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Verma, V.

Publications and source records attributed to Verma, V..

At least 19 recordsLinked to original sources

Genetic Variation in Drosophila melanogaster Aggression

Animals fight for resources to obtain fitness benefits; most contests are intrasexual, and males tend to fight more than females. Although the genetic basis of male aggression is well studied, we know little about the genetic variation of female aggression. Female aggression varies with reproductive status and is potentially influenced not only by her genotype, but also by the genotype of her mate. Here we measured both male and female aggression in a set of Drosophila melanogaster inbred lines by competing each line against a standard competitor. Aggression varied among lines for both sexes, but male and female aggression were not correlated. Female aggression for many lines increased with mating, as expected, but not all lines changed aggression. However, when females were mated to males of different lines, male genotype did not affect the post-mating change in aggression, suggesting that ejaculate-mediated effects do not vary across these lines. The aggression level of the standard opponent was positively correlated with that of focal individuals indicating that individuals modulate their behavior according to the genotype of their opponent.

genetics↗

Multi-centre laboratory study to determine discriminating concentrations for broflanilide and isocycloseram resistance monitoring in mosquitoes

1In 2024-2025 a multi-centre study involving seven international laboratories was conducted with the support of the World Health Organization (WHO). The aim of the study was to establish and validate discriminating concentrations (DCs) in WHO bottle bioassays for monitoring susceptibility to broflanilide and isocycloseram in Anopheles gambiae s.s., An. funestus, An. stephensi and Aedes aegypti. The following values are recommended for adoption as DCs for broflanilide: 10 {micro}g/bottle for An. gambiae and Ae. aegypti, 15 {micro}g/bottle for An. funestus, and 25 {micro}g/bottle for An. stephensi. The recommended DCs for isocycloseram are 15 {micro}g/bottle for Ae. aegypti, 30 {micro}g/bottle for An. gambiae, 50 {micro}g/bottle for An. stephensi, and 60 {micro}g/bottle for An. funestus. Based on the experiences of conducting this study, which represents the application of a generic protocol for establishing discriminating concentrations produced by the WHO, technical recommendations are made on the generation and analysis of DC data for insecticides in future.

zoology↗

Chemical tools to Detect and Inhibit IgA1 Proteases in Haemophilus influenzae

Non-encapsulated ("non-typeable") Haemophilus influenzae is a major cause of mucosal infections such as otitis media, conjunctivitis, and exacerbations of chronic obstructive pulmonary disease. Rising antibiotic resistance has increased interest in anti-virulence strategies that reduce pathogenicity without exerting selective pressure for resistance. A key virulence factor of H. influenzae is immunoglobulin A1 protease (IgA1P), a secreted serine protease that promotes colonization by cleaving human IgA1 at the hinge region and enabling immune evasion. Despite its therapeutic promise, progress has been limited by the lack of chemical tools to probe IgA1P activity in its native biological environment. Here, we report the first activity-based probes that enable direct detection of active IgA1Ps in complex samples and H. influenzae clinical isolates. Competitive activity-based screening using these probes identified novel IgA1P inhibitors, and structure-activity relationship guided optimization yielded a potent lead IgA1P inhibitor. This inhibitor preserves IgA1 at the bacterial surface, demonstrating effective inhibition of IgA1P activity in its native context and chemical disruption of an IgA1P-dependent immune-evasion mechanism. Together, these chemical tools establish a versatile platform for elucidating IgA1Ps role in H. influenzae colonization and virulence, and for validating IgA1Ps as diagnostic markers and antivirulence targets.

microbiology↗

CaMKK2 Identifies Biologically Aggressive Chronic Lymphocytic Leukemia and Regulates Leukemic Survival and Nurse-Like Cell Support

Background/ObjectivesIdentification of prognostic biomarkers that capture biologically aggressive disease remains a major need in chronic lymphocytic leukemia (CLL). Aberrant calcium signaling contributes to leukemic survival; however, the clinical relevance of Ca{superscript 2}/calmodulin-dependent protein kinase kinase 2 (CaMKK2), a calcium-responsive kinase, has not been defined. This study evaluated CaMKK2 as a candidate prognostic biomarker and functional regulator in CLL. MethodsCaMKK2 expression was quantified in purified CD19 CLL cells from a clinically annotated cohort balanced by immunoglobulin heavy chain variable region (IGHV) mutation status. Associations with time-to-treatment and overall survival were analyzed. Functional relevance was assessed by pharmacologic inhibition of CaMKK2 in primary CLL cells using metabolic (MTS) and apoptosis (Annexin V/PI) assays. Correlations between CaMKK2 expression and inhibitor sensitivity were determined. The impact of CaMKK2 inhibition on nurse-like cell (NLC) differentiation and macrophage-mediated leukemic support was evaluated in ex vivo culture systems. ResultsElevated CaMKK2 expression was enriched in IGHV-unmutated CLL and associated with shorter time-to-treatment and inferior overall survival. CaMKK2 inhibition reduced primary CLL viability in a dose-dependent manner and induced apoptosis, with sensitivity correlating with CaMKK2 expression levels. Inhibition also attenuated CD163 macrophage polarization and impaired NLC-mediated support of leukemic cells. ConclusionsCaMKK2 expression identifies biologically aggressive CLL and functionally contributes to leukemic persistence. These findings position CaMKK2 as a prognostically relevant biomarker with therapeutic implications, supporting further evaluation of CaMKK2-targeted strategies in high-risk CLL. Sample SummaryChronic lymphocytic leukemia (CLL) shows marked variability in clinical outcome, highlighting the need for biomarkers that identify patients at higher risk of progression and guide therapeutic strategies. Calcium signaling supports leukemia cell survival, yet the clinical relevance of the calcium-responsive enzyme CaMKK2 has not been established. In this study, we demonstrate that elevated CaMKK2 expression in patient-derived leukemia cells is associated with more aggressive disease and earlier need for treatment. Laboratory experiments further show that inhibiting CaMKK2 reduces leukemia cell survival and disrupts supportive macrophage-like cells within the tumor microenvironment. These results position CaMKK2 as a candidate prognostic biomarker that reflects biologically high-risk disease and may inform therapeutic development. Future studies are warranted to determine whether CaMKK2-based risk stratification or targeted inhibition could improve management of patients with CLL.

immunology↗

Isoflavones impair response to anti-PD1 therapy in murine breast cancer models, irrespective of dietary fiber and fecal short chain fatty acid levels

BackgroundFermentable dietary fibers, also called microbiota-accessible carbohydrates (MAC), and the consequent increase in fecal short-chain fatty acids (SCFAs) are linked to improved responsiveness to immune checkpoint blockade (ICB) therapy in human and mouse studies. However, experimental diets high in MAC also often contain estrogenic isoflavones, which may counter fibers beneficial effects by causing immunosuppression. MethodsWe studied the effects of feeding female C57BL/6Tac mice low-MAC (AIN93G), low-MAC supplemented with isoflavone genistein, high-MAC (5V5M) or high-MAC isoflavone (high-MACi; 5058D) diet on their gut microbiome and response to anti-PD1 therapy against E0771 allografted triple negative breast cancer (TNBC) and 7,12-dimethylbenz[a]anthracene (DMBA)-initiated estrogen receptor positive (ER+) mammary tumors. We also determined whether blocking ER with tamoxifen (TAM) impacted responsiveness to anti-PD1 therapy in mice fed different diets. The effect of diet and treatments on immune cell signaling pathways was investigated using NanoString PanCancer Immune Profiling Panel. ResultsHigh-MAC and high-MACi diets increased fecal microbial alpha-diversity and the abundances of SCFA producing families Lachnospiraceae, and Oscillospiraceae as well as fecal SCFA levels, compared with low-MAC diet. E0771 tumors responded to anti-PD1 in mice fed high-MAC, while mice fed high-MACi did not respond. Low-MAC fed mice with single E0771 allograft also responded to anti-PD1, but genistein supplementation eliminated responsiveness. E0771 tumors in high-MAC fed mice contained elevated levels of exhausted CD8+ T cells, which were decreased after anti-PD1 therapy. Opposite effects were seen in mice fed high-MACi diet. Mice with DMBA-initiated ER+ mammary tumors did not respond to anti-PD1. TAM converted TNBC and ER+ tumors to become sensitive to anti-PD1 therapy in mice fed high-MACi or low-MAC diets, respectively. Genes in TH17 differentiation pathways were linked to TAM-induced improved anti-PD1 response both in TNBC and ER+ mammary tumors. ConclusionsOur results highlight the role of diet in impacting the effectiveness of ICB therapies. We found that increased SCFA levels alone are not predictive of response to anti-PD1, but if tumor expresses ER or if diet contains ER activating compounds, such as isoflavones, blocking ER+ might convert unresponsive tumors responsive to anti-PD1. Word count: 339 What is already known on this topicDietary fiber is proposed to improve response to checkpoint inhibitor therapy against melanoma, but this has been challenged by a recent preclinical study in which different mouse tumor models were used. None of the studies have been done in breast cancer or preclinical breast cancer models. What this study addsOur study showed, using triple negative breast cancer (TNBC) and estrogen receptor positive (ER+) breast cancer models, that indeed high levels of microbiota accessible carbohydrates (MACs) in diet did not alone determine responsiveness to anti-PD1 therapy, but diet high in plant isoflavones/ hormones impaired anti-PD1 effectiveness, regardless of whether diet contained high fiber levels or not. We also found that the adverse effects of isoflavones were counteracted by tamoxifen, partial estrogen receptor antagonist. How this study might affect research, practice or policyOur findings could indicate that breast cancer patients, both those with TNBC and ER+ disease, should not consume diets high in isoflavones when treated with anti-PD1.

cancer biology↗

Model of ocular surface ion and water transport predicts efficacy of dry eye therapeutics targeting epithelial transport and tear fluid dynamics

The composition and volume of tear fluid lining the ocular surface are governed by the rates of lacrimal gland secretion, tear film evaporation, nasolacrimal drainage, and epithelial ion and water transport. Tear fluid hyperosmolality and reduced volume are key drivers of dry eye disease (DED) pathogenesis. We constructed a mathematical model to compute the composition and volume of tear fluid and epithelial cell compartments, with transport parameters specified for the mouse eye from published data and in vivo measurements of ocular surface potential differences. The model accounted for transcellular and paracellular transport across the epithelia under open-circuit conditions utilizing flux equations for individual transport mechanisms, with mass balance constraints on solute and water content in cytoplasm and tear fluid. Under DED conditions established by reduced lacrimal secretion and increased evaporation, the model predicted the efficacy of currently available DED therapies including punctal plugs, humidification goggles, lacrimal gland stimulation, and artificial tears eye drops. The model also predicted the limited efficacy of anti-absorptive and pro-secretory drugs targeting epithelial ion transporters, and the high efficacy of targeting epithelial water permeability or paracellular ion permeability. The modeling herein provided quantitative predictions to prioritize novel targets for DED and drive the development of new therapies. Author SummaryDry eye disease (DED) affects billions of adults worldwide, but a full picture is lacking of how the tear film becomes abnormally thin and hyperosmolar. The computer model built here links four processes - tear production by the lacrimal gland, tear fluid evaporation, tear drainage through tear ducts, and transport of solutes and water across eye surface epithelial cells - to predict the thickness and composition of the tear film in various conditions. Model parameters were selected using published data and electrical measurements of voltage changes across the ocular surface produced by ion transport. The model predicted that existing therapies, such as punctal plugs, moisture goggles, or stimulating tear production, can substantially increase tear thickness or lower saltiness. The model also predicted limited efficacy of drug therapies in current development that target ion transport, and identified epithelial cell water transport and paracellular ion permeability as novel targets for DED treatment. By making ocular surface transport mechanisms explicit and testable, our work offers a roadmap for development of new therapies that restore a healthy tear film, a major unmet medical need.

systems biology↗

Nest Ecology-associated Impacts of Wastewater on Wild Bee Microbiomes

Anthropogenic pollution affects environments differently depending on proximity to pollution source, exposure route, and species ecology. Thus, understanding organisms ecological role and exposure route to contaminants is central to assessing pollution impact. Treated municipal wastewater releases contaminants into waterways and alters microbial communities. Plants absorb contaminants and expose animals through foraging and nest-building activities. Nesting ecology differences of ground vs wood cavity-nesting bees offers insight into niche-specific susceptibility to pollution. Because contaminants bind to soil strongly, ground-nesting bees near wastewater are likely most impacted, while wood cavity-nesting bees likely less impacted since plants ability to uptake contaminants are species dependent. We compared gut microbiomes of directly exposed soil-nesting Halictus ligatus and indirectly exposed wood-nesting Ceratina spp. upstream/downstream of wastewater. We collected bees, flowers, and soil, and analyzed their bacteria microbiomes (16S rRNA). Wastewater altered ground-nesting H. ligatus microbiome >18 times greater than wood cavity-nesting Ceratina adults. Ceratina larvae and pollen provisions showed significant but smaller shifts. Conversely, soil and flower microbiomes remained stable, indicating higher resilience. These results demonstrate that exposure routes drive contaminants susceptibility, with animal-associated microbes most vulnerable. Because bees are important pollinators and biodiversity contributors, these disruptions point to broader ecological risks in increasingly contaminated landscapes. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=118 SRC="FIGDIR/small/675205v1_ufig1.gif" ALT="Figure 1"> View larger version (61K): org.highwire.dtl.DTLVardef@679a58org.highwire.dtl.DTLVardef@1c61700org.highwire.dtl.DTLVardef@101359org.highwire.dtl.DTLVardef@1664987_HPS_FORMAT_FIGEXP M_FIG C_FIG

ecology↗

Gender-specific MetS prediction using pathophysiological determinants: Beyond diagnostic constraints

Metabolic syndrome (MetS), constituted by obesity, hyperglycemia, hypertension, and dyslipidemia, is a growing public health concern due to its associated risk with cardiovascular and other metabolic disorders. Early-stage detection and prevention of MetS are key factors in an effective management strategy. Thus, the current study aimed to develop a risk score for MetS progression based on features pertaining to its pathophysiology, that can facilitate early detection and treatment strategies. A multivariate logistic regression model was developed using a representative feature from MetS pathophysiological pathways of inflammation, endothelial dysfunction, and hepatic dysregulation. The model was built on NHANES dataset and validated in Chinese and Indian datasets. The model performance evaluated using ROC resulted in an AUC of 0.81 in training and 0.87 and 0.79 for Chinese and Indian validation datasets, respectively. In conclusion, a MetS predictive model built on three MetS pathophysiological determinants was developed and validated in distinct datasets. HighlightsO_LIA MetS prediction model, trained on NHANES data, is validated with two datasets of varied ethnicity. C_LIO_LIThe three parameter model, independent of MetS diagnostic criteria, is reflective of inflammation, endothelial dysfunction, and hepatic dysregulation. C_LIO_LIThe model achieved an AUC of 0.81 in NHANES data; 0.87 and 0.79 for Chinese and Indian validation datasets respectively. C_LI

bioinformatics↗

Influence of simplifications on FE modelling of mandible and TMJ implants

End-stage temporomandibular joint (TMJ) disorders often necessitate joint replacement to restore bilateral mastication. Patient-specific TMJ implants typically rely on detailed in silico modelling derived from subject-specific computed tomography (CT) scans of the mandible. However, generating highly detailed finite element (FE) models is computationally expensive. Although structural simplifications of the mandible are known to influence mechanical behaviour, their quantitative impact on TMJ implant evaluation has not been systematically investigated. This study examines the influence of three modelling simplifications on stress-strain predictions in intact and implanted mandibles: (i) a detailed segmented mandible with tissue-specific material properties (Model 1), (ii) a simplified mandible comprising cortical bone only (Model 2), and (iii) a further simplified mandible excluding dental crowns (Model 3). Both narrow and standard TMJ implants were analysed under osseointegrated and non-osseointegrated conditions, resulting in fifteen FE models. Physiological clenching activities were simulated. Compared with the detailed model, simplified models showed reductions of up to 50% in maximum principal strain in bone and up to 44% in von Mises stress in TMJ implants, while preserving spatial stress-strain trends. These findings indicate that simplified models may be suitable for preliminary implant design, whereas detailed FE modelling remains essential for final pre-clinical evaluation.

bioengineering↗

Biomechanical Evaluation of Temporomandibular Joint Implants Under Complete Mastication Cycle

To ensure the long-term success of temporomandibular joint (TMJ) implants, it is imperative to understand their biomechanical performances. This study aims to compare the biomechanical performance of two stock implants (narrow and standard) under unilateral and bilateral clenching during both osseointegrated and non-osseointegrated conditions. Finite element models of a human mandible were developed from QCT data, with the left TMJ being replaced by the implants. Six clenching tasks were simulated to evaluate stress and strain distributions in the mandible and implants. Ipsilateral clenching produced higher mandibular strains, while contralateral clenching generated larger implant stresses. Furthermore, intercuspal biting was found to have produced the highest strain (1750-1880 {micro}{varepsilon}) and stress ([~]17 MPa) in the mandible. Osseointegration reduced stresses (up to 0.14 MPa) and strains (up to 30 {micro}{varepsilon}) in mandible as well as stresses in mandibular components (up to 48 MPa) and screws (up to 71 MPa). However, during non-osseointegrated conditions, stresses in cortical bone were higher for standard TMJ implant as compared to narrow implant. This suggests possible preference of narrow implant over standard ones.

bioengineering↗

A Way to Understand Dynamics of Infantile Myoclonic Encephalopathy

The goal of this paper is to introduce scientists (especially, paedi-atrics) to the mathematics that may help understand the dynamics of metabolic epilepsies like glycine encephalopathies quantitatively. The methods include the Wilson Cowan Model coupled with an adaptive control system and the neural energy consumption calculations available in the literature. The present study applies the Liu & Ching and Buxton et al. The Liu Sing model, a model for anaesthesia, if optimally parameterized, may prove useful in modelling the Suppression Burst (SB) in Neonatal Myoclonic Encephalopathy (NME).

biophysics↗

What Causes Persistent Neural Activity?

The persistent neural activity at a global scale, either stationary or oscillatory, can be explained by the use of the excitatory-inhibitory neural network models. This state of the network, as can be inferred, is crucial for the information processing and the memorizing ability of the brain. Though the goal for persistence to exist is apparent; from where the network achieves its ability to show a rich variety of the persistent dynamical states is unclear. The following study investigates the possible reasons for the persistence of neuronal networks in two parts; numerically and analytically. Presently, it shows that the action of the inhibitory components, among other favourable factors, plays a key role in starting and stabilizing neural activity. The results strongly support previous research conducted with both simpler and more specialized neural network models, as well as neurophysiological experiments. PACS numbers (2006 scheme)05.40.-a, 05.45.-a, 87.00, 89.00

neuroscience↗

Flap endonuclease Substrate Interactions studied using Dynamic Single-Molecule Atomic Force Microscopy

Flap endonucleases (FENs) recognise and cleave DNA substrates containing a 5-single-strand (ss) of nucleic acid branching off a double-stranded (ds) DNA to yield a nicked duplex during DNA replication. Dynamic Atomic Force Microscopy of an inactive FEN mutant complexed with branched DNA revealed mobilisation of immobilised DNA, indicating that protein interaction affected substrate conformation and disrupted the forces that anchored it to the poly-L-ornithine -treated mica surface. Enzymatically-active FEN was seen intermittently binding DNA, altering its conformation and cleaving the ssDNA branch. We developed a method using motion tracking for quantifying the movement of DNA sections, by visually segmenting DNA and tracking each segment to recognise the DNA sections most affected by the protein. It was found that whilst bound, FEN caused localised DNA bending, and changes in DNA shape were witnessed in the short time span of the proteins appearance close to the nucleic acid, followed by protein adsorption on the mica surface. The results provide the first dynamic observations of FEN-DNA interaction. FEN initially binds to the dsDNA, slides to find the ds/ssDNA junction, and the 5 ssDNA likely threads through a hole in the enzyme which leads to enzymatic hydrolysis of the branched substrate.

biochemistry↗

Human dynein-dynactin is a fast processive motor in living cells

Minus-end directed transport along microtubules in eukaryotes is primarily mediated by cytoplasmic dynein and its cofactor dynactin. Significant advances have been made in recent years characterizing human dynein-dynactin structure and function using in vitro assays, however, there is limited knowledge about the motile properties and functional organization of dynein-dynactin in living human cells. Total internal reflection fluorescence microscopy (TIRFM) of CRISPR-engineered human cells is employed here to visualize fluorescently tagged dynein heavy chain (DHC) and p50 with high spatio-temporal resolution. We find that p50 and DHC exhibit indistinguishable motility properties in their velocities, run lengths, and run times. The dynein-dynactin complexes are fast ([~]1.2 m/s) and run for several microns ([~]2.7 m). Quantification of the fluorescence intensities of motile puncta reveals that dynein-dynactin runs are mediated by at least one DHC dimer while the velocity is consistent with that measured for double dynein (two DHC dimers) complexes in vitro.

cell biology↗

A sex-specific homologue of snake waprin is required for embryonic development in the Red Flour Beetle, Tribolium castaneum

1.Waprin, an extracellular secretory protein, is widely known for its antibacterial activity. Through the analysis of sex-specific transcriptomes of adult Tribolium castaneum, we identified a homologue of snake waprin (Tc_WapF) with significantly higher level of its transcripts in females. Developmental- and tissue-specific profiling revealed the widespread expression of Tc_WapF in adult female tissues. Interestingly, Tc_WapF expression is not regulated by the classical sex-determination cascade of T. castaneum, as we fail to get any attenuation in Tc_WapF transcript levels in Tcdsx and Tctra (key players of sex determination cascade of T. castaneum) knockdown females. The eggs laid by Tc_WapF knockdown females never hatched, indicating the involvement of Tc_WapF in the embryonic development in T. castaneum. This is the first report of identification a sex-specific waprin homologue in an insect and its involvement as a novel candidate in the embryonic development. Future investigations on the functional conservation of insect waprins and their mechanistic role in embryonic development can be exploited for improving pest management strategies. Summary statementTribolium castaneum possesses a female-specific homologue of snake Waprin (Tc_WapF) which is essential for its embryonic development. Expression of Tc_WapF is independent of Tribolium sex-determination cascade.

molecular biology↗

SRF-deficient astrocytes provide neuroprotection in mouse models of excitotoxicity and neurodegeneration

Reactive astrogliosis is a common pathological hallmark of central nervous system (CNS) injury, infection, and neurodegeneration, where reactive astrocytes can be protective or detrimental to normal brain functions. Currently, the mechanisms regulating neuroprotective astrocytes and the extent of neuroprotection are poorly understood. Here, we report that conditional deletion of serum response factor (SRF) in adult astrocytes causes reactive-like hypertrophic astrocytes throughout the mouse brain. These SrfGFAP-ERCKO astrocytes do not affect neuron survival, synapse numbers, synaptic plasticity or learning and memory. However, the brains of Srf knockout mice exhibited neuroprotection against kainic-acid induced excitotoxic cell death. Relevant to human neurodegenerative diseases, SrfGFAP-ERCKO astrocytes abrogate nigral dopaminergic neuron death and reduce {beta}-amyloid plaques in mouse models of Parkinsons and Alzheimers disease, respectively. Taken together, these findings establish SRF as a key molecular switch for the generation of reactive astrocytes with neuroprotective functions that attenuate neuronal injury in the setting of neurodegenerative diseases.

neuroscience↗

An intrinsically disordered kinetochore protein coordinates mechanical regulation of chromosome segregation by dynein

Kinetochores connect chromosomes and spindle microtubules to maintain genomic integrity through cell division. Crosstalk between the minus-end directed motor dynein and kinetochore-microtubule attachment factors promotes accurate chromosome segregation through a poorly understood pathway. Here we identify a physical linkage between the intrinsically disordered protein Spc105 (KNL1 orthologue) and dynein using an optogenetic oligomerization assay. Core pools of the checkpoint protein BubR1 and the adaptor complex RZZ mediate the connection of Spc105 to dynein. Furthermore, a minimal segment of Spc105 that contains regions with a propensity to multimerize and binding motifs for Bub1 and BubR1 is sufficient to functionally link Spc105 to RZZ and dynein. Deletion of the minimal region from Spc105 reduces recruitment of its binding partners to bioriented kinetochores and causes chromosome mis-segregation. Restoration of normal chromosome segregation and localization of BubR1 and RZZ requires both protein binding motifs and higher-order oligomerization of Spc105. Together, our results reveal that higher-order multimerization of Spc105 is required to recruit a core pool of RZZ that modulates microtubule attachment stability to promote accurate chromosome segregation.

cell biology↗

Fibromyalgia patients with high levels of anti-satellite glia cell IgG antibodies present with more severe symptoms

ObjectiveTransferring fibromyalgia patient IgG to mice induces pain-like behaviour and fibromyalgia IgG binds mouse and human satellite glia cells (SGCs). These findings suggest that autoantibodies could be part of fibromyalgia pathology. However, it is unknown how frequently fibromyalgia patients have anti-SGC antibodies and how anti-SGC antibodies associate with disease severity. MethodsWe quantified serum or plasma anti-SGC IgG levels in two fibromyalgia cohorts from Sweden and Canada using an indirect immunofluorescence murine cell culture assay. Fibromyalgia serum IgG binding to human SGCs in human dorsal root ganglia tissue sections was assessed by immunofluorescence (n=14/group). ResultsIn the cell culture assay anti-SGC IgG levels were increased in both fibromyalgia cohorts compared to controls. Elevated anti-SGC IgG was associated with higher levels of self-reported pain in both cohorts, and higher fibromyalgia impact questionnaire scores and increased pressure sensitivity in the Swedish cohort. Anti-SGC IgG levels were not associated with fibromyalgia duration. Swedish FM patients were clustered into FM-severe and FM-mild groups and the FM-severe group had elevated anti-SGC IgG compared to the FM-mild and controls. Anti-SGC IgG levels detected in culture were positively correlated with increased binding to human SGCs. Moreover, the FM-severe group had elevated IgG binding to human SGCs compared to the FM-mild and control groups. ConclusionsA subset of fibromyalgia patients have elevated levels of anti-SGC antibodies, and the antibodies are associated with more severe fibromyalgia severity. Screening fibromyalgia patients for anti-SGC antibodies could provide a path to personalized treatment options that target autoantibodies and autoantibody production.

neuroscience↗