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Stauroneis (Naviculales, Bacillariaceae) are widespread, mostly in fresh-water habitats, and account for 343 species. They are described mainly on the basis of morphology and morphometric traits. These characteristics vary during life cycles and may overlap between species, making their identification difficult. We isolated two strains of naviculoid diatoms and examined them using an integrative approach (phylogenetic, morphological, ultrastructural data, and life cycle). Phylogenetic analyses based on chloroplast rbcL gene data showed affinity of the new strains to the genus Stauroneis. Our algae share morphological features typical of Stauroneis but differ from similar species in minimal valve length measurements, valve apex shape, and minimal number of striae in 10 µm. Two strains are distinct from each other in maximal valve length and width, partially valve shape, the number of areolae in 10 µm, and cingulum structure. It was revealed that the strains reproduce via isogamy. Three species delimitation methods (ASAP, PTP, and GMYC) also confirmed that the two closely related new strains represent distinct species. Based on molecular data and phenotypic traits examined within the framework of an integrative approach, we describe two new isolates as Stauroneis urbani sp. nov. and Stauroneis edaphica sp. nov.
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Exposure to drugs during pregnancy can result in neonatal abstinence syndrome (NAS), low birth weight, attention-deficit/hyperactivity disorder (ADHD), and behavioral issues, particularly during the school-age years. Recent research has expanded our understanding of the consequences of fentanyl exposure during pregnancy beyond the more commonly recognized effects, including respiratory complications, neurodevelopmental effects, increased risk of substance use disorders, gastrointestinal complications, cardiovascular effects, epigenetic changes, behavioral and emotional regulation disruptions, and long-term cognitive impairments. We present the case of a five-year-old female placed in foster care with a past medical history of asthma and a past psychiatric history of ADHD, oppositional defiant disorder (ODD), and disinhibited social engagement disorder. Her mother has a long history of substance use during pregnancy. From our interaction with the patient presented, we see that prenatal exposure to substances such as fentanyl and the disruption of attachment figures can have profound and lasting effects on a child's life, encompassing behavioral and cognitive aspects.
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Rice (Oryza sativa), as a staple crop feeding a significant portion of the global population, particularly in Asian countries, faces constant threats from various diseases jeopardizing global food security. A precise understanding of disease resistance mechanisms is crucial for developing resilient rice varieties. Traditional genetic mapping methods, such as QTL mapping, provide valuable insights into the genetic basis of diseases. However, the complex nature of rice diseases demands a holistic approach to gain an accurate knowledge of it. Omics technologies, including genomics, transcriptomics, proteomics, and metabolomics, enable a comprehensive analysis of biological molecules, uncovering intricate molecular interactions within the rice plant. The integration of various mapping techniques using multi-omics data has revolutionized our understanding of rice disease resistance. By overlaying genetic maps with high-throughput omics datasets, researchers can pinpoint specific genes, proteins, or metabolites associated with disease resistance. This integration enhances the precision of disease-related biomarkers with a better understanding of their functional roles in disease resistance. The improvement of rice breeding for disease resistance through this integration represents a significant stride in agricultural science because a better understanding of the molecular intricacies and interactions underlying disease resistance architecture leads to a more precise and efficient development of resilient and productive rice varieties. In this review, we explore how the integration of mapping and omics data can result in a transformative impact on rice breeding for enhancing disease resistance.
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Elevated blood pressure is one of the major risk factors for cardiovascular diseases. Available evidence on mind-body medicine (MBM) techniques on blood pressure is inconclusive and provides conflicting results. The objective of the current systematic review and meta-analysis is to evaluate the effect of MBM techniques on blood pressure in patients with cardiovascular disease. Randomized control trials (RCTs) done between the years 2000 and 2020 on cardiovascular disease, using MBM techniques such as meditation, mindfulness-based stress reduction and relaxation techniques were searched through electronic databases such as PubMed, Cumulative Index to Nursing & Allied Health (CINAHL), EMBASE and Cochrane Library. Three authors independently performed article selection, data extraction and validation. Meta-analysis was performed using a random effect model and standardized mean difference (SMD) with 95% confidence interval (CI) estimated for the effect size. Fifteen RCTs with 927 patients were included in the meta-analysis. Heterogeneity among the studies was very high for all analyses (I2>94%). For studies comparing systolic blood pressure, MBM interventions show a significant (p=0.01) effect when compared to conventional treatment, an overall estimated effect size of SMD - 0.78 (95% CI: -1.36, -0.20). For studies comparing the diastolic blood pressure, MBM intervention did not show any significant effect when compared to the conventional treatment, an overall effect size of SMD -0.26 (95% CI: -0.91, 0.39). The findings of the meta-analysis suggest that MBM interventions may improve systolic blood pressure alone in patients with cardiac diseases. With high heterogeneity and low quality of the included studies, more robust evidence is required before suggesting MBM as an effective treatment modality for reducing blood pressure in cardiovascular diseases.
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Neuroepithelial tumors known as ependymomas can develop from cortical rests, the central canal of the spinal cord, or the ependymal cells of the cerebral ventricles. Ependymomas may arise anywhere along the neuraxis. Here, we present a 40-year-old male, a known case of grade II ependymomas, with a chief complaint of bilateral lower limb weakness and loss of sensation in the bilateral lower limb for 20 days. He started facing difficulties in performing activities such as walking, toileting activities, and squatting activities. The physiotherapy (PT) rehabilitation of the patient was tailored to achieve functional independence of the patient. The treatment session lasted for six weeks. Several outcome indicators were employed to evaluate our patient's progress toward functional recovery. Outcomes are measured using the Tone Grading Scale (TGS), the American Spinal Injury Association (ASIA) Impairment Scale, the World Health Organization Quality of Life (WHOQOL), manual muscle test, and the Barthel Index. Outcome measures were assessed on day one of treatment and the last day of the PT treatment. The patient's preliminary involvement in PT supported him to prevent serious complications like joint contractures and bed sores. Physical therapy is one of the most important parts of the rehabilitation practice for spinal cord injury (SCI) patients.
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Protein-protein interactions orchestrate plant development and serve as crucial elements for cellular and environmental communication. Understanding these interactions offers a gateway to unravel complex protein networks that will allow a better understanding of nature. Methods for the characterization of protein-protein interactions have been around for a long time, yet the complexity of some of these interactions fuels the development of new techniques that provide a better understanding of the underlying dynamics. In many cases, the application of these techniques is limited by the nature of the available sample. While some methods require an in vivo set up, others solely depend on protein sequences to study protein-protein interactions via an in silico set up. The vast amount of techniques available to date calls for a way to select the appropriate tools for the study of specific interactions. Here, we classify widely spread tools and new emerging techniques for the characterization of protein-protein interactions based on sample requirements while providing insights into the information that they can potentially deliver. We provide a comprehensive overview of commonly used techniques and elaborate on the most recent developments, showcasing their implementation in plant research.
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We live in the age of molecular biology and '-omics', and molecular methods have opened up unimagined possibilities for biological research, including parasitology. However, too one-sided a focus on new approaches can lead to major gaps as less 'cool' topics are neglected. Selected areas of research are briefly discussed to highlight the gaps caused by the current excessive focus on molecular and '-omics' methods. It is crucial to combine both 'classical' and modern methods without neglecting the complexity of the interactions of parasites with their hosts and the environment (One Health concept), which is even more urgent in today's rapidly changing world. Parasitologists should be more involved in field studies and multidisciplinary assessment of parasites.
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Parasitos , Animais , Parasitos/genética , Biologia MolecularRESUMO
Members of the genus Cyprinion (Cypriniformes: Cyprinidae) are found in the Indus River basin west to the Arabian Peninsula and the Tigris-Euphrates River drainages (Persian Gulf basin). The taxonomic status of Cyprinion including Cyprinion muscatense is poorly understood when compared to other cyprinid genera. C. muscatense has been considered as a member of the Cyprinion watsoni-microphthalmum group and a valid species endemic to the Arabian Peninsula. Here, we redescribe C. muscatense based on an integrative morphological and molecular approach and freshly sampled material from several localities in the Oman Mountains ecoregion. The results showed that C. muscatense is distinguished from the other Cyprinion species in the Arabian Peninsula by having a short, thin, and slightly serrated last unbranched dorsal fin ray; the lower number of circumpeduncular scales; lateral line scales; and also scales between the lateral line and the dorsal-fin origin. Subterminal mouth, presence of one pair of small barbels at the mouth corner, 3-4 unbranched and 9½-10½ dorsal-fin branched rays, 12-14 pectoral-fin rays, 7-8 pelvic-fin rays, 2-3 unbranched and 6½-7½ branched anal-fin rays, and 37-40 lateral line scales are other morphological characteristics of C. muscatense. C. muscatense is also well distinguished by molecular characters among its congeners. The first molecular phylogenetic analysis of the genus, covering all currently recognized Cyprinion species except for C. watsoni, is also presented. C. muscatense is resolved as the sister species to another endemic fish of the Arabian Peninsula Cyprinion mhalense, with a Kimura-2-Parameter model distance of 5.3%.
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Cyprinidae , Filogenia , Animais , Cyprinidae/genética , Cyprinidae/classificação , Cyprinidae/anatomia & histologia , Omã , DNA Mitocondrial/genéticaRESUMO
Evolutionary epigenomics and, more generally, evolutionary functional genomics, are emerging fields that study how non-DNA-encoded alterations in gene expression regulation are an important form of plasticity and adaptation. Previous evidence analyzing plants' comparative functional genomics has mostly focused on comparing same assay-matched experiments, missing the power of heterogeneous datasets for conservation inference. To fill this gap, we developed PlantFUN(ctional)CO(nservation) database, which is constituted by several tools and two main resources: interspecies chromatin states and functional genomics conservation scores, presented and analyzed in this work for three well-established plant models (Arabidopsis thaliana, Oryza sativa, and Zea mays). Overall, PlantFUNCO elucidated evolutionary information in terms of cross-species functional agreement. Therefore, providing a new complementary comparative-genomics source for assessing evolutionary studies. To illustrate the potential applications of this database, we replicated two previously published models predicting genetic redundancy in A. thaliana and found that chromatin states are a determinant of paralogs degree of functional divergence. These predictions were validated based on the phenotypes of mitochondrial alternative oxidase knockout mutants under two different stressors. Taking all the above into account, PlantFUNCO aim to leverage data diversity and extrapolate molecular mechanisms findings from different model organisms to determine the extent of functional conservation, thus, deepening our understanding of how plants epigenome and functional noncoding genome have evolved. PlantFUNCO is available at https://rocesv.github.io/PlantFUNCO.
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Arabidopsis , Oryza , Genômica , Arabidopsis/genética , Oryza/genética , Zea mays/genética , Plantas/genética , Cromatina , Evolução Molecular , Genoma de PlantaRESUMO
Breast cancer shows high mortality, especially in women worldwide. This report discusses a case of female patient with a history of Invasive Ductal Carcinoma (IDC) Rt Breast, ER, PR negative, Grade 3 (Gr3) Stage 3 (St3) seen in our OPD treated with supporting herbo-mineral-metallic combination of Ayurveda medicines. Generally, breast cancers of such subtype and that too in Lower Outer Quadrant (LOQ) are always of a concern and can be more troublesome to the patient. When the patient came for the first time, her chief complaint was palpable lump in her right breast for previous three months. We advised her to undergo relevant investigations and, it was found to be malignant. She underwent surgery, Modified Radical Mastectomy,(MRM), followed by chemotherapy. During chemotherapy, which was Adriamycin + Cyclophosphamide (AC) protocol 4 cycles, followed by Docetaxel 4 cycles, every 21 days. After 2 cycles, she started complaints of pain in both calf regions, numbness in fingers of hand and foot, severe generalized skin rash with itching, hyperacidity and constipation. She visited our clinic again for the same, and Ayurveda treatment was started to her at this point. So, at the time of commencement of treatment, the diagnosis was "IDC Rt Breast, LOQ, Gr3 St3, ER, PR negative HER2Neu positive, post op, on chemo". After appropriate analysis based on Ayurvedic and modern parameters, she was diagnosed to have vitiation of Rakta and Pitta (Dushti avastha), due to cyto-toxic nature of (Visha exposure) chemotherapy and medication was planned accordingly, along with chemotherapy protocol. The Ayurveda treatment showed significant relief in the chemotoxicity symptoms, within one month and she could tolerate further chemotherapy cycles very conveniently. On completion of chemotherapy, she was diagnosed to have need of good immunity (Vyadhi-Kshamatva). Based on this diagnosis, Ayurveda treatment protocol was changed and this new regimen continued for almost 6 years afterwards. Laboratory and imaging investigations performed periodically showed marked improvement, and even currently not showing any abnormality. Till date, there is no recurrence and patient is living completely normally for last 11 years. As all the symptoms and investigations showed near complete improvement; it may be concluded that probably add on Ayurveda treatment (Integrative approach) proved effective in this patient of IDC. We have observed 11 years of disease-free survival and excellent quality of life in this patient and still ongoing.
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Soil is a unique ecosystem with peculiar biodiversity that includes cyanobacteria and algae. Traditionally, cyanobacterial and algal cenoses were described mainly using the dominance approach, rarely based on the Braun-Blanquet method (floristic classification). More importantly, in both cases, the species of cyanobacteria and algae in communities were identified using classical methods (light microscopy) only. In this study, we present results of soil algal cenoses classification using the Braun-Blanquet approach based on species composition data obtained via an integrative approach. Characteristic tables include 19 out of 108 samples collected in the Jewish Autonomous Region, Primorsky Territory, and Sakhalin Region (Iturup Island) in 2018 and in 2020-2021. Twenty-five species of algae from four classes were identified in these sites. We described three new associations of algal communities-Coelastrelletum aeroterrestricae ass. nova, Vischerietum magnae ass. nova, Bracteacoccetum bullati ass. nova. PCA analysis corroborated the results of syntaxonomic analysis and revealed that Coelastrelletum aeroterrestricae inhabit soils with a high value of P; Vischerietum magnae inhabit soils with high value of soil organic carbon (SOC), N, and higher humidity; and Bracteacoccetum bullati inhabit soils with high K values.
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Mosquitoes (Diptera: Culicidae) comprise over 3500 global species, primarily in tropical regions, where the females act as disease vectors. Thus, identifying medically significant species is vital. In this context, Wing Geometric Morphometry (WGM) emerges as a precise and accessible method, excelling in species differentiation through mathematical approaches. Computational technologies and Artificial Intelligence (AI) promise to overcome WGM challenges, supporting mosquito identification. AI explores computers' thinking capacity, originating in the 1950s. Machine Learning (ML) arose in the 1980s as a subfield of AI, and deep Learning (DL) characterizes ML's subcategory, featuring hierarchical data processing layers. DL relies on data volume and layer adjustments. Over the past decade, AI demonstrated potential in mosquito identification. Various studies employed optical sensors, and Convolutional Neural Networks (CNNs) for mosquito identification, achieving average accuracy rates between 84 % and 93 %. Furthermore, larval Aedes identification reached accuracy rates of 92 % to 94 % using CNNs. DL models such as ResNet50 and VGG16 achieved up to 95 % accuracy in mosquito identification. Applying CNNs to georeference mosquito photos showed promising results. AI algorithms automated landmark detection in various insects' wings with repeatability rates exceeding 90 %. Companies have developed wing landmark detection algorithms, marking significant advancements in the field. In this review, we discuss how AI and WGM are being combined to identify mosquito species, offering benefits in monitoring and controlling mosquito populations.
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Aedes , Inteligência Artificial , Animais , Feminino , Mosquitos Vetores , Redes Neurais de Computação , Aprendizado de MáquinaRESUMO
Alcohol is one of the most widely used substances. Alcohol use accounts for 5.1% of the global disease burden, contributes substantially to societal and economic costs, and leads to approximately 3 million global deaths yearly. Alcohol use disorder (AUD) includes various drinking behavior patterns that lead to short-term or long-lasting effects on health. Ethanol, the main psychoactive molecule acting in alcoholic beverages, directly impacts the GABAergic system, contributing to GABAergic dysregulations that vary depending on the intensity and duration of alcohol consumption. A small number of interventions have been developed that target the GABAergic system, but there are promising future therapeutic avenues to explore. This review provides an overview of the impact of alcohol on the GABAergic system, the current interventions available for AUD that target the GABAergic system, and the novel interventions being explored that in the future could be included among first-line therapies for the treatment of AUD.
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Alcoolismo , Humanos , Alcoolismo/tratamento farmacológico , Consumo de Bebidas Alcoólicas , Etanol/uso terapêuticoRESUMO
The article commences with a fundamental objective: to comprehend movement skills in sports in a manner that can bridge the dualist gap between experiential qualities observed in practice and theoretical and mechanistic explanations. Drawing inspiration from Kuhn's concept of scientific paradigms, practical examples from skiing research, and innovative insights into the integration of phenomenology and mechanistic explanation in cognitive science, we have outlined a three-step integrative approach. The first step entails the development of phenomenological descriptions of the primary experiential qualities inherent in the execution of the skills being investigated. In the second step, phenomenological descriptions play a pivotal role by setting constraints and delineating a space for the elaboration of multilevel mechanistic analyses. These analyses draw upon insights from various fields, encompassing biomechanics, motor control approaches, expertise studies, and cognitive science. The third step involves the systematization of findings and the formulation of sport-specific movement skills theories. We contend that such theories hold substantial significance as they serve as valuable supplements to skill studies conducted within rigid, nomological frameworks. Sport-specific theories include descriptions of first-person experiential qualities and can contribute to bridging the theory-practice gap effectively.
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The reduction of chemical inputs in wine has become one of the main challenges of the wine industry. One of the alternatives to sulfites developed is bioprotection, which consists in using non-Saccharomyces strains to prevent microbial deviation. However, the impact of substituting sulfites by bioprotection on the final wine remains poorly studied. For the first time, we characterized this impact on Chardonnay wine through an integrative approach. Interestingly, physico-chemical analysis did not reveal any difference between both treatments regarding classical oenological parameters. Nevertheless, bioprotection did not seem to provide as much protection against oxidation as sulfites, as observed through phenolic compound analysis. At a deeper level, untargeted metabolomic analyses revealed substantial changes in wine composition according to must treatment. In particular, the specific footprint of each treatment revealed an impact on nitrogen-containing compounds. This observation could be related to modifications in S. cerevisiae metabolism, in particular amino acid biosynthesis and tryptophan metabolism pathways. Thus, the type of must treatment seemed to impact metabolic fluxes of yeast differently, leading to the production of different compounds. For example, we observed glutathione and melatonin, compounds with antioxidant properties, which were enhanced with sulfites, but not with bioprotection. However, despite substantial modifications in wines regarding their chemical composition, the change in must treatment did not seem to impact the sensory profile of wine. This integrative approach has provided relevant new insights on the impact of sulfite substitution by bioprotection on Chardonnay wines.
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Sulfitos , Vinho , Saccharomyces cerevisiae , Fermentação , Vinho/análise , MetabolômicaRESUMO
This study focuses on the intricate process of discerning productive layers within reservoir formations, taking the Sarvak Formation as a primary case. The employed methodology combines geology, comprehensive log interpretations, and petrophysical analyses to facilitate the evaluation of these productive layers. Initially, routine well logs are interpreted to determine key petrophysical parameters such as shale content, porosity, and water saturation. Subsequently, core measurement results are utilized for calibrating these log interpretations. The study further determines cut-off values through a calculated method of 5% cumulative hydrocarbon volume against porosity, shale content, and water saturation. These cut-off values are then applied to the petrophysical results to enhance their reliability. To resolve any inconsistencies or uncertainties in petrophysical evaluation, petrographical analyses, including scanning electron microscope imaging and thin section studies, are employed. The Sarvak Formation is categorized into seven distinct subzones, each thoroughly investigated to ascertain their respective productivity potential. The final results illustrate a substantial heterogeneity within the Sarvak Formation, revealing a range of diagenetic processes including compaction, dissolution, and cementation. Despite this complexity, three subzones are identified as the most productive layers with the maximum net pay, demonstrating the efficacy of the integrated approach.
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An integrative analysis recovered a new species of the Hemiphyllodactylustypus group from a karst formation in Lung Cu Commune, Dong Van District, Ha Giang Province, northeastern Vietnam. Hemiphyllodactyluslungcuensissp. nov. is embedded within clade 6 of the typus group, bearing an uncorrected pairwise sequence divergence of 4.6-20.2% from all other species based on a 1,038 base pair segment of the mitochondrial NADH dehydrogenase subunit 2 gene (ND2). It is diagnosable from other species in clade 6 by statistically significant mean differences in normalized morphometric, meristic, and categorical characters. A multiple factor analysis using the three aforementioned character types recovered its unique, non-overlapping placement in morphospace as statistically significantly different from that of all other species in clade 6. The description of this new Hemiphyllodactylus species contributes to a growing body of literature underscoring the high degree of herpetological diversity and endemism in karst landscapes in Vietnam as well as in the genus Hemiphyllodactylus.
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A forty-three-year-old male patient was diagnosed with an acute abscess in the dorsum of the right hand. On the 5th day of conventional pharmacological therapy the patient was still suffering, and was referred to the Outpatient department (OPD) to evacuate and drain the abscess and treat the edema around the area with Hijama (wet cupping therapy, WCT). The hand abscess was successfully cured within a week using an integrative approach of wet cupping therapy together with conventional drug therapy.
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Over time multiple lines of research have been integrated as important components of evidence for assessing the ecological quality status of water bodies within the framework of Environmental Risk Assessment (ERA) approaches. One of the most used integrative approaches is the triad which combines, based on the weight-of-evidence, three lines of research, the chemical (to identify what is causing the effect), the ecological (to identify the effects at the ecosystem level) and the ecotoxicological (to ascertain the causes of ecological damage), with the agreement between the different lines of risk evidence increasing the confidence in the management decisions. Although the triad approach has proven greatly strategic in ERA processes, new assessment (and monitoring) integrative and effective tools are most welcome. In this regard, the present study is an appraisal on the boost that passive sampling, by allowing to increase information reliability, can give within each of the triad lines of evidence, for more integrative ERA frameworks. In parallel to this appraisal, examples of works that used passive samplers within the triad are presented providing support for the use of these devices in a complementary form to generate holistic information for ERA and ease the process of decision-making.
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Ecossistema , Poluentes Químicos da Água , Monitoramento Ambiental , Reprodutibilidade dos Testes , Medição de Risco , Ecotoxicologia , Poluentes Químicos da Água/análiseRESUMO
BACKGROUND: Pulmonary mycosis is a fungal infection of the lung. Antifungal treatments are used in conventional treatments; however, incomplete response and toxicity are major challenges of antifungal therapies. In Ayurveda, pulmonary mycosis is diagnosed and treated based on principles of respiratory disorders (referred to as Shvaas Roga) with promising outcomes. CASE PRESENTATION: A > 60-year-old South Indian male patient visited Institute of Ayurveda and Integrative Medicine with complaints of cough, breathlessness, pedal edema, weight loss, uncontrolled diabetes, and anemia. Following chest X-ray, high-resolution computed tomography (HRCT) and bronchoscopy, the patient was diagnosed with a case of pulmonary mucormycosis. The patient had availed conventional allopathic treatment for 3 months including standard antifungal medication for 3 weeks. However, due to unresolved and persistent symptoms, the patient sought Ayurveda treatment. The patient was diagnosed and treated for 6 weeks as a case of Shvaasa Roga, a subcategory of the respiratory disorder according to Ayurveda, and was cured of the infection following an integrative Ayurveda management regime which included internal medicines, panchakarma, necessary poorvakarmas (like abhyanga and swedhana), diet and lifestyle advice, yoga and acupuncture. CONCLUSIONS: The patient was cured of fungal lung infection in 6 weeks using an integrative approach. Primary Ayurveda treatment supported with diet and lifestyle modifications, yoga, and acupuncture helped the patient to recover from illness. The patient is alive and free of disease for more than one year to date.