Search Results (631)

Salivary adenoid cystic carcinoma (SACC) is an immunologically cold malignancy with limited response to current immunotherapies. Integrated transcriptomic profiling of peripheral blood, primary tumors, lung metastases, and a two-donor single-cell dataset revealed compartment-specific expression signatures and, through computational inference, systemic immune dysregulation marked by hematopoietic suppression, T-cell exhaustion, compensatory myelopoiesis, and an immature B-cell expansion. To explore the transcriptional basis of this peripheral immune aberration, blood-derived RNA-seq was interrogated, identifying only 32 unique genes meeting |log2FC| > 1 and q < 0.05 among 34,999 transcripts; qPCR confirmed concordant upregulation of IL33 and CCL14, providing directional rather than confirmatory support, suggesting peripheral immune molecular aberrations that still require validation through broader differential gene expression validation. Complementing this transcriptomic signature, detection of MYB-NFIB fusion transcripts matching tumor tissue in one patient’s blood suggested that tumor-derived signals may access the circulation, although cohort validation remains necessary. Extending these peripheral observations to tissue compartments, we applied expression stratification, correlation networks, ligand-receptor mapping, and a virtual gain-loss model to computationally predict regulatory associations involving IL17RB/OLIG1/NOTCH1 in primary tumors and a CD24/IL17RB/MYB/MYBL2/CXCL13/CXCR5 module in lung metastases. At the single-cell level, cluster 10 emerged as a cell-cycle-high tumor population with transcriptional overlap with proliferating immune progenitors, providing a potential cellular basis for tumor cell entry into the circulation. Collectively, these computational inferences generate testable hypotheses for multicompartment immune dysregulation in SACC, positioning IL17RB as a candidate molecule that warrants prospective validation in SACC-specific preclinical models. Full article

Despite extensive research, the complex relationship between cellular senescence, aging, and host–pathogen interactions remains incompletely understood. This paper aims to review cellular and molecular alterations of senescent cells and critically examine the role of bacterial infections as key drivers in immunosenescence. Molecular mechanisms underlying pathogen-induced stress responses and the subsequent impact on host tissues and immune function are also highlighted. The novelty of this work lies in integrating current knowledge into direct and indirect mechanisms by which bacterial pathogens induce senescence, including genotoxic effects, oxidative stress, and disruption of host signaling pathways. Particular emphasis is placed on how bacterial virulence factors modulate critical pathways such as p53–p21, p16^INK4a–Rb, NF-κB, mTOR, and cGAS–STING, thereby promoting a pro-inflammatory senescence-associated secretory phenotype (SASP) and facilitating chronic infection and tissue damage. By linking microbial activity with cellular aging processes, this work offers a novel perspective on the contribution of infections to premature aging and age-related diseases and highlights potential therapeutic targets for modulating senescence and improving host resilience. Full article

Pine wilt disease (PWD), caused by the pine wood nematode Bursaphelenchus xylophilus, is one of the most devastating forest diseases in Asia and Europe. In addition to causing rapid pine mortality, it can alter soil nutrient status and soil nitrogen transformation processes. At the same time, nitrogen (N) deposition is an important external nitrogen input to forest ecosystems and may further influence rhizosphere nitrogen dynamics under B. xylophilus infection; however, its effects on N forms and microbial community characteristics in the rhizosphere soil of infected pine trees remain poorly studied. Therefore, this study aimed to investigate the effects of simulated N deposition on PWD, rhizosphere soil chemical properties, and rhizosphere microbial community characteristics under B. xylophilus infection, by inoculating 4-year-old Pinus thunbergii seedlings with ddH₂O (CK) and B. xylophilus (BX). For each inoculation condition, two simulated N deposition levels (N1: 50 mg N kg⁻¹ dry soil; N2: 100 mg N kg⁻¹ dry soil) and one control without N deposition (N0) were established. Generally, simulated N deposition significantly prolonged disease progression in B. xylophilus-infected pines, with mean times of 32, 43, and 46 days for BXN0, BXN1, and BXN2, respectively, and rhizosphere NO₃⁻–N and NH₄⁺–N contents were significantly higher in N1 and N2 for both the CK and BX groups. Under the same N deposition, BX treatment significantly enhanced the accumulation of NO₃⁻–N but had a limited effect on NH₄⁺–N. The microbial community analysis indicated that Ascomycota, Mortierellomycota, and Basidiomycota were the dominant fungal phyla across all experimental groups, while the Talaromyces, Apiotrichum, and Aspergillus genera showed significant abundance changes between the CK and BX groups. In addition, Actinobacteriota, Proteobacteria, and Acidobacteriota were the top bacterial phyla across all experimental groups, while the genera Nocardioides and RB41 showed changes in relative abundance between the CK and BX groups. These findings suggest that short-term nitrogen deposition can influence the PWD process and modulate rhizosphere nitrogen dynamics and microbial community structure. Full article

Background/Objectives: Metabolic dysfunction-associated alcoholic liver disease (MetALD) is a serious worldwide health concern, exhibiting metabolic dysfunction-associated lipid accumulation, alcohol-associated oxidative damage, and endotoxin-induced inflammation. Rb1-enriched red ginseng saponin fraction (RGSF) has been known to exhibit anti-inflammatory and anti-oxidative properties, but its role in MetALD remains to be fully elucidated. This study aims to investigate the specific mechanism of RGSF in the MetALD mouse model. Methods: The MetALD mouse model was administered with or without Rb1-RGSF for 7 weeks. Histopathological and molecular analyses, along with primary cell isolation, were conducted for in vivo and ex vivo investigations. M1 macrophage polarization was assessed by analyzing pro-inflammatory cytokine expression. NF-kB/p65 and TLR4 protein expression were measured before being visualized using immunofluorescence assays and confocal microscopy. Results: Histopathological examination revealed that RGSF treatment markedly reduced hepatic steatosis and attenuated inflammatory lesions in MetALD independent of oxidative stress. Notably, RGSF administration suppressed the LPS-induced internalization of surface TLR4. During the early inflammatory phase, RGSF prevented the LPS-mediated loss of the 130 kDa TLR4 form at the cell membrane, thereby limiting the generation of its 110 kDa cytoplasmic form. LPS-binding assay confirmed the direct interactions between TLR4 and RGSF. Conclusions: Collectively, these findings demonstrate that RGSF regulates TLR4 expression and trafficking, leading to the suppression of M1 macrophage polarization by inhibiting LPS–TLR4 surface interactions, thus exhibiting hepatoprotective effects. Full article

Small cell lung cancer (SCLC) has historically been treated as a single, uniformly aggressive disease defined by neuroendocrine differentiation, near-universal loss of TP53 and RB1, and the absence of classical druggable oncogene addictions. Two converging lines of evidence are now reshaping that view. First, transcriptomic profiling has resolved SCLC into molecular subtypes—SCLC-A (ASCL1-driven), SCLC-N (NEUROD1-driven), SCLC-P (POU2F3-driven), and SCLC-I (inflamed)—with distinct immune microenvironments, surface-antigen expression patterns, and emerging therapeutic vulnerabilities, although intratumoral heterogeneity and phenotypic plasticity complicate clean subtype assignment. Second, the development of delta-like ligand 3 (DLL3)-directed therapies provides a natural experiment: the same validated surface antigen failed as an antibody–drug conjugate (rovalpituzumab tesirine, three negative randomized trials) yet succeeded as a bispecific T-cell engager (tarlatamab, which received FDA accelerated approval in 2024 and subsequent traditional FDA approval in 2025 following positive confirmatory phase 3 data). In this review, we integrate the current first-line standard of care—chemoimmunotherapy with atezolizumab- or durvalumab-based regimens followed by maintenance intensification with lurbinectedin–atezolizumab (IMforte)—with the molecular framework of subtypes and biomarkers, and we use DLL3 as a case study to propose that delivery modality is an important determinant of therapeutic success in SCLC and should be considered alongside target biology and tumor heterogeneity. Rapid proliferation, antigen heterogeneity, subtype plasticity, and a relatively less immunogenic microenvironment systematically penalize modalities dependent on payload accumulation and cell-cycle progression and reward modalities that recruit catalytic, cell-cycle-independent cytotoxic effectors. The emerging B7-H3 and SEZ6 programs—including ifinatamab deruxtecan and ABBV-706—are the next test of this framework. We discuss implications for biomarker development, trial design, and the operational challenges of subtype-guided precision oncology in a disease where tissue is scarce and biology shifts under therapy. Full article

Positron range (PR) degrades spatial resolution in positron emission tomography (PET), with its effect being radionuclide- and medium-dependent. Current accurate PR simulators are computationally intensive and cannot be used in clinical time frames. This work presents the Hybrid Monte Carlo (HMC) PR simulator, a GPU-accelerated condensed-history code in CUDA Fortran for 3D annihilation imaging in heterogeneous voxelised geometries derived from CT images and $\mu$-maps. Pre-computed look-up interaction tables (LUTs) covering 24 reference-tissue materials and support for arbitrary ${\beta }^{+}$ emitters up to 3.55 MeV end-point energies (⁶⁸Ga, ⁸²Rb, ¹²⁴I, etc.) allow both GPU and CPU implementations. Maximum speeds reach $4.77·{10}^5$ (Intel i9-14900KF) and $3.32·{10}^8$ (NVIDIA RTX 5080) histories/s, surpassing prior CPU-only PenEasy 2024 by up to 4 orders of magnitude. A fixed step of 0.5 mm was chosen for LUT generation with a uniform $\pm 10\%$ variation each HMC step that allowed reducing aliasing effects. These values are consistent with our previous cross-code benchmark for the isotopes studied. Close agreement with PenEasy 2024 is demonstrated: point-source FWHM and FWTM residuals using ¹⁸F, ⁶⁸Ga, ¹²⁴I and ⁸²Rb are below 0.3 mm at ${10}^7$ histories, and voxelwise $R^2=0.995$, $\mathrm{SSIM}=0.995$ and PSNR $\approx 36.4$ dB are achieved simulating ⁸²Rb uptake from a human-scale [¹⁸F]FDG myocardium acquisition, while decreasing the simulation time from almost 9 h to roughly 1 s using HMC GPU. The resulting annihilation maps enable PET resolution modelling and patient-specific PR correction within clinically practical time frames. Full article

This paper presents a low-power 30/60 GHz dual-band CMOS voltage-controlled oscillator (VCO) for 5G applications. The design employs an LC-VCO core that simultaneously generates differential fundamental-frequency outputs and a single-ended second-harmonic output. To improve second-harmonic spectral purity, a second-harmonic quarter-wavelength (λ/4) transmission line is inserted in the V_DD bias path of the VCO core. A body-to-ground-with-resistor (B-to-GND-with-R_B) NMOS varactor configuration is adopted to provide a wide, monotonic tuning range while suppressing substrate leakage and noise coupling. In addition, a fundamental-frequency λ/4 transmission line is introduced in the control-voltage bias path to improve AC grounding of the differential varactor center node. The VCO consumes 2.19 mW and achieves a tuning range of 24.59–30.5 GHz (21.5%). At 27.48 GHz, it exhibits a phase noise of −117.69 dBc/Hz at a 10 MHz offset, corresponding to a figure of merit (FoM) of 189.72 dBc/Hz. The second-harmonic output covers 49.18–61 GHz, with the same fractional tuning range. The VCO core occupies a compact chip area of only 0.021 mm². Full article

Cytohesin-4 (CYTH4), an ARF guanine nucleotide exchange factor, remains unknown in RCC pathogenesis. We report that CYTH4 was dramatically upregulated in clear cell renal cell carcinoma (ccRCC) and following ccRCC progression. CYTH4 was strongly associated with ccRCC’s immune-suppressive features and stratified ccRCC poor outcome. From CYTH4’s network/NW, a multigene panel, SigCYTH4NW, was derived. In retrospective studies, (1) SigCYTH4NW effectively predicted ccRCC’s inferior prognosis, was strongly associated with the well-validated poor risk ccB signature in four independent ccRCC cohorts (n = 1132), was significantly upregulated in ccB compared to ccA (favorable risk) tumors, was robustly correlated with an immune checkpoint signature (SigIC), and was predominantly expressed in tumor-associated macrophages, and (2) SigCYTH4NW effectively predicted poor prognosis and correlated with SigIC across 21 other cancer types. CYTH4 was expressed at low levels in 786-0 ccRCC cells; its stable expression promoted 786-0 cell proliferation in vitro and xenograft formation in vivo. CYTH4 bound PPP1R9B, which maintains pRb’s hypophosphorylation. 786-0 CYTH4 cells displayed intensive pRb hyperphosphorylation, suggesting that CYTH4 enhances cell proliferation partially by pRb inhibition. Gene expression profiling by RNA-seq revealed a 786-0 CYTH4 network that was relevant to primary ccRCC, particularly in the aspect of immune evasion. Collectively, this study supports CYTH4’s promoting ccRCC. Full article

Copper cobalt sulfide (Cu-CoS₂) nanoparticles (NPs) were synthesized via the co-precipitation method in the present study. The synthesized nanoparticles were employed as photocatalysts for the degradation of two hazardous dyes, Eosin B (EB) and Rhodamine B (RB), under sunlight irradiation. The synthesized nanoparticles were characterized using Energy Dispersive X-ray spectroscopy, Scanning Electron Microscopy, UV-Visible spectroscopy, Fourier Transform Infrared spectroscopy, and X-ray Diffraction analysis. The calculated optical band gap of Cu-CoS₂ was 2.06 eV, while the point of zero charge (PZC) was determined to be 7. The XRD results confirmed the crystalline nature of the Cu-CoS₂ nanoparticles with an average crystallite size of 28.23 nm. The catalyst exhibited higher photocatalytic degradation efficiency for EB than for RB in single-dye solutions. In contrast, the presence of EB in the binary dye mixture did not significantly influence the degradation of RB. The effects of various operational parameters, including dye concentration, pH, temperature, and catalyst dosage, were systematically investigated. The photocatalytic degradation efficiency of both dyes decreased with increasing initial dye concentration. Optimum degradation conditions for both single and binary dye systems were obtained at dye concentrations of 40:20 μM, pH 5 for EB, pH 9 for RB, and a temperature of 50 °C. The maximum degradation efficiencies achieved in single-dye solutions were 97% for RB and 92% for EB, whereas degradation efficiencies of 98% for RB and 82% for EB were observed in binary dye systems. Furthermore, first-order and second-order kinetic models were applied to evaluate the photodegradation process, and the experimental data showed better agreement with the second-order kinetic model. Full article

Light quality is a pivotal environmental signal governing the morphogenesis and metabolic programming of edible fungi. This study evaluated the effects of eight light qualities—red (R), green (G), blue (B), red-green (RG), red-blue (RB), green-blue (GB), red-green-blue (RGB), and dark control (CK)—on the agronomic traits of Lentinula edodes. Among all treatments, blue light (B) emerged as the most effective regulator, yielding the highest productivity per log (228.12 g), and significantly enhancing pileus diameter (45.17 mm) and stipe thickness (29.45 mm). To elucidate the underlying molecular mechanisms, integrated transcriptomic and metabolomic analyses were performed on primordia and mature fruiting bodies. Transcriptomic profiling identified 4280 differentially expressed genes (DEGs) under blue light, which were significantly enriched in energy metabolism and structural development pathways. Metabolomic analysis revealed 45 differentially expressed metabolites (DEMs), highlighting a 7.64-fold upregulation of 9(S)-HPODE and a marked downregulation of L-arginine at the harvest stage under blue light. Multi-omics integration demonstrated that blue light orchestrates a strategic metabolic shift: it activates arginine and proline metabolism during the primordial stage, maintains linoleic acid metabolism throughout development, and triggers alanine, aspartate, and glutamate metabolism during the transition to maturity. These pathways facilitate the conversion of amino acids into energy precursors and enhance cell membrane fluidity through unsaturated fatty acid synthesis to support rapid growth. Conversely, red light treatment triggered stress-related MAPK signaling, delayed primordium formation, and redirected resources toward stipe elongation via phenylalanine accumulation, resulting in significantly lower yields. In conclusion, this study confirms that blue light is the optimal condition for L. edodes cultivation, providing a robust molecular foundation for precision light-regulation strategies to maximize yield and quality in commercial production. Full article

Background/Objectives: IL23R encodes a pivotal component of the IL-23/Th17 signaling axis and represents a validated genetic susceptibility locus for inflammatory bowel disease (IBD), psoriasis, and ankylosing spondylitis. Despite extensive GWAS data, the functional consequences of the full spectrum of IL23R missense single-nucleotide variants (SNVs) have not been systematically characterized. This study aimed to identify high-risk missense SNVs through a multi-tool in silico pipeline. Methods: A total of 723 missense SNVs from NCBI dbSNP were verified against transcript NM_144701.3/Q5VWK5-1 (629 aa) using Ensembl VEP (GRCh38). Sequential filtering was performed using applied SIFT, PolyPhen-2, PROVEAN, E-SNPs&GO, MutPred2, and ConSurf (grade ≥ 7); AlphaMissense and FATHMM-MKL were used as independent annotation layers. Protein stability was assessed with MuPro and DynaMut2 (AlphaFold2 AF-Q5VWK5-F1-v6; pLDDT = 68.19); structural characterization was performed with Project HOPE, and interaction networks were constructed using STRING and GeneMANIA. Results: Sequential filtering identified 37 high-risk missense variants. MuPro predicted destabilizing effects for 36/37 variants, with concordant DynaMut2 results for 35/37. Project HOPE identified disulfide bond disruption in 11 variants, charge-altering substitutions in 8, and glycine/proline backbone conformational changes in 11. STRING analysis identified IL12RB1 (0.999), IL23A (0.999), JAK2 (0.995), IL12B (0.986), and STAT3 (0.980) as the leading IL23R interactors. The protective variant R381Q was appropriately characterized as neutral by PROVEAN (−1.16) and AlphaMissense (likely_benign), supporting the specificity of the pipeline. Conclusions: Comprehensive in silico analysis identified 37 high-risk IL23R missense candidates with convergent computational evidence of predicted deleteriousness, predominantly involving cysteine bridge disruption, charge alteration, and glycine/proline backbone conformational changes. These variants are presented as prioritized candidates for future functional validation and may inform subsequent investigations of IBD susceptibility and IL-23 pathway pharmacogenomics. Full article

Honey is a natural food product which in traditional production represents a clear example of the “farm-to-table” principle, as it excludes any processing of the original product. This study proposes an analytical approach for determining 30 most frequently determined chemical elements (Ag, Al, As, B, Ba, Bi, Ca, Cd, Co, Cr, Cs, Cu, Ga, In, Fe, K, Li, Mg, Mn, Na, Ni, P, Pb, Rb, S, Se, Sr, Te, V, and Zn) in honey, emphasizing the use of a relatively large sample mass to overcome sample heterogeneity and ensure accurate and reliable results. About 31 linden and 16 rapeseed honey samples from different Bulgarian regions were analyzed. Pollen analysis data showed that pollen content ranged from 30 to 78% for linden and 30 to 93% for rapeseed honey. The results identify a group of elements—K, Ca, Mg, Sr, and Rb—whose concentrations show statistically significant dependence on the floral origin and purity of the honey. Based on these findings, these elements are proposed as potential markers for identifying the botanical origin of honey. Furthermore, macronutrients and micronutrients (P, S, B, Cu, Fe, Mn, and Zn), which are generally subject to homeostatic regulation, as well as micro-elements (Al, As, Cd, Co, Cr, and Pb), which are more strongly influenced by environmental factors, showed limited discriminatory potential and no clear correlation with floral purity and botanical origin. Therefore, they should not be used as criteria when assessing the botanical origin of honey, but rather as indicators of environmental pollution and potential quality or safety concerns. Overall, the research contributes to improving the reliability of botanical classification of honey by combining robust analytical methodology with statistically validated elemental markers, while also distinguishing between natural compositional features and contamination-related signals. Full article

Light intensity and spectral composition regulate plant physiological processes and productivity, particularly under low-light greenhouse conditions. This study was designed to address two main objectives in aeroponically grown potato (Solanum tuberosum L. cv. Agria). First, we evaluated the effects of supplemental light quality, focusing on different red (R), blue (B), and white (W) combinations at a constant intensity of 100 μmol m⁻² s⁻¹. Second, we assessed the specific effects of far-red (FR) light on plant performance and biomass allocation patterns. Potato plants were grown under greenhouse conditions in a completely randomized design consisting of eight supplemental LED spectral treatments and a natural-light control. Supplemental lighting increased net photosynthesis, stomatal conductance, chlorophyll content, and biomass compared to the control, demonstrating that moderate increases in light intensity improved plant performance under low-light conditions. Among the spectral treatments, W light and balanced R–B combinations increased net photosynthetic rate by 93.7–198.7% and total biomass by 23.8–132.1% relative to the control, suggesting improved coordination of stomatal activity, electron transport, and chlorophyll biosynthesis under the experimental light environment. In contrast, FR inclusion reduced the net photosynthetic rate and mini-tuber biomass by 15.0–38.6% relative to the corresponding FR-free treatments, particularly under treatments with lower red proportions, suggesting that FR effects are more likely associated with phytochrome-mediated regulation of photosynthetic efficiency and assimilate partitioning under modified red to far-red spectral balance rather than classical shade-avoidance responses. Mini-tuber yield was strongly affected by light treatments. White light and balanced R:B spectra produced the highest tuber number and biomass, increasing mini-tuber number and biomass by 26.6–62.5% and 15.4–87.7%, respectively, compared with the control, whereas FR reduced yield. Although FR appeared to increase the relative allocation of biomass to tubers, overall photosynthetic performance and biomass accumulation remained lower, resulting in lower productivity. Overall, mini-tuber production appeared to be associated with source–sink relationships, where light intensity enhanced photosynthetic performance and biomass production, light quality optimized photosynthetic performance, and FR light appeared to modify biomass allocation patterns. These findings highlight the importance of optimizing spectral composition and FR management in aeroponic seed potato production under low-light greenhouse conditions. Full article

Insulin-like growth factor 1 (IGF-1) signaling plays a complementary role to insulin signaling in glucose metabolism homeostasis. This study characterized the physiological roles of the IGF1 receptor A (Igf1ra) and B (Igf1rb) in zebrafish. The transcripts of igf1ra and igf1rb were detected in multiple zebrafish tissues, including the liver, muscle, and brain. Zebrafish lacking igf1ra or igf1rb were generated using CRISPR/Cas9 technology. Both igf1ra^−/− and igf1rb^−/− zebrafish exhibited stunted growth. Reduced BMI was found in igf1ra^−/− zebrafish, while BMI increased in igf1rb^−/− zebrafish. Hyperglycemia and increased hepatic glycogen were observed in igf1ra^−/− zebrafish, while blood glucose levels in igf1rb^−/− zebrafish were normal. No significant difference in whole-body or hepatic triglyceride content was observed in igf1ra^−/− zebrafish, while the whole-body and hepatic triglyceride content of igf1rb^−/− zebrafish increased compared to their wild-type control siblings. Further analyses of the expression patterns of key genes involved in glucose and lipid metabolism were conducted on igf1r mutants. Decreased levels of genes involved in glucose absorption and glycolysis and increased levels of genes involved in gluconeogenesis and glycogen synthesis were observed in igf1ra^−/− zebrafish, but not in igf1rb^−/− zebrafish. Conversely, significantly decreased levels of transcripts involved in lipolysis and increased levels of transcripts involved in the lipogenesis process were observed in igf1rb^−/− zebrafish, but not in igf1ra^−/− zebrafish. Restricted cell growth and protein synthesis signaling, including AKT and mTOR activation, was also detected in igf1ra^−/− zebrafish, while a moderate elevation in AKT and mTOR activity was seen in igf1rb^−/− zebrafish. Taken together, our results suggest that functional divergence occurred after the duplication of the zebrafish igf1r gene, with igf1ra primarily modulating glucose absorption and utilization, and igf1rb primarily affecting lipid metabolism in the somatotropic axis. Full article

The Rb₂Ca₃(SO₄)₄ compound was obtained by rapid cooling of the stoichiometric melt. The crystal structure was solved and refined using single crystal X-ray diffraction analysis (P2₁/c, a = 9.2847(9), b = 9.4094(6), c = 9.2917(8) Å, β = 114.646(1)°, V = 737.80(12) ų, R₁ = 0.051). The thermal behavior of Rb₂Ca₃(SO₄)₄ was investigated by high-temperature powder X-ray diffraction in the range 25–1000 °C. Thermal decomposition of the Rb₂Ca₃(SO₄)₄ phase occurs at 300 °C, forming Rb₂Ca₂(SO₄)₃ and CaSO₄. The decomposition is complete at 450 °C, and the mixture of Rb₂Ca₂(SO₄)₃ + CaSO₄ persists up to 890 °C. Homogenization of the phases occurs at 900 °C, resulting in the formation of the Rb₂Ca₃(SO₄)₄ compound again at 970 °C. A structural interpretation of this thermal phase transformation is presented, and the relationship between the crystal structures of Rb₂Ca₃(SO₄)₄ and Rb₂Ca₂(SO₄)₃ of the langbeinite structure type is demonstrated. Thermal expansion of Rb₂Ca₃(SO₄)₄ is highly anisotropic: α₁₁ = 23.9(4), α_b = 19.2(3), α₃₃ = 7.7(1), α_β = −1.9(7), α_V = 50.8(9) × 10⁻⁶ °C⁻¹ at 25 °C and α₁₁ = −7(2), α_b = 17(5), α₃₃ = 25(7), α_β = −1.1(1), α_V = 35(9) × 10⁻⁶ °C⁻¹ at 1000 °C. The anisotropy of the thermal expansion is described in comparison with the Rb₂Ca₃(SO₄)₄ crystal structure. The optical band gap for the Rb₂Ca₃(SO₄)₄ compound was determined to be 3.7 eV from absorption spectroscopy data. Full article