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Antibiotic use in pregnancy and lactation: what is and is not known about teratogenic and toxic risks.

OBJECTIVE: Over ten million women are either pregnant or lactating in the United States at any time. The risks of medication use for these women are unique. In addition to normal physiologic changes that alter the pharmacokinetics of drugs, there is the concern of possible teratogenic and toxic effects on the developing fetus and newborn. This article reviews the risks and pharmacokinetic considerations for 11 broad-spectrum antibiotics that can be used to treat routine and life-threatening infections during pregnancy and lactation. DATA SOURCES: Information from the U.S. Food and Drug Administration (FDA) product labels, the Teratogen Information Service, REPROTOX, Shepard's Catalog of Teratogenic Agents, Clinical Pharmacology, and the peer-reviewed medical literature was reviewed concerning the use of 11 antibiotics in pregnant and lactating women. The PubMed search engine was used with the search terms "[antibiotic name] and pregnancy," "[antibiotic name] and lactation," and "[antibiotic name] and breastfeeding" from January 1940 to November 2005, as well as standard reference tracing. METHODS OF STUDY SELECTION: One hundred twenty-four references had sufficient information concerning numbers of subjects, methods, and findings to be included. TABULATION, INTEGRATION, AND RESULTS: The teratogenic potential in humans ranged from "none" (penicillin G and VK) to "unlikely" (amoxicillin, chloramphenicol, ciprofloxacin, doxycycline, levofloxacin, and rifampin) to "undetermined" (clindamycin, gentamicin, and vancomycin). Assessments were based on "good data" (penicillin G and VK), "fair data" (amoxicillin, chloramphenicol, ciprofloxacin, doxycycline, levofloxacin, and rifampin), "limited data" (clindamycin and gentamicin), and "very limited data" (vancomycin). Significant pharmacokinetic changes occurred during pregnancy for the penicillins, fluoroquinolones and gentamicin, indicating that dosage adjustments for these drugs may be necessary. With the exception of chloramphenicol, all of these antibiotics are considered compatible with breastfeeding. CONCLUSION: Health care professionals should consider the teratogenic and toxic risk profiles of antibiotics to assist in making prescribing decisions for pregnant and lactating women. These may become especially important if anti-infective countermeasures are required to protect the health, safety, and survival of individuals exposed to pathogenic bacteriologic agents that may occur from bioterrorist acts.

Anti-Bacterial Agents↗

SNPs and haplotypes: genetic markers for disease and drug response (review).

The genetic make-up of an individual not only determines disease susceptibility but also response to drug treatment. It is because of this reason tremendous progress has recently been made in cataloging human sequence variations with an intention such that a high-density map will provide necessary tools to develop genetic-based diagnostic and therapeutic options. The availability of the human DNA sequence, its variation between individuals and the functional understanding of genetic determinants between individuals may enable pharmaceutical companies to discover safer and effective drugs. This will provide physicians with better tools to select the most appropriate treatment for each patient and avoid drugs that cause adverse effects. When a personalized medication becomes a more realistic and beneficial treatment, every newborn child in the neonatal unit will probably be genotyped as a routine procedure for improved treatment. This newly developed toxicogenomic or pharmacogenomic field is rapidly advancing and may change the practice of medicine in the future, providing personalized medicine for each individual.

Animals↗

CD-ROM software.

Explore the source record for details and available documents.

CD-ROM↗

Drugs, the human genome, and individual-based medicine.

The so-called "Genomic Revolution" has made possible the high-resolution sequencing of the DNA making up the human genome. One of the main conclusions of the currently available sequencing data is that individuals differ genetically from one another via sequence variations in their genomes. When affected genes are transcribed and translated, some of these sequence variations result in protein products that may affect the functioning of the proteins. This has led to widespread optimism that information on an individual's pattern of sequence variations will lead to drugs that target that individual's variant proteins and make "individual-based medicine" possible. I this chapter some of the assumptions underlying the proposed production of individual drug treatments are examined. The assumptions are viewed in the light of very recent experimental evidence about the sequence patterns found in humans. Also discussed are ancillary ethical problems in cataloging and using databases containing individuals' sequence data, what human genomic sequences are revealing about the use of animal models in developing drugs, and how evidence is mounting that the human genome is only one element serving to maintain an organism's interaction with its environment.

Animals↗

Automated decentralized pharmacy dispensing systems.

Automated decentralized pharmacy dispensing systems (ADPDSs) are medication management systems that allow hospitals to store and dispense drugs near the point of use. These systems, which can be compared with the automated teller machines used by banks, provide nurses with ready access to medications while maintaining tight control of drug distribution. In this study, we evaluated three ADPDSs from two suppliers, focusing on whether these systems can store and dispense drugs in a safe, secure, and effective manner. When rating the systems, we considered their applicability to two different implementation schemes: The use of a system with a pharmacy profile interface. This feature broadens the capabilities of the system by allowing more information to be provided at the dispensing cabinet and by providing better integration of the information from this cabinet with the pharmacy's information system. Two of the evaluated systems have this feature and were rated Acceptable. The use of a system without a pharmacy profile interface. We rated all three of the evaluated systems Acceptable for such implementations. To decide which scheme is most appropriate for a particular hospital, the facility will need to determine both how it intends to use the ADPDS and what it hopes to achieve by implementing the system. By performing this type of analysis, the facility can then determine which ADPDS features and capabilities are needed to accomplish its goals. To help facilities make these decisions, we have provided an Equipment Management Guide, "Improving the Drug Distribution Process-Do You Need an Automated Decentralized Pharmacy Dispensing System?," which precedes this Evaluation. In addition, readers unfamiliar with the roles of both the pharmacy and the pharmacist within the hospital can refer to the Primer, "Functions of a Hospital Pharmacy," also published in this issue.

Automation↗

Catalog of 300 SNPs in 23 genes encoding G-protein coupled receptors.

We previously published a series of detailed maps of single nucleotide polymorphisms (SNPs) in the genomic regions of 209 gene loci encoding drug metabolizing enzymes, transporters, receptors, and other potential drug targets. In addition to the maps reported earlier, we provide here high-resolution SNP maps of 23 genes encoding G-protein coupled receptors in the Japanese population. A total of 300 SNPs were identified through screening of these loci; 83 in four adenosine receptor family genes, 45 in three adrenergic receptor family genes, 22 in three EDG receptor family genes, 29 in three melanocortin receptor family genes, 22 in two somatostatin receptor family genes, 21 in five anonymous G protein-coupled receptor family genes, and 78 in the others (AVPR1B, OXTR, and TNFRSF1A). We also discovered a total of 33 genetic variations of other types. Of the 300 SNPs, 132 (44%) appeared to be novel on the basis of comparisons with the dbSNP database of the National Center for Biotechnology Information (US) or with previous publications. The maps constructed in this study will serve as an additional resource for studies of complex genetic diseases and drug-response phenotypes to be mapped by linkage-disequilibrium association analyses.

Catalogs as Topic↗

Desiccated thyroid in a nutritional supplement.

Nutritional or vitamin supplements, which are largely unregulated by the Food and Drug Administration (FDA) and are sold in health food stores and through mail-order catalogs, may contain various combinations and doses of vitamins, minerals, herbs, chemicals, and animal tissues. Some of the products marketed as nutritional supplements contain desiccated porcine or bovine thyroid. A patient came to our family practice center with resting tachycardia, amenorrhea, and weight loss. She had been taking a nutritional supplement containing desiccated thyroid for 3 months. Laboratory studies confirmed the presence of hyperthyroidism. The daily recommended and consumed dose of the product she had been taking exceeded the normal replacement dose by two to three times. There is potential for harm in the unregulated availability and distribution of desiccated thyroid to the public.

Adult↗

Medical information on the Internet.

Connecting to the Internet allows health care professionals to access medical information at computer sites worldwide, to search databases, communicate with peers, obtain continuing education, retrieve images and software, obtain drug information and access statistical data. Users can access sites with "virtual patients," search library catalogs, locate jobs and post resumes, and explore conference sites and topics. Rural health care professionals can have access to medical information equivalent to their urban peers. Information is usually available over the Internet much more rapidly than through traditional print methods.

Computer Communication Networks↗

Catalog of 320 single nucleotide polymorphisms (SNPs) in 20 quinone oxidoreductase and sulfotransferase genes.

Single nucleotide polymorphisms (SNPs) in genes encoding drug-metabolizing enzymes, transporters, receptors, and other drug targets have been widely implicated as contributors to differences among individuals as regards the efficacy and toxicity of many medications, as well as the susceptibility to complex diseases. By combining the polymerase chain reaction (PCR) technique with direct sequencing, we screened genomic DNAs from 48 Japanese volunteers for SNPs in genes encoding three quinone oxidoreductases (NQO1, NQO2, and PIG3) and 17 sulfotransferases (SULT1A1, SULT1A2, SULT1A3, SULT1C1, SULT1C2, SULT2A1, SULT2B1, ST1B2, TPST1, TPST2, SULTX3, STE, CST, HNK-1 ST, CHST2, CHST4, and CHST5). In all, we identified 320 SNPs from these 20 loci: 22 within coding elements, 21 in 5' flanking regions, 10 in 5' untranslated regions, 223 in introns, 19 in 3' untranslated regions, and 25 in 3' flanking regions. The ratio of transitions to transversions was approximately 2.3 to 1. Of the 22 coding SNPs, 6 were nonsynonymous substitutions that resulted in amino-acid substitutions. The high-density SNP maps we constructed from this data for each of the quinone oxidoreductases and sulfotransferases examined here should provide useful information for investigations designed to detect association(s) between genetic variations and common diseases or responsiveness to drug therapy.

Base Sequence↗

No phenotypic resistance observed for most group-3 and -4 variants in Mycobacterium tuberculosis genes related to bedaquiline, clofazimine, delamanid, and pretomanid in a Central and West African context.

The interpretation of genetic variants' association (or not) with phenotypic resistance to newly introduced and repurposed antituberculosis drugs remains challenging, as many mutations detected by whole-genome sequencing (WGS) are classified as of uncertain significance (group 3) or not associated with resistance-interim (group 4) by the World Health Organization (WHO) mutation catalog v2. We evaluated the phenotypic impact of such variants on minimum inhibitory concentrations (MICs) for bedaquiline (BDQ), clofazimine (CFZ), delamanid (DLM), and pretomanid (PA) in Mycobacterium tuberculosis complex isolates from the multi-country DIAMA cohort in sub-Saharan Africa (SSA), which recruited RR/RS-TB patients naïve to these drugs. Among 1,475 isolates with available WGS data, 163 variants met eligibility criteria; due to viable strain unavailability, 89 isolates carrying 29 unique BDQ/CFZ-related and 60 unique DLM/PA-related variants were tested for MIC determination using broth microdilution. Additional structural modeling was performed to explore potential effects of amino-acid substitutions on protein stability. Among BDQ/CFZ-related variants, MICs above the critical concentrations (CCs) were consistently associated with mmpR5 variants, whereas variants in atpE, pepQ, and Rv1979c were not. DLM/PA variants (ddn, fbiA-D, and fgd1) were frequently detected as non-fixed populations, yet rarely yielding MIC values above the CC. Predicted structural destabilization showed no consistent association with MIC values or variant fixation status. Under the conditions tested, phenotypic resistance was not detected for most group 3 and 4 variants detected by WGS. Our data provide evidence from SSA to support improved interpretation of resistance-associated mutations for new and repurposed antituberculosis drugs.IMPORTANCEWhole-genome sequencing increasingly detects Mycobacterium tuberculosis complex mutations classified by the World Health Organization (WHO) mutation catalog v2 as group 3 variants of uncertain significance or group 4 variants not associated with resistance-interim, limiting reliable prediction of resistance to new and repurposed antituberculosis drugs. By generating minimum inhibitory concentration (MIC) data for such variants identified in a multi-country sub-Saharan African cohort, this study provides phenotypic evidence to support future refinement and expansion of the WHO mutation catalog v2. Notably, mmpR5 variants associated with elevated bedaquiline/clofazimine MICs were identified in eight isolates, suggesting that some patients in this cohort may have harbored pre-existing resistance-associated variants yet remained potentially eligible for bedaquiline-containing regimens. These findings contribute to improving the interpretation of genomic resistance data and strengthening surveillance of resistance to bedaquiline, clofazimine, delamanid, and pretomanid.

Mycobacterium tuberculosis↗

Tahoe-100M: Mapping drug-induced molecular phenotypes at single-cell resolution.

We present Tahoe-100M, a giga-scale single-cell perturbation atlas comprising 100 million transcriptomes from 50 diverse cancer cell lines treated with 1,100 drug-dose conditions. This parallel profiling of thousands of perturbations at single-cell resolution with minimal batch effects is enabled by the Mosaic platform, which multiplexes genetically distinct cell models into balanced "cell villages." Beyond cataloging transcriptomic shifts, Tahoe-100M systematically quantifies cellular phenotypes, including proliferation, cytotoxicity, lineage-specific vulnerabilities, and cell-cycle changes. It captures population-level transcriptomic heterogeneity, characterizing whether drug responses drive cells toward divergent fates or convergent states. Pathway-based signatures define drug-induced expression programs, classify mechanisms of action, reveal off-target activities, and expose adaptive stress responses associated with resistance. By unifying cellular and molecular readouts, this broadly applicable perturbation atlas advances our ability to model gene regulation, drug response, and network dynamics. Its public release enables the training of AI frameworks to advance predictive models of cell behavior.

Humans↗

Catalog of 77 single-nucleotide polymorphisms (SNPs) in the carbohydrate sulfotransferase 1 (CHST1) and carbohydrate sulfotransferase 3 (CHST3) genes.

Individual phenotypes with respect to drug response or toxicity often result from genetic variations that alter drug metabolism. We have been focusing on genomic loci that encode various enzymes and transporters involved in the metabolism of drugs, and have described more than 1200 single-nucleotide polymorphisms (SNPs) and other variations. Regarding the carbohydrate sulfotransferase (CHST) gene family, we have already constructed high-density SNP maps of three genomic segments that included CHST2, CHST4, and CHST5, providing a total of 28 SNPs for those loci. In the present study, we screened DNA from 48 healthy Japanese volunteers for SNPs at the CHST1 and CHST3 gene loci, by means of direct sequencing combined with a polymerase chain reaction method for amplifying genomic DNA, and characterized 77 SNPs and four insertion-deletion polymorphisms. The collection of human variations presented here adds to the archive of tools now available for investigating complex genetic diseases, population migration patterns, and a variety of pharmacogenetic possibilities.

DNA↗

Catalog of 605 single-nucleotide polymorphisms (SNPs) among 13 genes encoding human ATP-binding cassette transporters: ABCA4, ABCA7, ABCA8, ABCD1, ABCD3, ABCD4, ABCE1, ABCF1, ABCG1, ABCG2, ABCG4, ABCG5, and ABCG8.

Single-nucleotide polymorphisms (SNPs) at some gene loci are useful as markers of individual risk for adverse drug reactions or susceptibility to complex diseases. We have been focusing on identifying SNPs in and around genes encoding drug-metabolizing enzymes and transporters, and have constructed several high-density SNP maps of such regions. Here we report SNPs at additional loci, specifically 13 genes belonging to the superfamily of ATP-binding cassette transporters ( ABCA4, ABCA7, ABCA8, ABCD1, ABCD3, ABCD4, ABCE1, ABCF1, ABCG1, ABCG2, ABCG4, ABCG5, and ABCG8). Sequencing a total of 416 kb of genomic DNA from 48 Japanese volunteers identified 605 SNPs among these 13 loci: 14 in 5' flanking regions, 5 in 5' untranslated regions, 37 within coding elements, 529 in introns, 8 in 3' untranslated regions, and 12 in 3' flanking regions. By comparing our data with SNPs deposited in the dbSNP database of the National Center for Biotechnology Information (US) and with published reports, we determined that 491 (81%) of the SNPs reported here were novel. We also detected 107 genetic variations of other types among the loci examined (insertion-deletions or mono- di-, or trinucleotide polymorphisms). The high-density SNP maps we constructed on the basis of these data should provide useful information for investigating associations between genetic variations and common diseases or responsiveness to drug therapy.

ATP-Binding Cassette Transporters↗

Profiling of drug resistance in Src kinase at scale uncovers a regulatory network coupling autoinhibition and catalytic domain dynamics.

Kinase inhibitors are effective cancer therapies, but resistance often limits clinical efficacy. Despite the cataloging of numerous resistance mutations, our understanding of kinase inhibitor resistance is still incomplete. Here, we comprehensively profiled the resistance of ∼3,500 Src tyrosine kinase mutants to four different ATP-competitive inhibitors. We found that ATP-competitive inhibitor resistance mutations are distributed throughout Src's catalytic domain. In addition to inhibitor contact residues, residues that participate in regulating Src's phosphotransferase activity were prone to the development of resistance. Unexpectedly, we found that a resistance-prone cluster of residues located on the top face of the N-terminal lobe of Src's catalytic domain contributes to autoinhibition by reducing catalytic domain dynamics, and mutations in this cluster led to resistance by lowering inhibitor affinity and promoting kinase hyperactivation. Together, our studies demonstrate how drug resistance profiling can be used to define potential resistance pathways and uncover new mechanisms of kinase regulation.

src-Family Kinases↗