Maternal-fetal outcomes in patients with immune-mediated inflammatory diseases, with consideration of comorbidities: a retrospective cohort study in a large U.S. healthcare system

Background

Immune-mediated inflammatory diseases (IMIDs) are likely to complicate maternal health. However, literature on patients with IMIDs undergoing pregnancy is scarce and often overlooks the presence of comorbidities. We aimed to evaluate the impact of IMIDs on adverse pregnancy outcomes after assessing and addressing any discrepancies in the distribution of covariates associated with adverse pregnancy outcomes between patients with and without IMIDs.

Methods

We conducted a retrospective cohort study using data from an integrated U.S. community healthcare system that provides care across Alaska, California, Montana, Oregon, New Mexico, Texas, and Washington. We used a database containing all structured data from electronic health record (EHRs) and analyzed the cohort of pregnant people who had live births from January 1, 2013, through December 31, 2022. We investigated 12 selected IMIDs: psoriasis, inflammatory bowel disease, rheumatoid arthritis, spondyloarthritis, multiple sclerosis, systemic lupus erythematosus, psoriatic arthritis, antiphospholipid syndrome, Sjögren's syndrome, vasculitides, sarcoidosis, and systemic sclerosis. We characterized patients with IMIDs prior to pregnancy (IMIDs group) based on pregnancy/maternal characteristics, comorbidities, and pre-pregnancy/prenatal immunomodulatory medications (IMMs) prescription patterns. We 1:1 propensity score matched the IMIDs cohort with people who had no IMID diagnoses prior to pregnancy (non-IMIDs cohort). Outcome measures were preterm birth (PTB), low birth weight (LBW), small for gestational age (SGA), and caesarean section.

Findings

Our analytic cohort had 365,075 people, of which 5784 were in the IMIDs group and 359,291 were in the non-IMIDs group. The prevalence rate of pregnancy of at least 20 weeks duration in people with a previous IMID diagnosis has doubled in the past ten years. 17% of the IMIDs group had at least one prenatal IMM prescription. Depending on the type of IMM, 48%-70% of the patients taking IMMs before pregnancy continued them throughout pregnancy. Overall, patients with one or more of these 12 IMIDs had increased risk of PTB (Relative risk (RR) = 1.1 [1.0, 1.3]; p = 0.08), LBW (RR = 1.2 [1.0, 1.4]; p = 0.02), SGA (RR = 1.1 [1.0, 1.2]; p = 0.03), and caesarean section (RR = 1.1 [1.1, 1.2], p < 0.0001) compared to a matched cohort of people without IMIDs. When adjusted for comorbidities, patients with rheumatoid arthritis (PTB RR = 1.2, p = 0.5; LBW RR = 1.1, p = 0.6) and/or inflammatory bowel disease (PTB RR = 1.2, p = 0.3; LBW RR = 1.0, p = 0.8) did not have significantly increased risk for PTB and LBW.

Interpretation

For patients who have been pregnant for 20 weeks or greater, the association between IMIDs and adverse pregnancy outcomes depends on both the nature of the IMID and the presence of comorbidities. Because this study was limited to pregnancies resulting in live births, results must be interpreted together with other studies on early pregnancy loss and stillbirth in patient with IMIDs.

Funding

National Institutes of Health.

Copper drives remodeling of metabolic state and progression of clear cell renal cell carcinoma

Copper (Cu) is an essential trace element required for mitochondrial respiration. Late-stage clear cell renal cell carcinoma (ccRCC) accumulates Cu and allocates it to mitochondrial cytochrome c oxidase. We show that Cu drives coordinated metabolic remodeling of bioenergy, biosynthesis and redox homeostasis, promoting tumor growth and progression of ccRCC. Specifically, Cu induces TCA cycle-dependent oxidation of glucose and its utilization for glutathione biosynthesis to protect against H 2 O 2 generated during mitochondrial respiration, therefore coordinating bioenergy production with redox protection. scRNA-seq determined that ccRCC progression involves increased expression of subunits of respiratory complexes, genes in glutathione and Cu metabolism, and NRF2 targets, alongside a decrease in HIF activity, a hallmark of ccRCC. Spatial transcriptomics identified that proliferating cancer cells are embedded in clusters of cells with oxidative metabolism supporting effects of metabolic states on ccRCC progression. Our work establishes novel vulnerabilities with potential for therapeutic interventions in ccRCC. Accumulation of copper is associated with progression and relapse of ccRCC and drives tumor growth.Cu accumulation and allocation to cytochrome c oxidase (CuCOX) remodels metabolism coupling energy production and nucleotide biosynthesis with maintenance of redox homeostasis.Cu induces oxidative phosphorylation via alterations in the mitochondrial proteome and lipidome necessary for the formation of the respiratory supercomplexes. Cu stimulates glutathione biosynthesis and glutathione derived specifically from glucose is necessary for survival of Cu Hi cells. Biosynthesis of glucose-derived glutathione requires activity of glutamyl pyruvate transaminase 2, entry of glucose-derived pyruvate to mitochondria via alanine, and the glutamate exporter, SLC25A22. Glutathione derived from glucose maintains redox homeostasis in Cu-treated cells, reducing Cu-H 2 O 2 Fenton-like reaction mediated cell death. Progression of human ccRCC is associated with gene expression signature characterized by induction of ETC/OxPhos/GSH/Cu-related genes and decrease in HIF/glycolytic genes in subpopulations of cancer cells. Enhanced, concordant expression of genes related to ETC/OxPhos, GSH, and Cu characterizes metabolically active subpopulations of ccRCC cells in regions adjacent to proliferative subpopulations of ccRCC cells, implicating oxidative metabolism in supporting tumor growth.

Maternal-fetal outcomes in patients with immune mediated inflammatory diseases, with consideration of comorbidities: a retrospective cohort study in a large U.S. healthcare system

Background

Immune-mediated inflammatory diseases (IMIDs) are likely to complicate maternal health. However, literature data on patients with IMIDs undergoing pregnancy is scarce and often overlooks the impact of comorbidities.

Methods

We investigated 12 selected IMIDs: psoriasis, inflammatory bowel disease, rheumatoid arthritis, spondyloarthritis, multiple sclerosis, systemic lupus erythematosus, psoriatic arthritis, antiphospholipid syndrome, Sjögren's syndrome, vasculitis, sarcoidosis, systemic sclerosis. We characterized patients with IMIDs prior to pregnancy (IMIDs group) based on pregnancy/maternal characteristics, comorbidities, and pre-pregnancy/prenatal immunomodulatory medications (IMMs) prescription patterns. We 1:1 propensity score matched the IMIDs cohort with people who had no IMID diagnoses prior to pregnancy (non-IMIDs cohort). Outcome measures were preterm birth (PTB), low birth weight (LBW), small for gestational age (SGA), and cesarean section.

Findings

The prevalence rate of pregnancy occurring with people with a previous IMID diagnosis has doubled in the past ten years. We identified 5,784 patients with IMIDs. 17% of the IMIDs group had at least one prenatal IMM prescription. Depending on the type of IMM, from 48% to 70% of the patients taking IMMs before pregnancy continued them throughout pregnancy. Patients with IMIDs had similar but slightly increased risks of PTB (Relative risk (RR)=1·1[1·0, 1·3]), LBW (RR=1·2 [1·0,1·4]), SGA (RR=1·1 [1·0,1·2]), and cesarean section (RR=1·1 [1·1,1·2]) compared to a matched cohort of people without IMIDs. Out of the 12 selected IMIDs, three for PTB, one for LBW, two for SGA, and six for cesarean section had results supporting increased risk.

Interpretation

The association between IMIDs and the increased risk of adverse pregnancy outcomes depend on both the nature of the IMID and the presence of comorbidities.

Association of mitochondrial metabolic activity and immune pathways with disease stage in renal cell carcinoma

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Background: Previous large scale genomic studies have described somatic alterations that affect tumor progression. However, metabolic and immune pathway changes that occur with advancing disease stage are not well characterized. Herein, we performed transcriptomic profiling of clear-cell renal carcinoma (ccRCC) tumors across clinical stages to define these changes. Methods: TCGA Firehose Legacy cohort was used to determine differential gene expression between stage 3 ccRCCs from patients who remained disease free (S3DF) vs. those who relapsed (S3RL) within two years of nephrectomy. Single cell RNA-seq (scRNAseq) analysis was performed on primary ccRCCs from nine patients (stage 1 n=4, stage 3 n=4, metastatic n=1). Seurat V4 package and module score was used to analyze patterns of gene expression associated with tumor progression at the single cell level. Results: Transcriptomic comparison of ccRCCs from TCGA Firehose Legacy cohort revealed induction of genes encoding mitochondrial respiratory complexes and mitochondrial ribosomal proteins (MRPs) and decrease in expression of immune genes in S3RL as compared to S3DF tumors. Using a set of 23 differentially regulated mitochondrial and immune genes we established a transcriptomic signature that stratified patients into those at risk of relapse vs. not. ScRNA-seq data analysis determined increased expression of mitochondrial respiratory complexes’ gene-sets, and decreased levels of glycolytic genes and HIF targets during tumor progression from stage-I to metastatic. This was supported by spatial transcriptomics of cancer cells, which revealed clusters of cells with high mitochondrial activity and decreased MHC class I and II gene expression. Conclusions: The data support a model of progressive metabolic reprogramming from glycolysis and HIF-regulated pathways to mitochondrial respiration in parallel with diminished immune expression of antigens on cancer cells with advancing disease stage in ccRCC. Identification of targetable mitochondrial vulnerability could be a therapeutic option in patients who progress on immune checkpoint inhibitors.

Complimentary transcriptomic-metallomic analysis identifies risk of relapse for clear-cell renal cell carcinoma (ccRCC) patients

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Background: Patients with localized or locally advanced ccRCC undergo surgical resection by partial or radical nephrectomy. Approximately 50% of tumors recur within five years after surgery. Currently the only FDA approved drug in the adjuvant setting is sunitinib. However, the absence of an overall survival benefit and the prevalence of side effects limit widespread use of sunitinib. Accurate identification of patients at high risk of recurrence would enhance targeted adjuvant therapy, while sparing low-risk patients from side effects. A single scoring system, transcriptomic signature or genomic classifier, is unlikely to accurately define prognosis. Here, we describe an integrated transcriptomic-metallomic classifier to assess the risk of relapse in localized ccRCC. Methods: We investigated the transcriptomic landscape of Caucasian male patients with stage III ccRCCs who remained disease free (S3DF) or relapsed (S3RL) within 24 months after surgery using the TCGA Firehose Legacy cohort. In a separate cohort of S3RL and S3DF ccRCCs, copper (Cu) content and molecular distribution were analyzed by size exclusion chromatography coupled to inductively coupled plasma mass spectrometry (SEC-ICP-MS). Results: Transcriptomic analysis identified that S3RL tumors were enriched for genes encoding subunits of mitochondrial electron transport chain (ETC) and mitochondrial ribosomal proteins (MRPs), an indication that mitochondrial activity may contribute to the relapse. In contrast, S3DF tumors were enrichedfor genes related to immune responses, including genes encoding members ofMHC-II, suggesting tumor control by the immune system. We established a setof 23 genes (23G) as a signature that stratified ccRCCsinto distinct groups characterized by low, intermediateand high risk of relapse after surgery. Importantly, SEC-ICP-MS analysis identified augmented distribution of Cu to the Cu cytochrome c oxidase complex (Cu-COX) in tumor mitochondria from S3RL, consistent with the prediction of increased ETC activity in the transcriptomic analysis. Conclusions: Integration of the 23G transcriptomic signature and Cu-COX complex measurements in locoregional ccRCC can serve as a prognostic biomarker for recurrence, and as a predictive classifier for novel treatments, including inhibitors of ETC for the S3RL tumors. In particular, a combination classifier using both measurements may have a stronger prognostic/predictive power as compared to either biomarker alone.

Molecular and Metabolic Subtypes in Sporadic and Inherited Clear Cell Renal Cell Carcinoma

The promise of personalized medicine is a therapeutic advance where tumor signatures obtained from different omics platforms, such as genomics, transcriptomics, proteomics, and metabolomics, in addition to environmental factors including metals and metalloids, are used to guide the treatments. Clear cell renal carcinoma (ccRCC), the most common type of kidney cancer, can be sporadic (frequently) or genetic (rare), both characterized by loss of the von Hippel-Lindau (VHL) gene that controls hypoxia inducible factors. Recently, several genomic subtypes were identified with different prognoses. Transcriptomics, proteomics, metabolomics and metallomic data converge on altered metabolism as the principal feature of the disease. However, in view of multiple biochemical alterations and high level of tumor heterogeneity, identification of clearly defined subtypes is necessary for further improvement of treatments. In the future, single-cell combined multi-omics approaches will be the next generation of analyses gaining deeper insights into ccRCC progression and allowing for design of specific signatures, with better prognostic/predictive clinical applications.

Protein kinase C isozyme-specific phosphorylation of profilin

Profilin, a cytoskeletal protein, is emerging as an important link between signal transduction pathways and cytoskeletal dynamics. Profilin is phosphorylated on its C-terminal serine by protein kinase C (PKC). The protein kinase used for the in vitro phosphorylation studies reported earlier was a mixture of isozymes, and therefore, attempts were made to address the isozyme specificity on profilin phosphorylation under in vitro conditions. Profilin was subjected to phosphorylation by PKCalpha, PKCepsilon, and PKCzeta isozymes individually, and it was observed that profilin phosphorylation is cofactor-independent. PKCzeta phosphorylates profilin to a higher extent, but exhibits cofactor dependency with respect to phosphoinositides. The stoichiometry of phosphorylation was measured in the presence of these different isozymes, and a maximum stoichiometry of 0.8 (mole phosphate incorporated/mole profilin) was obtained in the presence of PKCzeta. Phosphorylation of profilin by PKCzeta was maximal in the presence of phosphatidylinositol4,5-bisphosphate (PI4,5-P2) when compared to the other phosphoinositides studied.