p>
<p><strong>Keywords:</strong> schistosomiasis, deforestation, Bugoma Forest, Uganda, Biomphalaria, Bulinus, snail surveillance, One Health, land-use change, Longitudinal, malacological, monitoring</p>
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